From e63345f53196b39f6068684016b000a370d07fa5 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 22 Jun 2024 17:53:00 +0200 Subject: [PATCH 001/172] remove old workflows --- .github/workflows/build.yml | 34 -------------------------- .github/workflows/python-publish.yml | 36 ---------------------------- .github/workflows/stale.yml | 22 ----------------- 3 files changed, 92 deletions(-) delete mode 100644 .github/workflows/build.yml delete mode 100644 .github/workflows/python-publish.yml delete mode 100644 .github/workflows/stale.yml diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml deleted file mode 100644 index 0b32e23a..00000000 --- a/.github/workflows/build.yml +++ /dev/null @@ -1,34 +0,0 @@ -name: Build and Test - -on: [push] - -jobs: - build: - runs-on: ubuntu-latest - strategy: - max-parallel: 4 - matrix: - python-version: ['3.7', '3.8', '3.9', '3.10'] - - steps: - - name: Checkout - uses: actions/checkout@v2 - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v1 - with: - python-version: ${{ matrix.python-version }} - - name: Install dependencies - run: | - python3 -m pip install --upgrade pip - pip3 install python-copasi - pip3 install -e .[test,dataverse] - - name: Test with pytest - run: | - python3 -m pytest - - name: Lint with flake8 - run: | - pip install flake8 - # stop the build if there are Python syntax errors or undefined names - flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics - # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide - flake8 . --count --exit-zero --max-complexity=13 --max-line-length=127 --statistics diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml deleted file mode 100644 index bc1a4f66..00000000 --- a/.github/workflows/python-publish.yml +++ /dev/null @@ -1,36 +0,0 @@ -# This workflow will upload a Python Package using Twine when a release is created -# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries - -# This workflow uses actions that are not certified by GitHub. -# They are provided by a third-party and are governed by -# separate terms of service, privacy policy, and support -# documentation. - -name: Upload Python Package - -on: - release: - types: [published] - -jobs: - deploy: - - runs-on: ubuntu-latest - - steps: - - uses: actions/checkout@v2 - - name: Set up Python - uses: actions/setup-python@v2 - with: - python-version: '3.9' - - name: Install dependencies - run: | - python -m pip install --upgrade pip - pip install build - - name: Build package - run: python -m build - - name: Publish package - uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29 - with: - user: __token__ - password: ${{ secrets.PYPI_API_TOKEN }} diff --git a/.github/workflows/stale.yml b/.github/workflows/stale.yml deleted file mode 100644 index 246c34d3..00000000 --- a/.github/workflows/stale.yml +++ /dev/null @@ -1,22 +0,0 @@ -name: Close inactive issues -on: - schedule: - - cron: "30 1 * * *" - -jobs: - close-issues: - runs-on: ubuntu-latest - permissions: - issues: write - pull-requests: write - steps: - - uses: actions/stale@v3 - with: - days-before-issue-stale: 30 - days-before-issue-close: 14 - stale-issue-label: "stale" - stale-issue-message: "This issue is stale because it has been open for 30 days with no activity." - close-issue-message: "This issue was closed because it has been inactive for 14 days since being marked as stale." - days-before-pr-stale: -1 - days-before-pr-close: -1 - repo-token: ${{ secrets.GITHUB_TOKEN }} From 71db8a1d765c8d819cef810952fee3bc9a3cc2ba Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 22 Jun 2024 17:53:37 +0200 Subject: [PATCH 002/172] fix spelling --- docs/_examples/01_KineticModeling_PySCeS.ipynb | 14 +++++++------- docs/_examples/01_KineticModeling_PySCeS.rst | 18 +++++++++--------- docs/_getstarted/01_BasicUsage.ipynb | 12 ++++++------ docs/_getstarted/01_BasicUsage.rst | 16 ++++++++-------- docs/_getstarted/02_Validation.ipynb | 4 ++-- docs/_getstarted/02_Validation.rst | 4 ++-- docs/_getstarted/03_Visualisation.ipynb | 8 ++++---- docs/_getstarted/04_UploadToDataverse.ipynb | 2 +- docs/_getstarted/04_UploadToDataverse.rst | 2 +- .../EnzymeML_Validation_Template.yaml | 6 +++--- .../EnzymeML_Validation_Template_Example.yaml | 6 +++--- examples/Basic example/CreateEnzymeML.ipynb | 12 ++++++------ examples/Dataverse/UploadToDataverse.ipynb | 2 +- examples/ThinLayers/COPASI/Untitled.ipynb | 6 +++--- examples/ThinLayers/TL_BioCatNet.py | 2 +- .../EnzymeML_Validation_Template.yaml | 6 +++--- .../EnzymeML_Validation_Template_Example.yaml | 6 +++--- examples/Validation/ValidateEnzymeML.ipynb | 4 ++-- examples/Visualisation/Visualisation.ipynb | 8 ++++---- 19 files changed, 69 insertions(+), 69 deletions(-) diff --git a/docs/_examples/01_KineticModeling_PySCeS.ipynb b/docs/_examples/01_KineticModeling_PySCeS.ipynb index 291de8df..49f3dbb6 100644 --- a/docs/_examples/01_KineticModeling_PySCeS.ipynb +++ b/docs/_examples/01_KineticModeling_PySCeS.ipynb @@ -7,7 +7,7 @@ "source": [ "# Modeling a reaction by mass action cascades using PySCeS\n", "\n", - "This notebook is part of the publication \"EnzymeML at Work\" from Lauterbach et al. 2022 and adds a given micro-kinetic model to an EnzymeML document. Prior to this, experimental data was collected using the EnzymeML spreadsheet and converted to EnzymeML. The following notebook adresses the following key procedures using PyEnzyme:\n", + "This notebook is part of the publication \"EnzymeML at Work\" from Lauterbach et al. 2022 and adds a given micro-kinetic model to an EnzymeML document. Prior to this, experimental data was collected using the EnzymeML spreadsheet and converted to EnzymeML. The following notebook addresses the following key procedures using PyEnzyme:\n", "\n", "- Editing existing species\n", "- Adding new species from scratch or by DB-fetch\n", @@ -196,7 +196,7 @@ "\n", "```s0 * vmax / (Km + s0)```\n", "\n", - "which requires an equation string for each model. This can become quite tedious and for models, where most reactions share the same rate law quite error prone if done manually. Hence, the ```createGenerator```-initializer of the ```KineticModel``` offers a convinient way to generalize models and ensure consistency as well as re-usability.\n", + "which requires an equation string for each model. This can become quite tedious and for models, where most reactions share the same rate law quite error prone if done manually. Hence, the ```createGenerator```-initializer of the ```KineticModel``` offers a convenient way to generalize models and ensure consistency as well as re-usability.\n", "\n", "
" ] @@ -208,9 +208,9 @@ "source": [ "#### Excursion: Setting up a model generator\n", "\n", - "In order to set up a model generator it requires a ```name```, an ```equation``` and an explicit description of the used parameters occuring in the equation. For instance, lets set up an ```Example-Model``` with equation ```param * substrate``` and parameter ```param``` for simplicity.\n", + "In order to set up a model generator it requires a ```name```, an ```equation``` and an explicit description of the used parameters occurring in the equation. For instance, lets set up an ```Example-Model``` with equation ```param * substrate``` and parameter ```param``` for simplicity.\n", "\n", - "The algorithm will detect parameters based on the keyword arguments passed to the generator. In addtion, these keyword arguments should include a dicitonary that can optionally be equipped with all prossible attributes the ```KineticParameter``` class can hold." + "The algorithm will detect parameters based on the keyword arguments passed to the generator. In addition, these keyword arguments should include a dictionary that can optionally be equipped with all prossible attributes the ```KineticParameter``` class can hold." ] }, { @@ -276,7 +276,7 @@ "source": [ "### Adding rate laws\n", "\n", - "As previously discussed, all rate laws will be set up as generator objects that are assigned to each reaction using the corrsponding educts/products. In addition, parameters that occur in more than one reaction, are defined as gobal parameters.\n", + "As previously discussed, all rate laws will be set up as generator objects that are assigned to each reaction using the corresponding educts/products. In addition, parameters that occur in more than one reaction, are defined as global parameters.\n", "\n", "Finally, after that has been done, all reactions will be added to the ```EnzymeMLDocument``` object and an overview generated to control the assignment using the ```printReactionSchemes``` method of the EnzymeML document." ] @@ -548,9 +548,9 @@ "\n", "Now that the EnzymeMLDocument has been adapted to the micro-kinetic model, it can be modeled and optimized using PySCeS and COPASI. Since both modeling package interfaces are an integral part of PyEnzyme, called Thin Layer, a simple call to the corresponding Thin Layer object is necessary.\n", "\n", - "But before optimization, it might be necessary to define initial values. Since manipulating the KineticParameter initial_values attributes inside the script that generates the EnzymeMLDocument can get quite tedious, PyEnzyme offers an external data structure from within initial values can be applied. This way, the EnzymeML document is only modifed at optimization and remains untouched until then.\n", + "But before optimization, it might be necessary to define initial values. Since manipulating the KineticParameter initial_values attributes inside the script that generates the EnzymeMLDocument can get quite tedious, PyEnzyme offers an external data structure from within initial values can be applied. This way, the EnzymeML document is only modified at optimization and remains untouched until then.\n", "\n", - "The initialization file is in the YAML format and contains all reactions and their parameters. In addtion, PyEnzyme offers a method to generate such a YAML file, which can be edited manually with the initial parameter values for the optimization." + "The initialization file is in the YAML format and contains all reactions and their parameters. In addition, PyEnzyme offers a method to generate such a YAML file, which can be edited manually with the initial parameter values for the optimization." ] }, { diff --git a/docs/_examples/01_KineticModeling_PySCeS.rst b/docs/_examples/01_KineticModeling_PySCeS.rst index efb10974..7fc4d208 100644 --- a/docs/_examples/01_KineticModeling_PySCeS.rst +++ b/docs/_examples/01_KineticModeling_PySCeS.rst @@ -5,7 +5,7 @@ This notebook is part of the publication “EnzymeML at Work” from Lauterbach et al. 2022 and adds a given micro-kinetic model to an EnzymeML document. Prior to this, experimental data was collected using the EnzymeML spreadsheet and converted to EnzymeML. The following -notebook adresses the following key procedures using PyEnzyme: +notebook addresses the following key procedures using PyEnzyme: - Editing existing species - Adding new species from scratch or by DB-fetch @@ -184,20 +184,20 @@ which requires an equation string for each model. This can become quite tedious and for models, where most reactions share the same rate law quite error prone if done manually. Hence, the ``createGenerator``-initializer of the ``KineticModel`` offers a -convinient way to generalize models and ensure consistency as well as +convenient way to generalize models and ensure consistency as well as re-usability. Excursion: Setting up a model generator ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ In order to set up a model generator it requires a ``name``, an -``equation`` and an explicit description of the used parameters occuring +``equation`` and an explicit description of the used parameters occurring in the equation. For instance, lets set up an ``Example-Model`` with equation ``param * substrate`` and parameter ``param`` for simplicity. The algorithm will detect parameters based on the keyword arguments -passed to the generator. In addtion, these keyword arguments should -include a dicitonary that can optionally be equipped with all prossible +passed to the generator. In addition, these keyword arguments should +include a dictionary that can optionally be equipped with all prossible attributes the ``KineticParameter`` class can hold. .. code:: ipython3 @@ -238,9 +238,9 @@ Adding rate laws ~~~~~~~~~~~~~~~~ As previously discussed, all rate laws will be set up as generator -objects that are assigned to each reaction using the corrsponding +objects that are assigned to each reaction using the corresponding educts/products. In addition, parameters that occur in more than one -reaction, are defined as gobal parameters. +reaction, are defined as global parameters. Finally, after that has been done, all reactions will be added to the ``EnzymeMLDocument`` object and an overview generated to control the @@ -446,11 +446,11 @@ But before optimization, it might be necessary to define initial values. Since manipulating the KineticParameter initial_values attributes inside the script that generates the EnzymeMLDocument can get quite tedious, PyEnzyme offers an external data structure from within initial values -can be applied. This way, the EnzymeML document is only modifed at +can be applied. This way, the EnzymeML document is only modified at optimization and remains untouched until then. The initialization file is in the YAML format and contains all reactions -and their parameters. In addtion, PyEnzyme offers a method to generate +and their parameters. In addition, PyEnzyme offers a method to generate such a YAML file, which can be edited manually with the initial parameter values for the optimization. diff --git a/docs/_getstarted/01_BasicUsage.ipynb b/docs/_getstarted/01_BasicUsage.ipynb index cf58a66b..1b9b28fc 100644 --- a/docs/_getstarted/01_BasicUsage.ipynb +++ b/docs/_getstarted/01_BasicUsage.ipynb @@ -340,9 +340,9 @@ "source": [ "## Documenting measurement setups\n", "\n", - "Now that the theoretical foundation of the experiment has been layed out, it is time to specify the setup of teh measurement. PyEnzyme offers a lab-like system to document such setups. Typically, experiments involve multiple runs with varying initial concentrations of every element that occurs in the reaction network or/and varying conditions such as temperature and pH. Hence, PyEnzyme builts on top of a **measurement** system, where each of these represent a 'run'.\n", + "Now that the theoretical foundation of the experiment has been laid out, it is time to specify the setup of the measurement. PyEnzyme offers a lab-like system to document such setups. Typically, experiments involve multiple runs with varying initial concentrations of every element that occurs in the reaction network or/and varying conditions such as temperature and pH. Hence, PyEnzyme builts on top of a **measurement** system, where each of these represent a 'run'.\n", "\n", - "In this example, the following setups will be tracked including changing inital concentrations and temperatures:\n", + "In this example, the following setups will be tracked including changing initial concentrations and temperatures:\n", "\n", "| Measurement Name | Species | Initial concentration | Unit | Temperature | pH |\n", "|------------------|-----------|-----------------------|-----------|-------------|-----|\n", @@ -588,7 +588,7 @@ "source": [ "## Saving and distributing an EnzymeML document\n", "\n", - "Finally, the experiment has been finished and meta- as well as raw-data been documented. In order to make the data exchangable, PyEnzyme offers several options for data export. First and foremost, the complete experiment can be exported to EnzymeML which is SBML compatible and thus accessible by SBML-based modeling tools (e.g. COPASI, PySCeS). Furthermore, in regard of the web, PyEnzyme offers a JSON export too.\n", + "Finally, the experiment has been finished and meta- as well as raw-data been documented. In order to make the data exchangeable, PyEnzyme offers several options for data export. First and foremost, the complete experiment can be exported to EnzymeML which is SBML compatible and thus accessible by SBML-based modeling tools (e.g. COPASI, PySCeS). Furthermore, in regard of the web, PyEnzyme offers a JSON export too.\n", "\n", "Apart from raw exports, PyEnzyme can also interface with the federated databases system Dataverse by providing a simple upload method that automatically uploads and processes the document contents to a Dataverse compatible format. Please note, the Dataverse must support the 'EnzymeML' metadatablock for a successful upload.\n" ] @@ -676,7 +676,7 @@ "\n", "**Tips and hints:**\n", "\n", - "- PyEnzyme stores a history in the document, which keeps track of what has been changed and added in the course of an experiment. This is done, to spot potential errors and facilitate teh documentation of an experiment's lifeline." + "- PyEnzyme stores a history in the document, which keeps track of what has been changed and added in the course of an experiment. This is done, to spot potential errors and facilitate the documentation of an experiment's lifeline." ] }, { @@ -732,7 +732,7 @@ "source": [ "#### Special case: From the EnzymeML spreadsheet template\n", "\n", - "Apart from programmatic creation of an EnzymeML document, PyEnzyme offers a way to convert the 'EnzymeML spreadhseet template' to an OMEX file. Since spreadsheets are the bread and butter of current lab documentation, the template widely covers teh data model and thus provides an easy access to EnzymeML's capabilities." + "Apart from programmatic creation of an EnzymeML document, PyEnzyme offers a way to convert the 'EnzymeML spreadsheet template' to an OMEX file. Since spreadsheets are the bread and butter of current lab documentation, the template widely covers the data model and thus provides an easy access to EnzymeML's capabilities." ] }, { @@ -754,7 +754,7 @@ "source": [ "#### Adding a kinetic model\n", "\n", - "Building on top of the previous section about loading an EnzymeML document, this example will demonstrate how to interact with an already created EnzymeML document using the OMEX loader. Since the purpose of an experiment is to generate data from a theory, modeling takes care of the interpretation of an experiment outcome. However, PyEnzyme and EnzymeML are no modeling platforms, but provides a convinient way to interface to such. Hence, this example will demonstrate how such an interfacing could look like.\n", + "Building on top of the previous section about loading an EnzymeML document, this example will demonstrate how to interact with an already created EnzymeML document using the OMEX loader. Since the purpose of an experiment is to generate data from a theory, modeling takes care of the interpretation of an experiment outcome. However, PyEnzyme and EnzymeML are no modeling platforms, but provides a convenient way to interface to such. Hence, this example will demonstrate how such an interfacing could look like.\n", "\n", "The enzyme-catalyzed reaction that has been reported in the course of this example obviously follows a simple Michaelis-Menten-Kinetic and thus will be reported as such. But first of all, the next part will demonstrate how measurement data can be exported to be used by a modeling framework/platform.\n", "\n", diff --git a/docs/_getstarted/01_BasicUsage.rst b/docs/_getstarted/01_BasicUsage.rst index b25e2eb8..dd484dcd 100644 --- a/docs/_getstarted/01_BasicUsage.rst +++ b/docs/_getstarted/01_BasicUsage.rst @@ -238,8 +238,8 @@ Adding the reaction to the document Documenting measurement setups ------------------------------ -Now that the theoretical foundation of the experiment has been layed -out, it is time to specify the setup of teh measurement. PyEnzyme offers +Now that the theoretical foundation of the experiment has been laid +out, it is time to specify the setup of the measurement. PyEnzyme offers a lab-like system to document such setups. Typically, experiments involve multiple runs with varying initial concentrations of every element that occurs in the reaction network or/and varying conditions @@ -247,7 +247,7 @@ such as temperature and pH. Hence, PyEnzyme builts on top of a **measurement** system, where each of these represent a ‘run’. In this example, the following setups will be tracked including changing -inital concentrations and temperatures: +initial concentrations and temperatures: +------------------+-----------+-----------------------+-----------+-------------+-----+ | Measurement Name | Species | Initial concentration | Unit | Temperature | pH | @@ -427,7 +427,7 @@ Saving and distributing an EnzymeML document -------------------------------------------- Finally, the experiment has been finished and meta- as well as raw-data -been documented. In order to make the data exchangable, PyEnzyme offers +been documented. In order to make the data exchangeable, PyEnzyme offers several options for data export. First and foremost, the complete experiment can be exported to EnzymeML which is SBML compatible and thus accessible by SBML-based modeling tools (e.g. COPASI, PySCeS). @@ -499,7 +499,7 @@ In addition, it is also possible to use the aforementioned JSON - PyEnzyme stores a history in the document, which keeps track of what has been changed and added in the course of an experiment. This is - done, to spot potential errors and facilitate teh documentation of an + done, to spot potential errors and facilitate the documentation of an experiment’s lifeline. .. code:: ipython3 @@ -544,9 +544,9 @@ Special case: From the EnzymeML spreadsheet template ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Apart from programmatic creation of an EnzymeML document, PyEnzyme -offers a way to convert the ‘EnzymeML spreadhseet template’ to an OMEX +offers a way to convert the ‘EnzymeML spreadsheet template’ to an OMEX file. Since spreadsheets are the bread and butter of current lab -documentation, the template widely covers teh data model and thus +documentation, the template widely covers the data model and thus provides an easy access to EnzymeML’s capabilities. .. code:: ipython3 @@ -563,7 +563,7 @@ document, this example will demonstrate how to interact with an already created EnzymeML document using the OMEX loader. Since the purpose of an experiment is to generate data from a theory, modeling takes care of the interpretation of an experiment outcome. However, PyEnzyme and EnzymeML -are no modeling platforms, but provides a convinient way to interface to +are no modeling platforms, but provides a convenient way to interface to such. Hence, this example will demonstrate how such an interfacing could look like. diff --git a/docs/_getstarted/02_Validation.ipynb b/docs/_getstarted/02_Validation.ipynb index 92cd2954..e3f9a57b 100644 --- a/docs/_getstarted/02_Validation.ipynb +++ b/docs/_getstarted/02_Validation.ipynb @@ -70,7 +70,7 @@ "metadata": {}, "source": [ "### Using an example spreadsheet\n", - "Since the blank validation YAML wont demonstrate all types of checks, we are going to use an example that has been provided in this directory and convert it to YAML." + "Since the blank validation YAML won't demonstrate all types of checks, we are going to use an example that has been provided in this directory and convert it to YAML." ] }, { @@ -94,7 +94,7 @@ "source": [ "### Performing validation\n", "\n", - "Once the YAML file is ready, validation can be done for an example `EnzymeMLDocument` found in this directory. The validation for this example will fail by intention and thus return a report taht will be shown here. Such a report is returned as `Dict` and can be inspected either manually or programmatically. This was done to allow automation workflows to utilize validation." + "Once the YAML file is ready, validation can be done for an example `EnzymeMLDocument` found in this directory. The validation for this example will fail by intention and thus return a report that will be shown here. Such a report is returned as `Dict` and can be inspected either manually or programmatically. This was done to allow automation workflows to utilize validation." ] }, { diff --git a/docs/_getstarted/02_Validation.rst b/docs/_getstarted/02_Validation.rst index 82a84c50..f1df2dac 100644 --- a/docs/_getstarted/02_Validation.rst +++ b/docs/_getstarted/02_Validation.rst @@ -57,7 +57,7 @@ is extended, the spreadsheet will be updated too. Using an example spreadsheet ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Since the blank validation YAML wont demonstrate all types of checks, we +Since the blank validation YAML won't demonstrate all types of checks, we are going to use an example that has been provided in this directory and convert it to YAML. @@ -74,7 +74,7 @@ Performing validation Once the YAML file is ready, validation can be done for an example ``EnzymeMLDocument`` found in this directory. The validation for this -example will fail by intention and thus return a report taht will be +example will fail by intention and thus return a report that will be shown here. Such a report is returned as ``Dict`` and can be inspected either manually or programmatically. This was done to allow automation workflows to utilize validation. diff --git a/docs/_getstarted/03_Visualisation.ipynb b/docs/_getstarted/03_Visualisation.ipynb index d291abde..fe7ea148 100644 --- a/docs/_getstarted/03_Visualisation.ipynb +++ b/docs/_getstarted/03_Visualisation.ipynb @@ -52,7 +52,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -111,7 +111,7 @@ " * @author Feross Aboukhadijeh \n", " * @license MIT\n", " */\n", - "\"use strict\";var e=t(\"base64-js\"),n=t(\"ieee754\");r.Buffer=a,r.SlowBuffer=function(t){+t!=t&&(t=0);return a.alloc(+t)},r.INSPECT_MAX_BYTES=50;function i(t){if(t>2147483647)throw new RangeError('The value \"'+t+'\" is invalid for option \"size\"');var e=new Uint8Array(t);return e.__proto__=a.prototype,e}function a(t,e,r){if(\"number\"==typeof t){if(\"string\"==typeof e)throw new TypeError('The \"string\" argument must be of type string. 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Xr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Be(e.expression)};Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var Zr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Be(e.expression),this.interpolationType=n};function Jr(t,e){if(\"error\"===(t=Wr(t,e)).result)return t;var r=t.value.expression,n=Fe(r);if(!n&&!zr(e))return Or([new Dt(\"\",\"data expressions not supported\")]);var i=Ne(r,[\"zoom\"]);if(!i&&!Dr(e))return Or([new Dt(\"\",\"zoom expressions not supported\")]);var a=function t(e){var r=null;if(e instanceof cr)r=t(e.result);else if(e instanceof lr)for(var n=0,i=e.args;nn.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var 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t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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Qn(t,e){return!(!e&&Kn(t))&&!(t>=2304&&t<=3583||t>=3840&&t<=4255||Yn.Khmer(t))}function $n(t){for(var e=0,r=t;e-1&&(ai=ni),ii&&ii(t)};function li(){ci.fire(new Mt(\"pluginStateChange\",{pluginStatus:ai,pluginURL:oi}))}var ci=new Et,ui=function(){return ai},fi=function(){if(ai!==ti||!oi)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");ai=ei,li(),oi&&xt({url:oi},(function(t){t?si(t):(ai=ri,li())}))},hi={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return ai===ri||null!=hi.applyArabicShaping},isLoading:function(){return ai===ei},setState:function(t){ai=t.pluginStatus,oi=t.pluginURL},isParsed:function(){return null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return 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x(this._values[t].transition)},mi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].transition=x(e)||void 0},mi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);ethis.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);in.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new gi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new mi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return 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j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Co(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=Ws.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new qs(t)},e.prototype.queryRadius=function(t){var e=t,r=Zs(oo(\"line-width\",this,e),oo(\"line-gap-width\",this,e)),n=oo(\"line-offset\",this,e);return r/2+Math.abs(n)+so(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=lo(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*Zs(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a=3)for(var a=0;a0?e+2*t:t}var Js=Ii([{name:\"a_pos_offset\",components:4,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint16\"},{name:\"a_pixeloffset\",components:4,type:\"Int16\"}],4),Ks=Ii([{name:\"a_projected_pos\",components:3,type:\"Float32\"}],4),Qs=(Ii([{name:\"a_fade_opacity\",components:1,type:\"Uint32\"}],4),Ii([{name:\"a_placed\",components:2,type:\"Uint8\"},{name:\"a_shift\",components:2,type:\"Float32\"}])),$s=(Ii([{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]),Ii([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4)),tl=Ii([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);Ii([{name:\"triangle\",components:3,type:\"Uint16\"}]),Ii([{type:\"Int16\",name:\"anchorX\"},{type:\"Int16\",name:\"anchorY\"},{type:\"Uint16\",name:\"glyphStartIndex\"},{type:\"Uint16\",name:\"numGlyphs\"},{type:\"Uint32\",name:\"vertexStartIndex\"},{type:\"Uint32\",name:\"lineStartIndex\"},{type:\"Uint32\",name:\"lineLength\"},{type:\"Uint16\",name:\"segment\"},{type:\"Uint16\",name:\"lowerSize\"},{type:\"Uint16\",name:\"upperSize\"},{type:\"Float32\",name:\"lineOffsetX\"},{type:\"Float32\",name:\"lineOffsetY\"},{type:\"Uint8\",name:\"writingMode\"},{type:\"Uint8\",name:\"placedOrientation\"},{type:\"Uint8\",name:\"hidden\"},{type:\"Uint32\",name:\"crossTileID\"},{type:\"Int16\",name:\"associatedIconIndex\"}]),Ii([{type:\"Int16\",name:\"anchorX\"},{type:\"Int16\",name:\"anchorY\"},{type:\"Int16\",name:\"rightJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"centerJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"leftJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"verticalPlacedTextSymbolIndex\"},{type:\"Int16\",name:\"placedIconSymbolIndex\"},{type:\"Int16\",name:\"verticalPlacedIconSymbolIndex\"},{type:\"Uint16\",name:\"key\"},{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"verticalTextBoxStartIndex\"},{type:\"Uint16\",name:\"verticalTextBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"verticalIconBoxStartIndex\"},{type:\"Uint16\",name:\"verticalIconBoxEndIndex\"},{type:\"Uint16\",name:\"featureIndex\"},{type:\"Uint16\",name:\"numHorizontalGlyphVertices\"},{type:\"Uint16\",name:\"numVerticalGlyphVertices\"},{type:\"Uint16\",name:\"numIconVertices\"},{type:\"Uint16\",name:\"numVerticalIconVertices\"},{type:\"Uint16\",name:\"useRuntimeCollisionCircles\"},{type:\"Uint32\",name:\"crossTileID\"},{type:\"Float32\",name:\"textBoxScale\"},{type:\"Float32\",components:2,name:\"textOffset\"},{type:\"Float32\",name:\"collisionCircleDiameter\"}]),Ii([{type:\"Float32\",name:\"offsetX\"}]),Ii([{type:\"Int16\",name:\"x\"},{type:\"Int16\",name:\"y\"},{type:\"Int16\",name:\"tileUnitDistanceFromAnchor\"}]);function el(t,e,r){return t.sections.forEach((function(t){t.text=function(t,e,r){var n=e.layout.get(\"text-transform\").evaluate(r,{});return\"uppercase\"===n?t=t.toLocaleUpperCase():\"lowercase\"===n&&(t=t.toLocaleLowerCase()),hi.applyArabicShaping&&(t=hi.applyArabicShaping(t)),t}(t.text,e,r)})),t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}ol.Varint=0,ol.Fixed64=1,ol.Bytes=2,ol.Fixed32=5;var sl=\"undefined\"==typeof TextDecoder?null:new TextDecoder(\"utf8\");function ll(t){return t.type===ol.Bytes?t.readVarint()+t.pos:t.pos+1}function cl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function ul(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function fl(t,e){for(var r=0;r>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function wl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}ol.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos>3,a=this.pos;this.type=7&n,t(i,e,this),this.pos===a&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=bl(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var 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n}(this.buf,e,t)},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==ol.Bytes)return t.push(this.readVarint(e));var r=ll(this);for(t=t||[];this.pos127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e268435455||t<0?function(t,e){var r,n;t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0));if(t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var 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a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},g=h.reduce(d,0),m=p.reduce(d,0),v=l-g,y=c-m,x=0,b=g,_=0,w=m,T=0,k=v,A=0,M=y;if(o.content&&n){var S=o.content;x=nc(h,0,S[0]),_=nc(p,0,S[1]),b=nc(h,S[0],S[2]),w=nc(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,a,l,c){var h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,g),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-A,M,a.stretch,m),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,g),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-A,M,c.stretch,m),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var 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r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return te?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;co)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,g=new lc([],fc);if(0===p)return new i(n,a);for(var m=n;my.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new hc(b.p.x-d,b.p.y-d,d,t)),g.push(new hc(b.p.x+d,b.p.y-d,d,t)),g.push(new hc(b.p.x-d,b.p.y+d,d,t)),g.push(new hc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: \"+x),console.log(\"best distance: \"+y.d)),y.p}function fc(t,e){return e.max-t.max}function hc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;it.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ro(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}lc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},lc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},lc.prototype.peek=function(){return this.data[0]},lc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},lc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;gn)i=!1;else if(e)if(this.expirationTimeot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new fo(9);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new fo(4);return fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Wr,t.createLayout=Ii,t.createStyleLayer=function(t){return\"custom\"===t.type?new Dc(t):new Rc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new pi(h),o),c[\"text-size\"].possiblyEvaluate(new pi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,g=d.minZoom,m=d.maxZoom;u.compositeIconSizes=[c[\"icon-size\"].possiblyEvaluate(new pi(g),o),c[\"icon-size\"].possiblyEvaluate(new pi(m),o)]}u.layoutTextSize=c[\"text-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.layoutIconSize=c[\"icon-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.textMaxSize=c[\"text-size\"].possiblyEvaluate(new pi(18));for(var v=24*l.get(\"text-line-height\"),y=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),b=l.get(\"text-size\"),w=function(){var a=k[T],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),c=b.evaluate(a,{},o),f=u.layoutTextSize.evaluate(a,{},o),h=u.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,g=[0,0];if(d){var m=d.toString(),w=24*l.get(\"text-letter-spacing\").evaluate(a,{},o),A=function(t){for(var e=0,r=t;e=8192||f.y<0||f.y>=8192||function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,w,T,k,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),I=0,O=0,z=0,D=0,R=-1,F=-1,B={},N=ya(\"\"),j=0,U=0;void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(M=s.layout.get(\"text-offset\").evaluate(b,{},k).map((function(t){return 24*t})),j=M[0],U=M[1]):(j=24*s.layout.get(\"text-radial-offset\").evaluate(b,{},k),U=pc);if(t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(b,{},k)+90,H=n.vertical;L=new sc(l,e,c,u,f,H,h,p,d,V),o&&(C=new sc(l,e,c,u,f,o,m,v,d,V))}if(i){var q=s.layout.get(\"icon-rotate\").evaluate(b,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Y=rc(i,q,T,G),W=o?rc(o,q,T,G):void 0;E=new sc(l,e,c,u,f,i,m,v,!1,q),I=4*Y.length;var X=t.iconSizeData,Z=null;\"source\"===X.kind?(Z=[128*s.layout.get(\"icon-size\").evaluate(b,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'):\"composite\"===X.kind&&((Z=[128*w.compositeIconSizes[0].evaluate(b,{},k),128*w.compositeIconSizes[1].evaluate(b,{},k)])[0]>32640||Z[1]>32640)&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Y,Z,x,y,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,W&&(O=4*W.length,t.addSymbols(t.icon,W,Z,x,y,b,Cl.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=ya(K.text);var Q=s.layout.get(\"text-rotate\").evaluate(b,{},k);S=new sc(l,e,c,u,f,K,h,p,d,Q)}var $=1===K.positionedLines.length;if(z+=mc(t,e,K,a,s,d,b,g,P,n.vertical?Cl.horizontal:Cl.horizontalOnly,$?Object.keys(n.horizontal):[J],B,R,w,k),$)break}n.vertical&&(D+=mc(t,e,n.vertical,a,s,d,b,g,P,Cl.vertical,[\"vertical\"],B,F,w,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ct=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ct(S,lt),lt=ct(L,lt),lt=ct(E,lt);var ut=(lt=ct(C,lt))>-1?1:0;ut&&(lt*=A/24);t.glyphOffsetArray.length>=Mc.MAX_GLYPHS&&_(\"Too many glyphs being rendered in a tile. 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L=t.mapObject(m.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,I.call(l))})):h={};var C=Object.keys(m.iconDependencies);C.length?a.send(\"getImages\",{icons:C,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){f||(f=t,p=e,I.call(l))})):p={};var P=Object.keys(m.patternDependencies);function I(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in g){var l=g[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof 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r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new 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r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);fthis._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;vMath.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;vo*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var I=1;I0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;mt},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-yl&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(sMath.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)e.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\" \"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.ythis._map.transform.height-u?[\"bottom\"]:[],a.xthis._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since 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Xr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Be(e.expression)};Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var Zr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Be(e.expression),this.interpolationType=n};function Jr(t,e){if(\"error\"===(t=Wr(t,e)).result)return t;var r=t.value.expression,n=Fe(r);if(!n&&!zr(e))return Or([new Dt(\"\",\"data expressions not supported\")]);var i=Ne(r,[\"zoom\"]);if(!i&&!Dr(e))return Or([new Dt(\"\",\"zoom expressions not supported\")]);var a=function t(e){var r=null;if(e instanceof cr)r=t(e.result);else if(e instanceof lr)for(var n=0,i=e.args;nn.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var 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ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,m,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,g=Math.max(G,g),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var zl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},Dl={};function Rl(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function Fl(t,e,r,n){var i=Math.pow(t-e,2);return n?t=0,f=0,h=0;h-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;sn;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=f.dist(h)}return!0}function Jl(t){for(var e=0,r=0;rc){var d=(c-l)/p,g=qe(f.x,h.x,d),m=qe(f.y,h.y,d),v=new ql(g,m,h.angleTo(f),u);return v._round(),!o||Zl(t,v,s,o,e)?v:void 0}l+=p}}function tc(t,e,r,n,i,a,o,s,l){var c=Kl(n,a,o),u=Ql(n,i),f=u*o,h=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-f=0&&_=0&&w=0&&p+u<=f){var T=new ql(_,w,x,g);T._round(),i&&!Zl(e,T,o,i,a)||d.push(T)}}h+=y}l||d.length||s||(d=t(e,h/2,n,i,a,o,s,!0,c));return d}(t,h?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,f,h,!1,l)}function ec(t,e,r,n,a){for(var o=[],s=0;s=n&&h.x>=n||(f.x>=n?f=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round():h.x>=n&&(h=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round()),f.y>=a&&h.y>=a||(f.y>=a?f=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round():h.y>=a&&(h=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round()),c&&f.equals(c[c.length-1])||(c=[f],o.push(c)),c.push(h)))))}return o}function rc(t,e,r,n){var a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},g=h.reduce(d,0),m=p.reduce(d,0),v=l-g,y=c-m,x=0,b=g,_=0,w=m,T=0,k=v,A=0,M=y;if(o.content&&n){var S=o.content;x=nc(h,0,S[0]),_=nc(p,0,S[1]),b=nc(h,S[0],S[2]),w=nc(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,a,l,c){var h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,g),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-A,M,a.stretch,m),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,g),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-A,M,c.stretch,m),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,H=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,g),C=ic(p,y,m),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var g=o.top*s-l,m=o.bottom*s+l,v=o.left*s-l,y=o.right*s+l,x=o.collisionPadding;if(x&&(v-=x[0]*s,g-=x[1]*s,y+=x[2]*s,m+=x[3]*s),u){var b=new i(v,g),_=new i(y,g),w=new i(v,m),T=new i(y,m),k=u*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),v=Math.min(b.x,_.x,w.x,T.x),y=Math.max(b.x,_.x,w.x,T.x),g=Math.min(b.y,_.y,w.y,T.y),m=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,v,g,y,m,r,n,a)}this.boxEndIndex=t.length},lc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=cc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return te?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;co)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,g=new lc([],fc);if(0===p)return new i(n,a);for(var m=n;my.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new hc(b.p.x-d,b.p.y-d,d,t)),g.push(new hc(b.p.x+d,b.p.y-d,d,t)),g.push(new hc(b.p.x-d,b.p.y+d,d,t)),g.push(new hc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: \"+x),console.log(\"best distance: \"+y.d)),y.p}function fc(t,e){return e.max-t.max}function hc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;it.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ro(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}lc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},lc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},lc.prototype.peek=function(){return this.data[0]},lc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},lc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=f;x=0;o--)if(n.dist(a[o])0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),g=0,m=t;g=0;for(var O=0,z=k.sections;O=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;gn)i=!1;else if(e)if(this.expirationTimeot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new fo(9);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new fo(4);return fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Wr,t.createLayout=Ii,t.createStyleLayer=function(t){return\"custom\"===t.type?new Dc(t):new Rc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new pi(h),o),c[\"text-size\"].possiblyEvaluate(new pi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,g=d.minZoom,m=d.maxZoom;u.compositeIconSizes=[c[\"icon-size\"].possiblyEvaluate(new pi(g),o),c[\"icon-size\"].possiblyEvaluate(new pi(m),o)]}u.layoutTextSize=c[\"text-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.layoutIconSize=c[\"icon-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.textMaxSize=c[\"text-size\"].possiblyEvaluate(new pi(18));for(var v=24*l.get(\"text-line-height\"),y=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),b=l.get(\"text-size\"),w=function(){var a=k[T],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),c=b.evaluate(a,{},o),f=u.layoutTextSize.evaluate(a,{},o),h=u.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,g=[0,0];if(d){var m=d.toString(),w=24*l.get(\"text-letter-spacing\").evaluate(a,{},o),A=function(t){for(var e=0,r=t;e=8192||f.y<0||f.y>=8192||function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,w,T,k,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),I=0,O=0,z=0,D=0,R=-1,F=-1,B={},N=ya(\"\"),j=0,U=0;void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(M=s.layout.get(\"text-offset\").evaluate(b,{},k).map((function(t){return 24*t})),j=M[0],U=M[1]):(j=24*s.layout.get(\"text-radial-offset\").evaluate(b,{},k),U=pc);if(t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(b,{},k)+90,H=n.vertical;L=new sc(l,e,c,u,f,H,h,p,d,V),o&&(C=new sc(l,e,c,u,f,o,m,v,d,V))}if(i){var q=s.layout.get(\"icon-rotate\").evaluate(b,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Y=rc(i,q,T,G),W=o?rc(o,q,T,G):void 0;E=new sc(l,e,c,u,f,i,m,v,!1,q),I=4*Y.length;var X=t.iconSizeData,Z=null;\"source\"===X.kind?(Z=[128*s.layout.get(\"icon-size\").evaluate(b,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'):\"composite\"===X.kind&&((Z=[128*w.compositeIconSizes[0].evaluate(b,{},k),128*w.compositeIconSizes[1].evaluate(b,{},k)])[0]>32640||Z[1]>32640)&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Y,Z,x,y,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,W&&(O=4*W.length,t.addSymbols(t.icon,W,Z,x,y,b,Cl.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=ya(K.text);var Q=s.layout.get(\"text-rotate\").evaluate(b,{},k);S=new sc(l,e,c,u,f,K,h,p,d,Q)}var $=1===K.positionedLines.length;if(z+=mc(t,e,K,a,s,d,b,g,P,n.vertical?Cl.horizontal:Cl.horizontalOnly,$?Object.keys(n.horizontal):[J],B,R,w,k),$)break}n.vertical&&(D+=mc(t,e,n.vertical,a,s,d,b,g,P,Cl.vertical,[\"vertical\"],B,F,w,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ct=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ct(S,lt),lt=ct(L,lt),lt=ct(E,lt);var ut=(lt=ct(C,lt))>-1?1:0;ut&&(lt*=A/24);t.glyphOffsetArray.length>=Mc.MAX_GLYPHS&&_(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\");void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey);t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,c,z,D,I,O,ut,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,v,w,A,l,x,T,M,d,e,a,c,u,o)};if(\"line\"===S)for(var P=0,I=ec(e.geometry,0,0,8192,8192);P1){var V=$l(U,k,r.vertical||g,n,24,y);V&&C(U,V)}}else if(\"Polygon\"===e.type)for(var H=0,q=hs(e.geometry,0);H=E.maxzoom))if(\"none\"!==E.visibility)o(S,this.zoom,n),(g[E.id]=E.createBucket({index:u.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,m,this.tileID.canonical),u.bucketLayerIDs.push(S.map((function(t){return t.id})))}}}var L=t.mapObject(m.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,I.call(l))})):h={};var C=Object.keys(m.iconDependencies);C.length?a.send(\"getImages\",{icons:C,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){f||(f=t,p=e,I.call(l))})):p={};var P=Object.keys(m.patternDependencies);function I(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in g){var l=g[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(m,this.tileID.canonical,r.patternPositions))}this.status=\"done\",s(null,{buckets:t.values(g).filter((function(t){return!t.isEmpty()})),featureIndex:u,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send(\"getImages\",{icons:P,source:this.source,tileID:this.tileID,type:\"patterns\"},(function(t,e){f||(f=t,d=e,I.call(l))})):d={},I.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status=\"done\",n.loaded[i]=s,r(e);var l=a.rawData,c={};a.expires&&(c.expires=a.expires),a.cacheControl&&(c.cacheControl=a.cacheControl);var u={};if(o){var f=o.finish();f&&(u.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,c,u))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};\"parsing\"===o.status?o.reloadCallback=s:\"done\"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},u.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,g=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,\"id\"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};g.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;!function t(e,r,n,i,a,o){for(;a>i;){if(a-i>600){var s=a-i+1,l=n-i+1,c=Math.log(s),u=.5*Math.exp(2*c/3),f=.5*Math.sqrt(c*u*(s-u)/s)*(l-s/2<0?-1:1),h=Math.max(i,Math.floor(n-l*u/s+f)),p=Math.min(a,Math.floor(n+(s-l)*u/s+f));t(e,r,n,h,p,o)}var d=r[2*n+o],g=i,m=a;for(z(e,r,i,n),r[2*a+o]>d&&z(e,r,i,a);gd;)m--}r[2*i+o]===d?z(e,r,i,m):(m++,z(e,r,m,a)),m<=n&&(i=m+1),n<=m&&(a=m-1)}}(t,e,o,n,i,a%2),O(t,e,r,n,o-1,a+1),O(t,e,r,o+1,i,a+1)}}function z(t,e,r,n){D(t,r,n),D(e,2*r,2*n),D(e,2*r+1,2*n+1)}function D(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function R(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var F=function(t){return t[0]},B=function(t){return t[1]},N=function(t,e,r,n,i){void 0===e&&(e=F),void 0===r&&(r=B),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&u.push(t[d]);else{var g=Math.floor((p+h)/2);s=e[2*g],l=e[2*g+1],s>=r&&s<=i&&l>=n&&l<=a&&u.push(t[g]);var m=(f+1)%2;(0===f?r<=s:n<=l)&&(c.push(p),c.push(g-1),c.push(m)),(0===f?i>=s:a>=l)&&(c.push(g+1),c.push(h),c.push(m))}}return u}(this.ids,this.coords,t,e,r,n,this.nodeSize)},N.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var c=o.pop(),u=o.pop(),f=o.pop();if(u-f<=a)for(var h=f;h<=u;h++)R(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+u)/2),d=e[2*p],g=e[2*p+1];R(d,g,r,n)<=l&&s.push(t[p]);var m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(f),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return X(X({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function W(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function X(t,e){for(var r in e)t[r]=e[r];return t}function Z(t){return t.x}function J(t){return t.y}function K(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function Q(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if(\"Point\"===r||\"MultiPoint\"===r||\"LineString\"===r)$(t,e);else if(\"Polygon\"===r||\"MultiLineString\"===r)for(var n=0;n0&&(o+=n?(i*c-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(c-a,2))),i=l,a=c}var u=e.length-3;e[2]=1,function t(e,r,n,i){for(var a,o=i,s=n-r>>1,l=n-r,c=e[r],u=e[r+1],f=e[n],h=e[n+1],p=r+3;po)a=p,o=d;else if(d===o){var g=Math.abs(p-s);gi&&(a-r>3&&t(e,r,a,i),e[a+2]=o,n-a>3&&t(e,a,n,i))}(e,0,u,r),e[u+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function nt(t,e,r,n){for(var i=0;i1?1:r}function ot(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],c=0;c=r&&d=n)){var g=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,g,r,n,i);else if(\"LineString\"===h)lt(f,g,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,g,r,n,i,!1);else if(\"Polygon\"===h)ut(f,g,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var m=0;m=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var s,l,c=ct(t),u=0===i?ht:pt,f=t.start,h=0;hr&&(l=u(c,p,d,m,v,r),o&&(c.start=f+s*l)):y>n?x=r&&(l=u(c,p,d,m,v,r),b=!0),x>n&&y<=n&&(l=u(c,p,d,m,v,n),b=!0),!a&&b&&(o&&(c.end=f+s*l),e.push(c),c=ct(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],g=t[_+2],(y=0===i?p:d)>=r&&y<=n&&ft(c,p,d,g),_=c.length-3,a&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&ft(c,c[0],c[1],c[2]),c.length&&e.push(c)}function ct(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ut(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function xt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u1?this._map(c,!0):null,m=(l<<5)+(e+1)+this.points.length,v=0,y=f;v>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requesters=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requesters;e=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);fthis._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;vMath.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;vo*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var I=1;I0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;mt},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-yl&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(sMath.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)e.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\" \"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.ythis._map.transform.height-u?[\"bottom\"]:[],a.xthis._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",g),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",g),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<=0)return 1<=-t},pointBetween:function(e,r,n){var i=e[1]-r[1],a=n[0]-r[0],o=e[0]-r[0],s=n[1]-r[1],l=o*a+i*s;return!(l-t)},pointsSameX:function(e,r){return Math.abs(e[0]-r[0])t!=o-i>t&&(a-c)*(i-u)/(o-u)+c-n>t&&(s=!s),a=c,o=u}return s}};return e}},{}],257:[function(t,e,r){var n={toPolygon:function(t,e){function r(e){if(e.length<=0)return t.segments({inverted:!1,regions:[]});function r(e){var r=e.slice(0,e.length-1);return t.segments({inverted:!1,regions:[r]})}for(var n=r(e[0]),i=1;i0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(h)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(h,d);if(t)return t}return!!g&&u(h,g)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=g?g.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=g?h.primary===g.primary?g.seg.otherFill.above:g.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!g&&g.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;othis.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],g=h,m=0;m0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;ce.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n1&&(h.variants=f.variants),f.orientation&&(h.orientation=f.orientation),f.exif_location&&f.exif_location.offset+f.exif_location.length<=t.length){var p=a(t,f.exif_location.offset),d=t.slice(f.exif_location.offset+p+4,f.exif_location.offset+f.exif_location.length),g=s.get_orientation(d);g>0&&(h.orientation=g)}return h}}}}}}},{\"../common\":262,\"../exif_utils\":263,\"../miaf_utils\":264}],266:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=n(\"BM\");e.exports=function(t){if(!(t.length<26)&&i(t,0,o))return{width:a(t,18),height:a(t,22),type:\"bmp\",mime:\"image/bmp\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],267:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=n(\"GIF87a\"),s=n(\"GIF89a\");e.exports=function(t){if(!(t.length<10)&&(i(t,0,o)||i(t,0,s)))return{width:a(t,6),height:a(t,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],268:[function(t,e,r){\"use strict\";var n=t(\"../common\").readUInt16LE;e.exports=function(t){var e=n(t,0),r=n(t,2),i=n(t,4);if(0===e&&1===r&&i){for(var a=[],o={width:0,height:0},s=0;so.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}},{\"../common\":262}],269:[function(t,e,r){\"use strict\";var n=t(\"../common\").readUInt16BE,i=t(\"../common\").str2arr,a=t(\"../common\").sliceEq,o=t(\"../exif_utils\"),s=i(\"Exif\\0\\0\");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1]&&255===t[2])for(var e=2;;){for(;;){if(t.length-e<2)return;if(255===t[e++])break}for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e0&&(c.orientation=i),c}e+=r}}},{\"../common\":262,\"../exif_utils\":263}],270:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"\\x89PNG\\r\\n\\x1a\\n\"),s=n(\"IHDR\");e.exports=function(t){if(!(t.length<24)&&i(t,0,o)&&i(t,12,s))return{width:a(t,16),height:a(t,20),type:\"png\",mime:\"image/png\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],271:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"8BPS\\0\\x01\");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:\"psd\",mime:\"image/vnd.adobe.photoshop\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],272:[function(t,e,r){\"use strict\";function n(t){return\"number\"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\\s/,o=/[^-]\\bwidth=\"([^%]+?)\"|[^-]\\bwidth='([^%]+?)'/,s=/\\bheight=\"([^%]+?)\"|\\bheight='([^%]+?)'/,l=/\\bview[bB]ox=\"(.+?)\"|\\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:\"px\"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r>14&16383),type:\"webp\",mime:\"image/webp\",wUnits:\"px\",hUnits:\"px\"}}}function h(t,e){return{width:1+(t[e+6]<<16|t[e+5]<<8|t[e+4]),height:1+(t[e+9]<t.length)){for(;e+8=10?r=r||u(t,e+8):\"VP8L\"===p&&d>=9?r=r||f(t,e+8):\"VP8X\"===p&&d>=10?r=r||h(t,e+8):\"EXIF\"===p&&(n=s.get_orientation(t.slice(e+8,e+8+d)),e=1/0),e+=8+d}else e++;if(r)return n>0&&(r.orientation=n),r}}}},{\"../common\":262,\"../exif_utils\":263}],275:[function(t,e,r){\"use strict\";e.exports={avif:t(\"./parse_sync/avif\"),bmp:t(\"./parse_sync/bmp\"),gif:t(\"./parse_sync/gif\"),ico:t(\"./parse_sync/ico\"),jpeg:t(\"./parse_sync/jpeg\"),png:t(\"./parse_sync/png\"),psd:t(\"./parse_sync/psd\"),svg:t(\"./parse_sync/svg\"),tiff:t(\"./parse_sync/tiff\"),webp:t(\"./parse_sync/webp\")}},{\"./parse_sync/avif\":265,\"./parse_sync/bmp\":266,\"./parse_sync/gif\":267,\"./parse_sync/ico\":268,\"./parse_sync/jpeg\":269,\"./parse_sync/png\":270,\"./parse_sync/psd\":271,\"./parse_sync/svg\":272,\"./parse_sync/tiff\":273,\"./parse_sync/webp\":274}],276:[function(t,e,r){\"use strict\";var n=t(\"./lib/parsers_sync\");e.exports=function(t){return function(t){for(var e=Object.keys(n),r=0;r1)for(var r=1;r1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,c){var u=x[c];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),u||(x[c]=u={id:c,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},y,t)),a(u,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n + positionFract * scale + translateFract\\n + position * scaleFract\\n + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=tthis.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":346,\"object-assign\":247}],337:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":346,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),f=t-this.toJD(l,u,1)+1;return this.newDate(l,u,f)}}),n.calendars.persian=a,n.calendars.jalali=a},{\"../main\":346,\"object-assign\":247}],343:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;oe-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||\"y\"!==n&&\"m\"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var 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n=t(\"../../plots/font_attributes\"),i=t(\"./layout_attributes\").hoverlabel,a=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0}),bordercolor:a({},i.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":493,\"../../plots/font_attributes\":585,\"./layout_attributes\":407}],398:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\");function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&&(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s=0&&r.index_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V=\"xval\"in e?v.flat(l,e.xval):v.p2c(_,at),H=\"yval\"in 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Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;oe.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;Ni.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m=0?at:ot+ct=0?ot:vt+ct=0?nt:it+ut=0?it:yt+ut=0,\"top\"!==t.idealAlign&&G||!Y?G?(z+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(z-=j/2,t.anchor=\"end\");else if(t.pos=z,G=P+N/2+W<=R,Y=P-N/2-W>=0,\"left\"!==t.idealAlign&&G||!Y)if(G)P+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var X=W/2,Z=P+X-R,J=P-X;Z>0&&(P-=Z),J<0&&(P+=-J)}else P-=N/2,t.anchor=\"end\";w.attr(\"text-anchor\",t.anchor),E&&A.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",s(P,z)+(c?l(_):\"\"))})),xt}function O(t,e,r,n,i,a){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=B(t.name,t.nameLength));var c=r.charAt(0),u=\"x\"===c?\"y\":\"x\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"
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n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||u){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,v,y=e.hLinePoint;n=y&&y.xa,\"cursor\"===(i=y&&y.ya).spikesnap?(m=c.pointerX,v=c.pointerY):(m=n._offset+y.x,v=i._offset+y.y);var x,b,_=a.readability(y.color,d)<1.5?p.contrast(d):y.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=m),-1!==w.indexOf(\"across\")){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s0&&P<0&&(P+=360);var I,O,z,D=(C+P)/2;if(!p){var R=d?f.projRotate:[D,0,0];I=r(\"projection.rotation.lon\",R[0]),r(\"projection.rotation.lat\",R[1]),r(\"projection.rotation.roll\",R[2]),r(\"showcoastlines\",!d&&x)&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),r(\"showocean\",!!x&&void 0)&&r(\"oceancolor\")}(p?(O=-96.6,z=38.7):(O=d?D:I,z=(L[0]+L[1])/2),r(\"center.lon\",O),r(\"center.lat\",z),g&&(r(\"projection.tilt\"),r(\"projection.distance\")),m)&&r(\"projection.parallels\",f.projParallels||[0,60]);r(\"projection.scale\"),r(\"showland\",!!x&&void 0)&&r(\"landcolor\"),r(\"showlakes\",!!x&&void 0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==u&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===u||\"north 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e=0,r=arguments.length,i=[];for(;++ed?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var g=180-a-2*p,m=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,m)<=b(r[0],r[1],g,v)?[a,m,r[2]]:[g,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;nMath.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n).999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var 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f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;ar.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"
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D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1120,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;aOpenStreetMap contributors',a=['\\xa9 Carto',i].join(\" \"),o=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under CC BY SA'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install mapbox-gl@1.10.1.\"].join(\"\\n\"),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\" Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",l.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(\"\\n\"),multipleTokensErrorMsg:[\"Set multiple mapbox access token across different mapbox subplot,\",\"using first token found as mapbox-gl does not allow multipleaccess tokens on the same page.\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",mapboxLogo:{path0:\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z\",path1:\"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=i.strTranslate,o=i.strScale,s=t(\"../../plots/get_data\").getSubplotCalcData,l=t(\"../../constants/xmlns_namespaces\"),c=t(\"@plotly/d3\"),u=t(\"../../components/drawing\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./mapbox\"),p=r.constants=t(\"./constants\");function d(t){return\"string\"==typeof t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l1&&i.warn(p.multipleTokensErrorMsg),n[0]):(a.length&&i.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}(t,a);n.accessToken=o;for(var l=0;l_/2){var w=v.split(\"|\").join(\"
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i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,g=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=m.makeDragger(f,\"path\",\"maindrag\",\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,g)),o=a-D,l=a+D;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function $(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=K(t,e),o=K(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=O(D,u,l,c);n=O(R,f,h[0][0],h[0][1]),i=O(R,f,h[1][0],h[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,g),x),tp?(t-1&&1===t&&_(e,u,[s.xaxis],[s.yaxis],s.id,W),r.indexOf(\"event\")>-1&&y.click(u,e,s.id)}W.prepFn=function(t,n,a){var l=u._fullLayout.dragmode,f=F.getBoundingClientRect();u._fullLayout._calcInverseTransform(u);var p=u._fullLayout._invTransform;e=u._fullLayout._invScaleX,r=u._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var v=E.findPolygonOffset(g,L[0],L[1],C);B+=A+v[0],N+=M+v[1]}switch(l){case\"zoom\":W.clickFn=st,c||(W.moveFn=C?it:rt,W.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),H=!1;var t=u._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=m.makeZoombox(h,q,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Y=m.makeCorners(h,T,k),w(u)}());break;case\"select\":case\"lasso\":b(t,n,a,W,l)}},v.init(W)},N.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,g=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(g.visible){var b,_,T,M=R(i.radialAxisAngle),E=g._rl,L=E[0],C=E[1],P=E[r],I=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var O,z,D,B=m.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};V(n.select(B),g.visible&&h0==(r?D>L:Dn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&\"linear\"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o0?1:0}function i(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function a(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function o(t,e){return e*t.radius}e.exports={smith:i,reactanceArc:function(t,e,r,n){var s=a(t,i([r,e])),l=s[0],c=s[1],u=a(t,i([n,e])),f=u[0],h=u[1];if(0===e)return[\"M\"+l+\",\"+c,\"L\"+f+\",\"+h].join(\" \");var p=o(t,1/Math.abs(e));return[\"M\"+l+\",\"+c,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+f+\",\"+h].join(\" \")},resistanceArc:function(t,e,r,s){var l=o(t,1/(e+1)),c=a(t,i([e,r])),u=c[0],f=c[1],h=a(t,i([e,s])),p=h[0],d=h[1];if(n(r)!==n(s)){var g=a(t,i([e,0]));return[\"M\"+u+\",\"+f,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=u&&(h.min=0,d.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function g(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,g=e._name.charAt(0).toUpperCase(),m=\"Component 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S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;iE*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var I=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",I),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",O),p.layers.bgrid.attr(\"transform\",O);var z=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",z),p.layers.agrid.attr(\"transform\",z);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+(\"outside\"===a.ticks?a.ticklen:0)+3;n[\"a-title\"]=b.draw(e,\"a\"+r,{propContainer:i,propName:this.id+\".aaxis.title\",placeholder:l(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=b.draw(e,\"b\"+r,{propContainer:a,propName:this.id+\".baxis.title\",placeholder:l(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=b.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:l(e,\"Click to enter Component C 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;z(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&m.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),g=(l/2+u)*M.w,m=(1-l/2-c)*M.w,y=(g+m)/2,x=m-g,_=(1-l)*M.h,w=_-x/E;x.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){z(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),O=!1))}function H(t,e){var 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":907}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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i._trace=a,a.update(e),t.glplot.add(i),a}}},{\"../../../stackgl_modules\":1120,\"../../components/colorscale\":378,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../../plots/gl3d/zip3\":609}],865:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./attributes\"),o=t(\"../../components/colorscale/defaults\");function s(t,e,r,n,a){var s=a(\"isomin\"),l=a(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a(\"x\"),u=a(\"y\"),f=a(\"z\"),h=a(\"value\");c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length?(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),a(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach((function(t){a(t+\"hoverformat\");var e=\"caps.\"+t;a(e+\".show\")&&a(e+\".fill\");var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var 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t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.yf.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragXp.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),ni?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){h(r,t,n,e)}},{\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_api\":540,\"@plotly/d3\":58,\"d3-interpolate\":116,tinycolor2:312}],887:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\"./parcats\":886}],888:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*fe){h=r;break}}if(a=u,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-c[f][1]t[1]+r||e=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[a],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),h(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"../../plots/domain\":584,\"./attributes\":888,\"./axisbrush\":889,\"./constants\":892,\"./merge_length\":897}],894:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return 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hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n return (\\n fOutside(p[0], lo[0], hi[0]) ||\\n fOutside(p[1], lo[1], hi[1]) ||\\n fOutside(p[2], lo[2], hi[2]) ||\\n fOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n return (\\n vOutside(p[0], lo[0], hi[0]) ||\\n vOutside(p[1], lo[1], hi[1]) ||\\n vOutside(p[2], lo[2], hi[2]) ||\\n vOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n return mOutside(A, loA, hiA) ||\\n mOutside(B, loB, hiB) ||\\n mOutside(C, loC, hiC) ||\\n mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n mat4 pnts[4];\\n pnts[0] = A;\\n pnts[1] = B;\\n pnts[2] = C;\\n pnts[3] = D;\\n\\n for(int i = 0; i < 4; ++i) {\\n for(int j = 0; j < 4; ++j) {\\n for(int k = 0; k < 4; ++k) {\\n if(0 == iMod(\\n int(255.0 * texture2D(maskTexture,\\n vec2(\\n (float(i * 2 + j / 2) + 0.5) / 8.0,\\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n ))[3]\\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n 2\\n )) return true;\\n }\\n }\\n }\\n return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float x = 0.5 * sign(v) + 0.5;\\n float y = axisY(x, A, B, C, D);\\n float z = 1.0 - abs(v);\\n\\n z += isContext ? 0.0 : 2.0 * float(\\n outsideBoundingBox(A, B, C, D) ||\\n outsideRasterMask(A, B, C, D)\\n );\\n\\n return vec4(\\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n z,\\n 1.0\\n );\\n}\\n\\nvoid main() {\\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n float v = colors[3];\\n\\n gl_Position = position(isContext, v, A, B, C, D);\\n\\n fragColor =\\n isContext ? vec4(contextColor) :\\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;au&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&no._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function I(t,e){return 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Z=Y.selectAll(\".\"+y.cn.axisExtentBottom).data(g,d);Z.enter().append(\"g\").classed(y.cn.axisExtentBottom,!0),Z.attr(\"transform\",(function(t){return c(0,t.model.height+y.axisExtentOffset)}));var J=Z.selectAll(\".\"+y.cn.axisExtentBottomText).data(g,d);J.enter().append(\"text\").classed(y.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),J.text((function(t){return D(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(V,T)}},{\"../../components/colorscale\":378,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"./axisbrush\":889,\"./constants\":892,\"./helpers\":894,\"./lines\":896,\"@plotly/d3\":58,\"color-rgba\":91}],899:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\"),i=t(\"../../lib/prepare_regl\"),a=t(\"./helpers\").isVisible;function o(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}e.exports=function(t,e){var r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter((function(t){return!a(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":516,\"./helpers\":894,\"./parcoords\":898}],900:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;hMath.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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h={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;ry&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C=\"\";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;eb-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500,\"strongly-connected-components\":306}],919:[function(t,e,r){\"use 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n.coerce(g,m,i.node,t,e)}v(\"label\"),v(\"groups\"),v(\"x\"),v(\"y\"),v(\"pad\"),v(\"thickness\"),v(\"line.color\"),v(\"line.width\"),v(\"hoverinfo\",t.hoverinfo),l(g,m,v,d),v(\"hovertemplate\");var y=h.colorway;v(\"color\",m.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v(\"customdata\");var x=t.link||{},b=c.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function g(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function m(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(m(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(m(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":919,\"./render\":923,\"@plotly/d3\":58}],923:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,g=t(\"../../lib/gup\"),m=g.keyFun,v=g.repeat,y=g.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" 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a=e.layers.frontplot.select(\"g.scatterlayer\"),o={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},s=e.radialAxis,l=e.angularAxis,c=0;c=c&&(y.marker.cluster=d.tree),y.marker&&(y.markerSel.positions=y.markerUnsel.positions=y.marker.positions=_),y.line&&_.length>1&&l.extendFlat(y.line,s.linePositions(t,p,_)),y.text&&(l.extendFlat(y.text,{positions:_},s.textPosition(t,p,y.text,y.marker)),l.extendFlat(y.textSel,{positions:_},s.textPosition(t,p,y.text,y.markerSel)),l.extendFlat(y.textUnsel,{positions:_},s.textPosition(t,p,y.text,y.markerUnsel))),y.fill&&!h.fill2d&&(h.fill2d=!0),y.marker&&!h.scatter2d&&(h.scatter2d=!0),y.line&&!h.line2d&&(h.line2d=!0),y.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(y.line),h.fillOptions.push(y.fill),h.markerOptions.push(y.marker),h.markerSelectedOptions.push(y.markerSel),h.markerUnselectedOptions.push(y.markerUnsel),h.textOptions.push(y.text),h.textSelectedOptions.push(y.textSel),h.textUnselectedOptions.push(y.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=m,d.theta=v,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}}},{\"../../lib\":503,\"../scattergl/constants\":980,\"../scattergl/convert\":981,\"../scattergl/plot\":988,\"../scattergl/scene_update\":989,\"@plotly/point-cluster\":59,\"fast-isnumeric\":190}],1014:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../lib/extend\").extendFlat,o=t(\"../scatter/attributes\"),s=t(\"../../plots/attributes\"),l=o.line;e.exports={mode:o.mode,real:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},imag:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},text:o.text,texttemplate:i({editType:\"plot\"},{keys:[\"real\",\"imag\",\"text\"]}),hovertext:o.hovertext,line:{color:l.color,width:l.width,dash:l.dash,shape:a({},l.shape,{values:[\"linear\",\"spline\"]}),smoothing:l.smoothing,editType:\"calc\"},connectgaps:o.connectgaps,marker:o.marker,cliponaxis:a({},o.cliponaxis,{dflt:!1}),textposition:o.textposition,textfont:o.textfont,fill:a({},o.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:o.fillcolor,hoverinfo:a({},s.hoverinfo,{flags:[\"real\",\"imag\",\"text\",\"name\"]}),hoveron:o.hoveron,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":926}],1015:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\"),s=t(\"../scatter/calc_selection\"),l=t(\"../scatter/calc\").calcMarkerSize;e.exports=function(t,e){for(var r=t._fullLayout,c=e.subplot,u=r[c].realaxis,f=r[c].imaginaryaxis,h=u.makeCalcdata(e,\"real\"),p=f.makeCalcdata(e,\"imag\"),d=e._length,g=new Array(d),m=0;m\")}}e.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{\"../scatter/hover\":937}],1019:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"scattersmith\",basePlotModule:t(\"../../plots/smith\"),categories:[\"smith\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"../scatter/select\"),meta:{}}},{\"../../plots/smith\":629,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1014,\"./calc\":1015,\"./defaults\":1016,\"./format_labels\":1017,\"./hover\":1018,\"./plot\":1020}],1020:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../../plots/smith/helpers\").smith;e.exports=function(t,e,r){for(var o=e.layers.frontplot.select(\"g.scatterlayer\"),s={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},l=0;l\"),o.hovertemplate=h.hovertemplate,a}function x(t,e){v.push(t._hovertitle+\": \"+e)}}},{\"../scatter/hover\":937}],1027:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scatterternary\",basePlotModule:t(\"../../plots/ternary\"),categories:[\"ternary\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/ternary\":634,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1021,\"./calc\":1022,\"./defaults\":1023,\"./event_data\":1024,\"./format_labels\":1025,\"./hover\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\");e.exports=function(t,e,r){var i=e.plotContainer;i.select(\".scatterlayer\").selectAll(\"*\").remove();var a={xaxis:e.xaxis,yaxis:e.yaxis,plot:i,layerClipId:e._hasClipOnAxisFalse?e.clipIdRelative:null},o=e.layers.frontplot.select(\"g.scatterlayer\");n(t,a,r,o)}},{\"../scatter/plot\":947}],1029:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../scattergl/attributes\"),l=t(\"../../plots/cartesian/constants\").idRegex,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"../../lib/extend\").extendFlat,f=n.marker,h=f.line,p=u(i(\"marker.line\",{editTypeOverride:\"calc\"}),{width:u({},h.width,{editType:\"calc\"}),editType:\"calc\"}),d=u(i(\"marker\"),{symbol:f.symbol,size:u({},f.size,{editType:\"markerSize\"}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:f.opacity,colorbar:f.colorbar,line:p,editType:\"calc\"});function 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h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var 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g(t,e){if(t0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a_;)r--,r/=v(r),++r1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];ea&&(this.minValues[e]=a),this.maxValues[e]\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\"cubic-out\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\"cubic-out\",uplift:5,wrapSpacer:\" \",wrapSplitCharacter:\" 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e=0,r=0;r=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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f,h,p=u?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",g=u?null:T(t.calcdata.cells.format,e,r)||null,m=p+(g?a(g)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(f=w(m)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===f?w(m):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(\" \"===n.wrapSplitCharacter?m.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return u(0,e)})),t&&(C(t,r,e,c,n.prevPages,n,0),C(t,r,e,c,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===u}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value=\"\";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=!0})),o.selectAll(\"tspan.line\").remove(),_(o.select(\".\"+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(z)}}function I(t,e,r,a,o){return function(){if(!o.settledY){var 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translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * 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startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n + positionFract * scale + translateFract\\n + position * scaleFract\\n + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var 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t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leap year:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Some\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leap year:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leap year(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leap year(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Some\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leap year:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leap year(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),f=t-this.toJD(l,u,1)+1;return this.newDate(l,u,f)}}),n.calendars.persian=a,n.calendars.jalali=a},{\"../main\":346,\"object-assign\":247}],343:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leap year:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leap year(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leap year(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leap year(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leap year(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leap year:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;ar)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;ne);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leap year:function(){return this._calendar.leap year(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leap year(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;oe-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||\"y\"!==n&&\"m\"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var 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n=t(\"../../plots/font_attributes\"),i=t(\"./layout_attributes\").hoverlabel,a=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0}),bordercolor:a({},i.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":493,\"../../plots/font_attributes\":585,\"./layout_attributes\":407}],398:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\");function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&&(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s=0&&r.index_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V=\"xval\"in e?v.flat(l,e.xval):v.p2c(_,at),H=\"yval\"in 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Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;oe.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;Ni.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m=0?at:ot+ct=0?ot:vt+ct=0?nt:it+ut=0?it:yt+ut=0,\"top\"!==t.idealAlign&&G||!Y?G?(z+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(z-=j/2,t.anchor=\"end\");else if(t.pos=z,G=P+N/2+W<=R,Y=P-N/2-W>=0,\"left\"!==t.idealAlign&&G||!Y)if(G)P+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var X=W/2,Z=P+X-R,J=P-X;Z>0&&(P-=Z),J<0&&(P+=-J)}else P-=N/2,t.anchor=\"end\";w.attr(\"text-anchor\",t.anchor),E&&A.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",s(P,z)+(c?l(_):\"\"))})),xt}function O(t,e,r,n,i,a){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=B(t.name,t.nameLength));var c=r.charAt(0),u=\"x\"===c?\"y\":\"x\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"
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n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||u){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,v,y=e.hLinePoint;n=y&&y.xa,\"cursor\"===(i=y&&y.ya).spikesnap?(m=c.pointerX,v=c.pointerY):(m=n._offset+y.x,v=i._offset+y.y);var x,b,_=a.readability(y.color,d)<1.5?p.contrast(d):y.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=m),-1!==w.indexOf(\"across\")){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s0&&P<0&&(P+=360);var I,O,z,D=(C+P)/2;if(!p){var R=d?f.projRotate:[D,0,0];I=r(\"projection.rotation.lon\",R[0]),r(\"projection.rotation.lat\",R[1]),r(\"projection.rotation.roll\",R[2]),r(\"showcoastlines\",!d&&x)&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),r(\"showocean\",!!x&&void 0)&&r(\"oceancolor\")}(p?(O=-96.6,z=38.7):(O=d?D:I,z=(L[0]+L[1])/2),r(\"center.lon\",O),r(\"center.lat\",z),g&&(r(\"projection.tilt\"),r(\"projection.distance\")),m)&&r(\"projection.parallels\",f.projParallels||[0,60]);r(\"projection.scale\"),r(\"showland\",!!x&&void 0)&&r(\"landcolor\"),r(\"showlakes\",!!x&&void 0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==u&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===u||\"north 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e=0,r=arguments.length,i=[];for(;++ed?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var g=180-a-2*p,m=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,m)<=b(r[0],r[1],g,v)?[a,m,r[2]]:[g,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;nMath.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n).999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var 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f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;ar.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"
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D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1120,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;aOpenStreetMap contributors',a=['\\xa9 Carto',i].join(\" \"),o=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under CC BY SA'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install mapbox-gl@1.10.1.\"].join(\"\\n\"),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\" Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",l.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(\"\\n\"),multipleTokensErrorMsg:[\"Set multiple mapbox access token across different mapbox subplot,\",\"using first token found as mapbox-gl does not allow multipleaccess tokens on the same page.\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",mapboxLogo:{path0:\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z\",path1:\"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=i.strTranslate,o=i.strScale,s=t(\"../../plots/get_data\").getSubplotCalcData,l=t(\"../../constants/xmlns_namespaces\"),c=t(\"@plotly/d3\"),u=t(\"../../components/drawing\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./mapbox\"),p=r.constants=t(\"./constants\");function d(t){return\"string\"==typeof t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l1&&i.warn(p.multipleTokensErrorMsg),n[0]):(a.length&&i.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}(t,a);n.accessToken=o;for(var l=0;l_/2){var w=v.split(\"|\").join(\"
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i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,g=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=m.makeDragger(f,\"path\",\"maindrag\",\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,g)),o=a-D,l=a+D;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function $(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=K(t,e),o=K(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=O(D,u,l,c);n=O(R,f,h[0][0],h[0][1]),i=O(R,f,h[1][0],h[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,g),x),tp?(t-1&&1===t&&_(e,u,[s.xaxis],[s.yaxis],s.id,W),r.indexOf(\"event\")>-1&&y.click(u,e,s.id)}W.prepFn=function(t,n,a){var l=u._fullLayout.dragmode,f=F.getBoundingClientRect();u._fullLayout._calcInverseTransform(u);var p=u._fullLayout._invTransform;e=u._fullLayout._invScaleX,r=u._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var v=E.findPolygonOffset(g,L[0],L[1],C);B+=A+v[0],N+=M+v[1]}switch(l){case\"zoom\":W.clickFn=st,c||(W.moveFn=C?it:rt,W.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),H=!1;var t=u._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=m.makeZoombox(h,q,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Y=m.makeCorners(h,T,k),w(u)}());break;case\"select\":case\"lasso\":b(t,n,a,W,l)}},v.init(W)},N.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,g=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(g.visible){var b,_,T,M=R(i.radialAxisAngle),E=g._rl,L=E[0],C=E[1],P=E[r],I=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var O,z,D,B=m.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};V(n.select(B),g.visible&&h0==(r?D>L:Dn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&\"linear\"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o0?1:0}function i(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function a(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function o(t,e){return e*t.radius}e.exports={smith:i,reactanceArc:function(t,e,r,n){var s=a(t,i([r,e])),l=s[0],c=s[1],u=a(t,i([n,e])),f=u[0],h=u[1];if(0===e)return[\"M\"+l+\",\"+c,\"L\"+f+\",\"+h].join(\" \");var p=o(t,1/Math.abs(e));return[\"M\"+l+\",\"+c,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+f+\",\"+h].join(\" \")},resistanceArc:function(t,e,r,s){var l=o(t,1/(e+1)),c=a(t,i([e,r])),u=c[0],f=c[1],h=a(t,i([e,s])),p=h[0],d=h[1];if(n(r)!==n(s)){var g=a(t,i([e,0]));return[\"M\"+u+\",\"+f,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=u&&(h.min=0,d.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function g(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,g=e._name.charAt(0).toUpperCase(),m=\"Component 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S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;iE*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var I=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",I),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",O),p.layers.bgrid.attr(\"transform\",O);var z=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",z),p.layers.agrid.attr(\"transform\",z);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+(\"outside\"===a.ticks?a.ticklen:0)+3;n[\"a-title\"]=b.draw(e,\"a\"+r,{propContainer:i,propName:this.id+\".aaxis.title\",placeholder:l(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=b.draw(e,\"b\"+r,{propContainer:a,propName:this.id+\".baxis.title\",placeholder:l(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=b.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:l(e,\"Click to enter Component C 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;z(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&m.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),g=(l/2+u)*M.w,m=(1-l/2-c)*M.w,y=(g+m)/2,x=m-g,_=(1-l)*M.h,w=_-x/E;x.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){z(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),O=!1))}function H(t,e){var 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":907}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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i._trace=a,a.update(e),t.glplot.add(i),a}}},{\"../../../stackgl_modules\":1120,\"../../components/colorscale\":378,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../../plots/gl3d/zip3\":609}],865:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./attributes\"),o=t(\"../../components/colorscale/defaults\");function s(t,e,r,n,a){var s=a(\"isomin\"),l=a(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a(\"x\"),u=a(\"y\"),f=a(\"z\"),h=a(\"value\");c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length?(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),a(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach((function(t){a(t+\"hoverformat\");var e=\"caps.\"+t;a(e+\".show\")&&a(e+\".fill\");var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var 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t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.yf.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragXp.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),ni?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){h(r,t,n,e)}},{\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_api\":540,\"@plotly/d3\":58,\"d3-interpolate\":116,tinycolor2:312}],887:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\"./parcats\":886}],888:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*fe){h=r;break}}if(a=u,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-c[f][1]t[1]+r||e=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[a],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),h(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"../../plots/domain\":584,\"./attributes\":888,\"./axisbrush\":889,\"./constants\":892,\"./merge_length\":897}],894:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return 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hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n return (\\n fOutside(p[0], lo[0], hi[0]) ||\\n fOutside(p[1], lo[1], hi[1]) ||\\n fOutside(p[2], lo[2], hi[2]) ||\\n fOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n return (\\n vOutside(p[0], lo[0], hi[0]) ||\\n vOutside(p[1], lo[1], hi[1]) ||\\n vOutside(p[2], lo[2], hi[2]) ||\\n vOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n return mOutside(A, loA, hiA) ||\\n mOutside(B, loB, hiB) ||\\n mOutside(C, loC, hiC) ||\\n mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n mat4 pnts[4];\\n pnts[0] = A;\\n pnts[1] = B;\\n pnts[2] = C;\\n pnts[3] = D;\\n\\n for(int i = 0; i < 4; ++i) {\\n for(int j = 0; j < 4; ++j) {\\n for(int k = 0; k < 4; ++k) {\\n if(0 == iMod(\\n int(255.0 * texture2D(maskTexture,\\n vec2(\\n (float(i * 2 + j / 2) + 0.5) / 8.0,\\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n ))[3]\\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n 2\\n )) return true;\\n }\\n }\\n }\\n return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float x = 0.5 * sign(v) + 0.5;\\n float y = axisY(x, A, B, C, D);\\n float z = 1.0 - abs(v);\\n\\n z += isContext ? 0.0 : 2.0 * float(\\n outsideBoundingBox(A, B, C, D) ||\\n outsideRasterMask(A, B, C, D)\\n );\\n\\n return vec4(\\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n z,\\n 1.0\\n );\\n}\\n\\nvoid main() {\\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n float v = colors[3];\\n\\n gl_Position = position(isContext, v, A, B, C, D);\\n\\n fragColor =\\n isContext ? vec4(contextColor) :\\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;au&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&no._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function I(t,e){return 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Z=Y.selectAll(\".\"+y.cn.axisExtentBottom).data(g,d);Z.enter().append(\"g\").classed(y.cn.axisExtentBottom,!0),Z.attr(\"transform\",(function(t){return c(0,t.model.height+y.axisExtentOffset)}));var J=Z.selectAll(\".\"+y.cn.axisExtentBottomText).data(g,d);J.enter().append(\"text\").classed(y.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),J.text((function(t){return D(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(V,T)}},{\"../../components/colorscale\":378,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"./axisbrush\":889,\"./constants\":892,\"./helpers\":894,\"./lines\":896,\"@plotly/d3\":58,\"color-rgba\":91}],899:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\"),i=t(\"../../lib/prepare_regl\"),a=t(\"./helpers\").isVisible;function o(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}e.exports=function(t,e){var r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter((function(t){return!a(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":516,\"./helpers\":894,\"./parcoords\":898}],900:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;hMath.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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h={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;ry&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C=\"\";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;eb-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500,\"strongly-connected-components\":306}],919:[function(t,e,r){\"use 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n.coerce(g,m,i.node,t,e)}v(\"label\"),v(\"groups\"),v(\"x\"),v(\"y\"),v(\"pad\"),v(\"thickness\"),v(\"line.color\"),v(\"line.width\"),v(\"hoverinfo\",t.hoverinfo),l(g,m,v,d),v(\"hovertemplate\");var y=h.colorway;v(\"color\",m.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v(\"customdata\");var x=t.link||{},b=c.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function g(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function m(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(m(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(m(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":919,\"./render\":923,\"@plotly/d3\":58}],923:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,g=t(\"../../lib/gup\"),m=g.keyFun,v=g.repeat,y=g.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" 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a=e.layers.frontplot.select(\"g.scatterlayer\"),o={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},s=e.radialAxis,l=e.angularAxis,c=0;c=c&&(y.marker.cluster=d.tree),y.marker&&(y.markerSel.positions=y.markerUnsel.positions=y.marker.positions=_),y.line&&_.length>1&&l.extendFlat(y.line,s.linePositions(t,p,_)),y.text&&(l.extendFlat(y.text,{positions:_},s.textPosition(t,p,y.text,y.marker)),l.extendFlat(y.textSel,{positions:_},s.textPosition(t,p,y.text,y.markerSel)),l.extendFlat(y.textUnsel,{positions:_},s.textPosition(t,p,y.text,y.markerUnsel))),y.fill&&!h.fill2d&&(h.fill2d=!0),y.marker&&!h.scatter2d&&(h.scatter2d=!0),y.line&&!h.line2d&&(h.line2d=!0),y.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(y.line),h.fillOptions.push(y.fill),h.markerOptions.push(y.marker),h.markerSelectedOptions.push(y.markerSel),h.markerUnselectedOptions.push(y.markerUnsel),h.textOptions.push(y.text),h.textSelectedOptions.push(y.textSel),h.textUnselectedOptions.push(y.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=m,d.theta=v,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}}},{\"../../lib\":503,\"../scattergl/constants\":980,\"../scattergl/convert\":981,\"../scattergl/plot\":988,\"../scattergl/scene_update\":989,\"@plotly/point-cluster\":59,\"fast-isnumeric\":190}],1014:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../lib/extend\").extendFlat,o=t(\"../scatter/attributes\"),s=t(\"../../plots/attributes\"),l=o.line;e.exports={mode:o.mode,real:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},imag:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},text:o.text,texttemplate:i({editType:\"plot\"},{keys:[\"real\",\"imag\",\"text\"]}),hovertext:o.hovertext,line:{color:l.color,width:l.width,dash:l.dash,shape:a({},l.shape,{values:[\"linear\",\"spline\"]}),smoothing:l.smoothing,editType:\"calc\"},connectgaps:o.connectgaps,marker:o.marker,cliponaxis:a({},o.cliponaxis,{dflt:!1}),textposition:o.textposition,textfont:o.textfont,fill:a({},o.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:o.fillcolor,hoverinfo:a({},s.hoverinfo,{flags:[\"real\",\"imag\",\"text\",\"name\"]}),hoveron:o.hoveron,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":926}],1015:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\"),s=t(\"../scatter/calc_selection\"),l=t(\"../scatter/calc\").calcMarkerSize;e.exports=function(t,e){for(var r=t._fullLayout,c=e.subplot,u=r[c].realaxis,f=r[c].imaginaryaxis,h=u.makeCalcdata(e,\"real\"),p=f.makeCalcdata(e,\"imag\"),d=e._length,g=new Array(d),m=0;m\")}}e.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{\"../scatter/hover\":937}],1019:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"scattersmith\",basePlotModule:t(\"../../plots/smith\"),categories:[\"smith\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"../scatter/select\"),meta:{}}},{\"../../plots/smith\":629,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1014,\"./calc\":1015,\"./defaults\":1016,\"./format_labels\":1017,\"./hover\":1018,\"./plot\":1020}],1020:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../../plots/smith/helpers\").smith;e.exports=function(t,e,r){for(var o=e.layers.frontplot.select(\"g.scatterlayer\"),s={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},l=0;l\"),o.hovertemplate=h.hovertemplate,a}function x(t,e){v.push(t._hovertitle+\": \"+e)}}},{\"../scatter/hover\":937}],1027:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scatterternary\",basePlotModule:t(\"../../plots/ternary\"),categories:[\"ternary\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/ternary\":634,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1021,\"./calc\":1022,\"./defaults\":1023,\"./event_data\":1024,\"./format_labels\":1025,\"./hover\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\");e.exports=function(t,e,r){var i=e.plotContainer;i.select(\".scatterlayer\").selectAll(\"*\").remove();var a={xaxis:e.xaxis,yaxis:e.yaxis,plot:i,layerClipId:e._hasClipOnAxisFalse?e.clipIdRelative:null},o=e.layers.frontplot.select(\"g.scatterlayer\");n(t,a,r,o)}},{\"../scatter/plot\":947}],1029:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../scattergl/attributes\"),l=t(\"../../plots/cartesian/constants\").idRegex,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"../../lib/extend\").extendFlat,f=n.marker,h=f.line,p=u(i(\"marker.line\",{editTypeOverride:\"calc\"}),{width:u({},h.width,{editType:\"calc\"}),editType:\"calc\"}),d=u(i(\"marker\"),{symbol:f.symbol,size:u({},f.size,{editType:\"markerSize\"}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:f.opacity,colorbar:f.colorbar,line:p,editType:\"calc\"});function 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h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var 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g(t,e){if(t0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a_;)r--,r/=v(r),++r1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];ea&&(this.minValues[e]=a),this.maxValues[e]\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\"cubic-out\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\"cubic-out\",uplift:5,wrapSpacer:\" \",wrapSplitCharacter:\" 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e=0,r=0;r=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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f,h,p=u?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",g=u?null:T(t.calcdata.cells.format,e,r)||null,m=p+(g?a(g)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(f=w(m)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===f?w(m):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(\" \"===n.wrapSplitCharacter?m.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return u(0,e)})),t&&(C(t,r,e,c,n.prevPages,n,0),C(t,r,e,c,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===u}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value=\"\";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=!0})),o.selectAll(\"tspan.line\").remove(),_(o.select(\".\"+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(z)}}function I(t,e,r,a,o){return function(){if(!o.settledY){var 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),g=(u/=d)*e+a*r,m=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,g,m,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),g=Math.max(h,p,d);h===g?(s=s<0?-1:1,l=f=0):d===g?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var m=c(s,l,f);s/=m,l/=m,f/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var 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t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"bit-twiddle\":32,buffer:3,dup:65}],309:[function(t,e,r){\"use strict\";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e0&&(a=n.size),n.lineSpacing&&n.lineSpacing>0&&(o=n.lineSpacing),n.styletags&&n.styletags.breaklines&&(s.breaklines=!!n.styletags.breaklines),n.styletags&&n.styletags.bolds&&(s.bolds=!!n.styletags.bolds),n.styletags&&n.styletags.italics&&(s.italics=!!n.styletags.italics),n.styletags&&n.styletags.subscripts&&(s.subscripts=!!n.styletags.subscripts),n.styletags&&n.styletags.superscripts&&(s.superscripts=!!n.styletags.superscripts));return 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In order to visit examples that have utilized the method, see the [EnzymeML at Work](https://darus.uni-stuttgart.de/dataverse/enzymeml_at_work) collection." + "For reasons of data quality, the resulting dataset can't be viewed on the web. In order to visit examples that have utilized the method, see the [EnzymeML at Work](https://darus.uni-stuttgart.de/dataverse/enzymeml_at_work) collection." ] }, { diff --git a/docs/_getstarted/04_UploadToDataverse.rst b/docs/_getstarted/04_UploadToDataverse.rst index 675f63df..3c0ea391 100644 --- a/docs/_getstarted/04_UploadToDataverse.rst +++ b/docs/_getstarted/04_UploadToDataverse.rst @@ -25,7 +25,7 @@ in this example: # Upload it to Dataverse (Dataset is private) enzmldoc.uploadToDataverse(dataverse_name="playground") -For reasons of data quality, the resulting dataset cant be viewed on the +For reasons of data quality, the resulting dataset can't be viewed on the web. In order to visit examples that have utilized the method, see the `EnzymeML at Work `__ diff --git a/docs/_getstarted/EnzymeML_Validation_Template.yaml b/docs/_getstarted/EnzymeML_Validation_Template.yaml index a9a04df3..9937caa2 100644 --- a/docs/_getstarted/EnzymeML_Validation_Template.yaml +++ b/docs/_getstarted/EnzymeML_Validation_Template.yaml @@ -140,7 +140,7 @@ protein_dict: - null unit: mandatory: true - description: Unit of the proteins intial concentration. + description: Unit of the proteins initial concentration. range: min: null max: null @@ -230,7 +230,7 @@ complex_dict: - null unit: mandatory: true - description: Unit of the proteins intial concentration. + description: Unit of the proteins initial concentration. range: min: null max: null @@ -279,7 +279,7 @@ reactant_dict: - null unit: mandatory: true - description: Unit of the reactant intial concentration. + description: Unit of the reactant initial concentration. range: min: null max: null diff --git a/docs/_getstarted/EnzymeML_Validation_Template_Example.yaml b/docs/_getstarted/EnzymeML_Validation_Template_Example.yaml index 876f520b..dcf1b265 100644 --- a/docs/_getstarted/EnzymeML_Validation_Template_Example.yaml +++ b/docs/_getstarted/EnzymeML_Validation_Template_Example.yaml @@ -140,7 +140,7 @@ protein_dict: - null unit: mandatory: true - description: Unit of the proteins intial concentration. + description: Unit of the proteins initial concentration. range: min: null max: null @@ -230,7 +230,7 @@ complex_dict: - null unit: mandatory: true - description: Unit of the proteins intial concentration. + description: Unit of the proteins initial concentration. range: min: null max: null @@ -279,7 +279,7 @@ reactant_dict: - null unit: mandatory: true - description: Unit of the reactant intial concentration. + description: Unit of the reactant initial concentration. range: min: null max: null diff --git a/examples/Basic example/CreateEnzymeML.ipynb b/examples/Basic example/CreateEnzymeML.ipynb index 945612fc..9bfc350b 100644 --- a/examples/Basic example/CreateEnzymeML.ipynb +++ b/examples/Basic example/CreateEnzymeML.ipynb @@ -333,9 +333,9 @@ "source": [ "## Documenting measurement setups\n", "\n", - "Now that the theoretical foundation of the experiment has been layed out, it is time to specify the setup of teh measurement. PyEnzyme offers a lab-like system to document such setups. Typically, experiments involve multiple runs with varying initial concentrations of every element that occurs in the reaction network or/and varying conditions such as temperature and pH. Hence, PyEnzyme builts on top of a **measurement** system, where each of these represent a 'run'.\n", + "Now that the theoretical foundation of the experiment has been laid out, it is time to specify the setup of the measurement. PyEnzyme offers a lab-like system to document such setups. Typically, experiments involve multiple runs with varying initial concentrations of every element that occurs in the reaction network or/and varying conditions such as temperature and pH. Hence, PyEnzyme builts on top of a **measurement** system, where each of these represent a 'run'.\n", "\n", - "In this example, the following setups will be tracked including changing inital concentrations and temperatures:\n", + "In this example, the following setups will be tracked including changing initial concentrations and temperatures:\n", "\n", "| Measurement Name | Species | Initial concentration | Unit | Temperature | pH |\n", "|------------------|-----------|-----------------------|-----------|-------------|-----|\n", @@ -571,7 +571,7 @@ "source": [ "## Saving and distributing an EnzymeML document\n", "\n", - "Finally, the experiment has been finished and meta- as well as raw-data been documented. In order to make the data exchangable, PyEnzyme offers several options for data export. First and foremost, the complete experiment can be exported to EnzymeML which is SBML compatible and thus accessible by SBML-based modeling tools (e.g. COPASI, PySCeS). Furthermore, in regard of the web, PyEnzyme offers a JSON export too.\n", + "Finally, the experiment has been finished and meta- as well as raw-data been documented. In order to make the data exchangeable, PyEnzyme offers several options for data export. First and foremost, the complete experiment can be exported to EnzymeML which is SBML compatible and thus accessible by SBML-based modeling tools (e.g. COPASI, PySCeS). Furthermore, in regard of the web, PyEnzyme offers a JSON export too.\n", "\n", "Apart from raw exports, PyEnzyme can also interface with the federated databases system Dataverse by providing a simple upload method that automatically uploads and processes the document contents to a Dataverse compatible format. Please note, the Dataverse must support the 'EnzymeML' metadatablock for a successful upload.\n" ] @@ -659,7 +659,7 @@ "\n", "**Tips and hints:**\n", "\n", - "- PyEnzyme stores a history in the document, which keeps track of what has been changed and added in the course of an experiment. This is done, to spot potential errors and facilitate teh documentation of an experiment's lifeline." + "- PyEnzyme stores a history in the document, which keeps track of what has been changed and added in the course of an experiment. This is done, to spot potential errors and facilitate the documentation of an experiment's lifeline." ] }, { @@ -715,7 +715,7 @@ "source": [ "#### Special case: From the EnzymeML spreadsheet template\n", "\n", - "Apart from programmatic creation of an EnzymeML document, PyEnzyme offers a way to convert the 'EnzymeML spreadhseet template' to an OMEX file. Since spreadsheets are the bread and butter of current lab documentation, the template widely covers teh data model and thus provides an easy access to EnzymeML's capabilities." + "Apart from programmatic creation of an EnzymeML document, PyEnzyme offers a way to convert the 'EnzymeML spreadsheet template' to an OMEX file. Since spreadsheets are the bread and butter of current lab documentation, the template widely covers the data model and thus provides an easy access to EnzymeML's capabilities." ] }, { @@ -770,7 +770,7 @@ "source": [ "## Editing EnzymeML: Kinetic Modeling\n", "\n", - "Building on top of the previous section about loading an EnzymeML document, this example will demonstrate how to interact with an already created EnzymeML document using the OMEX loader. Since the purpose of an experiment is to generate data from a theory, modeling takes care of the interpretation of an experiment outcome. However, PyEnzyme and EnzymeML are no modeling platforms, but provides a convinient way to interface to such. Hence, this example will demonstrate how such an interfacing could look like.\n", + "Building on top of the previous section about loading an EnzymeML document, this example will demonstrate how to interact with an already created EnzymeML document using the OMEX loader. Since the purpose of an experiment is to generate data from a theory, modeling takes care of the interpretation of an experiment outcome. However, PyEnzyme and EnzymeML are no modeling platforms, but provides a convenient way to interface to such. Hence, this example will demonstrate how such an interfacing could look like.\n", "\n", "The enzyme-catalyzed reaction that has been reported in the course of this example obviously follows a simple Michaelis-Menten-Kinetic and thus will be reported as such. But first of all, the next part will demonstrate how measurement data can be exported to be used by a modeling framework/platform.\n", "\n", diff --git a/examples/Dataverse/UploadToDataverse.ipynb b/examples/Dataverse/UploadToDataverse.ipynb index d0f68524..c7fc1d96 100644 --- a/examples/Dataverse/UploadToDataverse.ipynb +++ b/examples/Dataverse/UploadToDataverse.ipynb @@ -50,7 +50,7 @@ "id": "c749b3af-3de0-429a-b23e-e474bb7e2f4c", "metadata": {}, "source": [ - "For reasons of data quality, the resulting dataset cant be viewed on the web. In order to visit examples that have utilized the method, see the [EnzymeML at Work](https://darus.uni-stuttgart.de/dataverse/enzymeml_at_work) collection." + "For reasons of data quality, the resulting dataset can't be viewed on the web. In order to visit examples that have utilized the method, see the [EnzymeML at Work](https://darus.uni-stuttgart.de/dataverse/enzymeml_at_work) collection." ] }, { diff --git a/examples/ThinLayers/COPASI/Untitled.ipynb b/examples/ThinLayers/COPASI/Untitled.ipynb index ed084706..c9f028e6 100644 --- a/examples/ThinLayers/COPASI/Untitled.ipynb +++ b/examples/ThinLayers/COPASI/Untitled.ipynb @@ -140,7 +140,7 @@ " * @author Feross Aboukhadijeh \n", " * @license MIT\n", " */\n", - "\"use strict\";var e=t(\"base64-js\"),n=t(\"ieee754\");r.Buffer=a,r.SlowBuffer=function(t){+t!=t&&(t=0);return a.alloc(+t)},r.INSPECT_MAX_BYTES=50;function i(t){if(t>2147483647)throw new RangeError('The value \"'+t+'\" is invalid for option \"size\"');var e=new Uint8Array(t);return e.__proto__=a.prototype,e}function a(t,e,r){if(\"number\"==typeof t){if(\"string\"==typeof e)throw new TypeError('The \"string\" argument must be of type string. 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2:this._point=3,this._x4=t,this._y4=e,this._context.moveTo((this._x0+4*this._x1+t)/6,(this._y0+4*this._y1+e)/6);break;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},ht.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3;var r=(this._x0+4*this._x1+t)/6,n=(this._y0+4*this._y1+e)/6;this._line?this._context.lineTo(r,n):this._context.moveTo(r,n);break;case 3:this._point=4;default:ct(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},pt.prototype={lineStart:function(){this._x=[],this._y=[],this._basis.lineStart()},lineEnd:function(){var t=this._x,e=this._y,r=t.length-1;if(r>0)for(var 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Xr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Be(e.expression)};Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var Zr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Be(e.expression),this.interpolationType=n};function Jr(t,e){if(\"error\"===(t=Wr(t,e)).result)return t;var r=t.value.expression,n=Fe(r);if(!n&&!zr(e))return Or([new Dt(\"\",\"data expressions not supported\")]);var i=Ne(r,[\"zoom\"]);if(!i&&!Dr(e))return Or([new Dt(\"\",\"zoom expressions not supported\")]);var a=function t(e){var r=null;if(e instanceof cr)r=t(e.result);else if(e instanceof lr)for(var n=0,i=e.args;nn.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var 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ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,m,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,g=Math.max(G,g),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var zl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},Dl={};function Rl(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function Fl(t,e,r,n){var i=Math.pow(t-e,2);return n?t=0,f=0,h=0;h-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;sn;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=f.dist(h)}return!0}function Jl(t){for(var e=0,r=0;rc){var d=(c-l)/p,g=qe(f.x,h.x,d),m=qe(f.y,h.y,d),v=new ql(g,m,h.angleTo(f),u);return v._round(),!o||Zl(t,v,s,o,e)?v:void 0}l+=p}}function tc(t,e,r,n,i,a,o,s,l){var c=Kl(n,a,o),u=Ql(n,i),f=u*o,h=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-f=0&&_=0&&w=0&&p+u<=f){var T=new ql(_,w,x,g);T._round(),i&&!Zl(e,T,o,i,a)||d.push(T)}}h+=y}l||d.length||s||(d=t(e,h/2,n,i,a,o,s,!0,c));return d}(t,h?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,f,h,!1,l)}function ec(t,e,r,n,a){for(var o=[],s=0;s=n&&h.x>=n||(f.x>=n?f=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round():h.x>=n&&(h=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round()),f.y>=a&&h.y>=a||(f.y>=a?f=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round():h.y>=a&&(h=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round()),c&&f.equals(c[c.length-1])||(c=[f],o.push(c)),c.push(h)))))}return o}function rc(t,e,r,n){var a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},g=h.reduce(d,0),m=p.reduce(d,0),v=l-g,y=c-m,x=0,b=g,_=0,w=m,T=0,k=v,A=0,M=y;if(o.content&&n){var S=o.content;x=nc(h,0,S[0]),_=nc(p,0,S[1]),b=nc(h,S[0],S[2]),w=nc(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,a,l,c){var h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,g),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-A,M,a.stretch,m),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,g),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-A,M,c.stretch,m),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,H=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,g),C=ic(p,y,m),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var g=o.top*s-l,m=o.bottom*s+l,v=o.left*s-l,y=o.right*s+l,x=o.collisionPadding;if(x&&(v-=x[0]*s,g-=x[1]*s,y+=x[2]*s,m+=x[3]*s),u){var b=new i(v,g),_=new i(y,g),w=new i(v,m),T=new i(y,m),k=u*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),v=Math.min(b.x,_.x,w.x,T.x),y=Math.max(b.x,_.x,w.x,T.x),g=Math.min(b.y,_.y,w.y,T.y),m=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,v,g,y,m,r,n,a)}this.boxEndIndex=t.length},lc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=cc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return te?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;co)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,g=new lc([],fc);if(0===p)return new i(n,a);for(var m=n;my.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new hc(b.p.x-d,b.p.y-d,d,t)),g.push(new hc(b.p.x+d,b.p.y-d,d,t)),g.push(new hc(b.p.x-d,b.p.y+d,d,t)),g.push(new hc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: \"+x),console.log(\"best distance: \"+y.d)),y.p}function fc(t,e){return e.max-t.max}function hc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;it.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ro(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}lc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},lc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},lc.prototype.peek=function(){return this.data[0]},lc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},lc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=f;x=0;o--)if(n.dist(a[o])0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),g=0,m=t;g=0;for(var O=0,z=k.sections;O=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;gn)i=!1;else if(e)if(this.expirationTimeot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new fo(9);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new fo(4);return fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Wr,t.createLayout=Ii,t.createStyleLayer=function(t){return\"custom\"===t.type?new Dc(t):new Rc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new pi(h),o),c[\"text-size\"].possiblyEvaluate(new pi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,g=d.minZoom,m=d.maxZoom;u.compositeIconSizes=[c[\"icon-size\"].possiblyEvaluate(new pi(g),o),c[\"icon-size\"].possiblyEvaluate(new pi(m),o)]}u.layoutTextSize=c[\"text-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.layoutIconSize=c[\"icon-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.textMaxSize=c[\"text-size\"].possiblyEvaluate(new pi(18));for(var v=24*l.get(\"text-line-height\"),y=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),b=l.get(\"text-size\"),w=function(){var a=k[T],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),c=b.evaluate(a,{},o),f=u.layoutTextSize.evaluate(a,{},o),h=u.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,g=[0,0];if(d){var m=d.toString(),w=24*l.get(\"text-letter-spacing\").evaluate(a,{},o),A=function(t){for(var e=0,r=t;e=8192||f.y<0||f.y>=8192||function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,w,T,k,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),I=0,O=0,z=0,D=0,R=-1,F=-1,B={},N=ya(\"\"),j=0,U=0;void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(M=s.layout.get(\"text-offset\").evaluate(b,{},k).map((function(t){return 24*t})),j=M[0],U=M[1]):(j=24*s.layout.get(\"text-radial-offset\").evaluate(b,{},k),U=pc);if(t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(b,{},k)+90,H=n.vertical;L=new sc(l,e,c,u,f,H,h,p,d,V),o&&(C=new sc(l,e,c,u,f,o,m,v,d,V))}if(i){var q=s.layout.get(\"icon-rotate\").evaluate(b,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Y=rc(i,q,T,G),W=o?rc(o,q,T,G):void 0;E=new sc(l,e,c,u,f,i,m,v,!1,q),I=4*Y.length;var X=t.iconSizeData,Z=null;\"source\"===X.kind?(Z=[128*s.layout.get(\"icon-size\").evaluate(b,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'):\"composite\"===X.kind&&((Z=[128*w.compositeIconSizes[0].evaluate(b,{},k),128*w.compositeIconSizes[1].evaluate(b,{},k)])[0]>32640||Z[1]>32640)&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Y,Z,x,y,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,W&&(O=4*W.length,t.addSymbols(t.icon,W,Z,x,y,b,Cl.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=ya(K.text);var Q=s.layout.get(\"text-rotate\").evaluate(b,{},k);S=new sc(l,e,c,u,f,K,h,p,d,Q)}var $=1===K.positionedLines.length;if(z+=mc(t,e,K,a,s,d,b,g,P,n.vertical?Cl.horizontal:Cl.horizontalOnly,$?Object.keys(n.horizontal):[J],B,R,w,k),$)break}n.vertical&&(D+=mc(t,e,n.vertical,a,s,d,b,g,P,Cl.vertical,[\"vertical\"],B,F,w,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ct=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ct(S,lt),lt=ct(L,lt),lt=ct(E,lt);var ut=(lt=ct(C,lt))>-1?1:0;ut&&(lt*=A/24);t.glyphOffsetArray.length>=Mc.MAX_GLYPHS&&_(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\");void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey);t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,c,z,D,I,O,ut,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,v,w,A,l,x,T,M,d,e,a,c,u,o)};if(\"line\"===S)for(var P=0,I=ec(e.geometry,0,0,8192,8192);P1){var V=$l(U,k,r.vertical||g,n,24,y);V&&C(U,V)}}else if(\"Polygon\"===e.type)for(var H=0,q=hs(e.geometry,0);H=E.maxzoom))if(\"none\"!==E.visibility)o(S,this.zoom,n),(g[E.id]=E.createBucket({index:u.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,m,this.tileID.canonical),u.bucketLayerIDs.push(S.map((function(t){return t.id})))}}}var L=t.mapObject(m.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,I.call(l))})):h={};var C=Object.keys(m.iconDependencies);C.length?a.send(\"getImages\",{icons:C,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){f||(f=t,p=e,I.call(l))})):p={};var P=Object.keys(m.patternDependencies);function I(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in g){var l=g[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(m,this.tileID.canonical,r.patternPositions))}this.status=\"done\",s(null,{buckets:t.values(g).filter((function(t){return!t.isEmpty()})),featureIndex:u,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send(\"getImages\",{icons:P,source:this.source,tileID:this.tileID,type:\"patterns\"},(function(t,e){f||(f=t,d=e,I.call(l))})):d={},I.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status=\"done\",n.loaded[i]=s,r(e);var l=a.rawData,c={};a.expires&&(c.expires=a.expires),a.cacheControl&&(c.cacheControl=a.cacheControl);var u={};if(o){var f=o.finish();f&&(u.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,c,u))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};\"parsing\"===o.status?o.reloadCallback=s:\"done\"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},u.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,g=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,\"id\"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};g.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;!function t(e,r,n,i,a,o){for(;a>i;){if(a-i>600){var s=a-i+1,l=n-i+1,c=Math.log(s),u=.5*Math.exp(2*c/3),f=.5*Math.sqrt(c*u*(s-u)/s)*(l-s/2<0?-1:1),h=Math.max(i,Math.floor(n-l*u/s+f)),p=Math.min(a,Math.floor(n+(s-l)*u/s+f));t(e,r,n,h,p,o)}var 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u}(this.ids,this.coords,t,e,r,n,this.nodeSize)},N.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var c=o.pop(),u=o.pop(),f=o.pop();if(u-f<=a)for(var h=f;h<=u;h++)R(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+u)/2),d=e[2*p],g=e[2*p+1];R(d,g,r,n)<=l&&s.push(t[p]);var m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(f),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return X(X({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function W(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function X(t,e){for(var r in e)t[r]=e[r];return t}function Z(t){return t.x}function J(t){return t.y}function K(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function Q(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if(\"Point\"===r||\"MultiPoint\"===r||\"LineString\"===r)$(t,e);else if(\"Polygon\"===r||\"MultiLineString\"===r)for(var n=0;n0&&(o+=n?(i*c-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(c-a,2))),i=l,a=c}var u=e.length-3;e[2]=1,function t(e,r,n,i){for(var a,o=i,s=n-r>>1,l=n-r,c=e[r],u=e[r+1],f=e[n],h=e[n+1],p=r+3;po)a=p,o=d;else if(d===o){var g=Math.abs(p-s);gi&&(a-r>3&&t(e,r,a,i),e[a+2]=o,n-a>3&&t(e,a,n,i))}(e,0,u,r),e[u+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function nt(t,e,r,n){for(var i=0;i1?1:r}function ot(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],c=0;c=r&&d=n)){var g=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,g,r,n,i);else if(\"LineString\"===h)lt(f,g,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,g,r,n,i,!1);else if(\"Polygon\"===h)ut(f,g,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var m=0;m=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var s,l,c=ct(t),u=0===i?ht:pt,f=t.start,h=0;hr&&(l=u(c,p,d,m,v,r),o&&(c.start=f+s*l)):y>n?x=r&&(l=u(c,p,d,m,v,r),b=!0),x>n&&y<=n&&(l=u(c,p,d,m,v,n),b=!0),!a&&b&&(o&&(c.end=f+s*l),e.push(c),c=ct(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],g=t[_+2],(y=0===i?p:d)>=r&&y<=n&&ft(c,p,d,g),_=c.length-3,a&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&ft(c,c[0],c[1],c[2]),c.length&&e.push(c)}function ct(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ut(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function xt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u1?this._map(c,!0):null,m=(l<<5)+(e+1)+this.points.length,v=0,y=f;v>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);fthis._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;vMath.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;vo*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var I=1;I0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;mt},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-yl&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(sMath.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)e.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\" \"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.ythis._map.transform.height-u?[\"bottom\"]:[],a.xthis._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",g),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",g),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<=0)return 1<2147483647)throw new RangeError('The value \"'+t+'\" is invalid for option \"size\"');var e=new Uint8Array(t);return e.__proto__=a.prototype,e}function a(t,e,r){if(\"number\"==typeof t){if(\"string\"==typeof e)throw new TypeError('The \"string\" argument must be of type string. 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Xr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Be(e.expression)};Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var Zr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Be(e.expression),this.interpolationType=n};function Jr(t,e){if(\"error\"===(t=Wr(t,e)).result)return t;var r=t.value.expression,n=Fe(r);if(!n&&!zr(e))return Or([new Dt(\"\",\"data expressions not supported\")]);var i=Ne(r,[\"zoom\"]);if(!i&&!Dr(e))return Or([new Dt(\"\",\"zoom expressions not supported\")]);var a=function t(e){var r=null;if(e instanceof cr)r=t(e.result);else if(e instanceof lr)for(var n=0,i=e.args;nn.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var 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t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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Qn(t,e){return!(!e&&Kn(t))&&!(t>=2304&&t<=3583||t>=3840&&t<=4255||Yn.Khmer(t))}function $n(t){for(var e=0,r=t;e-1&&(ai=ni),ii&&ii(t)};function li(){ci.fire(new Mt(\"pluginStateChange\",{pluginStatus:ai,pluginURL:oi}))}var ci=new Et,ui=function(){return ai},fi=function(){if(ai!==ti||!oi)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");ai=ei,li(),oi&&xt({url:oi},(function(t){t?si(t):(ai=ri,li())}))},hi={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return ai===ri||null!=hi.applyArabicShaping},isLoading:function(){return ai===ei},setState:function(t){ai=t.pluginStatus,oi=t.pluginURL},isParsed:function(){return null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return 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x(this._values[t].transition)},mi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].transition=x(e)||void 0},mi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);ethis.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);in.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new gi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new mi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return 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j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Co(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=Ws.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new qs(t)},e.prototype.queryRadius=function(t){var e=t,r=Zs(oo(\"line-width\",this,e),oo(\"line-gap-width\",this,e)),n=oo(\"line-offset\",this,e);return r/2+Math.abs(n)+so(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=lo(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*Zs(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a=3)for(var a=0;a0?e+2*t:t}var Js=Ii([{name:\"a_pos_offset\",components:4,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint16\"},{name:\"a_pixeloffset\",components:4,type:\"Int16\"}],4),Ks=Ii([{name:\"a_projected_pos\",components:3,type:\"Float32\"}],4),Qs=(Ii([{name:\"a_fade_opacity\",components:1,type:\"Uint32\"}],4),Ii([{name:\"a_placed\",components:2,type:\"Uint8\"},{name:\"a_shift\",components:2,type:\"Float32\"}])),$s=(Ii([{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]),Ii([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4)),tl=Ii([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);Ii([{name:\"triangle\",components:3,type:\"Uint16\"}]),Ii([{type:\"Int16\",name:\"anchorX\"},{type:\"Int16\",name:\"anchorY\"},{type:\"Uint16\",name:\"glyphStartIndex\"},{type:\"Uint16\",name:\"numGlyphs\"},{type:\"Uint32\",name:\"vertexStartIndex\"},{type:\"Uint32\",name:\"lineStartIndex\"},{type:\"Uint32\",name:\"lineLength\"},{type:\"Uint16\",name:\"segment\"},{type:\"Uint16\",name:\"lowerSize\"},{type:\"Uint16\",name:\"upperSize\"},{type:\"Float32\",name:\"lineOffsetX\"},{type:\"Float32\",name:\"lineOffsetY\"},{type:\"Uint8\",name:\"writingMode\"},{type:\"Uint8\",name:\"placedOrientation\"},{type:\"Uint8\",name:\"hidden\"},{type:\"Uint32\",name:\"crossTileID\"},{type:\"Int16\",name:\"associatedIconIndex\"}]),Ii([{type:\"Int16\",name:\"anchorX\"},{type:\"Int16\",name:\"anchorY\"},{type:\"Int16\",name:\"rightJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"centerJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"leftJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"verticalPlacedTextSymbolIndex\"},{type:\"Int16\",name:\"placedIconSymbolIndex\"},{type:\"Int16\",name:\"verticalPlacedIconSymbolIndex\"},{type:\"Uint16\",name:\"key\"},{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"verticalTextBoxStartIndex\"},{type:\"Uint16\",name:\"verticalTextBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"verticalIconBoxStartIndex\"},{type:\"Uint16\",name:\"verticalIconBoxEndIndex\"},{type:\"Uint16\",name:\"featureIndex\"},{type:\"Uint16\",name:\"numHorizontalGlyphVertices\"},{type:\"Uint16\",name:\"numVerticalGlyphVertices\"},{type:\"Uint16\",name:\"numIconVertices\"},{type:\"Uint16\",name:\"numVerticalIconVertices\"},{type:\"Uint16\",name:\"useRuntimeCollisionCircles\"},{type:\"Uint32\",name:\"crossTileID\"},{type:\"Float32\",name:\"textBoxScale\"},{type:\"Float32\",components:2,name:\"textOffset\"},{type:\"Float32\",name:\"collisionCircleDiameter\"}]),Ii([{type:\"Float32\",name:\"offsetX\"}]),Ii([{type:\"Int16\",name:\"x\"},{type:\"Int16\",name:\"y\"},{type:\"Int16\",name:\"tileUnitDistanceFromAnchor\"}]);function el(t,e,r){return t.sections.forEach((function(t){t.text=function(t,e,r){var n=e.layout.get(\"text-transform\").evaluate(r,{});return\"uppercase\"===n?t=t.toLocaleUpperCase():\"lowercase\"===n&&(t=t.toLocaleLowerCase()),hi.applyArabicShaping&&(t=hi.applyArabicShaping(t)),t}(t.text,e,r)})),t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}ol.Varint=0,ol.Fixed64=1,ol.Bytes=2,ol.Fixed32=5;var sl=\"undefined\"==typeof TextDecoder?null:new TextDecoder(\"utf8\");function ll(t){return t.type===ol.Bytes?t.readVarint()+t.pos:t.pos+1}function cl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function ul(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function fl(t,e){for(var r=0;r>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function wl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}ol.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos>3,a=this.pos;this.type=7&n,t(i,e,this),this.pos===a&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=bl(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var 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n}(this.buf,e,t)},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==ol.Bytes)return t.push(this.readVarint(e));var r=ll(this);for(t=t||[];this.pos127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e268435455||t<0?function(t,e){var r,n;t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0));if(t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var 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a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},g=h.reduce(d,0),m=p.reduce(d,0),v=l-g,y=c-m,x=0,b=g,_=0,w=m,T=0,k=v,A=0,M=y;if(o.content&&n){var S=o.content;x=nc(h,0,S[0]),_=nc(p,0,S[1]),b=nc(h,S[0],S[2]),w=nc(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,a,l,c){var h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,g),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-A,M,a.stretch,m),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,g),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-A,M,c.stretch,m),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var 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r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return te?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;co)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,g=new lc([],fc);if(0===p)return new i(n,a);for(var m=n;my.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new hc(b.p.x-d,b.p.y-d,d,t)),g.push(new hc(b.p.x+d,b.p.y-d,d,t)),g.push(new hc(b.p.x-d,b.p.y+d,d,t)),g.push(new hc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: \"+x),console.log(\"best distance: \"+y.d)),y.p}function fc(t,e){return e.max-t.max}function hc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;it.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ro(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}lc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},lc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},lc.prototype.peek=function(){return this.data[0]},lc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},lc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;gn)i=!1;else if(e)if(this.expirationTimeot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new fo(9);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new fo(4);return fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Wr,t.createLayout=Ii,t.createStyleLayer=function(t){return\"custom\"===t.type?new Dc(t):new Rc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new pi(h),o),c[\"text-size\"].possiblyEvaluate(new pi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,g=d.minZoom,m=d.maxZoom;u.compositeIconSizes=[c[\"icon-size\"].possiblyEvaluate(new pi(g),o),c[\"icon-size\"].possiblyEvaluate(new pi(m),o)]}u.layoutTextSize=c[\"text-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.layoutIconSize=c[\"icon-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.textMaxSize=c[\"text-size\"].possiblyEvaluate(new pi(18));for(var v=24*l.get(\"text-line-height\"),y=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),b=l.get(\"text-size\"),w=function(){var a=k[T],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),c=b.evaluate(a,{},o),f=u.layoutTextSize.evaluate(a,{},o),h=u.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,g=[0,0];if(d){var m=d.toString(),w=24*l.get(\"text-letter-spacing\").evaluate(a,{},o),A=function(t){for(var e=0,r=t;e=8192||f.y<0||f.y>=8192||function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,w,T,k,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),I=0,O=0,z=0,D=0,R=-1,F=-1,B={},N=ya(\"\"),j=0,U=0;void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(M=s.layout.get(\"text-offset\").evaluate(b,{},k).map((function(t){return 24*t})),j=M[0],U=M[1]):(j=24*s.layout.get(\"text-radial-offset\").evaluate(b,{},k),U=pc);if(t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(b,{},k)+90,H=n.vertical;L=new sc(l,e,c,u,f,H,h,p,d,V),o&&(C=new sc(l,e,c,u,f,o,m,v,d,V))}if(i){var q=s.layout.get(\"icon-rotate\").evaluate(b,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Y=rc(i,q,T,G),W=o?rc(o,q,T,G):void 0;E=new sc(l,e,c,u,f,i,m,v,!1,q),I=4*Y.length;var X=t.iconSizeData,Z=null;\"source\"===X.kind?(Z=[128*s.layout.get(\"icon-size\").evaluate(b,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'):\"composite\"===X.kind&&((Z=[128*w.compositeIconSizes[0].evaluate(b,{},k),128*w.compositeIconSizes[1].evaluate(b,{},k)])[0]>32640||Z[1]>32640)&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Y,Z,x,y,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,W&&(O=4*W.length,t.addSymbols(t.icon,W,Z,x,y,b,Cl.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=ya(K.text);var Q=s.layout.get(\"text-rotate\").evaluate(b,{},k);S=new sc(l,e,c,u,f,K,h,p,d,Q)}var $=1===K.positionedLines.length;if(z+=mc(t,e,K,a,s,d,b,g,P,n.vertical?Cl.horizontal:Cl.horizontalOnly,$?Object.keys(n.horizontal):[J],B,R,w,k),$)break}n.vertical&&(D+=mc(t,e,n.vertical,a,s,d,b,g,P,Cl.vertical,[\"vertical\"],B,F,w,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ct=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ct(S,lt),lt=ct(L,lt),lt=ct(E,lt);var ut=(lt=ct(C,lt))>-1?1:0;ut&&(lt*=A/24);t.glyphOffsetArray.length>=Mc.MAX_GLYPHS&&_(\"Too many glyphs being rendered in a tile. 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L=t.mapObject(m.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,I.call(l))})):h={};var C=Object.keys(m.iconDependencies);C.length?a.send(\"getImages\",{icons:C,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){f||(f=t,p=e,I.call(l))})):p={};var P=Object.keys(m.patternDependencies);function I(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in g){var l=g[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof 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r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new 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r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requesters=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requesters;e=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);fthis._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;vMath.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;vo*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var I=1;I0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;mt},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-yl&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(sMath.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)e.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\" \"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.ythis._map.transform.height-u?[\"bottom\"]:[],a.xthis._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",g),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",g),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<=0)return 1<=-t},pointBetween:function(e,r,n){var i=e[1]-r[1],a=n[0]-r[0],o=e[0]-r[0],s=n[1]-r[1],l=o*a+i*s;return!(l-t)},pointsSameX:function(e,r){return Math.abs(e[0]-r[0])t!=o-i>t&&(a-c)*(i-u)/(o-u)+c-n>t&&(s=!s),a=c,o=u}return s}};return e}},{}],257:[function(t,e,r){var n={toPolygon:function(t,e){function r(e){if(e.length<=0)return t.segments({inverted:!1,regions:[]});function r(e){var r=e.slice(0,e.length-1);return t.segments({inverted:!1,regions:[r]})}for(var 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a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;ce.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n1&&(h.variants=f.variants),f.orientation&&(h.orientation=f.orientation),f.exif_location&&f.exif_location.offset+f.exif_location.length<=t.length){var 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e=n(t,0),r=n(t,2),i=n(t,4);if(0===e&&1===r&&i){for(var a=[],o={width:0,height:0},s=0;so.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}},{\"../common\":262}],269:[function(t,e,r){\"use strict\";var n=t(\"../common\").readUInt16BE,i=t(\"../common\").str2arr,a=t(\"../common\").sliceEq,o=t(\"../exif_utils\"),s=i(\"Exif\\0\\0\");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1]&&255===t[2])for(var e=2;;){for(;;){if(t.length-e<2)return;if(255===t[e++])break}for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e0&&(c.orientation=i),c}e+=r}}},{\"../common\":262,\"../exif_utils\":263}],270:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"\\x89PNG\\r\\n\\x1a\\n\"),s=n(\"IHDR\");e.exports=function(t){if(!(t.length<24)&&i(t,0,o)&&i(t,12,s))return{width:a(t,16),height:a(t,20),type:\"png\",mime:\"image/png\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],271:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"8BPS\\0\\x01\");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:\"psd\",mime:\"image/vnd.adobe.photoshop\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],272:[function(t,e,r){\"use strict\";function n(t){return\"number\"==typeof t&&isFinite(t)&&t>0}var 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t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),u||(x[c]=u={id:c,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},y,t)),a(u,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff 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startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=f[a.year-f[0]];for(p=0;p<13;p++){var g=d&1<<12-p?30:29;if(l>13;!m||p=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{\"../main\":346,\"object-assign\":247}],336:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=tthis.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":346,\"object-assign\":247}],337:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":346,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;oe-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||\"y\"!==n&&\"m\"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var 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n=t(\"../../plots/font_attributes\"),i=t(\"./layout_attributes\").hoverlabel,a=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0}),bordercolor:a({},i.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":493,\"../../plots/font_attributes\":585,\"./layout_attributes\":407}],398:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\");function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&&(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s=0&&r.index_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V=\"xval\"in e?v.flat(l,e.xval):v.p2c(_,at),H=\"yval\"in 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Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;oe.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;Ni.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m=0?at:ot+ct=0?ot:vt+ct=0?nt:it+ut=0?it:yt+ut=0,\"top\"!==t.idealAlign&&G||!Y?G?(z+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(z-=j/2,t.anchor=\"end\");else if(t.pos=z,G=P+N/2+W<=R,Y=P-N/2-W>=0,\"left\"!==t.idealAlign&&G||!Y)if(G)P+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var X=W/2,Z=P+X-R,J=P-X;Z>0&&(P-=Z),J<0&&(P+=-J)}else P-=N/2,t.anchor=\"end\";w.attr(\"text-anchor\",t.anchor),E&&A.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",s(P,z)+(c?l(_):\"\"))})),xt}function O(t,e,r,n,i,a){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=B(t.name,t.nameLength));var c=r.charAt(0),u=\"x\"===c?\"y\":\"x\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"
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n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||u){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,v,y=e.hLinePoint;n=y&&y.xa,\"cursor\"===(i=y&&y.ya).spikesnap?(m=c.pointerX,v=c.pointerY):(m=n._offset+y.x,v=i._offset+y.y);var x,b,_=a.readability(y.color,d)<1.5?p.contrast(d):y.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=m),-1!==w.indexOf(\"across\")){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s0&&P<0&&(P+=360);var I,O,z,D=(C+P)/2;if(!p){var R=d?f.projRotate:[D,0,0];I=r(\"projection.rotation.lon\",R[0]),r(\"projection.rotation.lat\",R[1]),r(\"projection.rotation.roll\",R[2]),r(\"showcoastlines\",!d&&x)&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),r(\"showocean\",!!x&&void 0)&&r(\"oceancolor\")}(p?(O=-96.6,z=38.7):(O=d?D:I,z=(L[0]+L[1])/2),r(\"center.lon\",O),r(\"center.lat\",z),g&&(r(\"projection.tilt\"),r(\"projection.distance\")),m)&&r(\"projection.parallels\",f.projParallels||[0,60]);r(\"projection.scale\"),r(\"showland\",!!x&&void 0)&&r(\"landcolor\"),r(\"showlakes\",!!x&&void 0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==u&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===u||\"north 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e=0,r=arguments.length,i=[];for(;++ed?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var g=180-a-2*p,m=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,m)<=b(r[0],r[1],g,v)?[a,m,r[2]]:[g,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;nMath.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n).999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var 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f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;ar.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"
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D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1120,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;aOpenStreetMap contributors',a=['\\xa9 Carto',i].join(\" \"),o=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under CC BY SA'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install mapbox-gl@1.10.1.\"].join(\"\\n\"),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\" Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",l.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(\"\\n\"),multipleTokensErrorMsg:[\"Set multiple mapbox access token across different mapbox subplot,\",\"using first token found as mapbox-gl does not allow multipleaccess tokens on the same page.\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",mapboxLogo:{path0:\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z\",path1:\"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=i.strTranslate,o=i.strScale,s=t(\"../../plots/get_data\").getSubplotCalcData,l=t(\"../../constants/xmlns_namespaces\"),c=t(\"@plotly/d3\"),u=t(\"../../components/drawing\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./mapbox\"),p=r.constants=t(\"./constants\");function d(t){return\"string\"==typeof t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l1&&i.warn(p.multipleTokensErrorMsg),n[0]):(a.length&&i.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}(t,a);n.accessToken=o;for(var l=0;l_/2){var w=v.split(\"|\").join(\"
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i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,g=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=m.makeDragger(f,\"path\",\"maindrag\",\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,g)),o=a-D,l=a+D;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function $(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=K(t,e),o=K(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=O(D,u,l,c);n=O(R,f,h[0][0],h[0][1]),i=O(R,f,h[1][0],h[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,g),x),tp?(t-1&&1===t&&_(e,u,[s.xaxis],[s.yaxis],s.id,W),r.indexOf(\"event\")>-1&&y.click(u,e,s.id)}W.prepFn=function(t,n,a){var l=u._fullLayout.dragmode,f=F.getBoundingClientRect();u._fullLayout._calcInverseTransform(u);var p=u._fullLayout._invTransform;e=u._fullLayout._invScaleX,r=u._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var v=E.findPolygonOffset(g,L[0],L[1],C);B+=A+v[0],N+=M+v[1]}switch(l){case\"zoom\":W.clickFn=st,c||(W.moveFn=C?it:rt,W.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),H=!1;var t=u._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=m.makeZoombox(h,q,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Y=m.makeCorners(h,T,k),w(u)}());break;case\"select\":case\"lasso\":b(t,n,a,W,l)}},v.init(W)},N.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,g=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(g.visible){var b,_,T,M=R(i.radialAxisAngle),E=g._rl,L=E[0],C=E[1],P=E[r],I=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var O,z,D,B=m.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};V(n.select(B),g.visible&&h0==(r?D>L:Dn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&\"linear\"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o0?1:0}function i(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function a(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function o(t,e){return e*t.radius}e.exports={smith:i,reactanceArc:function(t,e,r,n){var s=a(t,i([r,e])),l=s[0],c=s[1],u=a(t,i([n,e])),f=u[0],h=u[1];if(0===e)return[\"M\"+l+\",\"+c,\"L\"+f+\",\"+h].join(\" \");var p=o(t,1/Math.abs(e));return[\"M\"+l+\",\"+c,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+f+\",\"+h].join(\" \")},resistanceArc:function(t,e,r,s){var l=o(t,1/(e+1)),c=a(t,i([e,r])),u=c[0],f=c[1],h=a(t,i([e,s])),p=h[0],d=h[1];if(n(r)!==n(s)){var g=a(t,i([e,0]));return[\"M\"+u+\",\"+f,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=u&&(h.min=0,d.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function g(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,g=e._name.charAt(0).toUpperCase(),m=\"Component 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S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;iE*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var I=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",I),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",O),p.layers.bgrid.attr(\"transform\",O);var z=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",z),p.layers.agrid.attr(\"transform\",z);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+(\"outside\"===a.ticks?a.ticklen:0)+3;n[\"a-title\"]=b.draw(e,\"a\"+r,{propContainer:i,propName:this.id+\".aaxis.title\",placeholder:l(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=b.draw(e,\"b\"+r,{propContainer:a,propName:this.id+\".baxis.title\",placeholder:l(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=b.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:l(e,\"Click to enter Component C 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;z(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&m.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),g=(l/2+u)*M.w,m=(1-l/2-c)*M.w,y=(g+m)/2,x=m-g,_=(1-l)*M.h,w=_-x/E;x.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){z(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),O=!1))}function H(t,e){var 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":907}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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i._trace=a,a.update(e),t.glplot.add(i),a}}},{\"../../../stackgl_modules\":1120,\"../../components/colorscale\":378,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../../plots/gl3d/zip3\":609}],865:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./attributes\"),o=t(\"../../components/colorscale/defaults\");function s(t,e,r,n,a){var s=a(\"isomin\"),l=a(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a(\"x\"),u=a(\"y\"),f=a(\"z\"),h=a(\"value\");c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length?(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),a(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach((function(t){a(t+\"hoverformat\");var e=\"caps.\"+t;a(e+\".show\")&&a(e+\".fill\");var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var 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t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.yf.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragXp.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),ni?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){h(r,t,n,e)}},{\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_api\":540,\"@plotly/d3\":58,\"d3-interpolate\":116,tinycolor2:312}],887:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\"./parcats\":886}],888:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*fe){h=r;break}}if(a=u,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-c[f][1]t[1]+r||e=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[a],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),h(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"../../plots/domain\":584,\"./attributes\":888,\"./axisbrush\":889,\"./constants\":892,\"./merge_length\":897}],894:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return 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hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n return (\\n fOutside(p[0], lo[0], hi[0]) ||\\n fOutside(p[1], lo[1], hi[1]) ||\\n fOutside(p[2], lo[2], hi[2]) ||\\n fOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n return (\\n vOutside(p[0], lo[0], hi[0]) ||\\n vOutside(p[1], lo[1], hi[1]) ||\\n vOutside(p[2], lo[2], hi[2]) ||\\n vOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n return mOutside(A, loA, hiA) ||\\n mOutside(B, loB, hiB) ||\\n mOutside(C, loC, hiC) ||\\n mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n mat4 pnts[4];\\n pnts[0] = A;\\n pnts[1] = B;\\n pnts[2] = C;\\n pnts[3] = D;\\n\\n for(int i = 0; i < 4; ++i) {\\n for(int j = 0; j < 4; ++j) {\\n for(int k = 0; k < 4; ++k) {\\n if(0 == iMod(\\n int(255.0 * texture2D(maskTexture,\\n vec2(\\n (float(i * 2 + j / 2) + 0.5) / 8.0,\\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n ))[3]\\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n 2\\n )) return true;\\n }\\n }\\n }\\n return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float x = 0.5 * sign(v) + 0.5;\\n float y = axisY(x, A, B, C, D);\\n float z = 1.0 - abs(v);\\n\\n z += isContext ? 0.0 : 2.0 * float(\\n outsideBoundingBox(A, B, C, D) ||\\n outsideRasterMask(A, B, C, D)\\n );\\n\\n return vec4(\\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n z,\\n 1.0\\n );\\n}\\n\\nvoid main() {\\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n float v = colors[3];\\n\\n gl_Position = position(isContext, v, A, B, C, D);\\n\\n fragColor =\\n isContext ? vec4(contextColor) :\\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;au&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&no._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function I(t,e){return 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Z=Y.selectAll(\".\"+y.cn.axisExtentBottom).data(g,d);Z.enter().append(\"g\").classed(y.cn.axisExtentBottom,!0),Z.attr(\"transform\",(function(t){return c(0,t.model.height+y.axisExtentOffset)}));var J=Z.selectAll(\".\"+y.cn.axisExtentBottomText).data(g,d);J.enter().append(\"text\").classed(y.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),J.text((function(t){return D(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(V,T)}},{\"../../components/colorscale\":378,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"./axisbrush\":889,\"./constants\":892,\"./helpers\":894,\"./lines\":896,\"@plotly/d3\":58,\"color-rgba\":91}],899:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\"),i=t(\"../../lib/prepare_regl\"),a=t(\"./helpers\").isVisible;function o(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}e.exports=function(t,e){var r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter((function(t){return!a(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":516,\"./helpers\":894,\"./parcoords\":898}],900:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;hMath.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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h={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;ry&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C=\"\";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;eb-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500,\"strongly-connected-components\":306}],919:[function(t,e,r){\"use 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n.coerce(g,m,i.node,t,e)}v(\"label\"),v(\"groups\"),v(\"x\"),v(\"y\"),v(\"pad\"),v(\"thickness\"),v(\"line.color\"),v(\"line.width\"),v(\"hoverinfo\",t.hoverinfo),l(g,m,v,d),v(\"hovertemplate\");var y=h.colorway;v(\"color\",m.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v(\"customdata\");var x=t.link||{},b=c.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function g(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function m(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(m(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(m(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":919,\"./render\":923,\"@plotly/d3\":58}],923:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,g=t(\"../../lib/gup\"),m=g.keyFun,v=g.repeat,y=g.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" 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a=e.layers.frontplot.select(\"g.scatterlayer\"),o={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},s=e.radialAxis,l=e.angularAxis,c=0;c=c&&(y.marker.cluster=d.tree),y.marker&&(y.markerSel.positions=y.markerUnsel.positions=y.marker.positions=_),y.line&&_.length>1&&l.extendFlat(y.line,s.linePositions(t,p,_)),y.text&&(l.extendFlat(y.text,{positions:_},s.textPosition(t,p,y.text,y.marker)),l.extendFlat(y.textSel,{positions:_},s.textPosition(t,p,y.text,y.markerSel)),l.extendFlat(y.textUnsel,{positions:_},s.textPosition(t,p,y.text,y.markerUnsel))),y.fill&&!h.fill2d&&(h.fill2d=!0),y.marker&&!h.scatter2d&&(h.scatter2d=!0),y.line&&!h.line2d&&(h.line2d=!0),y.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(y.line),h.fillOptions.push(y.fill),h.markerOptions.push(y.marker),h.markerSelectedOptions.push(y.markerSel),h.markerUnselectedOptions.push(y.markerUnsel),h.textOptions.push(y.text),h.textSelectedOptions.push(y.textSel),h.textUnselectedOptions.push(y.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=m,d.theta=v,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}}},{\"../../lib\":503,\"../scattergl/constants\":980,\"../scattergl/convert\":981,\"../scattergl/plot\":988,\"../scattergl/scene_update\":989,\"@plotly/point-cluster\":59,\"fast-isnumeric\":190}],1014:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../lib/extend\").extendFlat,o=t(\"../scatter/attributes\"),s=t(\"../../plots/attributes\"),l=o.line;e.exports={mode:o.mode,real:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},imag:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},text:o.text,texttemplate:i({editType:\"plot\"},{keys:[\"real\",\"imag\",\"text\"]}),hovertext:o.hovertext,line:{color:l.color,width:l.width,dash:l.dash,shape:a({},l.shape,{values:[\"linear\",\"spline\"]}),smoothing:l.smoothing,editType:\"calc\"},connectgaps:o.connectgaps,marker:o.marker,cliponaxis:a({},o.cliponaxis,{dflt:!1}),textposition:o.textposition,textfont:o.textfont,fill:a({},o.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:o.fillcolor,hoverinfo:a({},s.hoverinfo,{flags:[\"real\",\"imag\",\"text\",\"name\"]}),hoveron:o.hoveron,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":926}],1015:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\"),s=t(\"../scatter/calc_selection\"),l=t(\"../scatter/calc\").calcMarkerSize;e.exports=function(t,e){for(var r=t._fullLayout,c=e.subplot,u=r[c].realaxis,f=r[c].imaginaryaxis,h=u.makeCalcdata(e,\"real\"),p=f.makeCalcdata(e,\"imag\"),d=e._length,g=new Array(d),m=0;m\")}}e.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{\"../scatter/hover\":937}],1019:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"scattersmith\",basePlotModule:t(\"../../plots/smith\"),categories:[\"smith\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"../scatter/select\"),meta:{}}},{\"../../plots/smith\":629,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1014,\"./calc\":1015,\"./defaults\":1016,\"./format_labels\":1017,\"./hover\":1018,\"./plot\":1020}],1020:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../../plots/smith/helpers\").smith;e.exports=function(t,e,r){for(var o=e.layers.frontplot.select(\"g.scatterlayer\"),s={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},l=0;l\"),o.hovertemplate=h.hovertemplate,a}function x(t,e){v.push(t._hovertitle+\": \"+e)}}},{\"../scatter/hover\":937}],1027:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scatterternary\",basePlotModule:t(\"../../plots/ternary\"),categories:[\"ternary\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/ternary\":634,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1021,\"./calc\":1022,\"./defaults\":1023,\"./event_data\":1024,\"./format_labels\":1025,\"./hover\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\");e.exports=function(t,e,r){var i=e.plotContainer;i.select(\".scatterlayer\").selectAll(\"*\").remove();var a={xaxis:e.xaxis,yaxis:e.yaxis,plot:i,layerClipId:e._hasClipOnAxisFalse?e.clipIdRelative:null},o=e.layers.frontplot.select(\"g.scatterlayer\");n(t,a,r,o)}},{\"../scatter/plot\":947}],1029:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../scattergl/attributes\"),l=t(\"../../plots/cartesian/constants\").idRegex,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"../../lib/extend\").extendFlat,f=n.marker,h=f.line,p=u(i(\"marker.line\",{editTypeOverride:\"calc\"}),{width:u({},h.width,{editType:\"calc\"}),editType:\"calc\"}),d=u(i(\"marker\"),{symbol:f.symbol,size:u({},f.size,{editType:\"markerSize\"}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:f.opacity,colorbar:f.colorbar,line:p,editType:\"calc\"});function 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h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var 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g(t,e){if(t0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a_;)r--,r/=v(r),++r1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];ea&&(this.minValues[e]=a),this.maxValues[e]\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\"cubic-out\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\"cubic-out\",uplift:5,wrapSpacer:\" \",wrapSplitCharacter:\" 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e=0,r=0;r=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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f,h,p=u?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",g=u?null:T(t.calcdata.cells.format,e,r)||null,m=p+(g?a(g)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(f=w(m)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===f?w(m):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(\" \"===n.wrapSplitCharacter?m.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return u(0,e)})),t&&(C(t,r,e,c,n.prevPages,n,0),C(t,r,e,c,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===u}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value=\"\";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=!0})),o.selectAll(\"tspan.line\").remove(),_(o.select(\".\"+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(z)}}function I(t,e,r,a,o){return function(){if(!o.settledY){var 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translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * 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startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n + positionFract * scale + translateFract\\n + position * scaleFract\\n + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var 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t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leap year:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Some\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leap year:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leap year(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leap year(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Some\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leap year:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leap year(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),f=t-this.toJD(l,u,1)+1;return this.newDate(l,u,f)}}),n.calendars.persian=a,n.calendars.jalali=a},{\"../main\":346,\"object-assign\":247}],343:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leap year:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leap year(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leap year(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leap year(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leap year(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leap year:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;ar)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;ne);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leap year:function(){return this._calendar.leap year(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leap year(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;oe-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||\"y\"!==n&&\"m\"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var 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n=t(\"../../plots/font_attributes\"),i=t(\"./layout_attributes\").hoverlabel,a=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0}),bordercolor:a({},i.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":493,\"../../plots/font_attributes\":585,\"./layout_attributes\":407}],398:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\");function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&&(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s=0&&r.index_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V=\"xval\"in e?v.flat(l,e.xval):v.p2c(_,at),H=\"yval\"in 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Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;oe.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;Ni.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m=0?at:ot+ct=0?ot:vt+ct=0?nt:it+ut=0?it:yt+ut=0,\"top\"!==t.idealAlign&&G||!Y?G?(z+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(z-=j/2,t.anchor=\"end\");else if(t.pos=z,G=P+N/2+W<=R,Y=P-N/2-W>=0,\"left\"!==t.idealAlign&&G||!Y)if(G)P+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var X=W/2,Z=P+X-R,J=P-X;Z>0&&(P-=Z),J<0&&(P+=-J)}else P-=N/2,t.anchor=\"end\";w.attr(\"text-anchor\",t.anchor),E&&A.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",s(P,z)+(c?l(_):\"\"))})),xt}function O(t,e,r,n,i,a){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=B(t.name,t.nameLength));var c=r.charAt(0),u=\"x\"===c?\"y\":\"x\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"
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n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||u){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,v,y=e.hLinePoint;n=y&&y.xa,\"cursor\"===(i=y&&y.ya).spikesnap?(m=c.pointerX,v=c.pointerY):(m=n._offset+y.x,v=i._offset+y.y);var x,b,_=a.readability(y.color,d)<1.5?p.contrast(d):y.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=m),-1!==w.indexOf(\"across\")){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s0&&P<0&&(P+=360);var I,O,z,D=(C+P)/2;if(!p){var R=d?f.projRotate:[D,0,0];I=r(\"projection.rotation.lon\",R[0]),r(\"projection.rotation.lat\",R[1]),r(\"projection.rotation.roll\",R[2]),r(\"showcoastlines\",!d&&x)&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),r(\"showocean\",!!x&&void 0)&&r(\"oceancolor\")}(p?(O=-96.6,z=38.7):(O=d?D:I,z=(L[0]+L[1])/2),r(\"center.lon\",O),r(\"center.lat\",z),g&&(r(\"projection.tilt\"),r(\"projection.distance\")),m)&&r(\"projection.parallels\",f.projParallels||[0,60]);r(\"projection.scale\"),r(\"showland\",!!x&&void 0)&&r(\"landcolor\"),r(\"showlakes\",!!x&&void 0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==u&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===u||\"north 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e=0,r=arguments.length,i=[];for(;++ed?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var g=180-a-2*p,m=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,m)<=b(r[0],r[1],g,v)?[a,m,r[2]]:[g,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;nMath.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n).999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var 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f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;ar.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"
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D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1120,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;aOpenStreetMap contributors',a=['\\xa9 Carto',i].join(\" \"),o=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under CC BY SA'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install mapbox-gl@1.10.1.\"].join(\"\\n\"),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\" Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",l.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(\"\\n\"),multipleTokensErrorMsg:[\"Set multiple mapbox access token across different mapbox subplot,\",\"using first token found as mapbox-gl does not allow multipleaccess tokens on the same page.\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",mapboxLogo:{path0:\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z\",path1:\"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=i.strTranslate,o=i.strScale,s=t(\"../../plots/get_data\").getSubplotCalcData,l=t(\"../../constants/xmlns_namespaces\"),c=t(\"@plotly/d3\"),u=t(\"../../components/drawing\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./mapbox\"),p=r.constants=t(\"./constants\");function d(t){return\"string\"==typeof t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l1&&i.warn(p.multipleTokensErrorMsg),n[0]):(a.length&&i.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}(t,a);n.accessToken=o;for(var l=0;l_/2){var w=v.split(\"|\").join(\"
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i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,g=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=m.makeDragger(f,\"path\",\"maindrag\",\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,g)),o=a-D,l=a+D;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function $(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=K(t,e),o=K(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=O(D,u,l,c);n=O(R,f,h[0][0],h[0][1]),i=O(R,f,h[1][0],h[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,g),x),tp?(t-1&&1===t&&_(e,u,[s.xaxis],[s.yaxis],s.id,W),r.indexOf(\"event\")>-1&&y.click(u,e,s.id)}W.prepFn=function(t,n,a){var l=u._fullLayout.dragmode,f=F.getBoundingClientRect();u._fullLayout._calcInverseTransform(u);var p=u._fullLayout._invTransform;e=u._fullLayout._invScaleX,r=u._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var v=E.findPolygonOffset(g,L[0],L[1],C);B+=A+v[0],N+=M+v[1]}switch(l){case\"zoom\":W.clickFn=st,c||(W.moveFn=C?it:rt,W.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),H=!1;var t=u._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=m.makeZoombox(h,q,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Y=m.makeCorners(h,T,k),w(u)}());break;case\"select\":case\"lasso\":b(t,n,a,W,l)}},v.init(W)},N.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,g=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(g.visible){var b,_,T,M=R(i.radialAxisAngle),E=g._rl,L=E[0],C=E[1],P=E[r],I=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var O,z,D,B=m.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};V(n.select(B),g.visible&&h0==(r?D>L:Dn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&\"linear\"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o0?1:0}function i(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function a(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function o(t,e){return e*t.radius}e.exports={smith:i,reactanceArc:function(t,e,r,n){var s=a(t,i([r,e])),l=s[0],c=s[1],u=a(t,i([n,e])),f=u[0],h=u[1];if(0===e)return[\"M\"+l+\",\"+c,\"L\"+f+\",\"+h].join(\" \");var p=o(t,1/Math.abs(e));return[\"M\"+l+\",\"+c,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+f+\",\"+h].join(\" \")},resistanceArc:function(t,e,r,s){var l=o(t,1/(e+1)),c=a(t,i([e,r])),u=c[0],f=c[1],h=a(t,i([e,s])),p=h[0],d=h[1];if(n(r)!==n(s)){var g=a(t,i([e,0]));return[\"M\"+u+\",\"+f,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=u&&(h.min=0,d.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function g(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,g=e._name.charAt(0).toUpperCase(),m=\"Component 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S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;iE*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var I=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",I),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",O),p.layers.bgrid.attr(\"transform\",O);var z=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",z),p.layers.agrid.attr(\"transform\",z);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+(\"outside\"===a.ticks?a.ticklen:0)+3;n[\"a-title\"]=b.draw(e,\"a\"+r,{propContainer:i,propName:this.id+\".aaxis.title\",placeholder:l(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=b.draw(e,\"b\"+r,{propContainer:a,propName:this.id+\".baxis.title\",placeholder:l(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=b.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:l(e,\"Click to enter Component C 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;z(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&m.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),g=(l/2+u)*M.w,m=(1-l/2-c)*M.w,y=(g+m)/2,x=m-g,_=(1-l)*M.h,w=_-x/E;x.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){z(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),O=!1))}function H(t,e){var 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":907}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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i._trace=a,a.update(e),t.glplot.add(i),a}}},{\"../../../stackgl_modules\":1120,\"../../components/colorscale\":378,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../../plots/gl3d/zip3\":609}],865:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./attributes\"),o=t(\"../../components/colorscale/defaults\");function s(t,e,r,n,a){var s=a(\"isomin\"),l=a(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a(\"x\"),u=a(\"y\"),f=a(\"z\"),h=a(\"value\");c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length?(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),a(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach((function(t){a(t+\"hoverformat\");var e=\"caps.\"+t;a(e+\".show\")&&a(e+\".fill\");var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var 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t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.yf.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragXp.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),ni?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){h(r,t,n,e)}},{\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_api\":540,\"@plotly/d3\":58,\"d3-interpolate\":116,tinycolor2:312}],887:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\"./parcats\":886}],888:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*fe){h=r;break}}if(a=u,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-c[f][1]t[1]+r||e=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[a],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),h(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"../../plots/domain\":584,\"./attributes\":888,\"./axisbrush\":889,\"./constants\":892,\"./merge_length\":897}],894:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return 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hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n return (\\n fOutside(p[0], lo[0], hi[0]) ||\\n fOutside(p[1], lo[1], hi[1]) ||\\n fOutside(p[2], lo[2], hi[2]) ||\\n fOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n return (\\n vOutside(p[0], lo[0], hi[0]) ||\\n vOutside(p[1], lo[1], hi[1]) ||\\n vOutside(p[2], lo[2], hi[2]) ||\\n vOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n return mOutside(A, loA, hiA) ||\\n mOutside(B, loB, hiB) ||\\n mOutside(C, loC, hiC) ||\\n mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n mat4 pnts[4];\\n pnts[0] = A;\\n pnts[1] = B;\\n pnts[2] = C;\\n pnts[3] = D;\\n\\n for(int i = 0; i < 4; ++i) {\\n for(int j = 0; j < 4; ++j) {\\n for(int k = 0; k < 4; ++k) {\\n if(0 == iMod(\\n int(255.0 * texture2D(maskTexture,\\n vec2(\\n (float(i * 2 + j / 2) + 0.5) / 8.0,\\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n ))[3]\\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n 2\\n )) return true;\\n }\\n }\\n }\\n return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float x = 0.5 * sign(v) + 0.5;\\n float y = axisY(x, A, B, C, D);\\n float z = 1.0 - abs(v);\\n\\n z += isContext ? 0.0 : 2.0 * float(\\n outsideBoundingBox(A, B, C, D) ||\\n outsideRasterMask(A, B, C, D)\\n );\\n\\n return vec4(\\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n z,\\n 1.0\\n );\\n}\\n\\nvoid main() {\\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n float v = colors[3];\\n\\n gl_Position = position(isContext, v, A, B, C, D);\\n\\n fragColor =\\n isContext ? vec4(contextColor) :\\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;au&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&no._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function I(t,e){return 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Z=Y.selectAll(\".\"+y.cn.axisExtentBottom).data(g,d);Z.enter().append(\"g\").classed(y.cn.axisExtentBottom,!0),Z.attr(\"transform\",(function(t){return c(0,t.model.height+y.axisExtentOffset)}));var J=Z.selectAll(\".\"+y.cn.axisExtentBottomText).data(g,d);J.enter().append(\"text\").classed(y.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),J.text((function(t){return D(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(V,T)}},{\"../../components/colorscale\":378,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"./axisbrush\":889,\"./constants\":892,\"./helpers\":894,\"./lines\":896,\"@plotly/d3\":58,\"color-rgba\":91}],899:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\"),i=t(\"../../lib/prepare_regl\"),a=t(\"./helpers\").isVisible;function o(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}e.exports=function(t,e){var r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter((function(t){return!a(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":516,\"./helpers\":894,\"./parcoords\":898}],900:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;hMath.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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h={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;ry&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C=\"\";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;eb-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500,\"strongly-connected-components\":306}],919:[function(t,e,r){\"use 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n.coerce(g,m,i.node,t,e)}v(\"label\"),v(\"groups\"),v(\"x\"),v(\"y\"),v(\"pad\"),v(\"thickness\"),v(\"line.color\"),v(\"line.width\"),v(\"hoverinfo\",t.hoverinfo),l(g,m,v,d),v(\"hovertemplate\");var y=h.colorway;v(\"color\",m.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v(\"customdata\");var x=t.link||{},b=c.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function g(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function m(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(m(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(m(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":919,\"./render\":923,\"@plotly/d3\":58}],923:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,g=t(\"../../lib/gup\"),m=g.keyFun,v=g.repeat,y=g.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" 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a=e.layers.frontplot.select(\"g.scatterlayer\"),o={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},s=e.radialAxis,l=e.angularAxis,c=0;c=c&&(y.marker.cluster=d.tree),y.marker&&(y.markerSel.positions=y.markerUnsel.positions=y.marker.positions=_),y.line&&_.length>1&&l.extendFlat(y.line,s.linePositions(t,p,_)),y.text&&(l.extendFlat(y.text,{positions:_},s.textPosition(t,p,y.text,y.marker)),l.extendFlat(y.textSel,{positions:_},s.textPosition(t,p,y.text,y.markerSel)),l.extendFlat(y.textUnsel,{positions:_},s.textPosition(t,p,y.text,y.markerUnsel))),y.fill&&!h.fill2d&&(h.fill2d=!0),y.marker&&!h.scatter2d&&(h.scatter2d=!0),y.line&&!h.line2d&&(h.line2d=!0),y.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(y.line),h.fillOptions.push(y.fill),h.markerOptions.push(y.marker),h.markerSelectedOptions.push(y.markerSel),h.markerUnselectedOptions.push(y.markerUnsel),h.textOptions.push(y.text),h.textSelectedOptions.push(y.textSel),h.textUnselectedOptions.push(y.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=m,d.theta=v,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}}},{\"../../lib\":503,\"../scattergl/constants\":980,\"../scattergl/convert\":981,\"../scattergl/plot\":988,\"../scattergl/scene_update\":989,\"@plotly/point-cluster\":59,\"fast-isnumeric\":190}],1014:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../lib/extend\").extendFlat,o=t(\"../scatter/attributes\"),s=t(\"../../plots/attributes\"),l=o.line;e.exports={mode:o.mode,real:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},imag:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},text:o.text,texttemplate:i({editType:\"plot\"},{keys:[\"real\",\"imag\",\"text\"]}),hovertext:o.hovertext,line:{color:l.color,width:l.width,dash:l.dash,shape:a({},l.shape,{values:[\"linear\",\"spline\"]}),smoothing:l.smoothing,editType:\"calc\"},connectgaps:o.connectgaps,marker:o.marker,cliponaxis:a({},o.cliponaxis,{dflt:!1}),textposition:o.textposition,textfont:o.textfont,fill:a({},o.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:o.fillcolor,hoverinfo:a({},s.hoverinfo,{flags:[\"real\",\"imag\",\"text\",\"name\"]}),hoveron:o.hoveron,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":926}],1015:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\"),s=t(\"../scatter/calc_selection\"),l=t(\"../scatter/calc\").calcMarkerSize;e.exports=function(t,e){for(var r=t._fullLayout,c=e.subplot,u=r[c].realaxis,f=r[c].imaginaryaxis,h=u.makeCalcdata(e,\"real\"),p=f.makeCalcdata(e,\"imag\"),d=e._length,g=new Array(d),m=0;m\")}}e.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{\"../scatter/hover\":937}],1019:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"scattersmith\",basePlotModule:t(\"../../plots/smith\"),categories:[\"smith\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"../scatter/select\"),meta:{}}},{\"../../plots/smith\":629,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1014,\"./calc\":1015,\"./defaults\":1016,\"./format_labels\":1017,\"./hover\":1018,\"./plot\":1020}],1020:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../../plots/smith/helpers\").smith;e.exports=function(t,e,r){for(var o=e.layers.frontplot.select(\"g.scatterlayer\"),s={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},l=0;l\"),o.hovertemplate=h.hovertemplate,a}function x(t,e){v.push(t._hovertitle+\": \"+e)}}},{\"../scatter/hover\":937}],1027:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scatterternary\",basePlotModule:t(\"../../plots/ternary\"),categories:[\"ternary\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/ternary\":634,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1021,\"./calc\":1022,\"./defaults\":1023,\"./event_data\":1024,\"./format_labels\":1025,\"./hover\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\");e.exports=function(t,e,r){var i=e.plotContainer;i.select(\".scatterlayer\").selectAll(\"*\").remove();var a={xaxis:e.xaxis,yaxis:e.yaxis,plot:i,layerClipId:e._hasClipOnAxisFalse?e.clipIdRelative:null},o=e.layers.frontplot.select(\"g.scatterlayer\");n(t,a,r,o)}},{\"../scatter/plot\":947}],1029:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../scattergl/attributes\"),l=t(\"../../plots/cartesian/constants\").idRegex,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"../../lib/extend\").extendFlat,f=n.marker,h=f.line,p=u(i(\"marker.line\",{editTypeOverride:\"calc\"}),{width:u({},h.width,{editType:\"calc\"}),editType:\"calc\"}),d=u(i(\"marker\"),{symbol:f.symbol,size:u({},f.size,{editType:\"markerSize\"}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:f.opacity,colorbar:f.colorbar,line:p,editType:\"calc\"});function 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h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var 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g(t,e){if(t0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a_;)r--,r/=v(r),++r1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];ea&&(this.minValues[e]=a),this.maxValues[e]\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\"cubic-out\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\"cubic-out\",uplift:5,wrapSpacer:\" \",wrapSplitCharacter:\" 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e=0,r=0;r=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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f,h,p=u?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",g=u?null:T(t.calcdata.cells.format,e,r)||null,m=p+(g?a(g)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(f=w(m)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===f?w(m):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(\" \"===n.wrapSplitCharacter?m.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return u(0,e)})),t&&(C(t,r,e,c,n.prevPages,n,0),C(t,r,e,c,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===u}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value=\"\";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=!0})),o.selectAll(\"tspan.line\").remove(),_(o.select(\".\"+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(z)}}function I(t,e,r,a,o){return function(){if(!o.settledY){var 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),g=(u/=d)*e+a*r,m=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,g,m,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),g=Math.max(h,p,d);h===g?(s=s<0?-1:1,l=f=0):d===g?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var m=c(s,l,f);s/=m,l/=m,f/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var 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t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"bit-twiddle\":32,buffer:3,dup:65}],309:[function(t,e,r){\"use strict\";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e0&&(a=n.size),n.lineSpacing&&n.lineSpacing>0&&(o=n.lineSpacing),n.styletags&&n.styletags.breaklines&&(s.breaklines=!!n.styletags.breaklines),n.styletags&&n.styletags.bolds&&(s.bolds=!!n.styletags.bolds),n.styletags&&n.styletags.italics&&(s.italics=!!n.styletags.italics),n.styletags&&n.styletags.subscripts&&(s.subscripts=!!n.styletags.subscripts),n.styletags&&n.styletags.superscripts&&(s.superscripts=!!n.styletags.superscripts));return 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The validation for this example will fail by intention and thus return a report taht will be shown here. Such a report is returned as `Dict` and can be inspected either manually or programmatically. This was done to allow automation workflows to utilize validation." + "Once the YAML file is ready, validation can be done for an example `EnzymeMLDocument` found in this directory. The validation for this example will fail by intention and thus return a report that will be shown here. Such a report is returned as `Dict` and can be inspected either manually or programmatically. This was done to allow automation workflows to utilize validation." ] }, { diff --git a/examples/Visualisation/Visualisation.ipynb b/examples/Visualisation/Visualisation.ipynb index d55d268a..1f3d4d4f 100644 --- a/examples/Visualisation/Visualisation.ipynb +++ b/examples/Visualisation/Visualisation.ipynb @@ -52,7 +52,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -111,7 +111,7 @@ " * @author Feross Aboukhadijeh \n", " * @license MIT\n", " */\n", - "\"use strict\";var e=t(\"base64-js\"),n=t(\"ieee754\");r.Buffer=a,r.SlowBuffer=function(t){+t!=t&&(t=0);return a.alloc(+t)},r.INSPECT_MAX_BYTES=50;function i(t){if(t>2147483647)throw new RangeError('The value \"'+t+'\" is invalid for option \"size\"');var e=new Uint8Array(t);return e.__proto__=a.prototype,e}function a(t,e,r){if(\"number\"==typeof t){if(\"string\"==typeof e)throw new TypeError('The \"string\" argument must be of type string. 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Xr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Be(e.expression)};Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var Zr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Be(e.expression),this.interpolationType=n};function Jr(t,e){if(\"error\"===(t=Wr(t,e)).result)return t;var r=t.value.expression,n=Fe(r);if(!n&&!zr(e))return Or([new Dt(\"\",\"data expressions not supported\")]);var i=Ne(r,[\"zoom\"]);if(!i&&!Dr(e))return Or([new Dt(\"\",\"zoom expressions not supported\")]);var a=function t(e){var r=null;if(e instanceof cr)r=t(e.result);else if(e instanceof lr)for(var n=0,i=e.args;nn.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var 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t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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Qn(t,e){return!(!e&&Kn(t))&&!(t>=2304&&t<=3583||t>=3840&&t<=4255||Yn.Khmer(t))}function $n(t){for(var e=0,r=t;e-1&&(ai=ni),ii&&ii(t)};function li(){ci.fire(new Mt(\"pluginStateChange\",{pluginStatus:ai,pluginURL:oi}))}var ci=new Et,ui=function(){return ai},fi=function(){if(ai!==ti||!oi)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");ai=ei,li(),oi&&xt({url:oi},(function(t){t?si(t):(ai=ri,li())}))},hi={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return ai===ri||null!=hi.applyArabicShaping},isLoading:function(){return ai===ei},setState:function(t){ai=t.pluginStatus,oi=t.pluginURL},isParsed:function(){return null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return 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x(this._values[t].transition)},mi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].transition=x(e)||void 0},mi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);ethis.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);in.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new gi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new mi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return 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j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Co(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=Ws.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new qs(t)},e.prototype.queryRadius=function(t){var e=t,r=Zs(oo(\"line-width\",this,e),oo(\"line-gap-width\",this,e)),n=oo(\"line-offset\",this,e);return r/2+Math.abs(n)+so(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=lo(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*Zs(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a=3)for(var a=0;a0?e+2*t:t}var Js=Ii([{name:\"a_pos_offset\",components:4,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint16\"},{name:\"a_pixeloffset\",components:4,type:\"Int16\"}],4),Ks=Ii([{name:\"a_projected_pos\",components:3,type:\"Float32\"}],4),Qs=(Ii([{name:\"a_fade_opacity\",components:1,type:\"Uint32\"}],4),Ii([{name:\"a_placed\",components:2,type:\"Uint8\"},{name:\"a_shift\",components:2,type:\"Float32\"}])),$s=(Ii([{type:\"Int16\",name:\"anchorPointX\"},{type:\"Int16\",name:\"anchorPointY\"},{type:\"Int16\",name:\"x1\"},{type:\"Int16\",name:\"y1\"},{type:\"Int16\",name:\"x2\"},{type:\"Int16\",name:\"y2\"},{type:\"Uint32\",name:\"featureIndex\"},{type:\"Uint16\",name:\"sourceLayerIndex\"},{type:\"Uint16\",name:\"bucketIndex\"}]),Ii([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4)),tl=Ii([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);Ii([{name:\"triangle\",components:3,type:\"Uint16\"}]),Ii([{type:\"Int16\",name:\"anchorX\"},{type:\"Int16\",name:\"anchorY\"},{type:\"Uint16\",name:\"glyphStartIndex\"},{type:\"Uint16\",name:\"numGlyphs\"},{type:\"Uint32\",name:\"vertexStartIndex\"},{type:\"Uint32\",name:\"lineStartIndex\"},{type:\"Uint32\",name:\"lineLength\"},{type:\"Uint16\",name:\"segment\"},{type:\"Uint16\",name:\"lowerSize\"},{type:\"Uint16\",name:\"upperSize\"},{type:\"Float32\",name:\"lineOffsetX\"},{type:\"Float32\",name:\"lineOffsetY\"},{type:\"Uint8\",name:\"writingMode\"},{type:\"Uint8\",name:\"placedOrientation\"},{type:\"Uint8\",name:\"hidden\"},{type:\"Uint32\",name:\"crossTileID\"},{type:\"Int16\",name:\"associatedIconIndex\"}]),Ii([{type:\"Int16\",name:\"anchorX\"},{type:\"Int16\",name:\"anchorY\"},{type:\"Int16\",name:\"rightJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"centerJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"leftJustifiedTextSymbolIndex\"},{type:\"Int16\",name:\"verticalPlacedTextSymbolIndex\"},{type:\"Int16\",name:\"placedIconSymbolIndex\"},{type:\"Int16\",name:\"verticalPlacedIconSymbolIndex\"},{type:\"Uint16\",name:\"key\"},{type:\"Uint16\",name:\"textBoxStartIndex\"},{type:\"Uint16\",name:\"textBoxEndIndex\"},{type:\"Uint16\",name:\"verticalTextBoxStartIndex\"},{type:\"Uint16\",name:\"verticalTextBoxEndIndex\"},{type:\"Uint16\",name:\"iconBoxStartIndex\"},{type:\"Uint16\",name:\"iconBoxEndIndex\"},{type:\"Uint16\",name:\"verticalIconBoxStartIndex\"},{type:\"Uint16\",name:\"verticalIconBoxEndIndex\"},{type:\"Uint16\",name:\"featureIndex\"},{type:\"Uint16\",name:\"numHorizontalGlyphVertices\"},{type:\"Uint16\",name:\"numVerticalGlyphVertices\"},{type:\"Uint16\",name:\"numIconVertices\"},{type:\"Uint16\",name:\"numVerticalIconVertices\"},{type:\"Uint16\",name:\"useRuntimeCollisionCircles\"},{type:\"Uint32\",name:\"crossTileID\"},{type:\"Float32\",name:\"textBoxScale\"},{type:\"Float32\",components:2,name:\"textOffset\"},{type:\"Float32\",name:\"collisionCircleDiameter\"}]),Ii([{type:\"Float32\",name:\"offsetX\"}]),Ii([{type:\"Int16\",name:\"x\"},{type:\"Int16\",name:\"y\"},{type:\"Int16\",name:\"tileUnitDistanceFromAnchor\"}]);function el(t,e,r){return t.sections.forEach((function(t){t.text=function(t,e,r){var n=e.layout.get(\"text-transform\").evaluate(r,{});return\"uppercase\"===n?t=t.toLocaleUpperCase():\"lowercase\"===n&&(t=t.toLocaleLowerCase()),hi.applyArabicShaping&&(t=hi.applyArabicShaping(t)),t}(t.text,e,r)})),t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}ol.Varint=0,ol.Fixed64=1,ol.Bytes=2,ol.Fixed32=5;var sl=\"undefined\"==typeof TextDecoder?null:new TextDecoder(\"utf8\");function ll(t){return t.type===ol.Bytes?t.readVarint()+t.pos:t.pos+1}function cl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function ul(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function fl(t,e){for(var r=0;r>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function wl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}ol.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos>3,a=this.pos;this.type=7&n,t(i,e,this),this.pos===a&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=bl(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var 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n}(this.buf,e,t)},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==ol.Bytes)return t.push(this.readVarint(e));var r=ll(this);for(t=t||[];this.pos127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e268435455||t<0?function(t,e){var r,n;t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0));if(t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var 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a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},g=h.reduce(d,0),m=p.reduce(d,0),v=l-g,y=c-m,x=0,b=g,_=0,w=m,T=0,k=v,A=0,M=y;if(o.content&&n){var S=o.content;x=nc(h,0,S[0]),_=nc(p,0,S[1]),b=nc(h,S[0],S[2]),w=nc(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,a,l,c){var h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,g),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-A,M,a.stretch,m),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,g),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-A,M,c.stretch,m),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var 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r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return te?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;co)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,g=new lc([],fc);if(0===p)return new i(n,a);for(var m=n;my.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new hc(b.p.x-d,b.p.y-d,d,t)),g.push(new hc(b.p.x+d,b.p.y-d,d,t)),g.push(new hc(b.p.x-d,b.p.y+d,d,t)),g.push(new hc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: \"+x),console.log(\"best distance: \"+y.d)),y.p}function fc(t,e){return e.max-t.max}function hc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;it.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ro(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}lc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},lc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},lc.prototype.peek=function(){return this.data[0]},lc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},lc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. 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this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;gn)i=!1;else if(e)if(this.expirationTimeot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new fo(9);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new fo(4);return fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Wr,t.createLayout=Ii,t.createStyleLayer=function(t){return\"custom\"===t.type?new Dc(t):new Rc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new pi(h),o),c[\"text-size\"].possiblyEvaluate(new pi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,g=d.minZoom,m=d.maxZoom;u.compositeIconSizes=[c[\"icon-size\"].possiblyEvaluate(new pi(g),o),c[\"icon-size\"].possiblyEvaluate(new pi(m),o)]}u.layoutTextSize=c[\"text-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.layoutIconSize=c[\"icon-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.textMaxSize=c[\"text-size\"].possiblyEvaluate(new pi(18));for(var v=24*l.get(\"text-line-height\"),y=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),b=l.get(\"text-size\"),w=function(){var a=k[T],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),c=b.evaluate(a,{},o),f=u.layoutTextSize.evaluate(a,{},o),h=u.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,g=[0,0];if(d){var m=d.toString(),w=24*l.get(\"text-letter-spacing\").evaluate(a,{},o),A=function(t){for(var e=0,r=t;e=8192||f.y<0||f.y>=8192||function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,w,T,k,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),I=0,O=0,z=0,D=0,R=-1,F=-1,B={},N=ya(\"\"),j=0,U=0;void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(M=s.layout.get(\"text-offset\").evaluate(b,{},k).map((function(t){return 24*t})),j=M[0],U=M[1]):(j=24*s.layout.get(\"text-radial-offset\").evaluate(b,{},k),U=pc);if(t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(b,{},k)+90,H=n.vertical;L=new sc(l,e,c,u,f,H,h,p,d,V),o&&(C=new sc(l,e,c,u,f,o,m,v,d,V))}if(i){var q=s.layout.get(\"icon-rotate\").evaluate(b,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Y=rc(i,q,T,G),W=o?rc(o,q,T,G):void 0;E=new sc(l,e,c,u,f,i,m,v,!1,q),I=4*Y.length;var X=t.iconSizeData,Z=null;\"source\"===X.kind?(Z=[128*s.layout.get(\"icon-size\").evaluate(b,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'):\"composite\"===X.kind&&((Z=[128*w.compositeIconSizes[0].evaluate(b,{},k),128*w.compositeIconSizes[1].evaluate(b,{},k)])[0]>32640||Z[1]>32640)&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Y,Z,x,y,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,W&&(O=4*W.length,t.addSymbols(t.icon,W,Z,x,y,b,Cl.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=ya(K.text);var Q=s.layout.get(\"text-rotate\").evaluate(b,{},k);S=new sc(l,e,c,u,f,K,h,p,d,Q)}var $=1===K.positionedLines.length;if(z+=mc(t,e,K,a,s,d,b,g,P,n.vertical?Cl.horizontal:Cl.horizontalOnly,$?Object.keys(n.horizontal):[J],B,R,w,k),$)break}n.vertical&&(D+=mc(t,e,n.vertical,a,s,d,b,g,P,Cl.vertical,[\"vertical\"],B,F,w,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ct=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ct(S,lt),lt=ct(L,lt),lt=ct(E,lt);var ut=(lt=ct(C,lt))>-1?1:0;ut&&(lt*=A/24);t.glyphOffsetArray.length>=Mc.MAX_GLYPHS&&_(\"Too many glyphs being rendered in a tile. 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L=t.mapObject(m.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,I.call(l))})):h={};var C=Object.keys(m.iconDependencies);C.length?a.send(\"getImages\",{icons:C,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){f||(f=t,p=e,I.call(l))})):p={};var P=Object.keys(m.patternDependencies);function I(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in g){var l=g[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof 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r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new 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r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);fthis._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;vMath.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;vo*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var I=1;I0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;mt},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-yl&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(sMath.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)e.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\" \"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.ythis._map.transform.height-u?[\"bottom\"]:[],a.xthis._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since 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Xr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Be(e.expression)};Xr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Xr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var Zr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Be(e.expression),this.interpolationType=n};function Jr(t,e){if(\"error\"===(t=Wr(t,e)).result)return t;var r=t.value.expression,n=Fe(r);if(!n&&!zr(e))return Or([new Dt(\"\",\"data expressions not supported\")]);var i=Ne(r,[\"zoom\"]);if(!i&&!Dr(e))return Or([new Dt(\"\",\"zoom expressions not supported\")]);var a=function t(e){var r=null;if(e instanceof cr)r=t(e.result);else if(e instanceof lr)for(var n=0,i=e.args;nn.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var 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ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return 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V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,m,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,g=Math.max(G,g),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var zl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},Dl={};function Rl(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function Fl(t,e,r,n){var i=Math.pow(t-e,2);return n?t=0,f=0,h=0;h-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;sn;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=f.dist(h)}return!0}function Jl(t){for(var e=0,r=0;rc){var d=(c-l)/p,g=qe(f.x,h.x,d),m=qe(f.y,h.y,d),v=new ql(g,m,h.angleTo(f),u);return v._round(),!o||Zl(t,v,s,o,e)?v:void 0}l+=p}}function tc(t,e,r,n,i,a,o,s,l){var c=Kl(n,a,o),u=Ql(n,i),f=u*o,h=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-f=0&&_=0&&w=0&&p+u<=f){var T=new ql(_,w,x,g);T._round(),i&&!Zl(e,T,o,i,a)||d.push(T)}}h+=y}l||d.length||s||(d=t(e,h/2,n,i,a,o,s,!0,c));return d}(t,h?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,f,h,!1,l)}function ec(t,e,r,n,a){for(var o=[],s=0;s=n&&h.x>=n||(f.x>=n?f=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round():h.x>=n&&(h=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round()),f.y>=a&&h.y>=a||(f.y>=a?f=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round():h.y>=a&&(h=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round()),c&&f.equals(c[c.length-1])||(c=[f],o.push(c)),c.push(h)))))}return o}function rc(t,e,r,n){var a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},g=h.reduce(d,0),m=p.reduce(d,0),v=l-g,y=c-m,x=0,b=g,_=0,w=m,T=0,k=v,A=0,M=y;if(o.content&&n){var S=o.content;x=nc(h,0,S[0]),_=nc(p,0,S[1]),b=nc(h,S[0],S[2]),w=nc(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,a,l,c){var h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,g),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-A,M,a.stretch,m),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,g),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-A,M,c.stretch,m),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,H=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,g),C=ic(p,y,m),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var g=o.top*s-l,m=o.bottom*s+l,v=o.left*s-l,y=o.right*s+l,x=o.collisionPadding;if(x&&(v-=x[0]*s,g-=x[1]*s,y+=x[2]*s,m+=x[3]*s),u){var b=new i(v,g),_=new i(y,g),w=new i(v,m),T=new i(y,m),k=u*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),v=Math.min(b.x,_.x,w.x,T.x),y=Math.max(b.x,_.x,w.x,T.x),g=Math.min(b.y,_.y,w.y,T.y),m=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,v,g,y,m,r,n,a)}this.boxEndIndex=t.length},lc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=cc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return te?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;co)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,g=new lc([],fc);if(0===p)return new i(n,a);for(var m=n;my.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new hc(b.p.x-d,b.p.y-d,d,t)),g.push(new hc(b.p.x+d,b.p.y-d,d,t)),g.push(new hc(b.p.x-d,b.p.y+d,d,t)),g.push(new hc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: \"+x),console.log(\"best distance: \"+y.d)),y.p}function fc(t,e){return e.max-t.max}function hc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;it.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ro(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}lc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},lc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},lc.prototype.peek=function(){return this.data[0]},lc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},lc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=f;x=0;o--)if(n.dist(a[o])0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),g=0,m=t;g=0;for(var O=0,z=k.sections;O=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;gn)i=!1;else if(e)if(this.expirationTimeot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new fo(9);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new fo(4);return fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Wr,t.createLayout=Ii,t.createStyleLayer=function(t){return\"custom\"===t.type?new Dc(t):new Rc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new pi(h),o),c[\"text-size\"].possiblyEvaluate(new pi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,g=d.minZoom,m=d.maxZoom;u.compositeIconSizes=[c[\"icon-size\"].possiblyEvaluate(new pi(g),o),c[\"icon-size\"].possiblyEvaluate(new pi(m),o)]}u.layoutTextSize=c[\"text-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.layoutIconSize=c[\"icon-size\"].possiblyEvaluate(new pi(t.zoom+1),o),u.textMaxSize=c[\"text-size\"].possiblyEvaluate(new pi(18));for(var v=24*l.get(\"text-line-height\"),y=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),b=l.get(\"text-size\"),w=function(){var a=k[T],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),c=b.evaluate(a,{},o),f=u.layoutTextSize.evaluate(a,{},o),h=u.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,g=[0,0];if(d){var m=d.toString(),w=24*l.get(\"text-letter-spacing\").evaluate(a,{},o),A=function(t){for(var e=0,r=t;e=8192||f.y<0||f.y>=8192||function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,w,T,k,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),I=0,O=0,z=0,D=0,R=-1,F=-1,B={},N=ya(\"\"),j=0,U=0;void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(M=s.layout.get(\"text-offset\").evaluate(b,{},k).map((function(t){return 24*t})),j=M[0],U=M[1]):(j=24*s.layout.get(\"text-radial-offset\").evaluate(b,{},k),U=pc);if(t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(b,{},k)+90,H=n.vertical;L=new sc(l,e,c,u,f,H,h,p,d,V),o&&(C=new sc(l,e,c,u,f,o,m,v,d,V))}if(i){var q=s.layout.get(\"icon-rotate\").evaluate(b,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Y=rc(i,q,T,G),W=o?rc(o,q,T,G):void 0;E=new sc(l,e,c,u,f,i,m,v,!1,q),I=4*Y.length;var X=t.iconSizeData,Z=null;\"source\"===X.kind?(Z=[128*s.layout.get(\"icon-size\").evaluate(b,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'):\"composite\"===X.kind&&((Z=[128*w.compositeIconSizes[0].evaluate(b,{},k),128*w.compositeIconSizes[1].evaluate(b,{},k)])[0]>32640||Z[1]>32640)&&_(t.layerIds[0]+': Value for \"icon-size\" is >= 255. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Y,Z,x,y,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,W&&(O=4*W.length,t.addSymbols(t.icon,W,Z,x,y,b,Cl.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=ya(K.text);var Q=s.layout.get(\"text-rotate\").evaluate(b,{},k);S=new sc(l,e,c,u,f,K,h,p,d,Q)}var $=1===K.positionedLines.length;if(z+=mc(t,e,K,a,s,d,b,g,P,n.vertical?Cl.horizontal:Cl.horizontalOnly,$?Object.keys(n.horizontal):[J],B,R,w,k),$)break}n.vertical&&(D+=mc(t,e,n.vertical,a,s,d,b,g,P,Cl.vertical,[\"vertical\"],B,F,w,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ct=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ct(S,lt),lt=ct(L,lt),lt=ct(E,lt);var ut=(lt=ct(C,lt))>-1?1:0;ut&&(lt*=A/24);t.glyphOffsetArray.length>=Mc.MAX_GLYPHS&&_(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\");void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey);t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,c,z,D,I,O,ut,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,v,w,A,l,x,T,M,d,e,a,c,u,o)};if(\"line\"===S)for(var P=0,I=ec(e.geometry,0,0,8192,8192);P1){var V=$l(U,k,r.vertical||g,n,24,y);V&&C(U,V)}}else if(\"Polygon\"===e.type)for(var H=0,q=hs(e.geometry,0);H=E.maxzoom))if(\"none\"!==E.visibility)o(S,this.zoom,n),(g[E.id]=E.createBucket({index:u.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,m,this.tileID.canonical),u.bucketLayerIDs.push(S.map((function(t){return t.id})))}}}var L=t.mapObject(m.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,I.call(l))})):h={};var C=Object.keys(m.iconDependencies);C.length?a.send(\"getImages\",{icons:C,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){f||(f=t,p=e,I.call(l))})):p={};var P=Object.keys(m.patternDependencies);function I(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in g){var l=g[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(m,this.tileID.canonical,r.patternPositions))}this.status=\"done\",s(null,{buckets:t.values(g).filter((function(t){return!t.isEmpty()})),featureIndex:u,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send(\"getImages\",{icons:P,source:this.source,tileID:this.tileID,type:\"patterns\"},(function(t,e){f||(f=t,d=e,I.call(l))})):d={},I.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status=\"done\",n.loaded[i]=s,r(e);var l=a.rawData,c={};a.expires&&(c.expires=a.expires),a.cacheControl&&(c.cacheControl=a.cacheControl);var u={};if(o){var f=o.finish();f&&(u.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,c,u))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};\"parsing\"===o.status?o.reloadCallback=s:\"done\"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var c=t.window.ImageBitmap,u=function(){this.loaded={}};u.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=c&&a instanceof c?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},u.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},u.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,g=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,\"id\"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};g.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;!function t(e,r,n,i,a,o){for(;a>i;){if(a-i>600){var s=a-i+1,l=n-i+1,c=Math.log(s),u=.5*Math.exp(2*c/3),f=.5*Math.sqrt(c*u*(s-u)/s)*(l-s/2<0?-1:1),h=Math.max(i,Math.floor(n-l*u/s+f)),p=Math.min(a,Math.floor(n+(s-l)*u/s+f));t(e,r,n,h,p,o)}var d=r[2*n+o],g=i,m=a;for(z(e,r,i,n),r[2*a+o]>d&&z(e,r,i,a);gd;)m--}r[2*i+o]===d?z(e,r,i,m):(m++,z(e,r,m,a)),m<=n&&(i=m+1),n<=m&&(a=m-1)}}(t,e,o,n,i,a%2),O(t,e,r,n,o-1,a+1),O(t,e,r,o+1,i,a+1)}}function z(t,e,r,n){D(t,r,n),D(e,2*r,2*n),D(e,2*r+1,2*n+1)}function D(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function R(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var F=function(t){return t[0]},B=function(t){return t[1]},N=function(t,e,r,n,i){void 0===e&&(e=F),void 0===r&&(r=B),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&u.push(t[d]);else{var g=Math.floor((p+h)/2);s=e[2*g],l=e[2*g+1],s>=r&&s<=i&&l>=n&&l<=a&&u.push(t[g]);var m=(f+1)%2;(0===f?r<=s:n<=l)&&(c.push(p),c.push(g-1),c.push(m)),(0===f?i>=s:a>=l)&&(c.push(g+1),c.push(h),c.push(m))}}return u}(this.ids,this.coords,t,e,r,n,this.nodeSize)},N.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var c=o.pop(),u=o.pop(),f=o.pop();if(u-f<=a)for(var h=f;h<=u;h++)R(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+u)/2),d=e[2*p],g=e[2*p+1];R(d,g,r,n)<=l&&s.push(t[p]);var m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(f),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return X(X({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function W(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function X(t,e){for(var r in e)t[r]=e[r];return t}function Z(t){return t.x}function J(t){return t.y}function K(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function Q(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if(\"Point\"===r||\"MultiPoint\"===r||\"LineString\"===r)$(t,e);else if(\"Polygon\"===r||\"MultiLineString\"===r)for(var n=0;n0&&(o+=n?(i*c-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(c-a,2))),i=l,a=c}var u=e.length-3;e[2]=1,function t(e,r,n,i){for(var a,o=i,s=n-r>>1,l=n-r,c=e[r],u=e[r+1],f=e[n],h=e[n+1],p=r+3;po)a=p,o=d;else if(d===o){var g=Math.abs(p-s);gi&&(a-r>3&&t(e,r,a,i),e[a+2]=o,n-a>3&&t(e,a,n,i))}(e,0,u,r),e[u+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function nt(t,e,r,n){for(var i=0;i1?1:r}function ot(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],c=0;c=r&&d=n)){var g=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,g,r,n,i);else if(\"LineString\"===h)lt(f,g,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,g,r,n,i,!1);else if(\"Polygon\"===h)ut(f,g,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var m=0;m=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var s,l,c=ct(t),u=0===i?ht:pt,f=t.start,h=0;hr&&(l=u(c,p,d,m,v,r),o&&(c.start=f+s*l)):y>n?x=r&&(l=u(c,p,d,m,v,r),b=!0),x>n&&y<=n&&(l=u(c,p,d,m,v,n),b=!0),!a&&b&&(o&&(c.end=f+s*l),e.push(c),c=ct(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],g=t[_+2],(y=0===i?p:d)>=r&&y<=n&&ft(c,p,d,g),_=c.length-3,a&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&ft(c,c[0],c[1],c[2]),c.length&&e.push(c)}function ct(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ut(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function xt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u1?this._map(c,!0):null,m=(l<<5)+(e+1)+this.points.length,v=0,y=f;v>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requesters=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requesters;e=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);fthis._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;vMath.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;vo*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var I=1;I0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;mt},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-yl&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(sMath.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)e.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\" \"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.ythis._map.transform.height-u?[\"bottom\"]:[],a.xthis._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",g),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",g),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<=0)return 1<=-t},pointBetween:function(e,r,n){var i=e[1]-r[1],a=n[0]-r[0],o=e[0]-r[0],s=n[1]-r[1],l=o*a+i*s;return!(l-t)},pointsSameX:function(e,r){return Math.abs(e[0]-r[0])t!=o-i>t&&(a-c)*(i-u)/(o-u)+c-n>t&&(s=!s),a=c,o=u}return s}};return e}},{}],257:[function(t,e,r){var n={toPolygon:function(t,e){function r(e){if(e.length<=0)return t.segments({inverted:!1,regions:[]});function r(e){var r=e.slice(0,e.length-1);return t.segments({inverted:!1,regions:[r]})}for(var n=r(e[0]),i=1;i0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(h)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(h,d);if(t)return t}return!!g&&u(h,g)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=g?g.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=g?h.primary===g.primary?g.seg.otherFill.above:g.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!g&&g.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;othis.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],g=h,m=0;m0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;ce.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n1&&(h.variants=f.variants),f.orientation&&(h.orientation=f.orientation),f.exif_location&&f.exif_location.offset+f.exif_location.length<=t.length){var p=a(t,f.exif_location.offset),d=t.slice(f.exif_location.offset+p+4,f.exif_location.offset+f.exif_location.length),g=s.get_orientation(d);g>0&&(h.orientation=g)}return h}}}}}}},{\"../common\":262,\"../exif_utils\":263,\"../miaf_utils\":264}],266:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=n(\"BM\");e.exports=function(t){if(!(t.length<26)&&i(t,0,o))return{width:a(t,18),height:a(t,22),type:\"bmp\",mime:\"image/bmp\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],267:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=n(\"GIF87a\"),s=n(\"GIF89a\");e.exports=function(t){if(!(t.length<10)&&(i(t,0,o)||i(t,0,s)))return{width:a(t,6),height:a(t,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],268:[function(t,e,r){\"use strict\";var n=t(\"../common\").readUInt16LE;e.exports=function(t){var e=n(t,0),r=n(t,2),i=n(t,4);if(0===e&&1===r&&i){for(var a=[],o={width:0,height:0},s=0;so.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}},{\"../common\":262}],269:[function(t,e,r){\"use strict\";var n=t(\"../common\").readUInt16BE,i=t(\"../common\").str2arr,a=t(\"../common\").sliceEq,o=t(\"../exif_utils\"),s=i(\"Exif\\0\\0\");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1]&&255===t[2])for(var e=2;;){for(;;){if(t.length-e<2)return;if(255===t[e++])break}for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e0&&(c.orientation=i),c}e+=r}}},{\"../common\":262,\"../exif_utils\":263}],270:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"\\x89PNG\\r\\n\\x1a\\n\"),s=n(\"IHDR\");e.exports=function(t){if(!(t.length<24)&&i(t,0,o)&&i(t,12,s))return{width:a(t,16),height:a(t,20),type:\"png\",mime:\"image/png\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],271:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"8BPS\\0\\x01\");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:\"psd\",mime:\"image/vnd.adobe.photoshop\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],272:[function(t,e,r){\"use strict\";function n(t){return\"number\"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\\s/,o=/[^-]\\bwidth=\"([^%]+?)\"|[^-]\\bwidth='([^%]+?)'/,s=/\\bheight=\"([^%]+?)\"|\\bheight='([^%]+?)'/,l=/\\bview[bB]ox=\"(.+?)\"|\\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:\"px\"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r>14&16383),type:\"webp\",mime:\"image/webp\",wUnits:\"px\",hUnits:\"px\"}}}function h(t,e){return{width:1+(t[e+6]<<16|t[e+5]<<8|t[e+4]),height:1+(t[e+9]<t.length)){for(;e+8=10?r=r||u(t,e+8):\"VP8L\"===p&&d>=9?r=r||f(t,e+8):\"VP8X\"===p&&d>=10?r=r||h(t,e+8):\"EXIF\"===p&&(n=s.get_orientation(t.slice(e+8,e+8+d)),e=1/0),e+=8+d}else e++;if(r)return n>0&&(r.orientation=n),r}}}},{\"../common\":262,\"../exif_utils\":263}],275:[function(t,e,r){\"use strict\";e.exports={avif:t(\"./parse_sync/avif\"),bmp:t(\"./parse_sync/bmp\"),gif:t(\"./parse_sync/gif\"),ico:t(\"./parse_sync/ico\"),jpeg:t(\"./parse_sync/jpeg\"),png:t(\"./parse_sync/png\"),psd:t(\"./parse_sync/psd\"),svg:t(\"./parse_sync/svg\"),tiff:t(\"./parse_sync/tiff\"),webp:t(\"./parse_sync/webp\")}},{\"./parse_sync/avif\":265,\"./parse_sync/bmp\":266,\"./parse_sync/gif\":267,\"./parse_sync/ico\":268,\"./parse_sync/jpeg\":269,\"./parse_sync/png\":270,\"./parse_sync/psd\":271,\"./parse_sync/svg\":272,\"./parse_sync/tiff\":273,\"./parse_sync/webp\":274}],276:[function(t,e,r){\"use strict\";var n=t(\"./lib/parsers_sync\");e.exports=function(t){return function(t){for(var e=Object.keys(n),r=0;r1)for(var r=1;r1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,c){var u=x[c];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),u||(x[c]=u={id:c,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},y,t)),a(u,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n + positionFract * scale + translateFract\\n + position * scaleFract\\n + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=tthis.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":346,\"object-assign\":247}],337:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":346,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),f=t-this.toJD(l,u,1)+1;return this.newDate(l,u,f)}}),n.calendars.persian=a,n.calendars.jalali=a},{\"../main\":346,\"object-assign\":247}],343:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;oe-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||\"y\"!==n&&\"m\"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var 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n=t(\"../../plots/font_attributes\"),i=t(\"./layout_attributes\").hoverlabel,a=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0}),bordercolor:a({},i.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":493,\"../../plots/font_attributes\":585,\"./layout_attributes\":407}],398:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\");function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&&(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s=0&&r.index_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V=\"xval\"in e?v.flat(l,e.xval):v.p2c(_,at),H=\"yval\"in 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Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;oe.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;Ni.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m=0?at:ot+ct=0?ot:vt+ct=0?nt:it+ut=0?it:yt+ut=0,\"top\"!==t.idealAlign&&G||!Y?G?(z+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(z-=j/2,t.anchor=\"end\");else if(t.pos=z,G=P+N/2+W<=R,Y=P-N/2-W>=0,\"left\"!==t.idealAlign&&G||!Y)if(G)P+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var X=W/2,Z=P+X-R,J=P-X;Z>0&&(P-=Z),J<0&&(P+=-J)}else P-=N/2,t.anchor=\"end\";w.attr(\"text-anchor\",t.anchor),E&&A.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",s(P,z)+(c?l(_):\"\"))})),xt}function O(t,e,r,n,i,a){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=B(t.name,t.nameLength));var c=r.charAt(0),u=\"x\"===c?\"y\":\"x\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"
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n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||u){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,v,y=e.hLinePoint;n=y&&y.xa,\"cursor\"===(i=y&&y.ya).spikesnap?(m=c.pointerX,v=c.pointerY):(m=n._offset+y.x,v=i._offset+y.y);var x,b,_=a.readability(y.color,d)<1.5?p.contrast(d):y.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=m),-1!==w.indexOf(\"across\")){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s0&&P<0&&(P+=360);var I,O,z,D=(C+P)/2;if(!p){var R=d?f.projRotate:[D,0,0];I=r(\"projection.rotation.lon\",R[0]),r(\"projection.rotation.lat\",R[1]),r(\"projection.rotation.roll\",R[2]),r(\"showcoastlines\",!d&&x)&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),r(\"showocean\",!!x&&void 0)&&r(\"oceancolor\")}(p?(O=-96.6,z=38.7):(O=d?D:I,z=(L[0]+L[1])/2),r(\"center.lon\",O),r(\"center.lat\",z),g&&(r(\"projection.tilt\"),r(\"projection.distance\")),m)&&r(\"projection.parallels\",f.projParallels||[0,60]);r(\"projection.scale\"),r(\"showland\",!!x&&void 0)&&r(\"landcolor\"),r(\"showlakes\",!!x&&void 0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==u&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===u||\"north 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e=0,r=arguments.length,i=[];for(;++ed?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var g=180-a-2*p,m=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,m)<=b(r[0],r[1],g,v)?[a,m,r[2]]:[g,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;nMath.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n).999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var 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f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;ar.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"
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D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1120,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;aOpenStreetMap contributors',a=['\\xa9 Carto',i].join(\" \"),o=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under CC BY SA'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install mapbox-gl@1.10.1.\"].join(\"\\n\"),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\" Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",l.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(\"\\n\"),multipleTokensErrorMsg:[\"Set multiple mapbox access token across different mapbox subplot,\",\"using first token found as mapbox-gl does not allow multipleaccess tokens on the same page.\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",mapboxLogo:{path0:\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z\",path1:\"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=i.strTranslate,o=i.strScale,s=t(\"../../plots/get_data\").getSubplotCalcData,l=t(\"../../constants/xmlns_namespaces\"),c=t(\"@plotly/d3\"),u=t(\"../../components/drawing\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./mapbox\"),p=r.constants=t(\"./constants\");function d(t){return\"string\"==typeof t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l1&&i.warn(p.multipleTokensErrorMsg),n[0]):(a.length&&i.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}(t,a);n.accessToken=o;for(var l=0;l_/2){var w=v.split(\"|\").join(\"
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i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,g=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=m.makeDragger(f,\"path\",\"maindrag\",\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,g)),o=a-D,l=a+D;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function $(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=K(t,e),o=K(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=O(D,u,l,c);n=O(R,f,h[0][0],h[0][1]),i=O(R,f,h[1][0],h[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,g),x),tp?(t-1&&1===t&&_(e,u,[s.xaxis],[s.yaxis],s.id,W),r.indexOf(\"event\")>-1&&y.click(u,e,s.id)}W.prepFn=function(t,n,a){var l=u._fullLayout.dragmode,f=F.getBoundingClientRect();u._fullLayout._calcInverseTransform(u);var p=u._fullLayout._invTransform;e=u._fullLayout._invScaleX,r=u._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var v=E.findPolygonOffset(g,L[0],L[1],C);B+=A+v[0],N+=M+v[1]}switch(l){case\"zoom\":W.clickFn=st,c||(W.moveFn=C?it:rt,W.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),H=!1;var t=u._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=m.makeZoombox(h,q,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Y=m.makeCorners(h,T,k),w(u)}());break;case\"select\":case\"lasso\":b(t,n,a,W,l)}},v.init(W)},N.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,g=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(g.visible){var b,_,T,M=R(i.radialAxisAngle),E=g._rl,L=E[0],C=E[1],P=E[r],I=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var O,z,D,B=m.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};V(n.select(B),g.visible&&h0==(r?D>L:Dn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&\"linear\"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o0?1:0}function i(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function a(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function o(t,e){return e*t.radius}e.exports={smith:i,reactanceArc:function(t,e,r,n){var s=a(t,i([r,e])),l=s[0],c=s[1],u=a(t,i([n,e])),f=u[0],h=u[1];if(0===e)return[\"M\"+l+\",\"+c,\"L\"+f+\",\"+h].join(\" \");var p=o(t,1/Math.abs(e));return[\"M\"+l+\",\"+c,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+f+\",\"+h].join(\" \")},resistanceArc:function(t,e,r,s){var l=o(t,1/(e+1)),c=a(t,i([e,r])),u=c[0],f=c[1],h=a(t,i([e,s])),p=h[0],d=h[1];if(n(r)!==n(s)){var g=a(t,i([e,0]));return[\"M\"+u+\",\"+f,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=u&&(h.min=0,d.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function g(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,g=e._name.charAt(0).toUpperCase(),m=\"Component 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S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;iE*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var I=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",I),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",O),p.layers.bgrid.attr(\"transform\",O);var z=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",z),p.layers.agrid.attr(\"transform\",z);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+(\"outside\"===a.ticks?a.ticklen:0)+3;n[\"a-title\"]=b.draw(e,\"a\"+r,{propContainer:i,propName:this.id+\".aaxis.title\",placeholder:l(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=b.draw(e,\"b\"+r,{propContainer:a,propName:this.id+\".baxis.title\",placeholder:l(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=b.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:l(e,\"Click to enter Component C 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;z(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&m.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),g=(l/2+u)*M.w,m=(1-l/2-c)*M.w,y=(g+m)/2,x=m-g,_=(1-l)*M.h,w=_-x/E;x.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){z(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),O=!1))}function H(t,e){var 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":907}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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i._trace=a,a.update(e),t.glplot.add(i),a}}},{\"../../../stackgl_modules\":1120,\"../../components/colorscale\":378,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../../plots/gl3d/zip3\":609}],865:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./attributes\"),o=t(\"../../components/colorscale/defaults\");function s(t,e,r,n,a){var s=a(\"isomin\"),l=a(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a(\"x\"),u=a(\"y\"),f=a(\"z\"),h=a(\"value\");c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length?(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),a(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach((function(t){a(t+\"hoverformat\");var e=\"caps.\"+t;a(e+\".show\")&&a(e+\".fill\");var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var 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t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.yf.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragXp.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),ni?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){h(r,t,n,e)}},{\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_api\":540,\"@plotly/d3\":58,\"d3-interpolate\":116,tinycolor2:312}],887:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\"./parcats\":886}],888:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*fe){h=r;break}}if(a=u,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-c[f][1]t[1]+r||e=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[a],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),h(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"../../plots/domain\":584,\"./attributes\":888,\"./axisbrush\":889,\"./constants\":892,\"./merge_length\":897}],894:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return 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hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n return (\\n fOutside(p[0], lo[0], hi[0]) ||\\n fOutside(p[1], lo[1], hi[1]) ||\\n fOutside(p[2], lo[2], hi[2]) ||\\n fOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n return (\\n vOutside(p[0], lo[0], hi[0]) ||\\n vOutside(p[1], lo[1], hi[1]) ||\\n vOutside(p[2], lo[2], hi[2]) ||\\n vOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n return mOutside(A, loA, hiA) ||\\n mOutside(B, loB, hiB) ||\\n mOutside(C, loC, hiC) ||\\n mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n mat4 pnts[4];\\n pnts[0] = A;\\n pnts[1] = B;\\n pnts[2] = C;\\n pnts[3] = D;\\n\\n for(int i = 0; i < 4; ++i) {\\n for(int j = 0; j < 4; ++j) {\\n for(int k = 0; k < 4; ++k) {\\n if(0 == iMod(\\n int(255.0 * texture2D(maskTexture,\\n vec2(\\n (float(i * 2 + j / 2) + 0.5) / 8.0,\\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n ))[3]\\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n 2\\n )) return true;\\n }\\n }\\n }\\n return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float x = 0.5 * sign(v) + 0.5;\\n float y = axisY(x, A, B, C, D);\\n float z = 1.0 - abs(v);\\n\\n z += isContext ? 0.0 : 2.0 * float(\\n outsideBoundingBox(A, B, C, D) ||\\n outsideRasterMask(A, B, C, D)\\n );\\n\\n return vec4(\\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n z,\\n 1.0\\n );\\n}\\n\\nvoid main() {\\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n float v = colors[3];\\n\\n gl_Position = position(isContext, v, A, B, C, D);\\n\\n fragColor =\\n isContext ? vec4(contextColor) :\\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;au&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&no._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function I(t,e){return 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Z=Y.selectAll(\".\"+y.cn.axisExtentBottom).data(g,d);Z.enter().append(\"g\").classed(y.cn.axisExtentBottom,!0),Z.attr(\"transform\",(function(t){return c(0,t.model.height+y.axisExtentOffset)}));var J=Z.selectAll(\".\"+y.cn.axisExtentBottomText).data(g,d);J.enter().append(\"text\").classed(y.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),J.text((function(t){return D(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(V,T)}},{\"../../components/colorscale\":378,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"./axisbrush\":889,\"./constants\":892,\"./helpers\":894,\"./lines\":896,\"@plotly/d3\":58,\"color-rgba\":91}],899:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\"),i=t(\"../../lib/prepare_regl\"),a=t(\"./helpers\").isVisible;function o(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}e.exports=function(t,e){var r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter((function(t){return!a(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":516,\"./helpers\":894,\"./parcoords\":898}],900:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;hMath.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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h={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;ry&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C=\"\";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;eb-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500,\"strongly-connected-components\":306}],919:[function(t,e,r){\"use 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n.coerce(g,m,i.node,t,e)}v(\"label\"),v(\"groups\"),v(\"x\"),v(\"y\"),v(\"pad\"),v(\"thickness\"),v(\"line.color\"),v(\"line.width\"),v(\"hoverinfo\",t.hoverinfo),l(g,m,v,d),v(\"hovertemplate\");var y=h.colorway;v(\"color\",m.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v(\"customdata\");var x=t.link||{},b=c.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function g(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function m(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(m(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(m(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":919,\"./render\":923,\"@plotly/d3\":58}],923:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,g=t(\"../../lib/gup\"),m=g.keyFun,v=g.repeat,y=g.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" 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a=e.layers.frontplot.select(\"g.scatterlayer\"),o={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},s=e.radialAxis,l=e.angularAxis,c=0;c=c&&(y.marker.cluster=d.tree),y.marker&&(y.markerSel.positions=y.markerUnsel.positions=y.marker.positions=_),y.line&&_.length>1&&l.extendFlat(y.line,s.linePositions(t,p,_)),y.text&&(l.extendFlat(y.text,{positions:_},s.textPosition(t,p,y.text,y.marker)),l.extendFlat(y.textSel,{positions:_},s.textPosition(t,p,y.text,y.markerSel)),l.extendFlat(y.textUnsel,{positions:_},s.textPosition(t,p,y.text,y.markerUnsel))),y.fill&&!h.fill2d&&(h.fill2d=!0),y.marker&&!h.scatter2d&&(h.scatter2d=!0),y.line&&!h.line2d&&(h.line2d=!0),y.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(y.line),h.fillOptions.push(y.fill),h.markerOptions.push(y.marker),h.markerSelectedOptions.push(y.markerSel),h.markerUnselectedOptions.push(y.markerUnsel),h.textOptions.push(y.text),h.textSelectedOptions.push(y.textSel),h.textUnselectedOptions.push(y.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=m,d.theta=v,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}}},{\"../../lib\":503,\"../scattergl/constants\":980,\"../scattergl/convert\":981,\"../scattergl/plot\":988,\"../scattergl/scene_update\":989,\"@plotly/point-cluster\":59,\"fast-isnumeric\":190}],1014:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../lib/extend\").extendFlat,o=t(\"../scatter/attributes\"),s=t(\"../../plots/attributes\"),l=o.line;e.exports={mode:o.mode,real:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},imag:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},text:o.text,texttemplate:i({editType:\"plot\"},{keys:[\"real\",\"imag\",\"text\"]}),hovertext:o.hovertext,line:{color:l.color,width:l.width,dash:l.dash,shape:a({},l.shape,{values:[\"linear\",\"spline\"]}),smoothing:l.smoothing,editType:\"calc\"},connectgaps:o.connectgaps,marker:o.marker,cliponaxis:a({},o.cliponaxis,{dflt:!1}),textposition:o.textposition,textfont:o.textfont,fill:a({},o.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:o.fillcolor,hoverinfo:a({},s.hoverinfo,{flags:[\"real\",\"imag\",\"text\",\"name\"]}),hoveron:o.hoveron,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":926}],1015:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\"),s=t(\"../scatter/calc_selection\"),l=t(\"../scatter/calc\").calcMarkerSize;e.exports=function(t,e){for(var r=t._fullLayout,c=e.subplot,u=r[c].realaxis,f=r[c].imaginaryaxis,h=u.makeCalcdata(e,\"real\"),p=f.makeCalcdata(e,\"imag\"),d=e._length,g=new Array(d),m=0;m\")}}e.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{\"../scatter/hover\":937}],1019:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"scattersmith\",basePlotModule:t(\"../../plots/smith\"),categories:[\"smith\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"../scatter/select\"),meta:{}}},{\"../../plots/smith\":629,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1014,\"./calc\":1015,\"./defaults\":1016,\"./format_labels\":1017,\"./hover\":1018,\"./plot\":1020}],1020:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../../plots/smith/helpers\").smith;e.exports=function(t,e,r){for(var o=e.layers.frontplot.select(\"g.scatterlayer\"),s={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},l=0;l\"),o.hovertemplate=h.hovertemplate,a}function x(t,e){v.push(t._hovertitle+\": \"+e)}}},{\"../scatter/hover\":937}],1027:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scatterternary\",basePlotModule:t(\"../../plots/ternary\"),categories:[\"ternary\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/ternary\":634,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1021,\"./calc\":1022,\"./defaults\":1023,\"./event_data\":1024,\"./format_labels\":1025,\"./hover\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\");e.exports=function(t,e,r){var i=e.plotContainer;i.select(\".scatterlayer\").selectAll(\"*\").remove();var a={xaxis:e.xaxis,yaxis:e.yaxis,plot:i,layerClipId:e._hasClipOnAxisFalse?e.clipIdRelative:null},o=e.layers.frontplot.select(\"g.scatterlayer\");n(t,a,r,o)}},{\"../scatter/plot\":947}],1029:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../scattergl/attributes\"),l=t(\"../../plots/cartesian/constants\").idRegex,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"../../lib/extend\").extendFlat,f=n.marker,h=f.line,p=u(i(\"marker.line\",{editTypeOverride:\"calc\"}),{width:u({},h.width,{editType:\"calc\"}),editType:\"calc\"}),d=u(i(\"marker\"),{symbol:f.symbol,size:u({},f.size,{editType:\"markerSize\"}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:f.opacity,colorbar:f.colorbar,line:p,editType:\"calc\"});function 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h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var 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g(t,e){if(t0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a_;)r--,r/=v(r),++r1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];ea&&(this.minValues[e]=a),this.maxValues[e]\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\"cubic-out\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\"cubic-out\",uplift:5,wrapSpacer:\" \",wrapSplitCharacter:\" 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e=0,r=0;r=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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f,h,p=u?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",g=u?null:T(t.calcdata.cells.format,e,r)||null,m=p+(g?a(g)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(f=w(m)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===f?w(m):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(\" \"===n.wrapSplitCharacter?m.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return u(0,e)})),t&&(C(t,r,e,c,n.prevPages,n,0),C(t,r,e,c,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===u}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value=\"\";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=!0})),o.selectAll(\"tspan.line\").remove(),_(o.select(\".\"+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(z)}}function I(t,e,r,a,o){return function(){if(!o.settledY){var 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translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * 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startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n + positionFract * scale + translateFract\\n + position * scaleFract\\n + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var 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t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leap year:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Some\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leap year:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leap year(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leap year(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Some\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leap year:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leap year(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),f=t-this.toJD(l,u,1)+1;return this.newDate(l,u,f)}}),n.calendars.persian=a,n.calendars.jalali=a},{\"../main\":346,\"object-assign\":247}],343:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,i(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leap year:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leap year(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leap year(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leap year(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leap year(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leap year:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;ar)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;ne);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leap year:function(){return this._calendar.leap year(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leap year(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;oe-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||\"y\"!==n&&\"m\"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var 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n=t(\"../../plots/font_attributes\"),i=t(\"./layout_attributes\").hoverlabel,a=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0}),bordercolor:a({},i.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":493,\"../../plots/font_attributes\":585,\"./layout_attributes\":407}],398:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\");function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&&(e[0][r]=i(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s=0&&r.index_[0]._length||ot<0||ot>w[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=at+_[0]._offset,e.pointerY=ot+w[0]._offset,V=\"xval\"in e?v.flat(l,e.xval):v.p2c(_,at),H=\"yval\"in 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Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;oe.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;Ni.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m=0?at:ot+ct=0?ot:vt+ct=0?nt:it+ut=0?it:yt+ut=0,\"top\"!==t.idealAlign&&G||!Y?G?(z+=j/2,t.anchor=\"start\"):t.anchor=\"middle\":(z-=j/2,t.anchor=\"end\");else if(t.pos=z,G=P+N/2+W<=R,Y=P-N/2-W>=0,\"left\"!==t.idealAlign&&G||!Y)if(G)P+=N/2,t.anchor=\"start\";else{t.anchor=\"middle\";var X=W/2,Z=P+X-R,J=P-X;Z>0&&(P-=Z),J<0&&(P+=-J)}else P-=N/2,t.anchor=\"end\";w.attr(\"text-anchor\",t.anchor),E&&A.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",s(P,z)+(c?l(_):\"\"))})),xt}function O(t,e,r,n,i,a){var s=\"\",l=\"\";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=B(t.name,t.nameLength));var c=r.charAt(0),u=\"x\"===c?\"y\":\"x\";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+=\"x: \"+t.xLabel+\"
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n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||u){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,v,y=e.hLinePoint;n=y&&y.xa,\"cursor\"===(i=y&&y.ya).spikesnap?(m=c.pointerX,v=c.pointerY):(m=n._offset+y.x,v=i._offset+y.y);var x,b,_=a.readability(y.color,d)<1.5?p.contrast(d):y.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=m),-1!==w.indexOf(\"across\")){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s0&&P<0&&(P+=360);var I,O,z,D=(C+P)/2;if(!p){var R=d?f.projRotate:[D,0,0];I=r(\"projection.rotation.lon\",R[0]),r(\"projection.rotation.lat\",R[1]),r(\"projection.rotation.roll\",R[2]),r(\"showcoastlines\",!d&&x)&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),r(\"showocean\",!!x&&void 0)&&r(\"oceancolor\")}(p?(O=-96.6,z=38.7):(O=d?D:I,z=(L[0]+L[1])/2),r(\"center.lon\",O),r(\"center.lat\",z),g&&(r(\"projection.tilt\"),r(\"projection.distance\")),m)&&r(\"projection.parallels\",f.projParallels||[0,60]);r(\"projection.scale\"),r(\"showland\",!!x&&void 0)&&r(\"landcolor\"),r(\"showlakes\",!!x&&void 0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==u&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===u||\"north 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e=0,r=arguments.length,i=[];for(;++ed?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var g=180-a-2*p,m=(Math.atan2(h,u)-Math.atan2(c,i))*s,v=(Math.atan2(h,u)-Math.atan2(c,-i))*s;return b(r[0],r[1],a,m)<=b(r[0],r[1],g,v)?[a,m,r[2]]:[g,v,r[2]]}function b(t,e,r,n){var i=_(r-t),a=_(n-e);return Math.sqrt(i*i+a*a)}function _(t){return(t%360+540)%360-180}function w(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),c=Math.sin(n);return i[a]=t[a]*l-t[s]*c,i[s]=t[s]*l+t[a]*c,i}function T(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}function k(t,e){for(var r=0,n=0,i=t.length;nMath.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n).999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var 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f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;ar.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"
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D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1120,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;aOpenStreetMap contributors',a=['\\xa9 Carto',i].join(\" \"),o=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under CC BY SA'].join(\" \"),tiles:[\"https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-watercolor\",type:\"raster\",source:\"plotly-stamen-watercolor\",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:\"1.10.1\",styleUrlPrefix:\"mapbox://styles/mapbox/\",styleUrlSuffix:\"v9\",styleValuesMapbox:[\"basic\",\"streets\",\"outdoors\",\"light\",\"dark\",\"satellite\",\"satellite-streets\"],styleValueDflt:\"basic\",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:\"plotly-trace-layer-\",layoutLayerPrefix:\"plotly-layout-layer-\",wrongVersionErrorMsg:[\"Your custom plotly.js bundle is not using the correct mapbox-gl version\",\"Please install mapbox-gl@1.10.1.\"].join(\"\\n\"),noAccessTokenErrorMsg:[\"Missing Mapbox access token.\",\"Mapbox trace type require a Mapbox access token to be registered.\",\"For example:\",\" Plotly.newPlot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });\",\"More info here: https://www.mapbox.com/help/define-access-token/\"].join(\"\\n\"),missingStyleErrorMsg:[\"No valid mapbox style found, please set `mapbox.style` to one of:\",l.join(\", \"),\"or register a Mapbox access token to use a Mapbox-served style.\"].join(\"\\n\"),multipleTokensErrorMsg:[\"Set multiple mapbox access token across different mapbox subplot,\",\"using first token found as mapbox-gl does not allow multipleaccess tokens on the same page.\"].join(\"\\n\"),mapOnErrorMsg:\"Mapbox error.\",mapboxLogo:{path0:\"m 10.5,1.24 c -5.11,0 -9.25,4.15 -9.25,9.25 0,5.1 4.15,9.25 9.25,9.25 5.1,0 9.25,-4.15 9.25,-9.25 0,-5.11 -4.14,-9.25 -9.25,-9.25 z m 4.39,11.53 c -1.93,1.93 -4.78,2.31 -6.7,2.31 -0.7,0 -1.41,-0.05 -2.1,-0.16 0,0 -1.02,-5.64 2.14,-8.81 0.83,-0.83 1.95,-1.28 3.13,-1.28 1.27,0 2.49,0.51 3.39,1.42 1.84,1.84 1.89,4.75 0.14,6.52 z\",path1:\"M 10.5,-0.01 C 4.7,-0.01 0,4.7 0,10.49 c 0,5.79 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=i.strTranslate,o=i.strScale,s=t(\"../../plots/get_data\").getSubplotCalcData,l=t(\"../../constants/xmlns_namespaces\"),c=t(\"@plotly/d3\"),u=t(\"../../components/drawing\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./mapbox\"),p=r.constants=t(\"./constants\");function d(t){return\"string\"==typeof t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l1&&i.warn(p.multipleTokensErrorMsg),n[0]):(a.length&&i.log([\"Listed mapbox access token(s)\",a.join(\",\"),\"but did not use a Mapbox map style, ignoring token(s).\"].join(\" \")),\"\")}(t,a);n.accessToken=o;for(var l=0;l_/2){var w=v.split(\"|\").join(\"
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i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,g=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=m.makeDragger(f,\"path\",\"maindrag\",\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,g)),o=a-D,l=a+D;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function $(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=K(t,e),o=K(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=O(D,u,l,c);n=O(R,f,h[0][0],h[0][1]),i=O(R,f,h[1][0],h[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,g),x),tp?(t-1&&1===t&&_(e,u,[s.xaxis],[s.yaxis],s.id,W),r.indexOf(\"event\")>-1&&y.click(u,e,s.id)}W.prepFn=function(t,n,a){var l=u._fullLayout.dragmode,f=F.getBoundingClientRect();u._fullLayout._calcInverseTransform(u);var p=u._fullLayout._invTransform;e=u._fullLayout._invScaleX,r=u._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var v=E.findPolygonOffset(g,L[0],L[1],C);B+=A+v[0],N+=M+v[1]}switch(l){case\"zoom\":W.clickFn=st,c||(W.moveFn=C?it:rt,W.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),H=!1;var t=u._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=m.makeZoombox(h,q,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Y=m.makeCorners(h,T,k),w(u)}());break;case\"select\":case\"lasso\":b(t,n,a,W,l)}},v.init(W)},N.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,g=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(g.visible){var b,_,T,M=R(i.radialAxisAngle),E=g._rl,L=E[0],C=E[1],P=E[r],I=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var O,z,D,B=m.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};V(n.select(B),g.visible&&h0==(r?D>L:Dn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,c=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&\"linear\"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o0?1:0}function i(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function a(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function o(t,e){return e*t.radius}e.exports={smith:i,reactanceArc:function(t,e,r,n){var s=a(t,i([r,e])),l=s[0],c=s[1],u=a(t,i([n,e])),f=u[0],h=u[1];if(0===e)return[\"M\"+l+\",\"+c,\"L\"+f+\",\"+h].join(\" \");var p=o(t,1/Math.abs(e));return[\"M\"+l+\",\"+c,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+f+\",\"+h].join(\" \")},resistanceArc:function(t,e,r,s){var l=o(t,1/(e+1)),c=a(t,i([e,r])),u=c[0],f=c[1],h=a(t,i([e,s])),p=h[0],d=h[1];if(n(r)!==n(s)){var g=a(t,i([e,0]));return[\"M\"+u+\",\"+f,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=u&&(h.min=0,d.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function g(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,g=e._name.charAt(0).toUpperCase(),m=\"Component 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S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;iE*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var I=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",I),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",O),p.layers.bgrid.attr(\"transform\",O);var z=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",z),p.layers.agrid.attr(\"transform\",z);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+(\"outside\"===a.ticks?a.ticklen:0)+3;n[\"a-title\"]=b.draw(e,\"a\"+r,{propContainer:i,propName:this.id+\".aaxis.title\",placeholder:l(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=b.draw(e,\"b\"+r,{propContainer:a,propName:this.id+\".baxis.title\",placeholder:l(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=b.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:l(e,\"Click to enter Component C 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;z(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&m.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),g=(l/2+u)*M.w,m=(1-l/2-c)*M.w,y=(g+m)/2,x=m-g,_=(1-l)*M.h,w=_-x/E;x.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){z(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),O=!1))}function H(t,e){var 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":907}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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i._trace=a,a.update(e),t.glplot.add(i),a}}},{\"../../../stackgl_modules\":1120,\"../../components/colorscale\":378,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../../plots/gl3d/zip3\":609}],865:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./attributes\"),o=t(\"../../components/colorscale/defaults\");function s(t,e,r,n,a){var s=a(\"isomin\"),l=a(\"isomax\");null!=l&&null!=s&&s>l&&(e.isomin=null,e.isomax=null);var c=a(\"x\"),u=a(\"y\"),f=a(\"z\"),h=a(\"value\");c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length?(i.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],n),a(\"valuehoverformat\"),[\"x\",\"y\",\"z\"].forEach((function(t){a(t+\"hoverformat\");var e=\"caps.\"+t;a(e+\".show\")&&a(e+\".fill\");var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var 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t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.yf.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragXp.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),ni?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){h(r,t,n,e)}},{\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_api\":540,\"@plotly/d3\":58,\"d3-interpolate\":116,tinycolor2:312}],887:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\"./parcats\":886}],888:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*fe){h=r;break}}if(a=u,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-c[f][1]t[1]+r||e=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[a],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),h(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"../../plots/domain\":584,\"./attributes\":888,\"./axisbrush\":889,\"./constants\":892,\"./merge_length\":897}],894:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return 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hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n return (\\n fOutside(p[0], lo[0], hi[0]) ||\\n fOutside(p[1], lo[1], hi[1]) ||\\n fOutside(p[2], lo[2], hi[2]) ||\\n fOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n return (\\n vOutside(p[0], lo[0], hi[0]) ||\\n vOutside(p[1], lo[1], hi[1]) ||\\n vOutside(p[2], lo[2], hi[2]) ||\\n vOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n return mOutside(A, loA, hiA) ||\\n mOutside(B, loB, hiB) ||\\n mOutside(C, loC, hiC) ||\\n mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n mat4 pnts[4];\\n pnts[0] = A;\\n pnts[1] = B;\\n pnts[2] = C;\\n pnts[3] = D;\\n\\n for(int i = 0; i < 4; ++i) {\\n for(int j = 0; j < 4; ++j) {\\n for(int k = 0; k < 4; ++k) {\\n if(0 == iMod(\\n int(255.0 * texture2D(maskTexture,\\n vec2(\\n (float(i * 2 + j / 2) + 0.5) / 8.0,\\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n ))[3]\\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n 2\\n )) return true;\\n }\\n }\\n }\\n return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float x = 0.5 * sign(v) + 0.5;\\n float y = axisY(x, A, B, C, D);\\n float z = 1.0 - abs(v);\\n\\n z += isContext ? 0.0 : 2.0 * float(\\n outsideBoundingBox(A, B, C, D) ||\\n outsideRasterMask(A, B, C, D)\\n );\\n\\n return vec4(\\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n z,\\n 1.0\\n );\\n}\\n\\nvoid main() {\\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n float v = colors[3];\\n\\n gl_Position = position(isContext, v, A, B, C, D);\\n\\n fragColor =\\n isContext ? vec4(contextColor) :\\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;au&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&no._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function I(t,e){return 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Z=Y.selectAll(\".\"+y.cn.axisExtentBottom).data(g,d);Z.enter().append(\"g\").classed(y.cn.axisExtentBottom,!0),Z.attr(\"transform\",(function(t){return c(0,t.model.height+y.axisExtentOffset)}));var J=Z.selectAll(\".\"+y.cn.axisExtentBottomText).data(g,d);J.enter().append(\"text\").classed(y.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),J.text((function(t){return D(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(V,T)}},{\"../../components/colorscale\":378,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"./axisbrush\":889,\"./constants\":892,\"./helpers\":894,\"./lines\":896,\"@plotly/d3\":58,\"color-rgba\":91}],899:[function(t,e,r){\"use strict\";var n=t(\"./parcoords\"),i=t(\"../../lib/prepare_regl\"),a=t(\"./helpers\").isVisible;function o(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}e.exports=function(t,e){var r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter((function(t){return!a(t)})).sort((function(t){return l[e].indexOf(t)})).forEach((function(t){s[e].splice(s[e].indexOf(t),1),s[e].splice(l[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[s[e]]},[u[e]]])}})}}},{\"../../lib/prepare_regl\":516,\"./helpers\":894,\"./parcoords\":898}],900:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;hMath.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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h={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;ry&&(y=a.source[e]),a.target[e]>y&&(y=a.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C=\"\";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var I=b+_.length,O=o(r.color),z=o(r.customdata),D=[];for(e=0;eb-1,childrenNodes:[],pointNumber:e,label:R,color:O?r.color[e]:r.color,customdata:z?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o1}))}(I,M.source,M.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500,\"strongly-connected-components\":306}],919:[function(t,e,r){\"use 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n.coerce(g,m,i.node,t,e)}v(\"label\"),v(\"groups\"),v(\"x\"),v(\"y\"),v(\"pad\"),v(\"thickness\"),v(\"line.color\"),v(\"line.width\"),v(\"hoverinfo\",t.hoverinfo),l(g,m,v,d),v(\"hovertemplate\");var y=h.colorway;v(\"color\",m.label.map((function(t,e){return a.addOpacity(function(t){return y[t%y.length]}(e),.8)}))),v(\"customdata\");var x=t.link||{},b=c.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function g(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function m(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(m(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(m(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":919,\"./render\":923,\"@plotly/d3\":58}],923:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,g=t(\"../../lib/gup\"),m=g.keyFun,v=g.repeat,y=g.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" 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a=e.layers.frontplot.select(\"g.scatterlayer\"),o={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},s=e.radialAxis,l=e.angularAxis,c=0;c=c&&(y.marker.cluster=d.tree),y.marker&&(y.markerSel.positions=y.markerUnsel.positions=y.marker.positions=_),y.line&&_.length>1&&l.extendFlat(y.line,s.linePositions(t,p,_)),y.text&&(l.extendFlat(y.text,{positions:_},s.textPosition(t,p,y.text,y.marker)),l.extendFlat(y.textSel,{positions:_},s.textPosition(t,p,y.text,y.markerSel)),l.extendFlat(y.textUnsel,{positions:_},s.textPosition(t,p,y.text,y.markerUnsel))),y.fill&&!h.fill2d&&(h.fill2d=!0),y.marker&&!h.scatter2d&&(h.scatter2d=!0),y.line&&!h.line2d&&(h.line2d=!0),y.text&&!h.glText&&(h.glText=!0),h.lineOptions.push(y.line),h.fillOptions.push(y.fill),h.markerOptions.push(y.marker),h.markerSelectedOptions.push(y.markerSel),h.markerUnselectedOptions.push(y.markerUnsel),h.textOptions.push(y.text),h.textSelectedOptions.push(y.textSel),h.textUnselectedOptions.push(y.textUnsel),h.selectBatch.push([]),h.unselectBatch.push([]),d.x=w,d.y=T,d.rawx=w,d.rawy=T,d.r=m,d.theta=v,d.positions=_,d._scene=h,d.index=h.count,h.count++}})),a(t,e,r)}}},{\"../../lib\":503,\"../scattergl/constants\":980,\"../scattergl/convert\":981,\"../scattergl/plot\":988,\"../scattergl/scene_update\":989,\"@plotly/point-cluster\":59,\"fast-isnumeric\":190}],1014:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../lib/extend\").extendFlat,o=t(\"../scatter/attributes\"),s=t(\"../../plots/attributes\"),l=o.line;e.exports={mode:o.mode,real:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},imag:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},text:o.text,texttemplate:i({editType:\"plot\"},{keys:[\"real\",\"imag\",\"text\"]}),hovertext:o.hovertext,line:{color:l.color,width:l.width,dash:l.dash,shape:a({},l.shape,{values:[\"linear\",\"spline\"]}),smoothing:l.smoothing,editType:\"calc\"},connectgaps:o.connectgaps,marker:o.marker,cliponaxis:a({},o.cliponaxis,{dflt:!1}),textposition:o.textposition,textfont:o.textfont,fill:a({},o.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:o.fillcolor,hoverinfo:a({},s.hoverinfo,{flags:[\"real\",\"imag\",\"text\",\"name\"]}),hoveron:o.hoveron,hovertemplate:n(),selected:o.selected,unselected:o.unselected}},{\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":926}],1015:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/colorscale_calc\"),o=t(\"../scatter/arrays_to_calcdata\"),s=t(\"../scatter/calc_selection\"),l=t(\"../scatter/calc\").calcMarkerSize;e.exports=function(t,e){for(var r=t._fullLayout,c=e.subplot,u=r[c].realaxis,f=r[c].imaginaryaxis,h=u.makeCalcdata(e,\"real\"),p=f.makeCalcdata(e,\"imag\"),d=e._length,g=new Array(d),m=0;m\")}}e.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,c=s.cd[s.index],u=s.trace;if(l.isPtInside(c))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(c,u,l,s),s.hovertemplate=u.hovertemplate,o}},makeHoverPointText:i}},{\"../scatter/hover\":937}],1019:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"scattersmith\",basePlotModule:t(\"../../plots/smith\"),categories:[\"smith\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"../scatter/select\"),meta:{}}},{\"../../plots/smith\":629,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1014,\"./calc\":1015,\"./defaults\":1016,\"./format_labels\":1017,\"./hover\":1018,\"./plot\":1020}],1020:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../../plots/smith/helpers\").smith;e.exports=function(t,e,r){for(var o=e.layers.frontplot.select(\"g.scatterlayer\"),s={xaxis:e.xaxis,yaxis:e.yaxis,plot:e.framework,layerClipId:e._hasClipOnAxisFalse?e.clipIds.forTraces:null},l=0;l\"),o.hovertemplate=h.hovertemplate,a}function x(t,e){v.push(t._hovertitle+\": \"+e)}}},{\"../scatter/hover\":937}],1027:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scatterternary\",basePlotModule:t(\"../../plots/ternary\"),categories:[\"ternary\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/ternary\":634,\"../scatter/marker_colorbar\":944,\"../scatter/select\":948,\"../scatter/style\":950,\"./attributes\":1021,\"./calc\":1022,\"./defaults\":1023,\"./event_data\":1024,\"./format_labels\":1025,\"./hover\":1026,\"./plot\":1028}],1028:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\");e.exports=function(t,e,r){var i=e.plotContainer;i.select(\".scatterlayer\").selectAll(\"*\").remove();var a={xaxis:e.xaxis,yaxis:e.yaxis,plot:i,layerClipId:e._hasClipOnAxisFalse?e.clipIdRelative:null},o=e.layers.frontplot.select(\"g.scatterlayer\");n(t,a,r,o)}},{\"../scatter/plot\":947}],1029:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../scattergl/attributes\"),l=t(\"../../plots/cartesian/constants\").idRegex,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"../../lib/extend\").extendFlat,f=n.marker,h=f.line,p=u(i(\"marker.line\",{editTypeOverride:\"calc\"}),{width:u({},h.width,{editType:\"calc\"}),editType:\"calc\"}),d=u(i(\"marker\"),{symbol:f.symbol,size:u({},f.size,{editType:\"markerSize\"}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:f.opacity,colorbar:f.colorbar,line:p,editType:\"calc\"});function 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h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var 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g(t,e){if(t0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a_;)r--,r/=v(r),++r1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];ea&&(this.minValues[e]=a),this.maxValues[e]\",maxDimensionCount:60,overdrag:45,releaseTransitionDuration:120,releaseTransitionEase:\"cubic-out\",scrollbarCaptureWidth:18,scrollbarHideDelay:1e3,scrollbarHideDuration:1e3,scrollbarOffset:5,scrollbarWidth:8,transitionDuration:100,transitionEase:\"cubic-out\",uplift:5,wrapSpacer:\" \",wrapSplitCharacter:\" 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e=0,r=0;r=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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f,h,p=u?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=u?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",g=u?null:T(t.calcdata.cells.format,e,r)||null,m=p+(g?a(g)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!u&&(f=w(m)),t.cellHeightMayIncrease=s||u||t.mayHaveMarkup||(void 0===f?w(m):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var v=(\" \"===n.wrapSplitCharacter?m.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return u(0,e)})),t&&(C(t,r,e,c,n.prevPages,n,0),C(t,r,e,c,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),c=r||s.scrollbarState.dragMultiplier,u=s.scrollY;s.scrollY=void 0===a?s.scrollY+c*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===u}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var r,i,a=e[e.length-1].width,s=e.slice(0,-1),l=[],c=0,u=t.column.columnWidth-2*n.cellPad;for(t.value=\"\";s.length;)c+(i=(r=s.shift()).width+a)>u&&(t.value+=l.join(n.wrapSpacer)+n.lineBreaker,l=[],c=0),l.push(r.text),c+=i;c&&(t.value+=l.join(n.wrapSpacer)),t.wrapped=!0})),o.selectAll(\"tspan.line\").remove(),_(o.select(\".\"+n.cn.cellText),r,t,a),i.select(e.parentNode.parentNode).call(z)}}function I(t,e,r,a,o){return function(){if(!o.settledY){var 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),g=(u/=d)*e+a*r,m=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,g,m,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),g=Math.max(h,p,d);h===g?(s=s<0?-1:1,l=f=0):d===g?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var m=c(s,l,f);s/=m,l/=m,f/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var 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t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"bit-twiddle\":32,buffer:3,dup:65}],309:[function(t,e,r){\"use strict\";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e0&&(a=n.size),n.lineSpacing&&n.lineSpacing>0&&(o=n.lineSpacing),n.styletags&&n.styletags.breaklines&&(s.breaklines=!!n.styletags.breaklines),n.styletags&&n.styletags.bolds&&(s.bolds=!!n.styletags.bolds),n.styletags&&n.styletags.italics&&(s.italics=!!n.styletags.italics),n.styletags&&n.styletags.subscripts&&(s.subscripts=!!n.styletags.subscripts),n.styletags&&n.styletags.superscripts&&(s.superscripts=!!n.styletags.superscripts));return 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Dockerfile | 18 - pyenzyme/__init__.py | 89 +- pyenzyme/enzymeml/__init__.py | 18 - pyenzyme/enzymeml/core/__init__.py | 19 - pyenzyme/enzymeml/core/abstract_classes.py | 69 - pyenzyme/enzymeml/core/complex.py | 119 -- pyenzyme/enzymeml/core/creator.py | 68 - pyenzyme/enzymeml/core/enzymemlbase.py | 134 -- pyenzyme/enzymeml/core/enzymemldocument.py | 1847 ----------------- pyenzyme/enzymeml/core/enzymereaction.py | 732 ------- pyenzyme/enzymeml/core/exceptions.py | 92 - pyenzyme/enzymeml/core/measurement.py | 475 ----- pyenzyme/enzymeml/core/measurementData.py | 195 -- pyenzyme/enzymeml/core/ontology.py | 89 - pyenzyme/enzymeml/core/protein.py | 259 --- pyenzyme/enzymeml/core/reactant.py | 211 -- pyenzyme/enzymeml/core/replicate.py | 152 -- pyenzyme/enzymeml/core/unitdef.py | 295 --- pyenzyme/enzymeml/core/utils.py | 27 - pyenzyme/enzymeml/core/vessel.py | 110 - pyenzyme/enzymeml/databases/__init__.py | 7 - pyenzyme/enzymeml/databases/dataverse.py | 274 --- pyenzyme/enzymeml/models/__init__.py | 12 - pyenzyme/enzymeml/models/kineticmodel.py | 426 ---- pyenzyme/enzymeml/models/michaelismenten.py | 107 - pyenzyme/enzymeml/tools/__init__.py | 17 - pyenzyme/enzymeml/tools/enzymemlreader.py | 939 --------- pyenzyme/enzymeml/tools/enzymemlwriter.py | 1031 --------- pyenzyme/enzymeml/tools/templatereader.py | 357 ---- pyenzyme/enzymeml/tools/unitcreator.py | 220 -- pyenzyme/enzymeml/tools/unitparser.py | 124 -- pyenzyme/enzymeml/tools/validator.py | 746 ------- pyenzyme/thinlayers/TL_Base.py | 65 - pyenzyme/thinlayers/TL_Copasi.py | 463 ----- pyenzyme/thinlayers/TL_Pysces.py | 375 ---- pyenzyme/thinlayers/TL_Strenda.py | 269 --- pyenzyme/thinlayers/__init__.py | 10 - pyenzyme/utils/__init__.py | 0 pyenzyme/utils/log.py | 73 - pyenzyme/utils/rest_examples.py | 174 -- pyenzyme_server.py | 405 ---- requirements.txt | 23 - setup.py | 64 - tests/enzymeml/__init__.py | 0 tests/enzymeml/core/__init__.py | 0 tests/enzymeml/core/test_abstract_classes.py | 40 - tests/enzymeml/core/test_complex.py | 35 - tests/enzymeml/core/test_creator.py | 31 - tests/enzymeml/core/test_enzymemldocument.py | 286 --- tests/enzymeml/core/test_enzymereaction.py | 402 ---- tests/enzymeml/core/test_measurement.py | 220 -- tests/enzymeml/core/test_measurement_data.py | 80 - tests/enzymeml/core/test_protein.py | 48 - tests/enzymeml/core/test_reactant.py | 44 - tests/enzymeml/core/test_replicate.py | 63 - tests/enzymeml/core/test_vessel.py | 36 - tests/enzymeml/models/__init__.py | 0 tests/enzymeml/models/test_kineticlaw.py | 134 -- tests/enzymeml/tools/__init__.py | 0 tests/enzymeml/tools/test_templatereader.py | 15 - tests/enzymeml/tools/test_unitcreator.py | 250 --- tests/enzymeml/tools/test_validator.py | 198 -- tests/fixtures/EnzymeML_Template_Example.xlsm | Bin 98325 -> 0 bytes tests/fixtures/enzmldoc_object.json | 219 -- tests/fixtures/measurement_data_object.json | 30 - tests/fixtures/measurement_object.json | 82 - tests/fixtures/reaction_object.json | 49 - tests/fixtures/replicate_object.json | 22 - 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-# Required -version: 2 - -# Set the version of Python and other tools you might need -build: - os: ubuntu-20.04 - tools: - python: '3.9' - -# Build documentation in the docs/ directory with Sphinx -sphinx: - configuration: docs/conf.py - -# Optionally declare the Python requirements required to build your docs -python: - install: - - requirements: docs/requirements.txt - - method: pip - path: . diff --git a/Dockerfile b/Dockerfile deleted file mode 100644 index e2235775..00000000 --- a/Dockerfile +++ /dev/null @@ -1,18 +0,0 @@ -FROM python:3.9 -WORKDIR /app - -COPY . /app - -RUN apt-get update \ - && apt-get install -y --no-install-recommends git \ - && apt-get install -y --no-install-recommends gcc \ - && apt-get install -y --no-install-recommends cmake \ - && apt-get purge -y --auto-remove - - -RUN pip3 install git+https://github.com/EnzymeML/PyEnzyme.git -RUN pip3 install fastapi uvicorn jinja2 - -COPY pyenzyme_server.py /app - -CMD ["uvicorn", "pyenzyme_server:app", "--host", "0.0.0.0", "--port", "80"] \ No newline at end of file diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index fc23d642..5006ef40 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -1,22 +1,67 @@ -# File: __init__.py -# Project: pyenzyme -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from pyenzyme.enzymeml.core import EnzymeMLDocument -from pyenzyme.enzymeml.core import Vessel -from pyenzyme.enzymeml.core import Protein -from pyenzyme.enzymeml.core import Complex -from pyenzyme.enzymeml.core import Reactant -from pyenzyme.enzymeml.core import EnzymeReaction -from pyenzyme.enzymeml.core import Measurement -from pyenzyme.enzymeml.core import Replicate -from pyenzyme.enzymeml.core import Creator -from pyenzyme.enzymeml.models import KineticModel -from pyenzyme.utils.log import setup_custom_logger - -import pyenzyme.enzymeml.models - - -__version__ = "1.1.5" +from __future__ import annotations + +import json +from rich import print +from pathlib import Path + +from .model import * # noqa: F403 +from .sbml import to_sbml # noqa: F401 +from .tabular import to_pandas, read_csv, read_excel # noqa: F401 + +__all__ = [ + "load_enzymeml", + "write_enzymeml", + "to_sbml", + "to_pandas", +] + + +def load_enzymeml(path: str) -> EnzymeMLDocument: # noqa: F405 + with open(path) as f: + return EnzymeMLDocument.model_validate_json(f.read()) # noqa: F405 + + +def write_enzymeml(doc: EnzymeMLDocument, path: Path | str | None = None): # noqa: F405 + data = json.loads(doc.model_dump_json(exclude_none=True, by_alias=True)) + data = json.dumps(sort_by_ld(data), indent=2) + + if path is None: + return data + elif isinstance(path, str): + path = Path(path) + + if path.is_dir(): + path = path / "experiment.json" + + with open(path, "w") as f: + f.write(data) + + print(f"\n EnzymeML document written to [green][bold]{path}[/bold][/green]\n") + + +def sort_by_ld(d: dict) -> dict: + keys = sorted(d.keys(), key=_pattern) + data = {} + + for key in keys: + value = d[key] + + if isinstance(value, dict): + data[key] = sort_by_ld(value) + elif isinstance(value, list) and all(isinstance(v, dict) for v in value): + data[key] = [sort_by_ld(v) for v in value] + else: + data[key] = value + + return data + + +def _pattern(s: str): + if s.startswith("@context"): + return 0 + elif s.startswith("@id"): + return 1 + elif s.startswith("@type"): + return 2 + else: + return 3 diff --git a/pyenzyme/enzymeml/__init__.py b/pyenzyme/enzymeml/__init__.py deleted file mode 100644 index 123f1bbb..00000000 --- a/pyenzyme/enzymeml/__init__.py +++ /dev/null @@ -1,18 +0,0 @@ -# File: __init__.py -# Project: enzymeml -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from pyenzyme.enzymeml.core import EnzymeMLDocument -from pyenzyme.enzymeml.core import Creator -from pyenzyme.enzymeml.core import Vessel -from pyenzyme.enzymeml.core import Protein -from pyenzyme.enzymeml.core import Complex -from pyenzyme.enzymeml.core import Reactant -from pyenzyme.enzymeml.core import EnzymeReaction -from pyenzyme.enzymeml.core import Measurement -from pyenzyme.enzymeml.core import Replicate -from pyenzyme.enzymeml.core import SBOTerm, DataTypes - -from pyenzyme.enzymeml import models diff --git a/pyenzyme/enzymeml/core/__init__.py b/pyenzyme/enzymeml/core/__init__.py deleted file mode 100644 index 55ee360a..00000000 --- a/pyenzyme/enzymeml/core/__init__.py +++ /dev/null @@ -1,19 +0,0 @@ -# File: __init__.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from pyenzyme.enzymeml.core.creator import Creator -from pyenzyme.enzymeml.core.enzymemldocument import EnzymeMLDocument -from pyenzyme.enzymeml.core.protein import Protein -from pyenzyme.enzymeml.core.complex import Complex -from pyenzyme.enzymeml.core.reactant import Reactant -from pyenzyme.enzymeml.core.replicate import Replicate -from pyenzyme.enzymeml.core.unitdef import UnitDef -from pyenzyme.enzymeml.core.vessel import Vessel -from pyenzyme.enzymeml.core.enzymereaction import EnzymeReaction -from pyenzyme.enzymeml.core.enzymemlbase import EnzymeMLBase -from pyenzyme.enzymeml.core.measurementData import MeasurementData -from pyenzyme.enzymeml.core.measurement import Measurement -from pyenzyme.enzymeml.core.ontology import SBOTerm, DataTypes diff --git a/pyenzyme/enzymeml/core/abstract_classes.py b/pyenzyme/enzymeml/core/abstract_classes.py deleted file mode 100644 index 730a3e77..00000000 --- a/pyenzyme/enzymeml/core/abstract_classes.py +++ /dev/null @@ -1,69 +0,0 @@ -# File: creator.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from pydantic import BaseModel, PrivateAttr, validator -from typing import Optional -from abc import ABC, abstractmethod - -from pyenzyme.enzymeml.core.ontology import SBOTerm - - -class AbstractSpeciesDataclass(BaseModel): - """Abstract dataclass to describe an EnzymeML/SBML species.""" - - name: str - meta_id: Optional[str] - id: Optional[str] - vessel_id: str - init_conc: Optional[float] = None - constant: bool - boundary: bool - unit: Optional[str] = None - ontology: SBOTerm - uri: Optional[str] - creator_id: Optional[str] - - # * Private attributes - _unit_id: Optional[str] = PrivateAttr(default=None) - _enzmldoc = PrivateAttr(default=None) - - -class AbstractSpecies(ABC, AbstractSpeciesDataclass): - """Due to inheritance and type-checking issues, the dataclass has to be mixed in.""" - - # ! Validators - @validator("id") - def set_meta_id(cls, id: Optional[str], values: dict): - """Sets the meta ID when an ID is provided""" - - if id: - # Set Meta ID with ID - values["meta_id"] = f"METAID_{id.upper()}" - - return id - - # ! Getters - def unitdef(self): - """Returns the appropriate unitdef if an enzmldoc is given""" - - if not self._enzmldoc: - return None - if not self.unit: - return None - - return self._enzmldoc._unit_dict[self._unit_id] - - -class AbstractSpeciesFactory(ABC): - """ - Factory that returns a specific species instance. - """ - - enzymeml_part: str - - @abstractmethod - def get_species(self, **kwargs) -> AbstractSpecies: - """Return a new species object""" diff --git a/pyenzyme/enzymeml/core/complex.py b/pyenzyme/enzymeml/core/complex.py deleted file mode 100644 index 836587d1..00000000 --- a/pyenzyme/enzymeml/core/complex.py +++ /dev/null @@ -1,119 +0,0 @@ -# File: complex.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import re - -from pydantic import validator, Field -from typing import List, Optional, TYPE_CHECKING -from dataclasses import dataclass - -from pyenzyme.enzymeml.core.enzymemlbase import EnzymeMLBase -from pyenzyme.enzymeml.core.abstract_classes import AbstractSpecies -from pyenzyme.enzymeml.core.exceptions import ParticipantIdentifierError -from pyenzyme.enzymeml.core.ontology import SBOTerm -from pyenzyme.enzymeml.core.utils import ( - type_checking, -) - -if TYPE_CHECKING: # pragma: no cover - static_check_init_args = dataclass -else: - static_check_init_args = type_checking - - -@static_check_init_args -class Complex(EnzymeMLBase, AbstractSpecies): - - name: str = Field( - ..., - description="Name of the complex", - ) - - participants: List[str] = Field( - default_factory=list, - description="Array of IDs the complex contains", - ) - - vessel_id: str = Field( - ..., - description="Identifier of the vessel in which the protein was stored.", - regex=r"v[\d]+", - ) - - init_conc: Optional[float] = Field( - None, description="Initial concentration of the protein.", inclusiveMinimum=0.0 - ) - - unit: Optional[str] = Field( - None, - description="Unit of the proteins intial concentration.", - ) - - constant: bool = Field( - False, - description="Whether the proteins concentration remains constant or not.", - ) - - meta_id: Optional[str] = Field( - None, - description="Unique meta identifier of the protein.", - ) - - id: Optional[str] = Field( - None, description="Unique identifier of the protein.", regex=r"c[\d]+" - ) - - boundary: bool = Field( - False, - description="Whether the protein is under any boundary conditions (SBML Technicality, better leave it to default)", - ) - - ontology: SBOTerm = Field( - SBOTerm.MACROMOLECULAR_COMPLEX, - description="Ontology describing the characteristic of the protein.", - ) - - uri: Optional[str] = Field( - None, - description="URI of the protein.", - ) - - creator_id: Optional[str] = Field( - None, - description="Unique identifier of the author.", - ) - - # ! Validators - @validator("id") - def set_meta_id(cls, id: Optional[str], values: dict): - """Sets the meta ID when an ID is provided""" - - if id: - # Set Meta ID with ID - values["meta_id"] = f"METAID_{id.upper()}" - - return id - - @validator("participants") - def check_reactant_ids(cls, ids: List[str]): - """Checks ID consistency for reactants""" - - for id in ids: - if cls._id_checker(id, r"s[\d]+"): - # Check for reactants - continue - elif cls._id_checker(id, r"p[\d]+"): - # Check for proteins - continue - else: - raise ParticipantIdentifierError(id=id, prefix="s/p") - - return ids - - @staticmethod - def _id_checker(id: str, pattern: str): - """Checks ID pattern""" - return bool(re.match(pattern, id)) diff --git a/pyenzyme/enzymeml/core/creator.py b/pyenzyme/enzymeml/core/creator.py deleted file mode 100644 index 1d76e2bd..00000000 --- a/pyenzyme/enzymeml/core/creator.py +++ /dev/null @@ -1,68 +0,0 @@ -# File: creator.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from pydantic import Field, validator, ValidationError -from typing import TYPE_CHECKING, Optional -from dataclasses import dataclass - -from pyenzyme.enzymeml.core.enzymemlbase import EnzymeMLBase -from pyenzyme.enzymeml.core.utils import type_checking, deprecated_getter - -if TYPE_CHECKING: # pragma: no cover - static_check_init_args = dataclass -else: - static_check_init_args = type_checking - - -@static_check_init_args -class Creator(EnzymeMLBase): - - given_name: str = Field( - ..., - description="Given name of the author or contributor.", - ) - - family_name: str = Field( - ..., - description="Family name of the author or contributor.", - ) - - mail: str = Field( - ..., - description="Email address of the author or contributor.", - ) - - id: Optional[str] = Field( - None, description="Unique identifier of the protein.", regex=r"a[\d]+" - ) - - @validator("given_name", "family_name", "mail", pre=True) - def check_empty_strings(cls, value): - if not value: - raise ValueError( - "An empty string has been provided. Please make sure to provide a valid string." - ) - - return value - - @validator("mail") - def check_mail_consistency(cls, mail): - if len(mail.split("@")) != 2: - raise ValueError(f"{mail} is not a valid mail adress.") - - return mail - - @deprecated_getter("family_name") - def getFname(self) -> str: - return self.family_name - - @deprecated_getter("given_name") - def getGname(self) -> str: - return self.given_name - - @deprecated_getter("mail") - def getMail(self) -> str: - return self.mail diff --git a/pyenzyme/enzymeml/core/enzymemlbase.py b/pyenzyme/enzymeml/core/enzymemlbase.py deleted file mode 100644 index 5bc14948..00000000 --- a/pyenzyme/enzymeml/core/enzymemlbase.py +++ /dev/null @@ -1,134 +0,0 @@ -# File: baseclass.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import json -import logging - -from pydantic import BaseModel -from pyenzyme.utils.log import log_change, log_object - - -logger = logging.getLogger("pyenzyme") - - -class EnzymeMLBase(BaseModel): - class Config: - validate_assignment = True - validate_all = True - - def json(self, indent: int = 2, **kwargs): - return super().json( - indent=indent, - exclude_none=True, - exclude={ - "log": ..., - "file_dict": ..., - "protein_dict": {"Protein": {"__all__": {"_unit_id"}}}, - }, - by_alias=True, - **kwargs, - ) - - @classmethod - def fromJSON(cls, json_string): - return cls.parse_obj(json.loads(json_string)) - - def __setattr__(self, name, value): - """Modified attribute setter to document changes in the EnzymeML document""" - - # TODO Refactor this to spearate methods - - # Check if there is a model that is to be added - if name == "model" and value is not None: - if self._enzmldoc: - value = self.set_kinetic_model( - model=value, reaction=self, enzmldoc=self._enzmldoc - ) - - # Check for changing units and assign a new one - if "unit" in name and not name.startswith("_") and hasattr(self, "_enzmldoc"): - if self._enzmldoc and value: - # When the object has already been assigned to a document - # use this to set and add the new unit - - # Create a new UnitDef and get the ID - new_unit_id = self._enzmldoc._convertToUnitDef(value) - value = self._enzmldoc._unit_dict[new_unit_id]._get_unit_name() - - # Set the unit ID to the object - attr_name = f"_{name}_id" - super().__setattr__(attr_name, new_unit_id) - - # Perform logging of the new attribute to history - old_value = getattr(self, name) - - # Whenever a new ID is assigned, make sure the names are compliant with our standards - if "unit_id" in name and hasattr(self, "_enzmldoc"): - if self._enzmldoc: - unit_name = self._enzmldoc._unit_dict[value]._get_unit_name() - attr_name = name.replace("_id", "")[1::] - super().__setattr__(attr_name, unit_name) - - if ( - isinstance(old_value, list) is False - and name.startswith("_") is False - and name != "id" - and old_value - ): - - if type(self).__name__ != "EnzymeMLDocument": - - try: - log_change( - logger, - type(self).__name__, - getattr(self, "id"), - name, - old_value, - value, - ) - - except AttributeError: - log_change( - logger, - type(self).__name__, - self.get_id(), - name, - old_value, - value, - ) - - # Finally, set the new attribute's value - super().__setattr__(name, value) - - @staticmethod - def set_kinetic_model( - model, - reaction, - enzmldoc, - ) -> None: - """Sets the kinetic model of the reaction and in addition converts all units to UnitDefs. - - Args: - model (KineticModel): Kinetic model that has been derived. - enzmldoc (EnzymeMLDocument): The EnzymeMLDocument that holds the reaction. - """ - - # ID consistency - enzmldoc._check_kinetic_model_ids( - model=model, - ) - - # Unit conversion - enzmldoc._convert_kinetic_model_units(model.parameters, enzmldoc=enzmldoc) - - # Log creator object - log_object(logger, model) - logger.debug( - f"Added {type(model).__name__} '{model.name}' to reaction '{reaction.name}'" - ) - - return model diff --git a/pyenzyme/enzymeml/core/enzymemldocument.py b/pyenzyme/enzymeml/core/enzymemldocument.py deleted file mode 100644 index ca022aee..00000000 --- a/pyenzyme/enzymeml/core/enzymemldocument.py +++ /dev/null @@ -1,1847 +0,0 @@ -# File: enzymemldocument.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import os -import re -import ast -import json -import yaml -import sys -import logging -import pandas as pd -import seaborn as sns -import plotly.express as px - -from pydantic import Field, PrivateAttr, validator, validate_arguments -from typing import Dict, List, Tuple, TYPE_CHECKING, Optional, Union -from dataclasses import dataclass -from io import StringIO - -from pyenzyme.enzymeml.core.enzymemlbase import EnzymeMLBase -from pyenzyme.enzymeml.core.abstract_classes import AbstractSpecies - -from pyenzyme.enzymeml.core.reactant import Reactant -from pyenzyme.enzymeml.core.creator import Creator -from pyenzyme.enzymeml.core.protein import Protein -from pyenzyme.enzymeml.core.complex import Complex -from pyenzyme.enzymeml.core.vessel import Vessel -from pyenzyme.enzymeml.core.unitdef import UnitDef -from pyenzyme.enzymeml.core.measurement import Measurement -from pyenzyme.enzymeml.core.measurementData import MeasurementData -from pyenzyme.enzymeml.core.enzymereaction import EnzymeReaction -from pyenzyme.enzymeml.models.kineticmodel import KineticParameter -from pyenzyme.enzymeml.tools.unitcreator import UnitCreator -from pyenzyme.enzymeml.tools.enzymemlwriter import EnzymeMLWriter -from pyenzyme.enzymeml.tools.templatereader import read_template -from pyenzyme.enzymeml.tools.validator import EnzymeMLValidator - -from pyenzyme.enzymeml.core.ontology import EnzymeMLPart, SBOTerm -from pyenzyme.utils.log import setup_custom_logger, log_object -from pyenzyme.enzymeml.core.exceptions import SpeciesNotFoundError -from pyenzyme.enzymeml.core.utils import type_checking, deprecated_getter - - -if TYPE_CHECKING: # pragma: no cover - static_check_init_args = dataclass -else: - static_check_init_args = type_checking - -# Initialize the logger -logger = logging.getLogger("pyenzyme") - - -@static_check_init_args -class EnzymeMLDocument(EnzymeMLBase): - - name: str = Field( - ..., - description="Title of the EnzymeML Document.", - ) - - level: int = Field( - 3, - description="SBML evel of the EnzymeML XML.", - inclusiveMinimum=1, - inclusiveMaximum=3, - ) - - version: int = Field( - 2, - description="SBML version of the EnzymeML XML.", - ) - - pubmedid: Optional[str] = Field( - None, - description="Pubmed ID reference.", - ) - - url: Optional[str] = Field( - None, - description="Arbitrary type of URL that is related to the EnzymeML document.", - ) - - doi: Optional[str] = Field( - None, - description="Digital Object Identifier of the referenced publication or the EnzymeML document.", - ) - - created: Optional[str] = Field( - None, - description="Date the EnzymeML document was created.", - ) - - modified: Optional[str] = Field( - None, - description="Date the EnzymeML document was modified.", - ) - - creator_dict: Dict[str, Creator] = Field( - alias="creators", - default_factory=dict, - description="Dictionary mapping from creator IDs to creator describing objects.", - ) - - vessel_dict: Dict[str, Vessel] = Field( - alias="vessels", - default_factory=dict, - description="Dictionary mapping from vessel IDs to vessel describing objects.", - ) - - protein_dict: Dict[str, Protein] = Field( - alias="proteins", - default_factory=dict, - description="Dictionary mapping from protein IDs to protein describing objects.", - ) - - complex_dict: Dict[str, Complex] = Field( - alias="complexes", - default_factory=dict, - description="Dictionary mapping from complex IDs to complex describing objects.", - ) - - reactant_dict: Dict[str, Reactant] = Field( - alias="reactants", - default_factory=dict, - description="Dictionary mapping from reactant IDs to reactant describing objects.", - ) - - reaction_dict: Dict[str, EnzymeReaction] = Field( - alias="reactions", - default_factory=dict, - description="Dictionary mapping from reaction IDs to reaction describing objects.", - ) - - measurement_dict: Dict[str, Measurement] = Field( - alias="measurements", - default_factory=dict, - description="Dictionary mapping from measurement IDs to measurement describing objects.", - ) - - file_dict: Dict[str, dict] = Field( - alias="files", - default_factory=dict, - description="Dictionary mapping from protein IDs to protein describing objects.", - ) - - global_parameters: Dict[str, KineticParameter] = Field( - alias="global_parameters", - default_factory=dict, - description="Dictionary mapping from parameter IDs to global kinetic parameter describing objects.", - ) - - log: str = Field( - default="", - ) - - # * Private attributes - _unit_dict: Dict[str, UnitDef] = PrivateAttr(default_factory=dict) - - # ! Validators - @validator("log") - def start_logger(cls, logs: str, values: dict): - """Starts a logger instance for the document""" - - # Initialite the log stream - log_stream = StringIO() - log_stream.write(logs) - - # Initialize the global logger - setup_custom_logger("pyenzyme", log_stream) - - return log_stream - - @validator("pubmedid") - def add_identifier(cls, pubmedid: Optional[str]): - """Adds an identifiers.org link in front of the pubmed ID if not given""" - - if pubmedid is None: - return pubmedid - elif pubmedid.startswith("https://identifiers.org/pubmed:"): - return pubmedid - else: - return "https://identifiers.org/pubmed:" + pubmedid - - # ! Imports and exports - @classmethod - def fromTemplate(cls, path: str): - """Reads an EnzymeML spreadsheet template to an EnzymeMLDocument object. - - Args: - path (str): Path to the EnzymeML spreadsheet template. - - Returns: - EnzymeMLDocument: Resulting EnzymeML document. - """ - - return read_template(path, cls) - - @staticmethod - def fromFile(path: str): - """Initializes an EnzymeMLDocument from an OMEX container." - - Args: - path (Path): Path to the OMEX container. - - Returns: - EnzymeMLDocument: The intialized EnzymeML document. - """ - - from pyenzyme.enzymeml.tools.enzymemlreader import EnzymeMLReader - - return EnzymeMLReader().readFromFile(path) - - @classmethod - def fromJSON(cls, json_string: str): - - # First, use PyDantic to get a raw model - enzmldoc = cls.parse_obj(json.loads(json_string)) - - # Recreate to get unitDefs and logs - nu_enzmldoc = cls( - name=enzmldoc.name, - level=enzmldoc.level, - version=enzmldoc.version, - pubmedid=enzmldoc.pubmedid, - url=enzmldoc.url, - doi=enzmldoc.doi, - created=enzmldoc.created, - modified=enzmldoc.modified, - ) - - # Creators - for creator in enzmldoc.creator_dict.values(): - nu_enzmldoc.addCreator(creator) - - # Vessels - for vessel in enzmldoc.vessel_dict.values(): - nu_enzmldoc.addVessel(vessel) - - # Proteins - for protein in enzmldoc.protein_dict.values(): - nu_enzmldoc.addProtein(protein) - - # Reactants - for reactant in enzmldoc.reactant_dict.values(): - nu_enzmldoc.addReactant(reactant) - - # Complexes - for complex in enzmldoc.complex_dict.values(): - nu_enzmldoc._add_complex(complex) - - # Reactions - for reaction in enzmldoc.reaction_dict.values(): - nu_enzmldoc.addReaction(reaction) - - # Measurements - for measurement in enzmldoc.measurement_dict.values(): - nu_measurement = Measurement( - name=measurement.name, - temperature=measurement.temperature, - temperature_unit=measurement.temperature_unit, - ph=measurement.ph, - global_time_unit=measurement.global_time_unit, - ) - - cls._parse_measurement_data( - measurement, "proteins", nu_measurement, nu_enzmldoc - ) - cls._parse_measurement_data( - measurement, "reactants", nu_measurement, nu_enzmldoc - ) - - nu_enzmldoc.addMeasurement(nu_measurement) - - return nu_enzmldoc - - @staticmethod - def _parse_measurement_data(measurement, key, nu_measurement, enzmldoc): - """Parses measurement data for the fromJSON method""" - - for measurement_data in measurement.species_dict[key].values(): - nu_measurement.addData( - init_conc=measurement_data.init_conc, - unit=measurement_data.unit, - protein_id=measurement_data.protein_id, - reactant_id=measurement_data.reactant_id, - ) - - nu_measurement.addReplicates(measurement_data.replicates, enzmldoc=enzmldoc) - - def toFile(self, path: str, name: Optional[str] = None): - """Saves an EnzymeML document to an OMEX container at the specified path - - Args: - path (Path): Path where the document should be saved. - verbose (PositiveInt, optional): Level of verbosity, in order to print a message and the resulting path. Defaults to 1. - """ - - EnzymeMLWriter().toFile(self, path, name) - - def toXMLString(self): - """Generates an EnzymeML XML string""" - - return EnzymeMLWriter().toXMLString(self) - - @validate_arguments - def uploadToDataverse( - self, - dataverse_name: str, - base_url: Optional[str] = None, - api_token: Optional[str] = None, - ): - """Uploads an EnzymeML document to a Dataverse installation of choice. - - It should be noted, that the environment variables 'DATAVERSE_URL' and 'DATAVERSE_API_TOKEN' - should be given approriately before the upload. If not, tje upload cant be done. - - Args: - dataverse_name (str): Name of the dataverse to upload the EnzymeML document. You can find the name in the link of your dataverse (e.g. https://dataverse.installation/dataverse/{dataverseName}) - base_url (str): Base URL of the dataverse to upload. Defaults to None. If None the URL will be drawn from env vars. - api_token (str): API Token of the dataverse to upload. Defaults to None. If None the API Token will be drawn from env vars. - - """ - - try: - from pyenzyme.enzymeml.databases.dataverse import uploadToDataverse - except ModuleNotFoundError: - raise ModuleNotFoundError( - "PyDaRUS has not been found. Please make sure to install 'pyDaRUS' to use the dataverse upload." - ) - - uploadToDataverse( - enzmldoc=self, - dataverse_name=dataverse_name, - base_url=base_url, - api_token=api_token, - ) - - # ! Utility methods - def visualize( - self, - measurement_ids: List[str] = ["all"], - interactive: bool = False, - use_names: bool = False, - sharey: bool = True, - col_wrap: int = 4, - trendline: bool = False, - width: int = 1000, - height: int = 500, - hovermode: str = "closest", - **kwargs, - ): - """Visualizes either all or selected measurements found in the EnzymeML document as FacetGrid or interactive. - - In order to use this method correctly, make sure to pass nothing to 'measurement_ids' when all meassurements - should be visualised. Otherwise pass a list or string for multiple or single measurements respectively. - - - Args: - measurement_ids (List[str], optional): List of measurements that should be plotted or all. Defaults to ["all"]. - interactive (bool, optional): [description]. Whether to return an interatcive or static plot. Defaults to to False. - use_names (bool, optional): Whether names or IDs should be used. Defaults to False. - sharey (bool, optional): Whether all plots in FacetGrid should share the y-axis. Defaults to True. - col_wrap (int, optional): Specifies in FacetGrid at which number of cols to create a new row. Defaults to 4. - trendline (bool, optional): Whether the plot should include a trendline. Defaults to False. - width (int, optional): Interactive plot width. Defaults to 1000. - height (int, optional): Interactive plot height. Defaults to 500. - hovermode (str, optional): Changes behaviour of hovering. Following options are available ['closest', 'x unified', 'x', 'y', 'y unified']. Defaults to 'closest'. - - Returns: - [type]: [description] - """ - - if isinstance(measurement_ids, str): - measurement_ids = [measurement_ids] - - # Allow for custom templates if specified - if interactive: - kwargs["template"] = "plotly_white" - - df = self.toDataFrame(use_names=use_names, measurement_ids=measurement_ids) - - if interactive: - return self._create_interactive_plot( - df=df, - trendline=trendline, - width=width, - height=height, - hovermode=hovermode, - **kwargs, - ) - - return self._create_facet_grid( - df=df, trendline=trendline, col_wrap=col_wrap, sharey=sharey, **kwargs - ) - - def _create_facet_grid( - self, - df: pd.DataFrame, - col_wrap: int, - sharey: bool, - trendline: bool, - **kwargs, - ): - - # Set up the FacetGrid plot - g = sns.FacetGrid( - df, - col="measurement", - hue="species", - col_wrap=col_wrap, - sharey=sharey, - legend_out=True, - **kwargs, - ) - - if trendline: - g.map(sns.lineplot, "time", "value") - g.map(sns.scatterplot, "time", "value") - g.add_legend( - loc="upper right", - bbox_to_anchor=(0.5, -0.01), - fancybox=True, - shadow=True, - ncol=2, - ) - - return g - - def _create_interactive_plot( - self, - df: pd.DataFrame, - trendline: bool, - width: int, - height: int, - hovermode: str, - **kwargs, - ): - """Visualizes all measurements as an interactive plot based on plotly. Best used in Jupyter Notebooks. - - Args: - trendline (bool, optional): Whether or not an average trendline should be drawn. Defaults to False. - width (int, optional): Plot width. Defaults to 1000. - height (int, optional): Plot height. Defaults to 500. - """ - - if trendline: - kwargs.update({"trendline": "lowess", "trendline_options": {"frac": 0.5}}) - - fig = px.scatter( - df, - x="time", - y="value", - animation_frame="measurement", - color="species", - range_y=[-5, df.value.max() + df.value.std()], - width=width, - height=height, - hover_name="species", - **kwargs, - ) - - fig.update_layout( - legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1) - ) - - fig.update_layout(hovermode=hovermode) - - return fig - - def toDataFrame( - self, - measurement_ids: List[str] = ["all"], - use_names: bool = False, - ) -> pd.DataFrame: - """Transforms exported measurement data to a single DataFrame - - Args: - measurement_ids (List[str], optional): Measurements to include or all of them. Defaults to ["all"]. - use_names (bool, optional): Wether names or IDs should be used. Defaults to False. - - Returns: - pd.DataFrame: Transformed measurement data. - """ - - # First export all the experimental data - data = self.exportMeasurementData() - - # Reformat the dataframe for a FacetGrid plot - df_plot = [] - for measurement_id, measurement in data.items(): - - if measurement_id not in measurement_ids and measurement_ids != ["all"]: - # Drop discarded measurements - continue - - if use_names: - # Turn ID to name if specified - measurement_id = self.measurement_dict[measurement_id].name - - # Get the dataframe from the data export - exp_data = measurement["data"] - - # Rename to names if specified - columns = [] - for column in exp_data.columns: - if use_names and column not in ["time", "data_unit", "time_unit"]: - columns.append(self.getAny(column).name) - else: - columns.append(column) - - # Reset columns - exp_data.columns = columns - - # Reduce DataFrame to three columns to hue indicidual species - exp_data = pd.melt(exp_data, id_vars=["time"], var_name="species") - exp_data["measurement"] = [measurement_id] * exp_data.shape[0] - - df_plot.append(exp_data) - - # Finally, concatenate all indivdidual datasets - df_plot = pd.concat(df_plot) - - return df_plot - - def unifyMeasurementUnits( - self, kind: str, scale: int, measurement_ids: Union[str, List[str]] = "all" - ) -> None: - """Rescales and unifies the units of either all measurements or those that are provided to the given kind and scale. - - Args: - kind (str): The unit kind from which to rescale. Currently supported: 'mole', 'gram', 'litre'. - scale (int): Decade scale to which the values will be rescaled. - measurement_ids (Union[str, List[str]], optional): Measurements that will be rescaled. Defaults to "all". - """ - - # Transform single strings to list - if isinstance(measurement_ids, str): - measurement_ids = [measurement_ids] - - for measurement_id, measurement in self.measurement_dict.items(): - if measurement_id in measurement_ids or measurement_ids == ["all"]: - measurement.unifyUnits(kind=kind, scale=scale, enzmldoc=self) - - def exportMeasurementData( - self, - measurement_ids: Union[str, List[str]] = "all", - species_ids: Union[str, List[str]] = "all", - proteins: bool = True, - reactants: bool = True, - ) -> Dict[str, Dict[str, Union[Tuple, pd.DataFrame]]]: - """Exports either all replicates present in any measurement or the ones specified via 'species_ids' or 'measurement_ids' - - Args: - measurement_ids (Union[str, List[str]], optional): The measurements from which to export the data. Defaults to "all". - species_ids (Union[str, List[str]], optional): The species from which to export the data. Defaults to "all". - - Returns: - Dict[str, Dict[str, Union[tuple, pd.DataFrame]]]: The data corresponding to the specified options. The dictionary will still distinguish between meassuremnts. - """ - - if proteins is False and reactants is False: - raise ValueError( - "Export of data needs at least one of 'protein' and 'reactants' specified. Otherwise no data can be exported." - ) - - if isinstance(measurement_ids, str): - measurement_ids = [measurement_ids] - if isinstance(species_ids, str): - species_ids = [species_ids] - - # Initialize return list - replicate_data = {} - - for measurement_id, measurement in self.measurement_dict.items(): - if measurement_id in measurement_ids or measurement_ids == ["all"]: - data = measurement.exportData(species_ids=species_ids) - - # Initialize the data dict that will be returned - df = {} - init_conc = {} - - if reactants: - df.update(data["reactants"]["data"].to_dict()) - init_conc.update(data["reactants"]["initConc"]) - if proteins: - df.update(data["proteins"]["data"].to_dict()) - init_conc.update(data["proteins"]["initConc"]) - - replicate_data[measurement_id] = { - "data": pd.DataFrame(df), - "initConc": init_conc, - } - - if len(measurement_ids) == 1 and measurement_ids[0] != "all": - # If its only a single measurement, return it directly - return replicate_data - - return replicate_data - - def exportKineticParameters( - self, exclude_constant: bool = False, as_dataframe: bool = True - ): - """Exports all kinetic parameters found in the EnzymeMLDocument - - Args: - reactions (List[str]): Reactions from which the parameters are to be exported. - - Returns: - Dict: Mapping from parameter name to estimated value - """ - - # Export local parameters - params = [ - {"reaction": reaction.id, **param.dict(exclude={"ontology"})} - for reaction in self.reaction_dict.values() - for param in reaction.model.parameters - if reaction.model and not param.is_global - ] - - # Global parameters - params += [ - {"reaction": "global", **param.dict(exclude={"ontology"})} - for param in self.global_parameters.values() - ] - - # Create param report - param_report = pd.DataFrame(params).set_index("reaction", inplace=False) - - if exclude_constant: - return param_report[param_report.constant == False] - - return param_report - - @staticmethod - def _generateID(prefix: str, dictionary: dict) -> str: - """Generates IDs complying to the [s|p|r|m|u|c]?[digit]+ schema. - - Args: - prefix (str): Character denoting the type of species (p: Protein, s: Reactant, u: UnitDef, r: EnzymeReaction, m: Measurement, c: concentration). - dictionary (dict): The dictionary from which the ID is generated and used to determine the number. - - Returns: - str: Unique internal identifier. - """ - - if dictionary.keys(): - # fetch all keys and sort them - number = int(max(list(dictionary.keys()), key=lambda id: int(id[1::]))[1::]) - return prefix + str(number + 1) - - return prefix + str(0) - - def validateDocument(self, yaml_path: str) -> Tuple[Dict, bool]: - """Validates an EnzymeML based on a given YAML file. - - The YAML file should be compliant with PyEnzymes template found on Github - or generated via the EnzymeMLValidator instance. Ultimately, it can also - be derived from a spreadsheet template, which can also be generated via - the EnzymeMLValidator instance. - - Args: - yaml_path (str): Path to the Validation YAML file - - Returns: - Dict: Report on which fields are incompatible - Bool: Whether or not the document is valid to the given YAML - """ - - validator = EnzymeMLValidator(scheme=yaml.safe_load(open(yaml_path))) - - return validator.validate(self) - - def checkUnitConsistency(self, strict: bool = False, return_report: bool = True): - """Validates unit consistency in an EnzymeMLDocument. - - This method will check whether all (initial) concentration units of a species - are consistent throughout the document. Default mode only requires measurements and - replicates to comply to the species unit. - - This can also be set to 'strict', where any species, measurement, - replicate and parameter has to comply in a global fashion. - To summarise, strict mode checks on: - - - Consistent usage of time - - Consistent concentration units for ALL concentrations - - Consistent volumetric unit including vessels - - Strict mode is of greates importance for kinetic modeling, differing scales - can lead to wrong results. However, the code will still run and only warnings - will be given. - - Args: - strict (bool, optional): Enables strict mode. Defaults to False. - return_report (bool, optional): Whether a report should be returned. Defaults to False. - - Returns: - Dict: Report on which units are inconsistent - Bool: Whether the document is consistent in units - """ - - is_consistent, report = EnzymeMLValidator.check_unit_consistency(self, strict) - - if return_report: - return is_consistent, report - else: - return is_consistent - - def __repr__(self): - """ - Magic function return pretty string describing the object. - - Returns: - string: Beautified summarization of object - """ - - return self.printDocument(stdout=False) - - def printDocument( - self, measurements: bool = False, units: bool = False, stdout: bool = True - ) -> Optional[str]: - """Prints the document's content""" - - fin_string: List[str] - - def generate_lines(dictionary: dict) -> None: - """Breaks up a dictionary and generates a human readible line.""" - for element_id, element in dictionary.items(): - fin_string.append(f"\tID: {element_id} \t Name: {element.name}") - - fin_string = [self.name] - - if units: - fin_string.append(">>> Units") - generate_lines(self._unit_dict) - - fin_string.append(">>> Reactants") - generate_lines(self.reactant_dict) - - fin_string.append(">>> Proteins") - generate_lines(self.protein_dict) - - fin_string.append(">>> Complexes") - generate_lines(self.complex_dict) - - fin_string.append(">>> Reactions") - generate_lines(self.reaction_dict) - - if measurements: - fin_string.append(">>> Measurements") - fin_string.append(self.printMeasurements(stdout=False)) - - output = "\n".join(fin_string) - - if stdout: - print(output) - else: - return output - - def printMeasurements(self, stdout: bool = True): - """Prints an overview of all measurements""" - - schemes = [] - for measurement in self.measurement_dict.values(): - schemes.append(measurement.printMeasurementScheme(stdout=stdout)) - - if not stdout: - return "\n".join(schemes) - - def printReactionSchemes(self, by_name: bool = True): - """Prints all reaction equations to inspect the content""" - - if len(self.reaction_dict) == 0: - print(">> No reactions present in this EnzymeML Document.", file=sys.stderr) - return - - output = [] - - for reaction in self.reaction_dict.values(): - - # Get the equation - equation = reaction.get_reaction_scheme(by_name=by_name, enzmldoc=self) - - if self.in_ipynb(): - output.append( - { - "ID": reaction.id, - "Name": reaction.name, - "equation": equation.split("\n")[1].replace("Equation: ", ""), - "kinetic law": equation.split("\n")[2].replace( - "Model: v = ", "" - ), - } - ) - else: - output.append(equation) - - if self.in_ipynb(): - return pd.DataFrame(output).set_index("ID") - else: - print("\n".join(output)) - - @staticmethod - def in_ipynb(): - """Checks whether in an ipynb or not""" - try: - cfg = get_ipython().config - if get_ipython().__class__.__name__ == "ZMQInteractiveShell": - return True - else: - return False - except NameError: - return False - - def generateInitialValueTemplate(self, dir: str = ".") -> None: - """Generates an initial value template as a YAML file, which can be used for modeling. - - Args: - dir (str, optional): Dirpath to the output file. Defaults to ".". - """ - - init_values = { - "global": { - param.name: { - "initial_value": None, - "constant": param.constant, - "upper": None, - "lower": None, - } - for param in self.global_parameters.values() - } - } - - for reaction in self.reaction_dict.values(): - - if reaction.model is None: - continue - - parameters = { - param.name: { - "initial_value": None, - "constant": param.constant, - "upper": None, - "lower": None, - } - for param in reaction.model.parameters - if param.is_global is False - } - - if parameters: - init_values[reaction.id] = parameters - - # Finally, write the template to YAML - out = os.path.join(dir, self.name.replace(" ", "_") + "_init_values.yaml") - - with open(out, "w") as file_handle: - yaml.dump( - init_values, file_handle, default_flow_style=False, sort_keys=False - ) - - def applyModelInitialization(self, path: str, to_values: bool = False) -> None: - """Adds initial values per reaction to the model from a YAML config file. - - This method loads a YAML that previously generated from the function 'generateInitialValueTemplate' - and was filled with values. These are then used to populate the 'initial_value' fields of KineticParameter objects. - - Args: - path (str): Path to the YAML file containing the initial values. - """ - - # Load the YAML file - with open(path, "r") as file_handle: - initial_values = yaml.safe_load(file_handle) - - # Apply all given initial values to the model - for reaction_id, value_dict in initial_values.items(): - - if reaction_id == "global": - for name, options in value_dict.items(): - if to_values: - self.global_parameters[name].value = options.get( - "initial_value" - ) - - self.global_parameters[name].initial_value = options.get( - "initial_value" - ) - self.global_parameters[name].upper = options.get("upper") - self.global_parameters[name].lower = options.get("lower") - self.global_parameters[name].constant = options.get("constant") - - else: - # Get the reaction - reaction = self.getReaction(reaction_id) - reaction.apply_initial_values(value_dict, to_values=to_values) - - # ! Add methods - - @validate_arguments - def addGlobalParameter( - self, - name: str, - value: Optional[float] = None, - initial_value: Optional[float] = None, - unit: Optional[str] = None, - constant: bool = False, - upper: Optional[float] = None, - lower: Optional[float] = None, - stdev: Optional[float] = None, - ontology: Optional[SBOTerm] = None, - ): - """Adds a global parameter to the model that will be referred by KineticModel objects in reaction models. - - Args: - name (str): Name of the estimated parameter. - value (Optional[float], optional): Numerical value of the estimated parameter. Defaults to None. - initial_value (Optional[float], optional): Initial value that was used for the parameter estimation. Defaults to None. - unit (Optional[str], optional): Unit of the estimated parameter. Defaults to None. - stdev (Optional[float], optional): Standard deviation of the estimated parameter. Defaults to None. - ontology (Optional[SBOTerm], optional): Type of the estimated parameter. Defaults to None. - - Returns: - str: Name of the parameter that has been added. - """ - - param = KineticParameter( - name=name, - value=value, - unit=unit, - stdev=stdev, - initial_value=initial_value, - ontology=ontology, - is_global=True, - constant=constant, - upper=upper, - lower=lower, - ) - - if param.unit: - param._unit_id = self._convertToUnitDef(param.unit) - param.unit = self._unit_dict[param._unit_id]._get_unit_name() - - # Assign the current EnzymeMLDocument - param._enzmldoc = self - - # Add the parameter to the parameter_dict - self.global_parameters[param.name] = param - - return param.name - - @validate_arguments - def addCreator(self, creator: Creator, log: bool = True) -> str: - """Adds a creator object to the EnzymeML document. - - Args: - creator (Creator): Creator object to be added to the document. - - Returns: - str: Unique internal identifier of the creator. - """ - - # Generate ID - creator.id = self._generateID(prefix="a", dictionary=self.creator_dict) - - # Add to the document - self.creator_dict[creator.id] = creator - - if log: - # Log creator object - log_object(logger, creator) - logger.debug( - f"Added {type(creator).__name__} ({creator.id}) '{creator.family_name}' to document '{self.name}'" - ) - - return creator.id - - @validate_arguments - def addVessel(self, vessel: Vessel, use_parser: bool = True) -> str: - """Adds a Vessel object to the EnzymeML document. - - Args: - vessel (Vessel): Vessel object to be added to the document. - use_parser (bool, optional): Whether to user the unit parser or not. Defaults to True. - - Returns: - str: Unique internal identifier of the reactant. - """ - - return self._addSpecies( - species=vessel, - prefix="v", - dictionary=self.vessel_dict, - use_parser=use_parser, - ) - - @validate_arguments - def addReactant(self, reactant: Reactant, use_parser: bool = True) -> str: - """Adds a Reactant object to the EnzymeML document. - - Args: - reactant (Reactant): Reactant object to be added to the document. - use_parser (bool, optional): Whether to user the unit parser or not. Defaults to True. - - Returns: - str: Unique internal identifier of the reactant. - """ - - return self._addSpecies( - species=reactant, - prefix="s", - dictionary=self.reactant_dict, - use_parser=use_parser, - ) - - @validate_arguments - def addProtein(self, protein: Protein, use_parser: bool = True) -> str: - """Adds a Protein object to the EnzymeML document. - - Args: - protein (Protein): Protein object to be added to the document. - use_parser (bool, optional): Whether to user the unit parser or not. Defaults to True. - - Returns: - str: Unique internal identifier of the protein. - """ - - return self._addSpecies( - species=protein, - prefix="p", - dictionary=self.protein_dict, - use_parser=use_parser, - ) - - @validate_arguments - def _add_complex(self, complex: Complex, use_parser: bool = True) -> str: - """Adds a Complex object to the EnzymeML document. - - Args: - complex (Complex): Complex object to be added to the document. - use_parser (bool, optional): Whether to user the unit parser or not. Defaults to True. - - Returns: - str: Unique internal identifier of the complex. - """ - - return self._addSpecies( - species=complex, - prefix="c", - dictionary=self.complex_dict, - use_parser=use_parser, - ) - - @validate_arguments - def addComplex( - self, - name: str, - participants: List[str], - vessel_id: str, - init_conc: Optional[float] = None, - unit: Optional[str] = None, - ): - - # First convert all participants given as name to IDs - participants = [self.getAny(participant).id for participant in participants] - - return self._add_complex( - Complex( - name=name, - participants=participants, - vessel_id=vessel_id, - init_conc=init_conc, - unit=unit, - ) - ) - - def _addSpecies( - self, - species: Union[AbstractSpecies, Vessel], - prefix: str, - dictionary: dict, - use_parser: bool = True, - log: bool = True, - ) -> str: - """Helper function to add any specific species to the EnzymeML document. - - Args: - species (AbstractSpecies): Species that is about to be added to the EnzymeML document. - prefix (str): Character that is used to generate a unique internal identifier. - dictionary (dict): The dictionary where the species will be added to. - use_parser (bool, optional): Whether to user the unit parser or not. Defaults to True. - - Returns: - str: The internal identifier of the species. - """ - - # Generate ID - species.id = self._generateID(prefix=prefix, dictionary=dictionary) - species.meta_id = f"METAID_{species.id.upper()}" - - # Update unit to UnitDefID - if species.unit and use_parser: - unit_id = self._convertToUnitDef(species.unit) - species._unit_id = unit_id - species.unit = self._unit_dict[species._unit_id]._get_unit_name() - - elif species.unit and use_parser is False: - species._unit_id = species.unit - species.unit = self.getUnitString(species._unit_id) - species.unit = self._unit_dict[species._unit_id]._get_unit_name() - - # Log creation of the object - log_object(logger, species) - - # Finally, set the current document to the - # object attribute _enzmldoc to allow unit changes - species._enzmldoc = self - - # Add species to dictionary - dictionary[species.id] = species - - # Log the addition - if log: - logger.debug( - f"Added {type(species).__name__} ({species.id}) '{species.name}' to document '{self.name}'" - ) - - return species.id - - def addReaction(self, reaction: EnzymeReaction, use_parser: bool = True) -> str: - """ - Adds EnzymeReaction object to EnzymeMLDocument object. - Automatically assigns ID and converts units. - - Args: - reaction (EnzymeReaction): Object describing reaction - use_parser (bool, optional): If set True, will use - internal unit parser. - Defaults to True. - - Returns: - string: Internal identifier for the reaction. - Use it for other objects! - """ - - # Generate ID - reaction.id = self._generateID("r", self.reaction_dict) - reaction.meta_id = f"METAID_{reaction.id.upper()}" - - if use_parser and reaction.temperature: - # Reset temperature for SBML compliance to Kelvin - reaction.temperature = ( - reaction.temperature + 273.15 - if re.match(r"^c|celsius", reaction.temperature_unit.lower()) - else reaction.temperature - ) - - # Generate internal ID for the unit - reaction._temperature_unit_id = self._convertToUnitDef( - reaction.temperature_unit - ) - elif reaction.temperature: - # Set the temperature unit to the actual string - reaction._temperature_unit_id = reaction.temperature_unit - reaction.temperature_unit = self.getUnitString(reaction.temperature_unit) - - # Set model units and check for consistency - if reaction.model: - # ID consistency - self._check_kinetic_model_ids(model=reaction.model) - - # Reference global parameters - self._reference_global_parameters(model=reaction.model) - - # Unit conversion - self._convert_kinetic_model_units(reaction.model.parameters, enzmldoc=self) - - # Finally add the reaction to the document and assign the doc - reaction._enzmldoc = self - self.reaction_dict[reaction.id] = reaction - - # Log the object - log_object(logger, reaction) - logger.debug( - f"Added {type(reaction).__name__} ({reaction.id}) '{reaction.name}' to document '{self.name}'" - ) - - return reaction.id - - def _check_kinetic_model_ids(self, model) -> None: - """Checks if the given species IDs/names are consistent with the EnzymeML document. Also converts names into IDs, if given in the document. - - Args: - equation (str): The rate law given in the KineticModel - """ - - # Get all the params of the model to distinguis params from names - all_params = [param.name for param in model.parameters] - - for node in ast.walk(ast.parse(model.equation)): - - if isinstance(node, ast.Constant): - # If the equation was generated via the ModelFactory - if isinstance(node.value, str): - name = repr(node.value) - else: - # Numeric constants are ignored now - continue - - elif isinstance(node, ast.Str): - # Python 3.7 compatibility since ast.Constant is ast.Str here - name = node.s - - elif isinstance(node, ast.Name): - # If the equation has been done manually - name = node.id - if name in all_params: - # If its a parameter - continue - else: - continue - - if name not in self.getSpeciesIDs(): - - try: - # Try to get by name and substitute in equation - species_id = self.getAny( - name.replace("'", ""), - ).id - - if not name.startswith("'"): - name = f"'{name}'" - - model.equation = model.equation.replace(name, species_id) - except StopIteration: - # If neither name or ID is found, raise Error - raise SpeciesNotFoundError( - enzymeml_part="Kinetic Model", species_id=name - ) - - elif not bool(re.match(r"'[a-zA-Z\d]*'", name)): - quoted = f"'{name}'" - model.equation = model.equation.replace(quoted, name) - - def _reference_global_parameters(self, model): - """Removes single parameters and references global parameters if names match""" - - nu_parameters = [] - for parameter in model.parameters: - name = parameter.name - if name in self.global_parameters: - nu_parameters.append(self.global_parameters[name]) - else: - nu_parameters.append(parameter) - - model.parameters = nu_parameters - - @staticmethod - def _convert_kinetic_model_units( - parameters: List[KineticParameter], enzmldoc - ) -> None: - """Converts given unit strings to unit IDs and adds them to the model. - - Args: - parameters (List[KineticParameter]): List of all kinetic parameters. - enzmldoc ([type]): Used to convert unit strings to unit IDs. - """ - - for parameter in parameters: - if parameter.unit: - parameter._unit_id = enzmldoc._convertToUnitDef(parameter.unit) - parameter.unit = enzmldoc._unit_dict[ - parameter._unit_id - ]._get_unit_name() - parameter._enzmldoc = enzmldoc - - def addReactions(self, reactions: List[EnzymeReaction]): - """Adds multiple reactions to an EnzymeML document. - - Args: - reactions (List[EnzymeReaction]): List of EnzymeReaction objects - """ - - return {reaction.name: self.addReaction(reaction) for reaction in reactions} - - def addFile(self, filepath=None, file_handle=None, description="Undefined") -> str: - """Adds any arbitrary file to the document. Please note, that if a filepath is given, any file_handle will be ignored. - - Args: - filepath (str, optional): Path to the file that is added to the document. Defaults to None. - file_handle (io.BufferedReader, optional): File handle that will be read to a bytes string. Defaults to None. - - Returns: - str: Internal identifier for the file. - """ - - # Generate a unique identifier for the file - file_id = self._generateID("f", self.file_dict) - - if filepath: - # Open file handle - file_handle = open(filepath, "rb") - elif filepath is None and file_handle is None: - raise ValueError("Please specify either a file path or a file handle") - - # Finally, add the file and close the handler - self.file_dict[file_id] = { - "name": os.path.basename(file_handle.name), - "handler": file_handle, - "description": description, - } - - return file_id - - @validate_arguments - def addMeasurement(self, measurement: Measurement) -> str: - """Adds a measurement to an EnzymeMLDocument and validates consistency with already defined elements of the document. - - Args: - measurement (Measurement): Collection of data and initial concentrations per reaction - - Returns: - measurement_id (String): Assigned measurement identifier. - """ - - # Assign the current EnzymeMLDocument to - # propagate towards sub-elements such - # that unit changes can be done comliant - # to UnitDefinitions - measurement._enzmldoc = self - - # Check consistency - self._checkMeasurementConsistency(measurement) - - # Convert all measurement units to UnitDefs - self._convertMeasurementUnits(measurement) - - # Generate the ID and add it to the dictionary - measurement.id = self._generateID(prefix="m", dictionary=self.measurement_dict) - - # Update measurement ID to all replicates - protein_data = measurement.species_dict["proteins"] - reactant_data = measurement.species_dict["reactants"] - - self._updateReplicateMeasurementIDs(protein_data, measurement.id) - self._updateReplicateMeasurementIDs(reactant_data, measurement.id) - - # Add it to the EnzymeMLDocument - self.measurement_dict[measurement.id] = measurement - - # Log the object - log_object(logger, measurement) - logger.debug( - f"Added {type(measurement).__name__} ({measurement.id}) '{measurement.name}' to document '{self.name}'" - ) - - return measurement.id - - def _convertMeasurementUnits(self, measurement: Measurement) -> None: - """Converts string SI units to UnitDef objects and IDs - - Args: - measurement (Measurement): Object defining a measurement - """ - - # Update global time of the measurement - if measurement.global_time: - measurement._global_time_unit_id = self._convertToUnitDef( - measurement.global_time_unit - ) - - # Set correct string - measurement.global_time_unit = self._unit_dict[ - measurement._global_time_unit_id - ]._get_unit_name() - - # Update temperature unit of the measurement - if measurement.temperature_unit: - measurement._temperature_unit_id = self._convertToUnitDef( - measurement.temperature_unit - ) - - # Set correct string - measurement.temperature_unit = self._unit_dict[ - measurement._temperature_unit_id - ]._get_unit_name() - - def update_dict_units( - measurement_data_dict: Dict[str, MeasurementData], measurement: Measurement - ) -> None: - """Helper function to update units and assignment of the coupled EnzymeMLDocument""" - for measurement_data in measurement_data_dict.values(): - - # Assign the measurements enzmldoc - measurement_data._enzmldoc = measurement._enzmldoc - - measurement_data._unit_id = self._convertToUnitDef( - measurement_data.unit - ) - - global_time = self._convertReplicateUnits(measurement_data) - - if global_time: - measurement.global_time = global_time - - # Perform update - update_dict_units(measurement.species_dict["proteins"], measurement) - update_dict_units(measurement.species_dict["reactants"], measurement) - - def _convertReplicateUnits( - self, measurement_data: MeasurementData - ) -> Optional[List[float]]: - """Converts replicate unit strings to unit definitions. - - Args: - measurement_data (MeasurementData): Object holding measurement data for a species - """ - - # TODO verify globally global time - global_time = None - - for replicate in measurement_data.replicates: - - # Assign the EnzymeML document for compliant changes - # of units when already added to the document - replicate._enzmldoc = measurement_data._enzmldoc - - # Convert unit - time_unit_id = self._convertToUnitDef(replicate.time_unit) - data_unit_id = self._convertToUnitDef(replicate.data_unit) - - # Assign unit IDs - replicate._data_unit_id = data_unit_id - replicate._time_unit_id = time_unit_id - - global_time = replicate.time - - return global_time - - def _updateReplicateMeasurementIDs( - self, measurement_data_dict: Dict[str, MeasurementData], measurement_id: str - ): - """Updates the measurement IDs of replicates.""" - for measurement_data in measurement_data_dict.values(): - measurement_data.measurement_id = measurement_id - replicates = measurement_data.replicates - for replicate in replicates: - replicate.measurement_id = measurement_id - - def _checkMeasurementConsistency(self, measurement: Measurement) -> None: - """Checks if the used species in the measurement are consistent with the EnzymeML document. - - Args: - measurement (MeasurementData): Objech holding measurement data for a species. - """ - - map(self._checkSpecies, measurement.species_dict["reactants"]) - map(self._checkSpecies, measurement.species_dict["proteins"]) - - def _checkSpecies(self, species_id): - """Checks if a species is defined in the EnzymeML document. - - Args: - species_id (str): Unique identifier of the species. - - Raises: - SpeciesNotFoundError: Raised when a species is not defined in the EnzymeML document. - """ - - all_species = {**self.reactant_dict, **self.protein_dict, **self.complex_dict} - - if species_id not in all_species.keys(): - - # Retrieve species for ontology - species = self._getSpecies( - id=species_id, - dictionary=all_species, - element_type="Proteins/Reactants/Complexes", - ) - - # Use the EnzymeMLPart Enum to derive the correct place - sbo_term = SBOTerm(species.__dict__["ontology"]).name - enzymeml_part = EnzymeMLPart.partFromSBOTerm(sbo_term) - - # Raise an error if the species is nowhere present - raise SpeciesNotFoundError( - species_id=species_id, enzymeml_part=enzymeml_part - ) - - def _convertToUnitDef(self, unit: Optional[str]) -> str: - """Reads an SI unit string and converts it into a EnzymeML compatible UnitDef - - Args: - unit (str): String representing the SI unit. - - Returns: - str: Unique identifier of the UnitDef. - """ - - if unit is None: - raise TypeError("No unit given.") - elif unit in self._unit_dict.keys(): - return unit - - return UnitCreator().getUnit(unit, self) - - # ! Getter methods - def getSpeciesIDs(self) -> List[str]: - return list( - {**self.protein_dict, **self.reactant_dict, **self.complex_dict}.keys() - ) - - def getUnitString(self, unit_id: Optional[str]) -> str: - """Return the unit name corresponding to the given unit ID. - - Args: - unit_id (str): Unique internal ID of the unit. - - Raises: - SpeciesNotFoundError: Raised when the requested unit is not found. - - Returns: - str: String representation of the unit. - """ - - if unit_id is None: - raise TypeError("No unit given.") - - try: - return self._unit_dict[unit_id].name - except KeyError: - raise SpeciesNotFoundError(species_id=unit_id, enzymeml_part="Units") - - def getUnitDef(self, id: str) -> UnitDef: - """Returns the unit associated with the given ID. - - Args: - id (str): Unique internal ID of the unit. - - Raises: - SpeciesNotFoundError: Raised when the requested unit is not found. - - Returns: - UnitDef: The corresponding unit object. - """ - - return self._getSpecies( - id=id, - dictionary=self._unit_dict, - element_type="Units", - ) - - def getVessel(self, id: str) -> Vessel: - """Returns the vessel associated with the given ID. - - Args: - id (str): Unique internal ID of the vessel. - - Raises: - SpeciesNotFoundError: Raised when the requested vessel is not found. - - Returns: - Vessel: The corresponding unit object. - """ - - return self._getSpecies( - id=id, - dictionary=self.vessel_dict, - element_type="Vessels", - ) - - def getReaction(self, id: str) -> EnzymeReaction: - """Returns the reaction associated with the given ID. - - Args: - id (str): Unique internal ID of the reaction. - - Raises: - SpeciesNotFoundError: Raised when the requested reaction is not found. - - Returns: - EnzymeReaction: The corresponding reaction object. - """ - - return self._getSpecies( - id=id, - dictionary=self.reaction_dict, - element_type="EnzymeReaction", - ) - - def getMeasurement(self, id: str) -> Measurement: - """Returns the measurement associated with the given ID. - - Args: - id (str): Unique internal ID of the measurement. - - Raises: - SpeciesNotFoundError: Raised when the requested measurement is not found. - - Returns: - Measurement: The corresponding measurement object. - """ - - return self._getSpecies( - id=id, - dictionary=self.measurement_dict, - element_type="Measurement", - ) - - def getReactant(self, id: str) -> Reactant: - """Returns the reactant associated with the given ID. - - Args: - id (str): Unique internal ID of the reactant. - - Raises: - SpeciesNotFoundError: Raised when the requested reactant is not found. - - Returns: - Reactant: The corresponding reactant object. - """ - - return self._getSpecies( - id=id, - dictionary=self.reactant_dict, - element_type="Reactant", - ) - - def getProtein(self, id: str) -> Protein: - """Returns the protein associated with the given ID. - - Args: - id (str): Unique internal ID of the protein. - - Raises: - SpeciesNotFoundError: Raised when the requested protein is not found. - - Returns: - Protein: The corresponding protein object. - """ - - return self._getSpecies( - id=id, - dictionary=self.protein_dict, - element_type="Protein", - ) - - def getFile(self, id: str, by_id: bool = True) -> dict: - """Returns the file associated with the given ID. - - Args: - id (str): Unique internal ID of the file. - - Raises: - SpeciesNotFoundError: Raised when the requested file is not found. - - Returns: - Dict[str, dict]: The corresponding file object. - """ - - if by_id: - return self.file_dict[id] - else: - return next( - filter(lambda file: file["name"] == id, self.file_dict.values()) - ) - - def getAny(self, id: str) -> AbstractSpecies: - """Returns anything associated with the given ID. - - Args: - id (str): Unique internal ID of the object. - - Raises: - SpeciesNotFoundError: Raised when the requested object is not found. - - Returns: - Dict[str, dict]: The corresponding file object. - """ - - all_dicts = { - **self._unit_dict, - **self.vessel_dict, - **self.reactant_dict, - **self.protein_dict, - **self.complex_dict, - **self.reaction_dict, - } - - return self._getSpecies( - id=id, - dictionary=all_dicts, - element_type="Document", - ) - - def _getSpecies( - self, - id: str, - dictionary: dict, - element_type: str, - ): - """Helper function to retrieve any kind of species from the EnzymeML document. - - Args: - id (str): Unique internal ID. - dictionary (dict): Dictionary that stores all objects. - element_type (str): Type of object that is in the dictionary. - - Raises: - SpeciesNotFoundError: Raised when the requested species is not found. - - Returns: - Union[ AbstractSpecies, EnzymeReaction, Measurement ]: The requested object - """ - - for attr in ["id", "name"]: - species = self._search_object(value=id, attr=attr, dictionary=dictionary) - - if species: - return species - - raise SpeciesNotFoundError(species_id=id, enzymeml_part=element_type) - - def _search_object(self, value, attr: str, dictionary: dict): - """Filters a given dictionary for an attributes and returns it if found. - - Args: - value ([type]): Term that is searched for. - attr (str): Corresponding attribute to look for. - dictionary (dict): Dictionary that si searched. - - Returns: - AbstractSpecies: Species from the EnzymeML document. - """ - - try: - # Filter the dict for the desired species - return next( - filter(lambda obj: obj.__dict__[attr] == value, dictionary.values()) - ) - except StopIteration: - return None - - def getReactantList(self) -> List[Reactant]: - """Returns a list of all reactants in the EnzymeML document." - - Returns: - List[Reactant]: List of all reactants in the EnzymeML document. - """ - return self._getSpeciesList(self.reactant_dict) - - def getProteinList(self) -> List[Protein]: - """Returns a list of all proteins in the EnzymeML document." - - Returns: - List[Protein]: List of all proteins in the EnzymeML document. - """ - return self._getSpeciesList(self.protein_dict) - - def getReactionList(self) -> List[EnzymeReaction]: - """Returns a list of all reactions in the EnzymeML document." - - Returns: - List[EnzymeReaction]: List of all reactions in the EnzymeML document. - """ - return self._getSpeciesList(self.reaction_dict) - - def getFilesList(self): - """Returns a list of all files in the EnzymeML document." - - Returns: - List[dict]: List of all files in the EnzymeML document. - """ - return self._getSpeciesList(self.file_dict) - - @staticmethod - def _getSpeciesList(dictionary: dict) -> list: - """Helper function to retrieve lists of dicitonary objects - - Args: - dictionary (dict): Dictionary of corresponding elements - - Returns: - list: Returns all values in the dictionary - """ - return list(dictionary.values()) - - @deprecated_getter("doi") - def getDoi(self) -> Optional[str]: - return self.doi - - @deprecated_getter("pubmedid") - def getPubmedID(self) -> Optional[str]: - return self.pubmedid - - @deprecated_getter("url") - def getUrl(self) -> Optional[str]: - return self.url - - @deprecated_getter("created") - def get_created(self): - return self.created - - @deprecated_getter("modified") - def getModified(self): - return self.modified - - @deprecated_getter("creators") - def getCreator(self): - return self.creator_dict - - @deprecated_getter("name") - def getName(self): - return self.name - - @deprecated_getter("level") - def getLevel(self): - return self.level - - @deprecated_getter("version") - def getVersion(self): - return self.version - - @deprecated_getter("protein_dict") - def getProteinDict(self): - return self.protein_dict - - @deprecated_getter("reactant_dict") - def getReactantDict(self): - return self.reactant_dict - - @deprecated_getter("reaction_dict") - def getReactionDict(self): - return self.reaction_dict - - @deprecated_getter("measurement_dict") - def getMeasurementDict(self): - return self.measurement_dict - - @deprecated_getter("unit_dict") - def getUnitDict(self): - return self._unit_dict - - @deprecated_getter("file_dict") - def getFileDict(self): - return self.file_dict diff --git a/pyenzyme/enzymeml/core/enzymereaction.py b/pyenzyme/enzymeml/core/enzymereaction.py deleted file mode 100644 index a09ffcf5..00000000 --- a/pyenzyme/enzymeml/core/enzymereaction.py +++ /dev/null @@ -1,732 +0,0 @@ -# File: enzymereaction.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import logging -import re -import ast - -from typing import List, Dict, Union, Optional, TYPE_CHECKING -from dataclasses import dataclass -from pydantic import ( - BaseModel, - PositiveFloat, - validate_arguments, - Field, - PrivateAttr, - validator, -) - -from pyenzyme.enzymeml.core.enzymemlbase import EnzymeMLBase -from pyenzyme.enzymeml.models.kineticmodel import KineticModel -from pyenzyme.enzymeml.core.ontology import SBOTerm -from pyenzyme.enzymeml.core.exceptions import ( - SpeciesNotFoundError, -) - -from pyenzyme.utils.log import log_object -from pyenzyme.enzymeml.core.utils import type_checking, deprecated_getter - -if TYPE_CHECKING: # pragma: no cover - static_check_init_args = dataclass -else: - static_check_init_args = type_checking - -# Initialize the logger -logger = logging.getLogger("pyenzyme") - - -@static_check_init_args -class ReactionElement(BaseModel): - """Describes an element of a chemical reaction.""" - - species_id: str = Field( - ..., - description="Internal identifier to either a protein or reactant defined in the EnzymeMLDocument.", - ) - - stoichiometry: PositiveFloat = Field( - ..., - description="Positive float number representing the associated stoichiometry.", - ) - - constant: bool = Field( - ..., - description="Whether or not the concentration of this species remains constant.", - ) - - ontology: SBOTerm = Field( - ..., - description="Ontology defining the role of the given species.", - ) - - def get_id(self) -> str: - """Internal usage to get IDs from objects without ID attribute""" - - if self.species_id: - return self.species_id - else: - raise AttributeError("No species ID given.") - - -@static_check_init_args -class EnzymeReaction(EnzymeMLBase): - """ - Describes an enzyme reaction by combining already defined - reactants/proteins of an EnzymeML document. In addition, - this class provides ways to integrate reaction conditions - as well. It is also possible to add a kinetic law to this - object by using the KineticModel class. - """ - - name: str = Field(..., description="Name of the reaction.", template_alias="Name") - - reversible: bool = Field( - ..., - description="Whether the reaction is reversible or irreversible", - template_alias="Reversible", - ) - - temperature: Optional[float] = Field( - None, - description="Numeric value of the temperature of the reaction.", - template_alias="Temperature value", - ) - - temperature_unit: Optional[str] = Field( - None, - description="Unit of the temperature of the reaction.", - regex=r"kelvin|Kelvin|k|K|celsius|Celsius|C|c", - template_alias="Temperature unit", - ) - - ph: Optional[float] = Field( - None, - description="PH value of the reaction.", - template_alias="pH value", - inclusiveMinimum=0, - inclusiveMaximum=14, - ) - - ontology: SBOTerm = Field( - SBOTerm.BIOCHEMICAL_REACTION, - description="Ontology defining the role of the given species.", - ) - - meta_id: Optional[str] = Field( - None, - description="Unique meta identifier for the reaction.", - ) - - id: Optional[str] = Field( - None, - description="Unique identifier of the reaction.", - template_alias="ID", - regex=r"r[\d]+", - ) - - uri: Optional[str] = Field( - None, - description="URI of the reaction.", - ) - - creator_id: Optional[str] = Field( - None, - description="Unique identifier of the author.", - ) - - model: Optional[KineticModel] = Field( - None, - description="Kinetic model decribing the reaction.", - ) - - educts: List[ReactionElement] = Field( - default_factory=list, - description="List of educts containing ReactionElement objects.", - template_alias="Educts", - ) - - products: List[ReactionElement] = Field( - default_factory=list, - description="List of products containing ReactionElement objects.", - template_alias="Products", - ) - - modifiers: List[ReactionElement] = Field( - default_factory=list, - description="List of modifiers (Proteins, snhibitors, stimulators) containing ReactionElement objects.", - template_alias="Modifiers", - ) - - # * Private attributes - _temperature_unit_id: str = PrivateAttr(None) - _enzmldoc = PrivateAttr(default=None) - - # ! Validators - @validator("id") - def set_meta_id(cls, id: Optional[str], values: dict): - """Sets the meta ID when an ID is provided""" - - if id: - # Set Meta ID with ID - values["meta_id"] = f"METAID_{id.upper()}" - - return id - - @validator("temperature_unit") - def convert_temperature_unit(cls, unit, values): - """Converts celsius to kelvin due to SBML limitations""" - - if unit: - if unit.lower() in ["celsius", "c"]: - values["temperature"] = values["temperature"] + 273.15 - return "K" - - return unit - - # ! Getters - def getEduct(self, id: str) -> ReactionElement: - """ - Returns a ReactionElement including information about the following properties: - - - Reactant/Protein Identifier - - Stoichiometry of the element - - Whether or not the element's concentration is constant - - Args: - id (string): Reactant/Protein ID - - Raises: - SpeciesNotFoundError: If species ID is unfindable - - Returns: - ReactionElement: Object including species ID, stoichiometry, constant) - """ - - return self._getReactionElement( - id=id, element_list=self.educts, element_type="Educts" - ) - - def getProduct(self, id: str) -> ReactionElement: - """ - Returns a ReactionElement including information about the following properties: - - - Reactant/Protein Identifier - - Stoichiometry of the element - - Whether or not the element's concentration is constant - - Args: - id (string): Reactant/Protein ID - - Raises: - SpeciesNotFoundError: If species ID is unfindable - - Returns: - ReactionElement: Object including species ID, stoichiometry, constant) - """ - - return self._getReactionElement( - id=id, element_list=self.products, element_type="Products" - ) - - def getModifier(self, id: str) -> ReactionElement: - """ - Returns a ReactionElement including information about the following properties: - - - Reactant/Protein Identifier - - Stoichiometry of the element - - Whether or not the element's concentration is constant - - Args: - id (string): Reactant/Protein ID - - Raises: - SpeciesNotFoundError: If species ID is unfindable - - Returns: - ReactionElement: Object including species ID, stoichiometry, constant) - """ - - return self._getReactionElement( - id=id, element_list=self.modifiers, element_type="Modifiers" - ) - - @validate_arguments - def _getReactionElement( - self, - id: str, - element_list: List[ReactionElement], - element_type: str, - ) -> ReactionElement: - - try: - return next(filter(lambda element: element.species_id == id, element_list)) - except StopIteration: - raise SpeciesNotFoundError(species_id=id, enzymeml_part=element_type) - - # ! Adders - @validate_arguments - def addEduct( - self, - species_id: str, - stoichiometry: PositiveFloat, - enzmldoc, - constant: bool = False, - ontology: SBOTerm = SBOTerm.SUBSTRATE, - ) -> None: - """ - Adds element to EnzymeReaction object. Replicates as well - as initial concentrations are optional. - - Args: - species_id: str (string): Reactant/Protein ID - Needs to be pre-defined! - stoichiometry (float): Stoichiometric coefficient - constant: (bool): Whether constant or not - enzmldoc (EnzymeMLDocument): Checks and adds IDs - - Raises: - SpeciesNotFoundError: If Reactant/Protein hasnt been defined yet - """ - - self._addElement( - species_id=species_id, - stoichiometry=stoichiometry, - constant=constant, - element_list=self.educts, - ontology=ontology, - list_name="educts", - enzmldoc=enzmldoc, - ) - - @validate_arguments - def addProduct( - self, - species_id: str, - stoichiometry: PositiveFloat, - enzmldoc, - constant: bool = False, - ontology: SBOTerm = SBOTerm.PRODUCT, - ) -> None: - """ - Adds element to EnzymeReaction object. Replicates as well - as initial concentrations are optional. - - Args: - species_id: str (string): Reactant/Protein ID - Needs to be pre-defined! - stoichiometry (float): Stoichiometric coefficient - constant: (bool): Whether constant or not - enzmldoc (EnzymeMLDocument): Checks and adds IDs - - Raises: - SpeciesNotFoundError: If Reactant/Protein hasnt been defined yet - """ - - self._addElement( - species_id=species_id, - stoichiometry=stoichiometry, - constant=constant, - element_list=self.products, - ontology=ontology, - list_name="products", - enzmldoc=enzmldoc, - ) - - @validate_arguments - def addModifier( - self, - species_id: str, - stoichiometry: PositiveFloat, - enzmldoc, - constant: bool, - ontology: SBOTerm = SBOTerm.CATALYST, - ) -> None: - """ - Adds element to EnzymeReaction object. Replicates as well - as initial concentrations are optional. - - Args: - species_id: str (string): Reactant/Protein ID - Needs to be pre-defined! - stoichiometry (float): Stoichiometric coefficient - constant: (bool): Whether constant or not - enzmldoc (EnzymeMLDocument): Checks and adds IDs - - Raises: - SpeciesNotFoundError: If Reactant/Protein hasnt been defined yet - """ - - self._addElement( - species_id=species_id, - stoichiometry=stoichiometry, - constant=constant, - element_list=self.modifiers, - ontology=ontology, - list_name="modifiers", - enzmldoc=enzmldoc, - ) - - def _addElement( - self, - species_id: str, - stoichiometry: PositiveFloat, - constant: bool, - element_list: List[ReactionElement], - ontology: SBOTerm, - list_name: str, - enzmldoc, - ) -> None: - - # Check if species is part of document already - all_species = [ - *list(enzmldoc.protein_dict.keys()), - *list(enzmldoc.reactant_dict.keys()), - *list(enzmldoc.complex_dict.keys()), - ] - - if species_id not in all_species: - raise SpeciesNotFoundError( - species_id=species_id, enzymeml_part="EnzymeMLDocument" - ) - - # Add element to the respecticve list - element = ReactionElement( - species_id=species_id, - stoichiometry=stoichiometry, - constant=constant, - ontology=ontology, - ) - element_list.append(element) - - # Log the addition - log_object(logger, element) - logger.debug( - f"Added {type(element).__name__} '{element.species_id}' to reaction '{self.name}' {list_name}" - ) - - def setModel( - self, - model: KineticModel, - enzmldoc, - mapping: Dict[str, str] = {}, - log: bool = True, - ) -> None: - """Sets the kinetic model of the reaction and in addition converts all units to UnitDefs. - - Args: - model (KineticModel): Kinetic model that has been derived. - enzmldoc (EnzymeMLDocument): The EnzymeMLDocument that holds the reaction. - """ - - # ID consistency - enzmldoc._check_kinetic_model_ids( - model=model, - ) - - # Unit conversion - enzmldoc._convert_kinetic_model_units(model.parameters, enzmldoc=enzmldoc) - - # Replace kinetic parameter names to customize names if specified - for param_old, param_new in mapping.items(): - - model.equation = model.equation.replace(param_old, param_new) - - for parameter in model.parameters: - - if enzmldoc.global_parameters.get(param_new): - # Set a global parameter if specified - model.parameters.remove(parameter) - model.parameters.append(enzmldoc.global_parameters[param_new]) - else: - # If still local, just change the name - parameter.name = param_new - - if log: - # Log creator object - log_object(logger, model) - logger.debug( - f"Added {type(model).__name__} '{model.name}' to reaction '{self.name}'" - ) - - self.model = model - - # ! Utilities - def get_reaction_scheme(self, by_name: bool = False, enzmldoc=None): - - if by_name and enzmldoc is None: - raise ValueError( - "Please provide an EnzymeMLDocument if the reaction schem should include names" - ) - - # Determine the appropriate arrow - direction = "<=>" if self.reversible else "->" - - educts = self._summarize_elements(self.educts, by_name, enzmldoc) - products = self._summarize_elements(self.products, by_name, enzmldoc) - modifiers = self._summarize_elements(self.modifiers, by_name, enzmldoc).replace( - " + ", ", " - ) - - if self.model: - equation = ( - "v = " - + self._convert_equation_ids_to_names( - self.model.equation, by_name, enzmldoc - ) - + "\n" - ) - else: - equation = "" - - if modifiers: - return f">{self.name}\nEquation: {educts} {direction} {products}\nModifiers: {modifiers}\n{equation}\n" - else: - return f">{self.name}\nEquation: {educts} {direction} {products}\nModel: {equation}\n" - - def _summarize_elements(self, elements: list, by_name, enzmldoc) -> str: - """Parses all reaction elements of a list to a string""" - - if by_name is False: - return " + ".join( - [ - f"{element.stoichiometry} {element.species_id}" - for element in elements - ] - ) - else: - return " + ".join( - [ - f"{element.stoichiometry} {enzmldoc.getAny(element.species_id).name}" - for element in elements - ] - ) - - def _convert_equation_ids_to_names( - self, equation: str, by_name: bool, enzmldoc - ) -> str: - """Converts species IDs to names for readable elements when printing reaction schemes""" - - if by_name is False: - return equation - - for node in ast.walk(ast.parse(equation)): - if isinstance(node, ast.Name): - try: - name = enzmldoc.getAny(node.id).name - equation = equation.replace(node.id, name) - except SpeciesNotFoundError: - pass - - return equation - - def getStoichiometricCoefficients(self) -> Dict[str, float]: - """Returns the approprate stoichiometric coefficients of all educts and products. - - This function is intended to be used for modeling, where data should be easily accessible. - - Returns: - Dict[str, float]: Mapping from identifier to stiochiometric coefficient. - """ - - return { - **{element.species_id: element.stoichiometry for element in self.educts}, - **{ - element.species_id: (-1) * element.stoichiometry - for element in self.products - }, - } - - def apply_initial_values( - self, config: Dict[str, dict], to_values: bool = False - ) -> None: - """Applies the initial values for all given parameters to the underlying model. - - Args: - kwargs (Dict[str, float]): Mapping from the parameter name to the given initial value. - """ - - if not self.model: - raise ValueError( - f"Reaction {self.name} ({self.id}) has no associated model. Please specify a model to add initial values." - ) - - for param_name, options in config.items(): - - param = self.model.getParameter(param_name) - - if to_values: - param.value = options.get("initial_value") - param.initial_value = options.get("initial_value") - param.upper = options.get("upper") - param.lower = options.get("lower") - param.constant = options.get("constant") - - # ! Initializers - - @classmethod - def fromEquation( - cls, - equation: str, - name: str, - enzmldoc, - modifiers: Union[List[str], str] = [], - temperature: Optional[float] = None, - temperature_unit: Optional[str] = None, - ph: Optional[float] = None, - ): - """Creates an EnzymeReaction object from a reaction equation. - - Please make sure that the equation follows either of the following patterns: - - '1.0 Substrate -> 1.0 Product' (for irreversible) - - or - - '1.0 Substrate <=> 1.0 Product' (for reversible) - - Args: - equation (str): Reaction equation with educt and product sides. - name (str): Name of the reaction. - reversible (bool): If the reaction is reversible or not. Defaults - enzmldoc ([type]): Used to validate species IDs. - """ - - if isinstance(modifiers, str): - # Catch single modifiers - modifiers = [modifiers] - - if "=" in equation: - reversible = True - elif "->" in equation: - reversible = False - else: - raise ValueError( - "Neither '->' nor '<=>' were found in the reaction euqation, but are essential to distinguish educt from product side." - ) - - # Initialize reaction object - reaction = cls( - name=name, - reversible=reversible, - temperature=temperature, - temperature_unit=temperature_unit, - ph=ph, - ) - - for modifier in modifiers: - # Add modifiers - reaction.addModifier( - species_id=enzmldoc.getAny(modifier).id, - constant=True, - stoichiometry=1.0, - enzmldoc=enzmldoc, - ) - - # Parse the reaction equation - reaction._addFromEquation(equation, enzmldoc) - - return reaction - - def _addFromEquation(self, reaction_equation: str, enzmldoc) -> None: - """Parses a reaction equation string and adds it to the model. - - Args: - reaction_equation (str): Strign representing th reaction equation, following the schem r'' - enzmldoc ([type]): [description] - """ - - # Split reaction is educts and products - if "->" in reaction_equation: - educts, products = reaction_equation.split(" -> ") - elif "=" in reaction_equation: - educts, products = reaction_equation.split(" = ") - else: - raise ValueError( - "Neither '->' nor '<=>' were found in the reaction euqation, but are essential to distinguish educt from product side." - ) - - if not educts or not products: - raise ValueError( - "Reaction equation is incomplete. Please make sure both sides contain information." - ) - - # Parse each side of the reaction - self._parse_equation_side(educts, enzmldoc, self.addEduct) - self._parse_equation_side(products, enzmldoc, self.addProduct) - - @staticmethod - def _parse_equation_side(elements: str, enzmldoc, fun): - """Parses a side from a reaction equation.""" - - # Setup Regex - regex = r"(^\d*[.,]\d*)?\s?(.*)" - regex = re.compile(regex) - - for element in elements.split(" + "): - stoichiometry, species = regex.findall(element)[0] - - if len(stoichiometry) == 0: - stoichiometry = 1.0 - - if re.match(r"^[p|s|c]\d*$", species): - species_id = species - else: - species_id = enzmldoc.getAny(species).id - - # Add it to the reaction - fun( - species_id=species_id, - stoichiometry=float(stoichiometry), - enzmldoc=enzmldoc, - constant=False, - ) - - # ! Getters - def unitdef(self): - """Returns the appropriate unitdef if an enzmldoc is given""" - - if not self._enzmldoc: - return None - - return self._enzmldoc._unit_dict[self._temperature_unit_id] - - def getTemperature(self) -> float: - raise NotImplementedError("Temperature is now part of measurements.") - - def getTempunit(self) -> str: - raise NotImplementedError("Temperature unit is now part of measurements.") - - def getPh(self) -> PositiveFloat: - raise NotImplementedError("Ph is now part of measurements.") - - @deprecated_getter("name instead") - def getName(self) -> str: - return self.name - - @deprecated_getter("reveserible") - def getReversible(self) -> bool: - return self.reversible - - @deprecated_getter("id") - def getId(self) -> Optional[str]: - return self.id - - @deprecated_getter("meta_id") - def getMetaid(self) -> Optional[str]: - return self.meta_id - - @deprecated_getter("model") - def getModel(self) -> Optional[KineticModel]: - return self.model - - @deprecated_getter("educts") - def getEducts(self): - return self.educts - - @deprecated_getter("products") - def getProducts(self): - return self.products - - @deprecated_getter("modifier") - def getModifiers(self): - return self.modifiers diff --git a/pyenzyme/enzymeml/core/exceptions.py b/pyenzyme/enzymeml/core/exceptions.py deleted file mode 100644 index 5a20afb4..00000000 --- a/pyenzyme/enzymeml/core/exceptions.py +++ /dev/null @@ -1,92 +0,0 @@ -# File: functionalities.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import yaml - -from typing import Union, Optional - - -class SpeciesNotFoundError(Exception): - """Raised when a species hasnt been found in a specific element""" - - def __init__( - self, - species_id: str, - enzymeml_part: str, - message: str = "Species ID has not been found", - ): - self.species_id = species_id - self.enzymeml_part = enzymeml_part - self.message = message - super().__init__(self.message) - - def __str__(self) -> str: - return f"{self.species_id} in {self.enzymeml_part} -> {self.message}" - - -class MeasurementDataSpeciesIdentifierError(Exception): - """Raised when either no ID has been assigned to a measurementData""" - - def __init__(self, both: Optional[list] = None): - - if both: - self.message = f"Both reactant ({both[0]}) and protein ({both[1]}) have been ID assigned to a measurement. Please specifiy either one of those." - else: - self.message = ( - "Neither a reactant not protein has been ID assigned to measurement." - ) - - super().__init__(self.message) - - def __str__(self) -> str: - return self.message - - -class ParticipantIdentifierError(Exception): - """Raised when an ID does not match the expected format""" - - def __init__(self, id: str, prefix: str) -> None: - self.prefix = prefix - self.id = id - - def __str__(self) -> str: - return f"Identifier '{self.id}' does not match the expected format of '{self.prefix}[digits]'." - - -class ECNumberError(Exception): - """Raised when an EC number does not match the pattern convenrtion""" - - def __init__(self, ecnumber: str): - self.ecnumber = ecnumber - - def __str__(self) -> str: - return f"EC number {self.ecnumber} does not match the pattern. Please specifify as X.X.X.X" - - -class DataError(Exception): - """Raised when incomplete data has been assigned to a replicate""" - - pass - - -class ChEBIIdentifierError(Exception): - """Raised when the CHEBI ID is incorrect.""" - - def __init__(self, chebi_id: Union[str, int]) -> None: - self.chebi_id = chebi_id - - def __str__(self) -> str: - return f"ChEBI ID {self.chebi_id} is invalid. Please provide a valid ChEBI ID." - - -class UniProtIdentifierError(Exception): - """Raised when the UniProt ID is incorrect.""" - - def __init__(self, uniprotid: Union[str, int]) -> None: - self.uniprotid = uniprotid - - def __str__(self) -> str: - return f"UniProt ID {self.uniprotid} is invalid. Please provide a valid UniProt ID." diff --git a/pyenzyme/enzymeml/core/measurement.py b/pyenzyme/enzymeml/core/measurement.py deleted file mode 100644 index c72b64e4..00000000 --- a/pyenzyme/enzymeml/core/measurement.py +++ /dev/null @@ -1,475 +0,0 @@ -# File: measurement.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import copy -import logging -import pandas as pd - -from typing import List, Dict, Tuple, Optional, TYPE_CHECKING, Union -from dataclasses import dataclass -from pydantic import validate_arguments, Field, PrivateAttr, validator - -from pyenzyme.enzymeml.core.enzymemlbase import EnzymeMLBase -from pyenzyme.enzymeml.core.measurementData import MeasurementData -from pyenzyme.enzymeml.core.replicate import Replicate -from pyenzyme.enzymeml.core.exceptions import SpeciesNotFoundError -from pyenzyme.utils.log import log_object -from pyenzyme.enzymeml.core.utils import type_checking, deprecated_getter - -if TYPE_CHECKING: # pragma: no cover - static_check_init_args = dataclass -else: - static_check_init_args = type_checking - -# Initialize the logger -logger = logging.getLogger("pyenzyme") - - -@static_check_init_args -class Measurement(EnzymeMLBase): - - name: str = Field( - ..., - description="Name of the measurement", - ) - - temperature: Optional[float] = Field( - None, - description="Numeric value of the temperature of the reaction.", - template_alias="Temperature value", - ) - - temperature_unit: Optional[str] = Field( - None, - description="Unit of the temperature of the reaction.", - regex=r"kelvin|Kelvin|k|K|celsius|Celsius|C|c", - ) - - ph: Optional[float] = Field( - None, - description="PH value of the reaction.", - inclusiveMinimum=0, - inclusiveMaximum=14, - ) - - species_dict: Dict[str, Dict[str, MeasurementData]] = Field( - {"proteins": {}, "reactants": {}}, - description="Species of the measurement.", - ) - - global_time: List[float] = Field( - default_factory=list, - description="Global time of the measurement all replicates agree on.", - ) - - global_time_unit: Optional[str] = Field( - None, - description="Unit of the global time.", - ) - - id: Optional[str] = Field( - None, description="Unique identifier of the measurement.", regex=r"m[\d]+" - ) - - uri: Optional[str] = Field( - None, - description="URI of the reaction.", - ) - - creator_id: Optional[str] = Field( - None, - description="Unique identifier of the author.", - ) - - # * Private attributes - _temperature_unit_id: str = PrivateAttr(None) - _global_time_unit_id: str = PrivateAttr(None) - _enzmldoc = PrivateAttr(default=None) - - # ! Validators - @validator("temperature_unit") - def convert_temperature_unit(cls, unit, values): - """Converts celsius to kelvin due to SBML limitations""" - - if unit: - if unit.lower() in ["celsius", "c"]: - values["temperature"] = values["temperature"] + 273.15 - return "K" - - return unit - - # ! Utility methods - def __repr__(self): - return self.printMeasurementScheme(stdout=False) - - def printMeasurementScheme( - self, species_type: str = "all", stdout: bool = True - ) -> Optional[str]: - """Prints the scheme of the measurement and as such an overview of what has been done. - - Args: - species_type (str, optional): Specifies whether only "reactants"/"proteins" should be displayed or all of them. Defaults to "all". - """ - - # Get all measurement data objects - reactants = self.getReactants() - proteins = self.getProteins() - - if species_type == "reactants": - species = list(reactants.values()) - elif species_type == "proteins": - species = list(proteins.values()) - elif species_type == "all": - species = list(reactants.values()) + list(proteins.values()) - else: - raise ValueError( - f"Species type of {species_type} is not supported. Please enter use one of the following: 'reactants', 'proteins' or 'all'." - ) - - # Start printing - output = [] - output.append(f">>> Measurement {self.id}: {self.name}") - - for meas_data in species: - output.append( - f" {meas_data.get_id()} | initial conc: {meas_data.init_conc} {meas_data.unit} \t| #replicates: {len(meas_data.replicates)}" - ) - - output = "\n".join(output) - - if stdout: - print(output) - else: - return output - - def exportData( - self, species_ids: Union[str, List[str]] = "all" - ) -> Dict[str, Dict[str, Union[Dict[str, Tuple[float, str]], pd.DataFrame]]]: - """Returns data stored in the measurement object as DataFrames nested in dictionaries. These are sorted hierarchially by reactions where each holds a DataFrame each for proteins and reactants. - - Returns: - measurements (dict): Follows the hierarchy Reactions > Proteins/Reactants > { initial_concentration, data } - species_ids (Union[str, List[str]]): List of species IDs to extract data from. Defaults to 'all'. - """ - - # Combine Replicate objects for each reaction - proteins = self._combineReplicates( - measurement_species=self.species_dict["proteins"], species_ids=species_ids - ) - reactants = self._combineReplicates( - measurement_species=self.species_dict["reactants"], species_ids=species_ids - ) - - return {"proteins": proteins, "reactants": reactants} - - def _combineReplicates( - self, - measurement_species: Dict[str, MeasurementData], - species_ids: Union[str, List[str]] = "all", - ) -> Dict[str, Union[Dict[str, Tuple[float, str]], pd.DataFrame]]: - """Combines replicates of a certain species to a dataframe. - - Args: - measurement_species (Dict[str, MeasurementData]): The species_dict from the measurement. - - Returns: - Dict[str, Any]: The associated replicat and initconc data. - """ - - if isinstance(species_ids, str): - species_ids = [species_ids] - - columns = {} - initial_concentration = {} - num_replicates = 0 - - # Iterate over measurementData to fill columns - for species_id, data in measurement_species.items(): - - if species_id in species_ids or species_ids == ["all"]: - - # Fetch initial concentration - initial_concentration[species_id] = (data.init_conc, data.unit) - - # Fetch replicate data - if len(data.replicates) > num_replicates: - num_replicates = len(data.replicates) - for replicate in data.replicates: - - if columns.get(species_id): - # For multiple replicates - columns[species_id] += copy.deepcopy(replicate.data) - else: - columns[species_id] = copy.deepcopy(replicate.data) - - # Add global time to columns according to the number of replicates - columns["time"] = self.global_time * num_replicates - - return { - "data": pd.DataFrame(columns) if len(columns) > 1 else pd.DataFrame(), - "initConc": initial_concentration, - } - - @validate_arguments - def addReplicates( - self, replicates: Union[List[Replicate], Replicate], enzmldoc, log: bool = True - ) -> None: - """Adds a replicate to the corresponding measurementData object. This method is meant to be called if the measurement metadata of a reaction/species has already been done and replicate data has to be added afterwards. If not, use addData instead to introduce the species metadata. - - Args: - replicate (List): Objects describing time course data - """ - - # Check if just a single Replicate has been handed - if isinstance(replicates, Replicate): - replicates = [replicates] - - for replicate in replicates: - - # Check for the species type - species_id = replicate.species_id - speciesType = "reactants" if species_id[0] == "s" else "proteins" - speciesData = self.species_dict[speciesType] - - try: - - data = speciesData[species_id] - - replicate._data_unit_id = enzmldoc._convertToUnitDef( - replicate.data_unit - ) - replicate._time_unit_id = enzmldoc._convertToUnitDef( - replicate.time_unit - ) - - data.addReplicate(replicate) - - if len(self.global_time) == 0: - - # Add global time if this is the first replicate to be added - self.global_time = replicate.time - self.global_time_unit = replicate.time_unit - self._global_time_unit_id = replicate._time_unit_id - - # Log Replicate creation - if log: - log_object(logger, replicate) - logger.debug( - f"Added {type(replicate).__name__} '{replicate.id}' to data '{data.get_id()}' of measurement '{self.name}'" - ) - - except KeyError: - raise KeyError( - f"{speciesType[0:-1]} {species_id} is not part of the measurement yet. If a {speciesType[0:-1]} hasnt been yet defined in a measurement object, use the addData method to define metadata first-hand. You can add the replicates in the same function call then." - ) - - @validate_arguments - def addData( - self, - unit: str, - init_conc: float = 0.0, - reactant_id: Optional[str] = None, - protein_id: Optional[str] = None, - replicates: List[Replicate] = [], - log: bool = True, - ) -> None: - """Adds data to the measurement object. - - Args: - init_conc (PositiveFloat): Corresponding initial concentration of species. - unit (str): The SI unit of the measurement. - reactant_id (Optional[str], optional): Identifier of the reactant that was measured. Defaults to None. - protein_id (Optional[str], optional): Identifier of the protein that was measured. Defaults to None. - replicates (List[Replicate], optional): List of replicates that were measured. Defaults to []. - """ - - self._appendReactantData( - reactant_id=reactant_id, - protein_id=protein_id, - init_conc=init_conc, - unit=unit, - replicates=replicates, - log=log, - ) - - def _appendReactantData( - self, - reactant_id: Optional[str], - protein_id: Optional[str], - init_conc: float, - unit: str, - replicates: List[Replicate], - log: bool = True, - ) -> None: - - # Create measurement data class before sorting - measData = MeasurementData( - reactant_id=reactant_id, - protein_id=protein_id, - init_conc=init_conc, - unit=unit, - replicates=replicates, - measurement_id=self.id, - ) - - if reactant_id: - self.species_dict["reactants"][reactant_id] = measData - elif protein_id: - self.species_dict["proteins"][protein_id] = measData - else: - raise ValueError( - "Please enter a reactant or protein ID to add measurement data" - ) - - # Log the new object - if log: - log_object(logger, measData) - logger.debug( - f"Added {type(measData).__name__} '{measData.get_id()}' to measurement '{self.name}'" - ) - - def updateReplicates(self, replicates: List[Replicate]) -> None: - for replicate in replicates: - # Set the measurement name for the replicate - replicate.measurement_id = self.name - - def _setReplicateMeasIDs(self) -> None: - """Sets the measurement IDs for the replicates.""" - for measData in self.species_dict["proteins"].values(): - measData.measurement_id = self.id - - for measData in self.species_dict["reactants"].values(): - measData.measurement_id = self.id - - def unifyUnits(self, kind: str, scale: int, enzmldoc) -> None: - """Rescales all replicates and measurements to match the scale of a unit kind. - - Args: - kind (str): The unit kind from which to rescale. Currently supported: 'mole', 'gram', 'litre'. - scale (int): Decade scale to which the values will be rescaled. - enzmldoc (EnzymeMLDocument): The EnzymeMLDocument to which the new unit will be added. - """ - - if kind not in ["mole", "gram", "litre"]: - raise ValueError( - f"Kind {kind} is not supported. Please use 'mole', 'gram', or 'litre'" - ) - - if abs(scale) % 3 > 0: - if abs(scale) == 1: - pass - else: - raise ValueError( - f"Scale {scale} is not a multiple of 3. Please make sure the scale is a multiple of 3." - ) - - for measurement_data in {**self.getProteins(), **self.getReactants()}.values(): - measurement_data.unifyUnits(kind=kind, scale=scale, enzmldoc=enzmldoc) - - def _has_replicates(self) -> bool: - """Checks whether replicates are present in the measurement. - - This is only used for the to check whether to write time course data or not. - - Returns: - bool: Returns True if there are any replicate otherwise False. - """ - - all_species = { - **self.species_dict["proteins"], - **self.species_dict["reactants"], - } - - for obj in all_species.values(): - if len(obj.replicates) > 0: - return True - - return False - - # ! Getters - def temperature_unitdef(self): - """Returns the appropriate unitdef if an enzmldoc is given""" - - if not self._enzmldoc: - return None - - return self._enzmldoc._unit_dict[self._temperature_unit_id] - - @validate_arguments - def getReactant(self, reactant_id: str) -> MeasurementData: - """Returns a single MeasurementData object for the given reactant_id. - - Args: - reactant_id (String): Unqiue identifier of the reactant - - Returns: - MeasurementData: Object representing the data and initial concentration - """ - return self._getSpecies(reactant_id) - - def getProtein(self, protein_id: str) -> MeasurementData: - """Returns a single MeasurementData object for the given protein_id. - - Args: - protein_id (String): Unqiue identifier of the protein - - Returns: - MeasurementData: Object representing the data and initial concentration - """ - return self._getSpecies(protein_id) - - def getReactants(self) -> Dict[str, MeasurementData]: - """Returns a dict of all participating reactants in the measurement. - - Returns: - dict: Dict of MeasurementData objects representing data - """ - return self.species_dict["reactants"] - - def getProteins(self) -> Dict[str, MeasurementData]: - """Returns a dict of all participating proteins in the measurement. - - Returns: - dict: Dict of MeasurementData objects representing data - """ - return self.species_dict["proteins"] - - def _getAllSpecies(self): - return {**self.species_dict["proteins"], **self.species_dict["reactants"]} - - @validate_arguments - def _getSpecies(self, species_id: str) -> MeasurementData: - all_species = { - **self.species_dict["proteins"], - **self.species_dict["reactants"], - } - - try: - return all_species[species_id] - except KeyError: - raise SpeciesNotFoundError( - species_id=species_id, enzymeml_part="Measurement" - ) - - @deprecated_getter("id") - def getId(self): - return self.id - - @deprecated_getter("global_time_unit") - def getGlobalTimeUnit(self): - return self.global_time_unit - - @deprecated_getter("global_time") - def getGlobalTime(self): - return self.global_time - - @deprecated_getter("name") - def getName(self): - return self.name - - @deprecated_getter("species_dict") - def getSpeciesDict(self): - return self.species_dict diff --git a/pyenzyme/enzymeml/core/measurementData.py b/pyenzyme/enzymeml/core/measurementData.py deleted file mode 100644 index affe014a..00000000 --- a/pyenzyme/enzymeml/core/measurementData.py +++ /dev/null @@ -1,195 +0,0 @@ -# File: measurementData.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from pydantic import PositiveFloat, validate_arguments, validator, Field, PrivateAttr -from dataclasses import dataclass -from typing import List, Optional, TYPE_CHECKING -from pyenzyme.enzymeml.core.enzymemlbase import EnzymeMLBase - -from pyenzyme.enzymeml.core.replicate import Replicate -from pyenzyme.enzymeml.core.exceptions import MeasurementDataSpeciesIdentifierError -from pyenzyme.enzymeml.core.unitdef import UnitDef -from pyenzyme.enzymeml.core.utils import type_checking, deprecated_getter - -if TYPE_CHECKING: # pragma: no cover - static_check_init_args = dataclass -else: - static_check_init_args = type_checking - - -@static_check_init_args -class MeasurementData(EnzymeMLBase): - """Helper class to organize elements""" - - init_conc: float = Field( - ..., - description="Initial concentration of the measurement data.", - ) - - unit: str = Field( - ..., - description="The unit of the measurement data.", - ) - - measurement_id: Optional[str] = Field( - None, - description="Unique measurement identifier this dataset belongs to.", - ) - - reactant_id: Optional[str] = Field( - None, - description="The identifier for the described reactant.", - ) - - protein_id: Optional[str] = Field( - None, - description="The identifier for the described protein.", - ) - - replicates: List[Replicate] = Field( - default_factory=list, - description="A list of replicate objects holding raw data of the measurement.", - ) - - # * Private - _unit_id: Optional[str] = PrivateAttr(default=None) - _enzmldoc = PrivateAttr(default=None) - - # ! Validators - - @validator("protein_id") - def check_id_occurences(cls, protein_id: str, values: dict): - reactant_id = values.get("reactant_id") - - if reactant_id is None and protein_id is None: - raise MeasurementDataSpeciesIdentifierError() - - elif reactant_id and protein_id: - raise MeasurementDataSpeciesIdentifierError(both=[reactant_id, protein_id]) - - return protein_id - - # ! Utilities - def unifyUnits(self, kind: str, scale: int, enzmldoc) -> Optional[str]: - """Rescales all replicates data_unit to match the desired scale. - - Args: - replicate (Replicate): Replicate object containing time course data. - kind (str): The kind of unit that will be rescaled. - scale (int): The scale to whih the data will be transformed. - enzmldoc ([type]): The EnzymeML document to which the new unit will be added. - """ - - unit_id = None - - # Transform initial concentration - unitdef: UnitDef = enzmldoc._unit_dict[self._unit_id].copy() - transform_value, new_unit_name, unit_id = self._getTransformation( - unitdef, kind, scale, enzmldoc - ) - - self.init_conc *= transform_value - self._unit_id = unit_id - self.unit = new_unit_name - - # Apply to replicates - for replicate in self.replicates: - self._rescaleReplicateUnits( - replicate=replicate, kind=kind, scale=scale, enzmldoc=enzmldoc - ) - - @staticmethod - def _getTransformation(unitdef: UnitDef, kind: str, scale: int, enzmldoc): - """Calculates the new transformation value and returns new UnitDef""" - - # Calculate transformation value - transform_value = unitdef.calculateTransformValue(kind=kind, scale=scale) - - # Create a new unit that matches the new scale - new_unitdef = UnitDef(**unitdef.dict()) - correction_factor = 1 if scale == 0 else 0 - - for base_unit in new_unitdef.units: - if base_unit.kind == kind: - base_unit.scale = scale + correction_factor - - new_unit_name = new_unitdef._getNewName() - unit_id = enzmldoc._convertToUnitDef(new_unit_name) - - return transform_value, new_unit_name, unit_id - - def _rescaleReplicateUnits( - self, replicate: Replicate, kind: str, scale: int, enzmldoc - ) -> None: - """Rescales a replicates data_unit to match the desired scale. - - Args: - replicate (Replicate): Replicate object containing time course data. - kind (str): The kind of unit that will be rescaled. - scale (int): The scale to whih the data will be transformed. - enzmldoc ([type]): The EnzymeML document to which the new unit will be added. - """ - - data_unit_id = replicate._data_unit_id - unitdef: UnitDef = enzmldoc._unit_dict[data_unit_id].copy() - - # Calculate the scale to transform the unit - transform_value, new_unit_name, unit_id = self._getTransformation( - unitdef, kind, scale, enzmldoc - ) - - # Re-scale and assign the new data of the replicate - replicate.data = [data_point * transform_value for data_point in replicate.data] - replicate._data_unit_id = unit_id - replicate.data_unit = new_unit_name - - @validate_arguments - def addReplicate(self, replicate: Replicate) -> None: - self.replicates.append(replicate) - - @validate_arguments - def setMeasurementIDs(self, id: str) -> None: - for replicate in self.replicates: - replicate.measurement_id = id - - def get_id(self) -> str: - """Internal usage to get IDs from objects without ID attribute""" - - if self.reactant_id: - return self.reactant_id - elif self.protein_id: - return self.protein_id - else: - raise AttributeError("Neither reactant nor protein ID are given.") - - # ! Getters - def unitdef(self): - """Returns the appropriate unitdef if an enzmldoc is given""" - - if not self._enzmldoc: - return None - - return self._enzmldoc._unit_dict[self._unit_id] - - @deprecated_getter("reactant_id") - def getReactantID(self) -> Optional[str]: - return self.reactant_id - - @deprecated_getter("protein_id") - def getProteinID(self) -> Optional[str]: - return self.protein_id - - @deprecated_getter("init_conc") - def getInitConc(self) -> PositiveFloat: - return self.init_conc - - @deprecated_getter("unit") - def getUnit(self) -> str: - return self.unit - - @deprecated_getter("replicates") - def getReplicates(self) -> List[Replicate]: - return self.replicates diff --git a/pyenzyme/enzymeml/core/ontology.py b/pyenzyme/enzymeml/core/ontology.py deleted file mode 100644 index 7ca18b80..00000000 --- a/pyenzyme/enzymeml/core/ontology.py +++ /dev/null @@ -1,89 +0,0 @@ -# File: ontology.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - - -from enum import Enum - - -class SBOTerm(str, Enum): - """String enumeration used to assign ontologies derived from SBOTerms.""" - - # Chemical reactions - BIOCHEMICAL_REACTION = "SBO:0000176" - ACID_BASE_REACTION = "SBO:0000208" - CONFORMATIONAL_TRANSITION = "SBO:0000181" - CONVERSION = "SBO:0000182" - DEGRADATION = "SBO:0000179" - DISSOCIATION = "SBO:0000180" - IONISATION = "SBO:0000209" - ISOMERISATION = "SBO:0000377" - NON_COVALENT_BINDING = "SBO:0000177" - REDOX_REACTION = "SBO:0000200" - SPONTANEOUS_REACTION = "SBO:0000672" - - # Chemical entities - PROTEIN = "SBO:0000252" - GENE = "SBO:0000251" - SMALL_MOLECULE = "SBO:0000247" - ION = "SBO:0000327" - RADICAL = "SBO:0000328" - - # Chemical relations - INTERACTOR = "SBO:0000336" - SUBSTRATE = "SBO:0000015" - PRODUCT = "SBO:0000011" - CATALYST = "SBO:0000013" - INHIBITOR = "SBO:0000020" - ESSENTIAL_ACTIVATOR = "SBO:0000461" - NON_ESSENTIAL_ACTIVATOR = "SBO:0000462" - POTENTIATOR = "SBO:0000021" - - # Complexes - MACROMOLECULAR_COMPLEX = "SBO:0000296" - PROTEIN_COMPLEX = "SBO:0000297" - DIMER = "SBO:0000607" - - # Kinetic models - MICHAELIS_MENTEN = "SBO:0000028" - - # Kinetic parameters - K_CAT = "SBO:0000025" - K_M = "SBO:0000027" - V_MAX = "SBO:0000186" - - -class DataTypes(str, Enum): - """String enumeration used to assign replicate type ontologies""" - - CONCENTRATION = "conc" - ABSORPTION = "abs" - FEED = "feed" - BIOMASS = "biomass" - CONVERSION = "conversion" - PEAK_AREA = "peak-area" - - -class EnzymeMLPart(str, Enum): - """Mapping to identify where entities are stored in the EnzymeML model.""" - - # Chemical entities - PROTEIN = "protein_dict" - SMALL_MOLECULE = "reactant_dict" - ION = "reactant_dict" - RADICAL = "reactant_dict" - MACROMOLECULAR_COMPLEX = "complex_dict" - PROTEIN_COMPLEX = "complex_dict" - DIMER = "complex_dict" - - @classmethod - def partFromSBOTerm(cls, sbo_term: str) -> str: - sbo_term = SBOTerm(sbo_term).name - return getattr(cls, sbo_term).value - - @classmethod - def entityFromSBOTerm(cls, sbo_term: str) -> str: - sbo_term = SBOTerm(sbo_term).name - return getattr(cls, sbo_term).name diff --git a/pyenzyme/enzymeml/core/protein.py b/pyenzyme/enzymeml/core/protein.py deleted file mode 100644 index 9cda2b77..00000000 --- a/pyenzyme/enzymeml/core/protein.py +++ /dev/null @@ -1,259 +0,0 @@ -# File: protein.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import re - -from pydantic import validator, Field -from typing import Dict, Optional, TYPE_CHECKING, Any -from dataclasses import dataclass - -from pyenzyme.enzymeml.core.ontology import SBOTerm -from pyenzyme.enzymeml.core.enzymemlbase import EnzymeMLBase -from pyenzyme.enzymeml.core.exceptions import UniProtIdentifierError -from pyenzyme.enzymeml.core.abstract_classes import AbstractSpecies -from pyenzyme.enzymeml.core.utils import type_checking, deprecated_getter - -if TYPE_CHECKING: # pragma: no cover - static_check_init_args = dataclass -else: - static_check_init_args = type_checking - - -@static_check_init_args -class Protein(EnzymeMLBase, AbstractSpecies): - - name: Optional[str] = Field( - None, description="Name of the protein", template_alias="Name" - ) - - sequence: Optional[str] = Field( - None, - description="Amino acid sequence of the protein", - template_alias="Sequence", - ) - - vessel_id: str = Field( - ..., - description="Identifier of the vessel in which the protein was stored.", - template_alias="Vessel", - regex=r"v[\d.]+", - ) - - init_conc: Optional[float] = Field( - default=None, - description="Initial concentration of the protein.", - ) - - unit: Optional[str] = Field( - None, - description="Unit of the proteins intial concentration.", - ) - - constant: bool = Field( - True, - description="Whether the proteins concentration remains constant or not.", - template_alias="Constant", - ) - - id: Optional[str] = Field( - None, - description="Unique identifier of the protein.", - template_alias="ID", - regex=r"p[\d]+", - ) - - meta_id: Optional[str] = Field( - None, - description="Unique meta identifier of the protein.", - ) - - ecnumber: Optional[str] = Field( - None, - description="EC number of the protein.", - template_alias="EC Number", - regex=r"(\d+.)(\d+.)(\d+.)(\d+)", - ) - - organism: Optional[str] = Field( - None, - description="Organism the protein was expressed in.", - template_alias="Source organism", - ) - - organism_tax_id: Optional[str] = Field( - None, - description="Taxonomy identifier of the expression host.", - ) - - boundary: bool = Field( - False, - description="Whether the protein is under any boundary conditions (SBML Technicality, better leave it to default)", - ) - - ontology: SBOTerm = Field( - SBOTerm.PROTEIN, - description="Ontology describing the characteristic of the protein.", - ) - - uri: Optional[str] = Field( - None, - description="URI of the protein.", - ) - - creator_id: Optional[str] = Field( - None, - description="Unique identifier of the author.", - ) - - uniprotid: Optional[str] = Field( - None, - description="Unique identifier referencing a protein entry at UniProt. Use this identifier to initialize the object from the UniProt database.", - template_alias="UniProt ID", - ) - - # ! Validators - @validator("id") - def set_meta_id(cls, id: Optional[str], values: dict): - """Sets the meta ID when an ID is provided""" - - if id: - # Set Meta ID with ID - values["meta_id"] = f"METAID_{id.upper()}" - - return id - - @validator("sequence") - def clean_sequence(cls, sequence): - """Cleans a sequence from whitespaces as well as newlines and transforms uppercase""" - - if sequence: - return re.sub(r"\s+", "", sequence).upper() - else: - return sequence - - # ! Initializers - @classmethod - def fromUniProtID( - cls, - uniprotid: str, - vessel_id: str, - init_conc: Optional[float] = None, - unit: Optional[str] = None, - constant: bool = False, - ) -> "Protein": - """Initializes a protein based on the UniProt database. - - Raises: - UniProtIdentifierError: Raised when the UniProt identifier is invalid. - - Returns: - Protein: The initialiized Protein object. - """ - - # Get UniProt Parameters - parameters = cls._getUniProtParameters(uniprotid=uniprotid) - - return cls( - init_conc=init_conc, - unit=unit, - vessel_id=vessel_id, - constant=constant, - uniprotid=uniprotid, - **parameters, - ) - - @staticmethod - def _getUniProtParameters(uniprotid: str) -> Dict[str, Any]: - import requests - import xml.etree.ElementTree as ET - - # Send request to CHEBI database - endpoint = f"https://www.uniprot.org/uniprot/{uniprotid}.xml" - - # Fetch data - response = requests.get(endpoint) - - # Check if the UniProt ID is correct - if response.status_code == 404: - raise UniProtIdentifierError(uniprotid=uniprotid) - - # Create XML Tree - tree = ET.ElementTree(ET.fromstring(response.text)) - - # Set prefix to match tag - prefix = r"{http://uniprot.org/uniprot}" - - # Define mapping for the used attributes - attribute_mapping = { - prefix + "sequence": "sequence", - prefix + "fullName": "name", - prefix + "ecNumber": "ecnumber", - } - - # Collect parameters - parameters = {} - for elem in tree.iter(): - if elem.tag in attribute_mapping and parameters.get(elem.tag) is None: - parameters[attribute_mapping[elem.tag]] = elem.text - - return parameters - - # ! Getters - @deprecated_getter("organism_tax_id") - def getOrganismTaxId(self): - return self.organism_tax_id - - @deprecated_getter("ecnumber") - def getEcnumber(self): - return self.ecnumber - - @deprecated_getter("uniprotid") - def getUniprotID(self): - return self.uniprotid - - @deprecated_getter("organism") - def getOrganism(self): - return self.organism - - @deprecated_getter("init_conc") - def getInitConc(self): - return self.init_conc - - @deprecated_getter("name") - def getName(self): - return self.name - - @deprecated_getter("id") - def getId(self): - return self.id - - @deprecated_getter("meta_id") - def getMetaid(self): - return self.meta_id - - @deprecated_getter("sequence") - def getSequence(self): - return self.sequence - - @deprecated_getter("ontology") - def getSboterm(self): - return self.ontology - - @deprecated_getter("vessel_id") - def getVessel(self): - return self.vessel_id - - @deprecated_getter("unit") - def getSubstanceUnits(self): - return self.unit - - @deprecated_getter("boundary") - def getBoundary(self): - return self.boundary - - @deprecated_getter("constant") - def getConstant(self): - return self.constant diff --git a/pyenzyme/enzymeml/core/reactant.py b/pyenzyme/enzymeml/core/reactant.py deleted file mode 100644 index ac72f89c..00000000 --- a/pyenzyme/enzymeml/core/reactant.py +++ /dev/null @@ -1,211 +0,0 @@ -# File: reactant.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from pydantic import Field -from typing import Dict, TYPE_CHECKING, Optional, Union, Any -from dataclasses import dataclass - -from pyenzyme.enzymeml.core.enzymemlbase import EnzymeMLBase -from pyenzyme.enzymeml.core.abstract_classes import AbstractSpecies -from pyenzyme.enzymeml.core.ontology import SBOTerm -from pyenzyme.enzymeml.core.exceptions import ChEBIIdentifierError -from pyenzyme.enzymeml.core.utils import type_checking, deprecated_getter - -if TYPE_CHECKING: # pragma: no cover - static_check_init_args = dataclass -else: - static_check_init_args = type_checking - - -@static_check_init_args -class Reactant(EnzymeMLBase, AbstractSpecies): - - name: Optional[str] = Field( - None, description="Name of the reactant.", template_alias="Name" - ) - - vessel_id: str = Field( - ..., - description="Identifier of the vessel in which the reactant was stored.", - template_alias="Vessel", - ) - - init_conc: Optional[float] = Field( - None, - description="Initial concentration of the reactant.", - ) - - unit: Optional[str] = Field( - None, - description="Unit of the reactant intial concentration.", - ) - - constant: bool = Field( - False, - description="Whether the reactants concentration remains constant or not.", - template_alias="Constant", - ) - - id: Optional[str] = Field( - None, - description="Unique identifier of the protein.", - template_alias="ID", - regex=r"s[\d]+", - ) - - meta_id: Optional[str] = Field( - None, - description="Unique meta identifier of the protein.", - ) - - smiles: Optional[str] = Field( - None, - description="Simplified Molecular Input Line Entry System (SMILES) encoding of the reactant.", - template_alias="SMILES", - ) - - inchi: Optional[str] = Field( - None, - description="International Chemical Identifier (InChI) encoding of the reactant.", - template_alias="InCHI", - ) - - boundary: bool = Field( - False, - description="Whether the reactant is under any boundary conditions (SBML Technicality, better leave it to default)", - ) - - ontology: SBOTerm = Field( - SBOTerm.SMALL_MOLECULE, - description="Ontology describing the characteristic of the reactant.", - ) - - uri: Optional[str] = Field( - None, - description="URI of the protein.", - ) - - creator_id: Optional[str] = Field( - None, - description="Unique identifier of the author.", - ) - - chebi_id: Optional[str] = Field( - None, - description="Unique identifier of the CHEBI database. Use this identifier to initialize the object from the CHEBI database.", - ) - - # ! Initializers - @classmethod - def fromChebiID( - cls, - chebi_id: str, - vessel_id: str, - constant: bool = False, - init_conc: Optional[float] = None, - unit: Optional[str] = None, - ) -> "Reactant": - """Initializes a reactant based - - Raises: - ChEBIIdentifierError: [description] - - Returns: - [type]: [description] - """ - - # Get Chebi Parameters - parameters = cls._getChEBIParameters(chebi_id=chebi_id) - - return cls( - init_conc=init_conc, - unit=unit, - vessel_id=vessel_id, - constant=constant, - chebi_id=chebi_id, - **parameters, - ) - - @staticmethod - def _getChEBIParameters(chebi_id: Union[str, int]) -> Dict[str, Any]: - import requests - import xml.etree.ElementTree as ET - - # Send request to CHEBI database - endpoint = f"https://www.ebi.ac.uk/webservices/chebi/2.0/test/getCompleteEntity?chebiId={chebi_id}" - - # Fetch data - response = requests.get(endpoint) - tree = ET.ElementTree(ET.fromstring(response.text)) - - # Set prefix to match tag - prefix = r"{https://www.ebi.ac.uk/webservices/chebi}" - - # Check if the CHEBI ID is correct - if "faultcode" in response.text: - raise ChEBIIdentifierError(chebi_id=chebi_id) - - # Define mapping for the used attributes - attribute_mapping = { - prefix + "inchi": "inchi", - prefix + "smiles": "smiles", - prefix + "chebiAsciiName": "name", - } - - # Collect parameters - parameters = { - attribute_mapping[elem.tag]: elem.text - for elem in tree.iter() - if elem.tag in attribute_mapping - } - - return parameters - - # ! Getters - - @deprecated_getter("inchi") - def getInchi(self): - return self.inchi - - @deprecated_getter("smiles") - def getSmiles(self): - return self.smiles - - @deprecated_getter("init_conc") - def getInitConc(self): - return self.init_conc - - @deprecated_getter("name") - def getName(self): - return self.name - - @deprecated_getter("id") - def getId(self): - return self.id - - @deprecated_getter("meta_id") - def getMetaid(self): - return self.meta_id - - @deprecated_getter("ontology") - def getSboterm(self): - return self.ontology - - @deprecated_getter("vessel_id") - def getVessel(self): - return self.vessel_id - - @deprecated_getter("unit") - def getSubstanceUnits(self): - return self.unit - - @deprecated_getter("boundary") - def getBoundary(self): - return self.boundary - - @deprecated_getter("constant") - def getConstant(self): - return self.constant diff --git a/pyenzyme/enzymeml/core/replicate.py b/pyenzyme/enzymeml/core/replicate.py deleted file mode 100644 index e12d56cf..00000000 --- a/pyenzyme/enzymeml/core/replicate.py +++ /dev/null @@ -1,152 +0,0 @@ -# File: replicate.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from pydantic import Field, validator, PrivateAttr -from typing import List, TYPE_CHECKING, Optional -from dataclasses import dataclass - -from pyenzyme.enzymeml.core.enzymemlbase import EnzymeMLBase -from pyenzyme.enzymeml.core.ontology import DataTypes -from pyenzyme.enzymeml.core.exceptions import DataError -from pyenzyme.enzymeml.core.utils import type_checking, deprecated_getter - -if TYPE_CHECKING: # pragma: no cover - static_check_init_args = dataclass -else: - static_check_init_args = type_checking - - -@static_check_init_args -class Replicate(EnzymeMLBase): - - id: str = Field( - ..., - description="Unique identifier of the replicate", - ) - - species_id: str = Field( - ..., - description="Unique identifier of the species that has been measured.", - regex=r"[s|r|p][\d]+", - ) - - measurement_id: Optional[str] = Field( - None, - description="Unique identifier of the measurement that the replicate is part of.", - regex=r"m[\d]+", - ) - - data_type: DataTypes = Field( - DataTypes.CONCENTRATION, - description="Type of data that was measured (e.g. concentration)", - ) - - data_unit: str = Field( - ..., - description="SI unit of the data that was measured.", - ) - - time_unit: str = Field( - ..., - description="Time unit of the replicate.", - ) - - time: List[float] = Field( - None, - description="Time steps of the replicate.", - ) - - data: List[float] = Field( - None, - description="Data that was measured.", - ) - - is_calculated: bool = Field( - False, - description="Whether or not the data has been generated by simulation.", - ) - - uri: Optional[str] = Field( - None, - description="URI of the protein.", - ) - - creator_id: Optional[str] = Field( - None, - description="Unique identifier of the author.", - ) - - # * Private - _time_unit_id: Optional[str] = PrivateAttr(None) - _data_unit_id: Optional[str] = PrivateAttr(None) - _enzmldoc = PrivateAttr(default=None) - - @validator("data") - def check_data_completeness(cls, data: List[float], values: dict): - if values.get("time") is None and data is not None: - # Check if time is given - raise DataError( - "No time values provided for the data yet. \ - Please include time values too, using the 'time' attribute" - ) - elif values.get("time"): - # Check if the data complies with the time values - timesteps = len(values["time"]) - if timesteps != len(data): - raise DataError( - f"The number of steps provided for the data [{len(data)}] does not match the number of timesteps [{timesteps}] for replicate '{values['id']}'" - ) - - return data - - # ! Getters - def data_unitdef(self): - """Returns the appropriate unitdef if an enzmldoc is given""" - - if not self._enzmldoc: - return None - - return self._enzmldoc._unit_dict[self._data_unit_id] - - def time_unitdef(self): - """Returns the appropriate unitdef if an enzmldoc is given""" - - if not self._enzmldoc: - return None - - return self._enzmldoc._unit_dict[self._time_unit_id] - - @deprecated_getter("measurement_id") - def getMeasurement(self): - return self.measurement_id - - @deprecated_getter("is_calculated") - def getIsCalculated(self): - return self.is_calculated - - @deprecated_getter("replicate_id") - def getReplica(self): - return self.id - - @deprecated_getter("species_id") - def getReactant(self): - return self.species_id - - @deprecated_getter("data_type") - def getType(self): - return self.data_type - - @deprecated_getter("data_unit") - def getDataUnit(self): - return self.data_unit - - @deprecated_getter("time_unit") - def getTimeUnit(self): - return self.time_unit - - @deprecated_getter("time' and 'data") - def getData(self, sep=False): - return self.time, self.data diff --git a/pyenzyme/enzymeml/core/unitdef.py b/pyenzyme/enzymeml/core/unitdef.py deleted file mode 100644 index 71cb82c3..00000000 --- a/pyenzyme/enzymeml/core/unitdef.py +++ /dev/null @@ -1,295 +0,0 @@ -# File: unitdef.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from pydantic import Field, validator, validate_arguments -from typing import List, TYPE_CHECKING, Optional -from dataclasses import dataclass - -from pyenzyme.enzymeml.core.enzymemlbase import EnzymeMLBase -from pyenzyme.enzymeml.core.utils import type_checking, deprecated_getter - - -if TYPE_CHECKING: # pragma: no cover - static_check_init_args = dataclass -else: - static_check_init_args = type_checking - - -@static_check_init_args -class BaseUnit(EnzymeMLBase): - """Base unit description including kind, exponent, scale and multiplier""" - - kind: str = Field( - ..., - description="Unit kind used to write SBML.", - ) - - exponent: float = Field( - ..., - description="Unit exponent.", - ) - - scale: int = Field( - ..., - description="Unit scale.", - ) - - multiplier: float = Field( - ..., - description="Unit multiplier.", - ) - - def get_id(self) -> str: - """Internal usage to get IDs from objects without ID attribute""" - - if self.kind: - return self.kind - else: - raise AttributeError("No species ID given.") - - def get_name(self) -> str: - """Returns the appropriate name of the unit""" - - # Get mappings - prefix_mapping, kind_mapping = self._setup_mappings() - - # Retrieve values to generate the name - prefix = prefix_mapping[self.scale] - unit = kind_mapping[self.kind] - - # Special case for time - if unit == "s": - if self.multiplier == 60: - unit = "min" - if self.multiplier == 60 * 60: - unit = "hours" - - if abs(self.exponent) != 1: - exponent = f"^{abs(int(self.exponent))}" - else: - exponent = "" - - return f"{prefix}{unit}{exponent}" - - @staticmethod - def _setup_mappings(): - # TODO integrate this to unitcreator - # Create a mappings - prefix_mapping = { - -15: "f", - -12: "p", - -9: "n", - -6: "u", - -3: "m", - -2: "c", - -1: "d", - 1: "", - 3: "k", - } - - kind_mapping = { - "litre": "l", - "gram": "g", - "second": "s", - "kelvin": "K", - "dimensionless": "dimensionless", - "mole": "mole", - } - - return prefix_mapping, kind_mapping - - -@static_check_init_args -class UnitDef(EnzymeMLBase): - - name: Optional[str] = Field( - None, - description="Name of the SI unit.", - ) - - id: Optional[str] = Field( - None, - description="Interal Identifier of the SI unit.", - ) - - meta_id: Optional[str] = Field( - None, - description="Interal meta identifier of the SI unit.", - ) - - units: List[BaseUnit] = Field( - default_factory=list, - description="List of SI baseunits.", - ) - - ontology: Optional[str] = Field( - None, - description="Ontology of the SI unit.", - ) - - # ! Validators - @validator("id") - def set_meta_id(cls, id: Optional[str], values: dict): - """Sets the meta ID when an ID is provided""" - - if id: - # Set Meta ID with ID - values["meta_id"] = f"METAID_{id.upper()}" - - return id - - @validator("meta_id") - def check_meta_id(cls, meta_id: Optional[str], values: dict): - """Checks if the meta ID provided is following the standard""" - - if values.get("meta_id"): - # When the ID init already set the meta ID - return values.get("meta_id") - - return None - - def _get_unit_name(self): - """Generates the unit name based of the given baseunits""" - - nominator, denominator = [], [] - for unit in self.units: - if unit.exponent > 0: - nominator.append(unit.get_name()) - elif unit.exponent < 0: - denominator.append(unit.get_name()) - - # Catch empty nominators - if not nominator: - nominator = "1" - - # Combine each side and construct the SI string - nominator = " ".join(nominator) - denominator = " ".join(denominator) - - if denominator: - return " / ".join([nominator, denominator]) - else: - return nominator - - # ! Adders - @validate_arguments - def addBaseUnit( - self, kind: str, exponent: float, scale: int, multiplier: float - ) -> None: - """Adds a base unit to the units element and sort the units. - - Args: - kind (str): SBML unit kind string. - exponent (float): Exponent of the unit. - scale (float): Scale of the unit. - multiplier (float): Muliplier of the unit. - """ - - # Create baseunit - baseunit = BaseUnit( - kind=kind, exponent=exponent, scale=scale, multiplier=multiplier - ) - - # Merge both and sort them via kind - if baseunit not in self.units: - self.units.append(baseunit) - self.units = sorted(self.units, key=lambda unit: unit.kind) - - # ! Utilities - def calculateTransformValue(self, kind: str, scale: int): - """Calculates the value that is needed to re-scale the given unit to the desired scale. - - Args: - kind (str): The kind of unit that is used as a reference. - scale (int): The desired scale. - - Raises: - ValueError: Raised when the given unit kind is not part of the unitdef. - - Returns: - float: The value that is needed to re-scale the given unit to the desired scale. - """ - - for base_unit in self.units: - if base_unit.kind == kind: - - # correction factor used for the case of scale=1 - correction_factor = -1 if base_unit.scale == 1 else 0 - - return 10 ** ( - base_unit.exponent * (base_unit.scale - scale + correction_factor) - ) - - raise ValueError(f"Unit kind of {kind} is not part of the unit definition") - - def _getNewName(self) -> str: - """Internal function used to derive a units new name. Will be assigned using enzmldoc._convertTounitDef. - - Returns: - str: The new name of the unit definition. - """ - - # Mapping for abbreviations - kind_mapping = { - "mole": "mole", - "second": "s", - "liter": "l", - "litre": "l", - } - - prefix_mapping = { - -15: "f", - -12: "p", - -9: "n", - -6: "u", - -3: "m", - -2: "c", - -1: "d", - 1: "", - 3: "k", - } - - nominator = list(filter(lambda base_unit: base_unit.exponent > 0, self.units)) - - denominator = list(filter(lambda base_unit: base_unit.exponent < 0, self.units)) - - # Create new unit name - def constructName(base_unit: BaseUnit) -> str: - return f"{prefix_mapping[base_unit.scale]}{kind_mapping[base_unit.kind]}" - - nominator_string = " ".join( - [constructName(base_unit) for base_unit in nominator] - ) - denominator_string = " ".join( - [constructName(base_unit) for base_unit in denominator] - ) - - return " / ".join([nominator_string, denominator_string]) - - # ! Getters - @deprecated_getter("units") - def getUnits(self): - return self.units - - @deprecated_getter("name") - def getName(self): - return self.name - - @deprecated_getter("id") - def getId(self): - return self.id - - @deprecated_getter("meta_id") - def getMetaid(self): - return self.meta_id - - @deprecated_getter("ontology") - def getOntology(self): - return self.ontology - - def getFootprint(self): - sorted_units = [base_unit.dict() for base_unit in self.units] - return list(sorted(sorted_units, key=lambda unit: unit["kind"])) diff --git a/pyenzyme/enzymeml/core/utils.py b/pyenzyme/enzymeml/core/utils.py deleted file mode 100644 index 3fb2179f..00000000 --- a/pyenzyme/enzymeml/core/utils.py +++ /dev/null @@ -1,27 +0,0 @@ -# File: functionalities.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - - -from deprecation import deprecated - - -def type_checking(cls): - """Used to enable pyDantic type checking, since it is not supported yet by Pylance""" - return cls - - -def deprecated_getter(name: str): - """Decorator used to indicate that a deprecated method has been used""" - return deprecated( - details=f"Use the attribute `{name}` instead.", - ) - - -def deprecated_method(name: str): - """Decorator used to indicate that a deprecated method has been used""" - return deprecated( - details=f"Use the method `{name}` instead.", - ) diff --git a/pyenzyme/enzymeml/core/vessel.py b/pyenzyme/enzymeml/core/vessel.py deleted file mode 100644 index 56d3180e..00000000 --- a/pyenzyme/enzymeml/core/vessel.py +++ /dev/null @@ -1,110 +0,0 @@ -# File: vessel.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from pydantic import Field, PositiveFloat, validator, PrivateAttr, BaseModel -from typing import TYPE_CHECKING, Optional -from dataclasses import dataclass - -from pyenzyme.enzymeml.core.enzymemlbase import EnzymeMLBase -from pyenzyme.enzymeml.core.utils import type_checking, deprecated_getter - -if TYPE_CHECKING: # pragma: no cover - static_check_init_args = dataclass -else: - static_check_init_args = type_checking - - -@static_check_init_args -class Vessel(EnzymeMLBase): - - name: str = Field( - ..., description="Name of the used vessel.", template_alias="Name" - ) - - volume: Optional[PositiveFloat] = Field( - None, - description="Volumetric value of the vessel.", - template_alias="Volume value", - ) - - unit: Optional[str] = Field( - None, description="Volumetric unit of the vessel.", template_alias="Volume unit" - ) - - constant: bool = Field( - True, - description="Whether the volume of the vessel is constant or not.", - ) - - meta_id: Optional[str] = Field( - None, - description="Unique meta identifier of the vessel.", - ) - - id: Optional[str] = Field( - None, - description="Unique identifier of the vessel.", - template_alias="ID", - regex=r"v[\d]+", - ) - - uri: Optional[str] = Field( - None, - description="URI of the vessel.", - ) - - creator_id: Optional[str] = Field( - None, - description="Unique identifier of the author.", - ) - - # * Private - _unit_id: Optional[str] = PrivateAttr(None) - _enzmldoc = PrivateAttr(default=None) - - # ! Validators - @validator("id") - def set_meta_id(cls, id: Optional[str], values: dict): - """Sets the meta ID when an ID is provided""" - - if id: - # Set Meta ID with ID - values["meta_id"] = f"METAID_{id.upper()}" - - return id - - # ! Getters - def unitdef(self): - """Returns the appropriate unitdef if an enzmldoc is given""" - - if not self._enzmldoc: - return None - - return self._enzmldoc._unit_dict[self._unit_id] - - @deprecated_getter("name") - def getName(self): - return self.name - - @deprecated_getter("id") - def getId(self): - return self.id - - @deprecated_getter("meta_id") - def getMetaid(self): - return self.meta_id - - @deprecated_getter("constant") - def getConstant(self): - return self.constant - - @deprecated_getter("volume") - def getSize(self): - return self.volume - - @deprecated_getter("unit") - def getUnit(self): - return self.unit diff --git a/pyenzyme/enzymeml/databases/__init__.py b/pyenzyme/enzymeml/databases/__init__.py deleted file mode 100644 index 96fbe08e..00000000 --- a/pyenzyme/enzymeml/databases/__init__.py +++ /dev/null @@ -1,7 +0,0 @@ -# File: __init__.py -# Project: databases -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from .dataverse import uploadToDataverse diff --git a/pyenzyme/enzymeml/databases/dataverse.py b/pyenzyme/enzymeml/databases/dataverse.py deleted file mode 100644 index e18ea800..00000000 --- a/pyenzyme/enzymeml/databases/dataverse.py +++ /dev/null @@ -1,274 +0,0 @@ -# File: dataverse.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import json -import os -import pydantic - -from typing import Dict, Any, Optional - -from pyDaRUS import EnzymeMl, Citation, Dataset -from pyDaRUS.metadatablocks.enzymeML import Constant -from pyDaRUS.metadatablocks.citation import SubjectEnum - - -def uploadToDataverse( - enzmldoc, - dataverse_name: str, - base_url: Optional[str] = None, - api_token: Optional[str] = None, -) -> None: - """Uploads a givene EnzymeMLDocument object to a dataverse installation. - - It should be noted, that the environment variables 'DATAVERSE_URL' and 'DATAVERSE_API_TOKEN' - should be given approriately before the upload. If not, tje upload cant be done. - - Args: - enzmldoc (EnzymeMLDocument): The EnzymeMLDocument to be uploaded. - dataverse_name (str): Name of the dataverse to be uploaded to. - base_url (str): Base URL of the dataverse to upload. Defaults to None. If None the URL will be drawn from env vars. - api_token (str): API Token of the dataverse to upload. Defaults to None. If None the API Token will be drawn from env vars. - """ - - # Fill in all the metadatablocks - enzml_meta = create_enzymeml_metadatablock(enzmldoc) - citation_meta = create_citation_metadatablock(enzmldoc) - - # Initialize a dataset for the upload - dataset = Dataset() - - # Add all metadatablocks - dataset.add_metadatablock(enzml_meta) - dataset.add_metadatablock(citation_meta) - - # Write EnzymeMLDocument to file - archive_name = f"{enzmldoc.name.replace(' ', '_')}_dv_upload" - enzmldoc.toFile(".", name=archive_name) - - try: - dataset.add_file( - dv_path=f"{archive_name}.omex", local_path=f"{archive_name}.omex" - ) - dataset.upload( - dataverse_name=dataverse_name, - DATAVERSE_URL=base_url, - API_TOKEN=api_token, - ) - except Exception as e: - os.remove(f"{archive_name}.omex") - raise e - - # Remove the unsued EnzymeML document - os.remove(f"{archive_name}.omex") - - -def create_enzymeml_metadatablock( - enzmldoc, -): - - # Initialize the EnzymeML metadatablock - enzml_meta = EnzymeMl() - - # Vessels - vessel_mapping = { - "name": "name", - "volume": "size", - "unit": "unit", - "constant": "constant", - } - - for vessel in enzmldoc.vessel_dict.values(): - json_data = json.loads(vessel.json()) - - # Apply corrections to match controlled vocabs - json_data["constant"] = ( - Constant.constant.value - if json_data["constant"] - else Constant.not_constant.value - ) - - add_object(json_data, vessel_mapping, enzml_meta.add_vessels) - - protein_mapping = { - # "id": "identifier", - "name": "name", - "vessel_id": "vessel_reference", - "init_conc": "initial_concentration", - "unit": "unit", - "constant": "constant", - "sequence": "sequence", - "organism": "organism", - "uniprotid": "uniprotid", - "ecnumber": "ecnumber", - "ontology": "sbo_term", - } - - for protein in enzmldoc.protein_dict.values(): - json_data = json.loads(protein.json()) - - # Apply corrections to match controlled vocabs - json_data["constant"] = ( - Constant.constant.value - if json_data["constant"] - else Constant.not_constant.value - ) - - add_object(json_data, protein_mapping, enzml_meta.add_proteins) - - reactant_mapping = { - # "id": "identifier", - "name": "name", - "vessel_id": "vessel_reference", - "init_conc": "initial_concentration", - "unit": "unit", - "constant": "constant", - "inchi": "inchicode", - "smiles": "smilescode", - "ontology": "sbo_term", - } - - for reactant in enzmldoc.reactant_dict.values(): - json_data = json.loads(reactant.json()) - - # Apply corrections to match controlled vocabs - json_data["constant"] = ( - Constant.constant.value - if json_data["constant"] - else Constant.not_constant.value - ) - - add_object(json_data, reactant_mapping, enzml_meta.add_reactants) - - reaction_mapping = { - "name": "name", - "temperature": "temperature_value", - "temperature_unit": "temperature_unit", - "ph": "ph_value", - } - - for reaction in enzmldoc.reaction_dict.values(): - - params: Dict[str, Any] = { - reaction_mapping.get(key): item - for key, item in reaction.dict().items() - if reaction_mapping.get(key) and repr(item) != "nan" and item - } - - # Apply corrections - if params.get("temperature_unit"): - params["temperature_unit"] = ( - "Kelvin" if params["temperature_unit"] == "K" else "Celsius" - ) - - # Extract al elements present in the reaction - educts = [ - enzmldoc.getAny(element.species_id).name for element in reaction.educts - ] - - products = [ - enzmldoc.getAny(element.species_id).name for element in reaction.products - ] - - modifiers = [ - enzmldoc.getAny(element.species_id).name for element in reaction.products - ] - - # Create corresponding string representations - params["educts"] = ", ".join(educts) - params["products"] = ", ".join(products) - params["modifiers"] = ", ".join(modifiers) - params["equation"] = " + ".join(educts) + " -> " + " + ".join(products) - - enzml_meta.add_reactions(**params) - - if reaction.model: - # Report on the model if given - law_params = kinetic_law_params(reaction) - enzml_meta.add_kinetic_law(**law_params) - - for param in reaction.model.parameters: - json_data = json.loads(param.json()) - - enzml_meta.add_kinetic_parameters( - name=f"{json_data['name']}_{reaction.id}", - value=json_data["value"], - unit=json_data["unit"], - sbo_term=json_data.get("ontology"), - ) - - return enzml_meta - - -def add_object(json_data, mapping, add_fun): - - params = { - mapping.get(key): item - for key, item in json_data.items() - if mapping.get(key) and repr(item) != "nan" and item - } - - # TODO fix metadatablock to accept other units than MOLAR - if params.get("unit"): - params["unit"] = params["unit"].replace("mole / l", "M") - - try: - # Add infos to metadatablock - add_fun(**params) - except pydantic.ValidationError as e: - - # TODO find a better way to handle this error - for error in e.errors(): - if error["loc"][0] == "unit": - params.pop("unit") - add_fun(**params) - - return None - - raise e - - -def kinetic_law_params(reaction: "EnzymeReaction") -> Dict[str, str]: # noqa: F821 - """Retrieves the arguments to add a kinetic law to an EnzymeML Metadatablock""" - - kinetic_law_mapping = {"name": "name", "equation": "kinetic_model"} - - # Get the model - model = reaction.model - - params = { - kinetic_law_mapping.get(key): item - for key, item in model.dict().items() - if kinetic_law_mapping.get(key) and repr(item) != "nan" and item - } - - params["reaction_reference"] = reaction.id - - return params - - -def create_citation_metadatablock(enzmldoc: "EnzymeMLDocument"): # noqa: F821 - - # Initialize the Citation metadatablock - citation_meta = Citation( - title=enzmldoc.name, - subject=[ - SubjectEnum.chemistry, - SubjectEnum.medicine___health_and__life__sciences, - ], - ) - - # Add author information - for creator in enzmldoc.creator_dict.values(): - name = f"{creator.given_name} {creator.family_name}" - citation_meta.add_author(name=name) - citation_meta.add_contact(name=name, email=creator.mail) - - # Add descripiton - citation_meta.add_description( - text=f"EnzymeML document reporting on {enzmldoc.name}" - ) - - return citation_meta diff --git a/pyenzyme/enzymeml/models/__init__.py b/pyenzyme/enzymeml/models/__init__.py deleted file mode 100644 index 72d8b746..00000000 --- a/pyenzyme/enzymeml/models/__init__.py +++ /dev/null @@ -1,12 +0,0 @@ -# File: __init__.py -# Project: models -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from pyenzyme.enzymeml.models.kineticmodel import KineticModel -from pyenzyme.enzymeml.models.michaelismenten import ( - MichaelisMentenVMax, - MichaelisMentenKCat, -) -from pyenzyme.enzymeml.models.kineticmodel import KineticParameter diff --git a/pyenzyme/enzymeml/models/kineticmodel.py b/pyenzyme/enzymeml/models/kineticmodel.py deleted file mode 100644 index 4a0a7358..00000000 --- a/pyenzyme/enzymeml/models/kineticmodel.py +++ /dev/null @@ -1,426 +0,0 @@ -# File: kineticmodel.py -# Project: models -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import ast -import re -import numexpr - -from typing import Any, List, TYPE_CHECKING, Optional -from pydantic import Field -from dataclasses import dataclass - -from pydantic.fields import PrivateAttr - -from pyenzyme.enzymeml.core.enzymemlbase import EnzymeMLBase -from pyenzyme.enzymeml.core.ontology import SBOTerm -from pyenzyme.enzymeml.core.utils import type_checking, deprecated_getter - -if TYPE_CHECKING: # pragma: no cover - static_check_init_args = dataclass -else: - static_check_init_args = type_checking - - -@static_check_init_args -class KineticParameter(EnzymeMLBase): - - name: str = Field( - ..., - description="Name of the estimated parameter.", - ) - - value: Optional[float] = Field( - None, - description="Numerical value of the estimated parameter.", - ) - - unit: Optional[str] = Field( - None, - description="Unit of the estimated parameter.", - ) - - initial_value: Optional[float] = Field( - None, description="Initial value that was used for the parameter estimation." - ) - - upper: Optional[float] = Field( - None, description="Upper bound of the estimated parameter." - ) - - lower: Optional[float] = Field( - None, description="Lower bound of the estimated parameter." - ) - - is_global: bool = Field( - False, description="Specifies if this parameter is a global parameter." - ) - - stdev: Optional[float] = Field( - None, description="Standard deviation of the estimated parameter." - ) - - constant: bool = Field(False, description="Specifies if this parameter is constant") - - ontology: Optional[SBOTerm] = Field( - None, - description="Type of the estimated parameter.", - ) - - # * Private attributes - _unit_id: Optional[str] = PrivateAttr(None) - _enzmldoc = PrivateAttr(default=None) - - def get_id(self): - """For logging. Dont bother.""" - return self.name - - # ! Utilities - def update(self, **kwargs): - """Adds attributes to this parameter based in kwargs""" - self.__dict__.update(kwargs) - - # ! Getters - def unitdef(self): - """Returns the appropriate unitdef if an enzmldoc is given""" - - if not self._enzmldoc: - return None - - return self._enzmldoc._unit_dict[self._unit_id] - - -@static_check_init_args -class KineticModel(EnzymeMLBase): - - name: str = Field( - ..., - description="Name of the kinetic law.", - ) - - equation: str = Field( - ..., - description="Equation for the kinetic law.", - ) - - parameters: List[KineticParameter] = Field( - default_factory=list, - description="List of estimated parameters.", - ) - - ontology: Optional[SBOTerm] = Field( - None, - description="Type of the estimated parameter.", - ) - - # ! Add methods - def addParameter( - self, - name: str, - value: Optional[float] = None, - unit: Optional[str] = None, - initial_value: Optional[float] = None, - upper: Optional[float] = None, - lower: Optional[float] = None, - is_global: bool = False, - stdev: Optional[float] = None, - constant: bool = False, - ontology: Optional[SBOTerm] = None, - ): - """Adds a parameter to the KineticModel object - - Args: - name (str): Name of the estimated parameter. - value (Optional[float], optional): Numerical value of the estimated parameter.. Defaults to None. - unit (Optional[str], optional): Unit of the estimated parameter.. Defaults to None. - initial_value (Optional[float], optional): Initial value that was used for the parameter estimation. Defaults to None. - upper (Optional[float], optional): Upper bound of the estimated parameter.. Defaults to None. - lower (Optional[float], optional): Lower bound of the estimated parameter.. Defaults to None. - is_global (bool, optional): Specifies if this parameter is a global parameter.. Defaults to False. - stdev (Optional[float], optional): Standard deviation of the estimated parameter.. Defaults to None. - constant (bool, optional): Specifies if this parameter is constant. Defaults to False. - ontology (Optional[SBOTerm], optional): Type of the estimated parameter.. Defaults to None. - """ - - self.parameters.append( - KineticParameter( - name=name, - value=value, - unit=unit, - initial_value=initial_value, - upper=upper, - lower=lower, - is_global=is_global, - stdev=stdev, - constant=constant, - ontology=ontology, - ) - ) - - self.__dict__["_" + self.parameters[-1].name] = self.parameters[-1] - - # ! Initializers - @staticmethod - def createGenerator(name: str, equation: str, **parameters): - """Creates an abstract model generator to generated specific models. - - Args: - name (str): Name of the model. - equation (str): Equation - - Returns: - [type]: [description] - """ - - return ModelFactory(name=name, equation=equation, **parameters) - - @classmethod - def fromEquation(cls, name: str, equation: str, enzmldoc: Optional[Any] = None): - """Creates a Kinetic Model instance from an equation - - Args: - equation (str): Mathematical equation decribing the model. - - Returns: - KineticModel: Resulting kinetic model - """ - - if enzmldoc: - # Convert an equation with names to one with IDs - - class_name = enzmldoc.__class__.__name__ - if class_name != "EnzymeMLDocument": - # Guard clause - raise TypeError( - f"Expected type 'EnzymeMLDocument' for argument 'enzmldoc'. Got '{class_name}' instead." - ) - - # Now perform the actual conversion - equation = cls._convert_names_to_ids(enzmldoc, equation) - - # Create a new instance - cls = cls(name=name, equation=equation) - - # Parse equation and add parameters - used_species = [] - for node in ast.walk(ast.parse(equation)): - if isinstance(node, ast.Name): - name = node.id - regex = re.compile(r"[s|p|c]\d*") - if not bool(regex.match(name)) and "_" + name not in cls.__dict__: - cls.addParameter(name=name) - else: - used_species.append(name) - - if not used_species: - raise TypeError( - "It seems like you have included no species (Protein, Reactant, Complex) in your equation. " - "Are you using names? Please set your 'EnzymeMLDocument' to the argument 'enzmldoc' in order to proceed" - ) - - return cls - - @staticmethod - def _convert_names_to_ids(enzmldoc, equation: str): - """Converts names in an equation to appropriate IDs given in an EnzymeMLDocument""" - - all_species = { - **enzmldoc.protein_dict, - **enzmldoc.reactant_dict, - **enzmldoc.complex_dict, - } - - for id, species in all_species.items(): - equation = equation.replace(species.name, id) - - return equation - - # ! Utilities - - def get_id(self) -> str: - return self.name - - def evaluate(self, **kwargs): - """Calculates the the reaction velocity given the internal parameters and variable concentrations handed as keyword arguments. - - Examples: - - model = KineticModel(...) <- Lets assume this is a Menten Model with already estimated parameters - print(model.evaluate(protein=10.0, substrate=1.0)) - - >> 1.002 <- This is the resulting velocity - - Returns: - float: Corresponding reaction velocity given the internal parameters and variables. - """ - - # Initialize a dictionary which will take care to create an eval string - params = {} - - # Get the values for the parameters - for parameter in self.parameters: - if parameter.value: - params.update({parameter.name: parameter.value}) - - # Now replace the strings in the equation to evaluate it using numexpr - eval_string = self.equation - for key, value in {**kwargs, **params}.items(): - - eval_string = eval_string.replace(key, str(value)) - - return numexpr.evaluate(eval_string).tolist() - - # ! Getters - - def getParameter(self, name: str) -> KineticParameter: - """Returns a parameter of choice from the model. - - Args: - name (str): Name of the parameter. - - Raises: - KeyError: If the parameter does not exist. - - Returns: - KineticParameter: The desired parameter. - """ - - try: - return next(filter(lambda parm: parm.name == name, self.parameters)) - except StopIteration: - raise KeyError(f"Parameter {name} not found in the model.") - - @deprecated_getter("equation") - def getEquation(self): - return self.equation - - @deprecated_getter("parameters") - def getParameters(self): - return self.parameters - - @deprecated_getter("name") - def getName(self): - return self.name - - -class ModelFactory: - - equation: str - parameters: List[str] - name: str - - def __init__( - self, name: str, equation: str, ontology: Optional[SBOTerm] = None, **parameters - ) -> None: - - # Parse the eqation and get all names and variables - self.variables = self.parse_equation(equation) - - # Initialize the model - self.model = KineticModel(name=name, equation=equation, ontology=None) - - for name, options in parameters.items(): - - # Remove parameter from variables - self.variables.remove(name) - - # Get all teh options for the parameter - init_value = options.get("init_value") - value = options.get("value") - unit = options.get("unit") - ontology = options.get("ontology") - stdev = options.get("stdev") - upper = options.get("upper") - lower = options.get("lower") - constant = options.get("constant") - - # Convert constant to bool if not set - if not constant: - constant = False - - parameter = KineticParameter( - name=name, - value=value, - unit=unit, - initial_value=init_value, - stdev=stdev, - ontology=ontology, - upper=upper, - lower=lower, - is_global=False, - constant=constant, - ) - - self.model.parameters.append(parameter) - - def __call__(self, mapping: dict = {}, **variables) -> KineticModel: - """Returns a KineticModel that is suited for the given parameters.""" - - # Copy the internal object and modify it to the needs - model = KineticModel(**self.model.dict()) - - # Replace everything - for stock_variable in self.variables: - - try: - identifier = variables[stock_variable] - - if isinstance(identifier, list): - # Allow multiple species - identifier = [repr(name) for name in identifier] - identifier = f"({' * '.join(identifier)})" - else: - identifier = repr(identifier) - - model.equation = model.equation.replace(stock_variable, identifier) - - except KeyError: - raise KeyError( - f"Variable {stock_variable} has not been given. Please make sure to cover all variables: [{repr(self.variables)}]" - ) - - # Apply mapping - if mapping: - self._apply_mapping(mapping, model) - - return model - - def _apply_mapping(self, mapping: dict, model: KineticModel): - """Applies a mapping that has been given to the model.""" - - for param_old, param_new in mapping.items(): - model.equation = model.equation.replace(param_old, param_new) - - # Variable to control when a parameter has found - found = False - - for index, parameter in enumerate(model.parameters): - if parameter.name == param_old: - - # Copy old and add new parameter - nu_param = parameter.copy() - nu_param.name = param_new - model.parameters.append(nu_param) - - found = True - - # Remove old one - del model.parameters[index] - continue - - if not found: - raise KeyError(f"Parameter {param_old} is not part of the model.") - - @staticmethod - def parse_equation(equation: str): - return list( - set( - [ - node.id - for node in ast.walk(ast.parse(equation)) - if isinstance(node, ast.Name) - ] - ) - ) diff --git a/pyenzyme/enzymeml/models/michaelismenten.py b/pyenzyme/enzymeml/models/michaelismenten.py deleted file mode 100644 index 8ff38584..00000000 --- a/pyenzyme/enzymeml/models/michaelismenten.py +++ /dev/null @@ -1,107 +0,0 @@ -# File: michaelismenten.py -# Project: models -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2021 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from typing import Any, Dict -from pyenzyme.enzymeml.core.ontology import SBOTerm -from pyenzyme.enzymeml.models.kineticmodel import ModelFactory -from pyenzyme.enzymeml.core.exceptions import SpeciesNotFoundError - - -def MichaelisMentenKCat( - substrate: str, - protein: str, - enzmldoc, - k_cat: Dict[str, Any] = {"ontology": SBOTerm.K_CAT}, - k_m: Dict[str, Any] = {"ontology": SBOTerm.K_M}, -): - """Sets up a rate law following the Henri-Michaelis-Menten law. - - v = k_cat * protein * substrate / (k_m + substrate) - - Args: - substrate (str): Identifier or name of the substrate. - protein (str): Identifier or name of the protein. - enzmldoc ([type]): EnzymeML document to which the model will be adopted. - k_cat (Dict[str, Any], optional): Dictionary for parameter config. See KineticParameter class for details. Defaults to {"ontology": SBOTerm.K_CAT}. - k_m (Dict[str, Any], optional): Dictionary for parameter config. See KineticParameter class for details. Defaults to {"ontology": SBOTerm.K_CAT}. - - Returns: - KineticModel: Michaelis-Menten model in K_cat form with the specified parameters. - """ - # Check if the given IDs are part of the EnzymeML document already - if substrate not in enzmldoc.getSpeciesIDs(): - raise SpeciesNotFoundError( - species_id=substrate, enzymeml_part="Reactants/Proteins" - ) - - if protein not in enzmldoc.getSpeciesIDs(): - raise SpeciesNotFoundError( - species_id=protein, enzymeml_part="Reactants/Proteins" - ) - - # Check if ontologies are added, if not add them - if k_m.get("ontology") is None: - k_m["ontology"] = SBOTerm.K_M - - if k_cat.get("ontology") is None: - k_cat["ontology"] = SBOTerm.K_CAT - - # Create the model using a factory - model = ModelFactory( - name="Michaelis-Menten Rate Law", - equation="k_cat * protein * substrate / (k_m + substrate)", - k_cat=k_cat, - k_m=k_m, - ontology=SBOTerm.MICHAELIS_MENTEN, - ) - - return model(protein=protein, substrate=substrate) - - -def MichaelisMentenVMax( - substrate: str, - enzmldoc, - vmax: Dict[str, Any] = {"ontology": SBOTerm.V_MAX}, - k_m: Dict[str, Any] = {"ontology": SBOTerm.K_M}, -): - """Sets up a rate law following the Henri-Michaelis-Menten law. - - v = vmax * substrate / (k_m + substrate) - - Args: - substrate (str): Identifier or name of the substrate. - protein (str): Identifier or name of the protein. - enzmldoc ([type]): EnzymeML document to which the model will be adopted. - k_cat (Dict[str, Any], optional): Dictionary for parameter config. See KineticParameter class for details. Defaults to {"ontology": SBOTerm.K_CAT}. - k_m (Dict[str, Any], optional): Dictionary for parameter config. See KineticParameter class for details. Defaults to {"ontology": SBOTerm.K_CAT}. - - Returns: - KineticModel: Michaelis-Menten model in K_cat form with the specified parameters. - """ - - # Check if the given IDs are part of the EnzymeML document already - if substrate not in enzmldoc.getSpeciesIDs(): - raise SpeciesNotFoundError( - species_id=substrate, enzymeml_part="Reactants/Proteins" - ) - - # Check if ontologies are added, if not add them - if k_m.get("ontology") is None: - k_m["ontology"] = SBOTerm.K_M - - if vmax.get("ontology") is None: - vmax["ontology"] = SBOTerm.V_MAX - - # Create the model using a factory - model = ModelFactory( - name="Michaelis-Menten Rate Law", - equation="vmax * substrate / (k_m + substrate)", - vmax=vmax, - k_m=k_m, - ontology=SBOTerm.MICHAELIS_MENTEN, - ) - - return model(substrate=substrate) diff --git a/pyenzyme/enzymeml/tools/__init__.py b/pyenzyme/enzymeml/tools/__init__.py deleted file mode 100644 index cbd15f14..00000000 --- a/pyenzyme/enzymeml/tools/__init__.py +++ /dev/null @@ -1,17 +0,0 @@ -""" -File: __init__.py -Project: tools -Author: Jan Range -License: BSD-2 clause ------ -Last Modified: Tuesday June 22nd 2021 10:15:24 pm -Modified By: Jan Range () ------ -Copyright (c) 2021 Institute of Biochemistry and Technical Biochemistry Stuttgart -""" - -from pyenzyme.enzymeml.tools.enzymemlwriter import EnzymeMLWriter -from pyenzyme.enzymeml.tools.unitparser import UnitParser -from pyenzyme.enzymeml.tools.unitcreator import UnitCreator -from pyenzyme.enzymeml.tools.templatereader import read_template -from pyenzyme.enzymeml.tools.validator import EnzymeMLValidator diff --git a/pyenzyme/enzymeml/tools/enzymemlreader.py b/pyenzyme/enzymeml/tools/enzymemlreader.py deleted file mode 100644 index c02aed62..00000000 --- a/pyenzyme/enzymeml/tools/enzymemlreader.py +++ /dev/null @@ -1,939 +0,0 @@ -# File: enzymemlreader.py -# Project: tools -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import os -import re -from typing import Dict, List, Tuple, Union, Optional -import libsbml -import xml.etree.ElementTree as ET -import pandas as pd -import tempfile - -from pyenzyme.enzymeml.core.creator import Creator -from pyenzyme.enzymeml.core.enzymemldocument import EnzymeMLDocument -from pyenzyme.enzymeml.core.protein import Protein -from pyenzyme.enzymeml.core.complex import Complex -from pyenzyme.enzymeml.core.reactant import Reactant -from pyenzyme.enzymeml.core.replicate import Replicate -from pyenzyme.enzymeml.core.unitdef import UnitDef -from pyenzyme.enzymeml.core.vessel import Vessel -from pyenzyme.enzymeml.core.measurement import Measurement -from pyenzyme.enzymeml.core.enzymereaction import EnzymeReaction, ReactionElement -from pyenzyme.enzymeml.models.kineticmodel import KineticModel, KineticParameter -from pyenzyme.enzymeml.core.ontology import DataTypes, EnzymeMLPart, SBOTerm -from pyenzyme.enzymeml.core.abstract_classes import ( - AbstractSpeciesFactory, - AbstractSpecies, -) - -from libsbml import SBMLReader -from libcombine import CombineArchive -from io import StringIO - -# ! Factories - - -class ReactantFactory(AbstractSpeciesFactory): - """Returns an un-initialized reactant species object""" - - enzymeml_part: str = "reactant_dict" - - def get_species(self, **kwargs) -> AbstractSpecies: - reactant = Reactant(**kwargs) - reactant._unit_id = kwargs["_unit_id"] - return reactant - - -class ProteinFactory(AbstractSpeciesFactory): - """Returns an un-initialized protein species object""" - - enzymeml_part: str = "protein_dict" - - def get_species(self, **kwargs) -> AbstractSpecies: - protein = Protein(**kwargs) - protein._unit_id = kwargs["_unit_id"] - return protein - - -class ComplexFactory(AbstractSpeciesFactory): - """Returns an un-initialized complex species object""" - - enzymeml_part: str = "complex_dict" - - def get_species(self, **kwargs) -> AbstractSpecies: - complex = Complex(**kwargs) - complex._unit_id = kwargs["_unit_id"] - return complex - - -def species_factory_mapping(sbo_term: str) -> AbstractSpeciesFactory: - """Maps from SBOTerms to the appropriate species using a factory""" - - # Get the enum entity for the mapping - entity = EnzymeMLPart.entityFromSBOTerm(sbo_term) - - factory_mapping = { - "PROTEIN": ProteinFactory(), - "SMALL_MOLECULE": ReactantFactory(), - "ION": ReactantFactory(), - "RADICAL": ReactantFactory(), - "MACROMOLECULAR_COMPLEX": ComplexFactory(), - "PROTEIN_COMPLEX": ComplexFactory(), - "DIMER": ComplexFactory(), - } - - return factory_mapping[entity] - - -class EnzymeMLReader: - def readFromFile(self, path: str) -> EnzymeMLDocument: - """ - Reads EnzymeML document to an object layer EnzymeMLDocument class. - - Args: - path (str): Path to .omex container or - folder destination for plain .xml - """ - - if not path.endswith(".omex"): - raise TypeError( - f"File {os.path.basename(path)} is not a valid OMEX archive" - ) - - # Read omex archive - self.path = path - self.archive = CombineArchive() - self.archive.initializeFromArchive(self.path) - - content = self.archive.extractEntryToString("./experiment.xml") - desc = self.archive.getMetadataForLocation("./experiment.xml") - - # Get previous logs - log = self.archive.extractEntryToString("./history.log") - - # Read experiment file (sbml) - reader = SBMLReader() - document = reader.readSBMLFromString(content) - document.getErrorLog().printErrors() - model = document.getModel() - - # Initialize EnzymeMLDocument object - self.enzmldoc = EnzymeMLDocument( - name=model.getName(), level=model.getLevel(), version=model.getVersion() - ) - - # Add logs to the document - self.enzmldoc.log = log - - # Fetch references - self._getRefs(model, self.enzmldoc) - - # Fetch Creators - self._getCreators(omex_desc=desc, enzmldoc=self.enzmldoc) - - # try: - # # TODO extract VCard - # model_hist = model.getModelHistory() - # enzmldoc.setCreated( - # model_hist.getCreatedDate().getDateAsString() - # ) - - # enzmldoc.setModified( - # model_hist.getModifiedDate().getDateAsString() - # ) - - # Fetch units - unitDict = self._getUnits(model) - self.enzmldoc._unit_dict = unitDict - - # Fetch Vessel - vessel = self._getVessel(model, self.enzmldoc) - self.enzmldoc.vessel_dict = vessel - - # Fetch Species - protein_dict, reactant_dict, complex_dict = self._getSpecies( - model, self.enzmldoc - ) - - self.enzmldoc.reactant_dict = reactant_dict - self.enzmldoc.protein_dict = protein_dict - self.enzmldoc.complex_dict = complex_dict - - # fetch global parameters - self._getGlobalParameters(model, self.enzmldoc) - - # fetch reaction - reaction_dict = self._getReactions(model, self.enzmldoc) - self.enzmldoc.reaction_dict = reaction_dict - - # fetch Measurements - measurement_dict = self._getData(model, self.enzmldoc) - self.enzmldoc.measurement_dict = measurement_dict - - # fetch added files - self._getFiles(self.enzmldoc) - - del self.path - - return self.enzmldoc - - @staticmethod - def _sboterm_to_enum(sbo_term: int) -> Optional[SBOTerm]: - try: - sbo_string: str = libsbml.SBO.intToString(sbo_term) - - if len(sbo_string) == 0: - return None - - return SBOTerm(sbo_string) - - except ValueError: - return None - - def _getRefs(self, model, enzmldoc): - - if len(model.getAnnotationString()) == 0: - return - - root = ET.fromstring(model.getAnnotationString())[0] - - for element in root: - if "doi" in element.tag: - enzmldoc.doi = element.text - elif "pubmedID" in element.tag: - enzmldoc.pubmedid = element.text - elif "url" in element.tag: - enzmldoc.url = element.text - - def _getCreators(self, omex_desc, enzmldoc) -> None: - """Fetches all creators from an Combine archive's metadata. - - Args: - omex_desc (OMEX obj): Combine metadata description. - - Returns: - List[Creator]: Fetched list of creator objects. - """ - - # Get the number of creators to iterate - numCreators = omex_desc.getNumCreators() - - for i in range(numCreators): - # Fetch creator information - creator = omex_desc.getCreator(i) - - enzmldoc.addCreator( - Creator( - family_name=creator.getFamilyName(), - given_name=creator.getGivenName(), - mail=creator.getEmail(), - ), - log=False, - ) - - def _getUnits(self, model: libsbml.Model) -> Dict[str, UnitDef]: - """Fetches all the units present in the SBML model.^ - - Args: - model (libsbml.Model): The SBML model from which the units are fetched. - - Returns: - [type]: [description] - """ - - unitDict = {} - unitdef_list = model.getListOfUnitDefinitions() - - for unit in unitdef_list: - - # Get infos from the SBML model - name = unit.name - id = unit.id - meta_id = unit.meta_id - ontology = None # TODO get unit ontology - - # Create unit definition - unitdef = UnitDef(name=name, id=id, ontology=ontology, meta_id=meta_id) - - for baseunit in unit.getListOfUnits(): - # Construct unit definition with base units - unitdef.addBaseUnit( - kind=baseunit.toXMLNode().getAttrValue("kind"), - exponent=baseunit.getExponentAsDouble(), - scale=baseunit.getScale(), - multiplier=baseunit.getMultiplier(), - ) - - # Finally add the unit definition - unitDict[id] = unitdef - - return unitDict - - def _getVessel( - self, model: libsbml.Model, enzmldoc: "EnzymeMLDocument" - ) -> Dict[str, Vessel]: - """Fetches all the vessels/compartments present in the SBML model. - - Args: - model (libsbml.Model): The SBML model from which the vessels are fetched. - - Returns: - Dict[str, Vessel]: Corresponding vessel dictionary that has been converted. - """ - - vessel_dict = {} - compartments = model.getListOfCompartments() - - for compartment in compartments: - name = compartment.getName() - id = compartment.getId() - - # Set up dictionary for optional attributes - params = {} - - if compartment.isSetVolume(): - params["volume"] = compartment.getSize() - params["_unit_id"] = compartment.getUnits() - params["unit"] = enzmldoc.getUnitString(params["_unit_id"]) - - vessel = Vessel(name=name, id=id, **params) - - vessel._unit_id = params.get("_unit_id") - vessel._enzmldoc = self.enzmldoc - - vessel_dict[vessel.id] = vessel - - return vessel_dict - - def _getSpecies( - self, model: libsbml.Model, enzmldoc: "EnzymeMLDocument" - ) -> Tuple[Dict[str, Protein], Dict[str, Reactant], Dict[str, Complex]]: - - # initialize dictionaries and get species - protein_dict = {} - reactant_dict = {} - complex_dict = {} - species_list = model.getListOfSpecies() - - for species in species_list: - - # Check if init conc is given - init_conc = species.getInitialConcentration() - unit_id = species.getSubstanceUnits() - - if repr(init_conc) == "nan": - # Handle not existent init concs - init_conc = None - - if unit_id: - # Get unit string if given - unit = enzmldoc.getUnitString(unit_id) - else: - unit = None - - # Get SBOTerm, but if there is none, give default - ontology = self._sboterm_to_enum(species.getSBOTerm()) - - # Parse annotations and construct a kwargs dictionary - param_dict = self._parseSpeciesAnnotation(species.getAnnotationString()) - param_dict.update( - { - "id": species.getId(), - "meta_id": species.getMetaId(), - "vessel_id": species.getCompartment(), - "name": species.getName(), - "constant": species.getConstant(), - "ontology": ontology, - "init_conc": init_conc, - "_unit_id": unit_id, - "unit": unit, - # Some attributes need special care - "ecnumber": param_dict.get("e_cnumber"), - "uniprotid": param_dict.get("uniprot_id"), - "participants": param_dict.get("participant"), - } - ) - - # Get species factory from ontology - try: - # Current version uses SBOTerms to distinguish between entities - species_factory = species_factory_mapping(param_dict["ontology"]) - except ValueError: - # Backwards compatibility to old documents that do not incorporate SBOTerms - if param_dict["id"].startswith("s"): - species_factory = species_factory_mapping( - SBOTerm.SMALL_MOLECULE.value - ) - - # Remove ontology to get the default - param_dict.pop("ontology") - - elif param_dict["id"].startswith("p"): - species_factory = species_factory_mapping(SBOTerm.PROTEIN.value) - - # Remove ontology to get the default - param_dict.pop("ontology") - else: - raise ValueError( - f"ID {param_dict['id']} is not supported. Please use either of these 'p|s|c'" - ) - - # Use factory to get the species class - species = species_factory.get_species(**param_dict) - species._enzmldoc = self.enzmldoc - - if species_factory.enzymeml_part == "protein_dict": - protein_dict[species.id] = species - elif species_factory.enzymeml_part == "reactant_dict": - reactant_dict[species.id] = species - elif species_factory.enzymeml_part == "complex_dict": - complex_dict[species.id] = species - - return protein_dict, reactant_dict, complex_dict - - @staticmethod - def _parseSpeciesAnnotation(annotationString): - - if len(annotationString) == 0: - return dict() - - def camel_to_snake(name): - name = re.sub("(.)([A-Z][a-z]+)", r"\1_\2", name) - return re.sub("([a-z0-9])([A-Z])", r"\1_\2", name).lower() - - speciesAnnot = ET.fromstring(annotationString)[0] - - # Initialize annotation dictionary - param_dict = {} - - for enzymeMLAnnot in speciesAnnot: - key = enzymeMLAnnot.tag.split("}")[-1] - key = camel_to_snake(key) - attribute = enzymeMLAnnot.text - - if key in param_dict: - # Take care of list attributes - try: - param_dict[key].append(attribute) - except AttributeError: - param_dict[key] = [param_dict[key], attribute] - - continue - - param_dict[key] = attribute - - return param_dict - - def _getGlobalParameters(self, model: libsbml.Model, enzmldoc): - """Fetches global parameters from the SBML model""" - - parameters = model.getListOfParameters() - - for parameter in parameters: - parameter = self._parse_parameter(parameter, enzmldoc) - parameter.is_global = True - parameter._enzmldoc = self.enzmldoc - - enzmldoc.global_parameters[parameter.name] = parameter - - def _getReactions( - self, model: libsbml.Model, enzmldoc: "EnzymeMLDocument" - ) -> Dict[str, EnzymeReaction]: - - # Get SBML list of reactions - reactionsList = model.getListOfReactions() - - # Initialize reaction dictionary - reaction_dict = {} - - # parse annotations and filter replicates - for reaction in reactionsList: - - # Fetch conditions - if reaction.getAnnotationString(): - reactionAnnot = ET.fromstring(reaction.getAnnotationString())[0] - conditions = self._parseConditions(reactionAnnot, enzmldoc) - else: - conditions = {} - - # Fetch Elements in SpeciesReference - educts = self._getElements( - reaction.getListOfReactants(), ontology=SBOTerm.SUBSTRATE - ) - - products = self._getElements( - reaction.getListOfProducts(), ontology=SBOTerm.PRODUCT - ) - - modifiers = self._getElements( - reaction.getListOfModifiers(), modifiers=True, ontology=SBOTerm.CATALYST - ) - - # Get the ontology - ontology = self._sboterm_to_enum(reaction.getSBOTerm()) - - if ontology is None: - ontology = SBOTerm.BIOCHEMICAL_REACTION - - # Create object - enzyme_reaction = EnzymeReaction( - id=reaction.id, - meta_id="META_" + reaction.id.upper(), - name=reaction.name, - reversible=reaction.reversible, - educts=educts, - products=products, - modifiers=modifiers, - ontology=ontology, - **conditions, - ) - - # Check for kinetic model - if reaction.getKineticLaw(): - # Check if model exists - kinetic_law = reaction.getKineticLaw() - kinetic_model = self._getKineticModel(kinetic_law, enzmldoc) - enzyme_reaction.model = kinetic_model - - # Add global parameters - for name, global_parameter in enzmldoc.global_parameters.items(): - # Keep a reference to the global paremeter - if name in enzyme_reaction.model.equation: - enzyme_reaction.model.parameters.append(global_parameter) - - # Add reaction to reaction_dict - enzyme_reaction._enzmldoc = self.enzmldoc - reaction_dict[enzyme_reaction.id] = enzyme_reaction - - return reaction_dict - - @staticmethod - def _parseConditions( - reactionAnnot: ET.Element, enzmldoc: "EnzymeMLDocument" - ) -> Dict[str, Union[str, float]]: - """Exracts the conditions present in the SBML reaction annotations. - Args: - reactionAnnot (ET.Element): The reaction annotation element. - enzmldoc (EnzymeMLDocument): The EnzymeMLDocument against which the data will be validated. - Returns: - Dict[str, Union[str, float]]: Mapping for the conditions. - """ - - # Get the conditions element - conditions = reactionAnnot[0] - condition_dict = {} - - for condition in conditions: - # Sort all the conditions - if "temperature" in condition.tag: - - # Get temperature conditions - condition_dict["temperature"] = float(condition.attrib["value"]) - - # Parse unit ID to Unit string - condition_dict["_temperature_unit_id"] = condition.attrib["unit"] - condition_dict["temperature_unit"] = enzmldoc.getUnitString( - condition_dict["_temperature_unit_id"] - ) - - elif "ph" in condition.tag: - - # Get the pH value - condition_dict["ph"] = float(condition.attrib["value"]) - - return condition_dict - - def _getElements( - self, - species_refs: List[libsbml.SpeciesReference], - ontology: SBOTerm, - modifiers: bool = False, - ) -> List[ReactionElement]: - """Extracts the speciesReference objects from the associated list and converts them to ReactionElements - - Args: - species_refs (List[libsbml.SpeciesReference]): The species refrences for the reaction <-> Chemical reaction elements. - modifiers (bool, optional): Used to override missing stoichiometry and constant for modifiers. Defaults to False. - - Returns: - List[ReactionElement]: The list of reaction elements. - """ - - reaction_elements = [] - for species_ref in species_refs: - - species_id = species_ref.getSpecies() - stoichiometry = 1.0 if modifiers else species_ref.getStoichiometry() - constant = True if modifiers else species_ref.getConstant() - sbo_term = libsbml.SBO.intToString(species_ref.getSBOTerm()) - - if sbo_term: - ontology = SBOTerm(sbo_term) - - reaction_elements.append( - ReactionElement( - species_id=species_id, - stoichiometry=stoichiometry, - constant=constant, - ontology=ontology, - ) - ) - - return reaction_elements - - def _getKineticModel( - self, kineticLaw: libsbml.KineticLaw, enzmldoc: "EnzymeMLDocument" - ) -> KineticModel: - """Extracts a kinetic rate law from the SBML data model. - - Args: - kineticLaw (libsbml.KineticLaw): The kinetic law to be extracted. - enzmldoc (EnzymeMLDocument): The EnzymeMLDocument to which the kinetic law will be added. - - Returns: - KineticModel: Teh resulting kinetic model. - """ - - # Extract metadata - name = kineticLaw.getName() - equation = kineticLaw.getFormula() - ontology = self._sboterm_to_enum(kineticLaw.getSBOTerm()) - - # Get local parameters - parameters = [] - for local_param in kineticLaw.getListOfLocalParameters(): - - parameter = self._parse_parameter(local_param, enzmldoc) - - if parameter.name in enzmldoc.global_parameters: - parameters.append(enzmldoc.global_parameters[parameter.name]) - else: - parameters.append(parameter) - - return KineticModel( - name=name, equation=equation, parameters=parameters, ontology=ontology - ) - - def _parse_parameter(self, parameter, enzmldoc): - """Parses a paramater and converts it to a KineticParameter instance""" - - # TODO refactor here - - value = parameter.getValue() - unit_id = parameter.getUnits() - - annotation = parameter.getAnnotationString() - param_dict = self._parseSpeciesAnnotation(annotation) - - if unit_id: - param_dict["unit"] = enzmldoc.getUnitString(unit_id) - - if parameter.__class__.__name__ == "LocalParameter": - constant = False - else: - constant = parameter.getConstant() - - if repr(parameter.getValue()) == "nan": - value = None - - nu_param = KineticParameter( - name=parameter.getId(), - value=value, - unit=param_dict.get("unit"), - ontology=self._sboterm_to_enum(parameter.getSBOTerm()), - initial_value=param_dict.get("initial_value"), - upper=param_dict.get("upper_bound"), - lower=param_dict.get("lower_bound"), - stdev=param_dict.get("stdev"), - constant=constant, - ) - - nu_param._enzmldoc = self.enzmldoc - - if unit_id: - nu_param._unit_id = parameter.getUnits() - - return nu_param - - def _getData( - self, model: libsbml.Model, enzmldoc: "EnzymeMLDocument" - ) -> Dict[str, Measurement]: - """Retrieves all available measurements found in the EnzymeML document. - - Args: - model (libsbml.Model): The SBML model from which the measurements are feteched, - - Returns: - Dict[str, Measurement]: Mapping from measurement ID to the associated object. - """ - - # Parse EnzymeML:format annotation - reactions = model.getListOfReactions() - annotation_string = reactions.getAnnotationString() - - # Guard clause for when there is no data - if annotation_string == "": - return {} - - # Parse annotation to an ElementTree - data_annotation = ET.fromstring(annotation_string)[0] - - # Fetch measurements - measurement_dict, measurement_files = self._parseListOfMeasurements( - data_annotation, enzmldoc=enzmldoc - ) - - # Iterate over measurements and assign replicates - for measurement_id, measurement_file in measurement_files.items(): - - # Fetch list of files - files = self._parseListOfFiles(data_annotation) - - # Fetch formats - formats = self._parseListOfFormats(data_annotation) - - # Get file content - fileInfo = files[measurement_file] - file_content = self.archive.extractEntryToString(fileInfo["file"]) - csvFile = pd.read_csv(StringIO(file_content), header=None) - - # Get format data and extract time column - measurement_format = formats[fileInfo["format"]] - time, time_unit_id = [ - (csvFile.iloc[:, int(column["index"])].tolist(), column["unit"]) - for column in measurement_format - if column["type"] == "time" - ][0] - - measurement_dict[measurement_id]._global_time_unit_id = time_unit_id - - # Create replicate objects - for format in measurement_format: - - if format["type"] != "time": - - # Get time course data - data = csvFile.iloc[:, int(format["index"])].tolist() - reactant_id = format["species"] - replicate_id = format["replica"] - data_type = DataTypes(format["type"]) - data_unit_id = format["unit"] - is_calculated = format["isCalculated"] - - replicate = Replicate( - id=replicate_id, - species_id=reactant_id, - data_type=data_type, - measurement_id=measurement_id, - data_unit=enzmldoc._unit_dict[data_unit_id].name, - time_unit=enzmldoc._unit_dict[time_unit_id].name, - data=data, - time=time, - is_calculated=is_calculated, - ) - - replicate._data_unit_id = data_unit_id - replicate._time_unit_id = time_unit_id - replicate._enzmldoc = self.enzmldoc - - measurement_dict[measurement_id].addReplicates( - replicate, log=False, enzmldoc=enzmldoc - ) - - return measurement_dict - - def _parseListOfFiles( - self, data_annotation: ET.Element - ) -> Dict[str, Dict[str, str]]: - """Extracts the list of files that are present in the annotation enzymeml:files. - - Args: - data_annotation (ET.Element): ElementTree object containing the enzymeml:files annotation. - - Returns: - Dict[str, Dict[str, str]]: Dictionary of all files present in the annotation. - """ - - return { - file.attrib["id"]: { - "file": file.attrib["file"], - "format": file.attrib["format"], - "id": file.attrib["id"], - } - for file in self._get_element(data_annotation, "files") - } - - def _parseListOfFormats(self, data_annotation: ET.Element) -> Dict[str, List[dict]]: - """Extracts the list of formats that areb present in the annotation enzymeml:formats. - - Args: - data_annotation (ET.Element): ElementTree object containing the enzymeml:files annotation. - - Returns: - Dict[str, List[dict]]: Dictionary of all the formats present in the annotation. - """ - - return { - format.attrib["id"]: [column.attrib for column in format] - for format in self._get_element(data_annotation, "formats") - } - - def _parseListOfMeasurements( - self, data_annotation: ET.Element, enzmldoc: "EnzymeMLDocument" - ) -> Tuple[Dict[str, Measurement], dict]: - """Extracts teh list of measurements that are present in the annotation enzymeml:measurements. - - Args: - data_annotation (ET.Element): ElementTree object containing the enzymeml:measurements annotation. - - Returns: - tuple[Dict[str, dict], Dict[str, Measurement]]: Two dictionaries returning the measurement objects and files. - """ - - measurements = self._get_element(data_annotation, "listOfMeasurements") - - if measurements is None: - # There was a typo and it should be catched here - measurements = self._get_element(data_annotation, "listOfMasurements") - - measurement_files = { - measurement.attrib["id"]: measurement.attrib["file"] - for measurement in measurements - if measurement.attrib.get("file") - } - measurement_dict = { - measurement.attrib["id"]: self._parseMeasurement( - measurement, enzmldoc=enzmldoc - ) - for measurement in measurements - } - - return (measurement_dict, measurement_files) - - def _parseMeasurement( - self, measurement: ET.Element, enzmldoc: "EnzymeMLDocument" - ) -> Measurement: - """Extracts individual initial concentrations of a measurement. - - Args: - measurement (ET.Element): Measurement XML information - - Returns: - Measurement: Initialized measurement object. - """ - - # Get conditions (temp, ph) - temperature = measurement.attrib.get("temperature_value") - temperature_unit = measurement.attrib.get("temperature_unit") - ph = measurement.attrib.get("ph") - - # Get the unit string of temp if given - if temperature_unit: - temperature_unit = enzmldoc.getUnitString(temperature_unit) - - # initialize Measurement object - measurement_object = Measurement( - name=measurement.attrib["name"], - temperature=temperature, - temperature_unit=temperature_unit, - ph=ph, - ) - - measurement_object.id = measurement.attrib["id"] - temperature_unit_id = measurement.attrib.get("temperature_unit") - measurement_object._temperature_unit_id = temperature_unit_id - measurement_object._enzmldoc = self.enzmldoc - - for init_conc_element in measurement: - - params, unit_id = self._parse_init_conc_element(init_conc_element, enzmldoc) - measurement_object.addData(**params, log=False) - - if params["reactant_id"]: - meas_data = measurement_object.getReactant(params["reactant_id"]) - elif params["protein_id"]: - meas_data = measurement_object.getProtein(params["protein_id"]) - else: - raise ValueError("Neither 'reactant_id' nor 'protein_id' are defined") - - meas_data._unit_id = unit_id - meas_data._enzmldoc = self.enzmldoc - - return measurement_object - - @staticmethod - def _parse_init_conc_element(element: ET.Element, enzmldoc): - """Parses initial concentration data of a measurement. - - Args: - element (ET.Element): Element containing information about the initial concentration and species. - - Raises: - KeyError: If there is neither a protein nor reactant ID. - """ - - value = float(element.attrib["value"]) - - # Convert the unit ID to the corresponding SI string - unit_id = element.attrib["unit"] - unit = enzmldoc._unit_dict[unit_id].name - - reactant_id = None - protein_id = None - - if "reactant" in element.attrib.keys(): - reactant_id = element.attrib["reactant"] - elif "protein" in element.attrib.keys(): - protein_id = element.attrib["protein"] - else: - raise KeyError("Neither reactant or protein ID defined.") - - return { - "init_conc": float(value), - "unit": unit, - "reactant_id": reactant_id, - "protein_id": protein_id, - }, unit_id - - @staticmethod - def _get_element(tree: ET.Element, name: str): - for element in tree.iter("*"): - if name.lower() in element.tag.lower(): - return element - - return None - - def _getFiles(self, enzmldoc): - """Extracts all added files fro the archive. - - Args: - archive (CombineArchive): The OMEX archive to extract files from. - enzmldoc (EnzymeMLDocument): The EnzymeMLDocument to add files to. - """ - - # Iterate over enries and extract files - for file_location in self.archive.getAllLocations(): - file_location = str(file_location) - - if "./files/" in file_location: - - # Convert raw file to file_handle - file_handle = tempfile.NamedTemporaryFile() - file_handle.name = os.path.basename(file_location) - - # Write file to temporary file - path = f"./{file_handle.name}" - self.archive.extractEntry(file_location, path) - - with open(path, "rb") as f: - file_handle.write(f.read()) - file_handle.seek(0) - - # Add the file to the EnzymeMLDocument - enzmldoc.addFile(file_handle=file_handle) - - # Remove the temporary file - os.remove(path) diff --git a/pyenzyme/enzymeml/tools/enzymemlwriter.py b/pyenzyme/enzymeml/tools/enzymemlwriter.py deleted file mode 100644 index 27d5569d..00000000 --- a/pyenzyme/enzymeml/tools/enzymemlwriter.py +++ /dev/null @@ -1,1031 +0,0 @@ -# File: enzymemlwriter.py -# Project: tools -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import pandas as pd -import os -import shutil -import libsbml -import tempfile -import logging -import warnings - -from libsbml import ( - SBMLDocument, - XMLNode, - XMLTriple, - XMLAttributes, - XMLNamespaces, - SBMLWriter, -) - -from typing import Dict, List, Callable, Optional -from libcombine import CombineArchive, OmexDescription, KnownFormats, VCard - -from pyenzyme.enzymeml.core.unitdef import UnitDef -from pyenzyme.enzymeml.core.vessel import Vessel -from pyenzyme.enzymeml.core.abstract_classes import AbstractSpecies -from pyenzyme.enzymeml.core.protein import Protein -from pyenzyme.enzymeml.core.reactant import Reactant -from pyenzyme.enzymeml.core.replicate import Replicate -from pyenzyme.enzymeml.core.measurement import Measurement -from pyenzyme.enzymeml.core.measurementData import MeasurementData -from pyenzyme.enzymeml.core.enzymereaction import EnzymeReaction, ReactionElement -from pyenzyme.enzymeml.models.kineticmodel import KineticModel, KineticParameter - -# Initialize the logger -logger = logging.getLogger("pyenzyme") - - -class EnzymeMLWriter: - def __init__(self): - self.namespace = "http://sbml.org/enzymeml/version2" - - def toFile(self, enzmldoc, path: str, name: Optional[str] = None): - """ - Writes EnzymeMLDocument object to an .omex container - - Args: - enzmldoc (String): Previously created instance of an EnzymeML document - path (String): EnzymeML file is written to this destination - name (String): Name of the target EnzymeML file. Defaults to 'None' and thus uses the doc name. - - """ - - self.path = os.path.normpath(path) - self.enzmldoc = enzmldoc # TODO replace all static enzmldocs with self.enzmldoc - - try: - os.makedirs(os.path.join(self.path, "data")) - except FileExistsError: - pass - - doc = SBMLDocument() - doc.setLevelAndVersion(3, 2) - - model = doc.createModel() - model.setName(enzmldoc.name) - model.setId(enzmldoc.name) - - # Convert the SBML model to EnzymeML - self.convertEnzymeMLToSBML(model, enzmldoc) - - # Add data - paths = self._addData(model, enzmldoc.measurement_dict) - - # Write to EnzymeML - writer = SBMLWriter() - writer.writeSBMLToFile(doc, os.path.join(self.path, "experiment.xml")) - - # Validate the SBML document - self._validate_sbml_doc(document=doc) - - # Write to OMEX - self._createArchive(enzmldoc, paths, name) - - shutil.rmtree(os.path.join(self.path, "data"), ignore_errors=True) - - os.remove(os.path.join(self.path, "experiment.xml")) - - def toXMLString(self, enzmldoc): - """ - Converts EnzymeMLDocument to XML string. - - Args: - EnzymeMLDocument enzmldoc: Previously created instance of an - EnzymeML document - """ - doc = SBMLDocument() - doc.setLevelAndVersion(3, 2) - - model = doc.createModel() - model.setName(enzmldoc.name) - model.setId(enzmldoc.name) - - self.path = None - self.enzmldoc = enzmldoc - - # Convert the SBML model to EnzymeML - self.convertEnzymeMLToSBML(model, enzmldoc) - - # Add data - self._addData(model, enzmldoc.measurement_dict) - - # Write to EnzymeML - writer = SBMLWriter() - return writer.writeToString(doc) - - def toSBML(self, enzmldoc): - """ - Returns libSBML model. - - Args: - EnzymeMLDocument enzmldoc: Previously created instance of an - EnzymeML document - """ - - doc = SBMLDocument() - doc.setLevelAndVersion(3, 2) - - model = doc.createModel() - model.setName(enzmldoc.name) - model.setId(enzmldoc.name) - - # Convert the SBML model to EnzymeML - self.convertEnzymeMLToSBML(model, enzmldoc) - - return doc - - def convertEnzymeMLToSBML(self, model: libsbml.Model, enzmldoc): - """Manages the conversion of EnzymeML to SBML. - - Args: - model (libsbml.Model): The blank SBML model, where the EnzymeML document is converted to. - enzmldoc (EnzymeMLDocument): The EnzymeML document to be converted. - """ - - self._addRefs(model, enzmldoc) - self._addVessel(model, enzmldoc.vessel_dict) - self._addProteins(model, enzmldoc.protein_dict) - self._addComplex(model, enzmldoc.complex_dict) - self._addReactants(model, enzmldoc.reactant_dict) - self._addGlobalParameters(model, enzmldoc.global_parameters) - self._addReactions(model, enzmldoc.reaction_dict) - self._addUnits(model, enzmldoc._unit_dict) - - def _createArchive(self, enzmldoc, listofPaths, name: str = None): - - archive = CombineArchive() - - # add experiment file to archive - archive.addFile( - f"{self.path}/experiment.xml", - "./experiment.xml", - KnownFormats.lookupFormat("sbml"), - True, - ) - - # add logs to teh Archive - history_path = f"{self.path}/history.log" - try: - with open(history_path, "wb") as f: - f.write(enzmldoc.log.getvalue().encode("utf-8", "replace")) - - self.addFileToArchive( - archive=archive, - file_path=history_path, - target_path="./history.log", - format=KnownFormats.lookupFormat("txt"), - description="History of the EnzymeML document", - ) - except Exception as e: - logging.error("couldn't write history") - - # add metadata to the experiment file - location = "./experiment.xml" - description = OmexDescription() - description.setAbout(location) - description.setDescription("EnzymeML model") - description.setCreated(OmexDescription.getCurrentDateAndTime()) - - for creat in enzmldoc.creator_dict.values(): - creator = VCard() - creator.setFamilyName(creat.family_name) - creator.setGivenName(creat.given_name) - creator.setEmail(creat.mail) - description.addCreator(creator) - - archive.addMetadata(".", description) - archive.addMetadata(location, description) - - # Add CSV files to archive - for csvPath, file_path in listofPaths.items(): - - self.addFileToArchive( - archive=archive, - file_path=csvPath, - target_path=file_path, - format=KnownFormats.lookupFormat("csv"), - description="Time course data", - ) - - # Add files from fileDict - tmpFolder = None - if enzmldoc.file_dict: - # create temporary directory for files - tmpFolder = tempfile.mkdtemp() - - for fileDict in enzmldoc.file_dict.values(): - - file_handler = fileDict["handler"] - file_name = fileDict["name"] - fileDescription = fileDict["description"] - tmpPath = os.path.join(tmpFolder, file_name) - - # Write file locally and add it to the document - with open(tmpPath, "wb") as fileHandle: - fileHandle.write(file_handler.read()) - - self.addFileToArchive( - archive=archive, - file_path=tmpPath, - target_path=f"./files/{file_name}", - format=KnownFormats.guessFormat(file_name), - description=fileDescription, - ) - - if name: - out_file = f"{name.replace(' ', '_')}.omex" - else: - out_file = f"{enzmldoc.name.replace(' ', '_')}.omex" - - out_path = os.path.join(self.path, out_file) - - try: - os.remove(out_path) - except FileNotFoundError: - pass - - archive.writeToFile(out_path) - - # Remove temporary directory - if tmpFolder is not None: - shutil.rmtree(tmpFolder, ignore_errors=True) - - # Remove unused - os.remove(f"{self.path}/history.log") - - print(f"\nArchive was written to {out_path}\n") - - @staticmethod - def addFileToArchive(archive, file_path, target_path, format, description): - - # Add file to archive - archive.addFile(file_path, target_path, format, False) - - # Add metadata to the file - omexDesc = OmexDescription() - omexDesc.setAbout(target_path) - omexDesc.setDescription(description) - omexDesc.setCreated(OmexDescription.getCurrentDateAndTime()) - archive.addMetadata(target_path, omexDesc) - - def setupXMLNode(self, name, namespace=True): - # Helper function - # Creates an XML node - # for annotations - node = XMLNode(XMLTriple(name), XMLAttributes(), XMLNamespaces()) - - if namespace is True: - node.addNamespace(self.namespace, "enzymeml") - - return node - - @staticmethod - def appendAttribute(attributeName, value): - # Helper function - # creates XML node - # XYZ - value = XMLNode(value) - attributeNode = XMLNode( - XMLTriple(attributeName), XMLAttributes(), XMLNamespaces() - ) - - attributeNode.addChild(value) - - return attributeNode - - def appendMultiAttributes( - self, attributeName, object, objectMapping, annotationNode - ): - node = self.setupXMLNode(attributeName, namespace=False) - - for key, value in objectMapping.items(): - # "value" --> 10.00 - if hasattr(object, value): - - attribute = getattr(object, value) - if attribute: - node.addAttr(key, str(attribute)) - else: - return 0 - else: - return 0 - - annotationNode.addChild(node) - - def appendOptionalAttribute( - self, attributeName, object, objectName, annotationNode - ): - # Helper function - # Adds elements to annotation node - if object.__dict__.get(objectName): - value = self.appendAttribute( - attributeName, str(getattr(object, objectName)) - ) - annotationNode.addChild(value) - - def _addRefs(self, model: libsbml.Model, enzmldoc): - """Converts EnzymeMLDocument refrences to SBML. - - Args: - model (libsbml.Model): The SBML model the reference is added to. - enzmldoc (EnzymeMLDocument): The EnzymeMLDocument instance that contains the information. - """ - - # Create reference node - referenceAnnotation = self.setupXMLNode("enzymeml:references") - - # Optional attributes - referenceAttributes = { - "enzymeml:doi": "doi", - "enzymeml:pubmedID": "pubmedid", - "enzymeml:url": "url", - } - - for attributeName, objectName in referenceAttributes.items(): - self.appendOptionalAttribute( - attributeName=attributeName, - object=enzmldoc, - objectName=objectName, - annotationNode=referenceAnnotation, - ) - - if referenceAnnotation.getNumChildren() > 0: - model.appendAnnotation(referenceAnnotation) - - def _addUnits(self, model: libsbml.Model, unit_dict: Dict[str, UnitDef]) -> None: - """Converts EnzymeMLDocument units to SBML. - - Args: - model (libsbml.Model): The SBML model the units are added to. - unit_dict (Dict[str, UnitDef]): The EnzymeMLDocument units to be added to the SBML model. - """ - - for unit_id, unit_def in unit_dict.items(): - - unit = model.createUnitDefinition() - unit.setId(unit_id) - unit.setMetaId(unit_def.meta_id) - unit.setName(unit_def.name) - - # TODO Add ontology - # if unit_def.getOntology() != "NONE": - # cvterm = CVTerm() - # cvterm.addResource(unit_def.getOntology()) - # cvterm.setQualifierType(BIOLOGICAL_QUALIFIER) - # cvterm.setBiologicalQualifierType(BQB_IS) - # unit.addCVTerm(cvterm) - - for base_unit in unit_def.units: - - kind = base_unit.kind - exponent = base_unit.exponent - scale = base_unit.scale - multiplier = base_unit.multiplier - - baseUnitDef = unit.createUnit() - - try: - baseUnitDef.setKind(libsbml.UnitKind_forName(kind)) - except TypeError: - baseUnitDef.setKind(kind) - - baseUnitDef.setExponent(exponent) - baseUnitDef.setScale(scale) - baseUnitDef.setMultiplier(multiplier) - - def _addVessel(self, model, vessel_dict: Dict[str, Vessel]) -> None: - """Converts EnzymeMLDocument vessel to SBML. - - Args: - model (libsbml.Model): The SBML model the vessel is added to. - vessel (Vessel): The EnzymeMLDocument vessel to be added to the SBML model. - """ - - for vessel_id, vessel in vessel_dict.items(): - compartment = model.createCompartment() - compartment.setId(vessel_id) - compartment.setName(vessel.name) - compartment.setConstant(vessel.constant) - compartment.setSpatialDimensions(3) - - if vessel.volume: - compartment.setSize(vessel.volume) - compartment.setUnits(vessel._unit_id) - - def _addProteins( - self, model: libsbml.Model, protein_dict: Dict[str, Protein] - ) -> None: - """Converts EnzymeMLDocument proteins to SBML. - - Args: - model (libsbml.Model): The SBML model the proteins are added to. - protein_dict (Dict[str, Protein]): The EnzymeMLDocument proteins to be added to the SBML model. - """ - - # EnzymeML attributes - proteinAttributes = { - "enzymeml:sequence": "sequence", - "enzymeml:ECnumber": "ecnumber", - "enzymeml:uniprotID": "uniprotid", - "enzymeml:organism": "organism", - "enzymeml:organismTaxID": "organism_tax_id", - } - - for protein in protein_dict.values(): - self._addSpecies( - obj=protein, - annotation_name="enzymeml:protein", - model=model, - optional_attributes=proteinAttributes, - ) - - def _addComplex( - self, model: libsbml.Model, complex_dict: Dict[str, Protein] - ) -> None: - """Converts EnzymeMLDocument proteins to SBML. - - Args: - model (libsbml.Model): The SBML model the proteins are added to. - complex_dict (Dict[str, Protein]): The EnzymeMLDocument complex to be added to the SBML model. - """ - - complexAttributes = { - "enzymeml:participant": "participants", - } - - for complex in complex_dict.values(): - self._addSpecies( - obj=complex, - annotation_name="enzymeml:complex", - model=model, - optional_attributes=complexAttributes, - ) - - def _addReactants(self, model: libsbml.Model, reactant_dict: Dict[str, Reactant]): - """Converts EnzymeMLDocument reactants to SBML. - - Args: - model (libsbml.Model): The SBML model the reactants are added to. - reactant_dict (Dict[str, Reactant]): The EnzymeMLDocument reactants to be added to the SBML model. - """ - - # EnzymeML attributes - reactantAttributes = { - "enzymeml:inchi": "inchi", - "enzymeml:smiles": "smiles", - "enzymeml:chebiID": "chebi_id", - } - - for reactant in reactant_dict.values(): - self._addSpecies( - obj=reactant, - annotation_name="enzymeml:reactant", - model=model, - optional_attributes=reactantAttributes, - ) - - def _addGlobalParameters( - self, model: libsbml.Model, global_parameters: Dict[str, KineticParameter] - ): - """Writes global parameters to the SBML document. - - Args: - model (libsbml.Model): SBML model the global parameters are added to. - global_parameters (Dict[str, KineticParameter]): Global parameters that will be added to the SBML document. - """ - - for parameter in global_parameters.values(): - sbml_param = self._write_global_parameter(parameter, model) - - # Create a mapping for the 'enzymeml:parameter' annotation - annotation = self.setupXMLNode("enzymeml:parameter") - optional_parameters = { - "enzymeml:initialValue": "initial_value", - "enzymeml:upperBound": "upper", - "enzymeml:lowerBound": "lower", - } - - for attributeName, objectName in optional_parameters.items(): - - self.appendOptionalAttribute( - attributeName=attributeName, - object=parameter, - objectName=objectName, - annotationNode=annotation, - ) - - if annotation.getNumChildren() > 0: - sbml_param.appendAnnotation(annotation) - - def _write_global_parameter( - self, parameter: KineticParameter, model: libsbml.Model - ): - """Writes a global parameter to a reaction""" - - global_param = model.createParameter() - global_param.setId(parameter.name) - global_param.setConstant(parameter.constant) - - if parameter.value is not None: - global_param.setValue(parameter.value) - - if parameter._unit_id: - global_param.setUnits(parameter._unit_id) - - if parameter.ontology: - global_param.setSBOTerm(parameter.ontology) - - return global_param - - def _addSpecies( - self, - obj: AbstractSpecies, - annotation_name: str, - model: libsbml.Model, - optional_attributes: Dict[str, str], - ) -> None: - """Helper function to create any EnzymeML species from - - Args: - obj (AbstractSpecies): Object containing the species informations. - """ - - species = model.createSpecies() - species.setId(obj.id) - species.setName(obj.name) - species.setMetaId(obj.meta_id) - species.setSBOTerm(obj.ontology) - species.setCompartment(obj.vessel_id) - species.setBoundaryCondition(obj.boundary) - species.setConstant(obj.constant) - species.setHasOnlySubstanceUnits(False) - - if obj.init_conc is not None and obj._unit_id: - species.setSubstanceUnits(obj._unit_id) - species.setInitialConcentration(obj.init_conc) - elif obj.init_conc and not obj._unit_id: - raise ValueError( - f"The object {obj.name} ({obj.id}) has an initial concentration value but no unit. Please specify a unit for a successful export to SBML." - ) - - # Controls if annotation will be added - objAnnotation = self.setupXMLNode(annotation_name) - - # EnzymeML attributes - for attributeName, objectName in optional_attributes.items(): - - # TODO more elegant way to handle complex parts - if isinstance(getattr(obj, objectName), list): - for id in getattr(obj, objectName): - value = self.appendAttribute(attributeName, id) - objAnnotation.addChild(value) - - continue - - self.appendOptionalAttribute( - attributeName=attributeName, - object=obj, - objectName=objectName, - annotationNode=objAnnotation, - ) - - if objAnnotation.getNumChildren() > 0: - species.appendAnnotation(objAnnotation) - - def _addReactions( - self, model: libsbml.Model, reaction_dict: Dict[str, EnzymeReaction] - ): - """Converts EnzymeMLDocument reactions to SBML. - - Args: - model (libsbml.Model): The SBML model the reactions are added to. - reaction_dict (Dict[str, EnzymeReaction]): The EnzymeMLDocument reactions to be added to the SBML model. - """ - - for reaction_id, enzyme_reaction in reaction_dict.items(): - - reaction = model.createReaction() - reaction.setId(reaction_id) - reaction.setMetaId(enzyme_reaction.meta_id) - reaction.setName(enzyme_reaction.name) - reaction.setReversible(enzyme_reaction.reversible) - reaction.setSBOTerm(enzyme_reaction.ontology) - - # Add kinetic model - if enzyme_reaction.model: - self._addModelToReaction( - reaction=reaction, kinetic_model=enzyme_reaction.model - ) - - # Enzymeml attributes - reactionAnnotation = self.setupXMLNode("enzymeml:reaction") - - # Track conditions - conditionsAnnotation = self.setupXMLNode( - "enzymeml:conditions", namespace=False - ) - - conditionsMapping = { - "enzymeml:temperature": { - "value": "temperature", - "unit": "_temperature_unit_id", - }, - "enzymeml:ph": {"value": "ph"}, - } - - for attributeName, objectMapping in conditionsMapping.items(): - self.appendMultiAttributes( - attributeName=attributeName, - object=enzyme_reaction, - objectMapping=objectMapping, - annotationNode=conditionsAnnotation, - ) - - if conditionsAnnotation.getNumChildren() > 0: - reactionAnnotation.addChild(conditionsAnnotation) - reaction.appendAnnotation(reactionAnnotation) - - # Write educts - self.writeElements( - reaction_elements=enzyme_reaction.educts, - createFunction=reaction.createReactant, - ) - - # Write products - self.writeElements( - reaction_elements=enzyme_reaction.products, - createFunction=reaction.createProduct, - ) - - # Write modifiers - self.writeElements( - reaction_elements=enzyme_reaction.modifiers, - createFunction=reaction.createModifier, - ) - - def _addModelToReaction( - self, - reaction: libsbml.Reaction, - kinetic_model: KineticModel, - ) -> None: - """ - Adds kinetic law to SBML reaction. - Only relevant for EnzymeML > SBML conversion. - - Args: - reaction (libsbml.Reaction): SBML reaction class - kinetic_model (KineticModel): PyEnzyme Model object - """ - - # Set up SBML kinetic law node - sbml_law = reaction.createKineticLaw() - - for parameter in kinetic_model.parameters: - - if parameter.is_global: - continue - - param = self._write_local_parameter(parameter, sbml_law) - - # Create a mapping for the 'enzymeml:parameter' annotation - annotation = self.setupXMLNode("enzymeml:parameter") - optional_parameters = { - "enzymeml:initialValue": "initial_value", - "enzymeml:upperBound": "upper", - "enzymeml:lowerBound": "lower", - "enzymeml:stdev": "stdev", - } - - for attributeName, objectName in optional_parameters.items(): - - self.appendOptionalAttribute( - attributeName=attributeName, - object=parameter, - objectName=objectName, - annotationNode=annotation, - ) - - if annotation.getNumChildren() > 0: - param.appendAnnotation(annotation) - - sbml_law.setMath(libsbml.parseL3Formula(kinetic_model.equation)) - sbml_law.setName(kinetic_model.name) - - if kinetic_model.ontology: - sbml_law.setSBOTerm(kinetic_model.ontology) - - def _write_local_parameter( - self, - parameter: KineticParameter, - kinetic_law: libsbml.KineticLaw, - ): - """Writes a local parameter to a reaction""" - - local_param = kinetic_law.createLocalParameter() - local_param.setId(parameter.name) - - if parameter.value is not None: - local_param.setValue(parameter.value) - - if parameter._unit_id: - local_param.setUnits(parameter._unit_id) - - if parameter.ontology: - local_param.setSBOTerm(parameter.ontology) - - return local_param - - def writeElements( - self, reaction_elements: List[ReactionElement], createFunction: Callable - ): - """Writes SpeciesReference elements to the SBML document. - - Args: - reaction_elements (List[ReactionElement]): List of reaction elements containing information on stoichiometry, species_id and ontology. - createFunction (Callable): Function that creates either an educt, product or modifier list to the SBML document. - """ - - for reaction_element in reaction_elements: - - speciesRef = createFunction() - speciesRef.setSpecies(reaction_element.species_id) - speciesRef.setSBOTerm(reaction_element.ontology) - - try: - # Catch modifiers --> No stoich/constant in SBML - speciesRef.setConstant(reaction_element.constant) - speciesRef.setStoichiometry(reaction_element.stoichiometry) - except AttributeError: - pass - - def writeReplicateData(self, replicate: Replicate, format_annot: XMLNode) -> None: - """Writes column information to the enzymeml:format annotation. - - Args: - replicate (Replicate): Replicate holding the time course data. - format_annot (XMLNode): The enzymeml:format annotation node. - """ - - column = self.setupXMLNode("enzymeml:column", namespace=False) - - # Add attributes - column.addAttr("replica", replicate.id) - column.addAttr("species", replicate.species_id) - column.addAttr("type", replicate.data_type) - column.addAttr("unit", replicate._data_unit_id) - column.addAttr("index", str(self.index)) - column.addAttr("isCalculated", str(replicate.is_calculated)) - - # Add colum to format annotation - format_annot.addChild(column) - - def _addData( - self, model: libsbml.Model, measurement_dict: Dict[str, Measurement] - ) -> Dict[str, str]: - """Adds measurement data to the SBML document and writes time course data to DataFrames/CSV. - - Args: - model (libsbml.Model): The SBML model to which the measurements are added. - measurement_dict (Dict[str, Measurement]): The EnzymeMLDocument measurement data. - - Returns: - Dict[str, str]: Mapping from actual CSV paths to the ones added to the OMEX - """ - - # Initialize data lists - data_annotation = self.setupXMLNode("enzymeml:data") - files = self.setupXMLNode("enzymeml:files", namespace=False) - formats = self.setupXMLNode("enzymeml:formats", namespace=False) - measurements = self.setupXMLNode("enzymeml:listOfMeasurements", namespace=False) - paths = {} - - for index, (measurement_id, measurement) in enumerate(measurement_dict.items()): - - # setup format/Measurement ID/node and file ID - format_id = f"format{index}" - file_id = f"file{index}" - - format_annot = self.setupXMLNode("enzymeml:format", namespace=False) - - format_annot.addAttr("id", format_id) - - measurement_annot = self.setupXMLNode( - "enzymeml:measurement", namespace=False - ) - - # Get time and add to format node - data_columns = {} - if measurement._has_replicates(): - # Only write time data if replicates are present - self.writeTimeData( - measurement=measurement, - format_annot=format_annot, - data_columns=data_columns, - ) - - self.writeMeasurementData( - measurement=measurement, - measurement_annot=measurement_annot, - format_annot=format_annot, - data_columns=data_columns, - ) - - # Create DataFrame to save measurement - if data_columns: - file_name = f"{measurement_id}.csv" - file_path = f"./data/{file_name}" - df = pd.DataFrame(data_columns) - - if self.path: - df_path = os.path.join(self.path, "data", file_name) - df.to_csv(df_path, index=False, header=False) - else: - df_path = "Unused" - - paths[df_path] = file_path - - # Add data to data annotation - file_annot = self.setupXMLNode("enzymeml:file", namespace=False) - - file_annot.addAttr("file", file_path) - file_annot.addAttr("format", format_id) - file_annot.addAttr("id", file_id) - - files.addChild(file_annot) - formats.addChild(format_annot) - - measurement_annot.addAttr("file", file_id) - - measurement_annot.addAttr("id", measurement_id) - measurement_annot.addAttr("name", measurement.name) - - # TODO find a sustainable way - if measurement.temperature: - measurement_annot.addAttr( - "temperature_unit", measurement._temperature_unit_id - ) - measurement_annot.addAttr( - "temperature_value", str(measurement.temperature) - ) - - if measurement.ph: - measurement_annot.addAttr("ph", str(measurement.ph)) - - measurements.addChild(measurement_annot) - - # add annotation to listOfReactions - if formats.getNumChildren() > 0: - data_annotation.addChild(formats) - if measurements.getNumChildren() > 0: - data_annotation.addChild(measurements) - if files.getNumChildren() > 0: - data_annotation.addChild(files) - if data_annotation.getNumChildren() > 0: - model.getListOfReactions().appendAnnotation(data_annotation) - - return paths - - def writeTimeData( - self, measurement: Measurement, format_annot: XMLNode, data_columns: dict - ): - time = measurement.global_time - time_unit = measurement._global_time_unit_id - - time_column = XMLNode(XMLTriple("enzymeml:column"), XMLAttributes()) - - time_column.addAttr("type", "time") - time_column.addAttr("unit", time_unit) - time_column.addAttr("index", "0") - - format_annot.addChild(time_column) - - # write initConc annotation and prepare raw data - data_columns.update({f"time/{time_unit}": time}) - self.index = 1 - - def writeMeasurementData( - self, - measurement: Measurement, - measurement_annot: XMLNode, - format_annot: XMLNode, - data_columns: Dict[str, List[float]], - ) -> None: - """Writes measurement metadata as columns to the SBML document annotation enzymeml:column. - - Args: - measurement (Measurement): EnzymeML measurement that is written to SBML. - measurement_annot (XMLNode): The SBML XMLNode the measurement metadata is written to. - format_annot (XMLNode): The SBML XMLNode the column information is written to. - - Returns: - List[List[float]]: The time course data from the replicate objects. - """ - - species_dict = measurement.species_dict - - # Init Conc - # Extract measurementData objects - proteins = species_dict["proteins"] - reactants = species_dict["reactants"] - - # Append initConc data to measurement - self.appendInitConcData( - measurement_annot=measurement_annot, - measurement_data_dict=proteins, - species_type="protein", - ) - self.appendInitConcData( - measurement_annot=measurement_annot, - measurement_data_dict=reactants, - species_type="reactant", - ) - - if measurement._has_replicates(): - # Replicates - self.appendReplicateData( - {**proteins, **reactants}, - format_annot=format_annot, - data_columns=data_columns, - ) - - def appendInitConcData( - self, - measurement_annot: XMLNode, - measurement_data_dict: Dict[str, MeasurementData], - species_type: str, - ): - """Adds individual intial concentration data to the enzymeml:measurement annotation. - - Args: - measurement_annot (XMLNode): The SBML XMLNode for the measurement annotation. - measurement_data_dict (Dict[str, MeasurementData]): The EnzymeMLDocument measurement data. - species_type (str): The type of species in the measurement_data_dict. - """ - - for species_id, measurement_data in measurement_data_dict.items(): - - # Create the initConc annotation - initConcAnnot = self.setupXMLNode("enzymeml:initConc", namespace=False) - - initConcAnnot.addAttr(f"{species_type}", species_id) - initConcAnnot.addAttr("value", str(measurement_data.init_conc)) - - # TODO Check if the unit given in the unit attribute is compliant - # TODO Handle this in the base class by assigning a 'None' to the _unit_id - unit_id_check = self.enzmldoc._convertToUnitDef(measurement_data.unit) - - if measurement_data._unit_id != unit_id_check: - measurement_data._unit_id = unit_id_check - - initConcAnnot.addAttr("unit", measurement_data._unit_id) - - measurement_annot.addChild(initConcAnnot) - - def appendReplicateData( - self, - species: Dict[str, MeasurementData], - format_annot: XMLNode, - data_columns: Dict[str, List[float]], - ) -> Dict[str, List[float]]: - """Extracts all time course data from the replicate objects and adds them to the the enzymeml:format annotation. - - Args: - species (Dict[str, MeasurementData]): Reactant/Protein measurement data. - format_annot (XMLNode): The SBML XMLNode representing the format annotation. - - Returns: - List[List[float]]: The time course data from the replicate objects. - """ - - # Collect all replicates - replicates = [ - replicate for data in species.values() for replicate in data.replicates - ] - - for replicate in replicates: - - # Write data to format_annot - self.writeReplicateData(replicate=replicate, format_annot=format_annot) - - # Extract series data - header_info = "/".join( - [replicate.id, replicate.species_id, replicate.data_type.value] - ) - - data_columns[header_info] = replicate.data - - self.index += 1 - - return data_columns - - def _validate_sbml_doc(self, document): - """Validates an SBML documentument and checks for errors.""" - - document.checkConsistency() - if document.getNumErrors(libsbml.LIBSBML_SEV_ERROR) > 0: - warnings.warn("Invalid SBML document! See warnings:") - warnings.warn(document.getErrorLog().toString()) diff --git a/pyenzyme/enzymeml/tools/templatereader.py b/pyenzyme/enzymeml/tools/templatereader.py deleted file mode 100644 index ac72ecd6..00000000 --- a/pyenzyme/enzymeml/tools/templatereader.py +++ /dev/null @@ -1,357 +0,0 @@ -# File: templatereader.py -# Project: tools -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import numpy as np -import pandas as pd -import re - -from typing import List, Dict - -from pyenzyme.enzymeml.core.ontology import DataTypes -from pyenzyme.enzymeml.core.creator import Creator -from pyenzyme.enzymeml.core.vessel import Vessel -from pyenzyme.enzymeml.core.protein import Protein -from pyenzyme.enzymeml.core.reactant import Reactant -from pyenzyme.enzymeml.core.enzymereaction import EnzymeReaction -from pyenzyme.enzymeml.core.measurement import Measurement -from pyenzyme.enzymeml.core.replicate import Replicate - - -def read_template(path: str, enzmldoc): - """Reads the EnzymeML spreadsheet template to an EnzymeML document. - - Args: - path (str): Path to the EnzymeML spreadsheet template. - - Returns: - EnzymeMLDocument: The resulting EnzymeML document. - """ - - general_info = pd.read_excel(path, sheet_name="General Information", skiprows=1) - - params = dict( - name=general_info.iloc[0, 1], - created=str(general_info.iloc[1, 1]), - doi=None, - pubmedid=general_info.iloc[3, 1], - url=general_info.iloc[4, 1], - ) - - enzmldoc = enzmldoc(**params) - - # User information - user_infos = pd.read_excel( - path, sheet_name="General Information", skiprows=9 - ).dropna() - - for record in user_infos.to_dict(orient="records"): - enzmldoc.addCreator( - Creator( - family_name=record["Family Name"], - given_name=record["Given Name"], - mail=record["Mail"], - ) - ) - - # Vessel - vessels = pd.read_excel(path, sheet_name="Vessels", skiprows=2) - instances = get_instances(vessels, Vessel, enzmldoc) - - for instance in instances: - enzmldoc.addVessel(Vessel(**instance)) - - # Proteins - proteins = pd.read_excel(path, sheet_name="Proteins", skiprows=2) - instances = get_instances(proteins, Protein, enzmldoc) - - for instance in instances: - enzmldoc.addProtein(Protein(**instance)) - - # Reactants - reactants = pd.read_excel(path, sheet_name="Reactants", skiprows=2) - - instances = get_instances(reactants, Reactant, enzmldoc) - - for instance in instances: - enzmldoc.addReactant(Reactant(**instance)) - - # Reactions - reactions = pd.read_excel(path, sheet_name="Reactions", skiprows=2) - - # Merge proteins and modifiers - nu_mods = [ - merge_protein_modifier(protein, modifier) - for modifier, protein in zip( - reactions.Modifiers.values.tolist(), reactions.Proteins.values.tolist() - ) - ] - - # Replace merged modifiers with modifier tag - reactions.Modifiers = nu_mods - - instances = get_instances(reactions, EnzymeReaction, enzmldoc) - - for instance in instances: - - # Get Educts, Products and Modifiers to add to the reaction - educts = parse_reaction_element(instance.get("educts")) - products = parse_reaction_element(instance.get("products")) - modifiers = parse_reaction_element(instance.get("modifiers")) - - instance.pop("educts") - instance.pop("products") - instance.pop("modifiers") - - # Instantiate Reaction - reaction = EnzymeReaction(**instance) - - add_instances(reaction.addModifier, modifiers, enzmldoc) - add_instances(reaction.addEduct, educts, enzmldoc) - add_instances(reaction.addProduct, products, enzmldoc) - - enzmldoc.addReaction(reaction) - - # Measurements - data = pd.read_excel(path, sheet_name="Data", skiprows=2) - - # Reduce dataset to experiment IDs - experiment_ids = set(data["Experiment ID"].dropna()) - - for experiment_id in experiment_ids: - exp_data = data[data["Experiment ID"] == experiment_id] - exp_data.columns = rename_columns(exp_data) - - # Get split index - split_index = get_split_index(exp_data) - - measurement = Measurement(name=experiment_id) - - # Get time - time_values, time_unit = get_time(exp_data, split_index) - - measurement.global_time = time_values - measurement.global_time_unit = time_unit - - # initialize replicate index - replicate_index = 0 - - for i, row in exp_data.iterrows(): - - row_meta = row.iloc[0:split_index].to_dict() - row_values = row.iloc[split_index::].dropna().values.tolist() - - if "Time" in row_meta["Type"]: - continue - - protein_name = row_meta["Protein Name"] - protein_conc = row_meta["Protein Initial concentration"] - protein_unit = row_meta["Protein Unit"] - - measurement.addData( - init_conc=protein_conc, - unit=protein_unit, - protein_id=enzmldoc.getProtein(protein_name.strip()).id, - ) - - reactant_name = row_meta["Reactant Name"] - reactant_conc = row_meta["Reactant Initial concentration"] - reactant_unit = row_meta["Reactant Unit"] - reactant_id = enzmldoc.getReactant(reactant_name.strip()).id - - # Get the type of the measurement - type_mapping = { - "Concentration": DataTypes.CONCENTRATION, - "Absorption": DataTypes.ABSORPTION, - "Conversion [%]": DataTypes.CONVERSION, - "Peak Area": DataTypes.PEAK_AREA, - "Total concentration after addition": DataTypes.CONCENTRATION, - } - - if reactant_id not in measurement.species_dict["reactants"]: - measurement.addData( - init_conc=reactant_conc, unit=reactant_unit, reactant_id=reactant_id - ) - - replicates = None - if row_values: - - if type_mapping[row["Type"]] is DataTypes.CONVERSION: - # Convert percent to rational [0,1] - row_values = list(map(lambda value: value / 100, row_values)) - reactant_unit = "dimensionless" - elif type_mapping[row["Type"]] is DataTypes.PEAK_AREA: - # Add dimensionless unit - if any(value < 0 for value in row_values): - raise ValueError( - "Peak area cant be negative. Data might be corrupted" - ) - - reactant_unit = "dimensionless" - - # Create Replicate - replicate = Replicate( - id=f"replica_{replicate_index}_{reactant_name}_{experiment_id}", - species_id=reactant_id, - data_type=type_mapping[row["Type"]], - data_unit=reactant_unit, - time_unit=time_unit, - time=time_values, - data=row_values, - ) - - replicate_index += 1 - - measurement.addReplicates(replicate, enzmldoc) - - # Finally, add measurement to the document - enzmldoc.addMeasurement(measurement) - - return enzmldoc - - -def get_instances(sheet: pd.DataFrame, obj, enzmldoc) -> list: - mapping = get_template_map(obj) - instances = extract_values(sheet, mapping) - - return [clean_instance(instance, enzmldoc) for instance in instances] - - -def get_template_map(obj) -> dict: - """Extracts the template mappings""" - - return { - field.field_info.extra.get("template_alias"): name - for name, field in obj.__fields__.items() - if field.field_info.extra.get("template_alias") - } - - -def extract_values(sheet: pd.DataFrame, mapping: Dict[str, str]) -> list: - - # Get all valid columns - cols = [col for col in sheet.columns if "Unnamed" not in col] - sheet = sheet[cols] - sheet = sheet.replace(r"^\s*$", np.nan, regex=True) - sheet = sheet.dropna(thresh=len(mapping) - 2) - records = sheet.to_dict(orient="records") - - return [ - { - mapping.get(key): item - for key, item in record.items() - if item and mapping.get(key) and "nan" != repr(item) - } - for record in records - ] - - -def clean_instance(instance: dict, enzmldoc) -> dict: - def get_vessel_name(name: str, enzmldoc): - return enzmldoc.getVessel(name).id - - def get_constant(constant: str, enzmldoc): - if constant == "Constant": - return True - elif constant == "Not constant": - return False - - def get_reversible(reversible: str, enzmldoc): - if reversible == "reversible": - return True - elif reversible == "irreversible": - return False - - def clean_temp_unit(temp_unit: str, enzmldoc): - return temp_unit.replace("°", "") - - def clean_uniprotid(uniprotid: str, enzmldoc): - if repr(uniprotid) == "nan": - return None - else: - uniprotid - - mapping = { - "vessel_id": get_vessel_name, - "constant": get_constant, - "temperature_unit": clean_temp_unit, - "reversible": get_reversible, - "uniprotid": clean_uniprotid, - } - - for key, item in instance.items(): - if key in mapping: - instance[key] = mapping[key](item, enzmldoc) - - return instance - - -def merge_protein_modifier(protein, modifier): - proteins = repr(protein).split(",") - modifier = repr(modifier).split(",") - entities = proteins + modifier - - return ",".join( - [entity.replace("'", "").strip() for entity in entities if entity != "nan"] - ) - - -def rename_columns(columns: List[str]) -> List[str]: - mapping = { - "Unnamed: 4": "Protein Initial concentration", - "Unnamed: 5": "Protein Unit", - "Unnamed: 7": "Reactant Initial concentration", - "Unnamed: 8": "Reactant Unit", - "Protein": "Protein Name", - "Reactant": "Reactant Name", - } - - return [mapping[col] if mapping.get(col) else col for col in columns] - - -def get_split_index(df: pd.DataFrame): - for index, col in enumerate(df.columns): - if "Enter data via transpose" in col: - return index - - -def get_time(data: pd.DataFrame, split_index): - for i, (_, row) in enumerate(data.iterrows()): - if "Time" in row["Type"]: - time_meta = row.iloc[0:split_index].to_dict() - time_unit = get_time_unit(time_meta) - - time_values = row.iloc[split_index::].dropna().values - - return time_values.tolist(), time_unit - - -def get_time_unit(row: dict): - - regex = r"\[([A-Za-z]*)\]" - regex = re.compile(regex) - unit = regex.findall(row["Type"])[0] - - return unit - - -def parse_reaction_element(elements): - if repr(elements) == "nan": - return [] - - return elements - - -def add_instances(fun, elements, enzmldoc) -> None: - all_species = {**enzmldoc.protein_dict, **enzmldoc.reactant_dict} - for id, species in all_species.items(): - - if species.name in elements: - fun( - species_id=id, - stoichiometry=1.0, - constant=False, - enzmldoc=enzmldoc, - ) diff --git a/pyenzyme/enzymeml/tools/unitcreator.py b/pyenzyme/enzymeml/tools/unitcreator.py deleted file mode 100644 index 1cad29dd..00000000 --- a/pyenzyme/enzymeml/tools/unitcreator.py +++ /dev/null @@ -1,220 +0,0 @@ -# File: unitcreator.py -# Project: tools -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import libsbml - -from deepdiff import DeepDiff - -from pyenzyme.enzymeml.core.unitdef import UnitDef -from pyenzyme.enzymeml.tools.unitparser import UnitParser - - -class UnitCreator: - def __init__(self): - - self.__functionDict = { - "M": self.__Molar, - "mole": self.__Mole, - "l": self.__Volume, - "liter": self.__Volume, - "litre": self.__Volume, - "g": self.__Amount, - "gram": self.__Amount, - "s": self.__Seconds, - "sec": self.__Seconds, - "second": self.__Seconds, - "seconds": self.__Seconds, - "min": self.__Minutes, - "mins": self.__Minutes, - "minutes": self.__Minutes, - "h": self.__Hours, - "hour": self.__Hours, - "hours": self.__Hours, - "C": self.__Celsius, - "celsius": self.__Celsius, - "Celsius": self.__Celsius, - "K": self.__Kelvin, - "kelvin": self.__Kelvin, - "Kelvin": self.__Kelvin, - "dimensionless": self.__Dimensionless, - } - - def getUnit(self, unit_string, enzmldoc) -> str: - """ - Args: - String unit_string: Standard short form of unit - """ - if unit_string.count("/") > 1: - splitted = unit_string.split("/") - corrected = splitted[0] + "/" + "".join(splitted[1::]) - raise ValueError( - f"Unit '{unit_string}' contains multiple backlashes. Please stick to using a single backslash instead for units involving two or more base units per side. Use the following to enter your unit '{corrected}'" - ) - - # Generate ID - id = enzmldoc._generateID(prefix="u", dictionary=enzmldoc._unit_dict) - - # Call unit parser to identify units - parser = UnitParser() - units = sorted(parser.parse(unit_string)) - - # Initialize UnitDef - nominator, denominator = [], [] - for prefix, baseunit, exponent in units: - - pre_unit = "".join([prefix, baseunit]) - - if float(exponent) > 0: - if abs(float(exponent)) > 1: - nominator.append(pre_unit + f"^{exponent[1::]}") - if abs(float(exponent)) == 1: - nominator.append(pre_unit) - else: - if abs(float(exponent)) > 1: - denominator.append(pre_unit + f"^{exponent[1::]}") - if abs(float(exponent)) == 1: - denominator.append(pre_unit) - - # Reformat unit string to a convenient format - if not nominator: - nominator = ["1"] - - if denominator: - name = " / ".join([" ".join(nominator), " ".join(denominator)]) - if not denominator: - name = " ".join(nominator) - - # Convert Celsius to Kelvin - No SBML kind for C! - if name.lower() == "c": - name = "K" - - # Initialize UnitDef object - unitdef = UnitDef(name=name, id=id) - - for prefix, baseunit, exponent in units: - self.__functionDict[baseunit](unitdef, prefix, exponent) - - # Check if there is already a similar unit defined - if self.__checkFootprints(enzmldoc, unitdef.getFootprint()) != "NEW": - return self.__checkFootprints(enzmldoc, unitdef.getFootprint()) - - enzmldoc._unit_dict[unitdef.id] = unitdef - - return unitdef.id - - def __checkFootprints(self, enzmldoc, footprint): - - for unit_id, unitdef in enzmldoc._unit_dict.items(): - if DeepDiff(unitdef.getFootprint(), footprint) == {}: - return unit_id - - return "NEW" - - def __Mole(self, unitdef, prefix, exponent): - - kind = libsbml.UnitKind_toString(libsbml.UNIT_KIND_MOLE) - scale = self.__getPrefix(prefix) - multiplier = 1 - - unitdef.addBaseUnit(kind, exponent, scale, multiplier) - - def __Molar(self, unitdef, prefix, exponent): - - self.__Mole(unitdef, prefix, exponent) - - kind = libsbml.UnitKind_toString(libsbml.UNIT_KIND_LITRE) - scale = 1 - multiplier = 1 - - unitdef.addBaseUnit(kind, -1, scale, multiplier) - - def __Volume(self, unitdef, prefix, exponent): - - kind = libsbml.UnitKind_toString(libsbml.UNIT_KIND_LITRE) - scale = self.__getPrefix(prefix) - multiplier = 1 - - unitdef.addBaseUnit(kind, exponent, scale, multiplier) - - def __Amount(self, unitdef, prefix, exponent): - - kind = libsbml.UnitKind_toString(libsbml.UNIT_KIND_GRAM) - scale = self.__getPrefix(prefix) - multiplier = 1 - - unitdef.addBaseUnit(kind, exponent, scale, multiplier) - - def __Seconds(self, unitdef, prefix, exponent): - - kind = libsbml.UnitKind_toString(libsbml.UNIT_KIND_SECOND) - scale = 1 - multiplier = 1 - - unitdef.addBaseUnit(kind, exponent, scale, multiplier) - - def __Minutes(self, unitdef, prefix=None, exponent=1): - - kind = libsbml.UnitKind_toString(libsbml.UNIT_KIND_SECOND) - scale = 1 - multiplier = 60 - - unitdef.addBaseUnit(kind, exponent, scale, multiplier) - - def __Hours(self, unitdef, prefix=None, exponent=1): - - kind = libsbml.UnitKind_toString(libsbml.UNIT_KIND_SECOND) - scale = 1 - multiplier = 60 * 60 - - unitdef.addBaseUnit(kind, exponent, scale, multiplier) - - def __Celsius(self, unitdef, prefix=None, exponent=1): - - kind = libsbml.UnitKind_toString(libsbml.UNIT_KIND_KELVIN) - scale = 1 - multiplier = 1 - - unitdef.addBaseUnit(kind, exponent, scale, multiplier) - - def __Kelvin(self, unitdef, prefix=None, exponent=1): - - kind = libsbml.UnitKind_toString(libsbml.UNIT_KIND_KELVIN) - scale = 1 - multiplier = 1 - - unitdef.addBaseUnit(kind, exponent, scale, multiplier) - - def __Dimensionless(self, unitdef, prefix=None, exponent=1): - - kind = libsbml.UnitKind_toString(libsbml.UNIT_KIND_DIMENSIONLESS) - scale = 1 - multiplier = 1 - exponent = 1 - - unitdef.addBaseUnit(kind, exponent, scale, multiplier) - - def __getPrefix(self, prefix): - - if prefix == "f": - return -15 - elif prefix == "p": - return -12 - elif prefix == "n": - return -9 - elif prefix == "u": - return -6 - elif prefix == "m": - return -3 - elif prefix == "c": - return -2 - elif prefix == "d": - return -1 - elif prefix == "k": - return 3 - elif len(prefix) == 0: - return 1 - else: - raise KeyError(f"Prefix {prefix} is unknown. Please define unit manually") diff --git a/pyenzyme/enzymeml/tools/unitparser.py b/pyenzyme/enzymeml/tools/unitparser.py deleted file mode 100644 index 67b9b94d..00000000 --- a/pyenzyme/enzymeml/tools/unitparser.py +++ /dev/null @@ -1,124 +0,0 @@ -# File: unitparser.py -# Project: tools -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import re - - -class UnitParser(object): - def __init__(self): - - self.__prefixDict = { - "femto": "f", - "pico": "p", - "nano": "n", - "micro": "u", - "milli": "m", - "mili": "m", - "centi": "c", - "deci": "d", - "kilo": "k", - } - - def parse(self, exp_string): - - # reformat string - exp_string = self.__exponentString(exp_string) - - # split by exponents - regex = r"([a-zA-Z]*)([-+][\d]*)" - regex = regex.replace(" ", "") - - unit_tup = re.findall(regex, exp_string) - return [self.__getPrefix(tup[0], tup[-1]) for tup in unit_tup if tup[0]] - - def getExponentString(self, string): - - string = string.split("/") - - if len(string) == 2: - nom = string[0].split(" ")[0:-1] - den = string[1].split(" ")[1::] - - elif len(string) == 1: - nom = string - den = [] - - return "".join( - [self.__reformatString(unit, "+") for unit in nom] - + [self.__reformatString(unit, "-") for unit in den] - ) - - def __reformatString(self, string, pre): - regex = r"(\w*)[-+|\^]?(\d*)" - groups = re.findall(regex, string) - exp_string = "" - - for unit, exponent in groups: - - if len(unit) > 0: - - if len(exponent) == 1: - exp_string += unit + pre + exponent - - elif "+" in exponent or "-" in exponent: - exp_string += unit + exponent - - else: - exp_string += unit + "%s1" % pre - - return exp_string - - def __exponentString(self, string): - - string = [st.strip() for st in string.split("/")] - - if len(string) == 2: - nom = string[0].split(" ") - den = string[1].split(" ") - - elif len(string) == 1: - nom = string - den = [] - - return "".join( - [self.__reformatString(unit, "+") for unit in nom] - + [self.__reformatString(unit, "-") for unit in den] - ) - - def __getPrefix(self, string, exponent): - - regex = "^([a|f|p|n|u|m|c|d|k]?)(C|celsius|K|kelvin|M|molar|mole|g|gram|l|L|litre|liter|[s]?|sec|seconds|second|min|mins|minutes|h|hour|hours|dimensionless)$" - string = string.lower()[0:-1] + string[-1] - - try: - prefix = re.findall(regex, string)[0][0] - - if len(prefix) > 1: - prefix = self.__prefixDict[prefix.lower()] - - unit = re.findall(regex, string)[0][1] - - return (prefix, unit, exponent) - - except IndexError: - - try: - unit = re.findall(regex, string)[0][0] - return (None, unit, exponent) - except IndexError: - supportedUnits = regex.split() - raise KeyError( - f'Could not parse unit, because "{string}" is not supported. PyEnzyme currently supports the following {self.__getSupportUnitString(regex)}' - ) - - @staticmethod - def __getSupportUnitString(regex): - prefixes, units = tuple(regex.split(")(")) - - units = units.replace("[s]?", "s").replace(")$", "").split("|") - prefixes = prefixes.replace("^([", "").replace("]?", "").split("|") - - return f"prefixes [{', '.join(prefixes)}] and units [{', '.join(units)}]" diff --git a/pyenzyme/enzymeml/tools/validator.py b/pyenzyme/enzymeml/tools/validator.py deleted file mode 100644 index ff70a9b2..00000000 --- a/pyenzyme/enzymeml/tools/validator.py +++ /dev/null @@ -1,746 +0,0 @@ -# File: validator.py -# Project: core -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import importlib -import logging -import re -import yaml -import os -import pandas as pd - -from itertools import cycle -from typing import Optional, Dict, Tuple, List - -from pyenzyme.enzymeml.core.unitdef import UnitDef - -# Set up a logger for validation -logger = logging.getLogger("validator") -logger.setLevel(logging.WARNING) - -# create console handler and set level to debug -ch = logging.StreamHandler() -ch.setLevel(logging.WARNING) - -# create formatter -formatter = logging.Formatter("ValidationWarning: %(message)s") - -# add formatter to ch -ch.setFormatter(formatter) - -# add ch to logger -logger.addHandler(ch) - - -class EnzymeMLValidator: - def __init__(self, scheme: Dict): - """Initialize a Validator instance that is capapble to find non-compliances. - - - Args: - scheme (dict): EnzymeML object model for every attribute including options to check upon. - """ - - self.scheme = scheme - - # ! Validation of EnzymeMLDocuments - def validate(self, enzmldoc) -> Tuple[Dict, bool]: - """Validate an EnzymeMLDocument based on a given scheme, let it be YAML or XLSX. - - Args: - enzmldoc (EnzymeMLDocument): EnzymeMLDocument that will be validated and reported on. - return_report (bool): Whether or not an error should raised or only then report should be returned when validation fails. Please note, thsi behaviour should remain - """ - - return self._validate_objects(obj=enzmldoc.dict(), valid=self.scheme) - - @classmethod - def _validate_objects(cls, obj, valid: Dict) -> Tuple[Dict, bool]: - """Validates sub-objects of an EnzymeMLDocument""" - - # Initialize report and control list - report, valid_check = {}, [] - - for attrib, value in obj.items(): - if not valid.get(attrib): - # Skip attributes not supported - continue - - if attrib == "model": - # Model can be None, thus it needs special treatment - obj_report, check = cls._validate_objects(value, valid[attrib]) - - elif isinstance(value, dict): - if attrib == "species_dict": - # Measurements species_dict needs to be flattened - value = {**value["proteins"], **value["reactants"]} - - # Perform validation on dict struct - cls._validate_iterator( - value.items(), attrib, valid, valid_check, report - ) - - elif isinstance(value, list): - if not all(isinstance(x, (float, int, str)) for x in value): - # If its an actual list of objects - cls._validate_iterator( - enumerate(value), attrib, valid, valid_check, report - ) - - else: - # Any primitive file gets validated here - obj_report, check = cls._validate_field(value, valid[attrib], attrib) - - if obj_report: - # Only add if non-empty - report[attrib] = obj_report - - valid_check += [check] - - return report, all(valid_check) - - @classmethod - def _validate_iterator(cls, iterator, attrib, valid, check, global_report): - """Validates an arbitrary data structure if given as an iterator""" - - # Initialize local report - local_report = {} - - for id, obj in iterator: - report, is_valid = cls._validate_objects(obj, valid[attrib]) - - if report: - # Only add if report is non-empty - local_report[id] = report - check += [is_valid] - - # Only add to global report if there are errors - if local_report: - global_report[attrib] = local_report - - @staticmethod - def _validate_field(value, valid, attrib): - """Validates an attribute based on options given from a YAML file""" - - if "id" in attrib: - return {}, True - - report, check = {}, True - enum = valid["enum"] - val_min = valid["range"]["min"] - val_max = valid["range"]["max"] - - if all(val is None for val in enum): - enum = None - - # Check mandatory - if value is None and valid["mandatory"] is True: - check = False - report.update({"mandatory_error": "Mandatory attribute is not given."}) - - # Check enum - if enum and value not in enum: - check = False - report.update( - { - "enum_error": f"Value of '{value}' does not comply with vocabulary {enum}" - } - ) - - # Check value range - if val_max and val_min: - if isinstance(value, (int, float)): - if not val_min <= value <= val_max: - check = False - report.update( - { - "range_error": f"Value of '{value}' is out of range for [{val_min}, {val_max}]" - } - ) - - else: - check = False - report.update( - { - "range_error": f"Value '{value}' of type '{type(value)}' is not numeric." - } - ) - - return report, check - - # ! Template exports - @classmethod - def generateValidationSpreadsheet(cls, path: str = "."): - """Generates an EnzymeML validation spreadsheet based on the current implementation. - - The Validation spreadsheet can be used on database-side to generate an EnzymeML validation - YAML file that can be used by PyEnzyme to validate if a given document fits the minimal - requirements given in said database. - """ - - # Prevent circular imports (Its dirty, I know, but it works) - from pyenzyme.enzymeml.core.enzymemldocument import EnzymeMLDocument - - # Get all specs - validator = cls(scheme={}) - _, data = validator._get_cls_annotations(EnzymeMLDocument, level="document") - - # Generate the document - validator._generate_spreadsheet(data, path) - - @classmethod - def generateValidationYAML(cls, path: Optional[str] = None) -> str: - """Generates an EnzymeML validation YAML file based on the current implementation. - - The Validation YAML can be used by PyEnzyme to validate if a given document fits the minimal - requirements given in said database. - """ - - # Prevent circular imports (Its dirty, I know, but it works) - from pyenzyme.enzymeml.core.enzymemldocument import EnzymeMLDocument - - # Get collection data - cls = cls(scheme={}) - collection, _ = cls._get_cls_annotations(EnzymeMLDocument, level="document") - - if path: - path = os.path.join(path, "EnzymeML_Validation_Template.yaml") - with open(path, "w") as f: - f.write(cls._dump_validation_template_yaml(collection)) - - return cls._dump_validation_template_yaml(collection) - - def _get_cls_annotations(self, cls, level: str) -> Tuple[Dict, List]: - """Parses class definitions to recursively get sub-modules""" - - data = [] - cls_collection = {} - exclude = [ - "unit_dict", - "file_dict", - "log", - "level", - "version", - "meta_id", - "id", - "boundary", - "uri", - "creator_id", - ] - - # Sort annotations to primitive -> sub-structure - def sort_func(annot): - """Sort recursion for clean parsing""" - data_type = repr(annot[1]) - if "pyenzyme" in data_type: - return True - else: - return False - - annotations = sorted(cls.__annotations__.items(), key=sort_func) - - for name, value in annotations: - - if "pyenzyme.enzymeml" in repr(value) and "ontology" not in repr(value): - - annot = repr(value) - regex = r"(pyenzyme.enzymeml.[a-zA-Z]*.[a-zA-Z]*).([a-zA-Z]*)" - regex = re.compile(regex) - module, cls_name = regex.findall(annot)[0] - - sub_class = getattr(importlib.import_module(module), cls_name) - - if name not in exclude: - cls_collection[name], sub_data = self._get_cls_annotations( - sub_class, level=name - ) - data += sub_data - - continue - - if not name.startswith("_") and name not in exclude: - - options = { - "mandatory": True, - "description": cls.__fields__[name].field_info.description, - } - - data_fields = { - "Object": cls.__name__, - "Field": name, - "Mandatory": "True", - "Value Range": "Enter Min to Max value", - "Controlled Vocabulary": "Enter a set of allowed names/values", - "Description": cls.__fields__[name].field_info.description, - "Internal Level (not relevant)": level, - } - - options["range"] = {"min": None, "max": None} - data_fields["Controlled Vocabulary"] = "---" - options["enum"] = [None] - data_fields["Value Range"] = "---" - - cls_collection[name] = options - data.append(data_fields) - - return cls_collection, data - - @staticmethod - def _dump_validation_template_yaml(collection: Dict) -> str: - class MyDumper(yaml.Dumper): - def increase_indent(self, flow=False, indentless=False): - return super(MyDumper, self).increase_indent(flow, False) - - # Generate yaml_string - return yaml.dump( - collection, Dumper=MyDumper, default_flow_style=False, sort_keys=False - ) - - @staticmethod - def _generate_spreadsheet(data, path): - """Generates an EnzymeML validation spreadsheet based on the current implementation. - - The Validation spreadsheet can be used on database-side to generate an EnzymeML validation - YAML file that can be used by PyEnzyme to validate if a given document fits the minimal - requirements given in said database. - - Args: - data (dict): Schema that has been extracted from the EnzymeMLDocument class. - - """ - - # Initialize writer and setup a DataFrame to write to - writer = pd.ExcelWriter(os.path.join(path, "EnzymeML_Validation_Template.xlsx")) - df = pd.DataFrame(data) - df.to_excel(writer, sheet_name="validation", index=False, na_rep="NaN") - - # Create color cycle that will be used to mark different objects - colors = cycle( - [ - "#FFEBEE", - "#F3E5F5", - "#E8EAF6", - "#E3F2FD", - "#E0F7FA", - "#E8F5E9", - "#F9FBE7", - "#FFFDE7", - "#FBE9E7", - ] - ) - - # Process colummns - # Auto-adjust columns' width - for column in df: - column_width = max([len(str(value)) for value in df[column]]) - - if column_width <= 20: - # Keep columns at a min width - column_width = 20 - - col_idx = df.columns.get_loc(column) - writer.sheets["validation"].set_column(col_idx, col_idx, column_width) - - # Process rows - # Set height of first row - workbook = writer.book - style = workbook.add_format() - style.set_align("left") - writer.sheets["validation"].set_row(0, 25, style) - - obj = None - for row_idx, row in df.iterrows(): - - workbook = writer.book - style = workbook.add_format() - style.set_align("center_across") - style.set_text_h_align("left") - - if obj != row["Object"]: - # Object changes - current_color = next(colors) - obj = row["Object"] - - # Set borders to top == bold - style.set_left(1) - style.set_right(1) - style.set_left_color("#9E9E9E") - style.set_right_color("#9E9E9E") - style.set_top(1) - - else: - # Same object, keep normal border pattern - style.set_border(1) - style.set_border_color("#9E9E9E") - - # Set the background color of the row - style.bg_color = current_color - - # Write to row - writer.sheets["validation"].set_row(row_idx + 1, 25, style) - - writer.close() - - # ! Template conversion - @classmethod - def convertSheetToYAML(cls, path: str, filename: Optional[str] = None) -> str: - """Converts a given EnzymeML Validation spreadsheet to a valid EnzymeML validation YAML file. - - The generated file can be hosted in a database where it is publicaly available to - validate EnzymeML documents based on the minimal requirements defined in the YAML file. - It can also serve as a local file to validate to your own requirements. - - If a filename has been given, the YAML file will be written to the same directory - as the spreadsheet template. Otherwise - - Args: - - path (str): Path to the EnzymeML Validation spreadsheet - filename (Optional[str]): Name of the generated YAML file, if specified. Defaults to None. - - Returns: - - str: Generated YAML file string. - - """ - - # Prevent circular imports (Its dirty, I know, but it works) - from pyenzyme.enzymeml.core.enzymemldocument import EnzymeMLDocument - - # Read template and get class structure collection - cls = cls(scheme={}) - template = pd.read_excel(path).to_dict(orient="records") - empty_collection, _ = cls._get_cls_annotations( - EnzymeMLDocument, level="document" - ) - - for entry in template: - - # Get everything from the entry - level = entry["Internal Level (not relevant)"] - field = entry["Field"] - mandatory = entry["Mandatory"] - val_range = entry["Value Range"] - enum = entry["Controlled Vocabulary"] - - # Process given values - if enum in ["Enter a set of allowed names/values", "---"]: - enum = [None] - else: - enum = [val.strip() for val in enum.split(",")] - - if val_range in ["Enter Min to Max value", "---"]: - min, max = None, None - else: - values = [float(val.strip()) for val in val_range.split("-")] - min, max = values[0], values[1] - - # Retrieve fitting object from collection - if level == "document": - # Root level - collection_obj = empty_collection - else: - # Sub-root object - collection_obj = cls._traverse_data(empty_collection, level) - - # Apply changes to the empty collection - field_options = collection_obj[field] - field_options.update( - { - "mandatory": mandatory, - "enum": enum, - "range": {"min": min, "max": max}, - } - ) - - # Get the yaml string - yaml_string = cls._dump_validation_template_yaml(empty_collection) - - if filename: - path = os.path.dirname(os.path.abspath(path)) - yaml_path = os.path.join(path, f"{filename}.yaml") - - with open(yaml_path, "w") as f: - f.write(yaml_string) - - return yaml_string - - @classmethod - def _traverse_data(cls, data, search_term: str) -> Optional[Dict]: - """Traverses a dictionary and returns the object reference""" - - # Adapt to file types - if isinstance(data, dict): - fields = data.items() - elif isinstance(data, list): - fields = enumerate(data) - else: - raise TypeError(f"Invalid data type {type(data)}") - - result = None - - for key, item in fields: - if search_term == key: - return item - elif isinstance(item, (dict, list)): - result = cls._traverse_data(item, search_term) - - if result: - return result - - return None - - # ! Unit checker - @classmethod - def check_unit_consistency(cls, enzmldoc, strict: bool = False): - """Validates unit consistency in an EnzymeMLDocument. - - This method will check whether all (initial) concentration units of a species - are consistent throughout the document. Default mode only requires measurements and - replicates to comply to the species unit. - - This can also be set to 'strict', where any species, measurement, - replicate and parameter has to comply in a global fashion. - To summarise, strict mode checks on: - - - Consistent usage of time - - Consistent concentration units for ALL concentrations - - Consistent volumetric unit including vessels - - Strict mode is of greates importance for kinetic modeling, differing scales - can lead to wrong results. However, the code will still run and only warnings - will be given. - - Args: - strict (bool, optional): _description_. Defaults to False. - - Returns: - Dict: Report on which units are inconsistent - Bool: Whether the document is consistent in units - """ - - # Initialize validator to use - cls = cls(scheme={}) - - # Now create a data structure of units per species for - # Measurements and Replicates - used_units = {} - used_time_units = {} - used_volume_units = {} - report, is_consistent = {}, True - - # Check vessel unit - cls._check_vessels(enzmldoc, used_volume_units) - - # Perform consistency check on parameters - cls._check_parameters(enzmldoc, used_time_units, used_volume_units) - - # Perform consistency check on species/replicates/measurements - cls._check_species( - enzmldoc, report, used_time_units, used_units, used_volume_units - ) - - if strict: - - if len(set(used_units.values())) != 1: - logger.warning( - f"Inconsistent usage of concentration units. All units should be the same, but found {set(used_units.values())}" - ) - - # Append to report - report["conc_units"] = cls._reformat_strict_report(used_units) - - if len(set(used_time_units.values())) != 1: - logger.warning( - f"Inconsistent usage of time units. All units should be the same, but found {set(used_time_units.values())}" - ) - - # Append to report - report["time_units"] = cls._reformat_strict_report(used_time_units) - - if len(set(used_volume_units.values())) != 1: - logger.warning( - f"Inconsistent usage of volume units. All units should be the same, but found {set(used_volume_units.values())}. In order to guarantee modelling platforms based on SBML to work properly, make sure that vessel volume unit is consistent with the one used in concentration. \n\nBest done by editing vessels using 'enzmldoc.getVessel(ID)' and an appropriate 'unit' assigned along with a rescaling." - ) - - # Append to report - report["volume_units"] = cls._reformat_strict_report(used_volume_units) - - if report: - is_consistent = False - - return is_consistent, report - - def _check_vessels(self, enzmldoc, used_volume_units: Dict[str, str]): - """Checks volumetric unit consitency of Vessels""" - - for vessel in enzmldoc.vessel_dict.values(): - vessel_unit = vessel.unitdef() - volume_part = self._get_baseunit_part(vessel_unit, kind="litre") - - if volume_part: - used_volume_units[vessel.id] = volume_part[0].get_name() - - def _check_parameters( - self, - enzmldoc, - used_time_units: Dict[str, str], - used_volume_units: Dict[str, str], - ) -> None: - """Checks time unit consistency of Parameters""" - - # Get all the time units used in parameters - # Export local parameters - params = [ - param - for reaction in enzmldoc.reaction_dict.values() - for param in reaction.model.parameters - if reaction.model and not param.is_global - ] - - # Global parameters - params += [param for param in enzmldoc.global_parameters.values()] - - for param in params: - if param.unit: - - # Get the time unit, if given - time_part = self._get_baseunit_part(param.unitdef(), "second") - - if time_part: - # When there is a time unit, store it - used_time_units[param.name] = time_part[0].get_name() - - # Get the volume unit, if given - volume_part = self._get_baseunit_part(param.unitdef(), "litre") - - if volume_part: - # When there is a time unit, store it - used_volume_units[param.name] = volume_part[0].get_name() - - def _check_species( - self, - enzmldoc, - report: Dict, - used_time_units: Dict[str, str], - used_units: Dict[str, str], - used_volume_units: Dict[str, str], - ): - """Checks consistency for species to measurements""" - - all_species = { - **enzmldoc.protein_dict, - **enzmldoc.reactant_dict, - **enzmldoc.complex_dict, - } - - for id, species in all_species.items(): - - # Get the unit expected from the species - unit = species.unitdef() - - # If there is no unit at the species, take the - # first from a measurement - if unit: - unit_name = unit._get_unit_name() - used_units[id] = unit_name - else: - logger.warning( - f"{species.__class__.__name__} {id} has no unit specified. Using measurement unit as reference now. Use 'strict' to force units at species.", - ) - used_units[id] = "No Unit" - unit_name = None - - # Initialize a dict to report on where units are inconsistent - log_dict = {"measurements": {}, "replicates": {}} - - for measurement in enzmldoc.measurement_dict.values(): - meas_species = measurement._getAllSpecies() - meas_data = meas_species.get(id) - - if meas_data: - - # Get measurement unit - meas_data = meas_species.get(id) - meas_unit = meas_data.unitdef() - meas_unit_name = meas_unit._get_unit_name() - meas_vol_unit = self._get_baseunit_part(meas_unit, "litre") - - if unit is None: - # Use meas unit as the expected one - unit = meas_unit - unit_name = meas_unit._get_unit_name() - - # Add to list of already used units - location = f"{measurement.id}/{meas_data.get_id()}" - used_units[location] = meas_unit_name - used_time_units[location] = measurement.global_time_unit - - # If there is a volumetric unit, add it - if meas_vol_unit: - used_volume_units[location] = meas_vol_unit[0].get_name() - - if unit_name != meas_unit_name: - # Report if there are inconsistencies - log_dict["measurements"][measurement.id] = { - "expected": unit._get_unit_name(), - "given": meas_unit_name, - } - - # Check replicates - for replicate in meas_data.replicates: - - # Get replicate units - repl_unit = replicate.data_unitdef() - repl_unit_name = repl_unit._get_unit_name() - repl_vol_unit = self._get_baseunit_part(repl_unit, "litre") - - # Add to list of already used units - location = ( - f"{measurement.id}/{meas_data.get_id()}/{replicate.id}" - ) - used_units[location] = meas_unit_name - used_time_units[location] = measurement.global_time_unit - - # If there is a volumetric unit, add it - if meas_vol_unit: - used_volume_units[location] = repl_vol_unit[0].get_name() - - if unit_name != repl_unit_name: - # Report if there are inconsistencies - log_dict["replicates"][measurement.id] = { - "expected": unit._get_unit_name(), - "given": repl_unit_name, - } - - # Add to the overall report - if log_dict["measurements"] or log_dict["replicates"]: - report[id] = {key: report for key, report in log_dict.items() if report} - - @staticmethod - def _reformat_strict_report(report: Dict[str, str]): - """Reformats a report for improved redability""" - - # Get all values that occur - values = list(set(report.values())) - nu_report = {} - - # Iterate over all those values and collect those entries that - # posses the said object - for value in values: - nu_report[value] = [loc for loc, unit in report.items() if unit == value] - - return nu_report - - @staticmethod - def _get_baseunit_part(unitdef: UnitDef, kind: str): - """Gets a specific part of a unitdef""" - - return list( - filter( - lambda baseunit: baseunit.kind == kind, - unitdef.units, - ) - ) diff --git a/pyenzyme/thinlayers/TL_Base.py b/pyenzyme/thinlayers/TL_Base.py deleted file mode 100644 index f8086197..00000000 --- a/pyenzyme/thinlayers/TL_Base.py +++ /dev/null @@ -1,65 +0,0 @@ -# File: measurementData.py -# Project: thinlayers -# Author: Jan Range, Dr. Frank Bergmann, Prof. Dr. Johann Rohwer -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from abc import ABC, abstractmethod -from typing import Union, Optional - -from pyenzyme.enzymeml.core.enzymemldocument import EnzymeMLDocument - - -class BaseThinLayer(ABC): - def __init__( - self, - path, - measurement_ids: Union[str, list] = "all", - init_file: Optional[str] = None, - ): - - if isinstance(measurement_ids, str) and measurement_ids != "all": - raise TypeError("Measurements must either be a list of IDs or 'all'") - - # Load the EnzymeML document to gather data - self.filepath = path - self.enzmldoc = EnzymeMLDocument.fromFile(path) - - # If an initialization schema is given, apply it here - if init_file: - self.enzmldoc.applyModelInitialization(init_file, to_values=True) - - # The following will extract the tim course data found in all measurements - self.sbml_xml = self.enzmldoc.toXMLString() - self.data = self.enzmldoc.exportMeasurementData(measurement_ids=measurement_ids) - - # Get all rate laws and store them in a dictionary - self.reaction_data = { - reaction.id: (reaction.model, reaction.getStoichiometricCoefficients()) - for reaction in self.enzmldoc.reaction_dict.values() - if reaction.model - } - - # Store global parameters if given - self.global_parameters = self.enzmldoc.global_parameters - - @abstractmethod - def optimize(self): - """ - The optimize method should only utilize the objects attributes 'data' and 'models' since these - should cover all necessary informations to run the optimization. In addition, the method could - also utilize the XML string if based in SBML. - - Finally, if an optimization has been performed the method should enter all estimated values as - well as optional statistics such as stdev or AKAIKE for instance to each parameter. Since the - models found in 'self.models' are immutable objects and thus references, the estimated parameters - will already be inserted to the model. - - See the example class below to see how the optimization could be implemented. - """ - raise NotImplementedError() - - @abstractmethod - def write(self) -> EnzymeMLDocument: - """Writes the estimated parameters back to a new EnzymeMLDocument""" - raise NotImplementedError() diff --git a/pyenzyme/thinlayers/TL_Copasi.py b/pyenzyme/thinlayers/TL_Copasi.py deleted file mode 100644 index 3c317dcd..00000000 --- a/pyenzyme/thinlayers/TL_Copasi.py +++ /dev/null @@ -1,463 +0,0 @@ -# """ -# File: TL_Copasi.py -# Project: ThinLayers -# Author: Jan Range -# Author: Frank Bergmann -# License: BSD-2 clause -# ----- -# Last Modified: Wednesday June 23rd 2021 10:25:11 pm -# Modified By: Jan Range () -# ----- -# Copyright (c) 2021 Institute of Biochemistry and Technical Biochemistry Stuttgart -# """ - -""" -This module contains the COPASI ThinLayer: - -To use it, simply instantiate it using an EnzymeML Document. This will estimate all parameters of the enzyme ml -document (all temporary data will be stored in working_dir). - - >>> tl = ThinLayerCopasi(path='Model4.omex', outdir='./working_dir') - >>> tl.optimize() - - This would return a pandas dataframe with the fit found, to write it into a new document you'd use: - - >>> new_doc = tl.write() - - -In order to change the settings of the parameter estimation, or to change the loaded model we recommend to use -`basico `_. so after initializing the thinlayer, you'd load the model into basico. -For example here is how you'd switch the method to particle swarm: - - >>> from basico import * - >>> tl = ThinLayerCopasi(path='Model4.omex', outdir='./working_dir') - >>> set_current_model(tl.dm) - >>> set_task_settings(T.PARAMETER_ESTIMATION, - ... { - ... 'method': {'name': PE.PARTICLE_SWARM } - ... }) - -If the modle is loaded into basico, you can easily plot the results as well. The COPASI file (.cps) in the working -directory can also be directly used from the COPASI Graphical User Interface. - -""" - -import logging -from typing import Union, Optional - -from pyenzyme.thinlayers import BaseThinLayer -import os -import pandas as pd -from builtins import enumerate - -_COPASI_IMPORT_ERROR = None -try: - import COPASI -except ModuleNotFoundError as e: - _COPASI_IMPORT_ERROR = """ - ThinLayerCopasi is not available. - To use it, please install the following dependencies: - {} - """.format(e) - -log = logging.getLogger(__name__) - - -class ThinLayerCopasi(BaseThinLayer): - - def __init__(self, path, outdir, - measurement_ids: Union[str, list] = "all", - init_file: Optional[str] = None): - """ - Initializes a new instance of the COPASI thin layer, by loading the EnzymeML file - specified in `path` and creating a COPASI file (+ data) in `outdir`. - - :param path: the enzyme ml document to load - :param outdir: the output dir - :param measurement_ids: the measurement ids or all - :param init_file: optional initialization file for fit items - - """ - # check dependencies - if _COPASI_IMPORT_ERROR: - raise RuntimeError(_COPASI_IMPORT_ERROR) - - # initialize base class, let it do the reading - BaseThinLayer.__init__( - self, path, measurement_ids, init_file=init_file) - self.name = self.enzmldoc.name - self.working_dir = os.path.join(os.path.abspath(outdir), self.name) - self.cps_file = os.path.join(self.working_dir, self.name + '.cps') - if not os.path.exists(self.working_dir): - os.makedirs(self.working_dir) - - # now initialize the COPASI document from it - self.dm = COPASI.CRootContainer.addDatamodel() - try: - self.dm.importSBMLFromString(self.sbml_xml) - except COPASI.CCopasiException: - log.error(COPASI.CCopasiMessage.getAllMessageText()) - - # maps - self._init_maps() - - # variables - self.model = self.dm.getModel() - self.task = self.dm.getTask('Parameter Estimation') - self.task.setScheduled(True) - self.task.setUpdateModel(False) - self.task.setMethodType(COPASI.CTaskEnum.Method_LevenbergMarquardt) - self.problem = self.task.getProblem() - self.problem.setCalculateStatistics(True) - self.exp_set = self.problem.getExperimentSet() - - # read in experiments - self._import_experiments() - - # set all parameters as fit items - if init_file is None: - self._set_default_items() - else: - self._set_default_items_from_init_file() - - self.dm.saveModel(self.cps_file, True) - - def _init_maps(self): - """Initializes a map from SBML id to COPASI objects""" - self.sbml_id_map = {} - for item in self.dm.getModel().getMetabolites(): - self.sbml_id_map[item.getSBMLId()] = item - for item in self.dm.getModel().getModelValues(): - self.sbml_id_map[item.getSBMLId()] = item - for item in self.dm.getModel().getReactions(): - self.sbml_id_map[item.getSBMLId()] = item - for item in self.dm.getModel().getCompartments(): - self.sbml_id_map[item.getSBMLId()] = item - - def _get_cn_for_item(self, item): - """Resolves the given item to CN or None - - :param item: dictionary with 'name' and optionally 'reaction_id' - :type item: dict - :return: the CN if found, or None - :rtype: COPASI.CCommonName - """ - reaction = None - if 'reaction_id' in item and item['reaction_id'] in self.sbml_id_map: - reaction = self.sbml_id_map[item['reaction_id']] - - if 'name' in item: - if reaction is not None: - return reaction.getParameterObjects(item['name'])[0].getCN() - - mv = self.model.getModelValue(item['name']) - if mv is not None: - return mv.getInitialValueReference().getCN() - - metab = self.model.getMetabolite(item['name']) - if metab is not None: - return metab.getInitialConcentrationReference().getCN() - - return None - - def _import_experiments(self): - """ Writes all experiments to TSV file and performs mapping in COPASI - - :return: None - """ - for measurement_id, measurement_dict in self.data.items(): - sbml_ids = measurement_dict['data'].columns.to_list() - - data = measurement_dict['data'] - - for k, v in measurement_dict['initConc'].items(): - data = data.join(pd.DataFrame({'init_{0}'.format(k): [v[0]]})) - sbml_ids.append('init_{0}'.format(k)) - # validate value - if k in data.columns: - initial_value = data[data['time'] == 0.0][k] - if not initial_value.empty and float(initial_value) != v[0]: - log.warning(f'The initial value of "{k}" in experiment "{measurement_id}" ' - f'is inconsistent with the specified initial concentration: ' - f'{float(initial_value)} != {v[0]}') - - exp_filename = os.path.abspath(os.path.join( - self.working_dir, measurement_id + '.tsv')) - - data.to_csv(exp_filename, - sep='\t', header=True, index=False) - - exp = COPASI.CExperiment(self.dm) - exp.setObjectName( - '{0}'.format(measurement_id) - ) - exp.setFirstRow(1) - exp.setLastRow(data.shape[0] + 1) - exp.setHeaderRow(1) - exp.setFileName(exp_filename) - exp.setExperimentType(COPASI.CTaskEnum.Task_timeCourse) - exp.setSeparator('\t') - exp.setNumColumns(len(sbml_ids)) - exp = self.exp_set.addExperiment(exp) - info = COPASI.CExperimentFileInfo(self.exp_set) - info.setFileName(exp_filename) - - # Mapping from .tsv file to COPASI bindings - obj_map = exp.getObjectMap() - obj_map.setNumCols(data.shape[1]) - - for i, col in enumerate(sbml_ids): - if col == "time": - role = COPASI.CExperiment.time - obj_map.setRole(i, role) - - elif col in self.sbml_id_map.keys(): - role = COPASI.CExperiment.dependent - obj_map.setRole(i, role) - obj_map.setObjectCN(i, self.sbml_id_map[col] - .getConcentrationReference().getCN().getString()) - - elif col.startswith('init_') and col[5:] in self.sbml_id_map.keys(): - role = COPASI.CExperiment.independent - obj_map.setRole(i, role) - obj_map.setObjectCN(i, self.sbml_id_map[col[5:]] - .getInitialConcentrationReference().getCN().getString()) - - else: - role = COPASI.CExperiment.ignore - obj_map.setRole(i, role) - - def get_fit_parameters(self): - """ Returns all fit items specified as a list of dictionaries of the form - - [ { 'name': 'km', 'start': 0.1, 'lower': 1e-6, 'upper': 1e6, 'reaction_id': 'r1' } ... ] - - :return: list of dictionaries with fit items - :rtype: [{}] - """ - result = [] - for i in range(self.problem.getOptItemSize()): - p = self.problem.getOptItem(i) - assert (isinstance(p, COPASI.COptItem)) - obj = self.dm.getObject(p.getObjectCN()) - if obj is None: - continue - name = obj.getObjectName() if obj.getObjectType( - ) != "Reference" else obj.getObjectParent().getObjectName() - - r = obj.getObjectAncestor('Reaction') - reaction_id = r.getSBMLId() if r else None - - result.append({ - 'name': name, - 'start': p.getStartValue(), - 'lower': p.getLowerBoundValue(), - 'upper': p.getUpperBoundValue(), - 'reaction_id': reaction_id - }) - return result - - def set_fit_parameters(self, fit_parameters): - """Replaces all fit items with the ones specified - - :param fit_parameters: list of dictionaries of the same form as returned by get_fit_parameters - :return: None - """ - assert (isinstance(self.problem, COPASI.CFitProblem)) - assert (isinstance(self.task, COPASI.CFitTask)) - assert (isinstance(self.dm, COPASI.CDataModel)) - - for i in range(self.problem.getOptItemSize()): - self.problem.removeOptItem(0) - - for item in fit_parameters: - if 'name' not in item: - continue - - cn = self._get_cn_for_item(item) - if cn is None: - continue - - fit_item = self.problem.addFitItem(cn) - assert (isinstance(fit_item, COPASI.CFitItem)) - if 'lower' in item: - fit_item.setLowerBound(COPASI.CCommonName(str(item['lower']))) - if 'upper' in item: - fit_item.setUpperBound(COPASI.CCommonName(str(item['upper']))) - if 'start' in item: - fit_item.setStartValue(float(item['start'])) - - def _get_result(self): - """Utility function adding a value column to the fit items - - :return: pandas dataframe with the result of the fit - :rtype: pandas.DataFrame - """ - fit_items = self.get_fit_parameters() - new_values = [val for val in self.problem.getSolutionVariables()] - sd_values = [val for val in self.problem.getVariableStdDeviations()] - if len(fit_items) != len(new_values): - logging.error('No results available yet, run `optimize` first.') - return None - - for i, vals in enumerate(fit_items): - vals['value'] = new_values[i] - vals['std_deviation'] = sd_values[i] - - df = pd.DataFrame(data=fit_items).set_index('name') - return df - - def optimize(self, update_model=False): - """ Carries out the Parameter estimation - - :param update_model: optional argument, indicating whether to - update the model, so another optimization run would start - with the solution found from the first run. - - :return: Pandas DataFrame with the results - - """ - # run optimization - self.task.setUpdateModel(update_model) - if not self.task.initializeRaw(COPASI.CCopasiTask.OUTPUT_UI): - log.error(COPASI.CCopasiMessage.getFirstMessage().getAllMessageText()) - if not self.task.processRaw(True): - log.error(COPASI.CCopasiMessage.getFirstMessage().getAllMessageText()) - self.task.restore() - - return self._get_result() - - def write(self): - """Writes the estimated parameters to a copy of the EnzymeMLDocument""" - - nu_enzmldoc = self.enzmldoc.copy(deep=True) - - assert (isinstance(self.problem, COPASI.CFitProblem)) - results = self.problem.getSolutionVariables() - if self.problem.getOptItemSize() != results.size(): - log.error('The optimization was not run yet, no update can be made') - return nu_enzmldoc - - log.debug('OBJ: {0}'.format(self.problem.getSolutionValue())) - log.debug('RMS: {0}'.format(self.problem.getRMS())) - - for i in range(self.problem.getOptItemSize()): - item = self.problem.getOptItem(i) - obj = self.dm.getObject(item.getObjectCN()) - if obj is None: - continue - - name = obj.getObjectName() if obj.getObjectType( - ) != 'Reference' else obj.getObjectParent().getObjectName() - - value = results.get(i) - - reaction = obj.getObjectAncestor('Reaction') - if reaction is not None: - enz_reaction = nu_enzmldoc.getReaction(reaction.getSBMLId()) - if enz_reaction: - parameter = enz_reaction.model.getParameter(name) - parameter.value = value - else: - p = nu_enzmldoc.global_parameters.get(name) - p.value = value - - return nu_enzmldoc - - def _set_default_items(self): - """ Initializes fit items from the local parameters specified in the reaction_data - - :return: None - """ - for reaction_id, data in self.reaction_data.items(): - r = self.sbml_id_map[reaction_id] - assert (isinstance(r, COPASI.CReaction)) - for p in self.reaction_data[reaction_id][0].parameters: - obj = r.getParameterObjects(p.name)[0].getObject( - COPASI.CCommonName('Reference=Value')) - cn = obj.getCN() - fit_item = self.problem.addFitItem(cn) - assert (isinstance(fit_item, COPASI.CFitItem)) - fit_item.setLowerBound(COPASI.CCommonName(str(1e-6))) - fit_item.setUpperBound(COPASI.CCommonName(str(1e6))) - fit_item.setStartValue(float(p.value)) - - def _set_default_items_from_init_file(self): - """ Use this to create a default template, when an init file was passed to the thin layer - and it has been already applied - - :return: None - """ - assert (isinstance(self.problem, COPASI.CFitProblem)) - - # remove old items - while self.problem.getOptItemSize() > 0: - self.problem.removeOptItem(0) - - for global_param in self.global_parameters.values(): - - if not global_param.lower or not global_param.upper: - # nan values used to indicate that this should not be fitted - continue - - mv = self.dm.getModel().getModelValue(global_param.name) - if not mv: - log.warning( - "No global parameter {0} in the model".format(global_param.name)) - continue - - value = global_param.value if global_param.value else global_param.initial_value - - if not value: - raise ValueError( - f"Neither initial_value nor value given for parameter {global_param.name} in global parameters" - ) - - cn = mv.getInitialValueReference().getCN() - fit_item = self.problem.addFitItem(cn) - assert (isinstance(fit_item, COPASI.CFitItem)) - fit_item.setLowerBound(COPASI.CCommonName(str(global_param.lower))) - fit_item.setUpperBound(COPASI.CCommonName(str(global_param.upper))) - fit_item.setStartValue(float(value)) - - for reaction_id, (model, _) in self.reaction_data.items(): - r = self.sbml_id_map[reaction_id] - assert (isinstance(r, COPASI.CReaction)) - for p in model.parameters: - if p.is_global: - continue - - if not p.lower or not p.upper: - # nan values used to indicate that this should not be fitted - continue - - value = p.value if p.value else p.initial_value - - if not value: - raise ValueError( - f"Neither initial_value nor value given for parameter {p.name} in reaction {reaction_id}" - ) - - obj = r.getParameterObjects(p.name)[0].getObject( - COPASI.CCommonName('Reference=Value')) - cn = obj.getCN() - fit_item = self.problem.addFitItem(cn) - assert (isinstance(fit_item, COPASI.CFitItem)) - fit_item.setLowerBound(COPASI.CCommonName(str(p.lower))) - fit_item.setUpperBound(COPASI.CCommonName(str(p.upper))) - fit_item.setStartValue(float(value)) - - -if __name__ == '__main__': - this_dir = os.path.dirname(__file__) - filename = os.path.join(this_dir + "/../../", - "examples/ThinLayers/COPASI/3IZNOK_Simulated.omex") - assert os.path.exists(filename) - - thin_layer = ThinLayerCopasi( - path=filename, - outdir='./out' - ) - - thin_layer.optimize() - thin_layer.write() diff --git a/pyenzyme/thinlayers/TL_Pysces.py b/pyenzyme/thinlayers/TL_Pysces.py deleted file mode 100644 index c6cd34ef..00000000 --- a/pyenzyme/thinlayers/TL_Pysces.py +++ /dev/null @@ -1,375 +0,0 @@ -# File: TL_Pysces.py -# Project: ThinLayers -# Author: Johann Rohwer (j.m.rohwer@gmail.com) -# License: BSD-2 clause -# Copyright (c) 2022 Stellenbosch University - -import numpy as np -import pandas as pd -from matplotlib import pyplot as plt -import os -import math - -from typing import Union, Optional -from pyenzyme.thinlayers.TL_Base import BaseThinLayer -from pyenzyme.enzymeml.core.exceptions import SpeciesNotFoundError - -import io -from contextlib import redirect_stdout - -_PYSCES_IMPORT_ERROR = None -_PYSCES_IMPORT_STREAM = io.StringIO() -try: - with redirect_stdout(_PYSCES_IMPORT_STREAM): - import pysces - import lmfit -except ModuleNotFoundError as e: - _PYSCES_IMPORT_ERROR = """ - ThinLayerPysces is not available. - To use it, please install the following dependencies: - {} - """.format( - e - ) - - -class ThinLayerPysces(BaseThinLayer): - def __init__( - self, - path, - model_dir: str, - measurement_ids: Union[str, list] = "all", - init_file: Optional[str] = None, - ): - # first time a pysces thinlayer is created, print the import messages - global _PYSCES_IMPORT_STREAM - if _PYSCES_IMPORT_STREAM is not None: - print(_PYSCES_IMPORT_STREAM.getvalue()) - _PYSCES_IMPORT_STREAM = None - - # check dependencies - if _PYSCES_IMPORT_ERROR: - raise RuntimeError(_PYSCES_IMPORT_ERROR) - - super().__init__(path, measurement_ids, init_file) - - # Convert model to PSC and get experimental data - self._get_pysces_model(model_dir) - self._get_experimental_data() - - # ! Interface - def optimize(self, method="leastsq"): - """Performs optimization of the given parameters - - Args: - method (str): lmfit optimization algorithm, see https://lmfit.github.io/lmfit-py/fitting.html#choosing-different-fitting-methods - """ - - # Initialize the model parameters - parameters = self._initialize_parameters() - - # Perform optimization - self.minimizer = lmfit.Minimizer(self._calculate_residual, parameters) - - # Set estimated parameters to self - self.parameters = parameters - - return self.minimizer.minimize(method=method) - - def write(self): - """Writes the estimated parameters to a copy of the EnzymeMLDocument""" - - nu_enzmldoc = self.enzmldoc.copy(deep=True) - results = self.minimizer.result.params.valuesdict() - - for name, value in results.items(): - # names contain information about reaction and parameter - # Pattern: rX_name - - splitted = name.split("_") - reaction_id = splitted[0] - parameter_id = "_".join(splitted[1::]) - - # Fetch reaction and parameter - try: - reaction = nu_enzmldoc.getReaction(reaction_id) - except SpeciesNotFoundError: - global_param = nu_enzmldoc.global_parameters.get(name) - global_param.value = value - continue - - if reaction.model: - parameter = reaction.model.getParameter(parameter_id) - parameter.value = value - else: - raise TypeError(f"Reaction {reaction_id} has no model to add values to") - - return nu_enzmldoc - - # ! Helper methods - def _initialize_parameters(self): - """Adds all parameters to an lmfit Parameters instance. - - Raises: - ValueError: Raised when parameter posesses neither an initial value or value attribute - """ - - # Initialize lmfit parameters - parameters = lmfit.Parameters() - - # Add global parameters - for global_param in self.global_parameters.values(): - - # need to also catch zero initial values - if global_param.value is not None: - parameters.add( - f"{global_param.name}", - global_param.value, - vary=not global_param.constant, - min=global_param.lower, - max=global_param.upper, - ) - - elif global_param.initial_value is not None: - parameters.add( - f"{global_param.name}", - global_param.initial_value, - vary=not global_param.constant, - min=global_param.lower, - max=global_param.upper, - ) - - else: # parameter is - raise ValueError( - f"Neither initial_value nor value given for parameter {global_param.name} in global parameters" - ) - - # Consistency check - for reaction_id, (model, _) in self.reaction_data.items(): - - # Apply parameters to lmfit parameters - for parameter in model.parameters: - - if parameter.is_global: - continue - - # need to also catch zero initial values - if parameter.value is not None: - parameters.add( - f"{reaction_id}_{parameter.name}", - parameter.value, - vary=not parameter.constant, - min=parameter.lower, - max=parameter.upper, - ) - elif parameter.initial_value is not None: - parameters.add( - f"{reaction_id}_{parameter.name}", - parameter.initial_value, - vary=not parameter.constant, - min=parameter.lower, - max=parameter.upper, - ) - else: # parameter is - raise ValueError( - f"Neither initial_value nor value given for parameter {parameter.name} in reaction {reaction_id}" - ) - - return parameters - - def _get_experimental_data(self): - """Extract measurement data from the EnzymeML document""" - - # Initialize data structure to store experimental data - raw_data, self.inits = [], [] - - for measurement_data in self.data.values(): - - # Gather data - data: pd.DataFrame = measurement_data["data"] - init_concs: dict = measurement_data["initConc"] - - # Collect raw_data - raw_data.append(data.drop("time", axis=1)) - - # Collect initial concentrations for simulation - init_mapping = { - "time": data.time, - **{species_id: value for species_id, (value, _) in init_concs.items()}, - } - - self.inits.append(init_mapping) - - # Concatenate and clean all DataFrames - self.experimental_data = pd.concat(raw_data) - self.experimental_data.reset_index(drop=True, inplace=True) - self.cols = list(self.experimental_data.columns) - - def _get_pysces_model(self, model_dir: str): - """Converts an EnzymeMLDocument to a PySCeS model.""" - - # Set up the PySCeS directory structure - model_dir = os.path.join(model_dir) - os.makedirs(model_dir, exist_ok=True) - - # Write the raw XMLString to the dir - sbmlfile_name = f"{self.enzmldoc.name.replace(' ', '_')}.xml" - sbmlfile_path = os.path.join(model_dir, sbmlfile_name) - with open(sbmlfile_path, "w") as file: - file.write(self.sbml_xml) - - # First, convert the EnzymeML model to a PySCeS model - pscfile_path = sbmlfile_path + ".psc" - if not ( - (os.path.exists(pscfile_path)) - and (os.path.getmtime(pscfile_path) > os.path.getmtime(self.filepath)) - ): - pysces.interface.convertSBML2PSC(sbmlfile_name, sbmldir=model_dir, pscdir=model_dir) - - # Finally, load the PSC model - self.model = pysces.model(sbmlfile_name, dir=model_dir) - - # work around https://github.com/PySCeS/pysces/issues/79 - if ( - self.model.__KeyWords__["Species_In_Conc"] - and self.model.__KeyWords__["Output_In_Conc"] - ): - for comp in self.model.__compartments__: - self.model.__compartments__[comp]["size"] = 1.0 - setattr(self.model, comp, 1.0) - setattr(self.model, f"{comp}_init", 1.0) - - def _calculate_residual(self, parameters) -> np.ndarray: - """Function that will be optimized""" - - simulated_data = self._simulate_experiment(parameters) - simulated_data = simulated_data.drop( - simulated_data.columns.difference(self.cols), axis=1 - ) - - return np.array(self.experimental_data - simulated_data) - - def _simulate_experiment(self, parameters): - """Performs simulation based on the PySCeS model""" - - self.model.SetQuiet() - self.model.__dict__.update(parameters.valuesdict()) - - # intialize collection - output = [] - - # Now iterate over all initial concentrations and simulate accordingly - for init_concs in self.inits: - for species_id, value in init_concs.items(): - - if type(value) in [float, int] and value == 0: - # Catch initial values with zero and set them ot a small number - value = 1.0e-9 - - if species_id in self.model.species: - # Add if given in the model - setattr(self.model, f"{species_id}_init", value) - elif species_id == "time": - # Add time to the model - time_values, num_reps = self._get_replicate_info(value) - self.model.sim_time = time_values - else: - setattr(self.model, species_id, value) - - # Simulate the experiment and save results - self.model.Simulate(userinit=1) - for i in range(num_reps): - output.append( - [getattr(self.model.sim, species) for species in self.model.species] - ) - - return pd.DataFrame(np.hstack(output).T, columns=self.model.species) - - def _get_replicate_info(self, time): - i = 1 - # get index in time series where 2nd replicate starts - while i < len(time) and time[i] > time[i - 1]: - i += 1 - num_reps = len(time) // i - if num_reps > 1: - for k in range(1, num_reps): - assert np.allclose( - time[:i], time[k * i : k * i + i] - ), "Time points of replicates don't match!" - return (time[:i].values, num_reps) - - def plot_fit(self): - """Plots the simulation and data for the fitted parameters.""" - - # check that optimization has been done - assert hasattr(self, "minimizer") and hasattr( - self.minimizer, "result" - ), "Please run optimize() first." - - measurements = list(self.data.keys()) - num = len(measurements) - numcols = 3 - numrows = math.ceil(num / numcols) - fig, ax = plt.subplots(nrows=numrows, ncols=numcols, figsize=(9, 2.8 * numrows)) - for i in range(num): - if num <= numcols: - theax = ax[i] - else: - theax = ax[i // numcols, i % numcols] - self._plot_measurement(measurements[i], i, ax=theax) - # remove empty axes - if num % numcols != 0: - empty = numcols - num % numcols - for i in range(-empty, 0): - if num <= numcols: - ax[i].set_visible(False) - else: - ax[num // numcols, i].set_visible(False) - fig.tight_layout() - - def _plot_measurement(self, meas_id, i=0, ax=None): - """Plots a single measurement with simulation.""" - time_unit = self.enzmldoc.measurement_dict[meas_id].global_time_unit - conc_unit = self.enzmldoc.reactant_dict[self.cols[0]].unit - if not ax: - fig, ax = plt.subplots() - sim = self._simulate_measurement(meas_id, self.minimizer.result.params, self.model) - sim.plot("Time", self.cols, ax=ax, legend=False) - if i == 0: - ax.figure.legend(loc='upper left', bbox_to_anchor=(1.0, 0.96)) - ax.set_prop_cycle(None) - self.data[meas_id]["data"].plot("time", self.cols, style="^", legend=False, ax=ax) - ax.set_title(meas_id) - ax.set_xlabel(f"Time ({time_unit})") - ax.set_ylabel(f"Concentration ({conc_unit})") - - def _simulate_measurement(self, meas_id, parameters, model): - """Performs simulation based on the PySCeS model""" - - data = self.data[meas_id]["data"] - model.SetQuiet() - model.__dict__.update(parameters.valuesdict()) - - # Now iterate over all initial concentrations and simulate accordingly - init_concs = self._map_inits(meas_id) - for species_id, value in init_concs.items(): - if species_id in model.species: - # Add if given in the model - setattr(model, f"{species_id}_init", value) - else: - setattr(model, species_id, value) - - # Simulate the experiment and save results - end_time = data.time.iloc[-1] - # simulate 200 points for smooth curve - model.doSim(end=end_time, points=200) - result = pd.DataFrame( - np.array([getattr(model.sim, species) for species in self.cols]).T, - columns=self.cols, - ) - result["Time"] = self.model.sim.Time - return result - - def _map_inits(self, meas_id): - init_concs = self.data[meas_id]["initConc"] - return {species_id: value for species_id, (value, _) in init_concs.items()} diff --git a/pyenzyme/thinlayers/TL_Strenda.py b/pyenzyme/thinlayers/TL_Strenda.py deleted file mode 100644 index 169fefaf..00000000 --- a/pyenzyme/thinlayers/TL_Strenda.py +++ /dev/null @@ -1,269 +0,0 @@ -# File: TL_Strenda.py -# Project: ThinLayers -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import xmltodict -import json -import itertools -import numpy as np - -from typing import Dict, List, Tuple, Optional - -from pyenzyme.enzymeml.core.enzymemldocument import EnzymeMLDocument -from pyenzyme.enzymeml.core.measurement import Measurement -from pyenzyme.enzymeml.core.reactant import Reactant -from pyenzyme.enzymeml.core.protein import Protein -from pyenzyme.enzymeml.core.enzymereaction import EnzymeReaction -from pyenzyme.enzymeml.core.vessel import Vessel -from pyenzyme.enzymeml.models.michaelismenten import MichaelisMentenKCat - - -class ThinLayerStrendaML(object): - - """Thin Layer implementation to convert an EnzymeML document into a StrendaML document.""" - - @classmethod - def toEnzymeML(cls, path: str, out_dir: str): - """Reads a STRENDA-DB XML entry and processes it to an EnzymeML document. - - Args: - path (str): Path to the STRENDA-DB XML file. - out_dir (str): Directory to which the resulting EnzymeML file will be written. - """ - - # Initialize Thin layer - cls = cls() - - # Read the STRENDA ML file - metadata = cls._read_strendaml(path) - cls.dataset = metadata["datasets"]["dataset"] - assay_conditions = cls.dataset["assayConditions"] - - # Initialize the ENzymeML document - cls.enzmldoc = EnzymeMLDocument( - name=metadata.get("strendaId"), - doi=metadata.get("doi"), - ) - - # Set up a playeholder vessel - vessel = Vessel(name="Vessel") - cls.vessel_id = cls.enzmldoc.addVessel(vessel) - - # Get the reaction first and build it while parsing species - cls._setup_reaction() - - # Get small compounds and build reaction - small_compounds = assay_conditions["smallCompound"] - init_conc, reactant_ref = cls._parse_small_compounds(small_compounds) - - # Get the protein - protein = metadata["protein"] - cls._parse_protein(protein) - - # Get the Michaelis-Menten-Model - cls._get_kinetic_model(reactant_ref) - - # Use the initial concentrations to construct measurement setups - cls._setup_measurements(init_conc) - - # Finally, add the reaction to the document - cls.enzmldoc.addReaction(cls.reaction) - - cls.enzmldoc.toFile(out_dir) - - def _read_strendaml(self, path: str): - """Reads and extracts the necessary data for the thin layer""" - - # Parse XML string and clean faulty line - xml_string = open(path).read() - xml_string = xml_string.replace( - '', '' - ) - - # Parse XML to JSON and dict - dict_data = xmltodict.parse(xml_string) - json_string = json.dumps(dict_data) - - return json.loads(json_string.replace("@", ""))["experiment"] - - def _setup_reaction(self): - """Sets up a reaction objectm which will later be used to specify the equation and adds it.""" - - # Get the assay conditions, if given - ph, _ = self._get_assay_conditions("pH", self.dataset) - temp_val, temp_unit = self._get_assay_conditions("temperature", self.dataset) - - self.reaction = EnzymeReaction( - name=self.dataset.get("name"), - reversible=False, - temperature=temp_val, - temperature_unit=temp_unit, - ph=ph, - ) - - def _get_assay_conditions( - self, key: str, dataset: dict - ) -> Tuple[Optional[float], Optional[str]]: - """Returns miscellaneous parameters from the 'value' element found in the assayConditions.""" - - for obj in dataset["assayConditions"]["value"]: - if obj["name"] == key: - return (obj.get("value"), obj.get("unit")) - - return None, None - - def _parse_small_compounds(self, small_compounds: List[dict]): - """Parses small compounds to Reactant objects""" - - # Keep track of range measurements and the references - initial_concentrations = [] - reactant_ref = {} - - # Keep a mapping for the different roles to be added to the reaction - role_mapping = { - "Substrate": self.reaction.addEduct, - "Product": self.reaction.addProduct, - } - - for small_compound in small_compounds: - - # Create Reactant and add it to the document - reactant_id = self.enzmldoc.addReactant( - Reactant( - name=small_compound.get("iupac"), - smiles=small_compound.get("smiles"), - inchi=small_compound.get("inchi"), - vessel_id=self.vessel_id, - ) - ) - - # Store substance ID - reactant_reference = small_compound["refId"] - reactant_ref[reactant_reference] = reactant_id - - # Add it to the reaction - role = small_compound["role"] - stoichiometry = float(small_compound["stoichiometry"]) - role_mapping[role]( - species_id=reactant_id, - stoichiometry=stoichiometry, - enzmldoc=self.enzmldoc, - ) - - init_conc = small_compound["value"] - unit = init_conc["unit"].replace("micro", "u") - - if init_conc["type"] == "Concentration": - value = float(init_conc["value"]) - initial_concentrations.append([(reactant_id, value, unit)]) - - elif init_conc["type"] == "ConcentrationRange": - start_value = float(init_conc["startValue"]) - end_value = float(init_conc["endValue"]) + 0.1 - val_range = np.linspace(start_value, end_value, 10) - - initial_concentrations.append( - [(reactant_id, round(val, 4), unit) for val in val_range if val > 0] - ) - - return initial_concentrations, reactant_ref - - def _parse_protein(self, protein: dict): - - # Get and clean some parameters - sequence = protein.get("originalSequence") - uniprotid = protein.get("uniprotidKbAC") - - if sequence == "null": - sequence = None - if uniprotid == "N.A.": - uniprotid = None - - self.protein_id = self.enzmldoc.addProtein( - Protein( - name=protein.get("name"), - vessel_id="v0", - organism=protein.get("organism"), - sequence=sequence, - organism_tax_id=protein.get("texonId"), - uniprotid=uniprotid, - ) - ) - - self.reaction.addModifier( - species_id=self.protein_id, - stoichiometry=1.0, - constant=True, - enzmldoc=self.enzmldoc, - ) - - def _setup_measurements(self, init_conc: List[Tuple[str, float, str]]): - """Sets up individual measurements by permuting given initial concentrations, if multiples of""" - - # Permute all initial concentrations - for index, init_conc_set in enumerate(itertools.product(*init_conc)): - - # Initialize measurement - measurement = Measurement(name=f"measurement_{index+1}") - - # Add protein to measurement - protein_conc, protein_unit = self._get_assay_conditions( - "enzymeConcentration", self.dataset - ) - - measurement.addData( - protein_id="p0", - init_conc=protein_conc, - unit=protein_unit.replace("micro", "u"), - ) - - for species_id, value, unit in init_conc_set: - - species = self.enzmldoc.getAny(species_id) - reactant_id, protein_id = None, None - - if isinstance(species, Protein): - protein_id = species_id - elif isinstance(species, Reactant): - reactant_id = species_id - - # Add the data to the measurement - measurement.addData( - unit=unit, - init_conc=value, - reactant_id=reactant_id, - protein_id=protein_id, - ) - - # Finally, add the measurement to the document - self.enzmldoc.addMeasurement(measurement) - - def _get_kinetic_model(self, reactant_ref: Dict[str, str]): - """Extracts the kinetic model from the dataset""" - - # Get parameters and species ID from data structure - result_set = self.dataset["resultSet"]["kineticParameter"] - species_id = reactant_ref[result_set.get("substanceId")] - parameters = result_set["value"] - - for parameter in parameters: - if parameter["name"] == "kcat": - kcat = {"unit": "1 / s", "value": float(parameter["value"])} - elif parameter["name"] == "km": - km = { - "unit": parameter["unit"].replace("micro", "u"), - "value": float(parameter["value"]), - } - - # Create the model and add it to the reaction - model = MichaelisMentenKCat( - substrate=species_id, - protein="p0", - enzmldoc=self.enzmldoc, - k_m=km, - k_cat=kcat, - ) - - self.reaction.setModel(model, self.enzmldoc) diff --git a/pyenzyme/thinlayers/__init__.py b/pyenzyme/thinlayers/__init__.py deleted file mode 100644 index 933eda10..00000000 --- a/pyenzyme/thinlayers/__init__.py +++ /dev/null @@ -1,10 +0,0 @@ -# File: __init__.py -# Project: thinlayers -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -from .TL_Base import BaseThinLayer -from .TL_Strenda import ThinLayerStrendaML -from .TL_Pysces import ThinLayerPysces -from .TL_Copasi import ThinLayerCopasi diff --git a/pyenzyme/utils/__init__.py b/pyenzyme/utils/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/pyenzyme/utils/log.py b/pyenzyme/utils/log.py deleted file mode 100644 index 4b35d014..00000000 --- a/pyenzyme/utils/log.py +++ /dev/null @@ -1,73 +0,0 @@ -# File: log.py -# Project: utils -# Author: Jan Range -# License: BSD-2 clause -# Copyright (c) 2022 Institute of Biochemistry and Technical Biochemistry Stuttgart - -import logging -import sys - -from io import StringIO - - -def setup_custom_logger(name, log_stream: StringIO, level=logging.DEBUG): - - formatter = logging.Formatter(fmt="%(levelname)s - %(message)s") - - handler = logging.StreamHandler(stream=sys.stderr) - handler.setFormatter(formatter) - handler.setLevel(logging.INFO) - - string_formatter = logging.Formatter( - fmt="%(asctime)s - %(message)s", datefmt="%Y-%m-%d,%H:%M" - ) - string_handler = logging.StreamHandler(log_stream) - string_handler.setFormatter(string_formatter) - string_handler.setLevel(logging.NOTSET) - - logger = logging.getLogger(name) - logger.setLevel(level) - logger.propagate = False - logger.addHandler(handler) - logger.addHandler(string_handler) - - return logger - - -def log_change( - logger: logging.Logger, - class_name: str, - id: str, - name: str, - old_value: str, - new_value: str, -): - """Logs change of an object""" - logger.debug( - f"{class_name} '{id}' - {name} was set from '{old_value}' to '{new_value}'" - ) - - -def log_new( - logger: logging.Logger, class_name: str, id: str, name: str, new_value: str -): - """Logs initialization of an object""" - - logger.debug(f"{class_name} '{id}' - '{name}' was set to '{new_value}'") - - -def log_object( - logger: logging.Logger, - obj, -): - """Logs an object when it is added to the EnzymeML document""" - - # Handle objects without an ID - try: - id = obj.id - except AttributeError: - id = obj.get_id() - - for attr_name, value in obj.dict(exclude_none=True).items(): - if isinstance(value, dict) is False and isinstance(value, list) is False: - log_new(logger, type(obj).__name__, id, attr_name, value) diff --git a/pyenzyme/utils/rest_examples.py b/pyenzyme/utils/rest_examples.py deleted file mode 100644 index 4bea61fd..00000000 --- a/pyenzyme/utils/rest_examples.py +++ /dev/null @@ -1,174 +0,0 @@ -def create_full_example(): - return { - "name": "Example Document", - "pubmedid": "00000000", - "url": "https://www.some-url.com/", - "doi": "10.1XXX/XXXXXX-XXX-XXXX-X", - "creators": { - "a0": { - "given_name": "Max", - "family_name": "Mustermann", - "mail": "max.mustermann@mustermann.com", - } - }, - "vessels": { - "v0": { - "name": "Tube vessel", - "volume": 0.015, - "unit": "l", - "constant": True, - } - }, - "proteins": { - "p0": { - "name": "Protein", - "vessel_id": "v0", - "init_conc": 5.0, - "constant": True, - "unit": "mmole / l", - "ontology": "SBO:0000252", - "sequence": "HLPMV", - "ecnumber": "1.1.1.1", - "organism": "E.coli", - "organism_tax_id": "27367", - "uniprotid": "P02357", - } - }, - "complexes": { - "c0": { - "name": "Complex", - "vessel_id": "v0", - "init_conc": 10.0, - "constant": False, - "unit": "mmole / l", - "ontology": "SBO:0000296", - "participants": ["s0", "p0"], - } - }, - "reactants": { - "s0": { - "name": "Reactant", - "vessel_id": "v0", - "init_conc": 10.0, - "constant": False, - "unit": "mmole / l", - "ontology": "SBO:0000247", - "smiles": "[H]O[H]", - "inchi": "InChI:HJJH", - "chebi_id": "CHEBI:09823", - }, - "s1": { - "name": "oxonium", - "vessel_id": "v0", - "init_conc": 10.0, - "constant": False, - "unit": "mmole / l", - "ontology": "SBO:0000247", - "smiles": "[H][O+]([H])[H]", - "inchi": "InChI=1S/H2O/h1H2/p+1", - "chebi_id": "CHEBI:29412", - }, - }, - "reactions": { - "r0": { - "name": "string", - "reversible": True, - "temperature": 200, - "temperature_unit": "K", - "ph": 7.0, - "ontology": "SBO:0000176", - "id": "r0", - "meta_id": "METAID_R0", - "model": { - "name": "Kinetic Model", - "equation": "s0 * x", - "parameters": [ - { - "name": "x", - "value": 10.0, - "unit": "1 / s", - "stdev": 0.1, - "initial_value": 10.0, - } - ], - }, - "educts": [ - { - "species_id": "s0", - "stoichiometry": 1.0, - "constant": False, - "ontology": "SBO:0000015", - } - ], - "products": [ - { - "species_id": "s1", - "stoichiometry": 1.0, - "constant": False, - "ontology": "SBO:0000011", - } - ], - "modifiers": [ - { - "species_id": "p0", - "stoichiometry": 1.0, - "constant": True, - "ontology": "SBO:0000013", - } - ], - } - }, - "measurements": { - "m0": { - "name": "SomeMeasurement", - "temperature": 4.0, - "temperature_unit": "K", - "ph": 7.0, - "species_dict": { - "reactants": { - "s0": { - "init_conc": 10.0, - "unit": "mmole / l", - "measurement_id": "m0", - "reactant_id": "s0", - "replicates": [ - { - "id": "repl_s0_0", - "species_id": "s0", - "data_type": "conc", - "data_unit": "mmole / l", - "time_unit": "s", - "time": [1.0, 2.0, 3.0, 4.0], - "data": [1.0, 1.0, 1.0, 1.0], - "is_calculated": False, - } - ], - } - }, - "proteins": { - "p0": { - "init_conc": 10.0, - "unit": "mmole / l", - "measurement_id": "m0", - "protein_id": "p0", - "replicates": [ - { - "id": "repl_p0_0", - "species_id": "p0", - "data_type": "conc", - "data_unit": "mmole / l", - "time_unit": "s", - "time": [1.0, 2.0, 3.0, 4.0], - "data": [1.0, 1.0, 1.0, 1.0], - "is_calculated": False, - } - ], - } - }, - }, - "global_time": [1.0, 2.0, 3.0, 4.0], - "global_time_unit": "s", - "id": "m0", - } - }, - } diff --git a/pyenzyme_server.py b/pyenzyme_server.py deleted file mode 100644 index 6a7d92f7..00000000 --- a/pyenzyme_server.py +++ /dev/null @@ -1,405 +0,0 @@ -import os - -from fastapi import FastAPI, UploadFile, File, Request, Body -from starlette.responses import FileResponse, JSONResponse, HTMLResponse -from starlette.background import BackgroundTasks -from fastapi.templating import Jinja2Templates - -from pyenzyme.enzymeml.core.enzymemldocument import EnzymeMLDocument -from pyenzyme.enzymeml.core.measurement import Measurement -from pyenzyme.enzymeml.tools.validator import EnzymeMLValidator -from pyenzyme.utils.rest_examples import create_full_example -from pyenzyme.enzymeml.core.exceptions import ( - MeasurementDataSpeciesIdentifierError, - ECNumberError, - ChEBIIdentifierError, - DataError, - SpeciesNotFoundError, - UniProtIdentifierError, - ParticipantIdentifierError, -) - - -# * Settings -app = FastAPI(title="PyEnzyme REST-API", version="1.2", docs_url="/") - - -templates = Jinja2Templates(directory="static") - - -# * Functions - - -def remove_file(path: str) -> None: - os.unlink(path) - - -# ! Basic operations - - -@app.post( - "/create", - summary="Creates an EnzymeML document based on a JSON body", - description="Please note, in the schema 'aditionalPropsX' represent the individual IDs of the entities. However, these will not be included, since PyEnzyme takes car for that. Thus, feel free to use any string you like. Returns a binary file, which is an OMEX archive", - tags=["Basic operations"], -) -async def create_EnzymeML( - background_tasks: BackgroundTasks, - enzmldoc: EnzymeMLDocument = Body(..., example=create_full_example()), -): - - # Recreate the EnzymeML document - nu_enzmldoc = EnzymeMLDocument.fromJSON(enzmldoc.json()) - - # Write the new EnzymeML file - dirpath = "." - file_name = f"{nu_enzmldoc.name.replace(' ', '_')}.omex" - file_path = os.path.join(dirpath, file_name) - - nu_enzmldoc.toFile(dirpath, name=nu_enzmldoc.name) - - try: - response = FileResponse(file_path, filename=file_name) - - return response - - except Exception as e: - raise - - finally: - background_tasks.add_task(remove_file, path=file_name) - - -def parse_measurement_data(measurement, key, nu_measurement, enzmldoc): - for measurement_data in measurement.species_dict[key].values(): - nu_measurement.addData( - init_conc=measurement_data.init_conc, - unit=measurement_data.unit, - protein_id=measurement_data.protein_id, - reactant_id=measurement_data.reactant_id, - ) - - nu_measurement.addReplicates(measurement_data.replicates, enzmldoc=enzmldoc) - - -@app.post( - "/upload/dataverse", - summary="Uploads an OMEX archive to a dataverse installation.", - description="Use this endpoint as form-data and specify the document to be uploaded via the key 'omex_archive' for a succesfull upload.", - tags=["Databases"], -) -async def upload_to_dataverse( - background_tasks: BackgroundTasks, - dataverse_name: str, - api_token: str, - base_url: str, - omex_archive: UploadFile = File(...), -): - - # Write to file - file_name = omex_archive.filename - content = await omex_archive.read() - with open(file_name, "wb") as file_handle: - file_handle.write(content) - - # Read EnzymeML document - try: - enzmldoc = EnzymeMLDocument.fromFile(file_name) - enzmldoc.uploadToDataverse( - dataverse_name=dataverse_name, base_url=base_url, api_token=api_token - ) - except Exception as e: - return f"{e.__class__.__name__}: {str(e)}" - finally: - background_tasks.add_task(remove_file, path=file_name) - - -@app.post( - "/read", - summary="Reads an EnzymeML document served in an OMEX archive to a JSON representation", - description="Use this endpoint as form-data and specify the document to be uploaded via the key 'omex_archive' for a succesfull request.", - tags=["Basic operations"], -) -async def read_enzymeml( - background_tasks: BackgroundTasks, omex_archive: UploadFile = File(...) -): - - # Write to file - file_name = omex_archive.filename - content = await omex_archive.read() - with open(file_name, "wb") as file_handle: - file_handle.write(content) - - # Read EnzymeML document - try: - enzmldoc = EnzymeMLDocument.fromFile(file_name) - return enzmldoc.dict( - exclude_none=True, - exclude={ - "log": ..., - "unit_dict": ..., - "file_dict": ..., - "protein_dict": {"Protein": {"__all__": {"_unit_id"}}}, - }, - by_alias=True, - ) - except Exception as e: - return f"{e.__class__.__name__}: {str(e)}" - finally: - background_tasks.add_task(remove_file, path=file_name) - - -# ! Modifications - - -@app.post( - "/add_measurement", - summary="Adds a measurement to an existing EnzymeML document", - description="By using this endpoint, you can add successive raw data without having to create a new EnzymeML dcoument. Returns a binary file, which is an OMEX Archive", - tags=["Modifications"], -) -async def add_Measurement( - background_tasks: BackgroundTasks, - measurement: Measurement, - omex_archive: UploadFile = File(...), -): - - # Check if the species_dict keys are correct - for key in measurement.species_dict: - if key not in ["reactants", "proteins"]: - return { - "error": f"Key '{key}' is not valid for species dict. Please use either 'reactants' or 'proteins'" - } - - # Write to file - file_name = omex_archive.filename - content = await omex_archive.read() - with open(file_name, "wb") as file_handle: - file_handle.write(content) - - # Read EnzymeML document - enzmldoc = EnzymeMLDocument.fromFile(file_name) - - # Add the measurement - enzmldoc.addMeasurement(measurement) - - # Write the new EnzymeML file - try: - dirpath = "." - file_name = f"{enzmldoc.name.replace(' ', '_')}.omex" - file_path = os.path.join(dirpath, file_name) - - enzmldoc.toFile(dirpath) - - return FileResponse(file_path, filename=file_name) - - except Exception as e: - return str(e) - - finally: - background_tasks.add_task(remove_file, path=file_name) - - -# ! TEMPLATE - - -@app.get( - "/template/download", - summary="Download the EnzymeML spreadsheet template.", - tags=["EnzymeML spreadsheet"], -) -async def get_enzymeml_template(): - return FileResponse( - "./templates/EnzymeML_Template.xlsm", filename="EnzymeML_Template.xlsm" - ) - - -@app.get( - "/template/upload", - summary="HTML website to upload the EnzymeML spreadsheet template and convert it to EnzymeML.", - tags=["EnzymeML spreadsheet"], - response_class=HTMLResponse, -) -def upload_enzymeml_template(request: Request): - return templates.TemplateResponse("template_upload.html", {"request": request}) - - -@app.post( - "/template/convert", - summary="Converts an EnzymeML spreadsheet template to an EnzymeML document.", - tags=["EnzymeML spreadsheet"], -) -async def convert_template( - background_tasks: BackgroundTasks, enzymeml_template: UploadFile = File(...) -): - - # Write to file - file_name = enzymeml_template.filename - content = await enzymeml_template.read() - with open(file_name, "wb") as file_handle: - file_handle.write(content) - - # Generate the new EnzymeML file - try: - enzmldoc = EnzymeMLDocument.fromTemplate(file_name) - - except Exception as e: - return str(e) - - finally: - background_tasks.add_task(remove_file, path=file_name) - - # Write the new EnzymeML file - try: - dirpath = "." - enzml_name = f"{enzmldoc.name.replace(' ', '_')}.omex" - file_path = os.path.join(dirpath, enzml_name) - - enzmldoc.toFile(dirpath) - - return FileResponse(file_path, filename=enzml_name) - - except Exception as e: - return str(e) - - finally: - background_tasks.add_task(remove_file, path=enzml_name) - - -# ! Validation - - -@app.get( - "/validation/download", - summary="Download the EnzymeML Validation template.", - tags=["EnzymeML Validation"], -) -async def get_validation_template(): - return FileResponse( - "templates/EnzymeML_Validation_Template.xlsx", - filename="EnzymeML_Validation_Template.xlsm", - ) - - -@app.get( - "/validation/upload", - summary="HTML site to upload the EnzymeML Validation template and convert it to a YAML file.", - tags=["EnzymeML Validation"], - response_class=HTMLResponse, -) -def upload_validation_template(request: Request): - return templates.TemplateResponse("validation_upload.html", {"request": request}) - - -@app.post( - "/validation/convert", - summary="Convert the EnzymeML Validation template to a YAML template to use for validation on server site.", - tags=["EnzymeML Validation"], -) -async def convert_validation_template( - background_tasks: BackgroundTasks, validation_template: UploadFile = File(...) -): - - # Write to file - file_name = validation_template.filename - content = await validation_template.read() - with open(file_name, "wb") as file_handle: - file_handle.write(content) - - # Generate the new EnzymeML file - try: - EnzymeMLValidator.convertSheetToYAML( - path=file_name, - filename="validation", - ) - - return FileResponse( - "validation.yaml", filename="EnzymeML_Validation_Template.yaml" - ) - - except Exception as e: - return str(e) - - finally: - background_tasks.add_task(remove_file, path=file_name) - background_tasks.add_task(remove_file, path="validation.yaml") - - -@app.post( - "/validation/", - summary="Vaidates an EnzymeML document based on a given EnzymeML Validation YAML file. Returns a boolean and a report, if validation has failed.", - tags=["EnzymeML Validation"], -) -async def validate_enzymeml( - background_tasks: BackgroundTasks, - omex_archive: UploadFile = File(...), - validation_template: UploadFile = File(...), -): - - # Write EnzymeML to file - omex_name = omex_archive.filename - content = await omex_archive.read() - with open(omex_name, "wb") as file_handle: - file_handle.write(content) - - # Read EnzymeML document - try: - enzmldoc = EnzymeMLDocument.fromFile(omex_name) - except Exception as e: - return f"{e.__class__.__name__}: {str(e)}" - finally: - background_tasks.add_task(remove_file, path=omex_name) - - # Write YAML to file - valid_name = validation_template.filename - content = await validation_template.read() - with open(valid_name, "wb") as file_handle: - file_handle.write(content) - - # Read YAML and validate accordingly - try: - report, is_valid = enzmldoc.validateDocument(yaml_path=valid_name) - - return {"is_valid": is_valid, "report": report} - finally: - background_tasks.add_task(remove_file, path=valid_name) - - -# * Exception handlers - - -@app.exception_handler(MeasurementDataSpeciesIdentifierError) -async def handle_meas_species_id_error( - req: Request, exc: MeasurementDataSpeciesIdentifierError -): - return JSONResponse(status_code=406, content={"message": str(exc)}) - - -@app.exception_handler(ECNumberError) -async def handle_ecnumber_error(req: Request, exc: ECNumberError): - return JSONResponse(status_code=406, content={"message": str(exc)}) - - -@app.exception_handler(ChEBIIdentifierError) -async def handle_chebi_error(req: Request, exc: ChEBIIdentifierError): - return JSONResponse(status_code=406, content={"message": str(exc)}) - - -@app.exception_handler(DataError) -async def handle_data_error(req: Request, exc: DataError): - return JSONResponse(status_code=406, content={"message": str(exc)}) - - -@app.exception_handler(SpeciesNotFoundError) -async def handle_species_error(req: Request, exc: SpeciesNotFoundError): - return JSONResponse(status_code=406, content={"message": str(exc)}) - - -@app.exception_handler(UniProtIdentifierError) -async def handle_uniprotid_error(req: Request, exc: UniProtIdentifierError): - return JSONResponse(status_code=406, content={"message": str(exc)}) - - -@app.exception_handler(ParticipantIdentifierError) -async def handle_participant_error(req: Request, exc: ParticipantIdentifierError): - return JSONResponse(status_code=406, content={"message": str(exc)}) diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 98afcbdd..00000000 --- a/requirements.txt +++ /dev/null @@ -1,23 +0,0 @@ -python-libsbml -numpy -pandas -python-libcombine -scipy -texttable -pydataverse -pydantic==1.8.2 -deprecation -deepdiff -python-multipart -fastapi -uvicorn -easyDataverse -pyDaRUS -openpyxl -numexpr -seaborn -plotly -pysces -lmfit -xlsxwriter -jinja2 \ No newline at end of file diff --git a/setup.py b/setup.py deleted file mode 100644 index b72322a4..00000000 --- a/setup.py +++ /dev/null @@ -1,64 +0,0 @@ -""" -File: setup.py -Project: PyEnzyme -Author: Jan Range -License: BSD-2 clause ------ -Last Modified: Wednesday June 23rd 2021 9:57:56 pm -Modified By: Jan Range () ------ -Copyright (c) 2021 Institute of Biochemistry and Technical Biochemistry Stuttgart -""" - -import setuptools -from setuptools import setup - -setup( - name="PyEnzyme", - version="1.1.5", - description="Handling of EnzymeML files", - url="https://github.com/EnzymeML/PyEnzyme", - author="Range, Jan", - author_email="jan.range@simtech.uni-stuttgart.de", - license="BSD2 Clause", - packages=setuptools.find_packages(), - install_requires=[ - "python-libsbml", - "numpy", - "pandas", - "python-libcombine", - "scipy", - "texttable", - "pydantic==1.8.2", - "deprecation", - "deepdiff", - "python-multipart", - "openpyxl", - "xlsxwriter", - "numexpr", - "seaborn", - "plotly", - "pyyaml", - "deprecation", - "xmltodict", - "requests", - ], - extras_require={ - "test": ["pytest-cov"], - "copasi": ["python-copasi"], - "pysces": ["pysces", "lmfit"], - "rest": ["fastapi", "uvicorn"], - "modeling": ["python-copasi", "pysces", "lmfit"], - "dataverse": ["pyDaRUS", "easyDataverse", "pydataverse"], - "all": [ - "python-copasi", - "pysces", - "lmfit", - "fastapi", - "uvicorn", - "pyDaRUS", - "easyDataverse", - "pydataverse", - ], - }, -) diff --git a/tests/enzymeml/__init__.py b/tests/enzymeml/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/tests/enzymeml/core/__init__.py b/tests/enzymeml/core/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/tests/enzymeml/core/test_abstract_classes.py b/tests/enzymeml/core/test_abstract_classes.py deleted file mode 100644 index 3b6cec8f..00000000 --- a/tests/enzymeml/core/test_abstract_classes.py +++ /dev/null @@ -1,40 +0,0 @@ -from pyenzyme.enzymeml.core.abstract_classes import AbstractSpecies -from pyenzyme.enzymeml.core.ontology import SBOTerm - - -class TestAbstractSpecies: - - def test_content(self): - # Test consistency of inputs - abstract = AbstractSpecies( - name="SomeSpecies", vessel_id="v0", - init_conc=10.0, unit="mmole / l", constant=True, meta_id="undefined", - id="c0", boundary=True, ontology=SBOTerm.MACROMOLECULAR_COMPLEX, uri="URI", creator_id="a0" - ) - - assert abstract.name == "SomeSpecies" - assert abstract.vessel_id == "v0" - assert abstract.init_conc == 10.0 - assert abstract.unit == "mmole / l" - assert abstract.constant is True - assert abstract.meta_id == "METAID_C0" - assert abstract.id == "c0" - assert abstract.boundary is True - assert abstract.ontology == SBOTerm.MACROMOLECULAR_COMPLEX - assert abstract.uri == "URI" - assert abstract.creator_id == "a0" - - def test_defaults(self): - # Test if the defaults are the same - abstract = AbstractSpecies( - name="SomeSpecies", vessel_id="v0", constant=True, boundary=True, ontology=SBOTerm.MACROMOLECULAR_COMPLEX - ) - - assert not abstract.init_conc - assert not abstract.unit - assert abstract.constant is True - assert not abstract.meta_id - assert not abstract.id - assert abstract.boundary is True - assert abstract.ontology == SBOTerm.MACROMOLECULAR_COMPLEX - assert not abstract.uri diff --git a/tests/enzymeml/core/test_complex.py b/tests/enzymeml/core/test_complex.py deleted file mode 100644 index e078889e..00000000 --- a/tests/enzymeml/core/test_complex.py +++ /dev/null @@ -1,35 +0,0 @@ -import pytest - -from pyenzyme.enzymeml.core.complex import Complex -from pyenzyme.enzymeml.core.ontology import SBOTerm -from pyenzyme.enzymeml.core.exceptions import ParticipantIdentifierError - - -class TestComplex: - - def test_content(self): - # Test consistency of inputs - complex = Complex( - name="SomeComplex", participants=["s0", "p0"], vessel_id="v0", - init_conc=10.0, unit="mmole / l", constant=True, meta_id="undefined", - id="c0", boundary=True, ontology=SBOTerm.MACROMOLECULAR_COMPLEX, uri="URI", creator_id="a0" - ) - - assert complex.participants == ["s0", "p0"] - - def test_defaults(self): - # Test if the defaults are the same - complex = Complex( - name="SomeComplex", participants=["s0", "p0"], vessel_id="v0" - ) - - assert complex.constant is False - assert complex.boundary is False - assert complex.ontology == SBOTerm.MACROMOLECULAR_COMPLEX - - def test_validator_participants(self): - # Negative test case to see if false IDs are recognized - with pytest.raises(ParticipantIdentifierError) as exc_info: - Complex( - name="SomeComplex", participants=["x0", "1", "a", "&"], vessel_id="v0" - ) diff --git a/tests/enzymeml/core/test_creator.py b/tests/enzymeml/core/test_creator.py deleted file mode 100644 index bd7ae3d5..00000000 --- a/tests/enzymeml/core/test_creator.py +++ /dev/null @@ -1,31 +0,0 @@ -import pytest - -from pydantic import ValidationError -from pyenzyme.enzymeml.core.creator import Creator - - -class TestCreator: - - def test_content(self): - # Test positive case - creator = Creator( - given_name="Jan", family_name="Range", mail="jan@somemail.com", id=None - ) - - assert creator.given_name == "Jan" - assert creator.family_name == "Range" - assert creator.mail == "jan@somemail.com" - - def test_empty_strings(self): - # Test empty strings case - with pytest.raises(ValidationError) as exc_info: - Creator( - given_name="", family_name="", mail="", id=None - ) - - def test_wrong_mail(self): - # Test mail consistency - with pytest.raises(ValidationError) as exc_info: - Creator( - given_name="Jan", family_name="Range", mail="someone.com", id=None - ) diff --git a/tests/enzymeml/core/test_enzymemldocument.py b/tests/enzymeml/core/test_enzymemldocument.py deleted file mode 100644 index 44b7a6e4..00000000 --- a/tests/enzymeml/core/test_enzymemldocument.py +++ /dev/null @@ -1,286 +0,0 @@ -import os -import pytest - -from pyenzyme.enzymeml.core.enzymemldocument import EnzymeMLDocument -from pyenzyme.enzymeml.core.abstract_classes import AbstractSpecies -from pyenzyme.enzymeml.core.ontology import SBOTerm - - -class TestEnzymeMLDocument: - def test_content(self): - """Tests if content that is inserted is consistent""" - - # Create an instance - enzmldoc = EnzymeMLDocument( - name="Test", - level=3, - version=2, - pubmedid="91245", - url="http://www.example.com", - doi="10.1109/5.771073", - created="01-02-1991", - modified="01-02-1996", - ) - - assert enzmldoc.name == "Test" - assert enzmldoc.level == 3 - assert enzmldoc.version == 2 - assert enzmldoc.pubmedid == "https://identifiers.org/pubmed:91245" - assert enzmldoc.url == "http://www.example.com" - assert enzmldoc.doi == "10.1109/5.771073" - assert enzmldoc.created == "01-02-1991" - assert enzmldoc.modified == "01-02-1996" - assert not enzmldoc.creator_dict - assert not enzmldoc.vessel_dict - assert not enzmldoc.protein_dict - assert not enzmldoc.complex_dict - assert not enzmldoc.reactant_dict - assert not enzmldoc.reaction_dict - assert not enzmldoc._unit_dict - assert not enzmldoc.file_dict - assert not enzmldoc.global_parameters - - def test_defaults(self): - """Tests if all default values are correct""" - - # Create an instance - enzmldoc = EnzymeMLDocument(name="Test") - - assert enzmldoc.name == "Test" - assert enzmldoc.level == 3 - assert enzmldoc.version == 2 - assert not enzmldoc.pubmedid - assert not enzmldoc.url - assert not enzmldoc.doi - assert not enzmldoc.created - assert not enzmldoc.modified - assert not enzmldoc.creator_dict - assert not enzmldoc.vessel_dict - assert not enzmldoc.protein_dict - assert not enzmldoc.complex_dict - assert not enzmldoc.reactant_dict - assert not enzmldoc.reaction_dict - assert not enzmldoc._unit_dict - assert not enzmldoc.file_dict - assert not enzmldoc.global_parameters - - def test_from_file_init(self, enzmldoc): - """Tests initialization from file""" - - # Read the OMEX fixture - result = EnzymeMLDocument.fromFile("./tests/fixtures/test_case.omex") - - # Test if its JSON representation matches - assert result.dict(exclude={"log"}) == enzmldoc.dict(exclude={"log"}) - - def test_from_json_init(self): - """Tests initialization from a JSON string""" - - # Read the expected OMEX output - expected = EnzymeMLDocument.fromFile("./tests/fixtures/test_case.omex") - - # Read the JSON equivalent - result = EnzymeMLDocument.fromJSON( - open("./tests/fixtures/enzmldoc_object.json").read() - ) - - assert expected.dict(exclude={"log"}) == result.dict(exclude={"log"}) - - def test_to_file(self, enzmldoc): - """Tests writing to a file""" - - # Store the expection to later compare - expected = enzmldoc.dict(exclude={"log"}) - - # Write to a file and check existence - enzmldoc.toFile("./tests/", name="write_test") - assert os.path.exists("./tests/write_test.omex") - - # Read the resulting file and compare the content - result = EnzymeMLDocument.fromFile("./tests/write_test.omex") - assert result.dict(exclude={"log"}) == expected - - def test_add_global_params(self): - """Tests the addition of a global parameter""" - - # Initialize an object - enzmldoc = EnzymeMLDocument(name="Test") - - # Add a Parameter - enzmldoc.addGlobalParameter( - name="GlobalParam", - value=100.0, - initial_value=100.0, - unit="mmole / l", - constant=False, - lower=0.0, - upper=200.0, - stdev=0.001, - ) - - assert "GlobalParam" in enzmldoc.global_parameters - - # Get the parameter an check values - param = enzmldoc.global_parameters["GlobalParam"] - - assert param.name == "GlobalParam" - assert param.value == 100.0 - assert param.unit == "mmole / l" - assert param.constant is False - assert param.lower == 0.0 - assert param.upper == 200.0 - assert param.stdev == 0.001 - assert param.is_global is True - - def test_add_species(self): - """Tests the addition of a species""" - - # Initialize object - enzmldoc = EnzymeMLDocument(name="Test") - - # Use the abstract function and an abstract type to test - test_class = type("Species", (AbstractSpecies,), {"unit": "mmole / l"}) - species = test_class( - name="TestSpecies", - vessel_id="v0", - constant=True, - boundary=True, - ontology=SBOTerm.PROTEIN, - ) - - # Finally add the species - enzmldoc._addSpecies(species, prefix="p", dictionary=enzmldoc.protein_dict) - - assert "p0" in enzmldoc.protein_dict - assert species == enzmldoc.protein_dict["p0"] - - def test_unit_change(self, enzmldoc): - """Tests whether units remain consistent when changed at run-time and are reloaded""" - - # Change an arbitrary unit - species = enzmldoc.getReactant("s0") - species.unit = "umole / l" - - # Write to file - enzmldoc.toFile("./tests/tmp/", name="Test_Unit_Change") - - # Read file and check if the unit change is consistent - unit = enzmldoc.getReactant("s0").unit - - assert unit == "umole / l" - - def test_full_data_export(self, enzmldoc): - """Tests whether data is exported correctly""" - - # Test all export of reactant/protein - data = enzmldoc.exportMeasurementData() - - expected_conc = {"s0": (10.0, "mmole / l"), "p0": (10.0, "mmole / l")} - expected_data = { - "s0": {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0}, - "time": {0: 1.0, 1: 2.0, 2: 3.0, 3: 4.0}, - "p0": {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0}, - } - - assert "m0" in data - assert data["m0"]["data"].to_dict() == expected_data - assert data["m0"]["initConc"] == expected_conc - - # Test case of no specification - with pytest.raises(ValueError) as exc_info: - enzmldoc.exportMeasurementData(proteins=False, reactants=False) - - def test_protein_data_export(self, enzmldoc): - """Tests whether data is exported correctly""" - - # Test all export of reactant/protein - data = enzmldoc.exportMeasurementData(reactants=False) - - expected_conc = {"p0": (10.0, "mmole / l")} - expected_data = { - "time": {0: 1.0, 1: 2.0, 2: 3.0, 3: 4.0}, - "p0": {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0}, - } - - assert "m0" in data - assert data["m0"]["data"].to_dict() == expected_data - assert data["m0"]["initConc"] == expected_conc - - def test_reactant_data_export(self, enzmldoc): - """Tests whether data is exported correctly""" - - # Test all export of reactant/protein - data = enzmldoc.exportMeasurementData(proteins=False) - - expected_conc = {"s0": (10.0, "mmole / l")} - expected_data = { - "time": {0: 1.0, 1: 2.0, 2: 3.0, 3: 4.0}, - "s0": {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0}, - } - - assert "m0" in data - assert data["m0"]["data"].to_dict() == expected_data - assert data["m0"]["initConc"] == expected_conc - - def test_unit_attribute_change(self, enzmldoc): - """Tests whether unit changes in the 'unit' attribute are refelected towards unit dict and unit_id""" - - def check_consistency(unit, unit_id, kind): - # Helper function - assert ( - enzmldoc._unit_dict[unit_id].name == unit - ), f"Unit change for {kind} inconsistent" - - # Test unit change vessel - vessel = enzmldoc.getVessel("v0") - vessel.unit = "l" - - check_consistency("l", vessel._unit_id, "vessel") - - # Test unit change protein - protein = enzmldoc.getProtein("p0") - protein.unit = "mole / l" - - check_consistency("mole / l", protein._unit_id, "protein") - - # Test unit change reactant - reactant = enzmldoc.getReactant("s0") - reactant.unit = "mole / l" - - check_consistency("mole / l", reactant._unit_id, "reactant") - - # Test unit change measurement - measurement = enzmldoc.getMeasurement("m0") - measurement.temperature_unit = "K" - - check_consistency("K", measurement._temperature_unit_id, "measurement") - - # Test measurement data - meas_data = measurement.getReactants()["s0"] - meas_data.unit = "mole / l" - - check_consistency("mole / l", meas_data._unit_id, "measurement data") - - # Test Replicates - replicate = meas_data.replicates[0] - replicate.data_unit = "mole / l" - replicate.time_unit = "hours" - - check_consistency("mole / l", replicate._data_unit_id, "replicate data") - check_consistency("hours", replicate._time_unit_id, "replicate time") - - # Test Kinetic parameters - reaction = enzmldoc.getReaction("r0") - param = reaction.model.parameters[0] - param.unit = "mole / l" - - check_consistency("mole / l", param._unit_id, "kinetic parameter") - - def test_writing_sbml(self, enzmldoc): - """Test whether the XML content is as expected""" - - expected = open( - "./tests/fixtures/write_xml_string.xml", "r", encoding="utf-8" - ).read() - - assert enzmldoc.toXMLString() == expected diff --git a/tests/enzymeml/core/test_enzymereaction.py b/tests/enzymeml/core/test_enzymereaction.py deleted file mode 100644 index 36b7944d..00000000 --- a/tests/enzymeml/core/test_enzymereaction.py +++ /dev/null @@ -1,402 +0,0 @@ -import pytest - -from pyenzyme.enzymeml.core.enzymereaction import EnzymeReaction, ReactionElement -from pyenzyme.enzymeml.core.ontology import SBOTerm -from pyenzyme.enzymeml.core.exceptions import SpeciesNotFoundError - - -class TestEnzymeReactionBasic: - def test_content(self): - """Test consistency of inputs""" - - reaction = EnzymeReaction( - name="SomeReaction", - reversible=True, - temperature=100.0, - temperature_unit="C", - ph=7.0, - ontology=SBOTerm.BIOCHEMICAL_REACTION, - id="r0", - meta_id="undefined", - creator_id="a0", - uri="URI", - model=None, - ) - - assert reaction.name == "SomeReaction" - assert reaction.reversible - assert reaction.temperature == 100.0 + 273.15 - assert reaction.temperature_unit == "K" - assert reaction.ph == 7.0 - assert reaction.ontology == SBOTerm.BIOCHEMICAL_REACTION - assert reaction.id == "r0" - assert reaction.meta_id == "METAID_R0" - assert reaction.creator_id == "a0" - assert reaction.uri == "URI" - assert not reaction.model - assert reaction.educts == [] - assert reaction.products == [] - assert reaction.modifiers == [] - - def test_defaults(self): - """Test if the defaults are the same""" - - reaction = EnzymeReaction(name="SomeReaction", reversible=True) - - assert not reaction.temperature - assert not reaction.temperature_unit - assert not reaction.ph - assert not reaction.id - assert not reaction.meta_id - assert not reaction.uri - assert not reaction.creator_id - assert not reaction.model - assert reaction.ontology == SBOTerm.BIOCHEMICAL_REACTION - assert reaction.educts == [] - assert reaction.products == [] - assert reaction.modifiers == [] - - def test_get_element(self, reaction): - """Tests the element getter""" - - # Now apply the get methods - educt = reaction.getEduct("s0") - assert educt.species_id == "s0" - assert educt.stoichiometry == 1.0 - assert educt.constant is False - assert educt.ontology == SBOTerm.SUBSTRATE - - product = reaction.getProduct("s1") - assert product.species_id == "s1" - assert product.stoichiometry == 1.0 - assert product.constant is False - assert product.ontology == SBOTerm.PRODUCT - - modifier = reaction.getModifier("p0") - assert modifier.species_id == "p0" - assert modifier.stoichiometry == 1.0 - assert modifier.constant is True - assert modifier.ontology == SBOTerm.CATALYST - - # Test not existent identifiers - with pytest.raises(SpeciesNotFoundError): - reaction.getEduct("s100") - with pytest.raises(SpeciesNotFoundError): - reaction.getProduct("s100") - with pytest.raises(SpeciesNotFoundError): - reaction.getModifier("s100") - - def test_add_element(self, enzmldoc): - """Tests the add methods""" - - # Fetch the reaction for testing and reset elements - reaction = enzmldoc.reaction_dict["r0"] - reaction.educts = [] - reaction.products = [] - reaction.modifiers = [] - - # Test educt addition - reaction.addEduct( - species_id="s0", stoichiometry=1.0, constant=False, enzmldoc=enzmldoc - ) - - # Fetch the educt - educt = reaction.getEduct("s0") - assert educt.species_id == "s0" - assert educt.stoichiometry == 1.0 - assert educt.constant is False - assert educt.ontology == SBOTerm.SUBSTRATE - - # Test product addition - reaction.addProduct( - species_id="s1", stoichiometry=1.0, constant=False, enzmldoc=enzmldoc - ) - - # Fetch the educt - product = reaction.getProduct("s1") - assert product.species_id == "s1" - assert product.stoichiometry == 1.0 - assert product.constant is False - assert product.ontology == SBOTerm.PRODUCT - - # Test product addition - reaction.addModifier( - species_id="p0", stoichiometry=1.0, constant=False, enzmldoc=enzmldoc - ) - - # Fetch the educt - modifier = reaction.getModifier("p0") - assert modifier.species_id == "p0" - assert modifier.stoichiometry == 1.0 - assert modifier.constant is False - assert modifier.ontology == SBOTerm.CATALYST - - # Test case, ID not in document - with pytest.raises(SpeciesNotFoundError): - reaction.addEduct( - species_id="s100", stoichiometry=1.0, constant=False, enzmldoc=enzmldoc - ) - - with pytest.raises(SpeciesNotFoundError): - reaction.addProduct( - species_id="s100", stoichiometry=1.0, constant=False, enzmldoc=enzmldoc - ) - - with pytest.raises(SpeciesNotFoundError): - reaction.addModifier( - species_id="s100", stoichiometry=1.0, constant=False, enzmldoc=enzmldoc - ) - - def test_from_equation_with_names(self, enzmldoc): - """Tests initialization from equation using names""" - - # Test for irreversible case - reaction = EnzymeReaction.fromEquation( - "2.0 Reactant + Protein -> Complex", - "SomeReaction", - enzmldoc, - temperature=100.0, - temperature_unit="C", - ph=7.0, - ) - - assert reaction.name == "SomeReaction" - assert reaction.temperature == 100 + 273.15 - assert reaction.temperature_unit == "K" - assert reaction.ph == 7.0 - assert reaction.reversible is False - - # Fetch the educt (should be s0) - educt = reaction.getEduct("s0") - assert educt.species_id == "s0" - assert educt.stoichiometry == 2.0 - assert educt.constant is False - assert educt.ontology == SBOTerm.SUBSTRATE - - # Fetch the educt (should be p0) - product = reaction.getEduct("p0") - assert product.species_id == "p0" - assert product.stoichiometry == 1.0 - assert product.constant is False - assert product.ontology == SBOTerm.SUBSTRATE - - # Fetch the product (should be c0) - product = reaction.getProduct("c0") - assert product.species_id == "c0" - assert product.stoichiometry == 1.0 - assert product.constant is False - assert product.ontology == SBOTerm.PRODUCT - - # Test for irreversible case - reaction = EnzymeReaction.fromEquation( - "2.0 Reactant + Protein = Complex", - "SomeReaction", - enzmldoc, - temperature=100.0, - temperature_unit="C", - ph=7.0, - ) - - assert reaction.name == "SomeReaction" - assert reaction.temperature == 100 + 273.15 - assert reaction.temperature_unit == "K" - assert reaction.ph == 7.0 - assert reaction.reversible is True - - # Fetch the educt (should be s0) - educt = reaction.getEduct("s0") - assert educt.species_id == "s0" - assert educt.stoichiometry == 2.0 - assert educt.constant is False - assert educt.ontology == SBOTerm.SUBSTRATE - - # Fetch the educt (should be p0) - product = reaction.getEduct("p0") - assert product.species_id == "p0" - assert product.stoichiometry == 1.0 - assert product.constant is False - assert product.ontology == SBOTerm.SUBSTRATE - - # Fetch the product (should be c0) - product = reaction.getProduct("c0") - assert product.species_id == "c0" - assert product.stoichiometry == 1.0 - assert product.constant is False - assert product.ontology == SBOTerm.PRODUCT - - def test_from_equation_with_ids(self, enzmldoc): - """Tests initialization from equation using names""" - - # Test for irreversible case - reaction = EnzymeReaction.fromEquation( - "2.0 s0 + p0 -> c0", - "SomeReaction", - enzmldoc, - temperature=100.0, - temperature_unit="C", - ph=7.0, - ) - - assert reaction.name == "SomeReaction" - assert reaction.temperature == 100 + 273.15 - assert reaction.temperature_unit == "K" - assert reaction.ph == 7.0 - assert reaction.reversible is False - - # Fetch the educt (should be s0) - educt = reaction.getEduct("s0") - assert educt.species_id == "s0" - assert educt.stoichiometry == 2.0 - assert educt.constant is False - assert educt.ontology == SBOTerm.SUBSTRATE - - # Fetch the educt (should be p0) - product = reaction.getEduct("p0") - assert product.species_id == "p0" - assert product.stoichiometry == 1.0 - assert product.constant is False - assert product.ontology == SBOTerm.SUBSTRATE - - # Fetch the product (should be c0) - product = reaction.getProduct("c0") - assert product.species_id == "c0" - assert product.stoichiometry == 1.0 - assert product.constant is False - assert product.ontology == SBOTerm.PRODUCT - - # Test for irreversible case - reaction = EnzymeReaction.fromEquation( - "2.0 s0 + p0 = c0", - "SomeReaction", - enzmldoc, - temperature=100.0, - temperature_unit="C", - ph=7.0, - ) - - assert reaction.name == "SomeReaction" - assert reaction.temperature == 100 + 273.15 - assert reaction.temperature_unit == "K" - assert reaction.ph == 7.0 - assert reaction.reversible is True - - # Fetch the educt (should be s0) - educt = reaction.getEduct("s0") - assert educt.species_id == "s0" - assert educt.stoichiometry == 2.0 - assert educt.constant is False - assert educt.ontology == SBOTerm.SUBSTRATE - - # Fetch the educt (should be p0) - product = reaction.getEduct("p0") - assert product.species_id == "p0" - assert product.stoichiometry == 1.0 - assert product.constant is False - assert product.ontology == SBOTerm.SUBSTRATE - - # Fetch the product (should be c0) - product = reaction.getProduct("c0") - assert product.species_id == "c0" - assert product.stoichiometry == 1.0 - assert product.constant is False - assert product.ontology == SBOTerm.PRODUCT - - def test_faulty_equation_init(self, enzmldoc): - """Tests faulty instances of equation initialization""" - - # No arrow - with pytest.raises(ValueError): - EnzymeReaction.fromEquation("1.0 s0 + 2.0 p0", "FaultyReaction", enzmldoc) - - # No right side (irrev) - with pytest.raises(ValueError): - EnzymeReaction.fromEquation( - "1.0 s0 + 2.0 p0 -> ", "FaultyReaction", enzmldoc - ) - - # No right side (rev) - with pytest.raises(ValueError): - EnzymeReaction.fromEquation( - "1.0 s0 + 2.0 p0 = ", "FaultyReaction", enzmldoc - ) - - # No right side (irrev) - with pytest.raises(ValueError): - EnzymeReaction.fromEquation( - " -> 1.0 s0 + 2.0 p0", "FaultyReaction", enzmldoc - ) - - # No right side (rev) - with pytest.raises(ValueError): - EnzymeReaction.fromEquation("= 1.0 s0 + 2.0 p0", "FaultyReaction", enzmldoc) - - def test_set_model(self, enzmldoc, correct_model, faulty_model): - """Tests if the model is set correctly.""" - - # Correct case - reaction = enzmldoc.getReaction("r0") - reaction.model = None - - # Set the model and check if the units are set correctly - reaction.setModel(correct_model, enzmldoc) - assert reaction.model.name == "SomeModel" - assert reaction.model.equation == "s0 * x" - - # Check parameters are converted correctly - parameter = reaction.model.parameters[0] - assert parameter.name == "x" - assert parameter.value == 10.0 - assert parameter.unit == "mmole / l" - assert enzmldoc._unit_dict[parameter._unit_id].name == "mmole / l" - - # Faulty case - with pytest.raises(SpeciesNotFoundError): - reaction.setModel(faulty_model, enzmldoc) - - def test_get_stoich_coeffs(self, enzmldoc): - """Tests if the method to return stoich coefficients works""" - - # Get the reaction - reaction = enzmldoc.getReaction("r0") - - # Set the expected example and test against method - correct_coeffs = {"s0": 1.0, "s1": -1.0} - coeffs = reaction.getStoichiometricCoefficients() - assert coeffs == correct_coeffs - - def test_initial_value_application(self, enzmldoc): - """Tests whether initial values are applied correctly""" - - # Correct test case - # Set up initial values and get reaction - init_values = { - "x": {"initial_value": 100.0, "upper": 200.0, "lower": 0, "constant": False} - } - reaction = enzmldoc.getReaction("r0") - - # Apply method and assert - reaction.apply_initial_values(init_values) - assert reaction.model.parameters[0].initial_value == 100.0 - - # Test case with wrong identifier - init_values = {"y": 100.0} - with pytest.raises(KeyError): - reaction.apply_initial_values(init_values) - - # Test case with unset model - reaction.model = None - with pytest.raises(ValueError): - reaction.apply_initial_values(init_values) - - -class TestReactionElement: - def test_content(self): - """Tests consistency of content""" - - element = ReactionElement( - species_id="s0", stoichiometry=1.0, constant=False, ontology=SBOTerm.PRODUCT - ) - - assert element.species_id == "s0" - assert element.constant is False - assert element.ontology == SBOTerm.PRODUCT diff --git a/tests/enzymeml/core/test_measurement.py b/tests/enzymeml/core/test_measurement.py deleted file mode 100644 index 873a2d58..00000000 --- a/tests/enzymeml/core/test_measurement.py +++ /dev/null @@ -1,220 +0,0 @@ -import pytest - -from pyenzyme.enzymeml.core.measurement import Measurement - - -class TestMeasurement: - def test_content(self): - """Tests consistency of content""" - - measurement = Measurement( - name="SomeMeasurement", - temperature=100.0, - temperature_unit="C", - ph=7.0, - global_time=[1, 2, 3, 4], - global_time_unit="s", - id="m0", - uri="URI", - creator_id="a0", - ) - - assert measurement.name == "SomeMeasurement" - assert measurement.temperature == 100.0 + 273.15 - assert measurement.temperature_unit == "K" - assert measurement.ph == 7.0 - assert measurement.global_time == [1, 2, 3, 4] - assert measurement.global_time_unit == "s" - assert measurement.id == "m0" - assert measurement.uri == "URI" - assert measurement.creator_id == "a0" - assert measurement.species_dict == {"proteins": {}, "reactants": {}} - assert not measurement._global_time_unit_id - assert not measurement._temperature_unit_id - - def test_defaults(self): - """Test default values""" - - measurement = Measurement(name="SomeMeasurement") - - assert not measurement.temperature - assert not measurement.temperature_unit - assert not measurement.ph - assert not measurement.global_time - assert not measurement.global_time_unit - assert not measurement.id - assert not measurement.uri - assert not measurement.creator_id - assert measurement.species_dict == {"proteins": {}, "reactants": {}} - - def test_data_export(self, measurement): - """Test correct data export""" - - # Call the export function - data = measurement.exportData() - - # Check structure - assert "proteins" in data.keys() - assert "reactants" in data.keys() - - # Check initial concentrations - init_conc = data["proteins"]["initConc"] - assert init_conc == {"p0": (10.0, "mmole / l")} - - init_conc = data["reactants"]["initConc"] - assert init_conc == {"s0": (10.0, "mmole / l")} - - # Construct expected DataFrame - expected_protein = { - "p0": {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0}, - "time": {0: 1.0, 1: 2.0, 2: 3.0, 3: 4.0}, - } - expected_reactant = { - "s0": {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0}, - "time": {0: 1.0, 1: 2.0, 2: 3.0, 3: 4.0}, - } - - assert data["reactants"]["data"].to_dict() == expected_reactant - assert data["proteins"]["data"].to_dict() == expected_protein - - def test_data_export_no_repls(self, measurement): - """Tests export method when no replicates are given""" - - # Remove replicates - measurement.species_dict["proteins"]["p0"].replicates = [] - measurement.species_dict["reactants"]["s0"].replicates = [] - - # Call the export function - data = measurement.exportData() - - # Check initial concentrations - init_conc = data["proteins"]["initConc"] - assert init_conc == {"p0": (10.0, "mmole / l")} - - init_conc = data["reactants"]["initConc"] - assert init_conc == {"s0": (10.0, "mmole / l")} - - assert not data["reactants"]["data"].to_dict() - assert not data["proteins"]["data"].to_dict() - - def test_data_export_specific_species(self, measurement): - """Tests export method when a specific species is given""" - - # Test case with list as argument - data = measurement.exportData(species_ids=["s0"]) - expected_reactant = { - "s0": {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0}, - "time": {0: 1.0, 1: 2.0, 2: 3.0, 3: 4.0}, - } - - assert data["reactants"]["initConc"] == {"s0": (10.0, "mmole / l")} - assert data["reactants"]["data"].to_dict() == expected_reactant - - assert not data["proteins"]["initConc"] - assert not data["proteins"]["data"].to_dict() - - # Test case with string as argument - data = measurement.exportData(species_ids="s0") - init_conc = data["reactants"]["initConc"] - expected_reactant = { - "s0": {0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0}, - "time": {0: 1.0, 1: 2.0, 2: 3.0, 3: 4.0}, - } - - assert data["reactants"]["initConc"] == {"s0": (10.0, "mmole / l")} - assert data["reactants"]["data"].to_dict() == expected_reactant - - assert not data["proteins"]["initConc"] - assert not data["proteins"]["data"].to_dict() - - def test_add_replicates(self, measurement, replicate, enzmldoc): - """Tests the addition of replicates""" - - # Reset replicates - measurement.species_dict["reactants"]["s0"].replicates = [] - - # Call the addReplicates method to add replicate - measurement.addReplicates(replicate, enzmldoc) - - assert measurement.species_dict["reactants"]["s0"].replicates[0] == replicate - - # Test case with list of replicates - measurement.species_dict["reactants"]["s0"].replicates = [] - replicate2 = replicate.copy() - replicate2.id = "repl_s0_1" - - # Call the addReplicates method to add replicate - measurement.addReplicates([replicate, replicate2], enzmldoc) - - assert measurement.species_dict["reactants"]["s0"].replicates == [ - replicate, - replicate2, - ] - - def test_add_data(self, measurement, replicate): - """Tests the addition of data""" - - # Reset measurement to have no data - measurement.species_dict = {"proteins": {}, "reactants": {}} - - # Add reactant data - measurement.addData( - init_conc=10.0, unit="mmole / l", reactant_id="s0", replicates=[replicate] - ) - - # Extract the entry - assert "s0" in measurement.species_dict["reactants"].keys() - reactant = measurement.species_dict["reactants"]["s0"] - - assert reactant.reactant_id == "s0" - assert reactant.init_conc == 10.0 - assert reactant.unit == "mmole / l" - assert reactant.replicates == [replicate] - - # Add reactant data - replicate.species_id = "p0" - measurement.addData( - init_conc=10.0, unit="mmole / l", protein_id="p0", replicates=[replicate] - ) - - # Extract the entry - assert "p0" in measurement.species_dict["proteins"].keys() - reactant = measurement.species_dict["proteins"]["p0"] - - assert reactant.protein_id == "p0" - assert reactant.init_conc == 10.0 - assert reactant.unit == "mmole / l" - assert reactant.replicates == [replicate] - - def test_unit_unification(self, enzmldoc): - """Tests if unit unification works""" - - # Get the measurement from the EnzymeMLDocument - measurement = enzmldoc.measurement_dict["m0"] - - # Perform unit unification - measurement.unifyUnits(kind="mole", scale=-6, enzmldoc=enzmldoc) - - # Check for reactants - replicate = measurement.species_dict["reactants"]["s0"].replicates[0] - nu_unit_id = replicate._data_unit_id - - assert replicate.data == [1000.0, 1000.0, 1000.0, 1000.0] - assert replicate.time == [1.0, 2.0, 3.0, 4.0] - assert enzmldoc._unit_dict[nu_unit_id].name == "umole / l" - - # Check for proteins - replicate = measurement.species_dict["proteins"]["p0"].replicates[0] - nu_unit_id = replicate._data_unit_id - - assert replicate.data == [1000.0, 1000.0, 1000.0, 1000.0] - assert replicate.time == [1.0, 2.0, 3.0, 4.0] - assert enzmldoc._unit_dict[nu_unit_id].name == "umole / l" - - # Test for not supported unit kinds - with pytest.raises(ValueError): - measurement.unifyUnits(kind="joule", scale=-6, enzmldoc=enzmldoc) - - # Test for not supported unit kinds - with pytest.raises(ValueError): - measurement.unifyUnits(kind="mole", scale=-10, enzmldoc=enzmldoc) diff --git a/tests/enzymeml/core/test_measurement_data.py b/tests/enzymeml/core/test_measurement_data.py deleted file mode 100644 index 19d109d8..00000000 --- a/tests/enzymeml/core/test_measurement_data.py +++ /dev/null @@ -1,80 +0,0 @@ -import pytest - -from pyenzyme.enzymeml.core.measurementData import MeasurementData -from pyenzyme.enzymeml.core.exceptions import MeasurementDataSpeciesIdentifierError - - -class TestMeasurementData: - def test_content(self): - """Tests data consistency""" - - # Check for reactant input - data = MeasurementData( - init_conc=10.0, unit="mmole / l", measurement_id="m0", reactant_id="s0" - ) - - assert data.init_conc == 10.0 - assert data.unit == "mmole / l" - assert data.measurement_id == "m0" - assert data.reactant_id == "s0" - assert not data.protein_id - assert not data.replicates - - # Check for protein input - data = MeasurementData( - init_conc=10.0, unit="mmole / l", measurement_id="m0", protein_id="p0" - ) - - assert data.init_conc == 10.0 - assert data.unit == "mmole / l" - assert data.measurement_id == "m0" - assert data.protein_id == "p0" - assert not data.reactant_id - assert not data.replicates - - def test_false_ids(self): - """Tests the cases when either no or both IDs are given""" - - # Check when both are not given - with pytest.raises(MeasurementDataSpeciesIdentifierError): - MeasurementData(init_conc=10.0, unit="mmole / l", measurement_id="m0") - - # Check when both are given at same time - with pytest.raises(MeasurementDataSpeciesIdentifierError): - MeasurementData( - init_conc=10.0, - unit="mmole / l", - measurement_id="m0", - reactant_id="s0", - protein_id="p0", - ) - - def test_unify_units(self, enzmldoc): - """Tests the rescaling of units""" - - # Fetch the measurement data object - measurement = enzmldoc.measurement_dict["m0"] - data = measurement.species_dict["reactants"]["s0"] - - # Apply unifyUnits method and get the replicate - data.unifyUnits(kind="mole", scale=-6, enzmldoc=enzmldoc) - replicate = data.replicates[0] - - assert replicate.data == [1000.0, 1000.0, 1000.0, 1000.0] - assert replicate.data_unit == "umole / l" - assert enzmldoc._unit_dict[replicate._data_unit_id].name == "umole / l" - - assert data.init_conc == 10000.0 - assert data.unit == "umole / l" - - def test_add_replicate(self, measurement, replicate): - """Tests if the added replicate is correct""" - - # Reset objects replicates - data = measurement.species_dict["reactants"]["s0"] - data.replicates = [] - - # Apply method - data.addReplicate(replicate) - - assert data.replicates == [replicate] diff --git a/tests/enzymeml/core/test_protein.py b/tests/enzymeml/core/test_protein.py deleted file mode 100644 index f7cf638e..00000000 --- a/tests/enzymeml/core/test_protein.py +++ /dev/null @@ -1,48 +0,0 @@ -from pyenzyme.enzymeml.core.protein import Protein -from pyenzyme.enzymeml.core.ontology import SBOTerm - - -class TestProtein: - - def test_content(self): - # Test consistency of inputs - protein = Protein( - name="SomeProtein", vessel_id="v0", - init_conc=10.0, unit="mmole / l", constant=True, meta_id="undefined", - id="p0", boundary=True, ontology=SBOTerm.MACROMOLECULAR_COMPLEX, uri="URI", creator_id="a0", - sequence="HGTHMLAP", ecnumber="1.1.1.1", organism="SomeOrganism", organism_tax_id="2894792", uniprotid="P0A955" - ) - - assert protein.sequence == "HGTHMLAP" - assert protein.ecnumber == "1.1.1.1" - assert protein.organism == "SomeOrganism" - assert protein.organism_tax_id == "2894792" - - def test_defaults(self): - # Test if the defaults are the same - protein = Protein( - name="SomeProtein", vessel_id="v0" - ) - - assert protein.constant is True - assert protein.boundary is False - assert protein.ontology == SBOTerm.PROTEIN - assert not protein.sequence - assert not protein.ecnumber - assert not protein.organism - assert not protein.organism_tax_id - assert not protein.uniprotid - - def test_uniprot_id_init(self): - - protein = Protein.fromUniProtID( - uniprotid="P0A955", vessel_id="v0", init_conc=10.0, unit="mmole / l" - ) - - assert protein.uniprotid == "P0A955" - assert protein.name == "Phospho-2-keto-3-deoxygluconate aldolase" - assert protein.sequence == "MKNWKTSAESILTTGPVVPVIVVKKLEHAVPMAKALVAGGVRVLEVTLRTECAVDAIRAIAKEVPEAIVGAGTVLNPQQLAEVTEAGAQFAISPGLTEPLLKAATEGTIPLIPGISTVSELMLGMDYGLKEFKFFPAEANGGVKALQAIAGPFSQVRFCPTGGISPANYRDYLALKSVLCIGGSWLVPADALEAGDYDRITKLAREAVEGAKL" - assert protein.ecnumber == "4.1.2.14" - assert protein.init_conc == 10.0 - assert protein.unit == "mmole / l" - assert protein.vessel_id == "v0" diff --git a/tests/enzymeml/core/test_reactant.py b/tests/enzymeml/core/test_reactant.py deleted file mode 100644 index 4b34c5d6..00000000 --- a/tests/enzymeml/core/test_reactant.py +++ /dev/null @@ -1,44 +0,0 @@ -from pyenzyme.enzymeml.core.reactant import Reactant -from pyenzyme.enzymeml.core.ontology import SBOTerm - - -class TestReactant: - - def test_content(self): - # Test consistency of inputs - reactant = Reactant( - name="SomeReactant", vessel_id="v0", - init_conc=10.0, unit="mmole / l", constant=True, meta_id="undefined", - id="s0", boundary=True, ontology=SBOTerm.MACROMOLECULAR_COMPLEX, uri="URI", creator_id="a0", - inchi="AnInChICode", smiles="()(()-)", chebi_id="CHEBI:15377" - ) - - assert reactant.inchi == "AnInChICode" - assert reactant.chebi_id == "CHEBI:15377" - assert reactant.smiles == "()(()-)" - - def test_defaults(self): - # Test if the defaults are the same - reactant = Reactant( - name="SomeReactant", vessel_id="v0" - ) - - assert reactant.constant is False - assert reactant.boundary is False - assert reactant.ontology == SBOTerm.SMALL_MOLECULE - assert not reactant.inchi - assert not reactant.smiles - assert not reactant.chebi_id - - # def test_chebi_id_init(self): - - # reactant = Reactant.fromChebiID( - # chebi_id="CHEBI:15377", vessel_id="v0", init_conc=10.0, unit="mmole / l" - # ) - - # assert reactant.chebi_id == "CHEBI:15377" - # assert reactant.name == "water" - # assert reactant.inchi == "InChI=1S/H2O/h1H2" - # assert reactant.smiles == "[H]O[H]" - # assert reactant.init_conc == 10.0 - # assert reactant.unit == "mmole / l" diff --git a/tests/enzymeml/core/test_replicate.py b/tests/enzymeml/core/test_replicate.py deleted file mode 100644 index 4adf3835..00000000 --- a/tests/enzymeml/core/test_replicate.py +++ /dev/null @@ -1,63 +0,0 @@ -import pytest - -from pyenzyme.enzymeml.core.replicate import Replicate -from pyenzyme.enzymeml.core.ontology import DataTypes -from pyenzyme.enzymeml.core.exceptions import DataError - - -class TestReplicate: - - def test_content(self): - """Tests consistency of content""" - - replicate = Replicate( - id="repl_s0_1", species_id="s0", measurement_id="m0", - data_type=DataTypes.CONCENTRATION, time_unit="min", time=[1, 2, 3], - data_unit="mmole / l", data=[1, 1, 1], is_calculated=False, uri="URI", creator_id="a0" - ) - - assert replicate.id == "repl_s0_1" - assert replicate.species_id == "s0" - assert replicate.measurement_id == "m0" - assert replicate.data_type == DataTypes.CONCENTRATION - assert replicate.time_unit == "min" - assert replicate.data_unit == "mmole / l" - assert replicate.data == [1, 1, 1] - assert replicate.time == [1, 2, 3] - assert replicate.uri == "URI" - assert replicate.creator_id == "a0" - assert replicate.is_calculated is False - - def test_defaults(self): - """Tests the default arguments""" - - replicate = Replicate( - id="repl_s0_1", species_id="s0", data_unit="mmole", time_unit="min" - ) - - assert replicate.id == "repl_s0_1" - assert replicate.species_id == "s0" - assert replicate.data_type == DataTypes.CONCENTRATION - assert replicate.is_calculated is False - assert not replicate.measurement_id - assert not replicate.data - assert not replicate.time - assert not replicate.uri - assert not replicate.creator_id - - def test_data_completeness(self): - """Tests if correct error messages are thrown at missing data""" - - with pytest.raises(DataError): - Replicate( - id="repl_s0_1", species_id="s0", measurement_id="m0", - data_type=DataTypes.CONCENTRATION, time_unit="min", - data_unit="mmole / l", data=[1, 1, 1], is_calculated=False, uri="URI", creator_id="a0" - ) - - with pytest.raises(DataError): - Replicate( - id="repl_s0_1", species_id="s0", measurement_id="m0", - data_type=DataTypes.CONCENTRATION, time_unit="min", - data_unit="mmole / l", data=[1, 1, 1], time=[1, 2], is_calculated=False, uri="URI", creator_id="a0" - ) diff --git a/tests/enzymeml/core/test_vessel.py b/tests/enzymeml/core/test_vessel.py deleted file mode 100644 index 35eb7d8d..00000000 --- a/tests/enzymeml/core/test_vessel.py +++ /dev/null @@ -1,36 +0,0 @@ -from pyenzyme.enzymeml.core.vessel import Vessel - - -class TestVessel: - - def test_content(self): - """Tests consistency of content""" - - vessel = Vessel( - name="SomeVessel", volume=100.0, unit="ml", constant=True, - id="v0", meta_id="undefined", uri="URI", creator_id="a0" - ) - - assert vessel.name == "SomeVessel" - assert vessel.volume == 100.0 - assert vessel.unit == "ml" - assert vessel.constant is True - assert vessel.id == "v0" - assert vessel.meta_id == "METAID_V0" - assert vessel.uri == "URI" - assert vessel.creator_id == "a0" - - def test_defaults(self): - """Tests default values""" - - vessel = Vessel(name="SomeVessel") - - assert vessel.name == "SomeVessel" - assert vessel.constant is True - assert not vessel.volume - assert not vessel.unit - assert not vessel.id - assert not vessel.meta_id - assert not vessel.uri - assert not vessel.creator_id - assert not vessel._unit_id diff --git a/tests/enzymeml/models/__init__.py b/tests/enzymeml/models/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/tests/enzymeml/models/test_kineticlaw.py b/tests/enzymeml/models/test_kineticlaw.py deleted file mode 100644 index 6e6da816..00000000 --- a/tests/enzymeml/models/test_kineticlaw.py +++ /dev/null @@ -1,134 +0,0 @@ -from pyenzyme.enzymeml.models.kineticmodel import KineticModel -from pyenzyme.enzymeml.models.kineticmodel import KineticParameter -from pyenzyme.enzymeml.core.ontology import SBOTerm - - -class TestKineticModel: - def test_content(self): - """Tests consistency of content""" - - # Set up kinetic parameter - param = KineticParameter( - name="kcat", - value=10.0, - unit="1 / s", - initial_value=20.0, - upper=30.0, - lower=0, - is_global=False, - stdev=1.0, - ) - - assert param.name == "kcat" - assert param.value == 10.0 - assert param.unit == "1 / s" - assert param.initial_value == 20.0 - assert param.upper == 30.0 - assert param.lower == 0.0 - assert param.stdev == 1.0 - assert not param.is_global - - # Set up kinetic model - km = KineticModel( - name="Michaelis Menten Model", - equation="p0*kcat*s0 / (km * s0)", - parameters=[param], - ontology=SBOTerm.MICHAELIS_MENTEN, - ) - - assert km.name == "Michaelis Menten Model" - assert km.equation == "p0*kcat*s0 / (km * s0)" - assert km.ontology == SBOTerm.MICHAELIS_MENTEN - - # Add another paramete - km.addParameter( - name="km", - value=10.0, - unit="mmole / l", - initial_value=20.0, - upper=30.0, - lower=0, - is_global=False, - stdev=1.0, - ) - - # Check addition has worked - assert km.getParameter("km").name == "km" - assert km.getParameter("km").value == 10.0 - assert km.getParameter("km").unit == "mmole / l" - assert km.getParameter("km").initial_value == 20.0 - assert km.getParameter("km").upper == 30.0 - assert km.getParameter("km").lower == 0.0 - assert km.getParameter("km").stdev == 1.0 - assert not km.getParameter("km").is_global - - def test_from_equation(self, enzmldoc): - """Tests the model initialization via an equation""" - - # With IDs - model = KineticModel.fromEquation(name="Model", equation="s0 * x + p0 * c0") - - assert len(model.parameters) == 1 - assert model.parameters[0].name == "x" - assert model.name == "Model" - - # With names - model = KineticModel.fromEquation( - name="Model", equation="Reactant * x + Protein * Complex", enzmldoc=enzmldoc - ) - - assert len(model.parameters) == 1 - assert model.parameters[0].name == "x" - assert model.name == "Model" - assert model.equation == "s0 * x + p0 * c0" - - def test_model_generator(self, enzmldoc): - """Tests consistency of the model generator""" - - # Set up a generator - generator = KineticModel.createGenerator( - name="Michaelis Menten Model", - equation="protein*kcat*substrate / (km * substrate)", - kcat={"unit": "1 / s", "value": 10.0}, - km={"unit": "mmole / l", "value": 10.0}, - ) - - # Generate kinetic model - km = generator(protein="p0", substrate="s0") - - assert km.name == "Michaelis Menten Model" - assert km.equation == "'p0'*kcat*'s0' / (km * 's0')" - - # Add model to reaction - reaction = enzmldoc.reaction_dict["r0"] - reaction.setModel(km, enzmldoc) - - assert reaction.model.name == "Michaelis Menten Model" - assert reaction.model.equation == "p0*kcat*s0 / (km * s0)" - - # Add model to reaction - reaction.model = km - - assert reaction.model.name == "Michaelis Menten Model" - assert reaction.model.equation == "p0*kcat*s0 / (km * s0)" - - # Test if the model is actually written to the XML - xml_string = enzmldoc.toXMLString() - expected = """ - - - - - p0 - kcat - s0 - - - - km - s0 - - - """ - - assert expected in xml_string, "Model has not been written to XML" diff --git a/tests/enzymeml/tools/__init__.py b/tests/enzymeml/tools/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/tests/enzymeml/tools/test_templatereader.py b/tests/enzymeml/tools/test_templatereader.py deleted file mode 100644 index d4702d8c..00000000 --- a/tests/enzymeml/tools/test_templatereader.py +++ /dev/null @@ -1,15 +0,0 @@ -import json - -from pyenzyme.enzymeml.core.enzymemldocument import EnzymeMLDocument - - -class TestTemplateReader: - def test_template_conversion(self, template_example): - """Tests the conversion of the EnzymeML Spreadsheet template""" - - # Convert the template fixture - enzmldoc = EnzymeMLDocument.fromTemplate( - "./tests/fixtures/EnzymeML_Template_Example.xlsm" - ) - - assert enzmldoc.dict(exclude={"log"}) == template_example.dict(exclude={"log"}) diff --git a/tests/enzymeml/tools/test_unitcreator.py b/tests/enzymeml/tools/test_unitcreator.py deleted file mode 100644 index 7e9c1b72..00000000 --- a/tests/enzymeml/tools/test_unitcreator.py +++ /dev/null @@ -1,250 +0,0 @@ -import libsbml - -from pyenzyme.enzymeml.tools.unitcreator import UnitCreator -from pyenzyme.enzymeml.core.enzymemldocument import EnzymeMLDocument -from pyenzyme.enzymeml.core.unitdef import UnitDef - - -class TestUnitCreator: - def test_primitive_units(self): - """Tests if units are parsed correctly""" - - # ! Mole units - name = "mole" - expec, result = self._setup_test(name, libsbml.UNIT_KIND_MOLE, 1, 1, 1) - assert result == expec, f"wrong {name} unit" - - # ! Volumetric units - name = "l" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_LITRE, 1, 1, 1) - assert res == expec, f"wrong {name} unit" - - name = "liter" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_LITRE, 1, 1, 1) - assert res == expec, f"wrong {name} unit" - - name = "litre" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_LITRE, 1, 1, 1) - assert res == expec, f"wrong {name} unit" - - # ! Weight units - name = "g" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_GRAM, 1, 1, 1) - assert res == expec, f"wrong {name} unit" - - name = "gram" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_GRAM, 1, 1, 1) - assert res == expec, f"wrong {name} unit" - - # ! Time units - name = "s" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_SECOND, 1, 1, 1) - assert res == expec, f"wrong {name} unit" - - name = "sec" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_SECOND, 1, 1, 1) - assert res == expec, f"wrong {name} unit" - - name = "second" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_SECOND, 1, 1, 1) - assert res == expec, f"wrong {name} unit" - - name = "seconds" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_SECOND, 1, 1, 1) - assert res == expec, f"wrong {name} unit" - - name = "min" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_SECOND, 1, 1, 60) - assert res == expec, f"wrong {name} unit" - - name = "mins" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_SECOND, 1, 1, 60) - assert res == expec, f"wrong {name} unit" - - name = "minutes" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_SECOND, 1, 1, 60) - assert res == expec, f"wrong {name} unit" - - name = "h" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_SECOND, 1, 1, 60 * 60) - assert res == expec, f"wrong {name} unit" - - name = "hour" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_SECOND, 1, 1, 60 * 60) - assert res == expec, f"wrong {name} unit" - - name = "hours" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_SECOND, 1, 1, 60 * 60) - assert res == expec, f"wrong {name} unit" - - # ! Temperature units - name = "C" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_KELVIN, 1, 1, 1) - expec["name"] = "K" - assert res == expec, f"wrong {name} unit" - - name = "celsius" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_KELVIN, 1, 1, 1) - expec["name"] = name - assert res == expec, f"wrong {name} unit" - - name = "Celsius" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_KELVIN, 1, 1, 1) - expec["name"] = name.lower() - assert res == expec, f"wrong {name} unit" - - name = "K" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_KELVIN, 1, 1, 1) - expec["name"] = name - assert res == expec, f"wrong {name} unit" - - name = "kelvin" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_KELVIN, 1, 1, 1) - expec["name"] = name - assert res == expec, f"wrong {name} unit" - - name = "Kelvin" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_KELVIN, 1, 1, 1) - expec["name"] = name.lower() - assert res == expec, f"wrong {name} unit" - - # ! Dimensionless unit - name = "dimensionless" - expec, res = self._setup_test(name, libsbml.UNIT_KIND_DIMENSIONLESS, 1, 1, 1) - assert res == expec, f"wrong {name} unit" - - def test_prefix(self): - """Tests correct prefix parsing""" - - expec, res = self._setup_test("fmole", libsbml.UNIT_KIND_MOLE, 1, -15, 1) - assert res == expec - - expec, res = self._setup_test("pmole", libsbml.UNIT_KIND_MOLE, 1, -12, 1) - assert res == expec - - expec, res = self._setup_test("nmole", libsbml.UNIT_KIND_MOLE, 1, -9, 1) - assert res == expec - - expec, res = self._setup_test("umole", libsbml.UNIT_KIND_MOLE, 1, -6, 1) - assert res == expec - - expec, res = self._setup_test("mmole", libsbml.UNIT_KIND_MOLE, 1, -3, 1) - assert res == expec - - expec, res = self._setup_test("cmole", libsbml.UNIT_KIND_MOLE, 1, -2, 1) - assert res == expec - - expec, res = self._setup_test("dmole", libsbml.UNIT_KIND_MOLE, 1, -1, 1) - assert res == expec - - expec, res = self._setup_test("mole", libsbml.UNIT_KIND_MOLE, 1, 1, 1) - assert res == expec - - def test_composite_units(self, creator): - """Tests rational and multiplicative units""" - - # Set up EnzymeMLDocument - enzmldoc = EnzymeMLDocument(name="Test") - - # ! Single rational - # Create result - id = creator.getUnit("mole / l", enzmldoc) - res = enzmldoc._unit_dict[id].dict(exclude={"id", "meta_id", "ontology"}) - - # Create expectation - expec = UnitDef(name="mole / l") - expec.addBaseUnit(libsbml.UnitKind_toString(libsbml.UNIT_KIND_MOLE), 1, 1, 1) - expec.addBaseUnit(libsbml.UnitKind_toString(libsbml.UNIT_KIND_LITRE), -1, 1, 1) - expec = expec.dict(exclude={"id", "meta_id", "ontology"}) - - assert res == expec - - # ! Multiple rationals - # Create result - id = creator.getUnit("mole g / l s", enzmldoc) - res = enzmldoc._unit_dict[id].dict(exclude={"id", "meta_id", "ontology"}) - - # Create expectation - expec = UnitDef(name="g mole / l s") - expec.addBaseUnit(libsbml.UnitKind_toString(libsbml.UNIT_KIND_MOLE), 1, 1, 1) - expec.addBaseUnit(libsbml.UnitKind_toString(libsbml.UNIT_KIND_GRAM), 1, 1, 1) - expec.addBaseUnit(libsbml.UnitKind_toString(libsbml.UNIT_KIND_LITRE), -1, 1, 1) - expec.addBaseUnit(libsbml.UnitKind_toString(libsbml.UNIT_KIND_SECOND), -1, 1, 1) - expec = expec.dict(exclude={"id", "meta_id", "ontology"}) - - assert res == expec - - # ! Potentiated units - # Create result - id = creator.getUnit("mole^2", enzmldoc) - res = enzmldoc._unit_dict[id].dict(exclude={"id", "meta_id", "ontology"}) - - # Create expectation - expec = UnitDef(name="mole^2") - expec.addBaseUnit(libsbml.UnitKind_toString(libsbml.UNIT_KIND_MOLE), 2, 1, 1) - expec = expec.dict(exclude={"id", "meta_id", "ontology"}) - - assert res == expec - - # ! Potentiated rational units - # Create result - id = creator.getUnit("mole^2 / l^4", enzmldoc) - res = enzmldoc._unit_dict[id].dict(exclude={"id", "meta_id", "ontology"}) - - # Create expectation - expec = UnitDef(name="mole^2 / l^4") - expec.addBaseUnit(libsbml.UnitKind_toString(libsbml.UNIT_KIND_MOLE), 2, 1, 1) - expec.addBaseUnit(libsbml.UnitKind_toString(libsbml.UNIT_KIND_LITRE), -4, 1, 1) - expec = expec.dict(exclude={"id", "meta_id", "ontology"}) - - assert res == expec - - # ! Potentiated multiple rational units - # Create result - id = creator.getUnit("mole^2 g^3 / l^4 s", enzmldoc) - res = enzmldoc._unit_dict[id].dict(exclude={"id", "meta_id", "ontology"}) - - # Create expectation - expec = UnitDef(name="g^3 mole^2 / l^4 s") - expec.addBaseUnit(libsbml.UnitKind_toString(libsbml.UNIT_KIND_MOLE), 2, 1, 1) - expec.addBaseUnit(libsbml.UnitKind_toString(libsbml.UNIT_KIND_GRAM), 3, 1, 1) - expec.addBaseUnit(libsbml.UnitKind_toString(libsbml.UNIT_KIND_LITRE), -4, 1, 1) - expec.addBaseUnit(libsbml.UnitKind_toString(libsbml.UNIT_KIND_SECOND), -1, 1, 1) - expec = expec.dict(exclude={"id", "meta_id", "ontology"}) - - assert res == expec - - # ! Helper methods - def _setup_test(self, name, kind, exponent, scale, multiplier): - """Sets up a test case to reduce boilerplate code""" - return ( - self._create_expectation(name, kind, exponent, scale, multiplier), - self._create_result(name), - ) - - @staticmethod - def _create_expectation(name, kind, exponent, scale, multiplier): - """Creates a UnitDef to compare against result of UnitCreator""" - - # Create blank unit definition - unitdef = UnitDef(name=name) - - # Add base unit - unitdef.addBaseUnit( - libsbml.UnitKind_toString(kind), exponent, scale, multiplier - ) - - return unitdef.dict(exclude={"id", "meta_id", "ontology"}) - - @staticmethod - def _create_result(name): - """Sets up UnitCreator process and return the UnitDef""" - - # Initialize blank document and UnitCreator - enzmldoc = EnzymeMLDocument(name="Test") - creator = UnitCreator() - - # Create unit and store ID - id = creator.getUnit(name, enzmldoc) - - return enzmldoc._unit_dict[id].dict(exclude={"id", "meta_id", "ontology"}) diff --git a/tests/enzymeml/tools/test_validator.py b/tests/enzymeml/tools/test_validator.py deleted file mode 100644 index 40302092..00000000 --- a/tests/enzymeml/tools/test_validator.py +++ /dev/null @@ -1,198 +0,0 @@ -import os -import yaml -import pandas as pd - -from pyenzyme.enzymeml.tools.validator import EnzymeMLValidator -from pyenzyme.enzymeml.core.enzymemldocument import EnzymeMLDocument - - -class TestValidation: - def test_positive_validation(self, enzmldoc, always_pass): - """Tests positive validation with a non-restrictive validation YAML""" - - # Set up validator - validator = EnzymeMLValidator(scheme=always_pass) - - # Perform validation - report, check = validator.validate(enzmldoc) - - assert check is True - assert not report, "Report is not empty" - - def test_negative_validation(self, enzmldoc, should_fail): - """Tests negative validation with a restrictive validation YAML""" - - # Set up validator - validator = EnzymeMLValidator(scheme=should_fail) - - # Perform validation and assertit failed - report, check = validator.validate(enzmldoc) - - assert check is False - assert report, "Report is empty" - - def test_creation_to_conversion(self): - """Tests the complete path from EnzymeMLDocument class over Spreadhseet back to dict structure""" - - # Generate sheet - sheet_path = "./tests/fixtures/" - sheet_loc = os.path.join(sheet_path, "EnzymeML_Validation_Template.xlsx") - EnzymeMLValidator.generateValidationSpreadsheet(path=sheet_path) - - assert pd.read_excel(sheet_loc).to_dict() - - # Manually create collection and compare it - # to the one that will be drawn from the sheet - collection = EnzymeMLValidator(scheme={})._get_cls_annotations( - EnzymeMLDocument, level="document" - )[0] - expected = yaml.safe_load( - EnzymeMLValidator._dump_validation_template_yaml(collection) - ) - converted = yaml.safe_load(EnzymeMLValidator.convertSheetToYAML(sheet_loc)) - - assert converted == expected, "Conversion from spreadsheet is inconsistent" - - # Remove everything - os.remove(sheet_loc) - - def test_check_unit_consistency_positive(self, enzmldoc): - """Checks whether unit consistency checkup behaves correctly - Positive case""" - - # Set vessel to "l" to get a positive result - enzmldoc.vessel_dict["v0"].unit = "l" - - # Test default mode - Positive outcome - is_consistent, report = EnzymeMLValidator.check_unit_consistency(enzmldoc) - - assert is_consistent - assert not report - - # Test strict mode - Positive outcome - is_consistent, report = EnzymeMLValidator.check_unit_consistency( - enzmldoc, strict=True - ) - - assert is_consistent - assert not report - - def test_check_unit_consistency_strict_mode_conc(self, enzmldoc): - """Test strict mode and change units for all objects of a species (should fail, default works)""" - - # Manipulate document to force inconsistency - # On species level - enzmldoc.reactant_dict["s0"].unit = "fmole / l" - - # On measurement data level - meas_data = enzmldoc.measurement_dict["m0"].getProtein("s0") - meas_data.unit = "fmole / l" - - # On replicate level - for replicate in meas_data.replicates: - replicate.data_unit = "fmole / l" - - # Perform checkup in default - Should work - is_consistent, report = EnzymeMLValidator.check_unit_consistency( - enzmldoc, strict=False - ) - - assert is_consistent - assert not report - - # Perform checkup in strict - Should fail - is_consistent, report = EnzymeMLValidator.check_unit_consistency( - enzmldoc, strict=True - ) - - assert not is_consistent - assert report == { - "conc_units": { - "fmole / l": ["s0", "m0/s0", "m0/s0/repl_s0_0"], - "mmole / l": ["p0", "m0/p0", "m0/p0/repl_p0_0", "s1", "c0"], - }, - "volume_units": { - "l": ["m0/p0", "m0/p0/repl_p0_0", "m0/s0", "m0/s0/repl_s0_0"], - "ml": ["v0"], - }, - } - - def test_check_unit_consistency_strict_mode_time(self, enzmldoc): - """Test strict mode and change units for a parameter (should fail, default works)""" - - # Change time unit of a parameter - param = enzmldoc.reaction_dict["r0"].model.parameters[0] - param.unit = "1 / min" - - # Perform checkup in default - Should work - is_consistent, report = EnzymeMLValidator.check_unit_consistency( - enzmldoc, strict=False - ) - - assert is_consistent - assert not report - - # Perform checkup in strict - Should fail - is_consistent, report = EnzymeMLValidator.check_unit_consistency( - enzmldoc, strict=True - ) - - assert not is_consistent - assert report == { - "time_units": { - "min": ["x"], - "s": ["m0/p0", "m0/p0/repl_p0_0", "m0/s0", "m0/s0/repl_s0_0"], - }, - "volume_units": { - "l": ["m0/p0", "m0/p0/repl_p0_0", "m0/s0", "m0/s0/repl_s0_0"], - "ml": ["v0"], - }, - } - - def test_check_unit_consistency_default_mode_negative(self, enzmldoc): - """Test default mode and change units for a single species (both should fail)""" - - # Change the unit of a reactant - reactant = enzmldoc.reactant_dict["s0"] - reactant.unit = "fmole / l" - - # Perform checkup in default - Should work - is_consistent, report = EnzymeMLValidator.check_unit_consistency( - enzmldoc, strict=False - ) - - assert not is_consistent - assert report == { - "s0": { - "measurements": {"m0": {"expected": "fmole / l", "given": "mmole / l"}}, - "replicates": {"m0": {"expected": "fmole / l", "given": "mmole / l"}}, - } - } - - # Perform checkup in strict - Should fail - is_consistent, report = EnzymeMLValidator.check_unit_consistency( - enzmldoc, strict=True - ) - - assert not is_consistent - assert report == { - "s0": { - "measurements": {"m0": {"expected": "fmole / l", "given": "mmole / l"}}, - "replicates": {"m0": {"expected": "fmole / l", "given": "mmole / l"}}, - }, - "conc_units": { - "fmole / l": ["s0"], - "mmole / l": [ - "p0", - "m0/p0", - "m0/p0/repl_p0_0", - "m0/s0", - "m0/s0/repl_s0_0", - "s1", - "c0", - ], - }, - "volume_units": { - "l": ["m0/p0", "m0/p0/repl_p0_0", "m0/s0", "m0/s0/repl_s0_0"], - "ml": ["v0"], - }, - } diff --git a/tests/fixtures/EnzymeML_Template_Example.xlsm 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"jan.range@simtech.uni-stuttgart.de", - "id": "a0" - } - }, - "vessels": { - "v0": { - "name": "Vessel", - "volume": 10.0, - "unit": "ml", - "constant": true, - "id": "v0", - "meta_id": "METAID_V0" - } - }, - "proteins": { - "p0": { - "name": "Protein", - "id": "p0", - "vessel_id": "v0", - "meta_id": "METAID_P0", - "init_conc": 10.0, - "constant": true, - "boundary": false, - "unit": "mmole / l", - "ontology": "SBO:0000252", - "sequence": "HLPMV", - "ecnumber": "1.1.1.1", - "organism": "E.coli", - "organism_tax_id": "27367", - "uniprotid": "P02357" - } - }, - "complexes": { - "c0": { - "name": "Complex", - "id": "c0", - "vessel_id": "v0", - "meta_id": "METAID_C0", - "init_conc": 10.0, - "constant": false, - "boundary": false, - "unit": "mmole / l", - "ontology": "SBO:0000296", - "participants": [ - "s0", "p0" - ] - } - }, - "reactants": { - "s0": { - "name": "Reactant", - "id": "s0", - "vessel_id": "v0", - "meta_id": "METAID_S0", - "init_conc": 10.0, - "constant": false, - "boundary": false, - "unit": "mmole / l", - "ontology": "SBO:0000247", - "smiles": "[H]O[H]", - "inchi": "InChI:HJJH", - "chebi_id": "CHEBI:09823" - }, - "s1": { - "name": "Reactant2", - "id": "s1", - "vessel_id": "v0", - "meta_id": "METAID_S0", - "init_conc": 10.0, - "constant": false, - "boundary": false, - "unit": "mmole / l", - "ontology": "SBO:0000247", - "smiles": "[H]O[H]", - "inchi": "InChI:HJJH", - "chebi_id": "CHEBI:09823" - } - }, - "reactions": { - "r0": { - "name": "string", - "reversible": true, - "temperature": 200, - "temperature_unit": "K", - "ph": 7.0, - "ontology": "SBO:0000176", - "id": "r0", - "meta_id": "METAID_R0", - "model": { - "name": "Menten", - "equation": "s0 * x", - "parameters": [ - { - "name": "x", - "value": 10.0, - "unit": "1 / s", - "stdev": 0.1, - "initial_value": 10.0, - "upper": 11.0, - "lower": 9.0 - } - ] - }, - "educts": [ - { - "species_id": "s0", - "stoichiometry": 1.0, - "constant": false, - "ontology": "SBO:0000015" - } - ], - "products": [ - { - "species_id": "s1", - "stoichiometry": 1.0, - "constant": false, - "ontology": "SBO:0000011" - } - ], - "modifiers": [ - { - "species_id": "p0", - "stoichiometry": 1.0, - "constant": true, - "ontology": "SBO:0000013" - } - ] - } - }, - "measurements": { - "m0": { - "name": "SomeMeasurement", - "temperature": 4.0, - "temperature_unit": "K", - "ph": 7.0, - "species_dict": { - "reactants": { - "s0": { - "init_conc": 10.0, - "unit": "mmole / l", - "measurement_id": "m0", - "reactant_id": "s0", - "replicates": [ - { - "id": "repl_s0_0", - "species_id": "s0", - "data_type": "conc", - "data_unit": "mmole / l", - "time_unit": "s", - "time": [ - 1.0, - 2.0, - 3.0, - 4.0 - ], - "data": [ - 1.0, - 1.0, - 1.0, - 1.0 - ], - "is_calculated": false - } - ] - } - }, - "proteins": { - "p0": { - "init_conc": 10.0, - "unit": "mmole / l", - "measurement_id": "m0", - "protein_id": "p0", - "replicates": [ - { - "id": "repl_p0_0", - "species_id": "p0", - "data_type": "conc", - "data_unit": "mmole / l", - "time_unit": "s", - "time": [ - 1.0, - 2.0, - 3.0, - 4.0 - ], - "data": [ - 1.0, - 1.0, - 1.0, - 1.0 - ], - "is_calculated": false - } - ] - } - } - }, - "global_time": [ - 1.0, - 2.0, - 3.0, - 4.0 - ], - "global_time_unit": "s", - "id": "m0" - } - } -} \ No newline at end of file diff --git a/tests/fixtures/measurement_data_object.json b/tests/fixtures/measurement_data_object.json deleted file mode 100644 index 3f1d0c86..00000000 --- a/tests/fixtures/measurement_data_object.json +++ /dev/null @@ -1,30 +0,0 @@ -{ - "init_conc": 10.0, - "unit": "mmole / l", - "measurement_id": "m0", - "reactant_id": "s0", - "replicates": [ - { - "id": "repl_s0_0", - "species_id": "s0", - "data_type": "conc", - "data_unit": "mmole / l", - "time_unit": "s", - "time": [ - 1.0, - 2.0, - 3.0, - 4.0 - ], - "data": [ - 1.0, - 1.0, - 1.0, - 1.0 - ], - "is_calculated": false, - "uri": "URI", - "creator_id": "a0" - } - ] -} \ No newline at end of file diff --git a/tests/fixtures/measurement_object.json b/tests/fixtures/measurement_object.json deleted file mode 100644 index 98a30e40..00000000 --- a/tests/fixtures/measurement_object.json +++ /dev/null @@ -1,82 +0,0 @@ -{ - "name": "SomeMeasurement", - "temperature": 4.0, - "temperature_unit": "C", - "ph": 7.0, - "species_dict": { - "reactants": { - "s0": { - "init_conc": 10.0, - "unit": "mmole / l", - "measurement_id": "m0", - "reactant_id": "s0", - "replicates": [ - { - "id": "repl_s0_0", - "species_id": "s0", - "data_type": "conc", - "data_unit": "mmole / l", - "time_unit": "s", - "time": [ - 1.0, - 2.0, - 3.0, - 4.0 - ], - "data": [ - 1.0, - 1.0, - 1.0, - 1.0 - ], - "is_calculated": false, - "uri": "URI", - "creator_id": "a0" - } - ] - } - }, - "proteins": { - "p0": { - "init_conc": 10.0, - "unit": "mmole / l", - "measurement_id": "m0", - "protein_id": "p0", - "replicates": [ - { - "id": "repl_p0_0", - "species_id": "p0", - "data_type": "conc", - "data_unit": "mmole / l", - "time_unit": "s", - "time": [ - 1.0, - 2.0, - 3.0, - 4.0 - ], - "data": [ - 1.0, - 1.0, - 1.0, - 1.0 - ], - "is_calculated": false, - "uri": "URI", - "creator_id": "a0" - } - ] - } - } - }, - "global_time": [ - 1.0, - 2.0, - 3.0, - 4.0 - ], - "global_time_unit": "s", - "id": "m0", - "uri": "URI", - "creator_id": "a0" -} \ No newline at end of file diff --git a/tests/fixtures/reaction_object.json b/tests/fixtures/reaction_object.json deleted file mode 100644 index be32b0ac..00000000 --- a/tests/fixtures/reaction_object.json +++ /dev/null @@ -1,49 +0,0 @@ -{ - "name": "SomeReaction", - "reversible": true, - "temperature": 200, - "temperature_unit": "C", - "ph": 7.0, - "ontology": "SBO:0000176", - "id": "r0", - "meta_id": "METAID_R0", - "uri": "URI", - "creator_id": "a0", - "model": { - "name": "Menten", - "equation": "s0 * x", - "parameters": [ - { - "name": "x", - "value": 10.0, - "unit": "1 / s", - "stdev": 0.1, - "initial_value": 10.0 - } - ] - }, - "educts": [ - { - "species_id": "s0", - "stoichiometry": 1.0, - "constant": false, - "ontology": "SBO:0000015" - } - ], - "products": [ - { - "species_id": "s1", - "stoichiometry": 1.0, - "constant": false, - "ontology": "SBO:0000011" - } - ], - "modifiers": [ - { - "species_id": "p0", - "stoichiometry": 1.0, - "constant": true, - "ontology": "SBO:0000013" - } - ] -} diff --git a/tests/fixtures/replicate_object.json b/tests/fixtures/replicate_object.json deleted file mode 100644 index 4e995bea..00000000 --- a/tests/fixtures/replicate_object.json +++ /dev/null @@ -1,22 +0,0 @@ -{ - "id": "repl_s0_0", - "species_id": "s0", - "data_type": "conc", - "data_unit": "mmole / l", - "time_unit": "s", - "time": [ - 1.0, - 2.0, - 3.0, - 4.0 - ], - "data": [ - 1.0, - 1.0, - 1.0, - 1.0 - ], - "is_calculated": false, - "uri": "URI", - "creator_id": "a0" -} \ No newline at end of file diff --git a/tests/fixtures/template_result.json b/tests/fixtures/template_result.json deleted file mode 100644 index 86bffa74..00000000 --- a/tests/fixtures/template_result.json +++ /dev/null @@ -1,479 +0,0 @@ -{ - "name": "Pyruvate Decarboxylation", - "level": 3, - "version": 2, - "pubmedid": "https://identifiers.org/pubmed:pmid1234", - "url": "http://www.someurl.com", - "created": "2021-03-17 00:00:00", - "creators": { - "a0": { - "given_name": "Jan", - "family_name": "Range", - "mail": "jan.range@simtech.uni-stuttgart.de", - "id": "a0" - } - }, - "vessels": { - "v0": { - "name": "Eppendorf Tube", - "volume": 1000.0, - "unit": "ul", - "constant": true, - "meta_id": "METAID_V0", - "id": "v0" - } - }, - "proteins": { - "p0": { - "name": "Pyruvate decarboxylase isozyme 1", - "meta_id": "METAID_P0", - "id": "p0", - "vessel_id": "v0", - "constant": true, - "boundary": false, - "ontology": "SBO:0000252", - "sequence": "MSEITLGKYLFERLKQVNVNTVFGLPGDFNLSLLDKIYEVEGMRWAGNANELNAAYAADGYARIKGMSCIITTFGVGELSALNGIAGSYAEHVGVLHVVGVPSISAQAKQLLLHHTLGNGDFTVFHRMSANISETTAMITDIATAPAEIDRCIRTTYVTQRPVYLGLPANLVDLNVPAKLLQTPIDMSLKPNDAESEKEVIDTILALVKDAKNPVILADACCSRHDVKAETKKLIDLTQFPAFVTPMGKGSIDEQHPRYGGVYVGTLSKPEVKEAVESADLILSVGALLSDFNTGSFSYSYKTKNIVEFHSDHMKIRNATFPGVQMKFVLQKLLTTIADAAKGYKPVAVPARTPANAAVPASTPLKQEWMWNQLGNFLQEGDVVIAETGTSAFGINQTTFPNNTYGISQVLWGSIGFTTGATLGAAFAAEEIDPKKRVILFIGDGSLQLTVQEISTMIRWGLKPYLFVLNNDGYTIEKLIHGPKAQYNEIQGWDHLSLLPTFGAKDYETHRVATTGEWDKLTQDKSFNDNSKIRMIEIMLPVFDAPQNLVEQAKLTAATNAKQ", - "ecnumber": "4.1.1.1", - "organism": "Saccharomyces cerevisiae" - } - }, - "complexes": {}, - "reactants": { - "s0": { - "name": "Pyruvate", - "meta_id": "METAID_S0", - "id": "s0", - "vessel_id": "v0", - "constant": false, - "boundary": false, - "ontology": "SBO:0000247", - "smiles": "CC(=O)C(=O)[O-]", - "inchi": "InChI=1S/C3H4O3/c1-2(4)3(5)6/h1H3,(H,5,6)/p-1" - }, - "s1": { - "name": "Acetaldehyde", - "meta_id": "METAID_S1", - "id": "s1", - "vessel_id": "v0", - "constant": false, - "boundary": false, - "ontology": "SBO:0000247", - "smiles": "CC=O" - }, - "s2": { - "name": "CO2", - "meta_id": "METAID_S2", - "id": "s2", - "vessel_id": "v0", - "constant": false, - "boundary": false, - "ontology": "SBO:0000247", - "inchi": "InChI=1S/CO2/c2-1-3" - } - }, - "reactions": { - "r0": { - "name": "Pyruvate decarboxylation", - "reversible": true, - "temperature": 309.15, - "temperature_unit": "K", - "ph": 6.5, - "ontology": "SBO:0000176", - "meta_id": "METAID_R0", - "id": "r0", - "educts": [ - { - "species_id": "s0", - "stoichiometry": 1.0, - "constant": false, - "ontology": "SBO:0000015" - } - ], - "products": [ - { - "species_id": "s1", - "stoichiometry": 1.0, - "constant": false, - "ontology": "SBO:0000011" - }, - { - "species_id": "s2", - "stoichiometry": 1.0, - "constant": false, - "ontology": "SBO:0000011" - } - ], - "modifiers": [ - { - "species_id": "p0", - "stoichiometry": 1.0, - "constant": false, - "ontology": "SBO:0000013" - }, - { - "species_id": "s0", - "stoichiometry": 1.0, - "constant": false, - "ontology": "SBO:0000013" - } - ] - } - }, - "measurements": { - "m0": { - "name": "1.0", - "species_dict": { - "proteins": { - "p0": { - "init_conc": 100.0, - "unit": "umole / l", - "measurement_id": "m0", - "protein_id": "p0", - "replicates": [] - } - }, - "reactants": { - "s0": { - "init_conc": 1000.0, - "unit": "mmole / l", - "measurement_id": "m0", - "reactant_id": "s0", - "replicates": [ - { - "id": "replica_0_Pyruvate_1.0", - "species_id": "s0", - "measurement_id": "m0", - "data_type": "abs", - "data_unit": "mmole / l", - "time_unit": "sec", - "time": [ - 0.0, - 60.0, - 120.0, - 180.0, - 240.0, - 300.0, - 360.0, - 420.0, - 480.0, - 540.0 - ], - "data": [ - 0.1, - 0.0409737291, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0, - 0.0 - ], - "is_calculated": false - }, - { - "id": "replica_1_Pyruvate_1.0", - "species_id": "s0", - "measurement_id": "m0", - "data_type": "conc", - 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0.9400679484, - 0.8801403665, - 0.8202178834, - 0.7603012714999999, - 0.7003914925, - 0.6404897662, - 0.5805976704, - 0.5207172976000001, - 0.4608515054 - ], - "is_calculated": false - }, - { - "id": "replica_1_Pyruvate_3.0", - "species_id": "s0", - "measurement_id": "m2", - "data_type": "conc", - "data_unit": "mmole / l", - "time_unit": "sec", - "time": [ - 0.0, - 60.0, - 120.0, - 180.0, - 240.0, - 300.0, - 360.0, - 420.0, - 480.0, - 540.0 - ], - "data": [ - 1000.0, - 940.0679484, - 880.1403665, - 820.2178834, - 760.3012715, - 700.3914925, - 640.4897662, - 580.5976704, - 520.7172976, - 460.8515054 - ], - "is_calculated": false - } - ] - }, - "s2": { - "init_conc": 0.0, - "unit": "mmole / l", - "measurement_id": "m2", - "reactant_id": "s2", - "replicates": [] - }, - "s1": { - "init_conc": 0.0, - "unit": "mmole / l", - "measurement_id": "m2", - "reactant_id": "s1", - "replicates": [] - } - } - }, - "global_time": [ - 0.0, - 60.0, - 120.0, - 180.0, - 240.0, - 300.0, - 360.0, - 420.0, - 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-if not os.path.exists(temp_dir): - os.mkdir(temp_dir) - - -class TestTlCopasi(unittest.TestCase): - - example_file = os.path.join(this_dir, '..', 'examples', 'ThinLayers', 'COPASI', '3IZNOK_Simulated.omex') - - def test_copasi_version(self): - self.assertGreaterEqual(int(COPASI.CVersion.VERSION.getVersionDevel()), 214, "Need newer COPASI version") - - def test_example_file_exists(self): - self.assertTrue(os.path.exists(self.example_file)) - - def test_example(self): - thin_layer = ThinLayerCopasi(path=self.example_file, outdir=temp_dir) - self.assertEqual(thin_layer.reaction_data['r0'][0].parameters[0].name, 'k_cat') - self.assertEqual(thin_layer.reaction_data['r0'][0].parameters[0].value, 0.015) - self.assertEqual(thin_layer.reaction_data['r0'][0].parameters[1].name, 'k_m') - self.assertEqual(thin_layer.reaction_data['r0'][0].parameters[1].value, 0.01) - thin_layer.optimize() - new_doc = thin_layer.write() - - -class TestTlCopasiENO(unittest.TestCase): - example_file = os.path.join(this_dir, '..', 'examples', 'ThinLayers', 'COPASI', 'PGM-ENO.omex') - - def test_copasi_version(self): - self.assertGreaterEqual(int(COPASI.CVersion.VERSION.getVersionDevel()), 214, "Need newer COPASI version") - - def test_example_file_exists(self): - self.assertTrue(os.path.exists(self.example_file)) - - def test_example(self): - thin_layer = ThinLayerCopasi(path=self.example_file, outdir=temp_dir) - fit_items = thin_layer.get_fit_parameters() - initial_values = [val['start'] for val in fit_items] - result = thin_layer.optimize().reset_index().to_dict(orient='records') - new_values = [val['value'] for val in result] - self.assertNotEqual(initial_values, new_values) - - -class TestModel4(unittest.TestCase): - example_file = os.path.join(this_dir, '..', 'examples', 'ThinLayers', 'COPASI', 'Model_4.omex') - init_file = os.path.join(this_dir, '..', 'examples', 'ThinLayers', 'COPASI', 'Model_4_init.yaml') - - def test_copasi_version(self): - self.assertGreaterEqual(int(COPASI.CVersion.VERSION.getVersionDevel()), 214, "Need newer COPASI version") - - def test_example_file_exists(self): - self.assertTrue(os.path.exists(self.example_file)) - self.assertTrue(os.path.exists(self.init_file)) - - def test_example(self): - thin_layer = ThinLayerCopasi(path=self.example_file, outdir=temp_dir, init_file=self.init_file) - thin_layer.enzmldoc.toFile('test') - fit_items = thin_layer.get_fit_parameters() - initial_values = [val['start'] for val in fit_items] - thin_layer.task.setMethodType(COPASI.CTaskEnum.Method_LevenbergMarquardt) - thin_layer.optimize() - new_values = [val for val in thin_layer.problem.getSolutionVariables()] - self.assertNotEqual(initial_values, new_values) - new_doc = thin_layer.write() - new_doc.toFile('Test') - self.assertIsNotNone(new_doc) diff --git a/tests/thinlayers/__init__.py b/tests/thinlayers/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/tests/write_test.omex 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zajYaotO%uvq=>YHh?fgG59v`Tk?S*8=PRR>WTN&cNU#fO^;0(MRm2^ogJKu3@yR5^SCtAkDKp7*ZRz&dlX-zv3hd&+S$VVM6=db{&8tH( zX`T~}7c%6>Uj?hbbEJ|OXu93AcXth5O?)sF7XviNlp(7uJBi6m;&uYfJnECZJXm?0 zu6uAQS-V02Q@nMv_Wxd#Z#D;T6E^?8eyz>Fv%k+?KcRoI>o?W=KPIu?!Qa#HZ!iq+ zmu&nU{5=c*277M6zfAYja{r6`Y0$q(tD8{$i~N^ee`kL`HGi|@H@`Cfk23^Q1cH8k P1>M~GH(S9<^z-c>lyA9w From 5dad7336a3cc35a7af8cb7b2318b7694041332c0 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 22 Jun 2024 17:55:50 +0200 Subject: [PATCH 004/172] add migrated lib --- pyenzyme/equations/__init__.py | 2 + pyenzyme/equations/_chem.py | 167 +++ pyenzyme/equations/_math.py | 189 +++ pyenzyme/logging.py | 45 + pyenzyme/model.py | 2373 ++++++++++++++++++++++++++++++++ pyenzyme/rdf.py | 34 + pyenzyme/sbml/__init__.py | 3 + pyenzyme/sbml/mappings.toml | 31 + pyenzyme/sbml/serializer.py | 460 +++++++ pyenzyme/sbml/validation.py | 157 +++ pyenzyme/tabular.py | 323 +++++ pyenzyme/tools.py | 128 ++ pyenzyme/units/__init__.py | 1 + pyenzyme/units/ontomaps.toml | 40 + pyenzyme/units/predefined.py | 146 ++ pyenzyme/units/units.py | 367 +++++ pyenzyme/xmlutils.py | 78 ++ 17 files changed, 4544 insertions(+) create mode 100644 pyenzyme/equations/__init__.py create mode 100644 pyenzyme/equations/_chem.py create mode 100644 pyenzyme/equations/_math.py create mode 100644 pyenzyme/logging.py create mode 100644 pyenzyme/model.py create mode 100644 pyenzyme/rdf.py create mode 100644 pyenzyme/sbml/__init__.py create mode 100644 pyenzyme/sbml/mappings.toml create mode 100644 pyenzyme/sbml/serializer.py create mode 100644 pyenzyme/sbml/validation.py create mode 100644 pyenzyme/tabular.py create mode 100644 pyenzyme/tools.py create mode 100644 pyenzyme/units/__init__.py create mode 100644 pyenzyme/units/ontomaps.toml create mode 100644 pyenzyme/units/predefined.py create mode 100644 pyenzyme/units/units.py create mode 100644 pyenzyme/xmlutils.py diff --git a/pyenzyme/equations/__init__.py b/pyenzyme/equations/__init__.py new file mode 100644 index 00000000..21bae2f4 --- /dev/null +++ b/pyenzyme/equations/__init__.py @@ -0,0 +1,2 @@ +from ._math import build_equation, build_equations # noqa: F401 +from ._chem import build_reaction, build_reactions # noqa: F401 diff --git a/pyenzyme/equations/_chem.py b/pyenzyme/equations/_chem.py new file mode 100644 index 00000000..0c3b74dd --- /dev/null +++ b/pyenzyme/equations/_chem.py @@ -0,0 +1,167 @@ +import re +from enum import Enum + +from pyenzyme.model import Equation, ReactionElement, Reaction + +ELEMENT_PATTERN = r"(\d*)\s?([A-Za-z\d]+)" + + +class EquationSide(Enum): + LEFT = -1 + RIGHT = 1 + + +class EqDirection(Enum): + """Enum for the type of reaction. + + Returns true if the reaction is reversible, false otherwise. + + Attributes: + IRREVERSIBLE: A reaction that only goes in one direction. + REVERSIBLE: A reaction that can go in both directions. + """ + + IRREVERSIBLE = False + REVERSIBLE = True + + +def build_reactions( + *equations: str, + modifiers: dict[str, list[str]] = {}, +) -> list[Reaction]: + """Builds a list of reaction objects from a list of string representations. + + Args: + *equations (list[str]): A list of string representations of the reactions + + Returns: + list[Reaction]: A list of reaction objects + + Example: + >> reactions("2A --> B", "A + B <=> C") + + Raises: + ValueError: If the reaction direction is not valid + AssertionError: If the species is not set + """ + + reactions = [ + build_reaction( + id=f"r{i}", + name=f"Reaction {i}", + scheme=equation, + ) # type: ignore + for i, equation in enumerate(equations, start=1) + ] + + for id, modifier in modifiers.items(): + try: + reaction = next(r for r in reactions if r.id == id) + except StopIteration: + raise ValueError(f"Reaction with id {id} not found in list of reactions") + + reaction.modifiers = modifier + + return reactions + + +def build_reaction( + name: str, + scheme: str, + id: str | None = None, + kinetic_law: Equation | None = None, + modifiers: list[str] = [], +): + """Builds a reaction object from a string representation. + + Args: + id (str): The id of the reaction + name (str): The name of the reaction + scheme (str): The equation of the reaction + modifiers (list[str], optional): A list of modifiers for the reaction. Defaults to []. + + Returns: + Reaction: A reaction object + + Example: + + >> reaction("R1", "Reaction 1", "2A --> B") # Irrversible reaction + >> reaction("R2", "Reaction 2", "A + B <=> C") # Reversible reaction + >> reaction("R2", "Reaction 2", "A + B <-> C") # Reversible reaction + + Raises: + ValueError: If the reaction direction is not valid + AssertionError: If the species is not set + + """ + + if not id: + id = name + + left, right, reversible = _extract_left_right(scheme) + + # Initialize and build the reaction object + reaction = Reaction( + name=name, + id=id, + reversible=reversible, + modifiers=modifiers, + ) + reaction.species += _extract_elements(left, EquationSide.LEFT) + reaction.species += _extract_elements(right, EquationSide.RIGHT) + + return reaction + + +def _extract_left_right(reaction: str) -> tuple[str, str, bool]: + """Extracts the left and right side of a reaction string. + + Args: + reaction (str): The reaction string + + Returns: + tuple[str, str, bool]: A tuple containing the left side, right side, and the reaction direction + """ + + if "->" in reaction: + direction = EqDirection.IRREVERSIBLE + sep = "->" + elif "<=>" in reaction: + direction = EqDirection.REVERSIBLE + sep = "<=>" + else: + raise ValueError( + "No valid reaction direction found in equation. Use ->, <->, or <=>." + ) + + left, right = reaction.split(sep, 1) + + return left.strip(), right.strip(), direction.value + + +def _extract_elements(side_string: str, side: EquationSide) -> list[ReactionElement]: + """Extracts the elements from a reaction string.""" + elements = [] + for element in side_string.split("+"): + element = re.search(ELEMENT_PATTERN, element.strip()) + stoich, species = element.groups() # type: ignore + + elements.append(_create_reaction_element(stoich, species, side)) + + return elements + + +def _create_reaction_element( + stoich: str | float, + species: str, + side: EquationSide, +) -> ReactionElement: + assert species, "Species must be set" + + if stoich == "": + stoich = 1.0 + + return ReactionElement( + stoichiometry=float(stoich) * side.value, + species_id=species, + ) diff --git a/pyenzyme/equations/_math.py b/pyenzyme/equations/_math.py new file mode 100644 index 00000000..ec7f7231 --- /dev/null +++ b/pyenzyme/equations/_math.py @@ -0,0 +1,189 @@ +import re +import rich +from loguru import logger +from pyenzyme.logging import add_logger +from pyenzyme.model import ( + EnzymeMLDocument, + Equation, + EqVariable, + EqParameter, + EquationType, + UnitDefinition, +) +from sympy import sympify + +INIT_ASSIGNMENT_PATTERN = r"^[A-Za-z][A-Za-z\_]*" +DERIVATIVE_PATTERN = r"([A-Za-z0-9\_]+)\'\(t\)" +VARIABLE_PATTERN = r"([A-Za-z0-9\_]+)\'?\(t\)" +PARAMETER_PATTERN = r"([A-Za-z0-9\_]+)" +REPLACE_PATTERN = r"\(t\)|\'" +ELEMENTAL_FUNCTIONS = ["exp", "log", "sin", "cos", "tan", "sqrt", "abs"] + + +def build_equations( + *equations: str, + units: list[UnitDefinition], + enzmldoc: EnzymeMLDocument | None = None, + unit_mapping: dict[str, UnitDefinition] = {}, +) -> list[Equation]: + """Builds a list of Equation objects from a list of string representations. + + Args: + *equations (list[str]): A list of string representations of the ODEs + + Returns: + list[ODE]: A list of ODE objects + + Example: + >> build_equations("s1'(t) = 2 * s2(t)", "s2'(t) = 3 * s1(t)") + """ + + assert all(isinstance(eq, str) for eq in equations), "All equations must be strings" + assert all( + isinstance(unit, UnitDefinition) for unit in units + ), "All units must be UnitDefinition objects" + assert len(equations) == len( + units + ), "The number of equations must match the number of units" + + return [build_equation(eq, unit, enzmldoc) for eq, unit in zip(equations, units)] # type: ignore + + +def build_equation( + equation: str, + unit: UnitDefinition, + enzmldoc: EnzymeMLDocument | None = None, + unit_mapping: dict[str, UnitDefinition] = {}, +) -> Equation: + """Builds an equation object from a string + + This function takes an equation string and converts it into an ODE object. + The equation string should be in the form of "s1'(t) = 2 * s2(t)" where + there is a left and right side of the equation. + + Args: + equation (str): The equation to be converted into an ODE object + enzmldoc (EnzymeMLDocument): The EnzymeMLDocument used to transfer parameters to + + Returns: + ODE: The ODE object + + Example: + + >> eq = "s1'(t) = 2 * s2(t)" + >> ode = ode(eq) + + """ + + left, right = _extract_sides(equation) + variables = set(re.findall(VARIABLE_PATTERN, right)) + + if bool(re.match(DERIVATIVE_PATTERN, left)): + equation_type = EquationType.ODE + elif bool(re.match(VARIABLE_PATTERN, left)): + equation_type = EquationType.ASSIGNMENT + elif bool(re.match(INIT_ASSIGNMENT_PATTERN, left)): + equation_type = EquationType.INITIAL_ASSIGNMENT + elif left.strip() == "": + equation_type = EquationType.RATE_LAW + else: + rich.print( + "\n".join( + [ + "There are three types equations that follow a certain pattern:\n", + " [bold]1. ODE: y'(t) = 2 * x(t)[/bold]", + " [bold]2. Assignment: y(t) = 2 * x(t)[/bold]", + " [bold]3. Initial Assignment: y = 2 * x(t)[/bold]", + "\nPlease make sure your equation follows one of these patterns.\n", + ] + ) + ) + raise ValueError("Equation type not recognized") + + right = sympify(_clean_and_trim(right)) + left = _clean_and_trim(left) + parameters = {str(symbol) for symbol in right.free_symbols} - variables + + if equation_type == EquationType.ASSIGNMENT: + parameters = parameters.union({left}) + + eq = Equation( + species_id=left, + equation=str(right), + variables=[_create_variable(name) for name in variables], + parameters=[_create_parameter(name) for name in parameters], + equation_type=equation_type, + unit=unit, + ) + + if enzmldoc: + [_add_to_parameters(enzmldoc, param.name, param.id) for param in eq.parameters] + _add_units_to_parameters(enzmldoc, unit_mapping) + + return eq + + +def _extract_sides(equation: str) -> tuple[str, str]: + left, right, *_ = equation.split("=") + + if right == "": + raise ValueError("Equation must contain a right-hand side") + if left == "": + raise ValueError("Equation must contain a left-hand side") + + return left, right + + +def _clean_and_trim(eq: str) -> str: + vars = re.findall(VARIABLE_PATTERN, eq) + for var in vars: + var = var.replace("'", "") + if var not in ELEMENTAL_FUNCTIONS: + eq = re.sub(rf"{var}\'?\(t\)", var, eq) + + return eq.strip() + + +def _create_parameter(name: str) -> EqParameter: + return EqParameter(id=name, name=name, symbol=name) + + +def _create_variable(name: str) -> EqVariable: + return EqVariable(id=name, name=name, symbol=name) + + +def _add_to_parameters(enzmldoc: EnzymeMLDocument, name: str, id: str): + """Adds a parameter to the EnzymeMLDocument""" + + add_logger("ENZML") + + if enzmldoc.filter_parameters(name=name): + logger.info(f"Parameter {name} already exists in EnzymeMLDocument. Skipping...") + + return + + enzmldoc.add_to_parameters(name=name, id=name) # type: ignore + + +def _add_units_to_parameters( + doc: EnzymeMLDocument, + unit_mapping: dict[str, UnitDefinition], +): + """Adds units to the parameters in the EnzymeMLDocument""" + + add_logger("ENZML") + + has_error = False + + for param, unit in unit_mapping.items(): + if unit.__class__.__name__ != "UnitDefinition": + logger.error(f"Unit {unit} is not a UnitDefinition object. Skipping...") + has_error = True + continue + + doc.filter_parameters(name=param)[0].unit = unit + + if has_error: + raise ValueError( + "Assigning units to parameters failed. Check the logs for more info." + ) diff --git a/pyenzyme/logging.py b/pyenzyme/logging.py new file mode 100644 index 00000000..781ef209 --- /dev/null +++ b/pyenzyme/logging.py @@ -0,0 +1,45 @@ +import sys +from loguru import logger + + +def add_logger( + name: str, + channel=sys.stderr, +) -> None: + """Initialize the logger with the given name and module. + + Args: + name (str): The name of the logger. + channel (str, optional): The channel to log to. Defaults to sys.stderr. + + Returns: + None + + Example: + Will create a logger with the name "SBML" and log to the file "file.log": + + >> add_logger("SBML", "test", "file.log") + + Will create a logger with the name "SBML" and log to the standard error channel: + + >> add_logger("SBML", "test") + + Will create a logger with the name "SBML" and log to the standard output channel: + + >> import sys + >> add_logger("SBML", "test", sys.stdout) + + """ + format = ( + " %s\t{module: >10}\t{level}: {message}" % name + ) + + if isinstance(channel, str): + format = "{time:YYYY-MM-DD HH:mm:ss} %s {level}: {message}" % name + + logger.remove() + logger.add( + channel, + colorize=True, + format=format, + ) diff --git a/pyenzyme/model.py b/pyenzyme/model.py new file mode 100644 index 00000000..a2553787 --- /dev/null +++ b/pyenzyme/model.py @@ -0,0 +1,2373 @@ +## This is a generated file. Do not modify it manually! + +from __future__ import annotations +from pydantic import BaseModel, Field, ConfigDict +from typing import Optional, Generic, TypeVar +from enum import Enum +from uuid import uuid4 + +# Filter Wrapper definition used to filter a list of objects +# based on their attributes +Cls = TypeVar("Cls") + +class FilterWrapper(Generic[Cls]): + """Wrapper class to filter a list of objects based on their attributes""" + + def __init__(self, collection: list[Cls], **kwargs): + self.collection = collection + self.kwargs = kwargs + + def filter(self) -> list[Cls]: + for key, value in self.kwargs.items(): + self.collection = [ + item for item in self.collection if self._fetch_attr(key, item) == value + ] + return self.collection + + def _fetch_attr(self, name: str, item: Cls): + try: + return getattr(item, name) + except AttributeError: + raise AttributeError(f"{item} does not have attribute {name}") + + +# JSON-LD Helper Functions +def add_namespace(obj, prefix: str | None, iri: str | None): + """Adds a namespace to the JSON-LD context + + Args: + prefix (str): The prefix to add + iri (str): The IRI to add + """ + if prefix is None and iri is None: + return + elif prefix and iri is None: + raise ValueError("If prefix is provided, iri must also be provided") + elif iri and prefix is None: + raise ValueError("If iri is provided, prefix must also be provided") + + obj.ld_context[prefix] = iri # type: ignore + +def validate_prefix(term: str | dict, prefix: str): + """Validates that a term is prefixed with a given prefix + + Args: + term (str): The term to validate + prefix (str): The prefix to validate against + + Returns: + bool: True if the term is prefixed with the prefix, False otherwise + """ + + if isinstance(term, dict) and not term["@id"].startswith(prefix + ":"): + raise ValueError(f"Term {term} is not prefixed with {prefix}") + elif isinstance(term, str) and not term.startswith(prefix + ":"): + raise ValueError(f"Term {term} is not prefixed with {prefix}") + +# Model Definitions + +class EnzymeMLDocument(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + name: str + references: list[str] = Field(default_factory=list) + created: Optional[str] = Field(default=None) + modified: Optional[str] = Field(default=None) + creators: list[Creator] = Field(default_factory=list) + vessels: list[Vessel] = Field(default_factory=list) + proteins: list[Protein] = Field(default_factory=list) + complexes: list[Complex] = Field(default_factory=list) + small_molecules: list[SmallMolecule] = Field(default_factory=list) + reactions: list[Reaction] = Field(default_factory=list) + measurements: list[Measurement] = Field(default_factory=list) + equations: list[Equation] = Field(default_factory=list) + parameters: list[Parameter] = Field(default_factory=list) + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:EnzymeMLDocument", + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "name": "schema:title", + "references": { + "@id": "schema:citation", + "@type": "@id", + }, + "created": "schema:dateCreated", + "modified": "schema:dateModified", + "creators": "schema:creator", + } + ) + + def filter_creators(self, **kwargs) -> list[Creator]: + """Filters the creators attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Creator]: The filtered list of Creator objects + """ + + return FilterWrapper[Creator](self.creators, **kwargs).filter() + + def filter_vessels(self, **kwargs) -> list[Vessel]: + """Filters the vessels attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Vessel]: The filtered list of Vessel objects + """ + + return FilterWrapper[Vessel](self.vessels, **kwargs).filter() + + def filter_proteins(self, **kwargs) -> list[Protein]: + """Filters the proteins attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Protein]: The filtered list of Protein objects + """ + + return FilterWrapper[Protein](self.proteins, **kwargs).filter() + + def filter_complexes(self, **kwargs) -> list[Complex]: + """Filters the complexes attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Complex]: The filtered list of Complex objects + """ + + return FilterWrapper[Complex](self.complexes, **kwargs).filter() + + def filter_small_molecules(self, **kwargs) -> list[SmallMolecule]: + """Filters the small_molecules attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[SmallMolecule]: The filtered list of SmallMolecule objects + """ + + return FilterWrapper[SmallMolecule](self.small_molecules, **kwargs).filter() + + def filter_reactions(self, **kwargs) -> list[Reaction]: + """Filters the reactions attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Reaction]: The filtered list of Reaction objects + """ + + return FilterWrapper[Reaction](self.reactions, **kwargs).filter() + + def filter_measurements(self, **kwargs) -> list[Measurement]: + """Filters the measurements attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Measurement]: The filtered list of Measurement objects + """ + + return FilterWrapper[Measurement](self.measurements, **kwargs).filter() + + def filter_equations(self, **kwargs) -> list[Equation]: + """Filters the equations attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Equation]: The filtered list of Equation objects + """ + + return FilterWrapper[Equation](self.equations, **kwargs).filter() + + def filter_parameters(self, **kwargs) -> list[Parameter]: + """Filters the parameters attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Parameter]: The filtered list of Parameter objects + """ + + return FilterWrapper[Parameter](self.parameters, **kwargs).filter() + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + + def add_to_creators( + self, + given_name: str, + family_name: str, + mail: str, + **kwargs, + ): + params = { + "given_name": given_name, + "family_name": family_name, + "mail": mail + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.creators.append( + Creator(**params) + ) + + return self.creators[-1] + + + def add_to_vessels( + self, + id: str, + name: str, + volume: float, + unit: UnitDefinition, + constant: bool= True, + **kwargs, + ): + params = { + "id": id, + "name": name, + "volume": volume, + "unit": unit, + "constant": constant + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.vessels.append( + Vessel(**params) + ) + + return self.vessels[-1] + + + def add_to_proteins( + self, + id: str, + name: str, + constant: bool= False, + sequence: Optional[str]= None, + vessel_id: Optional[str]= None, + ecnumber: Optional[str]= None, + organism: Optional[str]= None, + organism_tax_id: Optional[str]= None, + references: list[str]= [], + **kwargs, + ): + params = { + "id": id, + "name": name, + "constant": constant, + "sequence": sequence, + "vessel_id": vessel_id, + "ecnumber": ecnumber, + "organism": organism, + "organism_tax_id": organism_tax_id, + "references": references + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.proteins.append( + Protein(**params) + ) + + return self.proteins[-1] + + + def add_to_complexes( + self, + id: str, + participants: list[str]= [], + **kwargs, + ): + params = { + "id": id, + "participants": participants + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.complexes.append( + Complex(**params) + ) + + return self.complexes[-1] + + + def add_to_small_molecules( + self, + id: str, + name: str, + constant: bool= False, + vessel_id: Optional[str]= None, + canonical_smiles: Optional[str]= None, + inchikey: Optional[str]= None, + references: list[str]= [], + **kwargs, + ): + params = { + "id": id, + "name": name, + "constant": constant, + "vessel_id": vessel_id, + "canonical_smiles": canonical_smiles, + "inchikey": inchikey, + "references": references + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.small_molecules.append( + SmallMolecule(**params) + ) + + return self.small_molecules[-1] + + + def add_to_reactions( + self, + id: str, + name: str, + reversible: bool= False, + kinetic_law: Optional[Equation]= None, + species: list[ReactionElement]= [], + modifiers: list[str]= [], + **kwargs, + ): + params = { + "id": id, + "name": name, + "reversible": reversible, + "kinetic_law": kinetic_law, + "species": species, + "modifiers": modifiers + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.reactions.append( + Reaction(**params) + ) + + return self.reactions[-1] + + + def add_to_measurements( + self, + id: str, + name: str, + species: list[MeasurementData]= [], + group_id: Optional[str]= None, + ph: Optional[float]= None, + temperature: Optional[float]= None, + temperature_unit: Optional[UnitDefinition]= None, + **kwargs, + ): + params = { + "id": id, + "name": name, + "species": species, + "group_id": group_id, + "ph": ph, + "temperature": temperature, + "temperature_unit": temperature_unit + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.measurements.append( + Measurement(**params) + ) + + return self.measurements[-1] + + + def add_to_equations( + self, + unit: UnitDefinition, + equation_type: EquationType, + equation: str, + species_id: Optional[str]= None, + id: Optional[str]= None, + variables: list[EqVariable]= [], + parameters: list[EqParameter]= [], + **kwargs, + ): + params = { + "unit": unit, + "equation_type": equation_type, + "equation": equation, + "species_id": species_id, + "id": id, + "variables": variables, + "parameters": parameters + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.equations.append( + Equation(**params) + ) + + return self.equations[-1] + + + def add_to_parameters( + self, + id: str, + name: str, + value: Optional[float]= None, + unit: Optional[UnitDefinition]= None, + initial_value: Optional[float]= None, + upper: Optional[float]= None, + lower: Optional[float]= None, + stderr: Optional[float]= None, + constant: Optional[bool]= True, + **kwargs, + ): + params = { + "id": id, + "name": name, + "value": value, + "unit": unit, + "initial_value": initial_value, + "upper": upper, + "lower": lower, + "stderr": stderr, + "constant": constant + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.parameters.append( + Parameter(**params) + ) + + return self.parameters[-1] + +class Creator(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + given_name: str + family_name: str + mail: str + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:Creator/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:Creator","schema:person" + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "given_name": "schema:givenName", + "family_name": "schema:familyName", + "mail": "schema:email", + } + ) + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class Vessel(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + id: str + name: str + volume: float + unit: UnitDefinition + constant: bool = True + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:Vessel/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:Vessel","OBO:OBI_0400081" + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "name": "schema:name", + "volume": "OBO:OBI_0002139", + } + ) + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class Protein(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + id: str + name: str + constant: bool = False + sequence: Optional[str] = Field(default=None) + vessel_id: Optional[str] = Field(default=None) + ecnumber: Optional[str] = Field(default=None) + organism: Optional[str] = Field(default=None) + organism_tax_id: Optional[str] = Field(default=None) + references: list[str] = Field(default_factory=list) + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:Protein/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:Protein","schema:Protein" + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@type": "@id", + }, + "name": "schema:name", + "sequence": "OBO:GSSO_007262", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "organism": "OBO:OBI_0100026", + "organism_tax_id": { + "@type": "@id", + }, + "references": { + "@id": "schema:citation", + "@type": "@id", + }, + } + ) + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class Complex(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + id: str + participants: list[str] = Field(default_factory=list) + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:Complex/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:Complex", + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "participants": { + "@type": "@id", + }, + } + ) + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class SmallMolecule(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + id: str + name: str + constant: bool = False + vessel_id: Optional[str] = Field(default=None) + canonical_smiles: Optional[str] = Field(default=None) + inchikey: Optional[str] = Field(default=None) + references: list[str] = Field(default_factory=list) + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:SmallMolecule", + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "name": "schema:name", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "references": { + "@id": "schema:citation", + "@type": "@id", + }, + } + ) + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class Reaction(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + id: str + name: str + reversible: bool = False + kinetic_law: Optional[Equation] = Field(default=None) + species: list[ReactionElement] = Field(default_factory=list) + modifiers: list[str] = Field(default_factory=list) + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:Reaction/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:Reaction", + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "modifiers": { + "@type": "@id", + }, + } + ) + + def filter_species(self, **kwargs) -> list[ReactionElement]: + """Filters the species attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[ReactionElement]: The filtered list of ReactionElement objects + """ + + return FilterWrapper[ReactionElement](self.species, **kwargs).filter() + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + + def add_to_species( + self, + species_id: str, + stoichiometry: float, + **kwargs, + ): + params = { + "species_id": species_id, + "stoichiometry": stoichiometry + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.species.append( + ReactionElement(**params) + ) + + return self.species[-1] + + +class ReactionElement(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + species_id: str + stoichiometry: float + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:ReactionElement", + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@type": "@id", + }, + } + ) + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class Equation(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + unit: UnitDefinition + equation_type: EquationType + equation: str + species_id: Optional[str] = Field(default=None) + id: Optional[str] = Field(default=None) + variables: list[EqVariable] = Field(default_factory=list) + parameters: list[EqParameter] = Field(default_factory=list) + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:Equation/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:Equation", + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@type": "@id", + }, + "id": { + "@type": "@id", + }, + } + ) + + def filter_variables(self, **kwargs) -> list[EqVariable]: + """Filters the variables attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[EqVariable]: The filtered list of EqVariable objects + """ + + return FilterWrapper[EqVariable](self.variables, **kwargs).filter() + + def filter_parameters(self, **kwargs) -> list[EqParameter]: + """Filters the parameters attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[EqParameter]: The filtered list of EqParameter objects + """ + + return FilterWrapper[EqParameter](self.parameters, **kwargs).filter() + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + + def add_to_variables( + self, + id: str, + name: str, + symbol: Optional[str]= None, + **kwargs, + ): + params = { + "id": id, + "name": name, + "symbol": symbol + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.variables.append( + EqVariable(**params) + ) + + return self.variables[-1] + + + def add_to_parameters( + self, + id: str, + name: str, + symbol: Optional[str]= None, + value: Optional[float]= None, + **kwargs, + ): + params = { + "id": id, + "name": name, + "symbol": symbol, + "value": value + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.parameters.append( + EqParameter(**params) + ) + + return self.parameters[-1] + +class Parameter(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + id: str + name: str + value: Optional[float] = Field(default=None) + unit: Optional[UnitDefinition] = Field(default=None) + initial_value: Optional[float] = Field(default=None) + upper: Optional[float] = Field(default=None) + lower: Optional[float] = Field(default=None) + stderr: Optional[float] = Field(default=None) + constant: bool = True + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:Parameter/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:Parameter", + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + } + ) + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class Measurement(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + id: str + name: str + species: list[MeasurementData] = Field(default_factory=list) + group_id: Optional[str] = Field(default=None) + ph: Optional[float] = Field(default=None) + temperature: Optional[float] = Field(default=None) + temperature_unit: Optional[UnitDefinition] = Field(default=None) + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:Measurement/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:Measurement", + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "group_id": { + "@type": "@id", + }, + } + ) + + def filter_species(self, **kwargs) -> list[MeasurementData]: + """Filters the species attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[MeasurementData]: The filtered list of MeasurementData objects + """ + + return FilterWrapper[MeasurementData](self.species, **kwargs).filter() + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + + def add_to_species( + self, + species_id: str, + init_conc: float, + data_type: DataTypes, + data_unit: UnitDefinition, + time_unit: UnitDefinition, + time: list[float]= [], + data: list[float]= [], + is_calculated: bool= False, + **kwargs, + ): + params = { + "species_id": species_id, + "init_conc": init_conc, + "data_type": data_type, + "data_unit": data_unit, + "time_unit": time_unit, + "time": time, + "data": data, + "is_calculated": is_calculated + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.species.append( + MeasurementData(**params) + ) + + return self.species[-1] + + +class MeasurementData(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + species_id: str + init_conc: float + data_type: DataTypes + data_unit: UnitDefinition + time_unit: UnitDefinition + time: list[float] = Field(default_factory=list) + data: list[float] = Field(default_factory=list) + is_calculated: bool = False + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:MeasurementData", + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@type": "@id", + }, + } + ) + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class UnitDefinition(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + id: Optional[str] = Field(default=None) + name: Optional[str] = Field(default=None) + base_units: list[BaseUnit] = Field(default_factory=list) + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:UnitDefinition/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:UnitDefinition", + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + } + ) + + def filter_base_units(self, **kwargs) -> list[BaseUnit]: + """Filters the base_units attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[BaseUnit]: The filtered list of BaseUnit objects + """ + + return FilterWrapper[BaseUnit](self.base_units, **kwargs).filter() + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + + def add_to_base_units( + self, + kind: UnitType, + exponent: int, + multiplier: Optional[float]= None, + scale: Optional[float]= None, + **kwargs, + ): + params = { + "kind": kind, + "exponent": exponent, + "multiplier": multiplier, + "scale": scale + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.base_units.append( + BaseUnit(**params) + ) + + return self.base_units[-1] + +class BaseUnit(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + kind: UnitType + exponent: int + multiplier: Optional[float] = Field(default=None) + scale: Optional[float] = Field(default=None) + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:BaseUnit/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:BaseUnit", + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + } + ) + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class EqVariable(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + id: str + name: str + symbol: Optional[str] = Field(default=None) + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:EqVariable/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:EqVariable", + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@type": "@id", + }, + } + ) + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class EqParameter(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + id: str + name: str + symbol: Optional[str] = Field(default=None) + value: Optional[float] = Field(default=None) + + # JSON-LD fields + ld_id: str = Field( + alias="@id", + default_factory=lambda: "enzml:EqParameter/" + str(uuid4()) + ) + ld_type: list[str] = Field( + alias="@type", + default_factory = lambda: [ + "enzml:EqParameter", + ], + ) + ld_context: dict[str, str | dict] = Field( + alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@type": "@id", + }, + } + ) + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Using a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class DataTypes(Enum): + ABSORPTION = "abs" + BIOMASS = "biomass" + CONCENTRATION = "conc" + CONVERSION = "conversion" + FEED = "feed" + PEAK_AREA = "peak-area" + +class EquationType(Enum): + ASSIGNMENT = "assignment" + INITIAL_ASSIGNMENT = "initialAssignment" + ODE = "ode" + RATE_LAW = "rateLaw" + +class UnitType(Enum): + AMPERE = "ampere" + AVOGADRO = "avogadro" + BECQUEREL = "becquerel" + CANDELA = "candela" + COULOMB = "coulomb" + DIMENSIONLESS = "dimensionless" + FARAD = "farad" + GRAM = "gram" + GRAY = "gray" + HENRY = "henry" + HERTZ = "hertz" + ITEM = "item" + JOULE = "joule" + KATAL = "katal" + KELVIN = "kelvin" + KILOGRAM = "kilogram" + LITRE = "litre" + LUMEN = "lumen" + LUX = "lux" + METRE = "metre" + MOLE = "mole" + NEWTON = "newton" + OHM = "ohm" + PASCAL = "pascal" + RADIAN = "radian" + SECOND = "second" + SIEMENS = "siemens" + SIEVERT = "sievert" + STERADIAN = "steradian" + TESLA = "tesla" + VOLT = "volt" + WATT = "watt" + WEBER = "weber" \ No newline at end of file diff --git a/pyenzyme/rdf.py b/pyenzyme/rdf.py new file mode 100644 index 00000000..d608b3ed --- /dev/null +++ b/pyenzyme/rdf.py @@ -0,0 +1,34 @@ +import rdflib + + +def to_rdf_xml(*objs, keep_header: bool = False): + """Converts a JSON-LD string to RDF/XML format. + + Args: + json_ld (str): The JSON-LD string to convert. + keep_header (bool, optional): Whether to keep the XML header. Defaults to False. + Returns: + str: The RDF/XML string. + """ + + graph = rdflib.Graph() + + for obj in objs: + if not hasattr(obj, "ld_id"): + obj.ld_id = f"http://enzymeml.org/v2/{obj.__class__.__name__}/{obj.ld_id}" + to_exclude = { + key + for key, value in obj.ld_context.items() + if isinstance(value, dict) and value.get("@type", None) == "@id" + } + graph.parse( + data=obj.model_dump_json(by_alias=True, exclude=to_exclude), + format="json-ld", + ) + + rdf_xml = graph.serialize(format="xml") + + if not keep_header: + return "\n".join(rdf_xml.split("\n")[1:]) + else: + return rdf_xml diff --git a/pyenzyme/sbml/__init__.py b/pyenzyme/sbml/__init__.py new file mode 100644 index 00000000..2ae543c2 --- /dev/null +++ b/pyenzyme/sbml/__init__.py @@ -0,0 +1,3 @@ +from .serializer import to_sbml + +__all__ = ["to_sbml"] diff --git a/pyenzyme/sbml/mappings.toml b/pyenzyme/sbml/mappings.toml new file mode 100644 index 00000000..771a68bd --- /dev/null +++ b/pyenzyme/sbml/mappings.toml @@ -0,0 +1,31 @@ +[smallMolecule] + +inchiKey = "inchikey" +smiles = "canonical_smiles" + +[protein] + +ecnumber = "ecnumber" +organism = "organism" +organismTaxId = "organism_tax_id" +sequence = "sequence" + +[conditions] + +ph = { "@value" = "ph" } +temperature = { "@value" = "temperature", "@unit" = "temperature_unit" } + +[parameter] + +lowerBound = "lower" +upperBound = "upper" +stdDeviation = "stderr" + +[measurement] + +"@id" = "id" +"@name" = "name" + +[initConc] + +initConc = { "@species" = "species_id", "@value" = "init_conc", "@unit" = "data_unit" } diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py new file mode 100644 index 00000000..55887126 --- /dev/null +++ b/pyenzyme/sbml/serializer.py @@ -0,0 +1,460 @@ +from pathlib import Path +import libsbml +from loguru import logger +import pandas as pd +import xml.etree.ElementTree as ET +from typing import Callable +from pydantic import BaseModel + +import pyenzyme.model as pe +from pyenzyme.sbml.validation import validate_sbml_export +from pyenzyme.tabular import to_pandas +import pyenzyme.tools as tools + +from pyenzyme import xmlutils as _xml +from pyenzyme import rdf +from pyenzyme.units.units import UnitDefinition +from pyenzyme.logging import add_logger + +MAPPINGS = tools.read_static_file("pyenzyme.sbml", "mappings.toml") +NSMAP = {"enzymeml": "https://www.enzymeml.org/v2"} + + +def to_sbml( + enzmldoc: pe.EnzymeMLDocument, + out: Path | str | None = None, + verbose: bool = False, +) -> tuple[str, pd.DataFrame] | None: + """This function converts an EnzymeML document to an SBML document. + + The systems biology markup language (SBML) is a machine-readable format for + representing models of biochemical reaction networks. This function converts + an EnzymeML document to an SBML document. Prior to serialization the EnzymeML + document is validated for SBML export. + + Example: + >> import pyenzyme as pe + >> doc = pe.EnzymeMLDocument() + >> [add entities to doc] + >> pe.to_sbml(doc, "example.xml") + + Args: + enzmldoc (pe.EnzymeMLDocument): The EnzymeML document to convert. + out (Path | str | None, optional): The output file to write the SBML document to. Defaults to None. + + Returns: + tuple[str, pd.DataFrame] | None: The SBML document as a string and a DataFrame with the RDF triples. + + Raises: + ValueError: If the EnzymeML document is not valid for SBML export. + """ + + add_logger(name="SBML") + + if not validate_sbml_export(enzmldoc): + raise ValueError("EnzymeML document is not valid for SBML export") + + global print_warnings + global units + global model + global doc + + doc = enzmldoc.copy() + sbmldoc = libsbml.SBMLDocument() + model = sbmldoc.createModel() + units = tools.find_unique(enzmldoc, pe.UnitDefinition) + print_warnings = verbose + + _xml.register_namespaces(nsmap=NSMAP) + + # Add entities + [_add_unit_definitions(unit, i) for i, unit in enumerate(units)] + [_add_vessel(vessel) for vessel in doc.vessels] + [_add_protein(protein) for protein in doc.proteins] + [_add_small_mol(small_mol) for small_mol in doc.small_molecules] + [_add_parameter(param) for param in doc.parameters] + [_add_equation(equation) for equation in doc.equations] + [_add_reaction(reaction, i) for i, reaction in enumerate(doc.reactions)] + + if doc.measurements: + _add_measurements(doc.measurements) + + if out is None: + return libsbml.writeSBMLToString(sbmldoc), to_pandas(doc) + + if isinstance(out, str): + out = Path(out) + + if out.is_dir(): + out = out / "enzymeml_doc.xml" + else: + out = out.with_suffix(".xml") + + _validate_sbml(sbmldoc) + + libsbml.writeSBML(sbmldoc, str(out)) + + if doc.measurements: + to_pandas(doc).to_csv(out.with_name("data.tsv"), sep="\t", index=False) + + logger.info(f"SBML document written to {out}") + + +def _add_unit_definitions(unit: UnitDefinition, index: int): + """Add unit definitions to the SBML model.""" + + sbml_unitdef = model.createUnitDefinition() + sbml_unitdef.setName(unit.name) + sbml_unitdef.setId(f"u{index}") + sbml_unitdef.setAnnotation(rdf.to_rdf_xml(unit)) + + for base_unit in unit.base_units: + sbml_unit = sbml_unitdef.createUnit() + sbml_unit.setKind(_get_sbml_kind(base_unit.kind)) + sbml_unit.setExponent(base_unit.exponent) + + if base_unit.scale: + sbml_unit.setScale(int(base_unit.scale)) + if base_unit.multiplier: + sbml_unit.setMultiplier(base_unit.multiplier) + + +def _add_vessel(vessel: pe.Vessel): + """Add vessels to the SBML model.""" + + compartment = model.createCompartment() + compartment.setId(vessel.id) + compartment.setName(vessel.name) + compartment.setConstant(True) + compartment.setSize(vessel.volume) + compartment.setAnnotation(rdf.to_rdf_xml(vessel)) + + if vessel.unit in units: + compartment.setUnits(_get_unit(vessel.unit, units)) + else: + raise ValueError(f"Unit {vessel.unit} not found in units") + + +def _add_small_mol(small_mol: pe.SmallMolecule): + """Add small molecules to the SBML model.""" + + species = model.createSpecies() + species.setId(small_mol.id) + species.setName(small_mol.name) + species.setCompartment(small_mol.vessel_id) + species.setConstant(small_mol.constant) + species.appendAnnotation(rdf.to_rdf_xml(small_mol)) + + init_conc = _get_first_meas_init_conc(small_mol) + + if init_conc is not None: + species.setInitialConcentration(init_conc) + species.setHasOnlySubstanceUnits(False) + + root = ET.Element("enzymeml") + annot = _xml.serialize_to_pretty_xml_string( + _extract_create_annot("smallMolecule", small_mol, root) + ) + + if annot is not None: + species.appendAnnotation(annot) + + +def _add_protein(protein: pe.Protein): + """Add proteins to the SBML model.""" + + species = model.createSpecies() + species.setId(protein.id) + species.setName(protein.name) + species.setConstant(protein.constant) + species.setCompartment(protein.vessel_id) + species.appendAnnotation(rdf.to_rdf_xml(protein)) + + init_conc = _get_first_meas_init_conc(protein) + + if init_conc is not None: + species.setInitialConcentration(init_conc) + species.setHasOnlySubstanceUnits(False) + + annot = _xml.serialize_to_pretty_xml_string( + _extract_create_annot("protein", protein) + ) + + if annot is not None: + species.appendAnnotation(annot) + + +def _get_first_meas_init_conc(species: pe.SmallMolecule | pe.Protein): + """Extracts the initial concentration of a species from the first measurement + + SBML requires the initial concentration to be set for species that are measured, + even if there are multiple measurements. This function extracts the initial + concentration from the first measurement of the species to fulfill this requirement. + """ + + if not doc.measurements: + return None + + measurement = doc.measurements[0] + meas_species = measurement.filter_species(species_id=species.id) + + if meas_species: + return meas_species[0].init_conc + else: + return None + + +def _add_reaction(reaction: pe.Reaction, index: int): + """Add reactions to the SBML model.""" + + sbml_reaction = model.createReaction() + sbml_reaction.setName(reaction.name) + sbml_reaction.setId(f"r{index}") + sbml_reaction.setReversible(reaction.reversible) + + for species in reaction.species: + assert species.stoichiometry, f"Stoichiometry of species {species} is not set" + + species_ref = _get_create_fun( + species.stoichiometry, + sbml_reaction, + species.species_id, + )() + + species_ref.setSpecies(species.species_id) + species_ref.setStoichiometry(abs(species.stoichiometry)) + + for modifier in reaction.modifiers: + modifier_ref = sbml_reaction.createModifier() + modifier_ref.setSpecies(modifier) + + if reaction.kinetic_law: + _add_rate_law(reaction.kinetic_law, sbml_reaction) + + +def _add_rate_law(equation: pe.Equation, reac: libsbml.Reaction): + """Add rate laws to the SBML Reaction.""" + + law = reac.createKineticLaw() + law.setMath(libsbml.parseL3Formula(equation.equation)) + + for parameter in equation.parameters: + param = law.createParameter() + param.setId(parameter.id) + + +def _get_create_fun( + stoichiometry: float, + reaction: libsbml.Reaction, + species: str, +) -> Callable[[], libsbml.SpeciesReference]: + """Helper function to retrieve the appropriate create function""" + if stoichiometry > 0: + return reaction.createProduct + elif stoichiometry < 0: + return reaction.createReactant + + raise ValueError(f"Stoichiometry of species {species} is 0") + + +def _add_parameter(parameter: pe.Parameter): + """Add parameters to the SBML model.""" + + sbml_param = model.createParameter() + sbml_param.setId(parameter.id) + sbml_param.setName(parameter.name) + sbml_param.setConstant(parameter.constant) + sbml_param.appendAnnotation(rdf.to_rdf_xml(parameter)) + + if parameter.value: + sbml_param.setValue(parameter.value) + if parameter.unit: + sbml_param.setUnits(_get_unit(parameter.unit, units)) + + annot = _xml.serialize_to_pretty_xml_string( + _extract_create_annot("parameter", parameter) + ) + + if annot is not None: + sbml_param.appendAnnotation(annot) + + +def _add_equation(equation: pe.Equation): + """Add equations to the SBML model.""" + + if equation.equation_type == pe.EquationType.ODE: + sbml_rule = model.createRateRule() + sbml_rule.setVariable(equation.species_id) + sbml_rule.setUnits(_get_unit(equation.unit, units)) + elif equation.equation_type == pe.EquationType.ASSIGNMENT: + sbml_rule = model.createAssignmentRule() + sbml_rule.setVariable(equation.species_id) + sbml_rule.setUnits(_get_unit(equation.unit, units)) + elif equation.equation_type == pe.EquationType.INITIAL_ASSIGNMENT: + sbml_rule = model.createInitialAssignment() + sbml_rule.setSymbol(equation.species_id) + else: + raise ValueError(f"Equation type {equation.equation_type} not supported") + + sbml_rule.setMath(libsbml.parseL3Formula(equation.equation)) + + +def _add_measurements(measurements: list[pe.Measurement]): + """Adds measurements to the SBML model.""" + + annotation = ET.Element(f"{{{NSMAP['enzymeml']}}}data") + annotation.attrib["file"] = "data.csv" + + for measurement in measurements: + meas_element = _extract_create_annot("measurement", measurement) + meas_element.attrib["timeUnit"] = _get_unit( # type: ignore + measurement.species[0].time_unit, + units, + ) + + assert meas_element is not None, "Measurement element is None" + + conditions = _create_condition_element( + ph=measurement.ph, + temperature=measurement.temperature, + temperature_unit=measurement.temperature_unit, # type: ignore + ) + + if conditions: + meas_element.append(conditions) + + for species in measurement.species: + _extract_create_annot("initConc", species, meas_element) + + annotation.append(meas_element) + + annot = _xml.serialize_to_pretty_xml_string(annotation) + + if annot is not None: + model.appendAnnotation(annot) + + +def _create_condition_element( + ph: float | None, + temperature: float | None, + temperature_unit: UnitDefinition | None, +): + """Set the conditions of the reaction in the SBML model.""" + + element = ET.Element(f"{{{NSMAP['enzymeml']}}}conditions") + mappings = { + "ph": {"@value": ph}, + "temperature": {"@value": temperature, "@unit": temperature_unit}, + } + + _xml.map_to_xml( + root=element, + mappings=mappings, + namespace=NSMAP["enzymeml"], + ) + + return element + + +def _extract_create_annot( + name: str, + obj: BaseModel, + element: ET.Element | None = None, +) -> ET.Element | None: + """Extracts the data from the object and creates an annotation element. + + This function makes use of the "mappings.toml" file which orchestrates + the mapping of the data from the object to the XML element. + + Args: + name (str): The name of the object. + obj (BaseModel): The object to extract the data from. + element (ET.Element, optional): The element to append the annotation to. Defaults to None. + + Returns: + ET.Element: The annotation element. + """ + mappings = _extract(obj, MAPPINGS[name]) + + if element is None: + element = ET.Element(f"{{{NSMAP['enzymeml']}}}{name}") + + _xml.map_to_xml( + root=element, + mappings=mappings, + namespace=NSMAP["enzymeml"], + ) + + if len(element) == 0 and not element.attrib: + return None + + return element + + +def _extract(obj: BaseModel, mapping: dict) -> dict: + """Based on the mapping, extract the data from the object and return it as a dictionary. + + Args: + obj (BaseModel): The object to extract the data from. + mapping (dict): The mapping to use for extraction. + + Returns: + dict: The extracted data. + """ + + data = {} + + for trgt_key, enzml_key in mapping.items(): + if isinstance(enzml_key, dict): + data[trgt_key] = _extract(obj, enzml_key) + elif "unit" in enzml_key: + value = getattr(obj, enzml_key) + data[trgt_key] = _get_unit(value, units) + else: + data[trgt_key] = getattr(obj, enzml_key) + + return data + + +def _get_sbml_kind(unit_type: pe.UnitType): + try: + return getattr(libsbml, f"UNIT_KIND_{unit_type.name}") + except AttributeError: + raise ValueError(f"Unit type {unit_type} not found in libsbml") + + +def _get_unit(unit: pe.UnitDefinition, units: list[pe.UnitDefinition]) -> str | None: + """Helper function to get the unit from the list of units.""" + try: + index = units.index(unit) + except ValueError: + return None + + return f"u{index}" + + +def _validate_sbml(sbmldoc: libsbml.SBMLDocument) -> None: + """Validate the SBML document using the libSBML function.""" + sbml_errors = sbmldoc.checkConsistency() + valid = True + + if sbml_errors and not print_warnings: + logger.warning( + "The SBML document has warnings that should be checked. Set the `warnings` argument to true to see them." + ) + + for error in range(sbml_errors): + severity = sbmldoc.getError(error).getSeverity() + + if severity == libsbml.LIBSBML_SEV_ERROR: + valid = False + logger.error( + sbmldoc.getError(error).getMessage().strip().replace("\n", " ") + ) + elif severity == libsbml.LIBSBML_SEV_WARNING and print_warnings: + logger.warning( + sbmldoc.getError(error).getMessage().strip().replace("\n", " ") + ) + + if not valid: + raise ValueError("SBML model is not valid") diff --git a/pyenzyme/sbml/validation.py b/pyenzyme/sbml/validation.py new file mode 100644 index 00000000..c98dbc09 --- /dev/null +++ b/pyenzyme/sbml/validation.py @@ -0,0 +1,157 @@ +from loguru import logger + +import pyenzyme.model as pe +import pyenzyme.tools as tools + + +def validate_sbml_export(doc: pe.EnzymeMLDocument) -> bool: + """This function validates the SBML export of an EnzymeML document. + + Args: + doc (pe.EnzymeMLDocument): The EnzymeML document to validate. + channel (str, optional): The channel to log to. Defaults to sys.stderr. + + Returns: + bool: True if the document is valid, False otherwise. + """ + + result = all( + [ + _check_consistent_vessel_ids(doc), + _check_equation_either_rule_or_reaction(doc), + _check_units_exist(doc), + _check_assigned_params_are_not_constant(doc), + ] + ) + + return result + + +def _check_consistent_vessel_ids(doc: pe.EnzymeMLDocument) -> bool: + """This validator checks whether all species have a vessel id that exists in the document. + + SBML documents require that all species have a vessel id that exists in the document and + this validator checks for that. Otherwise an error message will be logged and the validity + set to False. + """ + + vessel_ids = {v.id for v in doc.vessels} + all_species = doc.small_molecules + doc.proteins + result = [] + + for species in all_species: + if species.vessel_id is None: + logger.error( + f"Species '{species.id}' of type '{type(species).__name__}' does not have a vessel id." + ) + result.append(False) + elif species.vessel_id not in vessel_ids: + logger.error( + f"Species '{species.id}' of type '{type(species).__name__}' has a vessel id that does not exist in the document." + ) + result.append(False) + else: + result.append(True) + + return all(result) + + +def _check_equation_either_rule_or_reaction(doc: pe.EnzymeMLDocument) -> bool: + """This validator checks whether there are either rules or reactions in the document. + + SBML documents require that there are either rules or reactions in the document. For instance, + there cannot be a rate equation and reaction element at the same time, since the latter is + used to derive the former. This validator checks for that and logs an error message if the + document is invalid. + """ + + species_w_rate = { + eq.species_id for eq in doc.equations if eq.equation_type == pe.EquationType.ODE + } + + all_reaction_elements = tools.extract(obj=doc, target=pe.ReactionElement) + result, validated = [], set() + + for element in all_reaction_elements: + if element.species_id in species_w_rate and element.species_id not in validated: + logger.error( + f"Species '{element.species_id}' is part of a reaction and has a rate equation. This is not allowed in SBML." + ) + validated.add(element.species_id) + result.append(False) + else: + result.append(True) + + return all(result) + + +def _check_units_exist(doc: pe.EnzymeMLDocument): + """This validator checks whether all units in the document are defined in the SBML standard.""" + + mandatory_unit_objects = [ + *tools.extract(obj=doc, target=pe.MeasurementData), + *tools.extract(obj=doc, target=pe.Equation), + ] + + optional_unit_objects = [ + *tools.extract(obj=doc, target=pe.Parameter), + ] + + result = [] + + for unit_obj in mandatory_unit_objects: + units = tools.extract(obj=unit_obj, target=pe.UnitDefinition) + + if len(units) == 0: + logger.error( + f"Object of type '{type(unit_obj).__name__}' with id '{unit_obj.id}' does not have a unit defined." + ) + result.append(False) + + for unit_obj in optional_unit_objects: + units = tools.extract(obj=unit_obj, target=pe.UnitDefinition) + + if len(units) == 0: + logger.warning( + f"{type(unit_obj).__name__} with id '{unit_obj.id}' should ideally have a unit defined." + ) + + result.append(True) + + return all(result) + + +def _check_assigned_params_are_not_constant(doc: pe.EnzymeMLDocument): + """This validator checks whether all assigned parameters are not constant. + + If a parameter is assigned a value through an assignment rule, it should not be constant. + This validator checks for that and logs a warning if a parameter is constant but has + an assignment rule and sets the parameter to non-constant. + """ + + assignments = doc.filter_equations(equation_type=pe.EquationType.ASSIGNMENT) + result = [] + + for assignment in assignments: + params = doc.filter_parameters(id=assignment.species_id) + + if len(params) == 0: + logger.error( + f"Assignment '{assignment.species_id}' does not have a parameter defined." + ) + result.append(False) + elif len(params) > 1: + logger.error( + f"Assignment '{assignment.species_id}' has multiple parameters defined." + ) + result.append(False) + + if params[0].constant: + params[0].constant = False + logger.warning( + f"Parameter '{params[0].id}' has an assignment rule, but is set to constant. The parameter is now set to non-constant." + ) + + result.append(True) + + return all(result) diff --git a/pyenzyme/tabular.py b/pyenzyme/tabular.py new file mode 100644 index 00000000..d799c8c5 --- /dev/null +++ b/pyenzyme/tabular.py @@ -0,0 +1,323 @@ +import pandas as pd +import pathlib as pl + +from .model import ( + DataTypes, + Measurement, + EnzymeMLDocument, + MeasurementData, + UnitDefinition, +) + + +def to_pandas( + enzmldoc: EnzymeMLDocument, + ignore: list[str] = [], +) -> pd.DataFrame: + """This function converts an EnzymeMLDocument object to a pandas DataFrame. + + The resulting DataFrame contains the following columns: + + - time: The time values of the measurement. + - id: The ID of the measurement. + - [species]: The species data of the measurement per column. + + Args: + enzmldoc (EnzymeMLDocument): The EnzymeMLDocument object to convert. + ignore (list[str], optional): A list of measurement IDs to ignore. Defaults to []. + + Returns: + pd.DataFrame: The EnzymeMLDocument object as a pandas DataFrame. + + Raises: + ValueError: If the input is not an EnzymeMLDocument object. + ValueError: If the measurements are not of type Measurement. + ValueError: If the measurement does not contain species data. + """ + + assert isinstance( + enzmldoc, EnzymeMLDocument + ), "The input must be an EnzymeMLDocument object" + + dfs = [] + for meas in enzmldoc.measurements: + if meas.id in ignore: + continue + + if not isinstance(meas, Measurement): + raise ValueError("The measurements must be of type Measurement") + if meas.species is None: + raise ValueError("The measurement must contain species data") + + df = _measurement_to_pandas(meas) + df["id"] = [meas.id] * len(df) + dfs.append(df) + + return pd.concat(dfs, ignore_index=True).reset_index(drop=True) + + +def read_excel( + path: pl.Path | str, + data_unit: UnitDefinition, + time_unit: UnitDefinition, + data_type: DataTypes = DataTypes.CONCENTRATION, + sep: str = ";", +): + """Reads a CSV file from the specified path into a measurement. + + This function expects the CSV file to have the following structure: + + - time: The time points of the measurements. Should start at 0. + - id: The ID of the measurement. Only needed in case of multiple measurements. + - [species_id]: Per column, the data of a species. + + If there is no 'id' column, the function assumes that there is only one measurement + in the file. If there is an 'id' column, the function assumes that there are multiple + measurements in the file. Hence, if you want to have multiple measurements in the same + file, you need to have an 'id' column. Otherwise it will return a single measurement. + + Args: + path (str, pathlib.Path): The path to the CSV file. + data_unit (UnitDefinition): The unit of the data. + time_unit (UnitDefinition): The unit of the time. + data_type (DataTypes): The type of the data. Default is DataTypes.CONCENTRATION. + sep (str): The separator of the CSV file. Default is ';'. + + Returns: + list[Measurement]: A list of measurements. + + Raises: + FileNotFoundError: If the file does not exist. + ValueError: If the path is not a file. + """ + + if isinstance(path, str): + path = pl.Path(path) + + if not path.exists(): + raise FileNotFoundError(f"The file '{path}' does not exist.") + elif not path.is_file(): + raise ValueError(f"The path '{path}' is not a file.") + + df = pd.read_excel(path) + + return from_pandas( + df=df, + id=path.stem, + data_unit=data_unit, + time_unit=time_unit, + data_type=data_type, + ) + + +def read_csv( + path: pl.Path | str, + data_unit: UnitDefinition, + time_unit: UnitDefinition, + data_type: DataTypes = DataTypes.CONCENTRATION, + sep: str = ";", +): + """Reads a CSV file from the specified path into a measurement. + + This function expects the CSV file to have the following structure: + + - time: The time points of the measurements. Should start at 0. + - id: The ID of the measurement. Only needed in case of multiple measurements. + - [species_id]: Per column, the data of a species. + + If there is no 'id' column, the function assumes that there is only one measurement + in the file. If there is an 'id' column, the function assumes that there are multiple + measurements in the file. Hence, if you want to have multiple measurements in the same + file, you need to have an 'id' column. Otherwise it will return a single measurement. + + Args: + path (str, pathlib.Path): The path to the CSV file. + data_unit (UnitDefinition): The unit of the data. + time_unit (UnitDefinition): The unit of the time. + data_type (DataTypes): The type of the data. Default is DataTypes.CONCENTRATION. + sep (str): The separator of the CSV file. Default is ';'. + + Returns: + list[Measurement]: A list of measurements. + + Raises: + FileNotFoundError: If the file does not exist. + ValueError: If the path is not a file. + """ + + if isinstance(path, str): + path = pl.Path(path) + + if not path.exists(): + raise FileNotFoundError(f"The file '{path}' does not exist.") + elif not path.is_file(): + raise ValueError(f"The path '{path}' is not a file.") + + df = pd.read_csv(path, sep=sep) + + return from_pandas( + df=df, + id=path.stem, + data_unit=data_unit, + time_unit=time_unit, + data_type=data_type, + ) + + +def from_pandas( + df: pd.DataFrame, + id: str, + data_unit: UnitDefinition, + time_unit: UnitDefinition, + data_type: DataTypes = DataTypes.CONCENTRATION, +) -> list[Measurement]: + """Parse a pandas DataFrame into a list of measurements. + + This function expects the DataFrame to have the following structure: + + - time: The time points of the measurements. Should start at 0. + - id: The ID of the measurement. Only needed in case of multiple measurements. + - [species_id]: Per column, the data of a species. + + If there is no 'id' column, the function assumes that there is only one measurement + in the file. If there is an 'id' column, the function assumes that there are multiple + measurements in the file. Hence, if you want to have multiple measurements in the same + file, you need to have an 'id' column. Otherwise it will return a single measurement. + + Args: + df (pd.DataFrame): The DataFrame to parse. + data_unit (UnitDefinition): The unit of the data. + time_unit (UnitDefinition): The unit of the time. + data_type (DataTypes): The type of the data. Default is DataTypes.CONCENTRATION. + + Returns: + list[Measurement]: A list of measurements. + + Raises: + FileNotFoundError: If the file does not exist. + ValueError: If the path is not a file. + """ + + _validate_data(df) + + if "id" in df: + return _process_multiple_measurements( + df=df, + data_unit=data_unit, + time_unit=time_unit, + data_type=data_type, + ) + else: + return [ + _create_single_measurement( + df=df, + id=id, + data_unit=data_unit, + time_unit=time_unit, + data_type=data_type, + ) + ] + + +def _create_single_measurement( + df: pd.DataFrame, + id: str, + data_unit: UnitDefinition, + time_unit: UnitDefinition, + data_type: DataTypes, +) -> Measurement: + data = df.to_dict(orient="list") + time = data.pop("time") + meas_data = [] + + for species_id, species_data in data.items(): + if species_id == "id": + continue + + meas_data.append( + MeasurementData( + species_id=species_id, + data=species_data, + time=time, + data_unit=data_unit, + time_unit=time_unit, + init_conc=species_data[0], + data_type=data_type, + ) + ) + + return Measurement(name=id, id=id, species=meas_data) + + +def _process_multiple_measurements( + df: pd.DataFrame, + data_unit: UnitDefinition, + time_unit: UnitDefinition, + data_type: DataTypes, +) -> list[Measurement]: + ids = df["id"].unique() + measurements = [] + + for id in ids: + sub_df = df[df["id"] == id] + measurements.append( + _create_single_measurement( + df=sub_df, # type: ignore + id=id, + data_unit=data_unit, + time_unit=time_unit, + data_type=data_type, + ) + ) + + return measurements + + +def _validate_data(data: pd.DataFrame) -> None: + """Validates the data from a CSV file""" + + assert "time" in data, "The CSV file must contain a 'time' column" + assert data["time"][0] == 0, "The time column must start at 0" + + for col in data.columns: + if col == "id": + continue + assert ( + data[col].dtype == "float64" or data[col].dtype == "int64" + ), f"The column '{col}' must contain only numerical values" + + +def _measurement_to_pandas(measurement: Measurement) -> pd.DataFrame: + """Converts a Measurement object to a pandas DataFrame""" + + _validate_measurement(measurement) + + data = {"time": measurement.species[0].time} + for species in measurement.species: + data[species.species_id] = species.data + return pd.DataFrame(data) + + +def _validate_measurement(meas: Measurement) -> None: + """Validates a Measurement object""" + + # Check if the length of time is consistent + + try: + times = pd.DataFrame( + {species.species_id + "_time": species.time for species in meas.species} + ) + except ValueError: + time_lengths = { + species.species_id: len(species.time) for species in meas.species + } + raise ValueError( + f"Export to pandas not possible, the time lengths are inconsistent. Got different time arrays per species: {time_lengths}" + ) + + # Check if the time arrays are the same + all_columns_same = bool(times.apply(lambda col: col.equals(times.iloc[:, 0])).all()) + if not all_columns_same: + raise ValueError( + f"Export to pandas not possible, the time arrays are inconsistent. Got different time arrays per species: \n\n {times.T} \n\n" + ) diff --git a/pyenzyme/tools.py b/pyenzyme/tools.py new file mode 100644 index 00000000..6a82de76 --- /dev/null +++ b/pyenzyme/tools.py @@ -0,0 +1,128 @@ +from enum import Enum +import toml +import functools as ft +import importlib.resources as pkg_resources + + +def read_static_file(path, filename: str): + """Reads a static file from the specified library path. + + Args: + path (Module): Import path of the library. + filename (str): The name of the file to read. + + Returns: + dict: The contents of the file as a dictionary. + """ + + source = pkg_resources.files(path).joinpath(filename) + with pkg_resources.as_file(source) as file: + return toml.load(file) + + +def find_unique(obj, target): + """Composite function that extracts all instances of a specified target type from a given object. + + Args: + obj (Any): The object from which to extract instances of the target type. + target (type): The target type to extract from the object. + + Returns: + list: A list of unique instances of the target type. + """ + if _is_basetype(obj): + return [] + + return chain(obj, ft.partial(extract, target=target), unique) + + +def chain(obj, *funs): + return ft.reduce(lambda x, f: f(x), funs, obj) + + +def unique(args): + """Returns a list of unique elements from a given list. + + Args: + args (list): The list of elements to extract unique elements from. + + Returns: + list: A list of unique elements. + """ + + unique = [] + for arg in args: + if arg not in unique: + unique.append(arg) + + return unique + + +def extract(obj, target) -> list: + """ + Recursively extracts all instances of a specified target type from a given object's attributes. + + This function traverses through the attributes of the given object and collects all instances + of the specified target type. It handles nested objects and lists by performing a depth-first search. + + Args: + obj (Any): The object from which to extract instances of the target type. + target (type): The type of the instances to extract. + + Returns: + list: A list of instances of the target type extracted from the object. + + Example: + >>> from dataclasses import dataclass, field + >>> @dataclass + >>> class Example: + >>> a: int + >>> b: list = field(default_factory=list) + >>> + >>> obj = Example(1, [Example(2), Example(3, [Example(4), 5])]) + >>> target_type = int + >>> extracted = extract_type(obj, target_type) + >>> print(extracted) + [1, 2, 3, 4, 5] + """ + + result = [] + + if isinstance(obj, target) or _is_subclass(obj, target): + result.append(obj) + + for name, value in obj.__dict__.items(): + if not _is_basetype(value) and not isinstance(value, Enum): + result += extract(value, target) + elif isinstance(value, list) and not all(_is_basetype(item) for item in value): + for item in value: + result += extract(item, target) + + return result + + +def _is_subclass(obj, target): + """Checks if an object is a subclass of a target type.""" + + if not hasattr(obj, "__class__"): + return False + + return issubclass(obj.__class__, target) + + +def _is_basetype(obj): + """Checks if an object is a basic type.""" + return isinstance( + obj, + ( + int, + float, + str, + bool, + bytes, + complex, + list, + dict, + type(None), + ), + ) diff --git a/pyenzyme/units/__init__.py b/pyenzyme/units/__init__.py new file mode 100644 index 00000000..25903882 --- /dev/null +++ b/pyenzyme/units/__init__.py @@ -0,0 +1 @@ +from .predefined import * # noqa: F403 diff --git a/pyenzyme/units/ontomaps.toml b/pyenzyme/units/ontomaps.toml new file mode 100644 index 00000000..0a2f5517 --- /dev/null +++ b/pyenzyme/units/ontomaps.toml @@ -0,0 +1,40 @@ +[substance] + +mol = "OBO:UO_0000013" +mmol = "OBO:UO_0000040" +umol = "OBO:UO_0000039" +nmol = "OBO:UO_0000041" + +[molarity] + +M = "OBO:UO_0000062" +mM = "OBO:UO_0000063" +uM = "OBO:UO_0000064" +nM = "OBO:UO_0000025" + +[time] + +s = "OBO:UO_0000010" +min = "OBO:UO_0000031" +hour = "OBO:UO_0000032" +day = "OBO:UO_0000033" + +[temperature] + +K = "OBO:UO_0000012" +C = "OBO:UO_0000027" + +[mass] + +kg = "OBO:UO_0000009" +g = "OBO:UO_0000021" +mg = "OBO:UO_0000022" +ug = "OBO:UO_0000023" +ng = "OBO:UO_0000024" + +[volume] + +litre = "OBO:UO_0000099" +ml = "OBO:UO_0000098" +ul = "OBO:UO_0000101" +nl = "OBO:UO_0000102" diff --git a/pyenzyme/units/predefined.py b/pyenzyme/units/predefined.py new file mode 100644 index 00000000..b0531d22 --- /dev/null +++ b/pyenzyme/units/predefined.py @@ -0,0 +1,146 @@ +from pyenzyme.model import UnitType +from pyenzyme.tools import read_static_file + +from .units import BaseUnit, UnitDefinition, Prefix + +BaseUnit.model_rebuild() +UnitDefinition.model_rebuild() + +ONTOMAPS = read_static_file("pyenzyme.units", "ontomaps.toml") + + +class Unit: + @staticmethod + def mol(): + return BaseUnit(kind=UnitType.MOLE, exponent=1, scale=1) + + @staticmethod + def litre(): + return BaseUnit(kind=UnitType.LITRE, exponent=1, scale=1) + + @staticmethod + def second(): + return BaseUnit(kind=UnitType.SECOND, exponent=1, scale=1) + + @staticmethod + def minute(): + return BaseUnit(kind=UnitType.SECOND, exponent=1, scale=1, multiplier=60) + + @staticmethod + def hour(): + hour = 60 * 60 + return BaseUnit(kind=UnitType.SECOND, exponent=1, scale=1, multiplier=hour) + + @staticmethod + def day(): + day = 60**2 * 24 + return BaseUnit(kind=UnitType.SECOND, exponent=1, scale=1, multiplier=day) + + @staticmethod + def gram(): + return BaseUnit(kind=UnitType.GRAM, exponent=1, scale=1) + + @staticmethod + def kelvin(): + return BaseUnit(kind=UnitType.KELVIN, exponent=1, scale=1) + + @staticmethod + def dimensionless(): + return BaseUnit(kind=UnitType.DIMENSIONLESS, exponent=1, scale=1) + + +###### Single Prefixes ###### + +k = Prefix.k +m = Prefix.m +u = Prefix.u +n = Prefix.n + +##### Predefined units ##### + +# Dimensionless +dimensionless = UnitDefinition(base_units=[Unit.dimensionless()]) + +# Molarity +M = Unit.mol() / Unit.litre() +mM = m * Unit.mol() / Unit.litre() +uM = u * Unit.mol() / Unit.litre() +nM = n * Unit.mol() / Unit.litre() + +## Ontology +M.ld_id = ONTOMAPS["molarity"]["M"] +mM.ld_id = ONTOMAPS["molarity"]["mM"] +uM.ld_id = ONTOMAPS["molarity"]["uM"] +nM.ld_id = ONTOMAPS["molarity"]["nM"] + +# Substance +mol = UnitDefinition(base_units=[Unit.mol()])._get_name() +mmol = UnitDefinition(base_units=[m * Unit.mol()])._get_name() +umol = UnitDefinition(base_units=[u * Unit.mol()])._get_name() +nmol = UnitDefinition(base_units=[n * Unit.mol()])._get_name() + +## Ontology +mol.ld_id = ONTOMAPS["substance"]["mol"] +mmol.ld_id = ONTOMAPS["substance"]["mmol"] +umol.ld_id = ONTOMAPS["substance"]["umol"] +nmol.ld_id = ONTOMAPS["substance"]["nmol"] + +# Mass +gram = UnitDefinition(base_units=[Unit.gram()])._get_name() +g = UnitDefinition(base_units=[Unit.gram()])._get_name() +mg = UnitDefinition(base_units=[m * Unit.gram()])._get_name() +ug = UnitDefinition(base_units=[u * Unit.gram()])._get_name() +ng = UnitDefinition(base_units=[n * Unit.gram()])._get_name() +kg = UnitDefinition(base_units=[k * Unit.gram()])._get_name() + +## Ontology +g.ld_id = ONTOMAPS["mass"]["g"] +gram.ld_id = ONTOMAPS["mass"]["g"] +mg.ld_id = ONTOMAPS["mass"]["mg"] +ug.ld_id = ONTOMAPS["mass"]["ug"] +ng.ld_id = ONTOMAPS["mass"]["ng"] + +# Volume +litre = UnitDefinition(base_units=[Unit.litre()])._get_name() +l = UnitDefinition(base_units=[Unit.litre()])._get_name() # noqa: E741 +ml = UnitDefinition(base_units=[m * Unit.litre()])._get_name() +ul = UnitDefinition(base_units=[u * Unit.litre()])._get_name() +nl = UnitDefinition(base_units=[n * Unit.litre()])._get_name() + +## Ontology + +l.ld_id = ONTOMAPS["volume"]["litre"] +litre.ld_id = ONTOMAPS["volume"]["litre"] +ml.ld_id = ONTOMAPS["volume"]["ml"] +ul.ld_id = ONTOMAPS["volume"]["ul"] +nl.ld_id = ONTOMAPS["volume"]["nl"] + +# Time +second = UnitDefinition(base_units=[Unit.second()])._get_name() +s = UnitDefinition(base_units=[Unit.second()])._get_name() +minute = UnitDefinition(base_units=[Unit.minute()])._get_name() +min = UnitDefinition(base_units=[Unit.minute()])._get_name() +hour = UnitDefinition(base_units=[Unit.hour()])._get_name() +h = UnitDefinition(base_units=[Unit.hour()])._get_name() +day = UnitDefinition(base_units=[Unit.day()])._get_name() +d = UnitDefinition(base_units=[Unit.day()])._get_name() + +## Ontology +s.ld_id = ONTOMAPS["time"]["s"] +second.ld_id = ONTOMAPS["time"]["s"] +minute.ld_id = ONTOMAPS["time"]["min"] +min.ld_id = ONTOMAPS["time"]["min"] +hour.ld_id = ONTOMAPS["time"]["hour"] +h.ld_id = ONTOMAPS["time"]["hour"] +day.ld_id = ONTOMAPS["time"]["day"] +d.ld_id = ONTOMAPS["time"]["day"] + +# Temperature + +kelvin = UnitDefinition(base_units=[Unit.kelvin()])._get_name() +K = UnitDefinition(base_units=[Unit.kelvin()])._get_name() + +## Ontology + +K.ld_id = ONTOMAPS["temperature"]["K"] +kelvin.ld_id = ONTOMAPS["temperature"]["K"] diff --git a/pyenzyme/units/units.py b/pyenzyme/units/units.py new file mode 100644 index 00000000..e1902c2e --- /dev/null +++ b/pyenzyme/units/units.py @@ -0,0 +1,367 @@ +from enum import Enum +from functools import partial + +from pydantic import model_validator +from pyenzyme.model import ( + UnitDefinition as _UnitDefinition, + BaseUnit as _BaseUnit, + UnitType, +) + +UNIT_OF_MEAS_TYPE = "OBO:UO_0000000" +NAME_MAPS = { + UnitType.LITRE: "l", + UnitType.MOLE: "mol", + UnitType.SECOND: "s", + UnitType.GRAM: "g", + UnitType.KELVIN: "K", +} + + +def _is_unit(other: object) -> bool: + """Check if the given object is an instance of 'unit'. + + Args: + other (object): The object to check. + + Returns: + bool: True if the object is an instance of 'unit', False otherwise. + """ + return other.__class__.__name__ == "unit" + + +def set_scale(unit: _BaseUnit, scale: int) -> _BaseUnit: + """Set the scale of a unit. + + Args: + unit (_BaseUnit): The unit to set the scale for. + scale (int): The scale value to set. + + Returns: + _BaseUnit: The unit with the updated scale. + """ + unit.scale = scale + return unit + + +class Prefix(Enum): + """Enumeration for unit prefixes with corresponding scales.""" + + k = partial(set_scale, scale=3) + m = partial(set_scale, scale=-3) + u = partial(set_scale, scale=-6) + n = partial(set_scale, scale=-9) + + def __mul__(self, other: _BaseUnit) -> _BaseUnit: + """Multiply prefix with a BaseUnit. + + When multiplying a prefix with a BaseUnit, the scale of the BaseUnit is updated. + + Args: + other (_BaseUnit): The other operand, which should be a BaseUnit. + + Returns: + _BaseUnit: The resulting unit with the prefix applied. + + Raises: + TypeError: If the other operand is not a BaseUnit. + """ + if isinstance(other, _BaseUnit): + return self.value(other) + + raise TypeError( + f"unsupported operand type(s) for *: 'Prefix' and '{type(other)}'" + ) + + +class UnitDefinition(_UnitDefinition): + """Extended UnitDefinition class with additional operations.""" + + @model_validator(mode="after") + def set_name_and_type(self): + """Initialize the UnitDefinition object.""" + self._get_name() + self.ld_type = [UNIT_OF_MEAS_TYPE] + return self + + def __rtruediv__(self, other: object) -> "UnitDefinition": + """Right division operation to handle unit division. + + If the other operand is a UnitDefinition, the base units are appended to the current unit. + If the other operand is a BaseUnit, the base unit is appended to the current unit. + + Args: + other (object): The numerator in the division. + + Returns: + UnitDefinition: The resulting unit after division. + + Raises: + TypeError: If the other operand type is unsupported. + """ + for base in self.base_units: + base.exponent = -abs(base.exponent) + + if isinstance(other, UnitDefinition): + self.base_units.extend(other.base_units) + elif isinstance(other, _BaseUnit): + self.base_units.append(other) + + self._get_name() + + return self + + def __truediv__(self, other: object) -> "UnitDefinition": + """Division operation to handle unit division. + + If the other operand is a UnitDefinition, the base units are appended to the current unit. + If the other operand is a BaseUnit, the base unit is appended to the current unit. + + Args: + other (object): The numerator in the + + Returns: + UnitDefinition: The resulting unit after division. + + Raises: + TypeError: If the other operand type is unsupported. + + """ + + if isinstance(other, UnitDefinition): + for base in other.base_units: + base.exponent = -abs(base.exponent) + self.base_units.extend(other.base_units) + elif isinstance(other, _BaseUnit): + other.exponent = -abs(other.exponent) + self.base_units.append(other) + + self._get_name() + + return self + + def __mul__(self, other: object) -> "UnitDefinition": + """Multiplication operation to handle unit multiplication. + + Args: + other (object): The multiplier in the multiplication. + + Returns: + UnitDefinition: The resulting unit after multiplication. + + Raises: + TypeError: If the other operand type is unsupported. + """ + if isinstance(other, (int, float)): + for base in self.base_units: + if base.multiplier: + base.multiplier *= other + else: + base.multiplier = other + + self._get_name() + + return self + + raise TypeError( + f"unsupported operand type(s) for *: 'UnitDefinition' and '{type(other)}'" + ) + + def _get_name(self): + """Get the name of the unit based on the base units.""" + self.name = str(self) + + return self + + def __str__(self) -> str: + """String representation of the UnitDefinition. + + Returns: + str: The string representation of the unit. + + Raises: + ValueError: If no base units are found. + """ + + numerator = [ + self._map_prefix(base.scale) + + self._map_name(base.kind) + + self._exponent(base.exponent) + for base in self.base_units + if base.exponent > 0 + ] + denominator = [ + self._map_prefix(base.scale) + + self._map_name(base.kind) + + self._exponent(base.exponent) + for base in self.base_units + if base.exponent < 0 + ] + + numerator_str = " ".join(numerator) if numerator else "" + denominator_str = " ".join(denominator) if denominator else "" + + if numerator_str and denominator_str: + return f"{numerator_str} / {denominator_str}" + elif numerator_str: + return numerator_str + elif denominator_str: + return f"1 / {denominator_str}" + + raise ValueError("No base units found") + + @staticmethod + def _map_prefix(scale: int | None) -> str: + """Map a scale to its corresponding prefix. + + Args: + scale (int): The scale value to map. + + Returns: + str: The corresponding prefix. + """ + + if scale is None: + return "" + + mapping = { + 3: "k", + -3: "m", + -6: "u", + -9: "n", + } + + return mapping.get(scale, "") + + @staticmethod + def _map_name(kind: UnitType) -> str: + return NAME_MAPS.get(kind, kind.name.capitalize()) + + @staticmethod + def _exponent(exponent: int) -> str: + """Format the exponent for display. + + Args: + exponent (int): The exponent value to format. + + Returns: + str: The formatted exponent string. + """ + if abs(exponent) == 1: + return "" + + return f"^{abs(exponent)}" + + +class BaseUnit(_BaseUnit): + """Extended BaseUnit class with additional operations.""" + + def __rtruediv__(self, other: object) -> "UnitDefinition | BaseUnit": + """Right division operation to handle unit division. + + Args: + other (object): The numerator in the division. + + Returns: + UnitDefinition: The resulting unit after division. + + Raises: + TypeError: If the other operand type is unsupported. + """ + if isinstance(other, UnitDefinition): + self.exponent = -self.exponent + other.base_units.append(self) + + other._get_name() + + return other + elif isinstance(other, (int, float)): + self.exponent = -self.exponent + return self + + raise TypeError( + f"unsupported operand type(s) for /: 'BaseUnit' and '{type(other)}'" + ) + + def __truediv__(self, other: object) -> "UnitDefinition": + """Division operation to handle unit division. + + Args: + other (object): The denominator in the division. + + Returns: + UnitDefinition: The resulting unit after division. + + Raises: + TypeError: If the other operand type is unsupported. + """ + if isinstance(other, BaseUnit): + other.exponent = -other.exponent + return UnitDefinition(base_units=[self, other])._get_name() + elif isinstance(other, UnitDefinition): + for base_unit in other.base_units: + base_unit.exponent = -base_unit.exponent + other.base_units.append(self) + other._get_name() + + return other + + raise TypeError( + f"unsupported operand type(s) for /: 'BaseUnit' and '{type(other)}'" + ) + + def __pow__(self, other: int) -> "_BaseUnit": + """Exponentiation operation to handle unit exponentiation. + + Args: + other (int): The exponent value. + + Returns: + _BaseUnit: The resulting unit after exponentiation. + + Raises: + TypeError: If the exponent is not an integer. + """ + if isinstance(other, int): + self.exponent = other + return self + + raise TypeError( + f"unsupported operand type(s) for **: 'BaseUnit' and '{type(other)}'" + ) + + def __mul__(self, other: object) -> object: + """Multiplication operation to handle unit multiplication. + + Args: + other (object): The multiplier in the multiplication. + + Returns: + object: The resulting unit after multiplication. + + Raises: + TypeError: If the other operand type is unsupported. + """ + if isinstance(other, BaseUnit): + if self.exponent < 0 or other.exponent < 0: + self.exponent = abs(self.exponent) + other.exponent = abs(other.exponent) + + return UnitDefinition(base_units=[self, other])._get_name() + elif isinstance(other, UnitDefinition): + other.base_units.append(self) + other._get_name() + + return other + elif isinstance(other, Prefix): + return other * self + elif isinstance(other, (int, float)): + if self.multiplier: + self.multiplier *= other + else: + self.multiplier = other + return self + + raise TypeError( + f"unsupported operand type(s) for *: 'BaseUnit' and '{type(other)}'" + ) diff --git a/pyenzyme/xmlutils.py b/pyenzyme/xmlutils.py new file mode 100644 index 00000000..bbcfad80 --- /dev/null +++ b/pyenzyme/xmlutils.py @@ -0,0 +1,78 @@ +import xml.etree.ElementTree as ET +import xml.dom.minidom as minidom + + +def map_to_xml(root: ET.Element, mappings: dict, namespace: str): + """ + Maps a dictionary to XML elements and appends them to the root element. + + Args: + root (ET.Element): The root element to which sub-elements are appended. + mappings (dict): The dictionary containing the key-value mappings to convert to XML. + """ + + for key, value in mappings.items(): + if value is None: + continue + if key.startswith("@"): + root.attrib[key[1:]] = str(value) + continue + + subelement = ET.Element(f"{{{namespace}}}{key}") + + if isinstance(value, dict): + process_dict_value(subelement, value) + elif key.startswith("@"): + subelement.attrib[key[1:]] = str(value) + else: + subelement.text = str(value) + + if not _is_empty(subelement): + root.append(subelement) + + +def _is_empty(element: ET.Element): + """Checks if an element and its sub elements are empty.""" + + return all( + [ + len(element.attrib) == 0, + element.text is None or element.text.strip() == "", + all(_is_empty(child) for child in element), + ] + ) + + +def process_dict_value(subelement: ET.Element, value: dict): + """ + Processes a dictionary value and adds it as attributes or text to a subelement. + + Args: + subelement (ET.Element): The subelement to which attributes or text are added. + value (dict): The dictionary containing the subkey-subvalue mappings. + """ + for subkey, subvalue in value.items(): + if not subvalue: + continue + + if subkey.startswith("@"): + subelement.attrib[subkey[1:]] = str(subvalue) + else: + subelement.text = str(subvalue) + + +def serialize_to_pretty_xml_string(element: ET.Element | None) -> str | None: + """Serialize the ElementTree element to a pretty-printed byte string.""" + + if element is None: + return None + + rough_string = ET.tostring(element, "utf-8", xml_declaration=False) + reparsed = minidom.parseString(rough_string) + + return "\n".join(reparsed.toprettyxml(indent="\t").split("\n")[1:]).strip() + + +def register_namespaces(nsmap: dict): + for prefix, uri in nsmap.items(): + ET.register_namespace(prefix, uri) From 14f25a52b335b3ecd52c03455a370341f136896f Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 22 Jun 2024 17:56:09 +0200 Subject: [PATCH 005/172] migrate to pyproject --- pyproject.toml | 33 +++++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) create mode 100644 pyproject.toml diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 00000000..7ce9dee0 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,33 @@ +[tool.poetry] +name = "pyenzyme" +version = "2.0.0" +description = "" +authors = ["Jan Range "] +license = "MIT" +readme = "README.md" +include = ["pyenzyme/units/ontomaps.toml", "pyenzyme/sbml/mappings.toml"] + +[tool.poetry.dependencies] +python = "^3.10" +python-libsbml = "^5.20.2" +toml = "^0.10.2" +rich = "^13.7.1" +pandas = "^2.2.2" +pydantic = "^2.7.4" +loguru = "^0.7.2" +rdflib = "7.0.0" +sympy = "^1.12.1" + +[tool.poetry.group.neo4j.dependencies] +neo4j = "^5.21.0" + +[tool.poetry.group.excel.dependencies] +openpyxl = "^3.1.4" + +[tool.poetry.group.tests.dependencies] +openpyxl = "^3.1.4" +pytest = "^8.2.2" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" From 63016176390749f2936409940a9335bfecdd495b Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 22 Jun 2024 17:56:36 +0200 Subject: [PATCH 006/172] linting and testing workflows --- .github/workflows/lint.yml | 8 ++++++++ .github/workflows/unit-tests.yaml | 27 +++++++++++++++++++++++++++ 2 files changed, 35 insertions(+) create mode 100644 .github/workflows/lint.yml create mode 100644 .github/workflows/unit-tests.yaml diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml new file mode 100644 index 00000000..b2681389 --- /dev/null +++ b/.github/workflows/lint.yml @@ -0,0 +1,8 @@ +name: Ruff +on: [push, pull_request] +jobs: + ruff: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: chartboost/ruff-action@v1 diff --git a/.github/workflows/unit-tests.yaml b/.github/workflows/unit-tests.yaml new file mode 100644 index 00000000..7cfb984d --- /dev/null +++ b/.github/workflows/unit-tests.yaml @@ -0,0 +1,27 @@ +name: Unit Tests + +on: [push] + +jobs: + build: + runs-on: ubuntu-latest + strategy: + max-parallel: 4 + matrix: + python-version: ["3.10", "3.11", "3.12"] + + steps: + - name: Checkout + uses: actions/checkout@v4 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v4 + with: + python-version: ${{ matrix.python-version }} + - name: Install dependencies + run: | + python3 -m pip install --upgrade pip + python3 -m pip install pytest-cov openpyxl + pip3 install -e . + - name: Test with pytest + run: | + python3 -m pytest -v From 0c979c54952684287bb235e485af02a0892a1c35 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 22 Jun 2024 17:56:58 +0200 Subject: [PATCH 007/172] update fixtures --- tests/conftest.py | 75 +++++------------------------------------------ 1 file changed, 7 insertions(+), 68 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index 57c547e1..34f3d1b8 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,77 +1,16 @@ import pytest -import json -import yaml - -from pyenzyme.enzymeml.core.enzymemldocument import EnzymeMLDocument -from pyenzyme.enzymeml.core.measurement import Measurement -from pyenzyme.enzymeml.core.measurementData import MeasurementData -from pyenzyme.enzymeml.core.replicate import Replicate -from pyenzyme.enzymeml.core.enzymereaction import EnzymeReaction -from pyenzyme.enzymeml.tools.unitcreator import UnitCreator -from pyenzyme.enzymeml.models.kineticmodel import KineticModel, KineticParameter +import pyenzyme as pe @pytest.fixture -def enzmldoc(): - return EnzymeMLDocument.fromJSON( - open("./tests/fixtures/enzmldoc_object.json").read() +def measurement_valid(): + return pe.EnzymeMLDocument.model_validate_json( + open("tests/fixtures/tabular/measurement_valid.json").read() ) @pytest.fixture -def reaction(): - return EnzymeReaction.fromJSON(open("./tests/fixtures/reaction_object.json").read()) - - -@pytest.fixture -def measurement(): - return Measurement.fromJSON(open("./tests/fixtures/measurement_object.json").read()) - - -@pytest.fixture -def measurement_data(): - return MeasurementData.fromJSON( - open("./tests/fixtures/measurement_data_object.json").read() +def measurement_invalid(): + return pe.EnzymeMLDocument.model_validate_json( + open("tests/fixtures/tabular/measurement_invalid.json").read() ) - - -@pytest.fixture -def replicate(): - return Replicate.fromJSON(open("./tests/fixtures/replicate_object.json").read()) - - -@pytest.fixture -def correct_model(): - parameters = [KineticParameter(name="x", value=10.0, unit="mmole / l")] - return KineticModel(name="SomeModel", equation="s0 * x", parameters=parameters) - - -@pytest.fixture -def faulty_model(): - parameters = [KineticParameter(name="x", value=10.0, unit="mmole / l")] - return KineticModel(name="SomeModel", equation="s10 * x", parameters=parameters) - - -@pytest.fixture -def always_pass(): - return yaml.safe_load(open("./tests/fixtures/validator_always_passes.yaml")) - - -@pytest.fixture -def should_fail(): - return yaml.safe_load(open("./tests/fixtures/validator_should_fail.yaml")) - - -@pytest.fixture -def template_example(): - return EnzymeMLDocument.fromJSON(open("tests/fixtures/template_result.json").read()) - - -@pytest.fixture -def creator(): - return UnitCreator() - - -@pytest.fixture -def blank_enzmldoc(): - return EnzymeMLDocument(name="Test") From 28697dff969f4f48746e99378b6159b9d4905fa8 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 22 Jun 2024 17:57:54 +0200 Subject: [PATCH 008/172] ignore mac things --- .gitignore | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/.gitignore b/.gitignore index bde4b7b1..9a748083 100644 --- a/.gitignore +++ b/.gitignore @@ -138,8 +138,11 @@ dmypy.json cython_debug/ pyenzyme/Examples/getJSONValid.py -# test dirs +# test dirs tests/tmp # PyCharm IDE -.idea/ \ No newline at end of file +.idea/ + +# Mac OS +.DS_Store From a924ce60723b0808774d2b9092f47151cb7c8ab9 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 22 Jun 2024 17:58:02 +0200 Subject: [PATCH 009/172] fix typos --- templates/EnzymeML_Validation_Template.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/templates/EnzymeML_Validation_Template.yaml b/templates/EnzymeML_Validation_Template.yaml index a9a04df3..9937caa2 100644 --- a/templates/EnzymeML_Validation_Template.yaml +++ b/templates/EnzymeML_Validation_Template.yaml @@ -140,7 +140,7 @@ protein_dict: - null unit: mandatory: true - description: Unit of the proteins intial concentration. + description: Unit of the proteins initial concentration. range: min: null max: null @@ -230,7 +230,7 @@ complex_dict: - null unit: mandatory: true - description: Unit of the proteins intial concentration. + description: Unit of the proteins initial concentration. range: min: null max: null @@ -279,7 +279,7 @@ reactant_dict: - null unit: mandatory: true - description: Unit of the reactant intial concentration. + description: Unit of the reactant initial concentration. range: min: null max: null From 984847e6b852224a28ef14f273022fe1054f1451 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 22 Jun 2024 17:58:07 +0200 Subject: [PATCH 010/172] update readme --- README.md | 62 +++++-------------------------------------------------- 1 file changed, 5 insertions(+), 57 deletions(-) diff --git a/README.md b/README.md index c3f21845..93716b65 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,7 @@ -

+

PyEnzyme is the interface to the data model EnzymeML and offers a convenient way to document and model research data. Lightweight syntax for rapid development of data management solution in enzymology and biocatalysis.

### 🧬 Features @@ -17,7 +17,7 @@ PyEnzyme is the interface to the data model EnzymeML and offers a conveni - **Visualize** experimental results for inspection and publication. ## ⚡️ Quick start -Get started with PyEnzyme by running the following command +Get started with PyEnzyme by running the following command ``` # Using PyPI @@ -53,71 +53,19 @@ python -m pip install "pyenzyme[dataverse]" python -m pip install "pyenzyme[all]" ``` -### 🚀 PyEnzyme's REST-API - -If you want to deploy PyEnzyme as a server and use our REST-API to access PyEnzyme from any HTTP-capable programming language, use our official [docker image](https://hub.docker.com/r/enzymeml/pyenzyme/tags) or simply copy and past the following. - -```bash -docker pull enzymeml/pyenzyme:latest -docker run -p 8000:8000 enzymeml/pyenzyme:latest -``` -See the [API documentation](https://api.enzymeml.org) for details on our endpoints. You can also use our self-hosted PyEnzyme instance if you have no server space - Use https://api.enzymeml.org as base URL to the endpoints. - ## ⚙️ Example code This example will demonstrate how to create a simple EnzymeML document using PyEnzyme and how to use initializers from official databases **Chebi** and **UniProt** to gather metadata. For more examples, please visit our [documentation](https://pyenzyme.readthedocs.io/en/latest/index.html#) (Work in progress) ```python -import pyenzyme as pe - -# Initialize your document -enzmldoc = pe.EnzymeMLDocument(name="MyDoc") - -# Create a vessel and add it to the document -vessel = pe.Vessel(name="Falcon Tube", volume=10.0, unit="ml") -vessel_id = enzmldoc.addVessel(vessel) - -# Set up reactants and proteins from databases -protein = pe.Protein.fromUniProtID( - uniprotid="P07327", vessel_id=vessel_id, - init_conc=10.0, unit="fmole / l" -) - -substrate = pe.Reactant.fromChebiID( - chebi_id="CHEBI:16236", vessel_id=vessel_id, - init_conc=200.0, unit="mmole / l" -) - -product = pe.Reactant.fromChebiID( - chebi_id="CHEBI:15343", vessel_id=vessel_id, - init_conc=0.0, unit="mmole / l" -) - -# ... and add each to the document -protein_id = enzmldoc.addProtein(protein) -substrate_id = enzmldoc.addReactant(substrate) -product_id = enzmldoc.addReactant(product) - -# Build the reaction -reaction = pe.EnzymeReaction.fromEquation( - equation="ethanol -> acetaldehyde", - modifiers=[protein_id], - name="Alocohol dehydrogenation", - enzmldoc=enzmldoc -) - -# ... and add it to the document -reaction_id = enzmldoc.addReaction(reaction) - -# Finally, save the document to an OMEX archive -enzmldoc.toFile(".", name="ADH Experiment") +# To be added for V2 ``` (Code should run as it is) ## 📖 Documentation and more examples -Explore all the features of **PyEnzyme** in our [documentation](https://pyenzyme.readthedocs.io/en/latest/index.html#) and take part in [Discussions](https://github.com/EnzymeML/PyEnzyme/discussions) and/or [Issues](https://github.com/EnzymeML/PyEnzyme/issues). +Explore all the features of **PyEnzyme** in our [documentation](https://pyenzyme.readthedocs.io/en/latest/index.html#) and take part in [Discussions](https://github.com/EnzymeML/PyEnzyme/discussions) and/or [Issues](https://github.com/EnzymeML/PyEnzyme/issues). ## ⚠️ License -`PyEnzyme` is free and open-source software licensed under the [BSD 2-Clause License](https://github.com/EnzymeML/PyEnzyme/blob/main/LICENSE). +`PyEnzyme` is free and open-source software licensed under the [BSD 2-Clause License](https://github.com/EnzymeML/PyEnzyme/blob/main/LICENSE). From 51ad12f552f9e083b28d8ff176f524241c5b79cb Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 22 Jun 2024 17:58:21 +0200 Subject: [PATCH 011/172] add new tests --- tests/__init__.py | 1 + tests/fixtures/tabular/data.csv | 23 + tests/fixtures/tabular/data.xlsx | Bin 0 -> 9432 bytes tests/fixtures/tabular/data_invalid.csv | 23 + tests/fixtures/tabular/data_invalid.xlsx | Bin 0 -> 9383 bytes tests/fixtures/tabular/data_invalid_chars.csv | 23 + tests/fixtures/tabular/measurement_export.csv | 0 .../fixtures/tabular/measurement_invalid.json | 208 +++++++ tests/fixtures/tabular/measurement_valid.json | 523 ++++++++++++++++++ tests/integration/__init__.py | 0 tests/unit/__init__.py | 1 + tests/unit/test_equations.py | 256 +++++++++ tests/unit/test_tabular.py | 147 +++++ 13 files changed, 1205 insertions(+) create mode 100644 tests/fixtures/tabular/data.csv create mode 100644 tests/fixtures/tabular/data.xlsx create mode 100644 tests/fixtures/tabular/data_invalid.csv create mode 100644 tests/fixtures/tabular/data_invalid.xlsx create mode 100644 tests/fixtures/tabular/data_invalid_chars.csv create mode 100644 tests/fixtures/tabular/measurement_export.csv create mode 100644 tests/fixtures/tabular/measurement_invalid.json create mode 100644 tests/fixtures/tabular/measurement_valid.json create mode 100644 tests/integration/__init__.py create mode 100644 tests/unit/__init__.py create mode 100644 tests/unit/test_equations.py create mode 100644 tests/unit/test_tabular.py diff --git a/tests/__init__.py b/tests/__init__.py index e69de29b..8b137891 100644 --- a/tests/__init__.py +++ b/tests/__init__.py @@ -0,0 +1 @@ + diff --git a/tests/fixtures/tabular/data.csv b/tests/fixtures/tabular/data.csv new file mode 100644 index 00000000..aac51d84 --- /dev/null +++ b/tests/fixtures/tabular/data.csv @@ -0,0 +1,23 @@ +time;s0;s1;id +0.0;0.0;10.0;m0 +1.0;1.0;9.0;m0 +2.0;2.0;8.0;m0 +3.0;3.0;7.0;m0 +4.0;4.0;6.0;m0 +5.0;5.0;5.0;m0 +6.0;6.0;4.0;m0 +7.0;7.0;3.0;m0 +8.0;8.0;2.0;m0 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+ "exponent": -1, + "scale": 1.0 + } + ] + }, + "time_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000010", + "@type": [ + "OBO:UO_0000000" + ], + "name": "s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/8aec2395-2071-48e9-85ed-120847dfe64a", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": 1, + "scale": 1.0 + } + ] + }, + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0 + ], + "data": [ + 0.0, + 0.2, + 0.4, + 0.6000000000000001, + 0.8, + 1.0, + 1.2000000000000002, + 1.4000000000000001, + 1.6, + 1.8 + ], + "is_calculated": false + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@type": "@id" + } + }, + "@id": "enzml:MeasurementData/7af21a16-9cab-49e2-9250-278a4a57c91f", + "@type": [ + "enzml:MeasurementData" + ], + "species_id": "s2", + "init_conc": 100.0, + "data_type": "conc", + "data_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000063", + "@type": [ + "OBO:UO_0000000" + ], + "name": "mmol / l", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/b943545d-894b-445c-a745-c1215180ec8d", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "mole", + "exponent": 1, + "scale": -3.0 + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/c85ac147-42ac-40d6-bc03-172be2f0d7ad", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "litre", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "time_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000010", + "@type": [ + "OBO:UO_0000000" + ], + "name": "s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/8aec2395-2071-48e9-85ed-120847dfe64a", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": 1, + "scale": 1.0 + } + ] + }, + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0 + ], + "data": [ + 100.0, + 99.0, + 98.0, + 97.0, + 96.0, + 95.0, + 94.0, + 93.0, + 92.0, + 91.0 + ], + "is_calculated": false + } + ] + } + ], + "equations": [], + "parameters": [] +} \ No newline at end of file diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py new file mode 100644 index 00000000..8b137891 --- /dev/null +++ b/tests/unit/__init__.py @@ -0,0 +1 @@ + diff --git a/tests/unit/test_equations.py b/tests/unit/test_equations.py new file mode 100644 index 00000000..3556555d --- /dev/null +++ b/tests/unit/test_equations.py @@ -0,0 +1,256 @@ +import pytest + +from pyenzyme.equations._math import build_equation, build_equations +from pyenzyme.equations._chem import build_reaction, build_reactions +from pyenzyme.units import M, second +from pyenzyme.model import EquationType + + +class TestMathEquations: + def test_parse_equation(self): + # Arrange + equation = "s1'(t) = kcat * p0(t) * s0(t)" + + # Act + equation = build_equation(equation, unit=M / second) + + # Assert + expected_vars = ["p0", "s0"] + expected_params = ["kcat"] + + assert ( + equation.species_id == "s1" + ), f"Species ID is not correct. Got {equation.species_id}" + assert ( + equation.equation == "kcat*p0*s0" + ), "Equation is not correct. Got {equation.equation.equation}" + assert equation.parameters[0].name == "kcat", "Parameter name is not correct" + assert ( + equation.parameters[0].symbol == "kcat" + ), "Parameter symbol is not correct" + + for var in equation.variables: + assert var.name in expected_vars + assert var.symbol in expected_vars + + for param in equation.parameters: + assert param.name in expected_params + assert param.symbol in expected_params + + def test_invalid_equation_no_left(self): + # Arrange + equation = "kcat * p0(t) * s0(t)" + + # Act + with pytest.raises(ValueError): + equation = build_equation(equation, unit=M / second) + + def test_invalid_equation_no_right(self): + # Arrange + equation = "s1'(t) =" + + # Act + with pytest.raises(ValueError): + equation = build_equation(equation, unit=M / second) + + def test_invalid_equation_no_equals(self): + # Arrange + equation = "s1'(t) kcat * p0(t) * s0(t)" + + # Act + with pytest.raises(ValueError): + equation = build_equation(equation, unit=M / second) + + def test_equation_with_funs(self): + # Arrange + equation = "s1'(t) = kcat * exp(p0(t) * t)" + + # Act + equation = build_equation(equation, unit=M / second) + + # Assert + assert ( + equation.species_id == "s1" + ), f"Species ID is not correct. Got {equation.species_id}" + assert ( + equation.equation == "kcat*exp(p0*t)" + ), f"Equation is not correct. Got {equation.equation}" + + def test_equation_with_fun_only_t(self): + # Arrange + equation = "s1'(t) = kcat * exp(t)" + + # Act + equation = build_equation(equation, unit=M / second) + + # Assert + assert ( + equation.species_id == "s1" + ), f"Species ID is not correct. Got {equation.species_id}" + assert ( + equation.equation == "kcat*exp(t)" + ), f"Equation is not correct. Got {equation.equation}" + + def test_multiple_equations(self): + # Arrange + equations = [ + "s1'(t) = kcat * E_tot * s0(t)", + "E_tot = p0(t) + p1(t)", + ] + + # Act + units = [M / second, M] + equations = build_equations(*equations, units=units) + + # Assert + assert len(equations) == 2, f"Expected 2 equations. Got {len(equations)}" + + def test_init_assigment_equation(self): + # Arrange + equation = "E_tot = p0 + p1" + + # Act + equation = build_equation(equation, unit=M) + + # Assert + assert ( + equation.species_id == "E_tot" + ), f"Species ID is not correct. Got {equation.species_id}" + assert ( + equation.equation == "p0 + p1" + ), f"Equation is not correct. Got {equation.equation}" + assert ( + equation.equation_type == EquationType.INITIAL_ASSIGNMENT + ), f"Equation type is not correct. Got {equation.equation_type}" + + def test_assigment_equation(self): + # Arrange + equation = "E_tot(t) = p0 + p1" + + # Act + equation = build_equation(equation, unit=M) + + # Assert + assert ( + equation.species_id == "E_tot" + ), f"Species ID is not correct. Got {equation.species_id}" + assert ( + equation.equation == "p0 + p1" + ), f"Equation is not correct. Got {equation.equation}" + assert ( + equation.equation_type == EquationType.ASSIGNMENT + ), f"Equation type is not correct. Got {equation.equation_type}" + + +class TestChemEqautions: + def test_build_irrev_reaction(self): + # Arrange + reaction_str = "2 s1 + s2 -> 2 s3 + s4" + + # Act + reac = build_reaction( + id="R1", + name="Reaction 1", + scheme=reaction_str, + ) + + # Assert + expected = [ + (-2.0, "s1"), + (-1.0, "s2"), + (2.0, "s3"), + (1.0, "s4"), + ] + + assert reac.id == "R1", f"Reaction ID is not correct. Got {reac.id}" + assert ( + reac.name == "Reaction 1" + ), f"Reaction name is not correct. Got {reac.name}" + + for stoich, species in expected: + element = next( + filter(lambda x: x.species_id == species, reac.species), None + ) + + if not element: + assert False, f"Species {species} not found in reaction" + + assert ( + element.stoichiometry == stoich + ), f"Stoichiometry for {species} is not correct. Got {element.stoichiometry}" + + assert ( + element.species_id == species + ), f"Species ID for {species} is not correct. Got {element.species_id}" + + def test_build_rev_reaction(self): + # Arrange + reaction_str = "s1 + s2 <=> s3 + s4" + + # Act + reac = build_reaction( + id="R1", + name="Reaction 1", + scheme=reaction_str, + ) + + # Assert + assert reac.reversible is True, "Reaction is not reversible" + + def test_build_w_modifiers(self): + # Arrange + reaction_str = "s1 + s2 -> s3 + s4" + + # Act + reac = build_reaction( + id="R1", + name="Reaction 1", + scheme=reaction_str, + modifiers=["s5", "s6"], + ) + + # Assert + assert ( + len(reac.modifiers) == 2 + ), f"Expected 2 modifiers. Got {len(reac.modifiers)}" + + def test_build_invalid_reaction(self): + # Arrange + reaction_str = "s1 + s2 + s3" + + # Act + with pytest.raises(ValueError): + build_reaction("R1", "Reaction 1", reaction_str) + + def test_build_multiple_reactions(self): + # Arrange + reactions = [ + "s1 + s2 -> s3 + s4", + "s2 -> s5", + ] + + # Act + reacs = build_reactions(*reactions) + + # Assert + assert len(reacs) == 2, f"Expected 2 reactions. Got {len(reacs)}" + + def test_build_multiple_reactions_w_modifiers(self): + # Arrange + reactions = [ + "s1 + s2 -> s3 + s4", + "s2 -> s5", + ] + + # Act + modifiers = {"r1": ["p0"]} + reacs = build_reactions(*reactions, modifiers=modifiers) + + # Assert + assert len(reacs) == 2, f"Expected 2 reactions. Got {len(reacs)}" + + r0 = reacs[0] + assert len(r0.modifiers) == 1, f"Expected 1 modifier. Got {len(r0.modifiers)}" + + r1 = reacs[1] + assert len(r1.modifiers) == 0, f"Expected 0 modifiers. Got {len(r1.modifiers)}" diff --git a/tests/unit/test_tabular.py b/tests/unit/test_tabular.py new file mode 100644 index 00000000..821faa32 --- /dev/null +++ b/tests/unit/test_tabular.py @@ -0,0 +1,147 @@ +import pytest +import pandas as pd +import pyenzyme as pe + +from pyenzyme.units import mM, s +from pyenzyme.tabular import _measurement_to_pandas, to_pandas + + +class TestTabularExport: + def test_single_measurement(self, measurement_valid): + """Test that a single measurement can be converted to a pandas DataFrame""" + + # Act + df = _measurement_to_pandas(measurement_valid.measurements[0]) + + # Assert + assert isinstance(df, pd.DataFrame), f"Expected a DataFrame. Got {type(df)}" + + def test_invalid_measurement(self, measurement_invalid): + """Test that an invalid measurement raises a ValueError""" + + # Act + with pytest.raises(ValueError): + _measurement_to_pandas(measurement_invalid.measurements[0]) + + def test_multiple_measurements(self, measurement_valid): + """Test that multiple measurements can be converted to a pandas DataFrame""" + + # Act + df = to_pandas(measurement_valid) + + # Assert + total_time_len = sum( + [len(m.species[0].time) for m in measurement_valid.measurements] + ) + + assert ( + df.shape[0] == total_time_len + ), f"Expected {total_time_len} rows. Got {df.shape[0]}" + assert df.shape[1] == 4, f"Expected 4 columns. Got {df.shape[1]}" + assert isinstance(df, pd.DataFrame), f"Expected a DataFrame. Got {type(df)}" + assert ( + df["id"].nunique() == 2 + ), f"Expected 2 unique IDs. Got {df['id'].nunique()}" + + for measurement in measurement_valid.measurements: + df_sub = df[df["id"] == measurement.id] + assert df_sub.shape[0] == len( + measurement.species[0].time + ), f"Expected {len(measurement.species[0].time)} rows. Got {df_sub.shape[0]}" + + for species in measurement.species: + assert ( + species.species_id in df.columns + ), f"Expected column for {species}" + + +class TestTabularImport: + def test_csv_import(self): + """Test that a CSV file can be imported to a pandas DataFrame""" + # Act + meas = pe.read_csv("tests/fixtures/tabular/data.csv", data_unit=mM, time_unit=s) + + # Assert + assert len(meas) == 2, f"Expected 2 measurements. Got {len(meas)}" + + for m in meas: + assert len(m.species) == 2, f"Expected 2 species. Got {len(m.species)}" + assert ( + len(m.species[0].time) == 11 + ), f"Expected 10 time points. Got {len(m.species[0].time)}" + assert ( + len(m.species[1].time) == 11 + ), f"Expected 10 time points. Got {len(m.species[1].time)}" + assert ( + m.species[0].data_unit == mM + ), f"Expected mM. Got {m.species[0].data_unit}" + assert ( + m.species[0].time_unit == s + ), f"Expected s. Got {m.species[0].time_unit}" + assert ( + m.species[1].data_unit == mM + ), f"Expected mM. Got {m.species[1].data_unit}" + assert ( + m.species[1].time_unit == s + ), f"Expected s. Got {m.species[1].time_unit}" + + def test_excel_import(self): + """Test that a Excel file can be imported to a pandas DataFrame""" + # Act + meas = pe.read_excel( + "tests/fixtures/tabular/data.xlsx", data_unit=mM, time_unit=s + ) + + # Assert + assert len(meas) == 2, f"Expected 2 measurements. Got {len(meas)}" + + for m in meas: + assert len(m.species) == 2, f"Expected 2 species. Got {len(m.species)}" + assert ( + len(m.species[0].time) == 11 + ), f"Expected 10 time points. Got {len(m.species[0].time)}" + assert ( + len(m.species[1].time) == 11 + ), f"Expected 10 time points. Got {len(m.species[1].time)}" + assert ( + m.species[0].data_unit == mM + ), f"Expected mM. Got {m.species[0].data_unit}" + assert ( + m.species[0].time_unit == s + ), f"Expected s. Got {m.species[0].time_unit}" + assert ( + m.species[1].data_unit == mM + ), f"Expected mM. Got {m.species[1].data_unit}" + assert ( + m.species[1].time_unit == s + ), f"Expected s. Got {m.species[1].time_unit}" + + def test_invalid_types(self): + """Test that an invalid CSV raises a ValueError""" + # Act + with pytest.raises(AssertionError): + pe.read_csv( + "tests/fixtures/tabular/data_invalid_chars.csv", + data_unit=mM, + time_unit=s, + ) + + def test_invalid_csv(self): + """Test that an invalid CSV raises a ValueError""" + # Act + with pytest.raises(AssertionError): + pe.read_csv( + "tests/fixtures/tabular/data_invalid.csv", + data_unit=mM, + time_unit=s, + ) + + def test_invalid_excel(self): + """Test that an invalid Excel raises a ValueError""" + # Act + with pytest.raises(AssertionError): + pe.read_excel( + "tests/fixtures/tabular/data_invalid.xlsx", + data_unit=mM, + time_unit=s, + ) From 7622a8ad8f8ed283301f264935485bb3ea82431d Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 22 Jun 2024 18:03:29 +0200 Subject: [PATCH 012/172] only lint `pyenzyme` and `tests` --- .github/workflows/lint.yml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml index b2681389..07613b18 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/lint.yml @@ -6,3 +6,8 @@ jobs: steps: - uses: actions/checkout@v4 - uses: chartboost/ruff-action@v1 + with: + src: "./pyenzyme" + - uses: chartboost/ruff-action@v1 + with: + src: "./tests" From ab29d57ceb50430e4ee2b90fff5496ba7aeb7787 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 22 Jun 2024 18:14:27 +0200 Subject: [PATCH 013/172] add dev examples --- dev-examples/Readme.md | 12 + dev-examples/odes/data.tsv | 23 + dev-examples/odes/enzymeml.json | 1075 +++++++++++++++++++++++++ dev-examples/odes/sbml.xml | 184 +++++ dev-examples/reactions/data.tsv | 23 + dev-examples/reactions/enzymeml.json | 957 ++++++++++++++++++++++ dev-examples/reactions/sbml.xml | 144 ++++ dev-examples/sbml_export_odes.py | 43 + dev-examples/sbml_export_reactions.py | 44 + 9 files changed, 2505 insertions(+) create mode 100644 dev-examples/Readme.md create mode 100644 dev-examples/odes/data.tsv create mode 100644 dev-examples/odes/enzymeml.json create mode 100644 dev-examples/odes/sbml.xml create mode 100644 dev-examples/reactions/data.tsv create mode 100644 dev-examples/reactions/enzymeml.json create mode 100644 dev-examples/reactions/sbml.xml create mode 100644 dev-examples/sbml_export_odes.py create mode 100644 dev-examples/sbml_export_reactions.py diff --git a/dev-examples/Readme.md b/dev-examples/Readme.md new file mode 100644 index 00000000..c9c3843c --- /dev/null +++ b/dev-examples/Readme.md @@ -0,0 +1,12 @@ +# Dev Examples + +These examples are intended to be used during development towards 2.0.0 and will be removed in the final release. + +## How to run the examples + +Dev examples should be run from the root directory of the repository and will produce outputs to the dev-example folder. + +```bash +# From the root directory +python ./dev-examples/*.py +``` diff --git a/dev-examples/odes/data.tsv b/dev-examples/odes/data.tsv new file mode 100644 index 00000000..f99de1f4 --- /dev/null +++ b/dev-examples/odes/data.tsv @@ -0,0 +1,23 @@ +time s0 s1 id +0.0 0.0 10.0 m0 +1.0 1.0 9.0 m0 +2.0 2.0 8.0 m0 +3.0 3.0 7.0 m0 +4.0 4.0 6.0 m0 +5.0 5.0 5.0 m0 +6.0 6.0 4.0 m0 +7.0 7.0 3.0 m0 +8.0 8.0 2.0 m0 +9.0 9.0 1.0 m0 +10.0 10.0 0.0 m0 +0.0 0.0 10.0 m1 +1.0 1.0 9.0 m1 +2.0 2.0 8.0 m1 +3.0 3.0 7.0 m1 +4.0 4.0 6.0 m1 +5.0 5.0 5.0 m1 +6.0 6.0 4.0 m1 +7.0 7.0 3.0 m1 +8.0 8.0 2.0 m1 +9.0 9.0 1.0 m1 +10.0 10.0 0.0 m1 diff --git a/dev-examples/odes/enzymeml.json b/dev-examples/odes/enzymeml.json new file mode 100644 index 00000000..4493f3c7 --- /dev/null +++ b/dev-examples/odes/enzymeml.json @@ -0,0 +1,1075 @@ +{ + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "name": "schema:title", + "references": { + "@id": "schema:citation", + "@type": "@id" + }, + "created": "schema:dateCreated", + "modified": "schema:dateModified", + "creators": 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"enzml:BaseUnit" + ], + "kind": "litre", + "exponent": -1, + "scale": 1.0 + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/d5995db5-1a95-4cc6-9513-b8a1770cdef9", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "time_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000010", + "@type": [ + "OBO:UO_0000000" + ], + "name": "s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/d5995db5-1a95-4cc6-9513-b8a1770cdef9", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], + "data": [ + 10.0, + 9.0, + 8.0, + 7.0, + 6.0, + 5.0, + 4.0, + 3.0, + 2.0, + 1.0, + 0.0 + ], + "is_calculated": false + } + ] + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "group_id": { + "@type": "@id" + } + }, + "@id": "enzml:Measurement/537b7ad5-d1da-4a3f-8823-ce844cb4fd15", + "@type": [ + "enzml:Measurement" + ], + "id": "m1", + "name": "m1", + "species": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@type": "@id" + } + }, + "@id": "enzml:MeasurementData/f9765d6e-ba42-4717-ad70-ba50347040ea", + "@type": [ + "enzml:MeasurementData" + ], + "species_id": "s0", + "init_conc": 0.0, + "data_type": "conc", + "data_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000063", + "@type": [ + "OBO:UO_0000000" + ], + "name": "mmol / l s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/64d34694-8942-4ed5-b922-3c928695ec43", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "mole", + "exponent": 1, + "scale": -3.0 + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/6a9cc7e3-8777-4438-9a1e-d613cd5ee13a", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "litre", + "exponent": -1, + "scale": 1.0 + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/d5995db5-1a95-4cc6-9513-b8a1770cdef9", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "time_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000010", + "@type": [ + "OBO:UO_0000000" + ], + "name": "s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/d5995db5-1a95-4cc6-9513-b8a1770cdef9", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], + "data": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], + "is_calculated": false + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@type": "@id" + } + }, + "@id": "enzml:MeasurementData/0a6e65ad-b5a8-4ed8-a75d-c61d12db521e", + "@type": [ + "enzml:MeasurementData" + ], + "species_id": "s1", + "init_conc": 10.0, + "data_type": "conc", + "data_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000063", + "@type": [ + "OBO:UO_0000000" + ], + "name": "mmol / l s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/64d34694-8942-4ed5-b922-3c928695ec43", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "mole", + "exponent": 1, + "scale": -3.0 + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/6a9cc7e3-8777-4438-9a1e-d613cd5ee13a", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "litre", + "exponent": -1, + "scale": 1.0 + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/d5995db5-1a95-4cc6-9513-b8a1770cdef9", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "time_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000010", + "@type": [ + "OBO:UO_0000000" + ], + "name": "s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/d5995db5-1a95-4cc6-9513-b8a1770cdef9", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], + "data": [ + 10.0, + 9.0, + 8.0, + 7.0, + 6.0, + 5.0, + 4.0, + 3.0, + 2.0, + 1.0, + 0.0 + ], + "is_calculated": false + } + ] + } + ], + "equations": [], + "parameters": [] +} \ No newline at end of file diff --git a/dev-examples/reactions/sbml.xml b/dev-examples/reactions/sbml.xml new file mode 100644 index 00000000..602dddb3 --- /dev/null +++ b/dev-examples/reactions/sbml.xml @@ -0,0 +1,144 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Vessel 1 + 10.0 + + + + + + + + + + + + + Enzyme + MTEY + + + + + + MTEY + + + + + + + + Substrate + + + + + + + + + + Product + + + + + + + + + + + + + + + + + + + + + + + + kcat + p0 + s0 + + + + K_m + s0 + + + + + + + + + + + + + diff --git a/dev-examples/sbml_export_odes.py b/dev-examples/sbml_export_odes.py new file mode 100644 index 00000000..339caaf6 --- /dev/null +++ b/dev-examples/sbml_export_odes.py @@ -0,0 +1,43 @@ +import pyenzyme as pe +import pyenzyme.equations as peq + +from pyenzyme.sbml.serializer import to_sbml +from pyenzyme.units import mM, s, ml, K + +doc = pe.EnzymeMLDocument(name="Test") + +# Add Vessels +vessel = doc.add_to_vessels(name="Vessel 1", volume=10.0, unit=ml, id="v0") + +# Add Species +substrate = doc.add_to_small_molecules(id="s0", name="Substrate", vessel_id=vessel.id) +product = doc.add_to_small_molecules(id="s1", name="Product", vessel_id=vessel.id) + +# Add Enzyme +enzyme = doc.add_to_proteins( + id="p0", + name="Enzyme", + sequence="MTEY", + vessel_id=vessel.id, +) + +doc.equations += peq.build_equations( + "s1'(t) = kcat * E_tot * s0(t) / (K_m + s0(t))", + "E_tot = 100", + units=[mM / s, mM], + enzmldoc=doc, +) + +doc.measurements += pe.read_excel( + "tests/fixtures/tabular/data.xlsx", + data_unit=mM, + time_unit=s, +) + +for meas in doc.measurements: + meas.temperature = 298.15 + meas.temperature_unit = K + meas.ph = 7.0 + +to_sbml(doc, "./dev-examples/odes/sbml.xml") +pe.write_enzymeml(doc=doc, path="./dev-examples/odes/enzymeml.json") diff --git a/dev-examples/sbml_export_reactions.py b/dev-examples/sbml_export_reactions.py new file mode 100644 index 00000000..53d61574 --- /dev/null +++ b/dev-examples/sbml_export_reactions.py @@ -0,0 +1,44 @@ +import pyenzyme as pe +import pyenzyme.equations as peq + +from pyenzyme.sbml.serializer import to_sbml +from pyenzyme.units import mM, s, ml + +doc = pe.EnzymeMLDocument(name="Test") + +# Add Vessels +vessel = doc.add_to_vessels(name="Vessel 1", volume=10.0, unit=ml, id="v0") + +# Add Species +substrate = doc.add_to_small_molecules(id="s0", name="Substrate", vessel_id=vessel.id) +product = doc.add_to_small_molecules(id="s1", name="Product", vessel_id=vessel.id) + +# Add Enzyme +enzyme = doc.add_to_proteins( + id="p0", + name="Enzyme", + sequence="MTEY", + vessel_id=vessel.id, +) + +# Set reactions +reaction = peq.build_reaction( + scheme="s0 -> s1", + name="Reaction 1", + modifiers=[enzyme.id], +) +reaction.kinetic_law = peq.build_equation( + "v(t) = kcat * p0(t) * s0(t) / ( K_m + s0(t) )", + unit=mM / s, +) + +doc.reactions += [reaction] + +doc.measurements += pe.read_excel( + "tests/fixtures/tabular/data.xlsx", + data_unit=mM, + time_unit=s, +) + +to_sbml(doc, "./dev-examples/reactions/sbml.xml") +pe.write_enzymeml(doc=doc, path="./dev-examples/reactions/enzymeml.json") From 415ec1e438a08a78daf1c32f182336a71eb79cd6 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Tue, 25 Jun 2024 10:27:18 +0200 Subject: [PATCH 014/172] use `serialization_alias` for ld fields --- pyenzyme/model.py | 785 ++++++++++++++++++++-------------------------- 1 file changed, 337 insertions(+), 448 deletions(-) diff --git a/pyenzyme/model.py b/pyenzyme/model.py index a2553787..334b18d9 100644 --- a/pyenzyme/model.py +++ b/pyenzyme/model.py @@ -5,11 +5,13 @@ from typing import Optional, Generic, TypeVar from enum import Enum from uuid import uuid4 +from datetime import date, datetime # Filter Wrapper definition used to filter a list of objects # based on their attributes Cls = TypeVar("Cls") + class FilterWrapper(Generic[Cls]): """Wrapper class to filter a list of objects based on their attributes""" @@ -46,7 +48,8 @@ def add_namespace(obj, prefix: str | None, iri: str | None): elif iri and prefix is None: raise ValueError("If iri is provided, prefix must also be provided") - obj.ld_context[prefix] = iri # type: ignore + obj.ld_context[prefix] = iri # type: ignore + def validate_prefix(term: str | dict, prefix: str): """Validates that a term is prefixed with a given prefix @@ -64,13 +67,14 @@ def validate_prefix(term: str | dict, prefix: str): elif isinstance(term, str) and not term.startswith(prefix + ":"): raise ValueError(f"Term {term} is not prefixed with {prefix}") + # Model Definitions -class EnzymeMLDocument(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore +class EnzymeMLDocument(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore name: str references: list[str] = Field(default_factory=list) @@ -88,18 +92,18 @@ class EnzymeMLDocument(BaseModel): # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ + serialization_alias="@type", + default_factory=lambda: [ "enzml:EnzymeMLDocument", ], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -111,7 +115,7 @@ class EnzymeMLDocument(BaseModel): "created": "schema:dateCreated", "modified": "schema:dateModified", "creators": "schema:creator", - } + }, ) def filter_creators(self, **kwargs) -> list[Creator]: @@ -222,13 +226,12 @@ def filter_parameters(self, **kwargs) -> list[Parameter]: return FilterWrapper[Parameter](self.parameters, **kwargs).filter() - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -239,7 +242,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -250,7 +253,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -259,10 +264,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -289,7 +291,6 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_creators( self, given_name: str, @@ -297,29 +298,22 @@ def add_to_creators( mail: str, **kwargs, ): - params = { - "given_name": given_name, - "family_name": family_name, - "mail": mail - } + params = {"given_name": given_name, "family_name": family_name, "mail": mail} if "id" in kwargs: params["id"] = kwargs["id"] - self.creators.append( - Creator(**params) - ) + self.creators.append(Creator(**params)) return self.creators[-1] - def add_to_vessels( self, id: str, name: str, volume: float, unit: UnitDefinition, - constant: bool= True, + constant: bool = True, **kwargs, ): params = { @@ -327,30 +321,27 @@ def add_to_vessels( "name": name, "volume": volume, "unit": unit, - "constant": constant + "constant": constant, } if "id" in kwargs: params["id"] = kwargs["id"] - self.vessels.append( - Vessel(**params) - ) + self.vessels.append(Vessel(**params)) return self.vessels[-1] - def add_to_proteins( self, id: str, name: str, - constant: bool= False, - sequence: Optional[str]= None, - vessel_id: Optional[str]= None, - ecnumber: Optional[str]= None, - organism: Optional[str]= None, - organism_tax_id: Optional[str]= None, - references: list[str]= [], + constant: bool = False, + sequence: Optional[str] = None, + vessel_id: Optional[str] = None, + ecnumber: Optional[str] = None, + organism: Optional[str] = None, + organism_tax_id: Optional[str] = None, + references: list[str] = [], **kwargs, ): params = { @@ -362,49 +353,40 @@ def add_to_proteins( "ecnumber": ecnumber, "organism": organism, "organism_tax_id": organism_tax_id, - "references": references + "references": references, } if "id" in kwargs: params["id"] = kwargs["id"] - self.proteins.append( - Protein(**params) - ) + self.proteins.append(Protein(**params)) return self.proteins[-1] - def add_to_complexes( self, id: str, - participants: list[str]= [], + participants: list[str] = [], **kwargs, ): - params = { - "id": id, - "participants": participants - } + params = {"id": id, "participants": participants} if "id" in kwargs: params["id"] = kwargs["id"] - self.complexes.append( - Complex(**params) - ) + self.complexes.append(Complex(**params)) return self.complexes[-1] - def add_to_small_molecules( self, id: str, name: str, - constant: bool= False, - vessel_id: Optional[str]= None, - canonical_smiles: Optional[str]= None, - inchikey: Optional[str]= None, - references: list[str]= [], + constant: bool = False, + vessel_id: Optional[str] = None, + canonical_smiles: Optional[str] = None, + inchikey: Optional[str] = None, + references: list[str] = [], **kwargs, ): params = { @@ -414,27 +396,24 @@ def add_to_small_molecules( "vessel_id": vessel_id, "canonical_smiles": canonical_smiles, "inchikey": inchikey, - "references": references + "references": references, } if "id" in kwargs: params["id"] = kwargs["id"] - self.small_molecules.append( - SmallMolecule(**params) - ) + self.small_molecules.append(SmallMolecule(**params)) return self.small_molecules[-1] - def add_to_reactions( self, id: str, name: str, - reversible: bool= False, - kinetic_law: Optional[Equation]= None, - species: list[ReactionElement]= [], - modifiers: list[str]= [], + reversible: bool = False, + kinetic_law: Optional[Equation] = None, + species: list[ReactionElement] = [], + modifiers: list[str] = [], **kwargs, ): params = { @@ -443,28 +422,25 @@ def add_to_reactions( "reversible": reversible, "kinetic_law": kinetic_law, "species": species, - "modifiers": modifiers + "modifiers": modifiers, } if "id" in kwargs: params["id"] = kwargs["id"] - self.reactions.append( - Reaction(**params) - ) + self.reactions.append(Reaction(**params)) return self.reactions[-1] - def add_to_measurements( self, id: str, name: str, - species: list[MeasurementData]= [], - group_id: Optional[str]= None, - ph: Optional[float]= None, - temperature: Optional[float]= None, - temperature_unit: Optional[UnitDefinition]= None, + species: list[MeasurementData] = [], + group_id: Optional[str] = None, + ph: Optional[float] = None, + temperature: Optional[float] = None, + temperature_unit: Optional[UnitDefinition] = None, **kwargs, ): params = { @@ -474,28 +450,24 @@ def add_to_measurements( "group_id": group_id, "ph": ph, "temperature": temperature, - "temperature_unit": temperature_unit + "temperature_unit": temperature_unit, } if "id" in kwargs: params["id"] = kwargs["id"] - self.measurements.append( - Measurement(**params) - ) + self.measurements.append(Measurement(**params)) return self.measurements[-1] - def add_to_equations( self, unit: UnitDefinition, equation_type: EquationType, equation: str, - species_id: Optional[str]= None, - id: Optional[str]= None, - variables: list[EqVariable]= [], - parameters: list[EqParameter]= [], + species_id: Optional[str] = None, + variables: list[EqVariable] = [], + parameters: list[EqParameter] = [], **kwargs, ): params = { @@ -503,32 +475,28 @@ def add_to_equations( "equation_type": equation_type, "equation": equation, "species_id": species_id, - "id": id, "variables": variables, - "parameters": parameters + "parameters": parameters, } if "id" in kwargs: params["id"] = kwargs["id"] - self.equations.append( - Equation(**params) - ) + self.equations.append(Equation(**params)) return self.equations[-1] - def add_to_parameters( self, id: str, name: str, - value: Optional[float]= None, - unit: Optional[UnitDefinition]= None, - initial_value: Optional[float]= None, - upper: Optional[float]= None, - lower: Optional[float]= None, - stderr: Optional[float]= None, - constant: Optional[bool]= True, + value: Optional[float] = None, + unit: Optional[UnitDefinition] = None, + initial_value: Optional[float] = None, + upper: Optional[float] = None, + lower: Optional[float] = None, + stderr: Optional[float] = None, + constant: Optional[bool] = True, **kwargs, ): params = { @@ -540,23 +508,21 @@ def add_to_parameters( "upper": upper, "lower": lower, "stderr": stderr, - "constant": constant + "constant": constant, } if "id" in kwargs: params["id"] = kwargs["id"] - self.parameters.append( - Parameter(**params) - ) + self.parameters.append(Parameter(**params)) return self.parameters[-1] -class Creator(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore +class Creator(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore given_name: str family_name: str @@ -564,34 +530,31 @@ class Creator(BaseModel): # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:Creator/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:Creator/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ - "enzml:Creator","schema:person" - ], + serialization_alias="@type", + default_factory=lambda: ["enzml:Creator", "schema:person"], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", "given_name": "schema:givenName", "family_name": "schema:familyName", "mail": "schema:email", - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -602,7 +565,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -613,7 +576,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -622,10 +587,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -654,10 +616,9 @@ def add_type_term( class Vessel(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -667,18 +628,16 @@ class Vessel(BaseModel): # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:Vessel/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:Vessel/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ - "enzml:Vessel","OBO:OBI_0400081" - ], + serialization_alias="@type", + default_factory=lambda: ["enzml:Vessel", "OBO:OBI_0400081"], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -688,16 +647,15 @@ class Vessel(BaseModel): }, "name": "schema:name", "volume": "OBO:OBI_0002139", - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -708,7 +666,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -719,7 +677,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -728,10 +688,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -760,10 +717,9 @@ def add_type_term( class Protein(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -777,18 +733,16 @@ class Protein(BaseModel): # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:Protein/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:Protein/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ - "enzml:Protein","schema:Protein" - ], + serialization_alias="@type", + default_factory=lambda: ["enzml:Protein", "schema:Protein"], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -809,16 +763,15 @@ class Protein(BaseModel): "@id": "schema:citation", "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -829,7 +782,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -840,7 +793,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -849,10 +804,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -881,28 +833,27 @@ def add_type_term( class Complex(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str participants: list[str] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:Complex/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:Complex/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ + serialization_alias="@type", + default_factory=lambda: [ "enzml:Complex", ], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -913,16 +864,15 @@ class Complex(BaseModel): "participants": { "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -933,7 +883,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -944,7 +894,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -953,10 +905,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -985,10 +934,9 @@ def add_type_term( class SmallMolecule(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -1000,18 +948,18 @@ class SmallMolecule(BaseModel): # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ + serialization_alias="@type", + default_factory=lambda: [ "enzml:SmallMolecule", ], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -1028,16 +976,15 @@ class SmallMolecule(BaseModel): "@id": "schema:citation", "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1048,7 +995,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -1059,7 +1006,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1068,10 +1017,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1100,10 +1046,9 @@ def add_type_term( class Reaction(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -1114,18 +1059,18 @@ class Reaction(BaseModel): # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:Reaction/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:Reaction/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ + serialization_alias="@type", + default_factory=lambda: [ "enzml:Reaction", ], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -1136,7 +1081,7 @@ class Reaction(BaseModel): "modifiers": { "@type": "@id", }, - } + }, ) def filter_species(self, **kwargs) -> list[ReactionElement]: @@ -1151,13 +1096,12 @@ def filter_species(self, **kwargs) -> list[ReactionElement]: return FilterWrapper[ReactionElement](self.species, **kwargs).filter() - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1168,7 +1112,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -1179,7 +1123,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1188,10 +1134,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1218,67 +1161,59 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_species( self, species_id: str, stoichiometry: float, **kwargs, ): - params = { - "species_id": species_id, - "stoichiometry": stoichiometry - } + params = {"species_id": species_id, "stoichiometry": stoichiometry} if "id" in kwargs: params["id"] = kwargs["id"] - self.species.append( - ReactionElement(**params) - ) + self.species.append(ReactionElement(**params)) return self.species[-1] class ReactionElement(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore species_id: str stoichiometry: float # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ + serialization_alias="@type", + default_factory=lambda: [ "enzml:ReactionElement", ], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", "species_id": { "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1289,7 +1224,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -1300,7 +1235,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1309,10 +1246,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1341,43 +1275,38 @@ def add_type_term( class Equation(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore unit: UnitDefinition equation_type: EquationType equation: str species_id: Optional[str] = Field(default=None) - id: Optional[str] = Field(default=None) variables: list[EqVariable] = Field(default_factory=list) parameters: list[EqParameter] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:Equation/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:Equation/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ + serialization_alias="@type", + default_factory=lambda: [ "enzml:Equation", ], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", "species_id": { "@type": "@id", }, - "id": { - "@type": "@id", - }, - } + }, ) def filter_variables(self, **kwargs) -> list[EqVariable]: @@ -1404,13 +1333,12 @@ def filter_parameters(self, **kwargs) -> list[EqParameter]: return FilterWrapper[EqParameter](self.parameters, **kwargs).filter() - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1421,7 +1349,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -1432,7 +1360,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1441,10 +1371,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1471,59 +1398,44 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_variables( self, id: str, name: str, - symbol: Optional[str]= None, + symbol: Optional[str] = None, **kwargs, ): - params = { - "id": id, - "name": name, - "symbol": symbol - } + params = {"id": id, "name": name, "symbol": symbol} if "id" in kwargs: params["id"] = kwargs["id"] - self.variables.append( - EqVariable(**params) - ) + self.variables.append(EqVariable(**params)) return self.variables[-1] - def add_to_parameters( self, id: str, name: str, - symbol: Optional[str]= None, - value: Optional[float]= None, + symbol: Optional[str] = None, + value: Optional[float] = None, **kwargs, ): - params = { - "id": id, - "name": name, - "symbol": symbol, - "value": value - } + params = {"id": id, "name": name, "symbol": symbol, "value": value} if "id" in kwargs: params["id"] = kwargs["id"] - self.parameters.append( - EqParameter(**params) - ) + self.parameters.append(EqParameter(**params)) return self.parameters[-1] -class Parameter(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore +class Parameter(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -1537,18 +1449,18 @@ class Parameter(BaseModel): # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:Parameter/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:Parameter/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ + serialization_alias="@type", + default_factory=lambda: [ "enzml:Parameter", ], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -1556,16 +1468,15 @@ class Parameter(BaseModel): "@id": "schema:identifier", "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1576,7 +1487,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -1587,7 +1498,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1596,10 +1509,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1628,10 +1538,9 @@ def add_type_term( class Measurement(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -1643,18 +1552,18 @@ class Measurement(BaseModel): # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:Measurement/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:Measurement/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ + serialization_alias="@type", + default_factory=lambda: [ "enzml:Measurement", ], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -1665,7 +1574,7 @@ class Measurement(BaseModel): "group_id": { "@type": "@id", }, - } + }, ) def filter_species(self, **kwargs) -> list[MeasurementData]: @@ -1680,13 +1589,12 @@ def filter_species(self, **kwargs) -> list[MeasurementData]: return FilterWrapper[MeasurementData](self.species, **kwargs).filter() - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1697,7 +1605,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -1708,7 +1616,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1717,10 +1627,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1747,7 +1654,6 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_species( self, species_id: str, @@ -1755,9 +1661,9 @@ def add_to_species( data_type: DataTypes, data_unit: UnitDefinition, time_unit: UnitDefinition, - time: list[float]= [], - data: list[float]= [], - is_calculated: bool= False, + time: list[float] = [], + data: list[float] = [], + is_calculated: bool = False, **kwargs, ): params = { @@ -1768,24 +1674,21 @@ def add_to_species( "time_unit": time_unit, "time": time, "data": data, - "is_calculated": is_calculated + "is_calculated": is_calculated, } if "id" in kwargs: params["id"] = kwargs["id"] - self.species.append( - MeasurementData(**params) - ) + self.species.append(MeasurementData(**params)) return self.species[-1] class MeasurementData(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore species_id: str init_conc: float @@ -1798,34 +1701,33 @@ class MeasurementData(BaseModel): # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ + serialization_alias="@type", + default_factory=lambda: [ "enzml:MeasurementData", ], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", "species_id": { "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1836,7 +1738,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -1847,7 +1749,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1856,10 +1760,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1888,10 +1789,9 @@ def add_type_term( class UnitDefinition(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: Optional[str] = Field(default=None) name: Optional[str] = Field(default=None) @@ -1899,22 +1799,22 @@ class UnitDefinition(BaseModel): # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:UnitDefinition/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:UnitDefinition/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ + serialization_alias="@type", + default_factory=lambda: [ "enzml:UnitDefinition", ], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", - } + }, ) def filter_base_units(self, **kwargs) -> list[BaseUnit]: @@ -1929,13 +1829,12 @@ def filter_base_units(self, **kwargs) -> list[BaseUnit]: return FilterWrapper[BaseUnit](self.base_units, **kwargs).filter() - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1946,7 +1845,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -1957,7 +1856,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1966,10 +1867,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1996,36 +1894,33 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_base_units( self, kind: UnitType, exponent: int, - multiplier: Optional[float]= None, - scale: Optional[float]= None, + multiplier: Optional[float] = None, + scale: Optional[float] = None, **kwargs, ): params = { "kind": kind, "exponent": exponent, "multiplier": multiplier, - "scale": scale + "scale": scale, } if "id" in kwargs: params["id"] = kwargs["id"] - self.base_units.append( - BaseUnit(**params) - ) + self.base_units.append(BaseUnit(**params)) return self.base_units[-1] -class BaseUnit(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore +class BaseUnit(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore kind: UnitType exponent: int @@ -2034,31 +1929,30 @@ class BaseUnit(BaseModel): # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:BaseUnit/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:BaseUnit/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ + serialization_alias="@type", + default_factory=lambda: [ "enzml:BaseUnit", ], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -2069,7 +1963,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -2080,7 +1974,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -2089,10 +1985,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -2121,10 +2014,9 @@ def add_type_term( class EqVariable(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -2132,34 +2024,33 @@ class EqVariable(BaseModel): # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:EqVariable/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:EqVariable/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ + serialization_alias="@type", + default_factory=lambda: [ "enzml:EqVariable", ], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", "id": { "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -2170,7 +2061,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -2181,7 +2072,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -2190,10 +2083,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -2222,10 +2112,9 @@ def add_type_term( class EqParameter(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -2234,34 +2123,33 @@ class EqParameter(BaseModel): # JSON-LD fields ld_id: str = Field( - alias="@id", - default_factory=lambda: "enzml:EqParameter/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:EqParameter/" + str(uuid4()), ) ld_type: list[str] = Field( - alias="@type", - default_factory = lambda: [ + serialization_alias="@type", + default_factory=lambda: [ "enzml:EqParameter", ], ) ld_context: dict[str, str | dict] = Field( - alias="@context", - default_factory = lambda: { + serialization_alias="@context", + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", "id": { "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -2272,7 +2160,7 @@ def set_attr_term( # Using a prefix and term >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - # Using a dictionary term + # Usinng a dictionary term >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: @@ -2283,7 +2171,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -2292,10 +2182,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -2331,12 +2218,14 @@ class DataTypes(Enum): FEED = "feed" PEAK_AREA = "peak-area" + class EquationType(Enum): ASSIGNMENT = "assignment" INITIAL_ASSIGNMENT = "initialAssignment" ODE = "ode" RATE_LAW = "rateLaw" + class UnitType(Enum): AMPERE = "ampere" AVOGADRO = "avogadro" @@ -2370,4 +2259,4 @@ class UnitType(Enum): TESLA = "tesla" VOLT = "volt" WATT = "watt" - WEBER = "weber" \ No newline at end of file + WEBER = "weber" From c2e52e3bbfba3e92502a0a172ba51bb0c0d0fa9a Mon Sep 17 00:00:00 2001 From: Jan Range Date: Tue, 25 Jun 2024 10:29:04 +0200 Subject: [PATCH 015/172] remove unused imports --- pyenzyme/model.py | 1 - 1 file changed, 1 deletion(-) diff --git a/pyenzyme/model.py b/pyenzyme/model.py index 334b18d9..8e5893eb 100644 --- a/pyenzyme/model.py +++ b/pyenzyme/model.py @@ -5,7 +5,6 @@ from typing import Optional, Generic, TypeVar from enum import Enum from uuid import uuid4 -from datetime import date, datetime # Filter Wrapper definition used to filter a list of objects # based on their attributes From 0e7f5165e624c6ee47d78a9709153ad61a4ba83d Mon Sep 17 00:00:00 2001 From: haeussma <83341109+haeussma@users.noreply.github.com> Date: Wed, 26 Jun 2024 09:29:07 +0200 Subject: [PATCH 016/172] added pyright and poetry --- .gitignore | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/.gitignore b/.gitignore index 9a748083..38c286c6 100644 --- a/.gitignore +++ b/.gitignore @@ -131,6 +131,9 @@ dmypy.json # Pyre type checker .pyre/ +# pyrightconfig +pyrightconfig.json + # pytype static type analyzer .pytype/ @@ -146,3 +149,6 @@ tests/tmp # Mac OS .DS_Store + +# Poetry +poetry.lock From eb19c84eddbd29dc6f50c0307f657d5cd653cf63 Mon Sep 17 00:00:00 2001 From: haeussma <83341109+haeussma@users.noreply.github.com> Date: Wed, 26 Jun 2024 09:30:01 +0200 Subject: [PATCH 017/172] regenerated lib via gen.toml including celsius --- pyenzyme/model.py | 1 + pyenzyme/units/predefined.py | 5 +++++ 2 files changed, 6 insertions(+) diff --git a/pyenzyme/model.py b/pyenzyme/model.py index 8e5893eb..0c350749 100644 --- a/pyenzyme/model.py +++ b/pyenzyme/model.py @@ -2230,6 +2230,7 @@ class UnitType(Enum): AVOGADRO = "avogadro" BECQUEREL = "becquerel" CANDELA = "candela" + CELSIUS = "celsius" COULOMB = "coulomb" DIMENSIONLESS = "dimensionless" FARAD = "farad" diff --git a/pyenzyme/units/predefined.py b/pyenzyme/units/predefined.py index b0531d22..729de810 100644 --- a/pyenzyme/units/predefined.py +++ b/pyenzyme/units/predefined.py @@ -44,6 +44,10 @@ def gram(): def kelvin(): return BaseUnit(kind=UnitType.KELVIN, exponent=1, scale=1) + @staticmethod + def celsius(): + return BaseUnit(kind=UnitType.CELSIUS, exponent=1, scale=1) + @staticmethod def dimensionless(): return BaseUnit(kind=UnitType.DIMENSIONLESS, exponent=1, scale=1) @@ -139,6 +143,7 @@ def dimensionless(): kelvin = UnitDefinition(base_units=[Unit.kelvin()])._get_name() K = UnitDefinition(base_units=[Unit.kelvin()])._get_name() +celsius = UnitDefinition(base_units=[Unit.celsius()])._get_name() ## Ontology From bf0ff6dbc4a1e340eb689ed72933a1d7cc4a3b8b Mon Sep 17 00:00:00 2001 From: haeussma <83341109+haeussma@users.noreply.github.com> Date: Wed, 26 Jun 2024 10:45:39 +0200 Subject: [PATCH 018/172] replaced content with newly generated model --- pyenzyme/model.py | 648 +++++++++++++++++++++++++++------------------- 1 file changed, 376 insertions(+), 272 deletions(-) diff --git a/pyenzyme/model.py b/pyenzyme/model.py index 0c350749..d7848175 100644 --- a/pyenzyme/model.py +++ b/pyenzyme/model.py @@ -1,11 +1,13 @@ ## This is a generated file. Do not modify it manually! from __future__ import annotations -from pydantic import BaseModel, Field, ConfigDict -from typing import Optional, Generic, TypeVar + from enum import Enum +from typing import Generic, Optional, TypeVar from uuid import uuid4 +from pydantic import BaseModel, ConfigDict, Field + # Filter Wrapper definition used to filter a list of objects # based on their attributes Cls = TypeVar("Cls") @@ -85,35 +87,32 @@ class EnzymeMLDocument(BaseModel): complexes: list[Complex] = Field(default_factory=list) small_molecules: list[SmallMolecule] = Field(default_factory=list) reactions: list[Reaction] = Field(default_factory=list) + conditions: Optional[ReactionConditions] = Field(default=None) measurements: list[Measurement] = Field(default_factory=list) - equations: list[Equation] = Field(default_factory=list) + equations: list[ODE] = Field(default_factory=list) parameters: list[Parameter] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()), + default_factory=lambda: "md:EnzymeMLDocument/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "enzml:EnzymeMLDocument", + "md:EnzymeMLDocument", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", - "name": "schema:title", + "OBO": "http://purl.obolibrary.org/obo/", + "name": "schema:name", "references": { - "@id": "schema:citation", "@type": "@id", }, - "created": "schema:dateCreated", - "modified": "schema:dateModified", - "creators": "schema:creator", }, ) @@ -201,17 +200,17 @@ def filter_measurements(self, **kwargs) -> list[Measurement]: return FilterWrapper[Measurement](self.measurements, **kwargs).filter() - def filter_equations(self, **kwargs) -> list[Equation]: + def filter_equations(self, **kwargs) -> list[ODE]: """Filters the equations attribute based on the given kwargs Args: **kwargs: The attributes to filter by. Returns: - list[Equation]: The filtered list of Equation objects + list[ODE]: The filtered list of ODE objects """ - return FilterWrapper[Equation](self.equations, **kwargs).filter() + return FilterWrapper[ODE](self.equations, **kwargs).filter() def filter_parameters(self, **kwargs) -> list[Parameter]: """Filters the parameters attribute based on the given kwargs @@ -308,19 +307,19 @@ def add_to_creators( def add_to_vessels( self, - id: str, name: str, volume: float, unit: UnitDefinition, - constant: bool = True, + constant: bool, + creator_id: Optional[str] = None, **kwargs, ): params = { - "id": id, "name": name, "volume": volume, "unit": unit, "constant": constant, + "creator_id": creator_id, } if "id" in kwargs: @@ -332,10 +331,9 @@ def add_to_vessels( def add_to_proteins( self, - id: str, name: str, + sequence: str, constant: bool = False, - sequence: Optional[str] = None, vessel_id: Optional[str] = None, ecnumber: Optional[str] = None, organism: Optional[str] = None, @@ -344,10 +342,9 @@ def add_to_proteins( **kwargs, ): params = { - "id": id, "name": name, - "constant": constant, "sequence": sequence, + "constant": constant, "vessel_id": vessel_id, "ecnumber": ecnumber, "organism": organism, @@ -364,11 +361,10 @@ def add_to_proteins( def add_to_complexes( self, - id: str, participants: list[str] = [], **kwargs, ): - params = {"id": id, "participants": participants} + params = {"participants": participants} if "id" in kwargs: params["id"] = kwargs["id"] @@ -379,7 +375,6 @@ def add_to_complexes( def add_to_small_molecules( self, - id: str, name: str, constant: bool = False, vessel_id: Optional[str] = None, @@ -389,7 +384,6 @@ def add_to_small_molecules( **kwargs, ): params = { - "id": id, "name": name, "constant": constant, "vessel_id": vessel_id, @@ -407,19 +401,17 @@ def add_to_small_molecules( def add_to_reactions( self, - id: str, name: str, reversible: bool = False, - kinetic_law: Optional[Equation] = None, + rate_law: Optional[Equation] = None, species: list[ReactionElement] = [], modifiers: list[str] = [], **kwargs, ): params = { - "id": id, "name": name, "reversible": reversible, - "kinetic_law": kinetic_law, + "rate_law": rate_law, "species": species, "modifiers": modifiers, } @@ -433,24 +425,12 @@ def add_to_reactions( def add_to_measurements( self, - id: str, name: str, species: list[MeasurementData] = [], group_id: Optional[str] = None, - ph: Optional[float] = None, - temperature: Optional[float] = None, - temperature_unit: Optional[UnitDefinition] = None, **kwargs, ): - params = { - "id": id, - "name": name, - "species": species, - "group_id": group_id, - "ph": ph, - "temperature": temperature, - "temperature_unit": temperature_unit, - } + params = {"name": name, "species": species, "group_id": group_id} if "id" in kwargs: params["id"] = kwargs["id"] @@ -461,53 +441,40 @@ def add_to_measurements( def add_to_equations( self, - unit: UnitDefinition, - equation_type: EquationType, - equation: str, - species_id: Optional[str] = None, - variables: list[EqVariable] = [], - parameters: list[EqParameter] = [], + species_id: str, + equation: Equation, **kwargs, ): - params = { - "unit": unit, - "equation_type": equation_type, - "equation": equation, - "species_id": species_id, - "variables": variables, - "parameters": parameters, - } + params = {"species_id": species_id, "equation": equation} if "id" in kwargs: params["id"] = kwargs["id"] - self.equations.append(Equation(**params)) + self.equations.append(ODE(**params)) return self.equations[-1] def add_to_parameters( self, - id: str, name: str, - value: Optional[float] = None, - unit: Optional[UnitDefinition] = None, + value: float, + unit: UnitDefinition, + constant: bool, initial_value: Optional[float] = None, upper: Optional[float] = None, lower: Optional[float] = None, stderr: Optional[float] = None, - constant: Optional[bool] = True, **kwargs, ): params = { - "id": id, "name": name, "value": value, "unit": unit, + "constant": constant, "initial_value": initial_value, "upper": upper, "lower": lower, "stderr": stderr, - "constant": constant, } if "id" in kwargs: @@ -529,19 +496,18 @@ class Creator(BaseModel): # JSON-LD fields ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Creator/" + str(uuid4()), + serialization_alias="@id", default_factory=lambda: "md:Creator/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["enzml:Creator", "schema:person"], + default_factory=lambda: ["md:Creator", "schema:creator"], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "given_name": "schema:givenName", "family_name": "schema:familyName", "mail": "schema:email", @@ -619,33 +585,32 @@ class Vessel(BaseModel): validate_assigment=True, ) # type: ignore - id: str name: str volume: float unit: UnitDefinition - constant: bool = True + constant: bool + creator_id: Optional[str] = Field(default=None) # JSON-LD fields ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Vessel/" + str(uuid4()), + serialization_alias="@id", default_factory=lambda: "md:Vessel/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["enzml:Vessel", "OBO:OBI_0400081"], + default_factory=lambda: ["md:Vessel", "OBO:OBI_0400081"], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", - "id": { + "OBO": "http://purl.obolibrary.org/obo/", + "name": "schema:name", + "volume": "OBO:OBI_0002139", + "creator_id": { "@id": "schema:identifier", "@type": "@id", }, - "name": "schema:name", - "volume": "OBO:OBI_0002139", }, ) @@ -720,10 +685,9 @@ class Protein(BaseModel): validate_assigment=True, ) # type: ignore - id: str name: str + sequence: str constant: bool = False - sequence: Optional[str] = Field(default=None) vessel_id: Optional[str] = Field(default=None) ecnumber: Optional[str] = Field(default=None) organism: Optional[str] = Field(default=None) @@ -732,22 +696,18 @@ class Protein(BaseModel): # JSON-LD fields ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Protein/" + str(uuid4()), + serialization_alias="@id", default_factory=lambda: "md:Protein/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["enzml:Protein", "schema:Protein"], + default_factory=lambda: ["md:Protein", "schema:Protein"], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", - "id": { - "@type": "@id", - }, + "OBO": "http://purl.obolibrary.org/obo/", "name": "schema:name", "sequence": "OBO:GSSO_007262", "vessel_id": { @@ -759,7 +719,6 @@ class Protein(BaseModel): "@type": "@id", }, "references": { - "@id": "schema:citation", "@type": "@id", }, }, @@ -836,30 +795,24 @@ class Complex(BaseModel): validate_assigment=True, ) # type: ignore - id: str participants: list[str] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Complex/" + str(uuid4()), + serialization_alias="@id", default_factory=lambda: "md:Complex/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "enzml:Complex", + "md:Complex", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id", - }, + "OBO": "http://purl.obolibrary.org/obo/", "participants": { "@type": "@id", }, @@ -937,7 +890,6 @@ class SmallMolecule(BaseModel): validate_assigment=True, ) # type: ignore - id: str name: str constant: bool = False vessel_id: Optional[str] = Field(default=None) @@ -948,31 +900,26 @@ class SmallMolecule(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()), + default_factory=lambda: "md:SmallMolecule/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "enzml:SmallMolecule", + "md:SmallMolecule", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id", - }, + "OBO": "http://purl.obolibrary.org/obo/", "name": "schema:name", "vessel_id": { "@id": "schema:identifier", "@type": "@id", }, "references": { - "@id": "schema:citation", "@type": "@id", }, }, @@ -1049,34 +996,28 @@ class Reaction(BaseModel): validate_assigment=True, ) # type: ignore - id: str name: str reversible: bool = False - kinetic_law: Optional[Equation] = Field(default=None) + rate_law: Optional[Equation] = Field(default=None) species: list[ReactionElement] = Field(default_factory=list) modifiers: list[str] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Reaction/" + str(uuid4()), + serialization_alias="@id", default_factory=lambda: "md:Reaction/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "enzml:Reaction", + "md:Reaction", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id", - }, + "OBO": "http://purl.obolibrary.org/obo/", "modifiers": { "@type": "@id", }, @@ -1163,7 +1104,7 @@ def add_type_term( def add_to_species( self, species_id: str, - stoichiometry: float, + stoichiometry: Optional[float] = None, **kwargs, ): params = {"species_id": species_id, "stoichiometry": stoichiometry} @@ -1182,25 +1123,25 @@ class ReactionElement(BaseModel): ) # type: ignore species_id: str - stoichiometry: float + stoichiometry: Optional[float] = Field(default=None) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()), + default_factory=lambda: "md:ReactionElement/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "enzml:ReactionElement", + "md:ReactionElement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id", }, @@ -1273,64 +1214,130 @@ def add_type_term( self.ld_type.append(term) -class Equation(BaseModel): +class ReactionConditions(BaseModel): model_config: ConfigDict = ConfigDict( # type: ignore validate_assigment=True, ) # type: ignore - unit: UnitDefinition - equation_type: EquationType - equation: str - species_id: Optional[str] = Field(default=None) - variables: list[EqVariable] = Field(default_factory=list) - parameters: list[EqParameter] = Field(default_factory=list) + temperature: Optional[float] = Field(default=None) + temperature_unit: Optional[UnitDefinition] = Field(default=None) + ph: Optional[float] = Field(default=None) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Equation/" + str(uuid4()), + default_factory=lambda: "md:ReactionConditions/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "enzml:Equation", + "md:ReactionConditions", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", - "species_id": { - "@type": "@id", - }, + "OBO": "http://purl.obolibrary.org/obo/", }, ) - def filter_variables(self, **kwargs) -> list[EqVariable]: - """Filters the variables attribute based on the given kwargs + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) Args: - **kwargs: The attributes to filter by. + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute - Returns: - list[EqVariable]: The filtered list of EqVariable objects + Raises: + AssertionError: If the attribute is not found in the model """ - return FilterWrapper[EqVariable](self.variables, **kwargs).filter() + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" - def filter_parameters(self, **kwargs) -> list[EqParameter]: - """Filters the parameters attribute based on the given kwargs + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") Args: - **kwargs: The attributes to filter by. + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. - Returns: - list[EqParameter]: The filtered list of EqParameter objects + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not """ - return FilterWrapper[EqParameter](self.parameters, **kwargs).filter() + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class ODE(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore + + species_id: str + equation: Equation + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", default_factory=lambda: "md:ODE/" + str(uuid4()) + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: [ + "md:ODE", + ], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "md": "http://mdmodel.net/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", + "species_id": { + "@type": "@id", + }, + }, + ) def set_attr_term( self, @@ -1397,76 +1404,38 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_variables( - self, - id: str, - name: str, - symbol: Optional[str] = None, - **kwargs, - ): - params = {"id": id, "name": name, "symbol": symbol} - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.variables.append(EqVariable(**params)) - - return self.variables[-1] - - def add_to_parameters( - self, - id: str, - name: str, - symbol: Optional[str] = None, - value: Optional[float] = None, - **kwargs, - ): - params = {"id": id, "name": name, "symbol": symbol, "value": value} - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.parameters.append(EqParameter(**params)) - - return self.parameters[-1] - class Parameter(BaseModel): model_config: ConfigDict = ConfigDict( # type: ignore validate_assigment=True, ) # type: ignore - id: str name: str - value: Optional[float] = Field(default=None) - unit: Optional[UnitDefinition] = Field(default=None) + value: float + unit: UnitDefinition + constant: bool initial_value: Optional[float] = Field(default=None) upper: Optional[float] = Field(default=None) lower: Optional[float] = Field(default=None) stderr: Optional[float] = Field(default=None) - constant: bool = True # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Parameter/" + str(uuid4()), + default_factory=lambda: "md:Parameter/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "enzml:Parameter", + "md:Parameter", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id", - }, + "OBO": "http://purl.obolibrary.org/obo/", }, ) @@ -1541,35 +1510,27 @@ class Measurement(BaseModel): validate_assigment=True, ) # type: ignore - id: str name: str species: list[MeasurementData] = Field(default_factory=list) group_id: Optional[str] = Field(default=None) - ph: Optional[float] = Field(default=None) - temperature: Optional[float] = Field(default=None) - temperature_unit: Optional[UnitDefinition] = Field(default=None) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Measurement/" + str(uuid4()), + default_factory=lambda: "md:Measurement/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "enzml:Measurement", + "md:Measurement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id", - }, + "OBO": "http://purl.obolibrary.org/obo/", "group_id": { "@type": "@id", }, @@ -1701,20 +1662,20 @@ class MeasurementData(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()), + default_factory=lambda: "md:MeasurementData/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "enzml:MeasurementData", + "md:MeasurementData", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id", }, @@ -1787,46 +1748,57 @@ def add_type_term( self.ld_type.append(term) -class UnitDefinition(BaseModel): +class Equation(BaseModel): model_config: ConfigDict = ConfigDict( # type: ignore validate_assigment=True, ) # type: ignore - id: Optional[str] = Field(default=None) - name: Optional[str] = Field(default=None) - base_units: list[BaseUnit] = Field(default_factory=list) + equation: str + variables: list[EqVariable] = Field(default_factory=list) + parameters: list[EqParameter] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:UnitDefinition/" + str(uuid4()), + serialization_alias="@id", default_factory=lambda: "md:Equation/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "enzml:UnitDefinition", + "md:Equation", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", }, ) - def filter_base_units(self, **kwargs) -> list[BaseUnit]: - """Filters the base_units attribute based on the given kwargs + def filter_variables(self, **kwargs) -> list[EqVariable]: + """Filters the variables attribute based on the given kwargs Args: **kwargs: The attributes to filter by. Returns: - list[BaseUnit]: The filtered list of BaseUnit objects + list[EqVariable]: The filtered list of EqVariable objects """ - return FilterWrapper[BaseUnit](self.base_units, **kwargs).filter() + return FilterWrapper[EqVariable](self.variables, **kwargs).filter() + + def filter_parameters(self, **kwargs) -> list[EqParameter]: + """Filters the parameters attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[EqParameter]: The filtered list of EqParameter objects + """ + + return FilterWrapper[EqParameter](self.parameters, **kwargs).filter() def set_attr_term( self, @@ -1893,56 +1865,69 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_base_units( + def add_to_variables( self, - kind: UnitType, - exponent: int, - multiplier: Optional[float] = None, - scale: Optional[float] = None, + id: str, + name: str, + symbol: Optional[str] = None, **kwargs, ): - params = { - "kind": kind, - "exponent": exponent, - "multiplier": multiplier, - "scale": scale, - } + params = {"id": id, "name": name, "symbol": symbol} if "id" in kwargs: params["id"] = kwargs["id"] - self.base_units.append(BaseUnit(**params)) + self.variables.append(EqVariable(**params)) - return self.base_units[-1] + return self.variables[-1] + + def add_to_parameters( + self, + id: str, + name: str, + symbol: Optional[str] = None, + value: Optional[float] = None, + **kwargs, + ): + params = {"id": id, "name": name, "symbol": symbol, "value": value} + if "id" in kwargs: + params["id"] = kwargs["id"] -class BaseUnit(BaseModel): + self.parameters.append(EqParameter(**params)) + + return self.parameters[-1] + + +class EqVariable(BaseModel): model_config: ConfigDict = ConfigDict( # type: ignore validate_assigment=True, ) # type: ignore - kind: UnitType - exponent: int - multiplier: Optional[float] = Field(default=None) - scale: Optional[float] = Field(default=None) + id: str + name: str + symbol: Optional[str] = Field(default=None) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:BaseUnit/" + str(uuid4()), + default_factory=lambda: "md:EqVariable/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "enzml:BaseUnit", + "md:EqVariable", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", + "id": { + "@type": "@id", + }, }, ) @@ -2012,7 +1997,7 @@ def add_type_term( self.ld_type.append(term) -class EqVariable(BaseModel): +class EqParameter(BaseModel): model_config: ConfigDict = ConfigDict( # type: ignore validate_assigment=True, ) # type: ignore @@ -2020,24 +2005,25 @@ class EqVariable(BaseModel): id: str name: str symbol: Optional[str] = Field(default=None) + value: Optional[float] = Field(default=None) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:EqVariable/" + str(uuid4()), + default_factory=lambda: "md:EqParameter/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "enzml:EqVariable", + "md:EqParameter", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", + "md": "http://mdmodel.net/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@type": "@id", }, @@ -2110,36 +2096,161 @@ def add_type_term( self.ld_type.append(term) -class EqParameter(BaseModel): +class UnitDefinition(BaseModel): model_config: ConfigDict = ConfigDict( # type: ignore validate_assigment=True, ) # type: ignore - id: str - name: str - symbol: Optional[str] = Field(default=None) - value: Optional[float] = Field(default=None) + id: Optional[str] = Field(default=None) + name: Optional[str] = Field(default=None) + base_units: list[BaseUnit] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:EqParameter/" + str(uuid4()), + default_factory=lambda: "md:UnitDefinition/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "enzml:EqParameter", + "md:UnitDefinition", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", + "md": "http://mdmodel.net/", + "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + }, + ) + + def filter_base_units(self, **kwargs) -> list[BaseUnit]: + """Filters the base_units attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[BaseUnit]: The filtered list of BaseUnit objects + """ + + return FilterWrapper[BaseUnit](self.base_units, **kwargs).filter() + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + def add_to_base_units( + self, + kind: UnitType, + exponent: int, + multiplier: Optional[float] = None, + scale: Optional[float] = None, + **kwargs, + ): + params = { + "kind": kind, + "exponent": exponent, + "multiplier": multiplier, + "scale": scale, + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.base_units.append(BaseUnit(**params)) + + return self.base_units[-1] + + +class BaseUnit(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore + + kind: UnitType + exponent: int + multiplier: Optional[float] = Field(default=None) + scale: Optional[float] = Field(default=None) + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", default_factory=lambda: "md:BaseUnit/" + str(uuid4()) + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: [ + "md:BaseUnit", + ], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "md": "http://mdmodel.net/", "schema": "https://schema.org/", - "id": { - "@type": "@id", - }, + "OBO": "http://purl.obolibrary.org/obo/", }, ) @@ -2218,13 +2329,6 @@ class DataTypes(Enum): PEAK_AREA = "peak-area" -class EquationType(Enum): - ASSIGNMENT = "assignment" - INITIAL_ASSIGNMENT = "initialAssignment" - ODE = "ode" - RATE_LAW = "rateLaw" - - class UnitType(Enum): AMPERE = "ampere" AVOGADRO = "avogadro" From cf1618c48001bd147150466b2f8d52e434d9eebd Mon Sep 17 00:00:00 2001 From: haeussma <83341109+haeussma@users.noreply.github.com> Date: Wed, 26 Jun 2024 11:35:41 +0200 Subject: [PATCH 019/172] replaced mode, added celsius as unit --- pyenzyme/model.py | 613 +++++++++++++++-------------------- pyenzyme/units/predefined.py | 1 + 2 files changed, 257 insertions(+), 357 deletions(-) diff --git a/pyenzyme/model.py b/pyenzyme/model.py index d7848175..23362aaf 100644 --- a/pyenzyme/model.py +++ b/pyenzyme/model.py @@ -2,6 +2,7 @@ from __future__ import annotations +from datetime import date, datetime from enum import Enum from typing import Generic, Optional, TypeVar from uuid import uuid4 @@ -87,32 +88,35 @@ class EnzymeMLDocument(BaseModel): complexes: list[Complex] = Field(default_factory=list) small_molecules: list[SmallMolecule] = Field(default_factory=list) reactions: list[Reaction] = Field(default_factory=list) - conditions: Optional[ReactionConditions] = Field(default=None) measurements: list[Measurement] = Field(default_factory=list) - equations: list[ODE] = Field(default_factory=list) + equations: list[Equation] = Field(default_factory=list) parameters: list[Parameter] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "md:EnzymeMLDocument/" + str(uuid4()), + default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "md:EnzymeMLDocument", + "enzml:EnzymeMLDocument", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", - "name": "schema:name", + "name": "schema:title", "references": { + "@id": "schema:citation", "@type": "@id", }, + "created": "schema:dateCreated", + "modified": "schema:dateModified", + "creators": "schema:creator", }, ) @@ -200,17 +204,17 @@ def filter_measurements(self, **kwargs) -> list[Measurement]: return FilterWrapper[Measurement](self.measurements, **kwargs).filter() - def filter_equations(self, **kwargs) -> list[ODE]: + def filter_equations(self, **kwargs) -> list[Equation]: """Filters the equations attribute based on the given kwargs Args: **kwargs: The attributes to filter by. Returns: - list[ODE]: The filtered list of ODE objects + list[Equation]: The filtered list of Equation objects """ - return FilterWrapper[ODE](self.equations, **kwargs).filter() + return FilterWrapper[Equation](self.equations, **kwargs).filter() def filter_parameters(self, **kwargs) -> list[Parameter]: """Filters the parameters attribute based on the given kwargs @@ -307,19 +311,19 @@ def add_to_creators( def add_to_vessels( self, + id: str, name: str, volume: float, unit: UnitDefinition, - constant: bool, - creator_id: Optional[str] = None, + constant: bool = True, **kwargs, ): params = { + "id": id, "name": name, "volume": volume, "unit": unit, "constant": constant, - "creator_id": creator_id, } if "id" in kwargs: @@ -331,9 +335,10 @@ def add_to_vessels( def add_to_proteins( self, + id: str, name: str, - sequence: str, constant: bool = False, + sequence: Optional[str] = None, vessel_id: Optional[str] = None, ecnumber: Optional[str] = None, organism: Optional[str] = None, @@ -342,9 +347,10 @@ def add_to_proteins( **kwargs, ): params = { + "id": id, "name": name, - "sequence": sequence, "constant": constant, + "sequence": sequence, "vessel_id": vessel_id, "ecnumber": ecnumber, "organism": organism, @@ -361,10 +367,11 @@ def add_to_proteins( def add_to_complexes( self, + id: str, participants: list[str] = [], **kwargs, ): - params = {"participants": participants} + params = {"id": id, "participants": participants} if "id" in kwargs: params["id"] = kwargs["id"] @@ -375,6 +382,7 @@ def add_to_complexes( def add_to_small_molecules( self, + id: str, name: str, constant: bool = False, vessel_id: Optional[str] = None, @@ -384,6 +392,7 @@ def add_to_small_molecules( **kwargs, ): params = { + "id": id, "name": name, "constant": constant, "vessel_id": vessel_id, @@ -401,17 +410,19 @@ def add_to_small_molecules( def add_to_reactions( self, + id: str, name: str, reversible: bool = False, - rate_law: Optional[Equation] = None, + kinetic_law: Optional[Equation] = None, species: list[ReactionElement] = [], modifiers: list[str] = [], **kwargs, ): params = { + "id": id, "name": name, "reversible": reversible, - "rate_law": rate_law, + "kinetic_law": kinetic_law, "species": species, "modifiers": modifiers, } @@ -425,12 +436,24 @@ def add_to_reactions( def add_to_measurements( self, + id: str, name: str, species: list[MeasurementData] = [], group_id: Optional[str] = None, + ph: Optional[float] = None, + temperature: Optional[float] = None, + temperature_unit: Optional[UnitDefinition] = None, **kwargs, ): - params = {"name": name, "species": species, "group_id": group_id} + params = { + "id": id, + "name": name, + "species": species, + "group_id": group_id, + "ph": ph, + "temperature": temperature, + "temperature_unit": temperature_unit, + } if "id" in kwargs: params["id"] = kwargs["id"] @@ -441,40 +464,53 @@ def add_to_measurements( def add_to_equations( self, - species_id: str, - equation: Equation, + unit: UnitDefinition, + equation_type: EquationType, + equation: str, + species_id: Optional[str] = None, + variables: list[EqVariable] = [], + parameters: list[EqParameter] = [], **kwargs, ): - params = {"species_id": species_id, "equation": equation} + params = { + "unit": unit, + "equation_type": equation_type, + "equation": equation, + "species_id": species_id, + "variables": variables, + "parameters": parameters, + } if "id" in kwargs: params["id"] = kwargs["id"] - self.equations.append(ODE(**params)) + self.equations.append(Equation(**params)) return self.equations[-1] def add_to_parameters( self, + id: str, name: str, - value: float, - unit: UnitDefinition, - constant: bool, + value: Optional[float] = None, + unit: Optional[UnitDefinition] = None, initial_value: Optional[float] = None, upper: Optional[float] = None, lower: Optional[float] = None, stderr: Optional[float] = None, + constant: Optional[bool] = True, **kwargs, ): params = { + "id": id, "name": name, "value": value, "unit": unit, - "constant": constant, "initial_value": initial_value, "upper": upper, "lower": lower, "stderr": stderr, + "constant": constant, } if "id" in kwargs: @@ -496,16 +532,17 @@ class Creator(BaseModel): # JSON-LD fields ld_id: str = Field( - serialization_alias="@id", default_factory=lambda: "md:Creator/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:Creator/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["md:Creator", "schema:creator"], + default_factory=lambda: ["enzml:Creator", "schema:person"], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", "given_name": "schema:givenName", @@ -585,32 +622,33 @@ class Vessel(BaseModel): validate_assigment=True, ) # type: ignore + id: str name: str volume: float unit: UnitDefinition - constant: bool - creator_id: Optional[str] = Field(default=None) + constant: bool = True # JSON-LD fields ld_id: str = Field( - serialization_alias="@id", default_factory=lambda: "md:Vessel/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:Vessel/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["md:Vessel", "OBO:OBI_0400081"], + default_factory=lambda: ["enzml:Vessel", "OBO:OBI_0400081"], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", - "name": "schema:name", - "volume": "OBO:OBI_0002139", - "creator_id": { + "id": { "@id": "schema:identifier", "@type": "@id", }, + "name": "schema:name", + "volume": "OBO:OBI_0002139", }, ) @@ -685,9 +723,10 @@ class Protein(BaseModel): validate_assigment=True, ) # type: ignore + id: str name: str - sequence: str constant: bool = False + sequence: Optional[str] = Field(default=None) vessel_id: Optional[str] = Field(default=None) ecnumber: Optional[str] = Field(default=None) organism: Optional[str] = Field(default=None) @@ -696,18 +735,22 @@ class Protein(BaseModel): # JSON-LD fields ld_id: str = Field( - serialization_alias="@id", default_factory=lambda: "md:Protein/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:Protein/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["md:Protein", "schema:Protein"], + default_factory=lambda: ["enzml:Protein", "schema:Protein"], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "id": { + "@type": "@id", + }, "name": "schema:name", "sequence": "OBO:GSSO_007262", "vessel_id": { @@ -719,6 +762,7 @@ class Protein(BaseModel): "@type": "@id", }, "references": { + "@id": "schema:citation", "@type": "@id", }, }, @@ -795,24 +839,30 @@ class Complex(BaseModel): validate_assigment=True, ) # type: ignore + id: str participants: list[str] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( - serialization_alias="@id", default_factory=lambda: "md:Complex/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:Complex/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "md:Complex", + "enzml:Complex", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, "participants": { "@type": "@id", }, @@ -890,6 +940,7 @@ class SmallMolecule(BaseModel): validate_assigment=True, ) # type: ignore + id: str name: str constant: bool = False vessel_id: Optional[str] = Field(default=None) @@ -900,26 +951,31 @@ class SmallMolecule(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "md:SmallMolecule/" + str(uuid4()), + default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "md:SmallMolecule", + "enzml:SmallMolecule", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, "name": "schema:name", "vessel_id": { "@id": "schema:identifier", "@type": "@id", }, "references": { + "@id": "schema:citation", "@type": "@id", }, }, @@ -996,28 +1052,34 @@ class Reaction(BaseModel): validate_assigment=True, ) # type: ignore + id: str name: str reversible: bool = False - rate_law: Optional[Equation] = Field(default=None) + kinetic_law: Optional[Equation] = Field(default=None) species: list[ReactionElement] = Field(default_factory=list) modifiers: list[str] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( - serialization_alias="@id", default_factory=lambda: "md:Reaction/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:Reaction/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "md:Reaction", + "enzml:Reaction", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, "modifiers": { "@type": "@id", }, @@ -1104,7 +1166,7 @@ def add_type_term( def add_to_species( self, species_id: str, - stoichiometry: Optional[float] = None, + stoichiometry: float, **kwargs, ): params = {"species_id": species_id, "stoichiometry": stoichiometry} @@ -1123,23 +1185,23 @@ class ReactionElement(BaseModel): ) # type: ignore species_id: str - stoichiometry: Optional[float] = Field(default=None) + stoichiometry: float # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "md:ReactionElement/" + str(uuid4()), + default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "md:ReactionElement", + "enzml:ReactionElement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", "species_id": { @@ -1214,130 +1276,64 @@ def add_type_term( self.ld_type.append(term) -class ReactionConditions(BaseModel): +class Equation(BaseModel): model_config: ConfigDict = ConfigDict( # type: ignore validate_assigment=True, ) # type: ignore - temperature: Optional[float] = Field(default=None) - temperature_unit: Optional[UnitDefinition] = Field(default=None) - ph: Optional[float] = Field(default=None) + unit: UnitDefinition + equation_type: EquationType + equation: str + species_id: Optional[str] = Field(default=None) + variables: list[EqVariable] = Field(default_factory=list) + parameters: list[EqParameter] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "md:ReactionConditions/" + str(uuid4()), + default_factory=lambda: "enzml:Equation/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "md:ReactionConditions", + "enzml:Equation", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "species_id": { + "@type": "@id", + }, }, ) - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None, - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + def filter_variables(self, **kwargs) -> list[EqVariable]: + """Filters the variables attribute based on the given kwargs Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute + **kwargs: The attributes to filter by. - Raises: - AssertionError: If the attribute is not found in the model + Returns: + list[EqVariable]: The filtered list of EqVariable objects """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") + return FilterWrapper[EqVariable](self.variables, **kwargs).filter() - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + def filter_parameters(self, **kwargs) -> list[EqParameter]: + """Filters the parameters attribute based on the given kwargs Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. + **kwargs: The attributes to filter by. - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not + Returns: + list[EqParameter]: The filtered list of EqParameter objects """ - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - -class ODE(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore - - species_id: str - equation: Equation - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", default_factory=lambda: "md:ODE/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory=lambda: [ - "md:ODE", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory=lambda: { - "md": "http://mdmodel.net/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "species_id": { - "@type": "@id", - }, - }, - ) + return FilterWrapper[EqParameter](self.parameters, **kwargs).filter() def set_attr_term( self, @@ -1404,38 +1400,76 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) + def add_to_variables( + self, + id: str, + name: str, + symbol: Optional[str] = None, + **kwargs, + ): + params = {"id": id, "name": name, "symbol": symbol} + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.variables.append(EqVariable(**params)) + + return self.variables[-1] + + def add_to_parameters( + self, + id: str, + name: str, + symbol: Optional[str] = None, + value: Optional[float] = None, + **kwargs, + ): + params = {"id": id, "name": name, "symbol": symbol, "value": value} + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.parameters.append(EqParameter(**params)) + + return self.parameters[-1] + class Parameter(BaseModel): model_config: ConfigDict = ConfigDict( # type: ignore validate_assigment=True, ) # type: ignore + id: str name: str - value: float - unit: UnitDefinition - constant: bool + value: Optional[float] = Field(default=None) + unit: Optional[UnitDefinition] = Field(default=None) initial_value: Optional[float] = Field(default=None) upper: Optional[float] = Field(default=None) lower: Optional[float] = Field(default=None) stderr: Optional[float] = Field(default=None) + constant: bool = True # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "md:Parameter/" + str(uuid4()), + default_factory=lambda: "enzml:Parameter/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "md:Parameter", + "enzml:Parameter", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, }, ) @@ -1510,27 +1544,35 @@ class Measurement(BaseModel): validate_assigment=True, ) # type: ignore + id: str name: str species: list[MeasurementData] = Field(default_factory=list) group_id: Optional[str] = Field(default=None) + ph: Optional[float] = Field(default=None) + temperature: Optional[float] = Field(default=None) + temperature_unit: Optional[UnitDefinition] = Field(default=None) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "md:Measurement/" + str(uuid4()), + default_factory=lambda: "enzml:Measurement/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "md:Measurement", + "enzml:Measurement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, "group_id": { "@type": "@id", }, @@ -1662,18 +1704,18 @@ class MeasurementData(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "md:MeasurementData/" + str(uuid4()), + default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "md:MeasurementData", + "enzml:MeasurementData", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", "species_id": { @@ -1748,57 +1790,46 @@ def add_type_term( self.ld_type.append(term) -class Equation(BaseModel): +class UnitDefinition(BaseModel): model_config: ConfigDict = ConfigDict( # type: ignore validate_assigment=True, ) # type: ignore - equation: str - variables: list[EqVariable] = Field(default_factory=list) - parameters: list[EqParameter] = Field(default_factory=list) + id: Optional[str] = Field(default=None) + name: Optional[str] = Field(default=None) + base_units: list[BaseUnit] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( - serialization_alias="@id", default_factory=lambda: "md:Equation/" + str(uuid4()) + serialization_alias="@id", + default_factory=lambda: "enzml:UnitDefinition/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "md:Equation", + "enzml:UnitDefinition", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", }, ) - def filter_variables(self, **kwargs) -> list[EqVariable]: - """Filters the variables attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[EqVariable]: The filtered list of EqVariable objects - """ - - return FilterWrapper[EqVariable](self.variables, **kwargs).filter() - - def filter_parameters(self, **kwargs) -> list[EqParameter]: - """Filters the parameters attribute based on the given kwargs + def filter_base_units(self, **kwargs) -> list[BaseUnit]: + """Filters the base_units attribute based on the given kwargs Args: **kwargs: The attributes to filter by. Returns: - list[EqParameter]: The filtered list of EqParameter objects + list[BaseUnit]: The filtered list of BaseUnit objects """ - return FilterWrapper[EqParameter](self.parameters, **kwargs).filter() + return FilterWrapper[BaseUnit](self.base_units, **kwargs).filter() def set_attr_term( self, @@ -1865,69 +1896,56 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_variables( - self, - id: str, - name: str, - symbol: Optional[str] = None, - **kwargs, - ): - params = {"id": id, "name": name, "symbol": symbol} - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.variables.append(EqVariable(**params)) - - return self.variables[-1] - - def add_to_parameters( + def add_to_base_units( self, - id: str, - name: str, - symbol: Optional[str] = None, - value: Optional[float] = None, + kind: UnitType, + exponent: int, + multiplier: Optional[float] = None, + scale: Optional[float] = None, **kwargs, ): - params = {"id": id, "name": name, "symbol": symbol, "value": value} + params = { + "kind": kind, + "exponent": exponent, + "multiplier": multiplier, + "scale": scale, + } if "id" in kwargs: params["id"] = kwargs["id"] - self.parameters.append(EqParameter(**params)) + self.base_units.append(BaseUnit(**params)) - return self.parameters[-1] + return self.base_units[-1] -class EqVariable(BaseModel): +class BaseUnit(BaseModel): model_config: ConfigDict = ConfigDict( # type: ignore validate_assigment=True, ) # type: ignore - id: str - name: str - symbol: Optional[str] = Field(default=None) + kind: UnitType + exponent: int + multiplier: Optional[float] = Field(default=None) + scale: Optional[float] = Field(default=None) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "md:EqVariable/" + str(uuid4()), + default_factory=lambda: "enzml:BaseUnit/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "md:EqVariable", + "enzml:BaseUnit", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@type": "@id", - }, }, ) @@ -1997,7 +2015,7 @@ def add_type_term( self.ld_type.append(term) -class EqParameter(BaseModel): +class EqVariable(BaseModel): model_config: ConfigDict = ConfigDict( # type: ignore validate_assigment=True, ) # type: ignore @@ -2005,23 +2023,22 @@ class EqParameter(BaseModel): id: str name: str symbol: Optional[str] = Field(default=None) - value: Optional[float] = Field(default=None) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "md:EqParameter/" + str(uuid4()), + default_factory=lambda: "enzml:EqVariable/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "md:EqParameter", + "enzml:EqVariable", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", "id": { @@ -2096,161 +2113,36 @@ def add_type_term( self.ld_type.append(term) -class UnitDefinition(BaseModel): +class EqParameter(BaseModel): model_config: ConfigDict = ConfigDict( # type: ignore validate_assigment=True, ) # type: ignore - id: Optional[str] = Field(default=None) - name: Optional[str] = Field(default=None) - base_units: list[BaseUnit] = Field(default_factory=list) + id: str + name: str + symbol: Optional[str] = Field(default=None) + value: Optional[float] = Field(default=None) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "md:UnitDefinition/" + str(uuid4()), - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory=lambda: [ - "md:UnitDefinition", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory=lambda: { - "md": "http://mdmodel.net/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - }, - ) - - def filter_base_units(self, **kwargs) -> list[BaseUnit]: - """Filters the base_units attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[BaseUnit]: The filtered list of BaseUnit objects - """ - - return FilterWrapper[BaseUnit](self.base_units, **kwargs).filter() - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None, - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - def add_to_base_units( - self, - kind: UnitType, - exponent: int, - multiplier: Optional[float] = None, - scale: Optional[float] = None, - **kwargs, - ): - params = { - "kind": kind, - "exponent": exponent, - "multiplier": multiplier, - "scale": scale, - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.base_units.append(BaseUnit(**params)) - - return self.base_units[-1] - - -class BaseUnit(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore - - kind: UnitType - exponent: int - multiplier: Optional[float] = Field(default=None) - scale: Optional[float] = Field(default=None) - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", default_factory=lambda: "md:BaseUnit/" + str(uuid4()) + default_factory=lambda: "enzml:EqParameter/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", default_factory=lambda: [ - "md:BaseUnit", + "enzml:EqParameter", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { - "md": "http://mdmodel.net/", + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "id": { + "@type": "@id", + }, }, ) @@ -2329,6 +2221,13 @@ class DataTypes(Enum): PEAK_AREA = "peak-area" +class EquationType(Enum): + ASSIGNMENT = "assignment" + INITIAL_ASSIGNMENT = "initialAssignment" + ODE = "ode" + RATE_LAW = "rateLaw" + + class UnitType(Enum): AMPERE = "ampere" AVOGADRO = "avogadro" diff --git a/pyenzyme/units/predefined.py b/pyenzyme/units/predefined.py index 729de810..2591f3a8 100644 --- a/pyenzyme/units/predefined.py +++ b/pyenzyme/units/predefined.py @@ -144,6 +144,7 @@ def dimensionless(): kelvin = UnitDefinition(base_units=[Unit.kelvin()])._get_name() K = UnitDefinition(base_units=[Unit.kelvin()])._get_name() celsius = UnitDefinition(base_units=[Unit.celsius()])._get_name() +C = UnitDefinition(base_units=[Unit.celsius()])._get_name() ## Ontology From b2bb4f1b552283b3a34297468c2a6264a2f74b48 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Wed, 26 Jun 2024 12:56:54 +0200 Subject: [PATCH 020/172] remove unused import --- pyenzyme/model.py | 1 - 1 file changed, 1 deletion(-) diff --git a/pyenzyme/model.py b/pyenzyme/model.py index 23362aaf..b1205c89 100644 --- a/pyenzyme/model.py +++ b/pyenzyme/model.py @@ -2,7 +2,6 @@ from __future__ import annotations -from datetime import date, datetime from enum import Enum from typing import Generic, Optional, TypeVar from uuid import uuid4 From 065d66cc40253f3523a87e6be23d1c0cccca244d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Max=20H=C3=A4u=C3=9Fler?= Date: Fri, 16 Aug 2024 14:36:54 +0200 Subject: [PATCH 021/172] updated pandas dependency version range --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 7ce9dee0..6799849d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,7 +12,7 @@ python = "^3.10" python-libsbml = "^5.20.2" toml = "^0.10.2" rich = "^13.7.1" -pandas = "^2.2.2" +pandas = ">=2.0,<2.2.2" pydantic = "^2.7.4" loguru = "^0.7.2" rdflib = "7.0.0" From 981ddcbe2902b90c6cc210357cc924f3ead68715 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:02:59 +0200 Subject: [PATCH 022/172] update dev examples --- dev-examples/odes/enzymeml.json | 743 ++++++++---------- dev-examples/odes/ode_example.omex | Bin 0 -> 2426 bytes dev-examples/odes/sbml.xml | 111 ++- dev-examples/reactions/enzymeml.json | 609 +++++++------- dev-examples/reactions/reactions_example.omex | Bin 0 -> 2208 bytes dev-examples/reactions/sbml.xml | 96 ++- dev-examples/sbml_export_odes.py | 42 +- dev-examples/sbml_export_reactions.py | 22 +- dev-examples/sbml_import_odes.py | 9 + dev-examples/sbml_import_reactions.py | 9 + 10 files changed, 889 insertions(+), 752 deletions(-) create mode 100644 dev-examples/odes/ode_example.omex create mode 100644 dev-examples/reactions/reactions_example.omex create mode 100644 dev-examples/sbml_import_odes.py create mode 100644 dev-examples/sbml_import_reactions.py diff --git a/dev-examples/odes/enzymeml.json b/dev-examples/odes/enzymeml.json index 4493f3c7..e0237a0e 100644 --- a/dev-examples/odes/enzymeml.json +++ b/dev-examples/odes/enzymeml.json @@ -1,8 +1,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "name": "schema:title", "references": { "@id": "schema:citation", @@ -12,7 +12,7 @@ "modified": "schema:dateModified", "creators": "schema:creator" }, - "@id": "enzml:EnzymeMLDocument/35cadae4-2145-46f6-8f9c-a3a8c53829c8", + "@id": "enzml:EnzymeMLDocument/39303f02-65a0-490b-8e1d-02162fb04199", "@type": [ "enzml:EnzymeMLDocument" ], @@ -23,8 +23,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -32,7 +32,7 @@ "name": "schema:name", "volume": "OBO:OBI_0002139" }, - "@id": "enzml:Vessel/ac7ebad5-c66d-43d9-9f5d-479bba9a2c8a", + "@id": "enzml:Vessel/371d000b-8c93-4abc-822b-cdc223778079", "@type": [ "enzml:Vessel", "OBO:OBI_0400081" @@ -43,22 +43,23 @@ "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000098", "@type": [ "OBO:UO_0000000" ], + "id": "u0", "name": "ml", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/df5d030e-305f-4876-95f5-6126133a0681", + "@id": "enzml:BaseUnit/448808be-98aa-4393-9141-0e13050fe90a", "@type": [ "enzml:BaseUnit" ], @@ -75,8 +76,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@type": "@id" }, @@ -95,7 +96,7 @@ "@type": "@id" } }, - "@id": "enzml:Protein/1c3d0644-1ce3-4afe-8f71-d24869188913", + "@id": "enzml:Protein/5715b8c8-ac93-4e13-a101-3497c37dc260", "@type": [ "enzml:Protein", "schema:Protein" @@ -105,16 +106,46 @@ "constant": false, "sequence": "MTEY", "vessel_id": "v0", + "ecnumber": "1.1.1.1", + "organism": "E.coli", + "organism_tax_id": "12345", "references": [] } ], - "complexes": [], - "small_molecules": [ + "complexes": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "name": "schema:name", + "participants": { + "@type": "@id" + } + }, + "@id": "enzml:Complex/a3f08a33-46d9-4ede-87b3-72b652279876", + "@type": [ + "enzml:Complex" + ], + "id": "c0", + "name": "Enzyme-Substrate Complex", + "constant": false, + "participants": [ + "p0", + "s0" + ] + } + ], + "small_molecules": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -129,7 +160,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/2d122f45-3a5a-478c-8a54-11cac6d29c31", + "@id": "enzml:SmallMolecule/b2d02c26-70fa-4401-b32f-76ff44b6e59a", "@type": [ "enzml:SmallMolecule" ], @@ -137,13 +168,15 @@ "name": "Substrate", "constant": false, "vessel_id": "v0", + "canonical_smiles": "CC(=O)O", + "inchikey": "QTBSBXVTEAMEQO-UHFFFAOYSA-N", "references": [] }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -158,7 +191,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/56c68bf7-99be-40a7-9bd4-bf23a6b99b93", + "@id": "enzml:SmallMolecule/32b0f5f4-219d-4918-84c9-de6912f3acb6", "@type": [ "enzml:SmallMolecule" ], @@ -166,6 +199,8 @@ "name": "Product", "constant": false, "vessel_id": "v0", + "canonical_smiles": "CC(=O)O", + "inchikey": "QTBSBXVTEAMEQO-UHFFFAOYSA-N", "references": [] } ], @@ -174,8 +209,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -184,48 +219,48 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/d2b94875-b8d2-4248-81b8-28d15eaebd67", + "@id": "enzml:Measurement/fbaacff6-d90f-48e6-b16c-98c77c00d5f9", "@type": [ "enzml:Measurement" ], "id": "m0", "name": "m0", - "species": [ + "species_data": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/9fa84251-7159-4e5e-9564-f041a1030edb", + "@id": "enzml:MeasurementData/bab6a019-2090-4f60-b20c-0a39d5dd2401", "@type": [ "enzml:MeasurementData" ], "species_id": "s0", - "init_conc": 0.0, - "data_type": "conc", + "initial": 0.0, "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000063", "@type": [ "OBO:UO_0000000" ], - "name": "mmol / l s", + "id": "u2", + "name": "mmol / l", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/0ff9ce48-32c0-468e-a544-b5ef6d6b33b6", + "@id": "enzml:BaseUnit/477cca4f-ec95-45a1-8c05-4578beb60b30", "@type": [ "enzml:BaseUnit" ], @@ -236,62 +271,50 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/734baec0-49d4-44a9-9721-2939a6e329a8", + "@id": "enzml:BaseUnit/a045cb18-b5a9-44b1-88e2-1bb1374601d5", "@type": [ "enzml:BaseUnit" ], "kind": "litre", "exponent": -1, "scale": 1.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": 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"http://purl.obolibrary.org/obo/PATO_0000033", + "data": [ 0.0, 1.0, 2.0, @@ -304,7 +327,7 @@ 9.0, 10.0 ], - "data": [ + "time": [ 0.0, 1.0, 2.0, @@ -317,43 +340,43 @@ 9.0, 10.0 ], - "is_calculated": false + "is_simulated": false }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/49066465-14a1-44bf-8740-f9b33fc1e3b2", + "@id": "enzml:MeasurementData/7da88045-0b0d-44a5-afe5-ef9a6002df93", "@type": [ "enzml:MeasurementData" ], "species_id": "s1", - "init_conc": 10.0, - "data_type": "conc", + "initial": 10.0, "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000063", "@type": [ "OBO:UO_0000000" ], - "name": "mmol / l s", + "id": "u2", + "name": "mmol / l", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/0ff9ce48-32c0-468e-a544-b5ef6d6b33b6", + "@id": "enzml:BaseUnit/477cca4f-ec95-45a1-8c05-4578beb60b30", "@type": [ "enzml:BaseUnit" ], @@ -364,74 +387,49 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/734baec0-49d4-44a9-9721-2939a6e329a8", + "@id": "enzml:BaseUnit/a045cb18-b5a9-44b1-88e2-1bb1374601d5", "@type": [ "enzml:BaseUnit" ], "kind": "litre", "exponent": -1, "scale": 1.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", 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- 2.0, - 3.0, - 4.0, - 5.0, - 6.0, - 7.0, - 8.0, - 9.0, - 10.0 - ], + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", "data": [ 10.0, 9.0, @@ -445,7 +443,20 @@ 1.0, 0.0 ], - "is_calculated": false + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], + "is_simulated": false } ], "ph": 7.0, @@ -453,22 +464,23 @@ "temperature_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000012", "@type": [ "OBO:UO_0000000" ], + "id": "u3", "name": "K", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/6af90bd2-1124-4908-a486-7c850350248c", + "@id": 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"species_id": "s0", - "init_conc": 0.0, - "data_type": "conc", + "initial": 0.0, "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000063", "@type": [ "OBO:UO_0000000" ], - "name": "mmol / l s", + "id": "u2", + "name": "mmol / l", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/0ff9ce48-32c0-468e-a544-b5ef6d6b33b6", + "@id": "enzml:BaseUnit/477cca4f-ec95-45a1-8c05-4578beb60b30", "@type": [ "enzml:BaseUnit" ], @@ -544,62 +556,50 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": 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"@type": [ "enzml:MeasurementData" ], "species_id": "s1", - "init_conc": 10.0, - "data_type": "conc", + "initial": 10.0, "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000063", "@type": [ "OBO:UO_0000000" ], - "name": "mmol / l s", + "id": "u2", + "name": "mmol / l", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/0ff9ce48-32c0-468e-a544-b5ef6d6b33b6", + "@id": "enzml:BaseUnit/477cca4f-ec95-45a1-8c05-4578beb60b30", "@type": [ "enzml:BaseUnit" ], @@ -672,74 +672,49 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": 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"http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/07e17ced-79f5-4ef8-bf2b-01e5217e58b2", + "@id": "enzml:BaseUnit/c6ff977b-6f75-46fd-ac15-3a8c3ab4e8bd", "@type": [ "enzml:BaseUnit" ], "kind": "second", - "exponent": -1, + "exponent": 1, "scale": 1.0 } ] }, - "time": [ - 0.0, - 1.0, - 2.0, - 3.0, - 4.0, - 5.0, - 6.0, - 7.0, - 8.0, - 9.0, - 10.0 - ], + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", "data": [ 10.0, 9.0, @@ -753,7 +728,20 @@ 1.0, 0.0 ], - "is_calculated": false + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], + "is_simulated": false } ], "ph": 7.0, @@ -761,22 +749,23 @@ "temperature_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": 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"enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "OBO:UO_0000063", - "@type": [ - "OBO:UO_0000000" - ], - "name": "mmol / l s", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/0ff9ce48-32c0-468e-a544-b5ef6d6b33b6", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "mole", - "exponent": 1, - "scale": -3.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/734baec0-49d4-44a9-9721-2939a6e329a8", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "litre", - "exponent": -1, - "scale": 1.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/07e17ced-79f5-4ef8-bf2b-01e5217e58b2", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "second", - "exponent": -1, - "scale": 1.0 - } - ] - }, - "equation_type": "ode", "equation": "E_tot*kcat*s0/(K_m + s0)", + "equation_type": "ode", "species_id": "s1", "variables": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", - "id": { - "@type": "@id" - } + "OBO": "http://purl.obolibrary.org/obo/", + "id": "schema:identifier" }, - "@id": "enzml:EqVariable/77d04fd3-3ee4-4f0d-9c8d-ca9265ab515e", + "@id": "enzml:Variable/6a1e9596-a851-467f-aac8-b12595a94856", "@type": [ - "enzml:EqVariable" + "enzml:Variable" ], "id": "s0", "name": "s0", @@ -887,189 +815,204 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { + "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:EqParameter/ee99a464-e1ce-4158-b857-fccdfadda000", + "@id": "enzml:Parameter/49b1a46d-7cc6-436c-b57f-d17a44d980b9", "@type": [ - "enzml:EqParameter" + "enzml:Parameter" ], - "id": "E_tot", - "name": "E_tot", - "symbol": "E_tot" + "id": "K_m", + "name": "K_m", + "symbol": "K_m", + "unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "OBO:UO_0000063", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u2", + "name": "mmol / l", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/477cca4f-ec95-45a1-8c05-4578beb60b30", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "mole", + "exponent": 1, + "scale": -3.0 + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/a045cb18-b5a9-44b1-88e2-1bb1374601d5", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "litre", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "upper": 100.0, + "lower": 0.0, + "stderr": 0.1, + "constant": true }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { + "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:EqParameter/3d89b7c9-1814-48fd-9461-4a1f50364440", + "@id": "enzml:Parameter/71b45227-a2a7-4e0c-a273-9ef99dbcab1a", "@type": [ - "enzml:EqParameter" + "enzml:Parameter" ], - "id": "K_m", - "name": "K_m", - "symbol": "K_m" + "id": "E_tot", + "name": "E_tot", + "symbol": "E_tot", + "unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "OBO:UO_0000063", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u2", + "name": "mmol / l", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/477cca4f-ec95-45a1-8c05-4578beb60b30", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "mole", + "exponent": 1, + "scale": -3.0 + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/a045cb18-b5a9-44b1-88e2-1bb1374601d5", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "litre", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "upper": 100.0, + "lower": 0.0, + "stderr": 0.1, + "constant": true }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { + "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:EqParameter/b8aa5a96-720a-468c-95c4-874a48b12f70", + "@id": "enzml:Parameter/f4bdcef7-8883-4cf2-b1b5-6ccacd9b1e37", "@type": [ - "enzml:EqParameter" + "enzml:Parameter" ], "id": "kcat", "name": "kcat", - "symbol": "kcat" - } - ] - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "species_id": { - "@type": "@id" - }, - "id": { - "@type": "@id" - } - }, - "@id": "enzml:Equation/126f21be-e799-4211-bb90-3c5d6e8bc4b6", - "@type": [ - "enzml:Equation" - ], - "unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "OBO:UO_0000063", - "@type": [ - "OBO:UO_0000000" - ], - "name": "mmol / l s", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/0ff9ce48-32c0-468e-a544-b5ef6d6b33b6", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "mole", - "exponent": 1, - "scale": -3.0 - }, - { + "symbol": "kcat", + "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/734baec0-49d4-44a9-9721-2939a6e329a8", + "@id": "OBO:UO_0000010", "@type": [ - "enzml:BaseUnit" + "OBO:UO_0000000" ], - "kind": "litre", - "exponent": -1, - "scale": 1.0 + "id": "u4", + "name": "1 / s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/c6ff977b-6f75-46fd-ac15-3a8c3ab4e8bd", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": -1, + "scale": 1.0 + } + ] }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/07e17ced-79f5-4ef8-bf2b-01e5217e58b2", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "second", - "exponent": -1, - "scale": 1.0 - } - ] - }, - "equation_type": "initialAssignment", - "equation": "100", - "species_id": "E_tot", - "variables": [], - "parameters": [] - } - ], - "parameters": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" + "upper": 100.0, + "lower": 0.0, + "stderr": 0.1, + "constant": true } - }, - "@id": "enzml:Parameter/24132890-1b53-4d3e-9060-1efc1cf0e8dd", - "@type": [ - "enzml:Parameter" - ], - "id": "E_tot", - "name": "E_tot", - "constant": true + ] }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - } - }, - "@id": "enzml:Parameter/f07b469e-ecc9-4717-8d42-2e16997ef701", - "@type": [ - "enzml:Parameter" - ], - "id": "K_m", - "name": "K_m", - "constant": true - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", + "species_id": { "@type": "@id" } }, - "@id": "enzml:Parameter/4c3869a7-c11b-4cb7-8301-215be7708558", + "@id": "enzml:Equation/e0c67659-dcfc-401b-a48d-0599f685aa91", "@type": [ - "enzml:Parameter" + "enzml:Equation" ], - "id": "kcat", - "name": "kcat", - "constant": true + "equation": "100", + "equation_type": "initialAssignment", + "species_id": "E_tot", + "variables": [], + "parameters": [] } ] } \ No newline at end of file diff --git a/dev-examples/odes/ode_example.omex b/dev-examples/odes/ode_example.omex new file mode 100644 index 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a/dev-examples/odes/sbml.xml +++ b/dev-examples/odes/sbml.xml @@ -1,23 +1,23 @@ - + - - + + - + - - + + - + - + - - + + @@ -34,7 +34,7 @@ - + @@ -45,10 +45,9 @@ - - + @@ -57,7 +56,7 @@ - + @@ -72,12 +71,24 @@ + + + + + + + + + + + + - + Vessel 1 10.0 @@ -88,68 +99,109 @@ - + - + Enzyme MTEY + E.coli + 1.1.1.1 + E.coli + 12345 MTEY - + + + + + Enzyme-Substrate Complex + + + + + p0 + s0 + + + + - + Substrate + + QTBSBXVTEAMEQO-UHFFFAOYSA-N + CC(=O)O + - + - + Product + + QTBSBXVTEAMEQO-UHFFFAOYSA-N + CC(=O)O + - + - + + + 0.0 + 100.0 + 0.1 + - + - + + + 0.0 + 100.0 + 0.1 + - + - + + + 0.0 + 100.0 + 0.1 + @@ -162,6 +214,11 @@ + + + + + diff --git a/dev-examples/reactions/enzymeml.json b/dev-examples/reactions/enzymeml.json index 7581d1fc..841b2fd7 100644 --- a/dev-examples/reactions/enzymeml.json +++ b/dev-examples/reactions/enzymeml.json @@ -1,8 +1,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "name": "schema:title", "references": { "@id": "schema:citation", @@ -12,7 +12,7 @@ "modified": "schema:dateModified", "creators": "schema:creator" }, - "@id": "enzml:EnzymeMLDocument/706dc08f-91d9-476f-bc39-14e26ae43bd4", + "@id": "enzml:EnzymeMLDocument/4cc6b230-1ca7-4b01-acfe-34ca8a8c8b03", "@type": [ "enzml:EnzymeMLDocument" ], @@ -23,8 +23,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -32,7 +32,7 @@ "name": "schema:name", "volume": "OBO:OBI_0002139" }, - "@id": "enzml:Vessel/f8628df7-14e3-42b8-a77d-7c4f92f1166c", + "@id": "enzml:Vessel/040a3842-d40e-44e8-a32d-19d830c8572c", "@type": [ "enzml:Vessel", "OBO:OBI_0400081" @@ -43,22 +43,23 @@ "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000098", "@type": [ "OBO:UO_0000000" ], + "id": "u0", "name": "ml", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/fbb3c11b-a165-4792-8070-dc241f31da60", + "@id": "enzml:BaseUnit/dfeb036d-92c6-4067-8eb9-36370cff8244", "@type": [ "enzml:BaseUnit" ], @@ -75,8 +76,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@type": "@id" }, @@ -95,7 +96,7 @@ "@type": "@id" } }, - "@id": "enzml:Protein/86214cf8-977c-4fd0-8c1a-b142c32eaa74", + "@id": "enzml:Protein/d24ac8cf-2118-4bc4-b32f-8dbe37a00aa4", "@type": [ "enzml:Protein", "schema:Protein" @@ -113,8 +114,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -129,7 +130,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/da9af365-0490-4495-b410-98183fe493ca", + "@id": "enzml:SmallMolecule/4430bc12-a97a-4a8c-a753-59d62b8d5be1", "@type": [ "enzml:SmallMolecule" ], @@ -142,8 +143,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -158,7 +159,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/378ca858-97b7-4eed-9187-2fe73959885f", + "@id": "enzml:SmallMolecule/54498f68-5ca7-4515-a8a0-20bff1da321d", "@type": [ "enzml:SmallMolecule" ], @@ -173,8 +174,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -183,101 +184,39 @@ "@type": "@id" } }, - "@id": "enzml:Reaction/e29a838b-542f-4772-8936-087670816036", + "@id": "enzml:Reaction/bdbaa018-4f0c-44a8-a67b-ae88e294dd20", "@type": [ "enzml:Reaction" ], - "id": "Reaction 1", + "id": "r0", "name": "Reaction 1", "reversible": false, "kinetic_law": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id" - }, - "id": { - "@type": "@id" } }, - "@id": "enzml:Equation/6394e9d8-13ae-4b38-bbfb-c8d18ca9ab4e", + "@id": "enzml:Equation/add0038a-e325-454e-8ff6-a7ab5ece87fe", "@type": [ "enzml:Equation" ], - "unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "OBO:UO_0000063", - "@type": [ - "OBO:UO_0000000" - ], - "name": "mmol / l s", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/64d34694-8942-4ed5-b922-3c928695ec43", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "mole", - "exponent": 1, - "scale": -3.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/6a9cc7e3-8777-4438-9a1e-d613cd5ee13a", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "litre", - "exponent": -1, - "scale": 1.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/d5995db5-1a95-4cc6-9513-b8a1770cdef9", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "second", - "exponent": -1, - "scale": 1.0 - } - ] - }, - "equation_type": "assignment", "equation": "kcat*p0*s0/(K_m + s0)", - "species_id": "v", + "equation_type": "rateLaw", "variables": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", - "id": { - "@type": "@id" - } + "OBO": "http://purl.obolibrary.org/obo/", + "id": "schema:identifier" }, - "@id": "enzml:EqVariable/30e94d78-a980-4066-8a91-11de93015927", + "@id": "enzml:Variable/c53d54fe-9297-4f3c-980b-25bea0734058", "@type": [ - "enzml:EqVariable" + "enzml:Variable" ], "id": "p0", "name": "p0", @@ -286,15 +225,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", - "id": { - "@type": "@id" - } + "OBO": "http://purl.obolibrary.org/obo/", + "id": "schema:identifier" }, - "@id": "enzml:EqVariable/a57075b6-3179-42ae-b99d-0c41de223f22", + "@id": "enzml:Variable/e0be55cb-1f6e-4933-a400-d2ef9db25329", "@type": [ - "enzml:EqVariable" + "enzml:Variable" ], "id": "s0", "name": "s0", @@ -305,53 +242,118 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { + "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:EqParameter/a186518c-17b3-4fde-ac7d-94bda76c6be9", + "@id": "enzml:Parameter/1e6d62f9-49b9-4aad-be74-490c6e9d6f7a", "@type": [ - "enzml:EqParameter" + "enzml:Parameter" ], "id": "K_m", "name": "K_m", - "symbol": "K_m" - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@type": "@id" - } + "symbol": "K_m", + "unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "OBO:UO_0000063", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u1", + "name": "mmol / l", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/38393576-f6dd-4f90-8528-3a75ea49d1d4", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "mole", + "exponent": 1, + "scale": -3.0 + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/31c7d1bf-d71b-4b66-8a47-93d3e7711d47", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "litre", + "exponent": -1, + "scale": 1.0 + } + ] }, - "@id": "enzml:EqParameter/1cccb9f1-4edf-4cda-9e6b-04ffc4679795", - "@type": [ - "enzml:EqParameter" - ], - "id": "v", - "name": "v", - "symbol": "v" + "upper": 100.0, + "lower": 0.0, + "stderr": 0.1, + "constant": true }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { + "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:EqParameter/059857c2-eff4-42ff-96c6-5e3a2438f128", + "@id": "enzml:Parameter/c39f3e34-c4da-4a47-b82a-43d9ba2be5bf", "@type": [ - "enzml:EqParameter" + "enzml:Parameter" ], "id": "kcat", "name": "kcat", - "symbol": "kcat" + "symbol": "kcat", + "unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "OBO:UO_0000010", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u2", + "name": "1 / s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/ffb7a3e9-4bb5-4d6c-858c-3ab6d953f9a4", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "upper": 100.0, + "lower": 0.0, + "stderr": 0.1, + "constant": true } ] }, @@ -359,13 +361,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id" } }, - "@id": "enzml:ReactionElement/73385fe9-1d7a-4758-8053-c45382c1ad34", + "@id": "enzml:ReactionElement/cb145bd9-0333-435e-ab2b-eb0f3f6bb9c0", "@type": [ "enzml:ReactionElement" ], @@ -375,13 +377,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id" } }, - "@id": "enzml:ReactionElement/db834938-bd23-4e8e-a0a5-ea6f478b7041", + "@id": "enzml:ReactionElement/ac29c50c-2818-400a-ae93-49a09f381ecb", "@type": [ "enzml:ReactionElement" ], @@ -398,8 +400,8 @@ { 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"enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000063", "@type": [ "OBO:UO_0000000" ], - "name": "mmol / l s", + "id": "u1", + "name": "mmol / l", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/64d34694-8942-4ed5-b922-3c928695ec43", + "@id": "enzml:BaseUnit/38393576-f6dd-4f90-8528-3a75ea49d1d4", "@type": [ "enzml:BaseUnit" ], @@ -460,62 +462,50 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": 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"data_type": "conc", + "initial": 10.0, "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000063", "@type": [ "OBO:UO_0000000" ], - "name": "mmol / l s", + "id": "u1", + "name": "mmol / l", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/64d34694-8942-4ed5-b922-3c928695ec43", + "@id": "enzml:BaseUnit/38393576-f6dd-4f90-8528-3a75ea49d1d4", "@type": [ "enzml:BaseUnit" ], @@ -588,74 +578,49 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": 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"https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/d5995db5-1a95-4cc6-9513-b8a1770cdef9", + "@id": "enzml:BaseUnit/ffb7a3e9-4bb5-4d6c-858c-3ab6d953f9a4", "@type": [ "enzml:BaseUnit" ], "kind": "second", - "exponent": -1, + "exponent": 1, "scale": 1.0 } ] }, - "time": [ - 0.0, - 1.0, - 2.0, - 3.0, - 4.0, - 5.0, - 6.0, - 7.0, - 8.0, - 9.0, - 10.0 - ], + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", "data": [ 10.0, 9.0, @@ -669,15 +634,59 @@ 1.0, 0.0 ], - "is_calculated": false + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], + "is_simulated": false } - ] + ], + "ph": 7.0, + "temperature": 298.15, + "temperature_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "OBO:UO_0000012", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u4", + "name": "K", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/839c0ac5-eec5-40ec-9c76-e25d735f065d", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "kelvin", + "exponent": 1, + "scale": 1.0 + } + ] + } }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -686,48 +695,48 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/537b7ad5-d1da-4a3f-8823-ce844cb4fd15", + "@id": "enzml:Measurement/5b279983-6b56-4c70-a807-282808973cc4", "@type": [ "enzml:Measurement" ], "id": "m1", "name": "m1", - "species": [ + "species_data": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": 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"enzml:BaseUnit/38393576-f6dd-4f90-8528-3a75ea49d1d4", "@type": [ "enzml:BaseUnit" ], @@ -738,62 +747,50 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/6a9cc7e3-8777-4438-9a1e-d613cd5ee13a", + "@id": "enzml:BaseUnit/31c7d1bf-d71b-4b66-8a47-93d3e7711d47", "@type": [ "enzml:BaseUnit" ], "kind": "litre", "exponent": -1, "scale": 1.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/d5995db5-1a95-4cc6-9513-b8a1770cdef9", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "second", - "exponent": -1, - "scale": 1.0 } ] }, "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000010", "@type": [ "OBO:UO_0000000" ], + "id": "u3", "name": "s", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/d5995db5-1a95-4cc6-9513-b8a1770cdef9", + "@id": "enzml:BaseUnit/ffb7a3e9-4bb5-4d6c-858c-3ab6d953f9a4", "@type": [ "enzml:BaseUnit" ], "kind": "second", - "exponent": -1, + "exponent": 1, "scale": 1.0 } ] }, - "time": [ + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", + "data": [ 0.0, 1.0, 2.0, @@ -806,7 +803,7 @@ 9.0, 10.0 ], - "data": [ + "time": [ 0.0, 1.0, 2.0, @@ -819,43 +816,43 @@ 9.0, 10.0 ], - "is_calculated": false + "is_simulated": false }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/0a6e65ad-b5a8-4ed8-a75d-c61d12db521e", + "@id": "enzml:MeasurementData/42f843c5-4042-4f22-a076-5626b86444c7", "@type": [ "enzml:MeasurementData" ], "species_id": "s1", - "init_conc": 10.0, - "data_type": "conc", + "initial": 10.0, "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000063", "@type": [ "OBO:UO_0000000" ], - "name": "mmol / l s", + "id": "u1", + "name": "mmol / l", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/64d34694-8942-4ed5-b922-3c928695ec43", + "@id": "enzml:BaseUnit/38393576-f6dd-4f90-8528-3a75ea49d1d4", "@type": [ "enzml:BaseUnit" ], @@ -866,74 +863,49 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/6a9cc7e3-8777-4438-9a1e-d613cd5ee13a", + "@id": "enzml:BaseUnit/31c7d1bf-d71b-4b66-8a47-93d3e7711d47", "@type": [ "enzml:BaseUnit" ], "kind": "litre", "exponent": -1, "scale": 1.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/d5995db5-1a95-4cc6-9513-b8a1770cdef9", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "second", - "exponent": -1, - "scale": 1.0 } ] }, "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000010", "@type": [ "OBO:UO_0000000" ], + "id": "u3", "name": "s", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/d5995db5-1a95-4cc6-9513-b8a1770cdef9", + "@id": "enzml:BaseUnit/ffb7a3e9-4bb5-4d6c-858c-3ab6d953f9a4", "@type": [ "enzml:BaseUnit" ], "kind": "second", - "exponent": -1, + "exponent": 1, "scale": 1.0 } ] }, - "time": [ - 0.0, - 1.0, - 2.0, - 3.0, - 4.0, - 5.0, - 6.0, - 7.0, - 8.0, - 9.0, - 10.0 - ], + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", "data": [ 10.0, 9.0, @@ -947,11 +919,54 @@ 1.0, 0.0 ], - "is_calculated": false + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], + "is_simulated": false } - ] + ], + "ph": 7.0, + "temperature": 298.15, + "temperature_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "OBO:UO_0000012", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u4", + "name": "K", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/839c0ac5-eec5-40ec-9c76-e25d735f065d", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "kelvin", + "exponent": 1, + "scale": 1.0 + } + ] + } } ], - "equations": [], - "parameters": [] + "equations": [] } \ No newline at end of file diff --git a/dev-examples/reactions/reactions_example.omex b/dev-examples/reactions/reactions_example.omex new file mode 100644 index 0000000000000000000000000000000000000000..3ae590985893f7b06387ac93a0979f94814f6daf GIT 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@@ -68,10 +99,10 @@ - + - + Enzyme MTEY @@ -83,20 +114,20 @@ - + - + Substrate - + - + Product @@ -104,6 +135,36 @@ + + + + + + + + + + 0.0 + 100.0 + 0.1 + + + + + + + + + + + + 0.0 + 100.0 + 0.1 + + + + @@ -116,6 +177,12 @@ + + + + + + @@ -132,11 +199,6 @@ - - - - - diff --git a/dev-examples/sbml_export_odes.py b/dev-examples/sbml_export_odes.py index 339caaf6..034e9d0f 100644 --- a/dev-examples/sbml_export_odes.py +++ b/dev-examples/sbml_export_odes.py @@ -1,17 +1,34 @@ import pyenzyme as pe import pyenzyme.equations as peq - from pyenzyme.sbml.serializer import to_sbml +from pyenzyme.tools import get_all_parameters from pyenzyme.units import mM, s, ml, K doc = pe.EnzymeMLDocument(name="Test") +ml.id = "u0" +s.id = "u1" +mM.id = "u2" +K.id = "u3" + # Add Vessels vessel = doc.add_to_vessels(name="Vessel 1", volume=10.0, unit=ml, id="v0") # Add Species -substrate = doc.add_to_small_molecules(id="s0", name="Substrate", vessel_id=vessel.id) -product = doc.add_to_small_molecules(id="s1", name="Product", vessel_id=vessel.id) +substrate = doc.add_to_small_molecules( + id="s0", + name="Substrate", + vessel_id=vessel.id, + canonical_smiles="CC(=O)O", + inchikey="QTBSBXVTEAMEQO-UHFFFAOYSA-N", +) +product = doc.add_to_small_molecules( + id="s1", + name="Product", + vessel_id=vessel.id, + canonical_smiles="CC(=O)O", + inchikey="QTBSBXVTEAMEQO-UHFFFAOYSA-N", +) # Add Enzyme enzyme = doc.add_to_proteins( @@ -19,13 +36,21 @@ name="Enzyme", sequence="MTEY", vessel_id=vessel.id, + ecnumber="1.1.1.1", + organism="E.coli", + organism_tax_id="12345", +) + +enzyme_complex = doc.add_to_complexes( + id="c0", + name="Enzyme-Substrate Complex", + participants=[enzyme.id, substrate.id], ) doc.equations += peq.build_equations( "s1'(t) = kcat * E_tot * s0(t) / (K_m + s0(t))", "E_tot = 100", - units=[mM / s, mM], - enzmldoc=doc, + unit_mapping={"kcat": 1 / s, "K_m": mM, "E_tot": mM}, ) doc.measurements += pe.read_excel( @@ -34,10 +59,15 @@ time_unit=s, ) +for parameter in get_all_parameters(doc): + parameter.lower = 0.0 + parameter.upper = 100.0 + parameter.stderr = 0.1 + for meas in doc.measurements: meas.temperature = 298.15 meas.temperature_unit = K meas.ph = 7.0 -to_sbml(doc, "./dev-examples/odes/sbml.xml") +to_sbml(doc, out="./dev-examples/odes/ode_example.omex") pe.write_enzymeml(doc=doc, path="./dev-examples/odes/enzymeml.json") diff --git a/dev-examples/sbml_export_reactions.py b/dev-examples/sbml_export_reactions.py index 53d61574..030aa9d1 100644 --- a/dev-examples/sbml_export_reactions.py +++ b/dev-examples/sbml_export_reactions.py @@ -1,8 +1,8 @@ import pyenzyme as pe import pyenzyme.equations as peq - from pyenzyme.sbml.serializer import to_sbml -from pyenzyme.units import mM, s, ml +from pyenzyme.tools import get_all_parameters +from pyenzyme.units import mM, s, ml, K doc = pe.EnzymeMLDocument(name="Test") @@ -25,11 +25,13 @@ reaction = peq.build_reaction( scheme="s0 -> s1", name="Reaction 1", + id="r0", modifiers=[enzyme.id], ) + reaction.kinetic_law = peq.build_equation( - "v(t) = kcat * p0(t) * s0(t) / ( K_m + s0(t) )", - unit=mM / s, + "kcat * p0(t) * s0(t) / ( K_m + s0(t) )", + unit_mapping={"kcat": 1 / s, "K_m": mM}, ) doc.reactions += [reaction] @@ -40,5 +42,15 @@ time_unit=s, ) -to_sbml(doc, "./dev-examples/reactions/sbml.xml") +for parameter in get_all_parameters(doc): + parameter.lower = 0.0 + parameter.upper = 100.0 + parameter.stderr = 0.1 + +for meas in doc.measurements: + meas.temperature = 298.15 + meas.temperature_unit = K + meas.ph = 7.0 + +to_sbml(doc, out="./dev-examples/reactions/reactions_example.omex") pe.write_enzymeml(doc=doc, path="./dev-examples/reactions/enzymeml.json") diff --git a/dev-examples/sbml_import_odes.py b/dev-examples/sbml_import_odes.py new file mode 100644 index 00000000..a78dfcf3 --- /dev/null +++ b/dev-examples/sbml_import_odes.py @@ -0,0 +1,9 @@ +from pathlib import Path + +import rich + +from pyenzyme.sbml import read_sbml + +doc = read_sbml(Path("./dev-examples/odes/ode_example.omex")) + +rich.print(doc) diff --git a/dev-examples/sbml_import_reactions.py b/dev-examples/sbml_import_reactions.py new file mode 100644 index 00000000..8c47df7a --- /dev/null +++ b/dev-examples/sbml_import_reactions.py @@ -0,0 +1,9 @@ +from pathlib import Path + +import rich + +from pyenzyme.sbml import read_sbml + +doc = read_sbml(Path("./dev-examples/reactions/reactions_example.omex")) + +rich.print(doc) From ef42fa79c0d76de2409c77fc67cbe80794fc2b8d Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:03:31 +0200 Subject: [PATCH 023/172] implement sbml omex parser --- pyenzyme/sbml/omex.py | 73 ++++++ pyenzyme/sbml/parser.py | 512 ++++++++++++++++++++++++++++++++++++++++ 2 files changed, 585 insertions(+) create mode 100644 pyenzyme/sbml/omex.py create mode 100644 pyenzyme/sbml/parser.py diff --git a/pyenzyme/sbml/omex.py b/pyenzyme/sbml/omex.py new file mode 100644 index 00000000..1f86734a --- /dev/null +++ b/pyenzyme/sbml/omex.py @@ -0,0 +1,73 @@ +from __future__ import annotations + +import tempfile +from pathlib import Path + +import pandas as pd +from pymetadata.omex import EntryFormat, ManifestEntry, Omex + + +def create_sbml_omex( + sbml_doc: str, + data: pd.DataFrame | None, + out: Path, +) -> None: + """ + Create an OMEX archive with the given SBML and data files. + + Args: + sbml_doc (str): The SBML document to include in the archive. + data (pd.DataFrame | None): The data to include in the archive. + out (Path): The path to save the OMEX archive. + + Returns: + Omex: The created OMEX archive + + """ + + with tempfile.TemporaryDirectory() as temp_dir: + omex = Omex() + + sbml_path = f"{temp_dir}/model.xml" + with open(sbml_path, "w") as f: + f.write(sbml_doc) + omex.add_entry( + entry_path=Path(sbml_path), + entry=ManifestEntry( + location="./model.xml", + format=EntryFormat.SBML, + master=True, + ), + ) + + if data is not None: + data_path = f"{temp_dir}/data.tsv" + data.to_csv(data_path, sep="\t", index=False) + omex.add_entry( + entry_path=Path(data_path), + entry=ManifestEntry( + location="./data.tsv", + format=EntryFormat.TSV, + ), + ) + + omex.to_omex(out) + + +def read_sbml_omex(path: Path) -> tuple[Path, Path | None]: + """ + Read an OMEX archive and return the SBML and data file paths. + + Args: + path (Path): The path to the OMEX archive. + + Returns: + tuple[Path, Path | None]: The SBML file path and the data file path, if available. + + """ + + omex = Omex.from_omex(path) + sbml_file = omex.get_path("./model.xml") + data = omex.get_path("./data.tsv") + + return sbml_file, data diff --git a/pyenzyme/sbml/parser.py b/pyenzyme/sbml/parser.py new file mode 100644 index 00000000..815797e7 --- /dev/null +++ b/pyenzyme/sbml/parser.py @@ -0,0 +1,512 @@ +from __future__ import annotations + +import math +import re +import xml.etree.ElementTree as ET +from pathlib import Path +from typing import IO + +import libsbml as sbml # type: ignore +from loguru import logger # type: ignore + +import pyenzyme as pe +from pyenzyme import tools +from pyenzyme.logging import add_logger +from pyenzyme.units import M, s +from . import read_sbml_omex +from .ldutils import parse_sbml_rdf_annotation + +MAPPINGS = tools.read_static_file("pyenzyme.sbml", "mappings.toml") +ENZYMEML_NS = "https://www.enzymeml.org/v2" + + +def read_sbml(path: Path | str): + add_logger(name="SBML") + + # Create globals to use in the functions + global units + global parameters + global path_prefix + global tsv_path + + # Read the OMEX archive and extract the SBML and TSV paths + sbml_path, tsv_path = read_sbml_omex(path) + + # Read the SBML file and init an EnzymeML document + model = _init_and_read_sbml(open(sbml_path)) + enzmldoc = pe.EnzymeMLDocument(name=model.getName()) + + # Extract units to map these to the EnzymeML entities + units = { # type: ignore + unit.getId(): _parse_unit(unit) for unit in model.getListOfUnitDefinitions() + } + + # Extract and sort species + species = [_parse_species(species) for species in model.getListOfSpecies()] + enzmldoc.small_molecules = [s for s in species if isinstance(s, pe.SmallMolecule)] + enzmldoc.proteins = [s for s in species if isinstance(s, pe.Protein)] + enzmldoc.complexes = [s for s in species if isinstance(s, pe.Complex)] + + # Extract vessels + enzmldoc.vessels = [_parse_vessel(comp) for comp in model.getListOfCompartments()] + + # Extract equations from rules and initial assignments + parameters = [_parse_parameter(param) for param in model.getListOfParameters()] # type: ignore + enzmldoc.equations += [ + _parse_equation(rule, pe.EquationType.INITIAL_ASSIGNMENT) + for rule in model.getListOfInitialAssignments() + ] + + enzmldoc.equations += [ + _parse_equation(rule, pe.EquationType.ODE) + for rule in model.getListOfRules() + if rule.isRate() + ] + + enzmldoc.reactions = [ + _parse_reaction(reaction) for reaction in model.getListOfReactions() + ] + + enzmldoc.measurements = _parse_measurements(model) + + return enzmldoc + + +def _init_and_read_sbml(handler: IO): + """Initialize the SBML reader and read the SBML document.""" + + reader = sbml.SBMLReader() + sbmldoc = reader.readSBMLFromString(handler.read()) + if not sbmldoc: + logger.error("Could not read SBML document") + raise ValueError("Could not read SBML document") + + # Get the model + model = sbmldoc.getModel() + if not model: + logger.error("Could not get model from SBML file") + raise ValueError("Could not get model from SBML file") + + return model + + +def _parse_unit(unit: sbml.UnitDefinition): + """Parse a unit definition from an SBML model into an EnzymeML unit definition.""" + enzml_unit = pe.UnitDefinition( + id=unit.getId(), + name=unit.getName(), + ) + + parse_sbml_rdf_annotation(unit, enzml_unit) + + for base_unit in unit.getListOfUnits(): + multiplier = base_unit.getMultiplier() + kind = sbml.UnitKind_toString(base_unit.getKind()) + + if math.isnan(multiplier): + multiplier = None + + enzml_unit.add_to_base_units( + kind=kind, + exponent=base_unit.getExponent(), + scale=base_unit.getScale(), + multiplier=multiplier, + ) + + return enzml_unit + + +def _parse_species(species: sbml.Species): + """Parse a species from an SBML model into EnzymeML small molecule or protein.""" + sbo_term = species.getSBOTermID() + + if sbo_term == "SBO:0000247": + return _parse_small_molecule(species) + elif sbo_term == "SBO:0000252": + return _parse_protein(species) + elif sbo_term == "SBO:0000296": + return _parse_complex(species) + else: + logger.error( + f"Unknown SBO term for species '{species.getId()}': {sbo_term}. Unable to parse species." + ) + + +def _parse_small_molecule(species: sbml.Species): + """Parse a species from an SBML model into an EnzymeML small molecule.""" + + annots = _parse_enzymeml_annotations("smallMolecule", species.getAnnotationString()) + small_molecule = pe.SmallMolecule( + id=species.getId(), + name=species.getName(), + vessel_id=species.getCompartment(), + constant=species.getConstant(), + **annots, + ) + + parse_sbml_rdf_annotation(species, small_molecule) + + return small_molecule + + +def _parse_protein(species: sbml.Species): + """Parse a species from an SBML model into an EnzymeML small molecule.""" + + annots = _parse_enzymeml_annotations("protein", species.getAnnotationString()) + protein = pe.Protein( + id=species.getId(), + name=species.getName(), + vessel_id=species.getCompartment(), + constant=species.getConstant(), + **annots, + ) + + parse_sbml_rdf_annotation(species, protein) + + return protein + + +def _parse_complex(species: sbml.Species): + """Parse a species from an SBML model into an EnzymeML complex.""" + + annots = _parse_enzymeml_annotations("complex", species.getAnnotationString()) + complex_ = pe.Complex( + id=species.getId(), + name=species.getName(), + **annots, + ) + + parse_sbml_rdf_annotation(species, complex_) + + return complex_ + + +def _parse_vessel(compartment: sbml.Compartment): + """Parse a compartment from an SBML model into an EnzymeML vessel.""" + + vessel = pe.Vessel( + id=compartment.getId(), + name=compartment.getName(), + volume=_check_nan(compartment.getSize()), + unit=units[compartment.getUnits()], # type: ignore + ) + + parse_sbml_rdf_annotation(compartment, vessel) + + return vessel + + +def _parse_parameter(parameter: sbml.Parameter): + """Parse a parameter from an SBML model into an EnzymeML parameter.""" + annots = _parse_enzymeml_annotations("parameter", parameter.getAnnotationString()) + parameter = pe.Parameter( + id=parameter.getId(), + name=parameter.getName(), + symbol=parameter.getId(), + value=_check_nan(parameter.getValue()), + constant=parameter.getConstant(), + unit=units.get(parameter.getUnits()), # type: ignore + **annots, + ) + + return parameter + + +def _parse_equation(rule: sbml.Rule, rule_type: pe.EquationType): + """Parse a rule from an SBML model into an EnzymeML equation.""" + + match rule_type: + case pe.EquationType.INITIAL_ASSIGNMENT: + equation = sbml.formulaToString(rule.getMath()) + species_id = rule.getSymbol() + case pe.EquationType.ODE: + equation = rule.getFormula() + species_id = rule.getVariable() + case pe.EquationType.RATE_LAW: + equation = rule.getMath() + species_id = None + case _: + raise ValueError(f"Unknown rule type: {rule_type}") + + annots = _parse_enzymeml_annotations("variables", rule.getAnnotationString()) + equation = pe.Equation( + equation_type=rule_type, + equation=equation, + species_id=species_id, + parameters=_extract_parameters(equation), + variables=[pe.Variable(**annot) for annot in annots.get("variables", [])], + ) + + return equation + + +def _parse_reaction(reaction: sbml.Reaction): + """Parse a reaction from an SBML model into an EnzymeML reaction.""" + + # Get the reactants and products + products = [_parse_element(product, 1) for product in reaction.getListOfProducts()] + reactants = [ + _parse_element(reactant, -1) for reactant in reaction.getListOfReactants() + ] + + # Get the modifiers + modifiers = [modifier.getSpecies() for modifier in reaction.getListOfModifiers()] + + # Get the kinetic law + kinetic_law = _parse_kinetic_law(reaction) + + # Create the EnzymeML reaction + reaction = pe.Reaction( + id=reaction.getId(), + name=reaction.getName(), + reactants=reactants, + products=products, + modifiers=modifiers, + kinetic_law=kinetic_law, + ) + + return reaction + + +def _parse_element(species, direction: int): + return pe.ReactionElement( + species_id=species.getSpecies(), + stoichiometry=species.getStoichiometry() * direction, + ) + + +def _parse_kinetic_law(reaction): + kinetic_law = reaction.getKineticLaw() + + if not kinetic_law: + return None + + formula = kinetic_law.getFormula() + kinetic_law = pe.Equation( + equation=formula, + equation_type=pe.EquationType.RATE_LAW, + unit=M, # We need to set a default unit here, because SBML does not provide units for kinetic laws + ) + + kinetic_law.parameters = _extract_parameters(formula) + + return kinetic_law + + +def _extract_parameters(equation: str) -> list[pe.Parameter]: + """Extract the parameters from an equation.""" + + params = [] + for param in parameters: + if any( + _contains_param(equation, getattr(param, attr)) + for attr in ["id", "symbol", "name"] + ): + params.append(param) + + return params + + +def _contains_param(formula: str, param: str) -> bool: + return bool(re.search(rf"\b{param}\b", formula)) + + +def _parse_measurements(model: sbml.Model): + # Extract metadata from the model + meas_metadata, file_path = _get_meas_metadata(model) + meas_metadata = _extract_measurement_metadata(meas_metadata) + + # Read the CSV file into measurement objects + # We need to set defaults for the units here, + # but we will overwrite them with the units from the EnzymeML annotations + measurements = pe.read_csv( + tsv_path, + data_unit=M, + time_unit=s, + ) + + for meas_id, metadata in meas_metadata.items(): + _assign_units_and_initials(meas_id, measurements, metadata) + + return measurements + + +def _assign_units_and_initials(meas_id, measurements, metadata): + measurement = [m for m in measurements if m.id == meas_id][0] + conditions = metadata.get("condition", {}) + init_concs = metadata.get("speciesData", []) + measurement.temperature = conditions.get("temperature") + measurement.temperature_unit = conditions.get("temperature_unit") + + for init_conc in init_concs: + species_id = _get_species_id(init_conc) + meas_data = _get_species_data(measurement, species_id) + + meas_data.initial = init_conc.get("initial", 0.0) + meas_data.time_unit = init_conc["time_unit"] + meas_data.data_unit = init_conc["data_unit"] + + +def _get_species_id(init_conc): + species_id = init_conc.get("species_id") + assert species_id, "No species ID found in the EnzymeML data annotation" + return species_id + + +def _get_species_data(measurement, species_id): + try: + return [d for d in measurement.species_data if d.species_id == species_id][0] + except IndexError: + raise ValueError(f"No species data found for species ID {species_id}") + + +def _get_meas_metadata(model): + root = ET.fromstring(model.getAnnotationString()) + data = root.find(f"{{{ENZYMEML_NS}}}data") + meas_metadata = data.findall(f"{{{ENZYMEML_NS}}}measurement") + file_path = data.attrib.get("file") + + assert file_path, "No file path found in the EnzymeML data annotation" + + return meas_metadata, file_path + + +def _extract_measurement_metadata(meas_metadata): + measurements = {} + + for meas_meta in meas_metadata: + meas_id = meas_meta.attrib.get("id") + data = _process_measurement(meas_meta) + measurements[meas_id] = data + + return measurements + + +def _process_measurement(meas_meta): + data = {} + time_unit = units.get(meas_meta.attrib.get("timeUnit")) + + assert ( + time_unit + ), f"Time unit not found for measurement {meas_meta.attrib.get('id')}" + + species_data = _parse_enzymeml_annotations("speciesData", meas_meta).get( + "speciesData", [] + ) + conditions = _parse_enzymeml_annotations("conditions", meas_meta).get( + "conditions", [] + ) + + if conditions: + data["condition"] = _assign_temp_unit(conditions[0]) + if species_data: + data["speciesData"] = _assign_meas_units(species_data, time_unit) + + return data + + +def _assign_temp_unit(conditions): + if temp_unit := conditions.get("temperature_unit"): + conditions["temperature_unit"] = units.get(temp_unit) + + return conditions + + +def _assign_meas_units(species_data, time_unit): + for data in species_data: + data["data_unit"] = units.get(data["data_unit"]) + data["time_unit"] = time_unit + data["data_type"] = pe.DataTypes.__members__.get(data["data_type"]) + + return species_data + + +def _parse_enzymeml_annotations( + root_key: str, annotation: str | ET.Element | None +) -> dict: + """Parse the RDF annotation of an SBML object.""" + + if not annotation: + return {} + + mappings = MAPPINGS[root_key] + + match annotation: + case str(): + root = ET.fromstring(annotation).find(f".//{{{ENZYMEML_NS}}}{root_key}") + case _ if isinstance(annotation, ET.Element): + root = annotation + case _: + raise ValueError(f"Unknown annotation type: {type(annotation)}") + + if not root: + return {} + + return _map_values(mappings, root, root_key) + + +def _map_values(mappings, root, root_key=None): + """Map the values from the XML root to the EnzymeML entities.""" + + data = {} + for xml_key, enzml_key in mappings.items(): + match enzml_key: + case dict(): + if value := _process_nested_keys( + enzml_key=enzml_key, + root=root, + xml_key=xml_key, + ): + data[root_key] = value + + case str(): + if value := _process_simple( + root=root, + xml_key=xml_key, + ): + data[enzml_key] = value + case _: + raise ValueError(f"Unknown value type for key '{enzml_key}'") + + return data + + +def _process_simple( + root: ET.Element, + xml_key: str, +): + if xml_key.startswith("@"): + value = root.attrib.get(xml_key[1:]) + else: + value = root.findall(f"{{{ENZYMEML_NS}}}{xml_key}") + + if len(value) == 1: + value = value[0].text + elif len(value) > 1: + value = [v.text for v in value] + return value + + +def _process_nested_keys( + enzml_key: dict, + root: ET.Element, + xml_key: str, +): + value = root.findall(f".//{{{ENZYMEML_NS}}}{xml_key}") + if len(value) == 1: + value = [_map_values(enzml_key, value[0])] + elif len(value) > 1: + value = [_map_values(enzml_key, v) for v in value] + else: + return None + + return value + + +def _check_nan(value: float): + """Check if a value is NaN.""" + + if math.isnan(value): + return None + + return value From 16f4e89c56197cdda2116925449935db9ca70704 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:04:02 +0200 Subject: [PATCH 024/172] adjust serializer to model change --- pyenzyme/sbml/serializer.py | 194 +++++++++++++++++++++++++----------- 1 file changed, 136 insertions(+), 58 deletions(-) diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index 55887126..a2c87e2c 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -1,20 +1,23 @@ +from __future__ import annotations + +import xml.etree.ElementTree as ET from pathlib import Path +from typing import Callable, List + import libsbml -from loguru import logger import pandas as pd -import xml.etree.ElementTree as ET -from typing import Callable +from loguru import logger from pydantic import BaseModel import pyenzyme.model as pe -from pyenzyme.sbml.validation import validate_sbml_export -from pyenzyme.tabular import to_pandas import pyenzyme.tools as tools - -from pyenzyme import xmlutils as _xml from pyenzyme import rdf -from pyenzyme.units.units import UnitDefinition +from pyenzyme import xmlutils as _xml from pyenzyme.logging import add_logger +from pyenzyme.sbml import create_sbml_omex +from pyenzyme.sbml.validation import validate_sbml_export +from pyenzyme.tabular import to_pandas +from pyenzyme.units.units import UnitDefinition MAPPINGS = tools.read_static_file("pyenzyme.sbml", "mappings.toml") NSMAP = {"enzymeml": "https://www.enzymeml.org/v2"} @@ -41,6 +44,7 @@ def to_sbml( Args: enzmldoc (pe.EnzymeMLDocument): The EnzymeML document to convert. out (Path | str | None, optional): The output file to write the SBML document to. Defaults to None. + verbose (bool, optional): Whether to print warnings during SBML validation. Defaults to False. Returns: tuple[str, pd.DataFrame] | None: The SBML document as a string and a DataFrame with the RDF triples. @@ -59,20 +63,22 @@ def to_sbml( global model global doc - doc = enzmldoc.copy() + doc = enzmldoc sbmldoc = libsbml.SBMLDocument() model = sbmldoc.createModel() - units = tools.find_unique(enzmldoc, pe.UnitDefinition) + model.setName(doc.name) + units = _assign_ids_to_units(tools.find_unique(doc, UnitDefinition)) + print_warnings = verbose _xml.register_namespaces(nsmap=NSMAP) # Add entities - [_add_unit_definitions(unit, i) for i, unit in enumerate(units)] + [_add_unit_definitions(unit) for unit in units] [_add_vessel(vessel) for vessel in doc.vessels] [_add_protein(protein) for protein in doc.proteins] + [_add_complex(complex_) for complex_ in doc.complexes] [_add_small_mol(small_mol) for small_mol in doc.small_molecules] - [_add_parameter(param) for param in doc.parameters] [_add_equation(equation) for equation in doc.equations] [_add_reaction(reaction, i) for i, reaction in enumerate(doc.reactions)] @@ -86,26 +92,27 @@ def to_sbml( out = Path(out) if out.is_dir(): - out = out / "enzymeml_doc.xml" + out = out / "enzymeml_doc.omex" else: - out = out.with_suffix(".xml") + out = out.with_suffix(".omex") _validate_sbml(sbmldoc) + create_sbml_omex( + sbml_doc=libsbml.writeSBMLToString(sbmldoc), + data=to_pandas(doc), + out=out, + ) - libsbml.writeSBML(sbmldoc, str(out)) - - if doc.measurements: - to_pandas(doc).to_csv(out.with_name("data.tsv"), sep="\t", index=False) - - logger.info(f"SBML document written to {out}") + logger.info(f"OMEX archive written to {out}") -def _add_unit_definitions(unit: UnitDefinition, index: int): +def _add_unit_definitions(unit: UnitDefinition): """Add unit definitions to the SBML model.""" sbml_unitdef = model.createUnitDefinition() + + sbml_unitdef.setId(unit.id) sbml_unitdef.setName(unit.name) - sbml_unitdef.setId(f"u{index}") sbml_unitdef.setAnnotation(rdf.to_rdf_xml(unit)) for base_unit in unit.base_units: @@ -130,7 +137,7 @@ def _add_vessel(vessel: pe.Vessel): compartment.setAnnotation(rdf.to_rdf_xml(vessel)) if vessel.unit in units: - compartment.setUnits(_get_unit(vessel.unit, units)) + compartment.setUnits(_get_unit_id(vessel.unit)) else: raise ValueError(f"Unit {vessel.unit} not found in units") @@ -143,6 +150,7 @@ def _add_small_mol(small_mol: pe.SmallMolecule): species.setName(small_mol.name) species.setCompartment(small_mol.vessel_id) species.setConstant(small_mol.constant) + species.setSBOTerm("SBO:0000247") # Simple chemical species.appendAnnotation(rdf.to_rdf_xml(small_mol)) init_conc = _get_first_meas_init_conc(small_mol) @@ -151,9 +159,8 @@ def _add_small_mol(small_mol: pe.SmallMolecule): species.setInitialConcentration(init_conc) species.setHasOnlySubstanceUnits(False) - root = ET.Element("enzymeml") annot = _xml.serialize_to_pretty_xml_string( - _extract_create_annot("smallMolecule", small_mol, root) + _extract_create_annot("smallMolecule", small_mol) ) if annot is not None: @@ -168,6 +175,7 @@ def _add_protein(protein: pe.Protein): species.setName(protein.name) species.setConstant(protein.constant) species.setCompartment(protein.vessel_id) + species.setSBOTerm("SBO:0000252") # Protein species.appendAnnotation(rdf.to_rdf_xml(protein)) init_conc = _get_first_meas_init_conc(protein) @@ -184,6 +192,24 @@ def _add_protein(protein: pe.Protein): species.appendAnnotation(annot) +def _add_complex(complex_: pe.Complex): + """Add complexes to the SBML model.""" + + species = model.createSpecies() + species.setId(complex_.id) + species.setName(complex_.name) + species.setConstant(True) + species.setSBOTerm("SBO:0000296") # Complex + species.appendAnnotation(rdf.to_rdf_xml(complex_)) + + annot = _xml.serialize_to_pretty_xml_string( + _extract_create_annot("complex", complex_) + ) + + if annot is not None: + species.appendAnnotation(annot) + + def _get_first_meas_init_conc(species: pe.SmallMolecule | pe.Protein): """Extracts the initial concentration of a species from the first measurement @@ -196,10 +222,10 @@ def _get_first_meas_init_conc(species: pe.SmallMolecule | pe.Protein): return None measurement = doc.measurements[0] - meas_species = measurement.filter_species(species_id=species.id) + meas_species = measurement.filter_species_data(species_id=species.id) if meas_species: - return meas_species[0].init_conc + return meas_species[0].initial else: return None @@ -209,7 +235,7 @@ def _add_reaction(reaction: pe.Reaction, index: int): sbml_reaction = model.createReaction() sbml_reaction.setName(reaction.name) - sbml_reaction.setId(f"r{index}") + sbml_reaction.setId(reaction.id) sbml_reaction.setReversible(reaction.reversible) for species in reaction.species: @@ -239,8 +265,15 @@ def _add_rate_law(equation: pe.Equation, reac: libsbml.Reaction): law.setMath(libsbml.parseL3Formula(equation.equation)) for parameter in equation.parameters: - param = law.createParameter() - param.setId(parameter.id) + if not model.getParameter(parameter.id): + _add_parameter(pe.Parameter(**parameter.model_dump())) + + if annot := _create_equation_annot(equation): + law.setAnnotation(_xml.serialize_to_pretty_xml_string(annot)) + + +def _create_equation_annot(equation: pe.Equation) -> ET.Element | None: + return _extract_create_annot("variables", equation.variables) def _get_create_fun( @@ -269,7 +302,7 @@ def _add_parameter(parameter: pe.Parameter): if parameter.value: sbml_param.setValue(parameter.value) if parameter.unit: - sbml_param.setUnits(_get_unit(parameter.unit, units)) + sbml_param.setUnits(_get_unit_id(parameter.unit)) annot = _xml.serialize_to_pretty_xml_string( _extract_create_annot("parameter", parameter) @@ -283,33 +316,37 @@ def _add_equation(equation: pe.Equation): """Add equations to the SBML model.""" if equation.equation_type == pe.EquationType.ODE: - sbml_rule = model.createRateRule() + sbml_rule = model.createRateRule() # type: ignore sbml_rule.setVariable(equation.species_id) - sbml_rule.setUnits(_get_unit(equation.unit, units)) elif equation.equation_type == pe.EquationType.ASSIGNMENT: - sbml_rule = model.createAssignmentRule() + sbml_rule = model.createAssignmentRule() # type: ignore sbml_rule.setVariable(equation.species_id) - sbml_rule.setUnits(_get_unit(equation.unit, units)) elif equation.equation_type == pe.EquationType.INITIAL_ASSIGNMENT: - sbml_rule = model.createInitialAssignment() + sbml_rule = model.createInitialAssignment() # type: ignore sbml_rule.setSymbol(equation.species_id) else: raise ValueError(f"Equation type {equation.equation_type} not supported") sbml_rule.setMath(libsbml.parseL3Formula(equation.equation)) + for parameter in equation.parameters: + if not model.getParameter(parameter.id): # type: ignore + _add_parameter(parameter) + + if annot := _create_equation_annot(equation): + sbml_rule.setAnnotation(_xml.serialize_to_pretty_xml_string(annot)) + def _add_measurements(measurements: list[pe.Measurement]): """Adds measurements to the SBML model.""" annotation = ET.Element(f"{{{NSMAP['enzymeml']}}}data") - annotation.attrib["file"] = "data.csv" + annotation.attrib["file"] = "data.tsv" for measurement in measurements: meas_element = _extract_create_annot("measurement", measurement) - meas_element.attrib["timeUnit"] = _get_unit( # type: ignore - measurement.species[0].time_unit, - units, + meas_element.attrib["timeUnit"] = _get_unit_id( # type: ignore + measurement.species_data[0].time_unit ) assert meas_element is not None, "Measurement element is None" @@ -317,14 +354,14 @@ def _add_measurements(measurements: list[pe.Measurement]): conditions = _create_condition_element( ph=measurement.ph, temperature=measurement.temperature, - temperature_unit=measurement.temperature_unit, # type: ignore + temperature_unit=_get_unit_id(measurement.temperature_unit), # type: ignore ) if conditions: meas_element.append(conditions) - for species in measurement.species: - _extract_create_annot("initConc", species, meas_element) + for species in measurement.species_data: + _extract_create_annot("speciesData", species, meas_element) annotation.append(meas_element) @@ -358,7 +395,7 @@ def _create_condition_element( def _extract_create_annot( name: str, - obj: BaseModel, + obj: BaseModel | list[BaseModel], element: ET.Element | None = None, ) -> ET.Element | None: """Extracts the data from the object and creates an annotation element. @@ -374,16 +411,30 @@ def _extract_create_annot( Returns: ET.Element: The annotation element. """ - mappings = _extract(obj, MAPPINGS[name]) - if element is None: element = ET.Element(f"{{{NSMAP['enzymeml']}}}{name}") - _xml.map_to_xml( - root=element, - mappings=mappings, - namespace=NSMAP["enzymeml"], - ) + if isinstance(obj, list): + mappings = [ + _extract(item, MAPPINGS[name]) + for item in obj + if item.dict(exclude_unset=True) + ] + + for mapping in mappings: + _xml.map_to_xml( + root=element, + mappings=mapping, + namespace=NSMAP["enzymeml"], + ) + else: + mappings = _extract(obj, MAPPINGS[name]) + + _xml.map_to_xml( + root=element, + mappings=mappings, + namespace=NSMAP["enzymeml"], + ) if len(element) == 0 and not element.attrib: return None @@ -409,7 +460,13 @@ def _extract(obj: BaseModel, mapping: dict) -> dict: data[trgt_key] = _extract(obj, enzml_key) elif "unit" in enzml_key: value = getattr(obj, enzml_key) - data[trgt_key] = _get_unit(value, units) + data[trgt_key] = _get_unit_id(value) + elif isinstance(getattr(obj, enzml_key), list) and all( + isinstance(item, BaseModel) for item in getattr(obj, enzml_key) + ): + data[trgt_key] = [ + _extract(item, MAPPINGS[enzml_key]) for item in getattr(obj, enzml_key) + ] else: data[trgt_key] = getattr(obj, enzml_key) @@ -423,14 +480,13 @@ def _get_sbml_kind(unit_type: pe.UnitType): raise ValueError(f"Unit type {unit_type} not found in libsbml") -def _get_unit(unit: pe.UnitDefinition, units: list[pe.UnitDefinition]) -> str | None: +def _get_unit_id(unit: pe.UnitDefinition) -> str: """Helper function to get the unit from the list of units.""" - try: - index = units.index(unit) - except ValueError: - return None - return f"u{index}" + if unit.id is None: + raise ValueError(f"Unit {unit.name} does not have an ID") + + return unit.id def _validate_sbml(sbmldoc: libsbml.SBMLDocument) -> None: @@ -458,3 +514,25 @@ def _validate_sbml(sbmldoc: libsbml.SBMLDocument) -> None: if not valid: raise ValueError("SBML model is not valid") + + +def _assign_ids_to_units(doc_units: List[UnitDefinition]) -> List[UnitDefinition]: + ids = [unit.id for unit in doc_units if unit.id] + + for unit in doc_units: + if unit.id is None: + new_id = next(_id_generator(ids)) + unit.id = new_id + + return doc_units + + +def _id_generator(ids: list[str]): + """Generator for creating unique IDs that are not in unit_ids.""" + i = 0 + while True: + potential_id = f"u{i}" + if potential_id not in ids: + ids.append(potential_id) + yield potential_id + i += 1 From 81dde6d8233e5b7655ea181eeadab425240aa911 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:04:19 +0200 Subject: [PATCH 025/172] adjust and extend mappings to model changes --- pyenzyme/sbml/mappings.toml | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/pyenzyme/sbml/mappings.toml b/pyenzyme/sbml/mappings.toml index 771a68bd..73f0fc14 100644 --- a/pyenzyme/sbml/mappings.toml +++ b/pyenzyme/sbml/mappings.toml @@ -10,6 +10,9 @@ organism = "organism" organismTaxId = "organism_tax_id" sequence = "sequence" +[complex] +participants = "participants" + [conditions] ph = { "@value" = "ph" } @@ -26,6 +29,10 @@ stdDeviation = "stderr" "@id" = "id" "@name" = "name" -[initConc] +[speciesData] + +speciesData = { "@species" = "species_id", "@value" = "initial", "@unit" = "data_unit", "@type" = "data_type" } + +[variables] -initConc = { "@species" = "species_id", "@value" = "init_conc", "@unit" = "data_unit" } +variable = { "@id" = "id", "@name" = "name", "@symbol" = "symbol" } From 6b290534c176f2b926c2437dcb18bb3ac28b541e Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:04:39 +0200 Subject: [PATCH 026/172] format strings in multiple lines --- pyenzyme/sbml/validation.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/pyenzyme/sbml/validation.py b/pyenzyme/sbml/validation.py index c98dbc09..d3b83612 100644 --- a/pyenzyme/sbml/validation.py +++ b/pyenzyme/sbml/validation.py @@ -9,7 +9,6 @@ def validate_sbml_export(doc: pe.EnzymeMLDocument) -> bool: Args: doc (pe.EnzymeMLDocument): The EnzymeML document to validate. - channel (str, optional): The channel to log to. Defaults to sys.stderr. Returns: bool: True if the document is valid, False otherwise. @@ -31,7 +30,7 @@ def _check_consistent_vessel_ids(doc: pe.EnzymeMLDocument) -> bool: """This validator checks whether all species have a vessel id that exists in the document. SBML documents require that all species have a vessel id that exists in the document and - this validator checks for that. Otherwise an error message will be logged and the validity + this validator checks for that. Otherwise, an error message will be logged and the validity set to False. """ @@ -47,7 +46,8 @@ def _check_consistent_vessel_ids(doc: pe.EnzymeMLDocument) -> bool: result.append(False) elif species.vessel_id not in vessel_ids: logger.error( - f"Species '{species.id}' of type '{type(species).__name__}' has a vessel id that does not exist in the document." + f"Species '{species.id}' of type '{type(species).__name__}' has a vessel id that does not exist in " + f"the document." ) result.append(False) else: @@ -75,7 +75,8 @@ def _check_equation_either_rule_or_reaction(doc: pe.EnzymeMLDocument) -> bool: for element in all_reaction_elements: if element.species_id in species_w_rate and element.species_id not in validated: logger.error( - f"Species '{element.species_id}' is part of a reaction and has a rate equation. This is not allowed in SBML." + f"Species '{element.species_id}' is part of a reaction and has a rate equation. This is not allowed " + f"in SBML." ) validated.add(element.species_id) result.append(False) @@ -90,7 +91,6 @@ def _check_units_exist(doc: pe.EnzymeMLDocument): mandatory_unit_objects = [ *tools.extract(obj=doc, target=pe.MeasurementData), - *tools.extract(obj=doc, target=pe.Equation), ] optional_unit_objects = [ @@ -149,7 +149,8 @@ def _check_assigned_params_are_not_constant(doc: pe.EnzymeMLDocument): if params[0].constant: params[0].constant = False logger.warning( - f"Parameter '{params[0].id}' has an assignment rule, but is set to constant. The parameter is now set to non-constant." + f"Parameter '{params[0].id}' has an assignment rule, but is set to constant. The parameter is now set " + f"to non-constant." ) result.append(True) From 7be7ace3cf4dcabeb72c1f14f0a9a301818a7ac4 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:04:46 +0200 Subject: [PATCH 027/172] model update --- pyenzyme/model.py | 1010 ++++++++++++++++++++++----------------------- 1 file changed, 493 insertions(+), 517 deletions(-) diff --git a/pyenzyme/model.py b/pyenzyme/model.py index b1205c89..a8280e61 100644 --- a/pyenzyme/model.py +++ b/pyenzyme/model.py @@ -1,18 +1,16 @@ ## This is a generated file. Do not modify it manually! from __future__ import annotations - +from pydantic import BaseModel, Field, ConfigDict +from typing import Optional, Generic, TypeVar from enum import Enum -from typing import Generic, Optional, TypeVar from uuid import uuid4 - -from pydantic import BaseModel, ConfigDict, Field +from datetime import date, datetime # Filter Wrapper definition used to filter a list of objects # based on their attributes Cls = TypeVar("Cls") - class FilterWrapper(Generic[Cls]): """Wrapper class to filter a list of objects based on their attributes""" @@ -49,8 +47,7 @@ def add_namespace(obj, prefix: str | None, iri: str | None): elif iri and prefix is None: raise ValueError("If iri is provided, prefix must also be provided") - obj.ld_context[prefix] = iri # type: ignore - + obj.ld_context[prefix] = iri # type: ignore def validate_prefix(term: str | dict, prefix: str): """Validates that a term is prefixed with a given prefix @@ -68,14 +65,13 @@ def validate_prefix(term: str | dict, prefix: str): elif isinstance(term, str) and not term.startswith(prefix + ":"): raise ValueError(f"Term {term} is not prefixed with {prefix}") - # Model Definitions - class EnzymeMLDocument(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore name: str references: list[str] = Field(default_factory=list) @@ -89,22 +85,21 @@ class EnzymeMLDocument(BaseModel): reactions: list[Reaction] = Field(default_factory=list) measurements: list[Measurement] = Field(default_factory=list) equations: list[Equation] = Field(default_factory=list) - parameters: list[Parameter] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()), + default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:EnzymeMLDocument", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", @@ -116,7 +111,7 @@ class EnzymeMLDocument(BaseModel): "created": "schema:dateCreated", "modified": "schema:dateModified", "creators": "schema:creator", - }, + } ) def filter_creators(self, **kwargs) -> list[Creator]: @@ -215,24 +210,13 @@ def filter_equations(self, **kwargs) -> list[Equation]: return FilterWrapper[Equation](self.equations, **kwargs).filter() - def filter_parameters(self, **kwargs) -> list[Parameter]: - """Filters the parameters attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[Parameter]: The filtered list of Parameter objects - """ - - return FilterWrapper[Parameter](self.parameters, **kwargs).filter() def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -254,9 +238,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -265,7 +247,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -292,6 +277,7 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) + def add_to_creators( self, given_name: str, @@ -299,22 +285,29 @@ def add_to_creators( mail: str, **kwargs, ): - params = {"given_name": given_name, "family_name": family_name, "mail": mail} + params = { + "given_name": given_name, + "family_name": family_name, + "mail": mail + } if "id" in kwargs: params["id"] = kwargs["id"] - self.creators.append(Creator(**params)) + self.creators.append( + Creator(**params) + ) return self.creators[-1] + def add_to_vessels( self, id: str, name: str, volume: float, unit: UnitDefinition, - constant: bool = True, + constant: bool= True, **kwargs, ): params = { @@ -322,27 +315,30 @@ def add_to_vessels( "name": name, "volume": volume, "unit": unit, - "constant": constant, + "constant": constant } if "id" in kwargs: params["id"] = kwargs["id"] - self.vessels.append(Vessel(**params)) + self.vessels.append( + Vessel(**params) + ) return self.vessels[-1] + def add_to_proteins( self, id: str, name: str, - constant: bool = False, - sequence: Optional[str] = None, - vessel_id: Optional[str] = None, - ecnumber: Optional[str] = None, - organism: Optional[str] = None, - organism_tax_id: Optional[str] = None, - references: list[str] = [], + constant: bool= False, + sequence: Optional[str]= None, + vessel_id: Optional[str]= None, + ecnumber: Optional[str]= None, + organism: Optional[str]= None, + organism_tax_id: Optional[str]= None, + references: list[str]= [], **kwargs, ): params = { @@ -354,40 +350,54 @@ def add_to_proteins( "ecnumber": ecnumber, "organism": organism, "organism_tax_id": organism_tax_id, - "references": references, + "references": references } if "id" in kwargs: params["id"] = kwargs["id"] - self.proteins.append(Protein(**params)) + self.proteins.append( + Protein(**params) + ) return self.proteins[-1] + def add_to_complexes( self, id: str, - participants: list[str] = [], + name: str, + constant: bool= False, + participants: list[str]= [], **kwargs, ): - params = {"id": id, "participants": participants} + params = { + "id": id, + "name": name, + "constant": constant, + "participants": participants + } if "id" in kwargs: params["id"] = kwargs["id"] - self.complexes.append(Complex(**params)) + self.complexes.append( + Complex(**params) + ) return self.complexes[-1] + def add_to_small_molecules( self, id: str, name: str, - constant: bool = False, - vessel_id: Optional[str] = None, - canonical_smiles: Optional[str] = None, - inchikey: Optional[str] = None, - references: list[str] = [], + constant: bool= False, + vessel_id: Optional[str]= None, + canonical_smiles: Optional[str]= None, + inchi: Optional[str]= None, + inchikey: Optional[str]= None, + references: list[str]= [], **kwargs, ): params = { @@ -396,25 +406,29 @@ def add_to_small_molecules( "constant": constant, "vessel_id": vessel_id, "canonical_smiles": canonical_smiles, + "inchi": inchi, "inchikey": inchikey, - "references": references, + "references": references } if "id" in kwargs: params["id"] = kwargs["id"] - self.small_molecules.append(SmallMolecule(**params)) + self.small_molecules.append( + SmallMolecule(**params) + ) return self.small_molecules[-1] + def add_to_reactions( self, id: str, name: str, - reversible: bool = False, - kinetic_law: Optional[Equation] = None, - species: list[ReactionElement] = [], - modifiers: list[str] = [], + reversible: bool= False, + kinetic_law: Optional[Equation]= None, + species: list[ReactionElement]= [], + modifiers: list[str]= [], **kwargs, ): params = { @@ -423,107 +437,81 @@ def add_to_reactions( "reversible": reversible, "kinetic_law": kinetic_law, "species": species, - "modifiers": modifiers, + "modifiers": modifiers } if "id" in kwargs: params["id"] = kwargs["id"] - self.reactions.append(Reaction(**params)) + self.reactions.append( + Reaction(**params) + ) return self.reactions[-1] + def add_to_measurements( self, id: str, name: str, - species: list[MeasurementData] = [], - group_id: Optional[str] = None, - ph: Optional[float] = None, - temperature: Optional[float] = None, - temperature_unit: Optional[UnitDefinition] = None, + species_data: list[MeasurementData]= [], + group_id: Optional[str]= None, + ph: Optional[float]= None, + temperature: Optional[float]= None, + temperature_unit: Optional[UnitDefinition]= None, **kwargs, ): params = { "id": id, "name": name, - "species": species, + "species_data": species_data, "group_id": group_id, "ph": ph, "temperature": temperature, - "temperature_unit": temperature_unit, + "temperature_unit": temperature_unit } if "id" in kwargs: params["id"] = kwargs["id"] - self.measurements.append(Measurement(**params)) + self.measurements.append( + Measurement(**params) + ) return self.measurements[-1] + def add_to_equations( self, - unit: UnitDefinition, - equation_type: EquationType, equation: str, - species_id: Optional[str] = None, - variables: list[EqVariable] = [], - parameters: list[EqParameter] = [], + equation_type: EquationType, + species_id: Optional[str]= None, + variables: list[Variable]= [], + parameters: list[Parameter]= [], **kwargs, ): params = { - "unit": unit, - "equation_type": equation_type, "equation": equation, + "equation_type": equation_type, "species_id": species_id, "variables": variables, - "parameters": parameters, + "parameters": parameters } if "id" in kwargs: params["id"] = kwargs["id"] - self.equations.append(Equation(**params)) + self.equations.append( + Equation(**params) + ) return self.equations[-1] - def add_to_parameters( - self, - id: str, - name: str, - value: Optional[float] = None, - unit: Optional[UnitDefinition] = None, - initial_value: Optional[float] = None, - upper: Optional[float] = None, - lower: Optional[float] = None, - stderr: Optional[float] = None, - constant: Optional[bool] = True, - **kwargs, - ): - params = { - "id": id, - "name": name, - "value": value, - "unit": unit, - "initial_value": initial_value, - "upper": upper, - "lower": lower, - "stderr": stderr, - "constant": constant, - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.parameters.append(Parameter(**params)) - - return self.parameters[-1] - - class Creator(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore given_name: str family_name: str @@ -532,30 +520,33 @@ class Creator(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Creator/" + str(uuid4()), + default_factory=lambda: "enzml:Creator/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["enzml:Creator", "schema:person"], + default_factory = lambda: [ + "enzml:Creator","schema:person" + ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", "given_name": "schema:givenName", "family_name": "schema:familyName", "mail": "schema:email", - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -577,9 +568,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -588,7 +577,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -617,9 +609,10 @@ def add_type_term( class Vessel(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str @@ -630,15 +623,17 @@ class Vessel(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Vessel/" + str(uuid4()), + default_factory=lambda: "enzml:Vessel/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["enzml:Vessel", "OBO:OBI_0400081"], + default_factory = lambda: [ + "enzml:Vessel","OBO:OBI_0400081" + ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", @@ -648,15 +643,16 @@ class Vessel(BaseModel): }, "name": "schema:name", "volume": "OBO:OBI_0002139", - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -678,9 +674,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -689,7 +683,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -718,9 +715,10 @@ def add_type_term( class Protein(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str @@ -735,15 +733,17 @@ class Protein(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Protein/" + str(uuid4()), + default_factory=lambda: "enzml:Protein/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["enzml:Protein", "schema:Protein"], + default_factory = lambda: [ + "enzml:Protein","schema:Protein" + ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", @@ -764,15 +764,16 @@ class Protein(BaseModel): "@id": "schema:citation", "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -794,9 +795,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -805,7 +804,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -834,27 +836,30 @@ def add_type_term( class Complex(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str + name: str + constant: bool = False participants: list[str] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Complex/" + str(uuid4()), + default_factory=lambda: "enzml:Complex/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Complex", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", @@ -862,18 +867,20 @@ class Complex(BaseModel): "@id": "schema:identifier", "@type": "@id", }, + "name": "schema:name", "participants": { "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -895,9 +902,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -906,7 +911,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -935,32 +943,34 @@ def add_type_term( class SmallMolecule(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str constant: bool = False vessel_id: Optional[str] = Field(default=None) canonical_smiles: Optional[str] = Field(default=None) + inchi: Optional[str] = Field(default=None) inchikey: Optional[str] = Field(default=None) references: list[str] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()), + default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:SmallMolecule", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", @@ -977,15 +987,16 @@ class SmallMolecule(BaseModel): "@id": "schema:citation", "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1007,9 +1018,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1018,7 +1027,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1047,9 +1059,10 @@ def add_type_term( class Reaction(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str @@ -1061,17 +1074,17 @@ class Reaction(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Reaction/" + str(uuid4()), + default_factory=lambda: "enzml:Reaction/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Reaction", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", @@ -1082,7 +1095,7 @@ class Reaction(BaseModel): "modifiers": { "@type": "@id", }, - }, + } ) def filter_species(self, **kwargs) -> list[ReactionElement]: @@ -1097,12 +1110,13 @@ def filter_species(self, **kwargs) -> list[ReactionElement]: return FilterWrapper[ReactionElement](self.species, **kwargs).filter() + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1124,9 +1138,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1135,7 +1147,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1162,26 +1177,33 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) + def add_to_species( self, species_id: str, stoichiometry: float, **kwargs, ): - params = {"species_id": species_id, "stoichiometry": stoichiometry} + params = { + "species_id": species_id, + "stoichiometry": stoichiometry + } if "id" in kwargs: params["id"] = kwargs["id"] - self.species.append(ReactionElement(**params)) + self.species.append( + ReactionElement(**params) + ) return self.species[-1] class ReactionElement(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore species_id: str stoichiometry: float @@ -1189,32 +1211,33 @@ class ReactionElement(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()), + default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:ReactionElement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1236,9 +1259,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1247,7 +1268,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1276,70 +1300,71 @@ def add_type_term( class Equation(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore - unit: UnitDefinition - equation_type: EquationType + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + equation: str + equation_type: EquationType species_id: Optional[str] = Field(default=None) - variables: list[EqVariable] = Field(default_factory=list) - parameters: list[EqParameter] = Field(default_factory=list) + variables: list[Variable] = Field(default_factory=list) + parameters: list[Parameter] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Equation/" + str(uuid4()), + default_factory=lambda: "enzml:Equation/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Equation", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id", }, - }, + } ) - def filter_variables(self, **kwargs) -> list[EqVariable]: + def filter_variables(self, **kwargs) -> list[Variable]: """Filters the variables attribute based on the given kwargs Args: **kwargs: The attributes to filter by. Returns: - list[EqVariable]: The filtered list of EqVariable objects + list[Variable]: The filtered list of Variable objects """ - return FilterWrapper[EqVariable](self.variables, **kwargs).filter() + return FilterWrapper[Variable](self.variables, **kwargs).filter() - def filter_parameters(self, **kwargs) -> list[EqParameter]: + def filter_parameters(self, **kwargs) -> list[Parameter]: """Filters the parameters attribute based on the given kwargs Args: **kwargs: The attributes to filter by. Returns: - list[EqParameter]: The filtered list of EqParameter objects + list[Parameter]: The filtered list of Parameter objects """ - return FilterWrapper[EqParameter](self.parameters, **kwargs).filter() + return FilterWrapper[Parameter](self.parameters, **kwargs).filter() + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1361,9 +1386,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1372,7 +1395,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1399,85 +1425,104 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) + def add_to_variables( self, id: str, name: str, - symbol: Optional[str] = None, + symbol: str, **kwargs, ): - params = {"id": id, "name": name, "symbol": symbol} + params = { + "id": id, + "name": name, + "symbol": symbol + } if "id" in kwargs: params["id"] = kwargs["id"] - self.variables.append(EqVariable(**params)) + self.variables.append( + Variable(**params) + ) return self.variables[-1] + def add_to_parameters( self, id: str, name: str, - symbol: Optional[str] = None, - value: Optional[float] = None, + symbol: str, + value: Optional[float]= None, + unit: Optional[UnitDefinition]= None, + initial_value: Optional[float]= None, + upper: Optional[float]= None, + lower: Optional[float]= None, + stderr: Optional[float]= None, + constant: Optional[bool]= True, **kwargs, ): - params = {"id": id, "name": name, "symbol": symbol, "value": value} + params = { + "id": id, + "name": name, + "symbol": symbol, + "value": value, + "unit": unit, + "initial_value": initial_value, + "upper": upper, + "lower": lower, + "stderr": stderr, + "constant": constant + } if "id" in kwargs: params["id"] = kwargs["id"] - self.parameters.append(EqParameter(**params)) + self.parameters.append( + Parameter(**params) + ) return self.parameters[-1] +class Variable(BaseModel): -class Parameter(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str - value: Optional[float] = Field(default=None) - unit: Optional[UnitDefinition] = Field(default=None) - initial_value: Optional[float] = Field(default=None) - upper: Optional[float] = Field(default=None) - lower: Optional[float] = Field(default=None) - stderr: Optional[float] = Field(default=None) - constant: bool = True + symbol: str # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Parameter/" + str(uuid4()), + default_factory=lambda: "enzml:Variable/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ - "enzml:Parameter", + default_factory = lambda: [ + "enzml:Variable", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@id": "schema:identifier", - "@type": "@id", - }, - }, + "id": "schema:identifier", + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1499,9 +1544,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1510,7 +1553,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1538,33 +1584,37 @@ def add_type_term( self.ld_type.append(term) -class Measurement(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore +class Parameter(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str - species: list[MeasurementData] = Field(default_factory=list) - group_id: Optional[str] = Field(default=None) - ph: Optional[float] = Field(default=None) - temperature: Optional[float] = Field(default=None) - temperature_unit: Optional[UnitDefinition] = Field(default=None) + symbol: str + value: Optional[float] = Field(default=None) + unit: Optional[UnitDefinition] = Field(default=None) + initial_value: Optional[float] = Field(default=None) + upper: Optional[float] = Field(default=None) + lower: Optional[float] = Field(default=None) + stderr: Optional[float] = Field(default=None) + constant: bool = True # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Measurement/" + str(uuid4()), + default_factory=lambda: "enzml:Parameter/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ - "enzml:Measurement", + default_factory = lambda: [ + "enzml:Parameter", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", @@ -1572,30 +1622,16 @@ class Measurement(BaseModel): "@id": "schema:identifier", "@type": "@id", }, - "group_id": { - "@type": "@id", - }, - }, + } ) - def filter_species(self, **kwargs) -> list[MeasurementData]: - """Filters the species attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[MeasurementData]: The filtered list of MeasurementData objects - """ - - return FilterWrapper[MeasurementData](self.species, **kwargs).filter() def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1617,9 +1653,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1628,7 +1662,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1655,187 +1692,67 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_species( - self, - species_id: str, - init_conc: float, - data_type: DataTypes, - data_unit: UnitDefinition, - time_unit: UnitDefinition, - time: list[float] = [], - data: list[float] = [], - is_calculated: bool = False, - **kwargs, - ): - params = { - "species_id": species_id, - "init_conc": init_conc, - "data_type": data_type, - "data_unit": data_unit, - "time_unit": time_unit, - "time": time, - "data": data, - "is_calculated": is_calculated, - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.species.append(MeasurementData(**params)) - - return self.species[-1] +class Measurement(BaseModel): -class MeasurementData(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore - species_id: str - init_conc: float - data_type: DataTypes - data_unit: UnitDefinition - time_unit: UnitDefinition - time: list[float] = Field(default_factory=list) - data: list[float] = Field(default_factory=list) - is_calculated: bool = False + id: str + name: str + species_data: list[MeasurementData] = Field(default_factory=list) + group_id: Optional[str] = Field(default=None) + ph: Optional[float] = Field(default=None) + temperature: Optional[float] = Field(default=None) + temperature_unit: Optional[UnitDefinition] = Field(default=None) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()), + default_factory=lambda: "enzml:Measurement/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ - "enzml:MeasurementData", + default_factory = lambda: [ + "enzml:Measurement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", - "species_id": { + "id": { + "@id": "schema:identifier", "@type": "@id", }, - }, - ) - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None, - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - -class UnitDefinition(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore - - id: Optional[str] = Field(default=None) - name: Optional[str] = Field(default=None) - base_units: list[BaseUnit] = Field(default_factory=list) - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:UnitDefinition/" + str(uuid4()), - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory=lambda: [ - "enzml:UnitDefinition", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory=lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - }, + "group_id": { + "@type": "@id", + }, + } ) - def filter_base_units(self, **kwargs) -> list[BaseUnit]: - """Filters the base_units attribute based on the given kwargs + def filter_species_data(self, **kwargs) -> list[MeasurementData]: + """Filters the species_data attribute based on the given kwargs Args: **kwargs: The attributes to filter by. Returns: - list[BaseUnit]: The filtered list of BaseUnit objects + list[MeasurementData]: The filtered list of MeasurementData objects """ - return FilterWrapper[BaseUnit](self.base_units, **kwargs).filter() + return FilterWrapper[MeasurementData](self.species_data, **kwargs).filter() + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1857,9 +1774,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1868,7 +1783,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1895,65 +1813,88 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_base_units( + + def add_to_species_data( self, - kind: UnitType, - exponent: int, - multiplier: Optional[float] = None, - scale: Optional[float] = None, + species_id: str, + initial: float, + data_unit: UnitDefinition, + time_unit: UnitDefinition, + data_type: DataTypes, + prepared: Optional[float]= None, + data: list[float]= [], + time: list[float]= [], + is_simulated: bool= False, **kwargs, ): params = { - "kind": kind, - "exponent": exponent, - "multiplier": multiplier, - "scale": scale, + "species_id": species_id, + "initial": initial, + "data_unit": data_unit, + "time_unit": time_unit, + "data_type": data_type, + "prepared": prepared, + "data": data, + "time": time, + "is_simulated": is_simulated } if "id" in kwargs: params["id"] = kwargs["id"] - self.base_units.append(BaseUnit(**params)) + self.species_data.append( + MeasurementData(**params) + ) - return self.base_units[-1] + return self.species_data[-1] -class BaseUnit(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore +class MeasurementData(BaseModel): - kind: UnitType - exponent: int - multiplier: Optional[float] = Field(default=None) - scale: Optional[float] = Field(default=None) + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + species_id: str + initial: float + data_unit: UnitDefinition + time_unit: UnitDefinition + data_type: DataTypes + prepared: Optional[float] = Field(default=None) + data: list[float] = Field(default_factory=list) + time: list[float] = Field(default_factory=list) + is_simulated: bool = False # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:BaseUnit/" + str(uuid4()), + default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ - "enzml:BaseUnit", + default_factory = lambda: [ + "enzml:MeasurementData", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", - }, + "species_id": { + "@type": "@id", + }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1975,9 +1916,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1986,7 +1925,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -2014,44 +1956,55 @@ def add_type_term( self.ld_type.append(term) -class EqVariable(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore +class UnitDefinition(BaseModel): - id: str - name: str - symbol: Optional[str] = Field(default=None) + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + id: Optional[str] = Field(default=None) + name: Optional[str] = Field(default=None) + base_units: list[BaseUnit] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:EqVariable/" + str(uuid4()), + default_factory=lambda: "enzml:UnitDefinition/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ - "enzml:EqVariable", + default_factory = lambda: [ + "enzml:UnitDefinition", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@type": "@id", - }, - }, + } ) + def filter_base_units(self, **kwargs) -> list[BaseUnit]: + """Filters the base_units attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[BaseUnit]: The filtered list of BaseUnit objects + """ + + return FilterWrapper[BaseUnit](self.base_units, **kwargs).filter() + + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -2073,9 +2026,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -2084,7 +2035,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -2112,45 +2066,68 @@ def add_type_term( self.ld_type.append(term) -class EqParameter(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + def add_to_base_units( + self, + kind: UnitType, + exponent: int, + multiplier: Optional[float]= None, + scale: Optional[float]= None, + **kwargs, + ): + params = { + "kind": kind, + "exponent": exponent, + "multiplier": multiplier, + "scale": scale + } - id: str - name: str - symbol: Optional[str] = Field(default=None) - value: Optional[float] = Field(default=None) + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.base_units.append( + BaseUnit(**params) + ) + + return self.base_units[-1] + +class BaseUnit(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore + + kind: UnitType + exponent: int + multiplier: Optional[float] = Field(default=None) + scale: Optional[float] = Field(default=None) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:EqParameter/" + str(uuid4()), + default_factory=lambda: "enzml:BaseUnit/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ - "enzml:EqParameter", + default_factory = lambda: [ + "enzml:BaseUnit", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@type": "@id", - }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -2172,9 +2149,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -2183,7 +2158,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -2211,21 +2189,19 @@ def add_type_term( self.ld_type.append(term) -class DataTypes(Enum): - ABSORPTION = "abs" - BIOMASS = "biomass" - CONCENTRATION = "conc" - CONVERSION = "conversion" - FEED = "feed" - PEAK_AREA = "peak-area" - - class EquationType(Enum): ASSIGNMENT = "assignment" INITIAL_ASSIGNMENT = "initialAssignment" ODE = "ode" RATE_LAW = "rateLaw" +class DataTypes(Enum): + ABSORBANCE = "http://purl.allotrope.org/ontologies/quality#AFQ_0000061" + CONCENTRATION = "http://purl.obolibrary.org/obo/PATO_0000033" + CONVERSION = "http://purl.allotrope.org/ontologies/quality#AFQ_0000226" + FLUORESCENCE = "http://purl.obolibrary.org/obo/PATO_0000018" + PEAK_AREA = "http://purl.allotrope.org/ontologies/result#AFR_0001073" + TRANSMITTANCE = "http://purl.allotrope.org/ontologies/result#AFR_0002261" class UnitType(Enum): AMPERE = "ampere" @@ -2261,4 +2237,4 @@ class UnitType(Enum): TESLA = "tesla" VOLT = "volt" WATT = "watt" - WEBER = "weber" + WEBER = "weber" \ No newline at end of file From 4890eb23e4a458b68887357456bb0e05880284c8 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:04:59 +0200 Subject: [PATCH 028/172] utilities to parse RDF --- pyenzyme/sbml/ldutils.py | 86 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 86 insertions(+) create mode 100644 pyenzyme/sbml/ldutils.py diff --git a/pyenzyme/sbml/ldutils.py b/pyenzyme/sbml/ldutils.py new file mode 100644 index 00000000..4425e00e --- /dev/null +++ b/pyenzyme/sbml/ldutils.py @@ -0,0 +1,86 @@ +import rdflib +import json +import xml.etree.ElementTree as ET + + +def parse_sbml_rdf_annotation(sbml_obj, enzml_obj): + """Parse the RDF annotation of an SBML object.""" + + annotation = sbml_obj.getAnnotationString() + + if not annotation: + return None + + json_ld_header = _rdf_annotation_to_json_ld(annotation) + _map_json_ld_to_obj(enzml_obj, json_ld_header) + + +def _rdf_annotation_to_json_ld(annotation: str): + """Convert an SBML annotation to JSON-LD.""" + + # Parse the RDF annotation and extract the root + # RDF element to create an RDF graph + root = ET.fromstring(annotation) + rdf_element = root.find("{http://www.w3.org/1999/02/22-rdf-syntax-ns#}RDF") + + if rdf_element is None: + return None + + # Create a new RDF graph and parse the annotation + g = rdflib.Graph() + g.parse(data=ET.tostring(rdf_element), format="xml") + + return json.loads(g.serialize(format="json-ld")) + + +def _map_json_ld_to_obj(obj, header: list | None): + """Map JSON-LD header to an object.""" + + if header is None: + return + + for key, value in header[0].items(): + if key == "@context": + obj.ld_context.update(value) + elif key == "@id": + obj.ld_id = value + elif key == "@type": + obj.ld_type += value + + _sync_context_prefixes(obj) + + +def _sync_context_prefixes(obj): + """Sync the context prefixes of an object.""" + + inverse_prefixes = { + value: key + for key, value in obj.ld_context.items() + if isinstance(value, str) + } + + # Convert context + for key, value in obj.ld_context.items(): + if not isinstance(value, str): + continue + if value in inverse_prefixes: + # Skip if the prefix is already in the context + continue + + for iri, prefix in inverse_prefixes.items(): + value = value.replace(iri, f"{prefix}:") + + # Convert types + for i, type_ in enumerate(obj.ld_type): + for iri, prefix in inverse_prefixes.items(): + + if type_.startswith(iri): + obj.ld_type[i] = type_.replace(iri, f"{prefix}:") + break + + # Unique types + obj.ld_type = list(set(obj.ld_type)) + + # Convert ID + for iri, prefix in inverse_prefixes.items(): + obj.ld_id = obj.ld_id.replace(iri, f"{prefix}:") From 4fcdb6ddccc06545977eac0e3f6d112ed9d927d7 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:05:19 +0200 Subject: [PATCH 029/172] remove redundant `unit` arg --- pyenzyme/equations/_math.py | 62 ++++++++++++++++++++----------------- 1 file changed, 34 insertions(+), 28 deletions(-) diff --git a/pyenzyme/equations/_math.py b/pyenzyme/equations/_math.py index ec7f7231..9c3f264d 100644 --- a/pyenzyme/equations/_math.py +++ b/pyenzyme/equations/_math.py @@ -1,16 +1,18 @@ import re + import rich from loguru import logger +from sympy import sympify + from pyenzyme.logging import add_logger from pyenzyme.model import ( EnzymeMLDocument, Equation, - EqVariable, - EqParameter, EquationType, UnitDefinition, + Variable, + Parameter, ) -from sympy import sympify INIT_ASSIGNMENT_PATTERN = r"^[A-Za-z][A-Za-z\_]*" DERIVATIVE_PATTERN = r"([A-Za-z0-9\_]+)\'\(t\)" @@ -22,14 +24,13 @@ def build_equations( *equations: str, - units: list[UnitDefinition], - enzmldoc: EnzymeMLDocument | None = None, - unit_mapping: dict[str, UnitDefinition] = {}, + unit_mapping: dict[str, UnitDefinition] | None = None, ) -> list[Equation]: """Builds a list of Equation objects from a list of string representations. Args: *equations (list[str]): A list of string representations of the ODEs + unit_mapping: A dictionary mapping parameter names to their respective Returns: list[ODE]: A list of ODE objects @@ -38,22 +39,17 @@ def build_equations( >> build_equations("s1'(t) = 2 * s2(t)", "s2'(t) = 3 * s1(t)") """ + if unit_mapping is None: + unit_mapping = {} + assert all(isinstance(eq, str) for eq in equations), "All equations must be strings" - assert all( - isinstance(unit, UnitDefinition) for unit in units - ), "All units must be UnitDefinition objects" - assert len(equations) == len( - units - ), "The number of equations must match the number of units" - return [build_equation(eq, unit, enzmldoc) for eq, unit in zip(equations, units)] # type: ignore + return [build_equation(eq, unit_mapping) for eq in equations] # type: ignore def build_equation( equation: str, - unit: UnitDefinition, - enzmldoc: EnzymeMLDocument | None = None, - unit_mapping: dict[str, UnitDefinition] = {}, + unit_mapping: dict[str, UnitDefinition] | None = None, ) -> Equation: """Builds an equation object from a string @@ -63,7 +59,7 @@ def build_equation( Args: equation (str): The equation to be converted into an ODE object - enzmldoc (EnzymeMLDocument): The EnzymeMLDocument used to transfer parameters to + unit_mapping: A dictionary mapping parameter names to their respective units Returns: ODE: The ODE object @@ -75,6 +71,9 @@ def build_equation( """ + if unit_mapping is None: + unit_mapping = {} + left, right = _extract_sides(equation) variables = set(re.findall(VARIABLE_PATTERN, right)) @@ -102,28 +101,35 @@ def build_equation( right = sympify(_clean_and_trim(right)) left = _clean_and_trim(left) - parameters = {str(symbol) for symbol in right.free_symbols} - variables + parameters = {str(symbol) for symbol in right.free_symbols} - variables # type: ignore if equation_type == EquationType.ASSIGNMENT: parameters = parameters.union({left}) eq = Equation( - species_id=left, + species_id=left if left else None, equation=str(right), variables=[_create_variable(name) for name in variables], - parameters=[_create_parameter(name) for name in parameters], equation_type=equation_type, - unit=unit, + parameters=[ + _create_parameter(name, unit_mapping.get(name)) for name in parameters + ], ) - if enzmldoc: - [_add_to_parameters(enzmldoc, param.name, param.id) for param in eq.parameters] - _add_units_to_parameters(enzmldoc, unit_mapping) + # Left out for now, but could be re-used by decision upon change to include + # parameters on the top-level document. + # if enzmldoc: + # [_add_to_parameters(enzmldoc, param.name, param.id) for param in eq.parameters] + # _add_units_to_parameters(enzmldoc, unit_mapping) return eq def _extract_sides(equation: str) -> tuple[str, str]: + if "=" not in equation: + # Will be handled as a kinetic law + return "", equation + left, right, *_ = equation.split("=") if right == "": @@ -144,12 +150,12 @@ def _clean_and_trim(eq: str) -> str: return eq.strip() -def _create_parameter(name: str) -> EqParameter: - return EqParameter(id=name, name=name, symbol=name) +def _create_parameter(name: str, unit: UnitDefinition | None) -> Parameter: + return Parameter(id=name, name=name, symbol=name, unit=unit) -def _create_variable(name: str) -> EqVariable: - return EqVariable(id=name, name=name, symbol=name) +def _create_variable(name: str) -> Variable: + return Variable(id=name, name=name, symbol=name) def _add_to_parameters(enzmldoc: EnzymeMLDocument, name: str, id: str): From abe69446d5a3f584ea049a88beeac0ff2de8410a Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:05:35 +0200 Subject: [PATCH 030/172] export vital sbml functions --- pyenzyme/sbml/__init__.py | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/pyenzyme/sbml/__init__.py b/pyenzyme/sbml/__init__.py index 2ae543c2..ab163b1d 100644 --- a/pyenzyme/sbml/__init__.py +++ b/pyenzyme/sbml/__init__.py @@ -1,3 +1,10 @@ +from .omex import create_sbml_omex, read_sbml_omex +from .parser import read_sbml from .serializer import to_sbml -__all__ = ["to_sbml"] +__all__ = [ + "to_sbml", + "read_sbml", + "create_sbml_omex", + "read_sbml_omex", +] From 73503773ba298edfbb981fdd1e1747f345ae881b Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:05:46 +0200 Subject: [PATCH 031/172] adjust to model changes --- pyenzyme/tabular.py | 30 ++++++++++++++++++++---------- 1 file changed, 20 insertions(+), 10 deletions(-) diff --git a/pyenzyme/tabular.py b/pyenzyme/tabular.py index d799c8c5..16e77dfe 100644 --- a/pyenzyme/tabular.py +++ b/pyenzyme/tabular.py @@ -1,6 +1,10 @@ -import pandas as pd +from __future__ import annotations + import pathlib as pl +import pandas as pd +from loguru import logger # type: ignore + from .model import ( DataTypes, Measurement, @@ -12,7 +16,7 @@ def to_pandas( enzmldoc: EnzymeMLDocument, - ignore: list[str] = [], + ignore: list[str] | None = None, ) -> pd.DataFrame: """This function converts an EnzymeMLDocument object to a pandas DataFrame. @@ -35,6 +39,9 @@ def to_pandas( ValueError: If the measurement does not contain species data. """ + if ignore is None: + ignore = [] + assert isinstance( enzmldoc, EnzymeMLDocument ), "The input must be an EnzymeMLDocument object" @@ -46,7 +53,7 @@ def to_pandas( if not isinstance(meas, Measurement): raise ValueError("The measurements must be of type Measurement") - if meas.species is None: + if meas.species_data is None: raise ValueError("The measurement must contain species data") df = _measurement_to_pandas(meas) @@ -115,7 +122,7 @@ def read_csv( data_unit: UnitDefinition, time_unit: UnitDefinition, data_type: DataTypes = DataTypes.CONCENTRATION, - sep: str = ";", + sep: str = "\t", ): """Reads a CSV file from the specified path into a measurement. @@ -241,12 +248,12 @@ def _create_single_measurement( time=time, data_unit=data_unit, time_unit=time_unit, - init_conc=species_data[0], + initial=species_data[0], data_type=data_type, ) ) - return Measurement(name=id, id=id, species=meas_data) + return Measurement(name=id, id=id, species_data=meas_data) def _process_multiple_measurements( @@ -292,8 +299,8 @@ def _measurement_to_pandas(measurement: Measurement) -> pd.DataFrame: _validate_measurement(measurement) - data = {"time": measurement.species[0].time} - for species in measurement.species: + data = {"time": measurement.species_data[0].time} + for species in measurement.species_data: data[species.species_id] = species.data return pd.DataFrame(data) @@ -305,11 +312,14 @@ def _validate_measurement(meas: Measurement) -> None: try: times = pd.DataFrame( - {species.species_id + "_time": species.time for species in meas.species} + { + species.species_id + "_time": species.time + for species in meas.species_data + } ) except ValueError: time_lengths = { - species.species_id: len(species.time) for species in meas.species + species.species_id: len(species.time) for species in meas.species_data } raise ValueError( f"Export to pandas not possible, the time lengths are inconsistent. Got different time arrays per species: {time_lengths}" From 877cd41cb35ce20e5008fe1fa9c76d2867c982fb Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:05:58 +0200 Subject: [PATCH 032/172] add parameter fetcher --- pyenzyme/tools.py | 19 +++++++++++++++++-- 1 file changed, 17 insertions(+), 2 deletions(-) diff --git a/pyenzyme/tools.py b/pyenzyme/tools.py index 6a82de76..dcea60f7 100644 --- a/pyenzyme/tools.py +++ b/pyenzyme/tools.py @@ -1,7 +1,22 @@ -from enum import Enum -import toml import functools as ft import importlib.resources as pkg_resources +from enum import Enum + +import toml + +import pyenzyme as pe + + +def get_all_parameters(enzmldoc): + """Extracts all parameters from an EnzymeMLDocument. + + Args: + enzmldoc (EnzymeMLDocument): The EnzymeMLDocument to extract parameters from. + + Returns: + list[Parameter]: A list of all parameters in the EnzymeMLDocument. + """ + return find_unique(enzmldoc, target=pe.Parameter) def read_static_file(path, filename: str): From 0e41499a87c788d55dfdddf0ba0c23b441ab4ab3 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:06:18 +0200 Subject: [PATCH 033/172] refactor and extend to nested and multiple types --- pyenzyme/xmlutils.py | 74 ++++++++++++++++++++++++++++++++++++++------ 1 file changed, 64 insertions(+), 10 deletions(-) diff --git a/pyenzyme/xmlutils.py b/pyenzyme/xmlutils.py index bbcfad80..fb23f55c 100644 --- a/pyenzyme/xmlutils.py +++ b/pyenzyme/xmlutils.py @@ -1,38 +1,83 @@ -import xml.etree.ElementTree as ET import xml.dom.minidom as minidom +import xml.etree.ElementTree as ET +from enum import Enum +from typing import Any -def map_to_xml(root: ET.Element, mappings: dict, namespace: str): +def map_to_xml( + root: ET.Element, + mappings: dict, + namespace: str, +): """ Maps a dictionary to XML elements and appends them to the root element. Args: root (ET.Element): The root element to which sub-elements are appended. mappings (dict): The dictionary containing the key-value mappings to convert to XML. + namespace (str): The namespace of the XML elements. """ for key, value in mappings.items(): if value is None: continue if key.startswith("@"): - root.attrib[key[1:]] = str(value) + root.attrib[key[1:]] = _convert_types(value) continue subelement = ET.Element(f"{{{namespace}}}{key}") if isinstance(value, dict): process_dict_value(subelement, value) + elif isinstance(value, list): + process_multiple_element(key, namespace, root, value) elif key.startswith("@"): - subelement.attrib[key[1:]] = str(value) + subelement.attrib[key[1:]] = _convert_types(value) else: - subelement.text = str(value) + subelement.text = _convert_types(value) if not _is_empty(subelement): root.append(subelement) +def _convert_types(value): + if isinstance(value, float) and value == 0.0: + return "0.0" + if isinstance(value, Enum): + return str(value.name) + + return str(value) + + +def process_multiple_element( + key: str, + namespace: str, + root: ET.Element, + value: Any, +): + """Processes a list value and adds it as a list of elements to the root element. + + Args: + key (str): The key of the list element. + namespace (str): The namespace of the list element. + root (ET.Element): The root element to which the list elements are appended. + value (list): The list of values to be added as elements. + """ + for i, item in enumerate(value): + list_element = ET.Element(f"{{{namespace}}}{key}") + list_element.text = _convert_types(item) + root.append(list_element) + + def _is_empty(element: ET.Element): - """Checks if an element and its sub elements are empty.""" + """Checks if an element and its sub elements are empty. + + Args: + element (ET.Element): The element to check. + + Returns: + bool: True if the element is empty, False otherwise. + """ return all( [ @@ -43,7 +88,10 @@ def _is_empty(element: ET.Element): ) -def process_dict_value(subelement: ET.Element, value: dict): +def process_dict_value( + subelement: ET.Element, + value: dict, +): """ Processes a dictionary value and adds it as attributes or text to a subelement. @@ -56,9 +104,9 @@ def process_dict_value(subelement: ET.Element, value: dict): continue if subkey.startswith("@"): - subelement.attrib[subkey[1:]] = str(subvalue) + subelement.attrib[subkey[1:]] = _convert_types(subvalue) else: - subelement.text = str(subvalue) + subelement.text = _convert_types(subvalue) def serialize_to_pretty_xml_string(element: ET.Element | None) -> str | None: @@ -67,7 +115,13 @@ def serialize_to_pretty_xml_string(element: ET.Element | None) -> str | None: if element is None: return None - rough_string = ET.tostring(element, "utf-8", xml_declaration=False) + rough_string = ET.tostring( + element, + encoding="unicode", + method="xml", + xml_declaration=False, + ) + reparsed = minidom.parseString(rough_string) return "\n".join(reparsed.toprettyxml(indent="\t").split("\n")[1:]).strip() From b15e149e9ba43586a6efde75828839ad48737433 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:06:58 +0200 Subject: [PATCH 034/172] rename to prevent mutability issues --- pyenzyme/units/units.py | 83 +++++++++++++++++++++++++++-------------- 1 file changed, 54 insertions(+), 29 deletions(-) diff --git a/pyenzyme/units/units.py b/pyenzyme/units/units.py index e1902c2e..917beea1 100644 --- a/pyenzyme/units/units.py +++ b/pyenzyme/units/units.py @@ -1,7 +1,9 @@ +from copy import deepcopy from enum import Enum from functools import partial from pydantic import model_validator + from pyenzyme.model import ( UnitDefinition as _UnitDefinition, BaseUnit as _BaseUnit, @@ -99,17 +101,21 @@ def __rtruediv__(self, other: object) -> "UnitDefinition": Raises: TypeError: If the other operand type is unsupported. """ - for base in self.base_units: + + unit_def = deepcopy(self) + unit_def.id = None + + for base in unit_def.base_units: base.exponent = -abs(base.exponent) if isinstance(other, UnitDefinition): - self.base_units.extend(other.base_units) + unit_def.base_units.extend(other.base_units) elif isinstance(other, _BaseUnit): - self.base_units.append(other) + unit_def.base_units.append(other) - self._get_name() + unit_def._get_name() - return self + return unit_def def __truediv__(self, other: object) -> "UnitDefinition": """Division operation to handle unit division. @@ -128,17 +134,20 @@ def __truediv__(self, other: object) -> "UnitDefinition": """ + unit_def = deepcopy(self) + unit_def.id = None + if isinstance(other, UnitDefinition): for base in other.base_units: base.exponent = -abs(base.exponent) - self.base_units.extend(other.base_units) + unit_def.base_units.extend(other.base_units) elif isinstance(other, _BaseUnit): other.exponent = -abs(other.exponent) - self.base_units.append(other) + unit_def.base_units.append(other) - self._get_name() + unit_def._get_name() - return self + return unit_def def __mul__(self, other: object) -> "UnitDefinition": """Multiplication operation to handle unit multiplication. @@ -152,16 +161,20 @@ def __mul__(self, other: object) -> "UnitDefinition": Raises: TypeError: If the other operand type is unsupported. """ + + unit_def = deepcopy(self) + unit_def.id = None + if isinstance(other, (int, float)): - for base in self.base_units: + for base in unit_def.base_units: if base.multiplier: base.multiplier *= other else: base.multiplier = other - self._get_name() + unit_def._get_name() - return self + return unit_def raise TypeError( f"unsupported operand type(s) for *: 'UnitDefinition' and '{type(other)}'" @@ -268,16 +281,19 @@ def __rtruediv__(self, other: object) -> "UnitDefinition | BaseUnit": Raises: TypeError: If the other operand type is unsupported. """ + + base_unit = deepcopy(self) + if isinstance(other, UnitDefinition): - self.exponent = -self.exponent - other.base_units.append(self) + base_unit.exponent = -base_unit.exponent + other.base_units.append(base_unit) other._get_name() return other elif isinstance(other, (int, float)): - self.exponent = -self.exponent - return self + base_unit.exponent = -base_unit.exponent + return base_unit raise TypeError( f"unsupported operand type(s) for /: 'BaseUnit' and '{type(other)}'" @@ -295,13 +311,16 @@ def __truediv__(self, other: object) -> "UnitDefinition": Raises: TypeError: If the other operand type is unsupported. """ + + this_bu = deepcopy(self) + if isinstance(other, BaseUnit): other.exponent = -other.exponent - return UnitDefinition(base_units=[self, other])._get_name() + return UnitDefinition(base_units=[this_bu, other])._get_name() elif isinstance(other, UnitDefinition): for base_unit in other.base_units: base_unit.exponent = -base_unit.exponent - other.base_units.append(self) + other.base_units.append(this_bu) other._get_name() return other @@ -322,9 +341,12 @@ def __pow__(self, other: int) -> "_BaseUnit": Raises: TypeError: If the exponent is not an integer. """ + + this_bu = deepcopy(self) + if isinstance(other, int): - self.exponent = other - return self + this_bu.exponent = other + return this_bu raise TypeError( f"unsupported operand type(s) for **: 'BaseUnit' and '{type(other)}'" @@ -342,25 +364,28 @@ def __mul__(self, other: object) -> object: Raises: TypeError: If the other operand type is unsupported. """ + + this_bu = deepcopy(self) + if isinstance(other, BaseUnit): - if self.exponent < 0 or other.exponent < 0: - self.exponent = abs(self.exponent) + if this_bu.exponent < 0 or other.exponent < 0: + this_bu.exponent = abs(this_bu.exponent) other.exponent = abs(other.exponent) - return UnitDefinition(base_units=[self, other])._get_name() + return UnitDefinition(base_units=[this_bu, other])._get_name() elif isinstance(other, UnitDefinition): - other.base_units.append(self) + other.base_units.append(this_bu) other._get_name() return other elif isinstance(other, Prefix): - return other * self + return other * this_bu elif isinstance(other, (int, float)): - if self.multiplier: - self.multiplier *= other + if this_bu.multiplier: + this_bu.multiplier *= other else: - self.multiplier = other - return self + this_bu.multiplier = other + return this_bu raise TypeError( f"unsupported operand type(s) for *: 'BaseUnit' and '{type(other)}'" From 6acea114aab7486010ee38bb88420a592189d41c Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:07:10 +0200 Subject: [PATCH 035/172] add `pymetadata` dep for OMEX support --- pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/pyproject.toml b/pyproject.toml index 6799849d..681febd7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,6 +17,7 @@ pydantic = "^2.7.4" loguru = "^0.7.2" rdflib = "7.0.0" sympy = "^1.12.1" +pymetadata = "^0.4.4" [tool.poetry.group.neo4j.dependencies] neo4j = "^5.21.0" From d687c4367b171a337a9d6c193d9265732ef279ac Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:08:15 +0200 Subject: [PATCH 036/172] update tests --- tests/fixtures/sbml/ode_example_enzml.json | 1118 +++++++++++++++++ tests/fixtures/sbml/ode_example_sbml.xml | 268 ++++ .../fixtures/sbml/reaction_example_enzml.json | 1029 +++++++++++++++ tests/fixtures/sbml/reaction_example_sbml.xml | 231 ++++ tests/fixtures/tabular/measurement_valid.json | 20 +- tests/unit/test_equations.py | 28 +- tests/unit/test_tabular.py | 65 +- 7 files changed, 2703 insertions(+), 56 deletions(-) create mode 100644 tests/fixtures/sbml/ode_example_enzml.json create mode 100644 tests/fixtures/sbml/ode_example_sbml.xml create mode 100644 tests/fixtures/sbml/reaction_example_enzml.json create mode 100644 tests/fixtures/sbml/reaction_example_sbml.xml diff --git a/tests/fixtures/sbml/ode_example_enzml.json b/tests/fixtures/sbml/ode_example_enzml.json new file mode 100644 index 00000000..57a2b6e3 --- /dev/null +++ b/tests/fixtures/sbml/ode_example_enzml.json @@ -0,0 +1,1118 @@ +{ + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "name": "schema:title", + "references": { + "@id": "schema:citation", + "@type": "@id" + }, + "created": "schema:dateCreated", + "modified": "schema:dateModified", + "creators": "schema:creator" + }, + "@id": "enzml:EnzymeMLDocument/44649453-a157-4cb7-be07-8fb09a82f4ca", + "@type": [ + "enzml:EnzymeMLDocument" + ], + "name": "Test", + "references": [], + "creators": [], + "vessels": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "name": "schema:name", + "volume": "OBO:OBI_0002139" + }, + "@id": "enzml:Vessel/02063116-73f1-4ba1-b166-8fe835e55659", + "@type": [ + "enzml:Vessel", + "OBO:OBI_0400081" + ], + "id": "v0", + "name": "Vessel 1", + "volume": 10.0, + "unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000098", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u0", + "name": "ml", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/efd21ea0-af02-4920-9036-9c8337cf0421", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "litre", + "exponent": 1, + "scale": -3.0 + } + ] + }, + "constant": true + } + ], + "proteins": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@type": "@id" + }, + "name": "schema:name", + "sequence": "OBO:GSSO_007262", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "organism": "OBO:OBI_0100026", + "organism_tax_id": { + "@type": "@id" + }, + "references": { + "@id": "schema:citation", + "@type": "@id" + } + }, + "@id": "enzml:Protein/cf3097ad-5833-4ff8-99f1-784cd5f673ca", + "@type": [ + "enzml:Protein", + "schema:Protein" + ], + "id": "p0", + "name": "Enzyme", + "constant": false, + "sequence": "MTEY", + "vessel_id": "v0", + "ecnumber": "1.1.1.1", + "organism": "E.coli", + "organism_tax_id": "12345", + "references": [] + } + ], + "complexes": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "name": "schema:name", + "participants": { + "@type": "@id" + } + }, + "@id": "enzml:Complex/fa79ccd6-acbe-47e4-a8d1-795eb18346db", + "@type": [ + "enzml:Complex" + ], + "id": "c0", + "name": "Enzyme-Substrate Complex", + "constant": false, + "participants": [ + "p0", + "s0" + ] + } + ], + "small_molecules": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "name": "schema:name", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "references": { + "@id": "schema:citation", + "@type": "@id" + } + }, + "@id": "enzml:SmallMolecule/5375d6fb-6246-43b0-bc81-d47e3e72493f", + "@type": [ + "enzml:SmallMolecule" + ], + "id": "s0", + "name": "Substrate", + "constant": false, + "vessel_id": "v0", + "canonical_smiles": "CC(=O)O", + "inchikey": "QTBSBXVTEAMEQO-UHFFFAOYSA-N", + "references": [] + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "name": "schema:name", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "references": { + "@id": "schema:citation", + "@type": "@id" + } + }, + "@id": "enzml:SmallMolecule/c7318d93-2a0f-44c0-9ebe-a79fc27bf01e", + "@type": [ + "enzml:SmallMolecule" + ], + "id": "s1", + "name": "Product", + "constant": false, + "vessel_id": "v0", + "canonical_smiles": "CC(=O)O", + "inchikey": "QTBSBXVTEAMEQO-UHFFFAOYSA-N", + "references": [] + } + ], + "reactions": [], + "measurements": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "group_id": { + "@type": "@id" + } + }, + "@id": "enzml:Measurement/ef303c49-7554-4367-9f44-cb6e9838c1be", + "@type": [ + "enzml:Measurement" + ], + "id": "m0", + "name": "m0", + "species_data": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@type": "@id" + } + }, + "@id": "enzml:MeasurementData/3beaeb28-72a4-4398-ae34-c9208c03aa0b", + "@type": [ + "enzml:MeasurementData" + ], + "species_id": "s0", + "initial": 0.0, + "data_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000063", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u2", + "name": "mmol / l", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/cff3e0ad-ce88-479a-8c01-b06e012e3195", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "mole", + "exponent": 1, + "scale": -3.0 + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/df1eed89-6a35-483e-a187-b981d9ee0405", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "litre", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "time_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000010", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u1", + "name": "s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/634613e6-a06f-42e9-9e11-b32c3e6f6f09", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", + "data": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], + "is_simulated": false + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@type": "@id" + } + }, + "@id": "enzml:MeasurementData/00c0dabc-47cc-40d5-a4d5-7809880aad52", + "@type": [ + "enzml:MeasurementData" + ], + "species_id": "s1", + "initial": 10.0, + "data_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000063", + "@type": [ + "OBO:UO_0000000" + ], 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"exponent": -1, + "scale": 1.0 + } + ] + }, + "time_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000010", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u4", + "name": "s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/ec7aa14e-db13-4b05-ac2a-19973ff83e5a", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", + "data": [ + 10.0, + 9.0, + 8.0, + 7.0, + 6.0, + 5.0, + 4.0, + 3.0, + 2.0, + 1.0, + 0.0 + ], + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], + "is_simulated": false + } + ], + "ph": 7.0, + "temperature": 298.15, + "temperature_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000012", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u5", + "name": "K", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/ff8443f5-375d-4fbe-b199-598194298fb4", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "kelvin", + "exponent": 1, + "scale": 1.0 + } + ] + } + } + ], + "equations": [] +} \ No newline at end of file diff --git a/tests/fixtures/sbml/reaction_example_sbml.xml b/tests/fixtures/sbml/reaction_example_sbml.xml new file mode 100644 index 00000000..d346fc53 --- /dev/null +++ b/tests/fixtures/sbml/reaction_example_sbml.xml @@ -0,0 +1,231 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Vessel 1 + 10.0 + + + + + + + + + + + + + + Enzyme + MTEY + + + + + + MTEY + + + + + + + + Substrate + + + + + + + + + + Product + + + + + + + + + + + + + + + + 0.0 + 100.0 + 0.1 + + + + + + + + + + + + 0.0 + 100.0 + 0.1 + + + + + + + + + + + + + + + + + + + + + + + + + + + + kcat + p0 + s0 + + + + K_m + s0 + + + + + + + + diff --git a/tests/fixtures/tabular/measurement_valid.json b/tests/fixtures/tabular/measurement_valid.json index ed462a27..926018d9 100644 --- a/tests/fixtures/tabular/measurement_valid.json +++ b/tests/fixtures/tabular/measurement_valid.json @@ -44,7 +44,7 @@ ], "id": "m0", "name": "Measurement 1", - "species": [ + "species_data": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", @@ -59,8 +59,8 @@ "enzml:MeasurementData" ], "species_id": "s1", - "init_conc": 0.0, - "data_type": "conc", + "initial": 0.0, + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", @@ -171,8 +171,8 @@ "enzml:MeasurementData" ], "species_id": "s2", - "init_conc": 10.0, - "data_type": "conc", + "initial": 10.0, + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", @@ -290,7 +290,7 @@ ], "id": "m1", "name": "Measurement 2", - "species": [ + "species_data": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", @@ -305,8 +305,8 @@ "enzml:MeasurementData" ], "species_id": "s1", - "init_conc": 0.0, - "data_type": "conc", + "initial": 0.0, + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", @@ -417,8 +417,8 @@ "enzml:MeasurementData" ], "species_id": "s2", - "init_conc": 100.0, - "data_type": "conc", + "initial": 100.0, + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", diff --git a/tests/unit/test_equations.py b/tests/unit/test_equations.py index 3556555d..c135621c 100644 --- a/tests/unit/test_equations.py +++ b/tests/unit/test_equations.py @@ -1,9 +1,9 @@ import pytest -from pyenzyme.equations._math import build_equation, build_equations from pyenzyme.equations._chem import build_reaction, build_reactions -from pyenzyme.units import M, second +from pyenzyme.equations._math import build_equation, build_equations from pyenzyme.model import EquationType +from pyenzyme.units import M, second class TestMathEquations: @@ -12,7 +12,7 @@ def test_parse_equation(self): equation = "s1'(t) = kcat * p0(t) * s0(t)" # Act - equation = build_equation(equation, unit=M / second) + equation = build_equation(equation) # Assert expected_vars = ["p0", "s0"] @@ -37,21 +37,13 @@ def test_parse_equation(self): assert param.name in expected_params assert param.symbol in expected_params - def test_invalid_equation_no_left(self): - # Arrange - equation = "kcat * p0(t) * s0(t)" - - # Act - with pytest.raises(ValueError): - equation = build_equation(equation, unit=M / second) - def test_invalid_equation_no_right(self): # Arrange equation = "s1'(t) =" # Act with pytest.raises(ValueError): - equation = build_equation(equation, unit=M / second) + equation = build_equation(equation) def test_invalid_equation_no_equals(self): # Arrange @@ -59,14 +51,14 @@ def test_invalid_equation_no_equals(self): # Act with pytest.raises(ValueError): - equation = build_equation(equation, unit=M / second) + equation = build_equation(equation) def test_equation_with_funs(self): # Arrange equation = "s1'(t) = kcat * exp(p0(t) * t)" # Act - equation = build_equation(equation, unit=M / second) + equation = build_equation(equation) # Assert assert ( @@ -81,7 +73,7 @@ def test_equation_with_fun_only_t(self): equation = "s1'(t) = kcat * exp(t)" # Act - equation = build_equation(equation, unit=M / second) + equation = build_equation(equation) # Assert assert ( @@ -100,7 +92,7 @@ def test_multiple_equations(self): # Act units = [M / second, M] - equations = build_equations(*equations, units=units) + equations = build_equations(*equations) # Assert assert len(equations) == 2, f"Expected 2 equations. Got {len(equations)}" @@ -110,7 +102,7 @@ def test_init_assigment_equation(self): equation = "E_tot = p0 + p1" # Act - equation = build_equation(equation, unit=M) + equation = build_equation(equation) # Assert assert ( @@ -128,7 +120,7 @@ def test_assigment_equation(self): equation = "E_tot(t) = p0 + p1" # Act - equation = build_equation(equation, unit=M) + equation = build_equation(equation) # Assert assert ( diff --git a/tests/unit/test_tabular.py b/tests/unit/test_tabular.py index 821faa32..6a3bced8 100644 --- a/tests/unit/test_tabular.py +++ b/tests/unit/test_tabular.py @@ -1,9 +1,9 @@ -import pytest import pandas as pd -import pyenzyme as pe +import pytest -from pyenzyme.units import mM, s +import pyenzyme as pe from pyenzyme.tabular import _measurement_to_pandas, to_pandas +from pyenzyme.units import mM, s class TestTabularExport: @@ -31,7 +31,7 @@ def test_multiple_measurements(self, measurement_valid): # Assert total_time_len = sum( - [len(m.species[0].time) for m in measurement_valid.measurements] + [len(m.species_data[0].time) for m in measurement_valid.measurements] ) assert ( @@ -46,10 +46,10 @@ def test_multiple_measurements(self, measurement_valid): for measurement in measurement_valid.measurements: df_sub = df[df["id"] == measurement.id] assert df_sub.shape[0] == len( - measurement.species[0].time - ), f"Expected {len(measurement.species[0].time)} rows. Got {df_sub.shape[0]}" + measurement.species_data[0].time + ), f"Expected {len(measurement.species_data[0].time)} rows. Got {df_sub.shape[0]}" - for species in measurement.species: + for species in measurement.species_data: assert ( species.species_id in df.columns ), f"Expected column for {species}" @@ -59,31 +59,38 @@ class TestTabularImport: def test_csv_import(self): """Test that a CSV file can be imported to a pandas DataFrame""" # Act - meas = pe.read_csv("tests/fixtures/tabular/data.csv", data_unit=mM, time_unit=s) + meas = pe.read_csv( + "tests/fixtures/tabular/data.csv", + data_unit=mM, + time_unit=s, + sep=";", + ) # Assert assert len(meas) == 2, f"Expected 2 measurements. Got {len(meas)}" for m in meas: - assert len(m.species) == 2, f"Expected 2 species. Got {len(m.species)}" assert ( - len(m.species[0].time) == 11 - ), f"Expected 10 time points. Got {len(m.species[0].time)}" + len(m.species_data) == 2 + ), f"Expected 2 species. Got {len(m.species_data)}" assert ( - len(m.species[1].time) == 11 - ), f"Expected 10 time points. Got {len(m.species[1].time)}" + len(m.species_data[0].time) == 11 + ), f"Expected 10 time points. Got {len(m.species_data[0].time)}" assert ( - m.species[0].data_unit == mM - ), f"Expected mM. Got {m.species[0].data_unit}" + len(m.species_data[1].time) == 11 + ), f"Expected 10 time points. Got {len(m.species_data[1].time)}" assert ( - m.species[0].time_unit == s - ), f"Expected s. Got {m.species[0].time_unit}" + m.species_data[0].data_unit == mM + ), f"Expected mM. Got {m.species_data[0].data_unit}" assert ( - m.species[1].data_unit == mM - ), f"Expected mM. Got {m.species[1].data_unit}" + m.species_data[0].time_unit == s + ), f"Expected s. Got {m.species_data[0].time_unit}" assert ( - m.species[1].time_unit == s - ), f"Expected s. Got {m.species[1].time_unit}" + m.species_data[1].data_unit == mM + ), f"Expected mM. Got {m.species_data[1].data_unit}" + assert ( + m.species_data[1].time_unit == s + ), f"Expected s. Got {m.species_data[1].time_unit}" def test_excel_import(self): """Test that a Excel file can be imported to a pandas DataFrame""" @@ -96,24 +103,26 @@ def test_excel_import(self): assert len(meas) == 2, f"Expected 2 measurements. Got {len(meas)}" for m in meas: - assert len(m.species) == 2, f"Expected 2 species. Got {len(m.species)}" assert ( - len(m.species[0].time) == 11 + len(m.species_data) == 2 + ), f"Expected 2 species. Got {len(m.species_data)}" + assert ( + len(m.species_data[0].time) == 11 ), f"Expected 10 time points. Got {len(m.species[0].time)}" assert ( - len(m.species[1].time) == 11 + len(m.species_data[1].time) == 11 ), f"Expected 10 time points. Got {len(m.species[1].time)}" assert ( - m.species[0].data_unit == mM + m.species_data[0].data_unit == mM ), f"Expected mM. Got {m.species[0].data_unit}" assert ( - m.species[0].time_unit == s + m.species_data[0].time_unit == s ), f"Expected s. Got {m.species[0].time_unit}" assert ( - m.species[1].data_unit == mM + m.species_data[1].data_unit == mM ), f"Expected mM. Got {m.species[1].data_unit}" assert ( - m.species[1].time_unit == s + m.species_data[1].time_unit == s ), f"Expected s. Got {m.species[1].time_unit}" def test_invalid_types(self): From 734f84959d5bcebfc907e9c8b98cdf8ac6fc072a Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:09:26 +0200 Subject: [PATCH 037/172] remove unused imports --- pyenzyme/model.py | 1 - pyenzyme/tabular.py | 1 - 2 files changed, 2 deletions(-) diff --git a/pyenzyme/model.py b/pyenzyme/model.py index a8280e61..8a8d8479 100644 --- a/pyenzyme/model.py +++ b/pyenzyme/model.py @@ -5,7 +5,6 @@ from typing import Optional, Generic, TypeVar from enum import Enum from uuid import uuid4 -from datetime import date, datetime # Filter Wrapper definition used to filter a list of objects # based on their attributes diff --git a/pyenzyme/tabular.py b/pyenzyme/tabular.py index 16e77dfe..a712ca9a 100644 --- a/pyenzyme/tabular.py +++ b/pyenzyme/tabular.py @@ -3,7 +3,6 @@ import pathlib as pl import pandas as pd -from loguru import logger # type: ignore from .model import ( DataTypes, From df6c1afc58a8e148bed464db769fde205e5f2c8c Mon Sep 17 00:00:00 2001 From: Jan Range Date: Fri, 16 Aug 2024 16:21:53 +0200 Subject: [PATCH 038/172] remove unused `units` --- tests/unit/test_equations.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/tests/unit/test_equations.py b/tests/unit/test_equations.py index c135621c..4a1496cc 100644 --- a/tests/unit/test_equations.py +++ b/tests/unit/test_equations.py @@ -3,7 +3,6 @@ from pyenzyme.equations._chem import build_reaction, build_reactions from pyenzyme.equations._math import build_equation, build_equations from pyenzyme.model import EquationType -from pyenzyme.units import M, second class TestMathEquations: @@ -91,7 +90,6 @@ def test_multiple_equations(self): ] # Act - units = [M / second, M] equations = build_equations(*equations) # Assert From 835e2c39dbe939bd45e59f8be11c55f4b9e695ee Mon Sep 17 00:00:00 2001 From: Jan Range Date: Mon, 19 Aug 2024 21:25:20 +0200 Subject: [PATCH 039/172] update dev example --- dev-examples/odes/enzymeml.json | 537 +++++++++--------- dev-examples/odes/ode_example.omex | Bin 2426 -> 0 bytes dev-examples/odes/odes_example.omex | Bin 0 -> 2425 bytes .../odes/{sbml.xml => odes_example.xml} | 20 +- dev-examples/reactions/enzymeml.json | 460 +++++++-------- dev-examples/reactions/reactions_example.omex | Bin 2208 -> 2213 bytes .../{sbml.xml => reactions_example.xml} | 52 +- dev-examples/sbml_export_odes.py | 12 +- dev-examples/sbml_export_reactions.py | 12 +- dev-examples/sbml_import_odes.py | 9 +- dev-examples/sbml_import_reactions.py | 9 +- 11 files changed, 566 insertions(+), 545 deletions(-) delete mode 100644 dev-examples/odes/ode_example.omex create mode 100644 dev-examples/odes/odes_example.omex rename dev-examples/odes/{sbml.xml => odes_example.xml} (96%) rename dev-examples/reactions/{sbml.xml => reactions_example.xml} (87%) diff --git a/dev-examples/odes/enzymeml.json b/dev-examples/odes/enzymeml.json index e0237a0e..aa587a1f 100644 --- a/dev-examples/odes/enzymeml.json +++ b/dev-examples/odes/enzymeml.json @@ -1,8 +1,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "name": "schema:title", "references": { "@id": "schema:citation", @@ -12,7 +12,7 @@ "modified": "schema:dateModified", "creators": "schema:creator" }, - "@id": "enzml:EnzymeMLDocument/39303f02-65a0-490b-8e1d-02162fb04199", + "@id": "enzml:EnzymeMLDocument/0e46ba63-85a2-4030-ae03-9cffa8f347cd", "@type": [ "enzml:EnzymeMLDocument" ], @@ -23,8 +23,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -32,7 +32,7 @@ "name": "schema:name", "volume": "OBO:OBI_0002139" }, - "@id": "enzml:Vessel/371d000b-8c93-4abc-822b-cdc223778079", + "@id": "enzml:Vessel/fedbf6f5-4515-4868-830f-1b41033de3b8", "@type": [ "enzml:Vessel", "OBO:OBI_0400081" @@ -43,8 +43,8 @@ "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000098", "@type": [ @@ -56,10 +56,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/448808be-98aa-4393-9141-0e13050fe90a", + "@id": "enzml:BaseUnit/9f6745b1-66d0-4180-b1ac-c10cc8e87c96", "@type": [ "enzml:BaseUnit" ], @@ -76,8 +76,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@type": "@id" }, @@ -96,7 +96,7 @@ "@type": "@id" } }, - "@id": "enzml:Protein/5715b8c8-ac93-4e13-a101-3497c37dc260", + "@id": "enzml:Protein/d8bc713a-bcf5-4c24-981b-16a7baa1cc0b", "@type": [ "enzml:Protein", "schema:Protein" @@ -116,8 +116,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -127,7 +127,7 @@ "@type": "@id" } }, - "@id": "enzml:Complex/a3f08a33-46d9-4ede-87b3-72b652279876", + "@id": "enzml:Complex/ef2c11f9-4278-487e-94cc-fc94fb622a47", "@type": [ "enzml:Complex" ], @@ -144,8 +144,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -160,7 +160,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/b2d02c26-70fa-4401-b32f-76ff44b6e59a", + "@id": "enzml:SmallMolecule/58414ec1-a6f1-42dc-94e5-1380c63b20a2", "@type": [ "enzml:SmallMolecule" ], @@ -175,8 +175,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -191,7 +191,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/32b0f5f4-219d-4918-84c9-de6912f3acb6", + "@id": "enzml:SmallMolecule/9c87ae6f-44b4-44db-bd5a-e4f7b99ddd19", "@type": [ "enzml:SmallMolecule" ], @@ -209,8 +209,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -219,7 +219,7 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/fbaacff6-d90f-48e6-b16c-98c77c00d5f9", + "@id": "enzml:Measurement/0426ea51-df1f-43d8-9e12-a21f95fc9c2f", "@type": [ "enzml:Measurement" ], @@ -229,13 +229,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/bab6a019-2090-4f60-b20c-0a39d5dd2401", + "@id": "enzml:MeasurementData/f8664861-2026-4a5b-97a0-35bae4e99892", "@type": [ "enzml:MeasurementData" ], @@ -244,8 +244,8 @@ "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -257,10 +257,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/477cca4f-ec95-45a1-8c05-4578beb60b30", + "@id": "enzml:BaseUnit/1e8d1272-168b-497c-a82f-9adaf7042d23", "@type": [ "enzml:BaseUnit" ], @@ -271,10 +271,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/a045cb18-b5a9-44b1-88e2-1bb1374601d5", + "@id": "enzml:BaseUnit/7ded7917-83b4-4507-a055-ab1d19b5341b", "@type": [ "enzml:BaseUnit" ], @@ -287,8 +287,8 @@ "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000010", "@type": [ @@ -300,10 +300,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/c6ff977b-6f75-46fd-ac15-3a8c3ab4e8bd", + "@id": "enzml:BaseUnit/a2d6d606-d789-40e4-8246-0a2af736575f", "@type": [ "enzml:BaseUnit" ], @@ -345,13 +345,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/7da88045-0b0d-44a5-afe5-ef9a6002df93", + "@id": "enzml:MeasurementData/ba922ab1-567e-4cdd-a015-cb00baf1dc9a", "@type": [ "enzml:MeasurementData" ], @@ -360,8 +360,8 @@ "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -373,10 +373,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/477cca4f-ec95-45a1-8c05-4578beb60b30", + "@id": "enzml:BaseUnit/1e8d1272-168b-497c-a82f-9adaf7042d23", "@type": [ "enzml:BaseUnit" ], @@ -387,10 +387,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/a045cb18-b5a9-44b1-88e2-1bb1374601d5", + "@id": "enzml:BaseUnit/7ded7917-83b4-4507-a055-ab1d19b5341b", "@type": [ "enzml:BaseUnit" ], @@ -403,8 +403,8 @@ "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000010", "@type": [ @@ -416,10 +416,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/c6ff977b-6f75-46fd-ac15-3a8c3ab4e8bd", + "@id": "enzml:BaseUnit/a2d6d606-d789-40e4-8246-0a2af736575f", "@type": [ "enzml:BaseUnit" ], @@ -464,8 +464,8 @@ "temperature_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000012", "@type": [ @@ -477,10 +477,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/109807ff-d2fa-4eeb-a0ee-3de4930871f5", + "@id": "enzml:BaseUnit/1a31c8a4-6212-4810-804f-59c5cffd10c5", "@type": [ "enzml:BaseUnit" ], @@ -494,8 +494,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -504,7 +504,7 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/a1773c19-270a-40e2-848c-d74cd98fa03c", + "@id": "enzml:Measurement/d81322ba-5094-446e-b224-4795ff25615a", "@type": [ "enzml:Measurement" ], @@ -514,13 +514,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/a5a649d1-6bdb-4a1e-a9fb-d49ec9c3efac", + "@id": "enzml:MeasurementData/2c021e30-5731-4893-baf4-f337b46a51ca", "@type": [ "enzml:MeasurementData" ], @@ -529,8 +529,8 @@ "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -542,10 +542,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/477cca4f-ec95-45a1-8c05-4578beb60b30", + "@id": "enzml:BaseUnit/1e8d1272-168b-497c-a82f-9adaf7042d23", "@type": [ "enzml:BaseUnit" ], @@ -556,10 +556,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/a045cb18-b5a9-44b1-88e2-1bb1374601d5", + "@id": "enzml:BaseUnit/7ded7917-83b4-4507-a055-ab1d19b5341b", "@type": [ "enzml:BaseUnit" ], @@ -572,8 +572,8 @@ "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000010", "@type": [ @@ -585,10 +585,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/c6ff977b-6f75-46fd-ac15-3a8c3ab4e8bd", + "@id": "enzml:BaseUnit/a2d6d606-d789-40e4-8246-0a2af736575f", "@type": [ "enzml:BaseUnit" ], @@ -630,13 +630,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/bb46ba43-287b-49d8-bc16-51cd806cc7ed", + "@id": "enzml:MeasurementData/458293b5-22ca-41c2-9b25-0f98c05ce480", "@type": [ "enzml:MeasurementData" ], @@ -645,8 +645,8 @@ "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -658,10 +658,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/477cca4f-ec95-45a1-8c05-4578beb60b30", + "@id": "enzml:BaseUnit/1e8d1272-168b-497c-a82f-9adaf7042d23", "@type": [ "enzml:BaseUnit" ], @@ -672,10 +672,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/a045cb18-b5a9-44b1-88e2-1bb1374601d5", + "@id": "enzml:BaseUnit/7ded7917-83b4-4507-a055-ab1d19b5341b", "@type": [ "enzml:BaseUnit" ], @@ -688,8 +688,8 @@ "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000010", "@type": [ @@ -701,10 +701,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/c6ff977b-6f75-46fd-ac15-3a8c3ab4e8bd", + "@id": "enzml:BaseUnit/a2d6d606-d789-40e4-8246-0a2af736575f", "@type": [ "enzml:BaseUnit" ], @@ -749,8 +749,8 @@ "temperature_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000012", "@type": [ @@ -762,10 +762,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/109807ff-d2fa-4eeb-a0ee-3de4930871f5", + "@id": "enzml:BaseUnit/1a31c8a4-6212-4810-804f-59c5cffd10c5", "@type": [ "enzml:BaseUnit" ], @@ -781,13 +781,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:Equation/1f92428c-cb1a-4d9f-a8cb-3414e7e87049", + "@id": "enzml:Equation/07b5e8fb-729c-4e1d-892e-46be9e9e6d56", "@type": [ "enzml:Equation" ], @@ -798,11 +798,11 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": "schema:identifier" }, - "@id": "enzml:Variable/6a1e9596-a851-467f-aac8-b12595a94856", + "@id": "enzml:Variable/edde9e7a-ce67-4af4-8788-0f96716d0e85", "@type": [ "enzml:Variable" ], @@ -810,209 +810,208 @@ "name": "s0", "symbol": "s0" } + ] + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@type": "@id" + } + }, + "@id": "enzml:Equation/77814fb8-a848-4759-8354-32a9f7a19a49", + "@type": [ + "enzml:Equation" ], - "parameters": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - } - }, - "@id": "enzml:Parameter/49b1a46d-7cc6-436c-b57f-d17a44d980b9", - "@type": [ - "enzml:Parameter" - ], - "id": "K_m", - "name": "K_m", - "symbol": "K_m", - "unit": { + "equation": "100", + "equation_type": "initialAssignment", + "species_id": "E_tot", + "variables": [] + } + ], + "parameters": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + } + }, + "@id": "enzml:Parameter/8bd75c32-151d-4a05-9e36-be114db34334", + "@type": [ + "enzml:Parameter" + ], + "id": "E_tot", + "name": "E_tot", + "symbol": "E_tot", + "unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000063", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u2", + "name": "mmol / l", + "base_units": [ + { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "OBO:UO_0000063", + "@id": "enzml:BaseUnit/1e8d1272-168b-497c-a82f-9adaf7042d23", "@type": [ - "OBO:UO_0000000" + "enzml:BaseUnit" ], - "id": "u2", - "name": "mmol / l", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/477cca4f-ec95-45a1-8c05-4578beb60b30", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "mole", - "exponent": 1, - "scale": -3.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/a045cb18-b5a9-44b1-88e2-1bb1374601d5", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "litre", - "exponent": -1, - "scale": 1.0 - } - ] - }, - "upper": 100.0, - "lower": 0.0, - "stderr": 0.1, - "constant": true - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - } + "kind": "mole", + "exponent": 1, + "scale": -3.0 }, - "@id": "enzml:Parameter/71b45227-a2a7-4e0c-a273-9ef99dbcab1a", - "@type": [ - "enzml:Parameter" - ], - "id": "E_tot", - "name": "E_tot", - "symbol": "E_tot", - "unit": { + { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "OBO:UO_0000063", + "@id": "enzml:BaseUnit/7ded7917-83b4-4507-a055-ab1d19b5341b", "@type": [ - "OBO:UO_0000000" + "enzml:BaseUnit" ], - "id": "u2", - "name": "mmol / l", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/477cca4f-ec95-45a1-8c05-4578beb60b30", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "mole", - "exponent": 1, - "scale": -3.0 - }, - { - 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b/dev-examples/reactions/enzymeml.json @@ -1,8 +1,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "name": "schema:title", "references": { "@id": "schema:citation", @@ -12,7 +12,7 @@ "modified": "schema:dateModified", "creators": "schema:creator" }, - "@id": "enzml:EnzymeMLDocument/4cc6b230-1ca7-4b01-acfe-34ca8a8c8b03", + "@id": "enzml:EnzymeMLDocument/ade60195-1a49-4643-9a7f-a3f4569e080f", "@type": [ "enzml:EnzymeMLDocument" ], @@ -23,8 +23,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -32,7 +32,7 @@ "name": "schema:name", "volume": "OBO:OBI_0002139" }, - "@id": "enzml:Vessel/040a3842-d40e-44e8-a32d-19d830c8572c", + "@id": "enzml:Vessel/dca62013-0979-400d-9390-6d3fc9992b3b", "@type": [ "enzml:Vessel", "OBO:OBI_0400081" @@ -43,8 +43,8 @@ "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000098", "@type": [ @@ -56,10 +56,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/dfeb036d-92c6-4067-8eb9-36370cff8244", + "@id": "enzml:BaseUnit/48e1f6d3-a632-49ab-9373-ced5416b3ee8", "@type": [ "enzml:BaseUnit" ], @@ -76,8 +76,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@type": "@id" }, @@ -96,7 +96,7 @@ "@type": "@id" } }, - "@id": "enzml:Protein/d24ac8cf-2118-4bc4-b32f-8dbe37a00aa4", + "@id": "enzml:Protein/da73d1bd-7ba7-4a21-916a-83804274eb57", "@type": [ "enzml:Protein", "schema:Protein" @@ -114,8 +114,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -130,7 +130,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/4430bc12-a97a-4a8c-a753-59d62b8d5be1", + "@id": "enzml:SmallMolecule/2d890949-ba88-418d-8b83-9a689073638b", "@type": [ "enzml:SmallMolecule" ], @@ -143,8 +143,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -159,7 +159,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/54498f68-5ca7-4515-a8a0-20bff1da321d", + "@id": "enzml:SmallMolecule/5c1da8cc-8b2d-4cfd-bbab-9cc7ce0c716f", "@type": [ "enzml:SmallMolecule" ], @@ -174,8 +174,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -184,7 +184,7 @@ "@type": "@id" } }, - "@id": "enzml:Reaction/bdbaa018-4f0c-44a8-a67b-ae88e294dd20", + "@id": "enzml:Reaction/d4de1855-14c4-4704-9b13-139c0ecf38ae", "@type": [ "enzml:Reaction" ], @@ -194,13 +194,13 @@ "kinetic_law": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:Equation/add0038a-e325-454e-8ff6-a7ab5ece87fe", + "@id": "enzml:Equation/9689876c-204c-4840-9703-5521c06767aa", "@type": [ "enzml:Equation" ], @@ -210,150 +210,32 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", - "id": "schema:identifier" - }, - "@id": "enzml:Variable/c53d54fe-9297-4f3c-980b-25bea0734058", - "@type": [ - "enzml:Variable" - ], - "id": "p0", - "name": "p0", - "symbol": "p0" - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", "id": "schema:identifier" }, - "@id": "enzml:Variable/e0be55cb-1f6e-4933-a400-d2ef9db25329", + "@id": "enzml:Variable/5f07e8be-4726-49cb-b6cd-6569dcdf12d0", "@type": [ "enzml:Variable" ], "id": "s0", "name": "s0", "symbol": "s0" - } - ], - "parameters": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - } - }, - "@id": "enzml:Parameter/1e6d62f9-49b9-4aad-be74-490c6e9d6f7a", - "@type": [ - "enzml:Parameter" - ], - "id": "K_m", - "name": "K_m", - "symbol": "K_m", - "unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000063", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u1", - "name": "mmol / l", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/38393576-f6dd-4f90-8528-3a75ea49d1d4", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "mole", - "exponent": 1, - "scale": -3.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/31c7d1bf-d71b-4b66-8a47-93d3e7711d47", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "litre", - "exponent": -1, - "scale": 1.0 - } - ] - }, - "upper": 100.0, - "lower": 0.0, - "stderr": 0.1, - "constant": true }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - } + "schema": "https://schema.org/", + "id": "schema:identifier" }, - "@id": "enzml:Parameter/c39f3e34-c4da-4a47-b82a-43d9ba2be5bf", + "@id": "enzml:Variable/aedb0ffd-b477-4b67-9d35-aa9439acf7bd", "@type": [ - "enzml:Parameter" + "enzml:Variable" ], - "id": "kcat", - "name": "kcat", - "symbol": "kcat", - "unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000010", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u2", - "name": "1 / s", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/ffb7a3e9-4bb5-4d6c-858c-3ab6d953f9a4", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "second", - "exponent": -1, - "scale": 1.0 - } - ] - }, - "upper": 100.0, - "lower": 0.0, - "stderr": 0.1, - "constant": true + "id": "p0", + "name": "p0", + "symbol": "p0" } ] }, @@ -361,13 +243,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:ReactionElement/cb145bd9-0333-435e-ab2b-eb0f3f6bb9c0", + "@id": "enzml:ReactionElement/87493c81-5b1b-48de-b4fb-0767eb92d6dc", "@type": [ "enzml:ReactionElement" ], @@ -377,13 +259,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:ReactionElement/ac29c50c-2818-400a-ae93-49a09f381ecb", + "@id": "enzml:ReactionElement/e7136ffc-32f0-4f42-a9d8-12178e80a1c4", "@type": [ "enzml:ReactionElement" ], @@ -400,8 +282,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -410,7 +292,7 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/391ac5d7-b284-4f58-845f-10b65ec65c29", + "@id": "enzml:Measurement/15937ee7-49ee-4db5-a52a-3f2eb816a24d", "@type": [ "enzml:Measurement" ], @@ -420,13 +302,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/644d3f4c-eab7-49c4-9e0a-e4c4267bfcdb", + "@id": "enzml:MeasurementData/716ac22f-a04a-477f-9a79-90d39024b2b7", "@type": [ "enzml:MeasurementData" ], @@ -435,8 +317,8 @@ "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -448,10 +330,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/38393576-f6dd-4f90-8528-3a75ea49d1d4", + "@id": "enzml:BaseUnit/59cd6067-66c0-4ab7-9b9b-c4d66bd6990e", "@type": [ "enzml:BaseUnit" ], @@ -462,10 +344,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/31c7d1bf-d71b-4b66-8a47-93d3e7711d47", + "@id": "enzml:BaseUnit/d21d0a9e-c232-493b-8cd6-fa919d767854", "@type": [ "enzml:BaseUnit" ], @@ -478,23 +360,23 @@ "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000010", "@type": [ "OBO:UO_0000000" ], - "id": "u3", + "id": "u2", "name": "s", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/ffb7a3e9-4bb5-4d6c-858c-3ab6d953f9a4", + "@id": "enzml:BaseUnit/e904e3f6-02be-4ba1-b206-4cdcb6baf65e", "@type": [ "enzml:BaseUnit" ], @@ -536,13 +418,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/3eda7daf-6707-448f-bee3-c1d194459b9b", + "@id": "enzml:MeasurementData/e670be98-5438-450f-8c23-4db3234d353d", "@type": [ "enzml:MeasurementData" ], @@ -551,8 +433,8 @@ "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -564,10 +446,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/38393576-f6dd-4f90-8528-3a75ea49d1d4", + "@id": "enzml:BaseUnit/59cd6067-66c0-4ab7-9b9b-c4d66bd6990e", "@type": [ "enzml:BaseUnit" ], @@ -578,10 +460,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/31c7d1bf-d71b-4b66-8a47-93d3e7711d47", + "@id": "enzml:BaseUnit/d21d0a9e-c232-493b-8cd6-fa919d767854", "@type": [ "enzml:BaseUnit" ], @@ -594,23 +476,23 @@ "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000010", "@type": [ "OBO:UO_0000000" ], - "id": "u3", + "id": "u2", "name": "s", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/ffb7a3e9-4bb5-4d6c-858c-3ab6d953f9a4", + "@id": "enzml:BaseUnit/e904e3f6-02be-4ba1-b206-4cdcb6baf65e", "@type": [ "enzml:BaseUnit" ], @@ -655,23 +537,23 @@ "temperature_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000012", "@type": [ "OBO:UO_0000000" ], - "id": "u4", + "id": "u3", "name": "K", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/839c0ac5-eec5-40ec-9c76-e25d735f065d", + "@id": "enzml:BaseUnit/ab4850f1-0470-4a6b-ba15-ab2edde18918", "@type": [ "enzml:BaseUnit" ], @@ -685,8 +567,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -695,7 +577,7 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/5b279983-6b56-4c70-a807-282808973cc4", + "@id": "enzml:Measurement/3210b5eb-ff4f-4c0b-85a2-c6669a5fea0b", "@type": [ "enzml:Measurement" ], @@ -705,13 +587,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/45637267-987f-4b11-a89f-e26643eaff60", + "@id": "enzml:MeasurementData/bdc0afb1-cfed-4c2e-8a42-93ac613638a9", "@type": [ "enzml:MeasurementData" ], @@ -720,8 +602,8 @@ "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -733,10 +615,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/38393576-f6dd-4f90-8528-3a75ea49d1d4", + "@id": "enzml:BaseUnit/59cd6067-66c0-4ab7-9b9b-c4d66bd6990e", "@type": [ "enzml:BaseUnit" ], @@ -747,10 +629,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/31c7d1bf-d71b-4b66-8a47-93d3e7711d47", + "@id": "enzml:BaseUnit/d21d0a9e-c232-493b-8cd6-fa919d767854", "@type": [ "enzml:BaseUnit" ], @@ -763,23 +645,23 @@ "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000010", "@type": [ "OBO:UO_0000000" ], - "id": "u3", + "id": "u2", "name": "s", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/ffb7a3e9-4bb5-4d6c-858c-3ab6d953f9a4", + "@id": "enzml:BaseUnit/e904e3f6-02be-4ba1-b206-4cdcb6baf65e", "@type": [ "enzml:BaseUnit" ], @@ -821,13 +703,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/42f843c5-4042-4f22-a076-5626b86444c7", + "@id": "enzml:MeasurementData/8b5da426-824b-40e5-8574-8b390f02ec5a", "@type": [ "enzml:MeasurementData" ], @@ -836,8 +718,8 @@ "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -849,10 +731,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/38393576-f6dd-4f90-8528-3a75ea49d1d4", + "@id": "enzml:BaseUnit/59cd6067-66c0-4ab7-9b9b-c4d66bd6990e", "@type": [ "enzml:BaseUnit" ], @@ -863,10 +745,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/31c7d1bf-d71b-4b66-8a47-93d3e7711d47", + "@id": "enzml:BaseUnit/d21d0a9e-c232-493b-8cd6-fa919d767854", "@type": [ "enzml:BaseUnit" ], @@ -879,23 +761,23 @@ "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000010", "@type": [ "OBO:UO_0000000" ], - "id": "u3", + "id": "u2", "name": "s", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/ffb7a3e9-4bb5-4d6c-858c-3ab6d953f9a4", + "@id": "enzml:BaseUnit/e904e3f6-02be-4ba1-b206-4cdcb6baf65e", "@type": [ "enzml:BaseUnit" ], @@ -940,23 +822,23 @@ "temperature_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, "@id": "OBO:UO_0000012", "@type": [ "OBO:UO_0000000" ], - "id": "u4", + "id": "u3", "name": "K", "base_units": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/839c0ac5-eec5-40ec-9c76-e25d735f065d", + "@id": "enzml:BaseUnit/ab4850f1-0470-4a6b-ba15-ab2edde18918", "@type": [ "enzml:BaseUnit" ], @@ -968,5 +850,123 @@ } } ], - "equations": [] + "equations": [], + "parameters": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + } + }, + "@id": "enzml:Parameter/48cdca34-78ee-4169-a143-18d602d59b33", + "@type": [ + "enzml:Parameter" + ], + "id": "kcat", + "name": "kcat", + "symbol": "kcat", + "unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000010", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u4", + "name": "1 / s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/e904e3f6-02be-4ba1-b206-4cdcb6baf65e", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "upper": 100.0, + "lower": 0.0, + "stderr": 0.1, + "constant": true + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + } + }, + "@id": "enzml:Parameter/ce20d881-741f-4f48-ad4e-e62daf7c9bf5", + "@type": [ + "enzml:Parameter" + ], + "id": "K_m", + "name": "K_m", + "symbol": "K_m", + "unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "OBO:UO_0000063", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u1", + "name": "mmol / l", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/59cd6067-66c0-4ab7-9b9b-c4d66bd6990e", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "mole", + "exponent": 1, + "scale": -3.0 + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + "@id": "enzml:BaseUnit/d21d0a9e-c232-493b-8cd6-fa919d767854", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "litre", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "upper": 100.0, + "lower": 0.0, + "stderr": 0.1, + "constant": true + } + ] } \ No newline at end of file diff --git a/dev-examples/reactions/reactions_example.omex 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b/dev-examples/reactions/reactions_example.xml similarity index 87% rename from dev-examples/reactions/sbml.xml rename to dev-examples/reactions/reactions_example.xml index a2e7c741..529898c2 100644 --- a/dev-examples/reactions/sbml.xml +++ b/dev-examples/reactions/reactions_example.xml @@ -2,22 +2,22 @@ - - + + - + - - + + - + - + - - + + @@ -47,7 +47,7 @@ - + @@ -56,31 +56,31 @@ - + - + - + - + - + - + - + @@ -88,7 +88,7 @@ - + Vessel 1 10.0 @@ -102,7 +102,7 @@ - + Enzyme MTEY @@ -117,7 +117,7 @@ - + Substrate @@ -127,7 +127,7 @@ - + Product @@ -136,10 +136,10 @@ - + - + @@ -150,10 +150,10 @@ - + - + @@ -179,8 +179,8 @@ - + diff --git a/dev-examples/sbml_export_odes.py b/dev-examples/sbml_export_odes.py index 034e9d0f..11e3b57e 100644 --- a/dev-examples/sbml_export_odes.py +++ b/dev-examples/sbml_export_odes.py @@ -51,6 +51,7 @@ "s1'(t) = kcat * E_tot * s0(t) / (K_m + s0(t))", "E_tot = 100", unit_mapping={"kcat": 1 / s, "K_m": mM, "E_tot": mM}, + enzmldoc=doc, ) doc.measurements += pe.read_excel( @@ -69,5 +70,12 @@ meas.temperature_unit = K meas.ph = 7.0 -to_sbml(doc, out="./dev-examples/odes/ode_example.omex") -pe.write_enzymeml(doc=doc, path="./dev-examples/odes/enzymeml.json") +# Write sbml doc to file +with open("./dev-examples/odes/odes_example.xml", "w") as file: + file.write(to_sbml(doc)[0]) + +# Write to omex file +doc.to_sbml("./dev-examples/odes/odes_example.omex") + +# Write to EnzymeML JSON file +pe.write_enzymeml(self=doc, path="./dev-examples/odes/enzymeml.json") diff --git a/dev-examples/sbml_export_reactions.py b/dev-examples/sbml_export_reactions.py index 030aa9d1..fc4c3c33 100644 --- a/dev-examples/sbml_export_reactions.py +++ b/dev-examples/sbml_export_reactions.py @@ -32,6 +32,7 @@ reaction.kinetic_law = peq.build_equation( "kcat * p0(t) * s0(t) / ( K_m + s0(t) )", unit_mapping={"kcat": 1 / s, "K_m": mM}, + enzmldoc=doc, ) doc.reactions += [reaction] @@ -52,5 +53,12 @@ meas.temperature_unit = K meas.ph = 7.0 -to_sbml(doc, out="./dev-examples/reactions/reactions_example.omex") -pe.write_enzymeml(doc=doc, path="./dev-examples/reactions/enzymeml.json") +# Write sbml doc to file +with open("./dev-examples/reactions/reactions_example.xml", "w") as file: + file.write(to_sbml(doc)[0]) + +# Write to omex file +doc.to_sbml("./dev-examples/reactions/reactions_example.omex") + +# Write to EnzymeML JSON file +pe.write_enzymeml(self=doc, path="./dev-examples/reactions/enzymeml.json") diff --git a/dev-examples/sbml_import_odes.py b/dev-examples/sbml_import_odes.py index a78dfcf3..e2aeaccd 100644 --- a/dev-examples/sbml_import_odes.py +++ b/dev-examples/sbml_import_odes.py @@ -2,8 +2,11 @@ import rich -from pyenzyme.sbml import read_sbml +import pyenzyme as pe +from pyenzyme.tools import to_dict_wo_json_ld -doc = read_sbml(Path("./dev-examples/odes/ode_example.omex")) +doc = pe.EnzymeMLDocument.from_sbml( + path=Path("./dev-examples/reactions/reactions_example.omex") +) -rich.print(doc) +rich.print(to_dict_wo_json_ld(doc)) diff --git a/dev-examples/sbml_import_reactions.py b/dev-examples/sbml_import_reactions.py index 8c47df7a..e2aeaccd 100644 --- a/dev-examples/sbml_import_reactions.py +++ b/dev-examples/sbml_import_reactions.py @@ -2,8 +2,11 @@ import rich -from pyenzyme.sbml import read_sbml +import pyenzyme as pe +from pyenzyme.tools import to_dict_wo_json_ld -doc = read_sbml(Path("./dev-examples/reactions/reactions_example.omex")) +doc = pe.EnzymeMLDocument.from_sbml( + path=Path("./dev-examples/reactions/reactions_example.omex") +) -rich.print(doc) +rich.print(to_dict_wo_json_ld(doc)) From 978e100ef734f5a6d06361aeba2268d736f0c36c Mon Sep 17 00:00:00 2001 From: Jan Range Date: Mon, 19 Aug 2024 21:25:39 +0200 Subject: [PATCH 040/172] attach readers and writers to model class --- pyenzyme/__init__.py | 25 ++++++++++++++++++------- 1 file changed, 18 insertions(+), 7 deletions(-) diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index 5006ef40..2dee72ed 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -1,28 +1,32 @@ from __future__ import annotations import json -from rich import print from pathlib import Path +from rich import print + from .model import * # noqa: F403 -from .sbml import to_sbml # noqa: F401 +from .sbml import to_sbml, read_sbml # noqa: F401 from .tabular import to_pandas, read_csv, read_excel # noqa: F401 __all__ = [ - "load_enzymeml", + "read_enzymeml", "write_enzymeml", "to_sbml", "to_pandas", ] -def load_enzymeml(path: str) -> EnzymeMLDocument: # noqa: F405 +def read_enzymeml(cls, path: str) -> EnzymeMLDocument: # noqa: F405 with open(path) as f: - return EnzymeMLDocument.model_validate_json(f.read()) # noqa: F405 + return cls.model_validate_json(f.read()) # noqa: F405 -def write_enzymeml(doc: EnzymeMLDocument, path: Path | str | None = None): # noqa: F405 - data = json.loads(doc.model_dump_json(exclude_none=True, by_alias=True)) +def write_enzymeml( + self: EnzymeMLDocument, # noqa: F405 + path: Path | str | None = None, # noqa: F405 +): # noqa: F405 + data = json.loads(self.model_dump_json(exclude_none=True, by_alias=True)) data = json.dumps(sort_by_ld(data), indent=2) if path is None: @@ -39,6 +43,13 @@ def write_enzymeml(doc: EnzymeMLDocument, path: Path | str | None = None): # no print(f"\n EnzymeML document written to [green][bold]{path}[/bold][/green]\n") +# Add these methods to the EnzymeMLDocument class +EnzymeMLDocument.read = classmethod(read_enzymeml) # noqa: F405 +EnzymeMLDocument.write = write_enzymeml # noqa: F405 +EnzymeMLDocument.from_sbml = classmethod(read_sbml) # noqa: F405 +EnzymeMLDocument.to_sbml = to_sbml # noqa: F405 + + def sort_by_ld(d: dict) -> dict: keys = sorted(d.keys(), key=_pattern) data = {} From ec497a5f436afb48d5553be8e33abdb92377c0e2 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Mon, 19 Aug 2024 21:26:00 +0200 Subject: [PATCH 041/172] add parameters to enzmldoc --- pyenzyme/equations/_math.py | 67 +++++++++++++++++-------------------- 1 file changed, 31 insertions(+), 36 deletions(-) diff --git a/pyenzyme/equations/_math.py b/pyenzyme/equations/_math.py index 9c3f264d..5108368a 100644 --- a/pyenzyme/equations/_math.py +++ b/pyenzyme/equations/_math.py @@ -25,12 +25,14 @@ def build_equations( *equations: str, unit_mapping: dict[str, UnitDefinition] | None = None, + enzmldoc: EnzymeMLDocument, ) -> list[Equation]: """Builds a list of Equation objects from a list of string representations. Args: *equations (list[str]): A list of string representations of the ODEs unit_mapping: A dictionary mapping parameter names to their respective + enzmldoc (EnzymeMLDocument): The EnzymeMLDocument to add the parameters to Returns: list[ODE]: A list of ODE objects @@ -44,11 +46,19 @@ def build_equations( assert all(isinstance(eq, str) for eq in equations), "All equations must be strings" - return [build_equation(eq, unit_mapping) for eq in equations] # type: ignore + return [ + build_equation( + equation=eq, + unit_mapping=unit_mapping, + enzmldoc=enzmldoc, + ) + for eq in equations + ] # type: ignore def build_equation( equation: str, + enzmldoc: EnzymeMLDocument, unit_mapping: dict[str, UnitDefinition] | None = None, ) -> Equation: """Builds an equation object from a string @@ -60,6 +70,7 @@ def build_equation( Args: equation (str): The equation to be converted into an ODE object unit_mapping: A dictionary mapping parameter names to their respective units + enzmldoc (EnzymeMLDocument): The EnzymeMLDocument to add the parameters to Returns: ODE: The ODE object @@ -111,16 +122,16 @@ def build_equation( equation=str(right), variables=[_create_variable(name) for name in variables], equation_type=equation_type, - parameters=[ - _create_parameter(name, unit_mapping.get(name)) for name in parameters - ], ) - # Left out for now, but could be re-used by decision upon change to include - # parameters on the top-level document. - # if enzmldoc: - # [_add_to_parameters(enzmldoc, param.name, param.id) for param in eq.parameters] - # _add_units_to_parameters(enzmldoc, unit_mapping) + [ + _add_to_parameters( + enzmldoc, + param, + unit_mapping.get(param), + ) + for param in parameters + ] return eq @@ -158,38 +169,22 @@ def _create_variable(name: str) -> Variable: return Variable(id=name, name=name, symbol=name) -def _add_to_parameters(enzmldoc: EnzymeMLDocument, name: str, id: str): +def _add_to_parameters( + enzmldoc: EnzymeMLDocument, + name: str, + unit: UnitDefinition, +): """Adds a parameter to the EnzymeMLDocument""" add_logger("ENZML") if enzmldoc.filter_parameters(name=name): logger.info(f"Parameter {name} already exists in EnzymeMLDocument. Skipping...") - return - enzmldoc.add_to_parameters(name=name, id=name) # type: ignore - - -def _add_units_to_parameters( - doc: EnzymeMLDocument, - unit_mapping: dict[str, UnitDefinition], -): - """Adds units to the parameters in the EnzymeMLDocument""" - - add_logger("ENZML") - - has_error = False - - for param, unit in unit_mapping.items(): - if unit.__class__.__name__ != "UnitDefinition": - logger.error(f"Unit {unit} is not a UnitDefinition object. Skipping...") - has_error = True - continue - - doc.filter_parameters(name=param)[0].unit = unit - - if has_error: - raise ValueError( - "Assigning units to parameters failed. Check the logs for more info." - ) + enzmldoc.add_to_parameters( + name=name, + id=name, + symbol=name, + unit=unit, + ) # type: ignore From 165eeec06105e61bf07d602b477ef905e38a2a95 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Mon, 19 Aug 2024 21:26:07 +0200 Subject: [PATCH 042/172] move params to root --- pyenzyme/model.py | 714 ++++++++++++++++++++-------------------------- 1 file changed, 311 insertions(+), 403 deletions(-) diff --git a/pyenzyme/model.py b/pyenzyme/model.py index 8a8d8479..7a48ec10 100644 --- a/pyenzyme/model.py +++ b/pyenzyme/model.py @@ -1,15 +1,18 @@ ## This is a generated file. Do not modify it manually! from __future__ import annotations -from pydantic import BaseModel, Field, ConfigDict -from typing import Optional, Generic, TypeVar + from enum import Enum +from typing import Optional, Generic, TypeVar from uuid import uuid4 +from pydantic import BaseModel, Field, ConfigDict + # Filter Wrapper definition used to filter a list of objects # based on their attributes Cls = TypeVar("Cls") + class FilterWrapper(Generic[Cls]): """Wrapper class to filter a list of objects based on their attributes""" @@ -46,7 +49,8 @@ def add_namespace(obj, prefix: str | None, iri: str | None): elif iri and prefix is None: raise ValueError("If iri is provided, prefix must also be provided") - obj.ld_context[prefix] = iri # type: ignore + obj.ld_context[prefix] = iri # type: ignore + def validate_prefix(term: str | dict, prefix: str): """Validates that a term is prefixed with a given prefix @@ -64,13 +68,14 @@ def validate_prefix(term: str | dict, prefix: str): elif isinstance(term, str) and not term.startswith(prefix + ":"): raise ValueError(f"Term {term} is not prefixed with {prefix}") + # Model Definitions -class EnzymeMLDocument(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore +class EnzymeMLDocument(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore name: str references: list[str] = Field(default_factory=list) @@ -84,24 +89,25 @@ class EnzymeMLDocument(BaseModel): reactions: list[Reaction] = Field(default_factory=list) measurements: list[Measurement] = Field(default_factory=list) equations: list[Equation] = Field(default_factory=list) + parameters: list[Parameter] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()) + default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:EnzymeMLDocument", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "name": "schema:title", "references": { "@id": "schema:citation", @@ -110,7 +116,7 @@ class EnzymeMLDocument(BaseModel): "created": "schema:dateCreated", "modified": "schema:dateModified", "creators": "schema:creator", - } + }, ) def filter_creators(self, **kwargs) -> list[Creator]: @@ -209,13 +215,24 @@ def filter_equations(self, **kwargs) -> list[Equation]: return FilterWrapper[Equation](self.equations, **kwargs).filter() + def filter_parameters(self, **kwargs) -> list[Parameter]: + """Filters the parameters attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Parameter]: The filtered list of Parameter objects + """ + + return FilterWrapper[Parameter](self.parameters, **kwargs).filter() def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -237,7 +254,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -246,10 +265,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -276,7 +292,6 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_creators( self, given_name: str, @@ -284,29 +299,22 @@ def add_to_creators( mail: str, **kwargs, ): - params = { - "given_name": given_name, - "family_name": family_name, - "mail": mail - } + params = {"given_name": given_name, "family_name": family_name, "mail": mail} if "id" in kwargs: params["id"] = kwargs["id"] - self.creators.append( - Creator(**params) - ) + self.creators.append(Creator(**params)) return self.creators[-1] - def add_to_vessels( self, id: str, name: str, volume: float, unit: UnitDefinition, - constant: bool= True, + constant: bool = True, **kwargs, ): params = { @@ -314,30 +322,27 @@ def add_to_vessels( "name": name, "volume": volume, "unit": unit, - "constant": constant + "constant": constant, } if "id" in kwargs: params["id"] = kwargs["id"] - self.vessels.append( - Vessel(**params) - ) + self.vessels.append(Vessel(**params)) return self.vessels[-1] - def add_to_proteins( self, id: str, name: str, - constant: bool= False, - sequence: Optional[str]= None, - vessel_id: Optional[str]= None, - ecnumber: Optional[str]= None, - organism: Optional[str]= None, - organism_tax_id: Optional[str]= None, - references: list[str]= [], + constant: bool = False, + sequence: Optional[str] = None, + vessel_id: Optional[str] = None, + ecnumber: Optional[str] = None, + organism: Optional[str] = None, + organism_tax_id: Optional[str] = None, + references: list[str] = [], **kwargs, ): params = { @@ -349,54 +354,48 @@ def add_to_proteins( "ecnumber": ecnumber, "organism": organism, "organism_tax_id": organism_tax_id, - "references": references + "references": references, } if "id" in kwargs: params["id"] = kwargs["id"] - self.proteins.append( - Protein(**params) - ) + self.proteins.append(Protein(**params)) return self.proteins[-1] - def add_to_complexes( self, id: str, name: str, - constant: bool= False, - participants: list[str]= [], + constant: bool = False, + participants: list[str] = [], **kwargs, ): params = { "id": id, "name": name, "constant": constant, - "participants": participants + "participants": participants, } if "id" in kwargs: params["id"] = kwargs["id"] - self.complexes.append( - Complex(**params) - ) + self.complexes.append(Complex(**params)) return self.complexes[-1] - def add_to_small_molecules( self, id: str, name: str, - constant: bool= False, - vessel_id: Optional[str]= None, - canonical_smiles: Optional[str]= None, - inchi: Optional[str]= None, - inchikey: Optional[str]= None, - references: list[str]= [], + constant: bool = False, + vessel_id: Optional[str] = None, + canonical_smiles: Optional[str] = None, + inchi: Optional[str] = None, + inchikey: Optional[str] = None, + references: list[str] = [], **kwargs, ): params = { @@ -407,27 +406,24 @@ def add_to_small_molecules( "canonical_smiles": canonical_smiles, "inchi": inchi, "inchikey": inchikey, - "references": references + "references": references, } if "id" in kwargs: params["id"] = kwargs["id"] - self.small_molecules.append( - SmallMolecule(**params) - ) + self.small_molecules.append(SmallMolecule(**params)) return self.small_molecules[-1] - def add_to_reactions( self, id: str, name: str, - reversible: bool= False, - kinetic_law: Optional[Equation]= None, - species: list[ReactionElement]= [], - modifiers: list[str]= [], + reversible: bool = False, + kinetic_law: Optional[Equation] = None, + species: list[ReactionElement] = [], + modifiers: list[str] = [], **kwargs, ): params = { @@ -436,28 +432,25 @@ def add_to_reactions( "reversible": reversible, "kinetic_law": kinetic_law, "species": species, - "modifiers": modifiers + "modifiers": modifiers, } if "id" in kwargs: params["id"] = kwargs["id"] - self.reactions.append( - Reaction(**params) - ) + self.reactions.append(Reaction(**params)) return self.reactions[-1] - def add_to_measurements( self, id: str, name: str, - species_data: list[MeasurementData]= [], - group_id: Optional[str]= None, - ph: Optional[float]= None, - temperature: Optional[float]= None, - temperature_unit: Optional[UnitDefinition]= None, + species_data: list[MeasurementData] = [], + group_id: Optional[str] = None, + ph: Optional[float] = None, + temperature: Optional[float] = None, + temperature_unit: Optional[UnitDefinition] = None, **kwargs, ): params = { @@ -467,26 +460,22 @@ def add_to_measurements( "group_id": group_id, "ph": ph, "temperature": temperature, - "temperature_unit": temperature_unit + "temperature_unit": temperature_unit, } if "id" in kwargs: params["id"] = kwargs["id"] - self.measurements.append( - Measurement(**params) - ) + self.measurements.append(Measurement(**params)) return self.measurements[-1] - def add_to_equations( self, equation: str, equation_type: EquationType, - species_id: Optional[str]= None, - variables: list[Variable]= [], - parameters: list[Parameter]= [], + species_id: Optional[str] = None, + variables: list[Variable] = [], **kwargs, ): params = { @@ -494,23 +483,54 @@ def add_to_equations( "equation_type": equation_type, "species_id": species_id, "variables": variables, - "parameters": parameters } if "id" in kwargs: params["id"] = kwargs["id"] - self.equations.append( - Equation(**params) - ) + self.equations.append(Equation(**params)) return self.equations[-1] -class Creator(BaseModel): + def add_to_parameters( + self, + id: str, + name: str, + symbol: str, + value: Optional[float] = None, + unit: Optional[UnitDefinition] = None, + initial_value: Optional[float] = None, + upper: Optional[float] = None, + lower: Optional[float] = None, + stderr: Optional[float] = None, + constant: Optional[bool] = True, + **kwargs, + ): + params = { + "id": id, + "name": name, + "symbol": symbol, + "value": value, + "unit": unit, + "initial_value": initial_value, + "upper": upper, + "lower": lower, + "stderr": stderr, + "constant": constant, + } + + if "id" in kwargs: + params["id"] = kwargs["id"] - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + self.parameters.append(Parameter(**params)) + + return self.parameters[-1] + + +class Creator(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore given_name: str family_name: str @@ -519,33 +539,30 @@ class Creator(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Creator/" + str(uuid4()) + default_factory=lambda: "enzml:Creator/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ - "enzml:Creator","schema:person" - ], + default_factory=lambda: ["enzml:Creator", "schema:person"], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "given_name": "schema:givenName", "family_name": "schema:familyName", "mail": "schema:email", - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -567,7 +584,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -576,10 +595,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -608,10 +624,9 @@ def add_type_term( class Vessel(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -622,36 +637,33 @@ class Vessel(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Vessel/" + str(uuid4()) + default_factory=lambda: "enzml:Vessel/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ - "enzml:Vessel","OBO:OBI_0400081" - ], + default_factory=lambda: ["enzml:Vessel", "OBO:OBI_0400081"], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", }, "name": "schema:name", "volume": "OBO:OBI_0002139", - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -673,7 +685,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -682,10 +696,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -714,10 +725,9 @@ def add_type_term( class Protein(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -732,20 +742,18 @@ class Protein(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Protein/" + str(uuid4()) + default_factory=lambda: "enzml:Protein/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ - "enzml:Protein","schema:Protein" - ], + default_factory=lambda: ["enzml:Protein", "schema:Protein"], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@type": "@id", }, @@ -763,16 +771,15 @@ class Protein(BaseModel): "@id": "schema:citation", "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -794,7 +801,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -803,10 +812,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -835,10 +841,9 @@ def add_type_term( class Complex(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -848,20 +853,20 @@ class Complex(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Complex/" + str(uuid4()) + default_factory=lambda: "enzml:Complex/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:Complex", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -870,16 +875,15 @@ class Complex(BaseModel): "participants": { "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -901,7 +905,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -910,10 +916,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -942,10 +945,9 @@ def add_type_term( class SmallMolecule(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -959,20 +961,20 @@ class SmallMolecule(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()) + default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:SmallMolecule", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -986,16 +988,15 @@ class SmallMolecule(BaseModel): "@id": "schema:citation", "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1017,7 +1018,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1026,10 +1029,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1058,10 +1058,9 @@ def add_type_term( class Reaction(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -1073,20 +1072,20 @@ class Reaction(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Reaction/" + str(uuid4()) + default_factory=lambda: "enzml:Reaction/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:Reaction", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1094,7 +1093,7 @@ class Reaction(BaseModel): "modifiers": { "@type": "@id", }, - } + }, ) def filter_species(self, **kwargs) -> list[ReactionElement]: @@ -1109,13 +1108,12 @@ def filter_species(self, **kwargs) -> list[ReactionElement]: return FilterWrapper[ReactionElement](self.species, **kwargs).filter() - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1137,7 +1135,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1146,10 +1146,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1176,33 +1173,26 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_species( self, species_id: str, stoichiometry: float, **kwargs, ): - params = { - "species_id": species_id, - "stoichiometry": stoichiometry - } + params = {"species_id": species_id, "stoichiometry": stoichiometry} if "id" in kwargs: params["id"] = kwargs["id"] - self.species.append( - ReactionElement(**params) - ) + self.species.append(ReactionElement(**params)) return self.species[-1] class ReactionElement(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore species_id: str stoichiometry: float @@ -1210,33 +1200,32 @@ class ReactionElement(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()) + default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:ReactionElement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1258,7 +1247,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1267,10 +1258,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1299,38 +1287,36 @@ def add_type_term( class Equation(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore equation: str equation_type: EquationType species_id: Optional[str] = Field(default=None) variables: list[Variable] = Field(default_factory=list) - parameters: list[Parameter] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Equation/" + str(uuid4()) + default_factory=lambda: "enzml:Equation/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:Equation", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id", }, - } + }, ) def filter_variables(self, **kwargs) -> list[Variable]: @@ -1345,25 +1331,12 @@ def filter_variables(self, **kwargs) -> list[Variable]: return FilterWrapper[Variable](self.variables, **kwargs).filter() - def filter_parameters(self, **kwargs) -> list[Parameter]: - """Filters the parameters attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[Parameter]: The filtered list of Parameter objects - """ - - return FilterWrapper[Parameter](self.parameters, **kwargs).filter() - - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1385,7 +1358,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1394,10 +1369,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1424,7 +1396,6 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_variables( self, id: str, @@ -1432,63 +1403,20 @@ def add_to_variables( symbol: str, **kwargs, ): - params = { - "id": id, - "name": name, - "symbol": symbol - } + params = {"id": id, "name": name, "symbol": symbol} if "id" in kwargs: params["id"] = kwargs["id"] - self.variables.append( - Variable(**params) - ) + self.variables.append(Variable(**params)) return self.variables[-1] - def add_to_parameters( - self, - id: str, - name: str, - symbol: str, - value: Optional[float]= None, - unit: Optional[UnitDefinition]= None, - initial_value: Optional[float]= None, - upper: Optional[float]= None, - lower: Optional[float]= None, - stderr: Optional[float]= None, - constant: Optional[bool]= True, - **kwargs, - ): - params = { - "id": id, - "name": name, - "symbol": symbol, - "value": value, - "unit": unit, - "initial_value": initial_value, - "upper": upper, - "lower": lower, - "stderr": stderr, - "constant": constant - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.parameters.append( - Parameter(**params) - ) - - return self.parameters[-1] - class Variable(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -1497,31 +1425,30 @@ class Variable(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Variable/" + str(uuid4()) + default_factory=lambda: "enzml:Variable/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:Variable", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": "schema:identifier", - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1543,7 +1470,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1552,10 +1481,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1584,10 +1510,9 @@ def add_type_term( class Parameter(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -1603,34 +1528,33 @@ class Parameter(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Parameter/" + str(uuid4()) + default_factory=lambda: "enzml:Parameter/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:Parameter", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1652,7 +1576,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1661,10 +1587,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1693,10 +1616,9 @@ def add_type_term( class Measurement(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: str name: str @@ -1709,20 +1631,20 @@ class Measurement(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Measurement/" + str(uuid4()) + default_factory=lambda: "enzml:Measurement/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:Measurement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1730,7 +1652,7 @@ class Measurement(BaseModel): "group_id": { "@type": "@id", }, - } + }, ) def filter_species_data(self, **kwargs) -> list[MeasurementData]: @@ -1745,13 +1667,12 @@ def filter_species_data(self, **kwargs) -> list[MeasurementData]: return FilterWrapper[MeasurementData](self.species_data, **kwargs).filter() - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1773,7 +1694,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1782,10 +1705,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1812,7 +1732,6 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_species_data( self, species_id: str, @@ -1820,10 +1739,10 @@ def add_to_species_data( data_unit: UnitDefinition, time_unit: UnitDefinition, data_type: DataTypes, - prepared: Optional[float]= None, - data: list[float]= [], - time: list[float]= [], - is_simulated: bool= False, + prepared: Optional[float] = None, + data: list[float] = [], + time: list[float] = [], + is_simulated: bool = False, **kwargs, ): params = { @@ -1835,24 +1754,21 @@ def add_to_species_data( "prepared": prepared, "data": data, "time": time, - "is_simulated": is_simulated + "is_simulated": is_simulated, } if "id" in kwargs: params["id"] = kwargs["id"] - self.species_data.append( - MeasurementData(**params) - ) + self.species_data.append(MeasurementData(**params)) return self.species_data[-1] class MeasurementData(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore species_id: str initial: float @@ -1867,33 +1783,32 @@ class MeasurementData(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()) + default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:MeasurementData", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1915,7 +1830,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1924,10 +1841,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1956,10 +1870,9 @@ def add_type_term( class UnitDefinition(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore id: Optional[str] = Field(default=None) name: Optional[str] = Field(default=None) @@ -1968,21 +1881,21 @@ class UnitDefinition(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:UnitDefinition/" + str(uuid4()) + default_factory=lambda: "enzml:UnitDefinition/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:UnitDefinition", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", - } + "schema": "https://schema.org/", + }, ) def filter_base_units(self, **kwargs) -> list[BaseUnit]: @@ -1997,13 +1910,12 @@ def filter_base_units(self, **kwargs) -> list[BaseUnit]: return FilterWrapper[BaseUnit](self.base_units, **kwargs).filter() - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -2025,7 +1937,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -2034,10 +1948,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -2064,36 +1975,33 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_base_units( self, kind: UnitType, exponent: int, - multiplier: Optional[float]= None, - scale: Optional[float]= None, + multiplier: Optional[float] = None, + scale: Optional[float] = None, **kwargs, ): params = { "kind": kind, "exponent": exponent, "multiplier": multiplier, - "scale": scale + "scale": scale, } if "id" in kwargs: params["id"] = kwargs["id"] - self.base_units.append( - BaseUnit(**params) - ) + self.base_units.append(BaseUnit(**params)) return self.base_units[-1] -class BaseUnit(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore +class BaseUnit(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment=True, + ) # type: ignore kind: UnitType exponent: int @@ -2103,30 +2011,29 @@ class BaseUnit(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:BaseUnit/" + str(uuid4()) + default_factory=lambda: "enzml:BaseUnit/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:BaseUnit", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", - } + "schema": "https://schema.org/", + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -2148,7 +2055,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert ( + attr in self.model_fields + ), f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -2157,10 +2066,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -2194,6 +2100,7 @@ class EquationType(Enum): ODE = "ode" RATE_LAW = "rateLaw" + class DataTypes(Enum): ABSORBANCE = "http://purl.allotrope.org/ontologies/quality#AFQ_0000061" CONCENTRATION = "http://purl.obolibrary.org/obo/PATO_0000033" @@ -2202,6 +2109,7 @@ class DataTypes(Enum): PEAK_AREA = "http://purl.allotrope.org/ontologies/result#AFR_0001073" TRANSMITTANCE = "http://purl.allotrope.org/ontologies/result#AFR_0002261" + class UnitType(Enum): AMPERE = "ampere" AVOGADRO = "avogadro" @@ -2236,4 +2144,4 @@ class UnitType(Enum): TESLA = "tesla" VOLT = "volt" WATT = "watt" - WEBER = "weber" \ No newline at end of file + WEBER = "weber" From c2c68c31647a624d2df0cdfc2ac49efc898039c5 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Mon, 19 Aug 2024 21:26:38 +0200 Subject: [PATCH 043/172] adapt to parameter loc and cast `str` to `float` --- pyenzyme/sbml/parser.py | 70 +++++++++++++++++++++-------------------- 1 file changed, 36 insertions(+), 34 deletions(-) diff --git a/pyenzyme/sbml/parser.py b/pyenzyme/sbml/parser.py index 815797e7..4a67b63e 100644 --- a/pyenzyme/sbml/parser.py +++ b/pyenzyme/sbml/parser.py @@ -1,12 +1,12 @@ from __future__ import annotations import math -import re import xml.etree.ElementTree as ET from pathlib import Path from typing import IO import libsbml as sbml # type: ignore +import rich from loguru import logger # type: ignore import pyenzyme as pe @@ -20,12 +20,21 @@ ENZYMEML_NS = "https://www.enzymeml.org/v2" -def read_sbml(path: Path | str): +def read_sbml(cls, path: Path | str): + """ + Reads an SBML file and initializes an EnzymeML document. + + Args: + cls: The class to instantiate the EnzymeML document. + path (Path | str): The path to the OMEX archive containing the SBML file. + + Returns: + An initialized EnzymeML document with extracted units, species, vessels, equations, parameters, reactions, and measurements. + """ add_logger(name="SBML") # Create globals to use in the functions global units - global parameters global path_prefix global tsv_path @@ -34,7 +43,7 @@ def read_sbml(path: Path | str): # Read the SBML file and init an EnzymeML document model = _init_and_read_sbml(open(sbml_path)) - enzmldoc = pe.EnzymeMLDocument(name=model.getName()) + enzmldoc = cls(name=model.getName()) # Extract units to map these to the EnzymeML entities units = { # type: ignore @@ -50,8 +59,8 @@ def read_sbml(path: Path | str): # Extract vessels enzmldoc.vessels = [_parse_vessel(comp) for comp in model.getListOfCompartments()] - # Extract equations from rules and initial assignments - parameters = [_parse_parameter(param) for param in model.getListOfParameters()] # type: ignore + # Extract equations and parameters + enzmldoc.parameters = [_parse_parameter(param) for param in model.getListOfParameters()] # type: ignore enzmldoc.equations += [ _parse_equation(rule, pe.EquationType.INITIAL_ASSIGNMENT) for rule in model.getListOfInitialAssignments() @@ -233,7 +242,6 @@ def _parse_equation(rule: sbml.Rule, rule_type: pe.EquationType): equation_type=rule_type, equation=equation, species_id=species_id, - parameters=_extract_parameters(equation), variables=[pe.Variable(**annot) for annot in annots.get("variables", [])], ) @@ -259,12 +267,13 @@ def _parse_reaction(reaction: sbml.Reaction): reaction = pe.Reaction( id=reaction.getId(), name=reaction.getName(), - reactants=reactants, - products=products, + species=reactants + products, modifiers=modifiers, kinetic_law=kinetic_law, ) + rich.print(reaction) + return reaction @@ -281,36 +290,17 @@ def _parse_kinetic_law(reaction): if not kinetic_law: return None - formula = kinetic_law.getFormula() + annots = _parse_enzymeml_annotations("variables", kinetic_law.getAnnotationString()) kinetic_law = pe.Equation( - equation=formula, + equation=kinetic_law.getFormula(), equation_type=pe.EquationType.RATE_LAW, unit=M, # We need to set a default unit here, because SBML does not provide units for kinetic laws + variables=[pe.Variable(**annot) for annot in annots.get("variables", [])], ) - kinetic_law.parameters = _extract_parameters(formula) - return kinetic_law -def _extract_parameters(equation: str) -> list[pe.Parameter]: - """Extract the parameters from an equation.""" - - params = [] - for param in parameters: - if any( - _contains_param(equation, getattr(param, attr)) - for attr in ["id", "symbol", "name"] - ): - params.append(param) - - return params - - -def _contains_param(formula: str, param: str) -> bool: - return bool(re.search(rf"\b{param}\b", formula)) - - def _parse_measurements(model: sbml.Model): # Extract metadata from the model meas_metadata, file_path = _get_meas_metadata(model) @@ -335,18 +325,26 @@ def _assign_units_and_initials(meas_id, measurements, metadata): measurement = [m for m in measurements if m.id == meas_id][0] conditions = metadata.get("condition", {}) init_concs = metadata.get("speciesData", []) - measurement.temperature = conditions.get("temperature") + measurement.ph = _cast(conditions.get("ph"), float) + measurement.temperature = _cast(conditions.get("temperature"), float) measurement.temperature_unit = conditions.get("temperature_unit") for init_conc in init_concs: species_id = _get_species_id(init_conc) meas_data = _get_species_data(measurement, species_id) - meas_data.initial = init_conc.get("initial", 0.0) + meas_data.initial = float(init_conc.get("initial", 0.0)) meas_data.time_unit = init_conc["time_unit"] meas_data.data_unit = init_conc["data_unit"] +def _cast(value, data_type): + if value is None: + return None + + return data_type(value) + + def _get_species_id(init_conc): species_id = init_conc.get("species_id") assert species_id, "No species ID found in the EnzymeML data annotation" @@ -457,7 +455,11 @@ def _map_values(mappings, root, root_key=None): root=root, xml_key=xml_key, ): - data[root_key] = value + if root_key in data and len(value) == 1: + # Special case for conditions + data[root_key][0].update(value[0]) + else: + data[root_key] = value case str(): if value := _process_simple( From f1eeaf4a5ee651fb50a659add4bf1d8834459a8a Mon Sep 17 00:00:00 2001 From: Jan Range Date: Mon, 19 Aug 2024 21:26:47 +0200 Subject: [PATCH 044/172] adapt parameter change --- pyenzyme/sbml/serializer.py | 13 ++++--------- 1 file changed, 4 insertions(+), 9 deletions(-) diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index a2c87e2c..71251f84 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -39,7 +39,7 @@ def to_sbml( >> import pyenzyme as pe >> doc = pe.EnzymeMLDocument() >> [add entities to doc] - >> pe.to_sbml(doc, "example.xml") + >> to_sbml(doc, "example.xml") Args: enzmldoc (pe.EnzymeMLDocument): The EnzymeML document to convert. @@ -85,6 +85,9 @@ def to_sbml( if doc.measurements: _add_measurements(doc.measurements) + for parameter in enzmldoc.parameters: + _add_parameter(parameter) + if out is None: return libsbml.writeSBMLToString(sbmldoc), to_pandas(doc) @@ -264,10 +267,6 @@ def _add_rate_law(equation: pe.Equation, reac: libsbml.Reaction): law = reac.createKineticLaw() law.setMath(libsbml.parseL3Formula(equation.equation)) - for parameter in equation.parameters: - if not model.getParameter(parameter.id): - _add_parameter(pe.Parameter(**parameter.model_dump())) - if annot := _create_equation_annot(equation): law.setAnnotation(_xml.serialize_to_pretty_xml_string(annot)) @@ -329,10 +328,6 @@ def _add_equation(equation: pe.Equation): sbml_rule.setMath(libsbml.parseL3Formula(equation.equation)) - for parameter in equation.parameters: - if not model.getParameter(parameter.id): # type: ignore - _add_parameter(parameter) - if annot := _create_equation_annot(equation): sbml_rule.setAnnotation(_xml.serialize_to_pretty_xml_string(annot)) From 754787212bf8cce32c1e7d0ef4d48d605f5fa765 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Mon, 19 Aug 2024 21:26:57 +0200 Subject: [PATCH 045/172] cast to float --- pyenzyme/tabular.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pyenzyme/tabular.py b/pyenzyme/tabular.py index a712ca9a..a8e5e55e 100644 --- a/pyenzyme/tabular.py +++ b/pyenzyme/tabular.py @@ -192,6 +192,7 @@ def from_pandas( Args: df (pd.DataFrame): The DataFrame to parse. + id (str): The ID of the measurement. data_unit (UnitDefinition): The unit of the data. time_unit (UnitDefinition): The unit of the time. data_type (DataTypes): The type of the data. Default is DataTypes.CONCENTRATION. @@ -247,7 +248,7 @@ def _create_single_measurement( time=time, data_unit=data_unit, time_unit=time_unit, - initial=species_data[0], + initial=float(species_data[0]), data_type=data_type, ) ) From 958b321889f27a12cc7627d26bd5741067d3dd9f Mon Sep 17 00:00:00 2001 From: Jan Range Date: Mon, 19 Aug 2024 21:27:09 +0200 Subject: [PATCH 046/172] add utility to strip ld keys --- pyenzyme/tools.py | 50 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 50 insertions(+) diff --git a/pyenzyme/tools.py b/pyenzyme/tools.py index dcea60f7..ee644ce1 100644 --- a/pyenzyme/tools.py +++ b/pyenzyme/tools.py @@ -7,6 +7,56 @@ import pyenzyme as pe +def to_dict_wo_json_ld(enzmldoc: pe.EnzymeMLDocument): + """Serialized to dict and strips JSON-LD fields from an EnzymeMLDocument. + + Please note, this function is intended for internal use only and should not be called directly. + For developers, if you intend to write tests and check the contents of an EnzymeMLDocument, + it is recommended to use this method instead of `model_dump()` to avoid JSON-LD fields, + since these contain IDs that are not deterministic and may cause tests to fail. + + Args: + enzmldoc (EnzymeMLDocument): The EnzymeMLDocument to strip JSON-LD fields from. + + Returns: + dict: The EnzymeMLDocument with JSON-LD fields removed. + """ + + doc = enzmldoc.model_dump() + _recursive_key_removal(doc, "ld_id") + _recursive_key_removal(doc, "ld_type") + _recursive_key_removal(doc, "ld_context") + + return doc + + +def _recursive_key_removal(obj: dict | list, key: str): + """ + Recursively removes all occurrences of a specified key from a dictionary or list of dictionaries. + + Args: + obj (dict | list): The dictionary or list of dictionaries to process. + key (str): The key to remove from the dictionary or dictionaries. + + Example: + >>> data = {'a': 1, 'b': {'a': 2, 'c': 3}, 'd': [{'a': 4}, {'e': 5}]} + >>> _recursive_key_removal(data, 'a') + >>> print(data) + {'b': {'c': 3}, 'd': [{'e': 5}]} + """ + if isinstance(obj, dict): + for k in list(obj.keys()): + if key == k: + del obj[key] + else: + _recursive_key_removal(obj[k], key) + elif isinstance(obj, list): + # Sort the list to ensure that the order of elements is preserved + obj.sort(key=lambda x: str(x)) + for entry in obj: + _recursive_key_removal(entry, key) + + def get_all_parameters(enzmldoc): """Extracts all parameters from an EnzymeMLDocument. From a57a7325a496760a151f4055c1366e900a18c980 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Mon, 19 Aug 2024 21:27:15 +0200 Subject: [PATCH 047/172] update tests --- tests/fixtures/sbml/ode_example_enzml.json | 415 +++++++----------- tests/fixtures/sbml/ode_example_sbml.xml | 46 +- tests/fixtures/sbml/odes_example.omex | Bin 0 -> 2429 bytes .../fixtures/sbml/reaction_example_enzml.json | 389 +++++++--------- tests/fixtures/sbml/reaction_example_sbml.xml | 66 ++- tests/fixtures/sbml/reactions_example.omex | Bin 0 -> 2212 bytes tests/integration/test_sbml.py | 40 ++ tests/unit/test_equations.py | 65 ++- 8 files changed, 456 insertions(+), 565 deletions(-) create mode 100644 tests/fixtures/sbml/odes_example.omex create mode 100644 tests/fixtures/sbml/reactions_example.omex create mode 100644 tests/integration/test_sbml.py diff --git a/tests/fixtures/sbml/ode_example_enzml.json b/tests/fixtures/sbml/ode_example_enzml.json index 57a2b6e3..ca2dca0b 100644 --- a/tests/fixtures/sbml/ode_example_enzml.json +++ b/tests/fixtures/sbml/ode_example_enzml.json @@ -12,7 +12,7 @@ "modified": "schema:dateModified", "creators": "schema:creator" }, - "@id": "enzml:EnzymeMLDocument/44649453-a157-4cb7-be07-8fb09a82f4ca", + "@id": "enzml:EnzymeMLDocument/833d46aa-58c7-4d42-b341-43f1fe0fece0", "@type": [ "enzml:EnzymeMLDocument" ], @@ -32,7 +32,7 @@ "name": "schema:name", "volume": "OBO:OBI_0002139" }, - "@id": "enzml:Vessel/02063116-73f1-4ba1-b166-8fe835e55659", + "@id": "enzml:Vessel/abc02182-675a-4fd7-b067-9f376f17b874", "@type": [ "enzml:Vessel", "OBO:OBI_0400081" @@ -59,7 +59,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/efd21ea0-af02-4920-9036-9c8337cf0421", + "@id": "enzml:BaseUnit/7ea9c0d4-dcbb-4e59-94f2-7b1779e35b1b", "@type": [ "enzml:BaseUnit" ], @@ -96,7 +96,7 @@ "@type": "@id" } }, - "@id": "enzml:Protein/cf3097ad-5833-4ff8-99f1-784cd5f673ca", + "@id": "enzml:Protein/487be0d2-e325-4f0b-857b-3bd8d54c4003", "@type": [ "enzml:Protein", "schema:Protein" @@ -127,7 +127,7 @@ "@type": "@id" } }, - "@id": "enzml:Complex/fa79ccd6-acbe-47e4-a8d1-795eb18346db", + "@id": "enzml:Complex/2f52086d-d7a8-4a2d-870b-bd6bafd91504", "@type": [ "enzml:Complex" ], @@ -160,7 +160,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/5375d6fb-6246-43b0-bc81-d47e3e72493f", + "@id": "enzml:SmallMolecule/551e35d3-ae18-490d-b4a7-003fcd28f446", "@type": [ "enzml:SmallMolecule" ], @@ -191,7 +191,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/c7318d93-2a0f-44c0-9ebe-a79fc27bf01e", + "@id": "enzml:SmallMolecule/1a93b3f8-ce94-429d-975b-ff6a837b0424", "@type": [ "enzml:SmallMolecule" ], @@ -219,7 +219,7 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/ef303c49-7554-4367-9f44-cb6e9838c1be", + "@id": "enzml:Measurement/83db3a41-626e-461b-80d2-9618997c6af3", "@type": [ "enzml:Measurement" ], @@ -235,7 +235,7 @@ "@type": "@id" } }, - "@id": "enzml:MeasurementData/3beaeb28-72a4-4398-ae34-c9208c03aa0b", + "@id": "enzml:MeasurementData/a1e71511-2b64-40af-a50f-7ede47b45baa", "@type": [ "enzml:MeasurementData" ], @@ -260,7 +260,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/cff3e0ad-ce88-479a-8c01-b06e012e3195", + "@id": "enzml:BaseUnit/0a98675d-d6e6-4551-8f2a-90483c57936d", "@type": [ "enzml:BaseUnit" ], @@ -274,7 +274,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/df1eed89-6a35-483e-a187-b981d9ee0405", + "@id": "enzml:BaseUnit/335f309c-13e0-4eb8-9765-3945a8683f7f", "@type": [ "enzml:BaseUnit" ], @@ -303,12 +303,12 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/634613e6-a06f-42e9-9e11-b32c3e6f6f09", + "@id": "enzml:BaseUnit/4e3a6a14-ca74-4c8a-b00f-45a3cfea6e11", "@type": [ "enzml:BaseUnit" ], "kind": "second", - "exponent": -1, + "exponent": 1, "scale": 1.0 } ] @@ -351,7 +351,7 @@ "@type": "@id" } }, - "@id": "enzml:MeasurementData/00c0dabc-47cc-40d5-a4d5-7809880aad52", + "@id": "enzml:MeasurementData/9de1a9fe-ede0-4e0b-a8cc-84e8dce6cb57", "@type": [ "enzml:MeasurementData" ], @@ -376,7 +376,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/cff3e0ad-ce88-479a-8c01-b06e012e3195", + "@id": "enzml:BaseUnit/0a98675d-d6e6-4551-8f2a-90483c57936d", "@type": [ "enzml:BaseUnit" ], @@ -390,7 +390,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/df1eed89-6a35-483e-a187-b981d9ee0405", + "@id": "enzml:BaseUnit/335f309c-13e0-4eb8-9765-3945a8683f7f", "@type": [ "enzml:BaseUnit" ], @@ -419,12 +419,12 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/634613e6-a06f-42e9-9e11-b32c3e6f6f09", + "@id": "enzml:BaseUnit/4e3a6a14-ca74-4c8a-b00f-45a3cfea6e11", "@type": [ "enzml:BaseUnit" ], "kind": "second", - "exponent": -1, + "exponent": 1, "scale": 1.0 } ] @@ -480,7 +480,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/83915bc7-e2b4-450f-b363-20eb027d1f3d", + "@id": "enzml:BaseUnit/31d5028b-2d30-4053-87e7-00b42a40b165", "@type": [ "enzml:BaseUnit" ], @@ -504,7 +504,7 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/28bb1de1-4cd9-45e2-b160-3a2dd5ce3e34", + "@id": "enzml:Measurement/f7603279-9db3-4039-b501-97fee1f05c4b", "@type": [ "enzml:Measurement" ], @@ -520,7 +520,7 @@ "@type": "@id" } }, - "@id": "enzml:MeasurementData/24b00355-6bad-4771-a0e5-e65c7560b3a9", + "@id": "enzml:MeasurementData/f8d7f530-1f92-4cd7-b460-54b9cb03678b", "@type": [ "enzml:MeasurementData" ], @@ -545,7 +545,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/cff3e0ad-ce88-479a-8c01-b06e012e3195", + "@id": "enzml:BaseUnit/0a98675d-d6e6-4551-8f2a-90483c57936d", "@type": [ "enzml:BaseUnit" ], @@ -559,7 +559,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/df1eed89-6a35-483e-a187-b981d9ee0405", + "@id": "enzml:BaseUnit/335f309c-13e0-4eb8-9765-3945a8683f7f", "@type": [ "enzml:BaseUnit" ], @@ -588,12 +588,12 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/634613e6-a06f-42e9-9e11-b32c3e6f6f09", + "@id": "enzml:BaseUnit/4e3a6a14-ca74-4c8a-b00f-45a3cfea6e11", "@type": [ "enzml:BaseUnit" ], "kind": "second", - "exponent": -1, + "exponent": 1, "scale": 1.0 } ] @@ -636,7 +636,7 @@ "@type": "@id" } }, - "@id": "enzml:MeasurementData/405dfbaf-cc21-41d4-836d-fdadc1d0c1b3", + "@id": "enzml:MeasurementData/828564ec-ec24-42c2-98b2-115fdc1f2a3c", "@type": [ "enzml:MeasurementData" ], @@ -661,7 +661,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/cff3e0ad-ce88-479a-8c01-b06e012e3195", + "@id": "enzml:BaseUnit/0a98675d-d6e6-4551-8f2a-90483c57936d", "@type": [ "enzml:BaseUnit" ], @@ -675,7 +675,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/df1eed89-6a35-483e-a187-b981d9ee0405", + "@id": "enzml:BaseUnit/335f309c-13e0-4eb8-9765-3945a8683f7f", "@type": [ "enzml:BaseUnit" ], @@ -704,12 +704,12 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/634613e6-a06f-42e9-9e11-b32c3e6f6f09", + "@id": "enzml:BaseUnit/4e3a6a14-ca74-4c8a-b00f-45a3cfea6e11", "@type": [ "enzml:BaseUnit" ], "kind": "second", - "exponent": -1, + "exponent": 1, "scale": 1.0 } ] @@ -765,7 +765,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/83915bc7-e2b4-450f-b363-20eb027d1f3d", + "@id": "enzml:BaseUnit/31d5028b-2d30-4053-87e7-00b42a40b165", "@type": [ "enzml:BaseUnit" ], @@ -787,23 +787,80 @@ "@type": "@id" } }, - "@id": "enzml:Equation/87c7fc6d-6933-42be-a33a-c8eecb5901b7", + "@id": "enzml:Equation/69aec529-07bc-447a-8169-a20dc623c81a", "@type": [ "enzml:Equation" ], - "equation": "E_tot*kcat*s0/(K_m + s0)", + "equation": "E_tot * kcat * s0 / (K_m + s0)", + "equation_type": "ode", + "species_id": "s1", + "variables": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": "schema:identifier" + }, + "@id": "enzml:Variable/b4d171e6-c5ee-416b-859f-6560c5f18b5d", + "@type": [ + "enzml:Variable" + ], + "id": "s0", + "name": "s0", + "symbol": "s0" + } + ] + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@type": "@id" + } + }, + "@id": "enzml:Equation/e1e66a46-8111-4003-9eeb-f163081c2e96", + "@type": [ + "enzml:Equation" + ], + "equation": "100", + "equation_type": "initialAssignment", + "species_id": "E_tot", + "variables": [] + } + ], + "parameters": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + } + }, + "@id": "enzml:Parameter/2872b6d6-191f-4bc4-a36a-130eb4534837", + "@type": [ + "enzml:Parameter" + ], + "id": "kcat", + "name": "kcat", + "symbol": "kcat", "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "OBO:UO_0000063", + "@id": "OBO:UO_0000010", "@type": [ "OBO:UO_0000000" ], "id": "u4", - "name": "mmol / l s", + "name": "1 / s", "base_units": [ { "@context": { @@ -811,35 +868,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/cff3e0ad-ce88-479a-8c01-b06e012e3195", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "mole", - "exponent": 1, - "scale": -3.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/df1eed89-6a35-483e-a187-b981d9ee0405", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "litre", - "exponent": -1, - "scale": 1.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/634613e6-a06f-42e9-9e11-b32c3e6f6f09", + "@id": "enzml:BaseUnit/4e3a6a14-ca74-4c8a-b00f-45a3cfea6e11", "@type": [ "enzml:BaseUnit" ], @@ -849,223 +878,93 @@ } ] }, - "equation_type": "ode", - "species_id": "s1", - "variables": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": "schema:identifier" - }, - "@id": "enzml:Variable/49c819d7-0f8a-4d2e-9a82-09cf62d48aad", - "@type": [ - "enzml:Variable" - ], - "id": "s0", - "name": "s0", - "symbol": "s0" + "upper": 100.0, + "lower": 0.0, + "stderr": 0.1, + "constant": true + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" } + }, + "@id": "enzml:Parameter/31e315d7-8e87-4ef9-9ca4-1e9e08f2ded7", + "@type": [ + "enzml:Parameter" ], - "parameters": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - } - }, - "@id": "enzml:Parameter/404206dc-7e11-432e-b1a8-871b822325ef", - "@type": [ - "enzml:Parameter" - ], - "id": "kcat", - "name": "kcat", - "symbol": "kcat", - "unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "OBO:UO_0000010", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u5", - "name": "1 / s", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/634613e6-a06f-42e9-9e11-b32c3e6f6f09", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "second", - "exponent": -1, - "scale": 1.0 - } - ] - }, - "upper": 100.0, - "lower": 0.0, - "stderr": 0.1, - "constant": true + "id": "K_m", + "name": "K_m", + "symbol": "K_m", + "unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - } - }, - "@id": "enzml:Parameter/a5b7ca60-4945-4cfe-9eb9-6c97dfdaa770", - "@type": [ - "enzml:Parameter" - ], - "id": "K_m", - "name": "K_m", - "symbol": "K_m", - "unit": { + "@id": "OBO:UO_0000063", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u2", + "name": "mmol / l", + "base_units": [ + { "@context": { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "OBO:UO_0000063", + "@id": "enzml:BaseUnit/0a98675d-d6e6-4551-8f2a-90483c57936d", "@type": [ - "OBO:UO_0000000" + "enzml:BaseUnit" ], - "id": "u2", - "name": "mmol / l", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/cff3e0ad-ce88-479a-8c01-b06e012e3195", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "mole", - "exponent": 1, - "scale": -3.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/df1eed89-6a35-483e-a187-b981d9ee0405", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "litre", - "exponent": -1, - "scale": 1.0 - } - ] - }, - "upper": 100.0, - "lower": 0.0, - "stderr": 0.1, - "constant": true - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - } + "kind": "mole", + "exponent": 1, + "scale": -3.0 }, - "@id": "enzml:Parameter/26b501d3-7200-4813-ac11-b62f0f665054", - "@type": [ - "enzml:Parameter" - ], - "id": "E_tot", - "name": "E_tot", - "symbol": "E_tot", - "unit": { + { "@context": { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "OBO:UO_0000063", + "@id": "enzml:BaseUnit/335f309c-13e0-4eb8-9765-3945a8683f7f", "@type": [ - "OBO:UO_0000000" + "enzml:BaseUnit" ], - "id": "u2", - "name": "mmol / l", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/cff3e0ad-ce88-479a-8c01-b06e012e3195", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "mole", - "exponent": 1, - "scale": -3.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/df1eed89-6a35-483e-a187-b981d9ee0405", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "litre", - "exponent": -1, - "scale": 1.0 - } - ] - }, - "upper": 100.0, - "lower": 0.0, - "stderr": 0.1, - "constant": true - } - ] + "kind": "litre", + "exponent": -1, + "scale": 1.0 + } + ] + }, + "upper": 100.0, + "lower": 0.0, + "stderr": 0.1, + "constant": true }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", - "species_id": { + "id": { + "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:Equation/3991effb-6394-4b6d-baa8-a06462e2101f", + "@id": "enzml:Parameter/d49325e0-8483-469a-9d6d-1bcadac2bb98", "@type": [ - "enzml:Equation" + "enzml:Parameter" ], - "equation": "100", + "id": "E_tot", + "name": "E_tot", + "symbol": "E_tot", "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", @@ -1085,7 +984,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/cff3e0ad-ce88-479a-8c01-b06e012e3195", + "@id": "enzml:BaseUnit/0a98675d-d6e6-4551-8f2a-90483c57936d", "@type": [ "enzml:BaseUnit" ], @@ -1099,7 +998,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/df1eed89-6a35-483e-a187-b981d9ee0405", + "@id": "enzml:BaseUnit/335f309c-13e0-4eb8-9765-3945a8683f7f", "@type": [ "enzml:BaseUnit" ], @@ -1109,10 +1008,10 @@ } ] }, - "equation_type": "initialAssignment", - "species_id": "E_tot", - "variables": [], - "parameters": [] + "upper": 100.0, + "lower": 0.0, + "stderr": 0.1, + "constant": true } ] } \ No newline at end of file diff --git a/tests/fixtures/sbml/ode_example_sbml.xml b/tests/fixtures/sbml/ode_example_sbml.xml index 7d4ca6b1..dc3baf8c 100644 --- a/tests/fixtures/sbml/ode_example_sbml.xml +++ b/tests/fixtures/sbml/ode_example_sbml.xml @@ -2,22 +2,22 @@ - + - - + + - - + + @@ -56,7 +56,7 @@ - + @@ -71,21 +71,7 @@ - - - - - - - - - - - - - - - + @@ -104,7 +90,7 @@ + rdf:about="http://www.enzymeml.org/v2/Vessel/abc02182-675a-4fd7-b067-9f376f17b874"> Vessel 1 10.0 @@ -121,7 +107,7 @@ + rdf:about="http://www.enzymeml.org/v2/Protein/487be0d2-e325-4f0b-857b-3bd8d54c4003"> Enzyme MTEY E.coli @@ -141,7 +127,7 @@ + rdf:about="http://www.enzymeml.org/v2/Complex/2f52086d-d7a8-4a2d-870b-bd6bafd91504"> Enzyme-Substrate Complex @@ -157,7 +143,7 @@ + rdf:about="http://www.enzymeml.org/v2/SmallMolecule/551e35d3-ae18-490d-b4a7-003fcd28f446"> Substrate @@ -173,7 +159,7 @@ + rdf:about="http://www.enzymeml.org/v2/SmallMolecule/1a93b3f8-ce94-429d-975b-ff6a837b0424"> Product @@ -186,11 +172,11 @@ - 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- + + - + - - + + - + - + - - + + @@ -34,7 +34,7 @@ - + @@ -45,35 +45,33 @@ - - + - + - - + - + - + - + - + @@ -85,18 +83,6 @@ - - - - - - - - - - - - @@ -104,7 +90,7 @@ + rdf:about="http://www.enzymeml.org/v2/Vessel/a2ea41db-032c-4a61-a7d5-254137d0bce9"> Vessel 1 10.0 @@ -121,7 +107,7 @@ + rdf:about="http://www.enzymeml.org/v2/Protein/42828d0d-f4ac-489b-acd5-cd74c080f340"> Enzyme MTEY @@ -138,7 +124,7 @@ + rdf:about="http://www.enzymeml.org/v2/SmallMolecule/e794f30d-51ea-4b89-a5d7-555bcd70efe5"> Substrate @@ -150,7 +136,7 @@ + rdf:about="http://www.enzymeml.org/v2/SmallMolecule/4b8a1f78-1874-447a-aee7-a80970bb1301"> Product @@ -159,11 +145,11 @@ - + + rdf:about="http://www.enzymeml.org/v2/Parameter/46faced8-6229-4b7c-b06a-3feb06a11350"> @@ -174,11 +160,11 @@ - + + rdf:about="http://www.enzymeml.org/v2/Parameter/706ce185-8f1d-429e-8c0d-76942326a0df"> @@ -204,8 +190,8 @@ - + diff --git a/tests/fixtures/sbml/reactions_example.omex b/tests/fixtures/sbml/reactions_example.omex new file mode 100644 index 0000000000000000000000000000000000000000..ce6e4e12f4887700d95ac896785b467c6d5771a3 GIT binary patch literal 2212 zcmZ{lc{CJiAIHZs#)LaDh_W;oMH+h}g=`tiFm}e?kbN0TR1Db_BVx!H`%+{q7ll%m zh;A9tof$%n(qhYUF^E_1d(L~`+d1#^{P8`%^PKNF&+qfk2V>5~Eerqvcmd3EsPiW- zyX_AL6NVE2;6KPlyqm715 zM7r!ZmxmI-w*lZQZM(YJ9z%;)vh+{eF+Pv?G<0(q4_*E|)|}Kwpug*BpJ_e&W;=Z- zyT2kp4i6fU8GE8SZ7rm?JxuG6$a;nUo}ppoJyl}TvX)ZjCYEQK$2yZ8yJ9mhlepSm?Syy4LQ9CUW8^aEm zts~C~x$9U#u0w~e=8YKzB|E4l8un>;>BHzsVwYLVX6em~b6ZUOy z+srj6q+4^yG8Zi+q?Jn~zGin<$^t(xW}nO>X;sQ))T&9`Z%M`}ubA$}DSCLsVU*a5 z3;pGY<$w6GV=F0Nbac21i!E#$_f|L# zqbm<&iMb884cENkl`Zns>Q%jyu9q*nl=4Ptr5}~ti0iEhr)s7mMPf`Bpk6A$?a1p@ z$TvbMXC3{+rIUiE#E3SDAzN6&2XPp&y;~Rf z>b7!J{;K%MoX6|w_>Ruq*>AJE=DwXe6OV|)LHCG6>nSG_*`pvJA2kW+k@OdL;#)tF z2lXg{&IeZv44CH+_h=7tWK2$nt&$$6M|PL{Fh1h-JcL<)KrEF<^z4|4Pupzh6nAf4 zzsWNg%`*Q(%jGotKWGqmP3T9<@s#!mizk^?Df%qQ4%63vV#m(UIuD`^SeH+_hE=$#i2;|(u}C~>t~#JTF;hA&QQE&4xcwO0Ha1!x1c}Zz|z4FWsKz;nJwZV zX;C$-fcQ3lGw0iaWRaWC-I19j5V6zUsg7JY)aPy<<`1u$g1-?7j7^ zJ%E2Vv(53eg98O_eN#=|Y&7dksH_sL#g%?L-ph==V#~Nl5Y-HG<``?CeY{o14_8H>{BUXovl~jpK^%1#UZyohD?&G{^Q0`a`jo&X^kkQh2p{oFhQ+5g zOoU6|?|Pjg6{&7l`vfZ1v|L4Sf}xKQ$j7;NH*3D#sh*KB@QUeyG`LG$NacVt!J}Sa;`fBBqZC{?j>!IDN5jqnCBC-bkN&m^rR;>-aZ8z z)KB&F#2#w3FjVD-D)8cL^+^Hbx_JY)lrETK$6f~)m8y@ezGzQ~H5T^}?ql*4`=3@! zh?$2u7&gaJ`L4`P19xVnxj@mhYjMvCxnJ~kS6gVjnll|*7j~o^H-0Z~;b&wWIVH=1cT)acxs-b{O>YP7zGa=x5Sf&4@`^av@V>!6ZxL{Do=Bt|1 zE`-ITxY#dI3uU`w5B=h@;ZlK_eZJXvTS|-=7We#6S)*7{mdMN5ou;$R0%*EC>aQfn z%%>MJ>CR8dAL{$#GjiyA%N`DHA zga?K!;i49r%y{+eh&nkh@CM&>^;XnM2l)i1D7AjtCbmURcS#xFgeHp=moWXPu_vDR2}ihp6K=Iu}d#HS~L#vx;X{%t+yb#$`ght@HtQyzF@ z*0~yHhHWfR^Bf!aPmgeJ8@GlW_`{v!r(^*DZ?8x%L}bJjH=_P;3CH=lN4|@V85^^+ zrLZ<=_&EFYC3T+W;{Ky%7roK;1uTi|Dr$m z*uPKJji2$q+W)ors~7*%0|2US@EvUUUrYX4`xV3AHCxc%P%!4e1LXn$TnD%IAU_|x H0RaC3h8X0l literal 0 HcmV?d00001 diff --git a/tests/integration/test_sbml.py b/tests/integration/test_sbml.py new file mode 100644 index 00000000..f6acb232 --- /dev/null +++ b/tests/integration/test_sbml.py @@ -0,0 +1,40 @@ +from pathlib import Path + +from pyenzyme import EnzymeMLDocument +from pyenzyme.tools import to_dict_wo_json_ld + + +class TestSBML: + def test_parse_sbml_odes(self): + # Arrange + path = Path("tests/fixtures/sbml/odes_example.omex") + + # Act + enzmldoc = EnzymeMLDocument.from_sbml(path) + + # Assert + parsed_doc = to_dict_wo_json_ld(enzmldoc) + expected_doc = to_dict_wo_json_ld( + EnzymeMLDocument.read("tests/fixtures/sbml/ode_example_enzml.json") + ) + + assert ( + parsed_doc == expected_doc + ), "Parsed document does not match expected document" + + def test_parse_sbml_reactions(self): + # Arrange + path = Path("tests/fixtures/sbml/reactions_example.omex") + + # Act + enzmldoc = EnzymeMLDocument.from_sbml(path) + + # Assert + parsed_doc = to_dict_wo_json_ld(enzmldoc) + expected_doc = to_dict_wo_json_ld( + EnzymeMLDocument.read("tests/fixtures/sbml/reaction_example_enzml.json") + ) + + assert ( + parsed_doc == expected_doc + ), "Parsed document does not match expected document" diff --git a/tests/unit/test_equations.py b/tests/unit/test_equations.py index 4a1496cc..f0b20cec 100644 --- a/tests/unit/test_equations.py +++ b/tests/unit/test_equations.py @@ -2,16 +2,22 @@ from pyenzyme.equations._chem import build_reaction, build_reactions from pyenzyme.equations._math import build_equation, build_equations -from pyenzyme.model import EquationType +from pyenzyme.model import EquationType, EnzymeMLDocument +from pyenzyme.units import s class TestMathEquations: def test_parse_equation(self): # Arrange + enzmldoc = EnzymeMLDocument(name="Test") equation = "s1'(t) = kcat * p0(t) * s0(t)" # Act - equation = build_equation(equation) + equation = build_equation( + equation=equation, + unit_mapping={"kcat": 1 / s}, + enzmldoc=enzmldoc, + ) # Assert expected_vars = ["p0", "s0"] @@ -23,41 +29,54 @@ def test_parse_equation(self): assert ( equation.equation == "kcat*p0*s0" ), "Equation is not correct. Got {equation.equation.equation}" - assert equation.parameters[0].name == "kcat", "Parameter name is not correct" - assert ( - equation.parameters[0].symbol == "kcat" - ), "Parameter symbol is not correct" for var in equation.variables: assert var.name in expected_vars assert var.symbol in expected_vars - for param in equation.parameters: + for param in enzmldoc.parameters: assert param.name in expected_params assert param.symbol in expected_params + assert param.id in expected_params + assert param.unit is not None def test_invalid_equation_no_right(self): # Arrange + enzmldoc = EnzymeMLDocument(name="Test") equation = "s1'(t) =" # Act with pytest.raises(ValueError): - equation = build_equation(equation) + build_equation( + equation=equation, + unit_mapping={"kcat": 1 / s}, + enzmldoc=enzmldoc, + ) def test_invalid_equation_no_equals(self): # Arrange + enzmldoc = EnzymeMLDocument(name="Test") equation = "s1'(t) kcat * p0(t) * s0(t)" # Act with pytest.raises(ValueError): - equation = build_equation(equation) + build_equation( + equation=equation, + unit_mapping={"kcat": 1 / s}, + enzmldoc=enzmldoc, + ) def test_equation_with_funs(self): # Arrange + enzmldoc = EnzymeMLDocument(name="Test") equation = "s1'(t) = kcat * exp(p0(t) * t)" # Act - equation = build_equation(equation) + equation = build_equation( + equation=equation, + unit_mapping={"kcat": 1 / s}, + enzmldoc=enzmldoc, + ) # Assert assert ( @@ -69,10 +88,15 @@ def test_equation_with_funs(self): def test_equation_with_fun_only_t(self): # Arrange + enzmldoc = EnzymeMLDocument(name="Test") equation = "s1'(t) = kcat * exp(t)" # Act - equation = build_equation(equation) + equation = build_equation( + equation=equation, + unit_mapping={"kcat": 1 / s}, + enzmldoc=enzmldoc, + ) # Assert assert ( @@ -84,23 +108,32 @@ def test_equation_with_fun_only_t(self): def test_multiple_equations(self): # Arrange + enzmldoc = EnzymeMLDocument(name="Test") equations = [ "s1'(t) = kcat * E_tot * s0(t)", "E_tot = p0(t) + p1(t)", ] # Act - equations = build_equations(*equations) + equations = build_equations( + *equations, + unit_mapping={"kcat": 1 / s}, + enzmldoc=enzmldoc, + ) # Assert assert len(equations) == 2, f"Expected 2 equations. Got {len(equations)}" def test_init_assigment_equation(self): # Arrange + enzmldoc = EnzymeMLDocument(name="Test") equation = "E_tot = p0 + p1" # Act - equation = build_equation(equation) + equation = build_equation( + equation, + enzmldoc=enzmldoc, + ) # Assert assert ( @@ -115,10 +148,14 @@ def test_init_assigment_equation(self): def test_assigment_equation(self): # Arrange + enzmldoc = EnzymeMLDocument(name="Test") equation = "E_tot(t) = p0 + p1" # Act - equation = build_equation(equation) + equation = build_equation( + equation=equation, + enzmldoc=enzmldoc, + ) # Assert assert ( From 6330f0c60de833906b1846d0a4314c4223053ea3 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Tue, 20 Aug 2024 08:49:41 +0200 Subject: [PATCH 048/172] add `to_pandas` to `EnzymeMLDocument` --- dev-examples/sbml_import_odes.py | 4 ++++ dev-examples/sbml_import_reactions.py | 4 ++++ pyenzyme/__init__.py | 1 + 3 files changed, 9 insertions(+) diff --git a/dev-examples/sbml_import_odes.py b/dev-examples/sbml_import_odes.py index e2aeaccd..f630d6aa 100644 --- a/dev-examples/sbml_import_odes.py +++ b/dev-examples/sbml_import_odes.py @@ -10,3 +10,7 @@ ) rich.print(to_dict_wo_json_ld(doc)) + +df = doc.to_pandas(doc) + +rich.print(df) diff --git a/dev-examples/sbml_import_reactions.py b/dev-examples/sbml_import_reactions.py index e2aeaccd..f630d6aa 100644 --- a/dev-examples/sbml_import_reactions.py +++ b/dev-examples/sbml_import_reactions.py @@ -10,3 +10,7 @@ ) rich.print(to_dict_wo_json_ld(doc)) + +df = doc.to_pandas(doc) + +rich.print(df) diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index 2dee72ed..c667f15d 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -48,6 +48,7 @@ def write_enzymeml( EnzymeMLDocument.write = write_enzymeml # noqa: F405 EnzymeMLDocument.from_sbml = classmethod(read_sbml) # noqa: F405 EnzymeMLDocument.to_sbml = to_sbml # noqa: F405 +EnzymeMLDocument.to_pandas = to_pandas # noqa: F405 def sort_by_ld(d: dict) -> dict: From bf62d867dd1a3d2aeea13899a26207cf93fa1695 Mon Sep 17 00:00:00 2001 From: haeussma <83341109+haeussma@users.noreply.github.com> Date: Tue, 20 Aug 2024 15:01:20 +0200 Subject: [PATCH 049/172] data, time, time_unit in `MeasurementData` not mandatory anymore --- pyenzyme/model.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/pyenzyme/model.py b/pyenzyme/model.py index 7a48ec10..314e63b0 100644 --- a/pyenzyme/model.py +++ b/pyenzyme/model.py @@ -3,10 +3,10 @@ from __future__ import annotations from enum import Enum -from typing import Optional, Generic, TypeVar +from typing import Generic, Optional, TypeVar from uuid import uuid4 -from pydantic import BaseModel, Field, ConfigDict +from pydantic import BaseModel, ConfigDict, Field # Filter Wrapper definition used to filter a list of objects # based on their attributes @@ -1737,11 +1737,11 @@ def add_to_species_data( species_id: str, initial: float, data_unit: UnitDefinition, - time_unit: UnitDefinition, data_type: DataTypes, prepared: Optional[float] = None, data: list[float] = [], time: list[float] = [], + time_unit: Optional[UnitDefinition] = None, is_simulated: bool = False, **kwargs, ): @@ -1749,11 +1749,11 @@ def add_to_species_data( "species_id": species_id, "initial": initial, "data_unit": data_unit, - "time_unit": time_unit, "data_type": data_type, "prepared": prepared, "data": data, "time": time, + "time_unit": time_unit, "is_simulated": is_simulated, } @@ -1773,11 +1773,11 @@ class MeasurementData(BaseModel): species_id: str initial: float data_unit: UnitDefinition - time_unit: UnitDefinition data_type: DataTypes prepared: Optional[float] = Field(default=None) data: list[float] = Field(default_factory=list) time: list[float] = Field(default_factory=list) + time_unit: Optional[UnitDefinition] = Field(default=None) is_simulated: bool = False # JSON-LD fields From fe3d3bbda9a29470f6adeafc9f2776ce5c0a450d Mon Sep 17 00:00:00 2001 From: "Frank T. Bergmann" Date: Fri, 23 Aug 2024 14:17:49 +0200 Subject: [PATCH 050/172] - can not assume filenames --- pyenzyme/sbml/omex.py | 21 +++++++++++++++++++-- 1 file changed, 19 insertions(+), 2 deletions(-) diff --git a/pyenzyme/sbml/omex.py b/pyenzyme/sbml/omex.py index 1f86734a..c7aba86b 100644 --- a/pyenzyme/sbml/omex.py +++ b/pyenzyme/sbml/omex.py @@ -67,7 +67,24 @@ def read_sbml_omex(path: Path) -> tuple[Path, Path | None]: """ omex = Omex.from_omex(path) - sbml_file = omex.get_path("./model.xml") - data = omex.get_path("./data.tsv") + + # get first sbml entry in manifest + sbml_entry = None + for entry in omex.manifest.entries: + if '/sbml' in entry.format: + sbml_entry = entry.location + if entry.master: + break + sbml_file = omex.get_path(sbml_entry) + + + # we really need to get all of the data entries from the manifest + # but for now just get the first one + data_entry = None + for entry in omex.manifest.entries: + if '/csv' in entry.format or '/tsv' in entry.format: + data_entry = entry.location + break + data = omex.get_path(data_entry) return sbml_file, data From f17303fd60b72fef5f6762a038497e93fd58e251 Mon Sep 17 00:00:00 2001 From: "Frank T. Bergmann" Date: Fri, 23 Aug 2024 14:18:43 +0200 Subject: [PATCH 051/172] - init defaults to add missing attributes - ensure there is a compartment for complexes - set volume unit --- pyenzyme/sbml/serializer.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index 71251f84..bba0f1c3 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -120,6 +120,7 @@ def _add_unit_definitions(unit: UnitDefinition): for base_unit in unit.base_units: sbml_unit = sbml_unitdef.createUnit() + sbml_unit.initDefaults() sbml_unit.setKind(_get_sbml_kind(base_unit.kind)) sbml_unit.setExponent(base_unit.exponent) @@ -133,6 +134,7 @@ def _add_vessel(vessel: pe.Vessel): """Add vessels to the SBML model.""" compartment = model.createCompartment() + compartment.initDefaults() compartment.setId(vessel.id) compartment.setName(vessel.name) compartment.setConstant(True) @@ -141,6 +143,7 @@ def _add_vessel(vessel: pe.Vessel): if vessel.unit in units: compartment.setUnits(_get_unit_id(vessel.unit)) + model.setVolumeUnits(_get_unit_id(vessel.unit)) else: raise ValueError(f"Unit {vessel.unit} not found in units") @@ -149,6 +152,7 @@ def _add_small_mol(small_mol: pe.SmallMolecule): """Add small molecules to the SBML model.""" species = model.createSpecies() + species.initDefaults() species.setId(small_mol.id) species.setName(small_mol.name) species.setCompartment(small_mol.vessel_id) @@ -174,6 +178,7 @@ def _add_protein(protein: pe.Protein): """Add proteins to the SBML model.""" species = model.createSpecies() + species.initDefaults() species.setId(protein.id) species.setName(protein.name) species.setConstant(protein.constant) @@ -199,8 +204,10 @@ def _add_complex(complex_: pe.Complex): """Add complexes to the SBML model.""" species = model.createSpecies() + species.initDefaults() species.setId(complex_.id) species.setName(complex_.name) + species.setCompartment(model.getCompartment(0).getId()) species.setConstant(True) species.setSBOTerm("SBO:0000296") # Complex species.appendAnnotation(rdf.to_rdf_xml(complex_)) @@ -237,6 +244,7 @@ def _add_reaction(reaction: pe.Reaction, index: int): """Add reactions to the SBML model.""" sbml_reaction = model.createReaction() + sbml_reaction.initDefaults() sbml_reaction.setName(reaction.name) sbml_reaction.setId(reaction.id) sbml_reaction.setReversible(reaction.reversible) @@ -250,6 +258,8 @@ def _add_reaction(reaction: pe.Reaction, index: int): species.species_id, )() + species_ref.initDefaults() + species_ref.setConstant(True) species_ref.setSpecies(species.species_id) species_ref.setStoichiometry(abs(species.stoichiometry)) @@ -300,6 +310,9 @@ def _add_parameter(parameter: pe.Parameter): if parameter.value: sbml_param.setValue(parameter.value) + elif parameter.initial_value: + sbml_param.setValue(parameter.initial_value) + if parameter.unit: sbml_param.setUnits(_get_unit_id(parameter.unit)) From ca68f4f7663f3e456e09090ddfa546fedf338564 Mon Sep 17 00:00:00 2001 From: "Frank T. Bergmann" Date: Fri, 23 Aug 2024 14:24:58 +0200 Subject: [PATCH 052/172] - omex uses /tab-separated-values for tsv --- pyenzyme/sbml/omex.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyenzyme/sbml/omex.py b/pyenzyme/sbml/omex.py index c7aba86b..e8f28d3f 100644 --- a/pyenzyme/sbml/omex.py +++ b/pyenzyme/sbml/omex.py @@ -82,7 +82,7 @@ def read_sbml_omex(path: Path) -> tuple[Path, Path | None]: # but for now just get the first one data_entry = None for entry in omex.manifest.entries: - if '/csv' in entry.format or '/tsv' in entry.format: + if '/csv' in entry.format or '/tsv' in entry.format or '/tab-separated-values' in entry.format: data_entry = entry.location break data = omex.get_path(data_entry) From c895c2632036b478aa6d8fddbac3def28e8b9d20 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 19:45:50 +0200 Subject: [PATCH 053/172] update dev examples --- dev-examples/enzml_legacy_to_v2.json | 2305 ++++++++++++++ dev-examples/legacy/Model_4.omex | Bin 0 -> 13024 bytes dev-examples/legacy/enzml_legacy_to_v2.json | 3185 +++++++++++++++++++ dev-examples/odes/enzymeml.json | 352 +- dev-examples/odes/odes_example.omex | Bin 2425 -> 2427 bytes dev-examples/odes/odes_example.xml | 22 +- dev-examples/odes/odes_example_test.xml | 241 ++ dev-examples/sbml_export_odes.py | 7 +- dev-examples/sbml_import_legacy.py | 8 + dev-examples/sbml_import_odes.py | 8 +- dev-examples/v1.xml | 731 +++++ 11 files changed, 6664 insertions(+), 195 deletions(-) create mode 100644 dev-examples/enzml_legacy_to_v2.json create mode 100644 dev-examples/legacy/Model_4.omex create mode 100644 dev-examples/legacy/enzml_legacy_to_v2.json create mode 100644 dev-examples/odes/odes_example_test.xml create mode 100644 dev-examples/sbml_import_legacy.py create mode 100644 dev-examples/v1.xml diff --git a/dev-examples/enzml_legacy_to_v2.json b/dev-examples/enzml_legacy_to_v2.json new file mode 100644 index 00000000..ac173d6a --- /dev/null +++ b/dev-examples/enzml_legacy_to_v2.json @@ -0,0 +1,2305 @@ +{ + "name": "EnzymeML_Lagerman", + "references": [], + "created": null, + "modified": null, + "creators": [], + "vessels": [ + { + "id": "v0", + "name": "Falcon Tube", + "volume": 5.0, + "unit": { + "id": "u0", + "name": "ml", + "base_units": [ + { + "kind": "UnitType.LITRE", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 + } + ] + }, + "constant": true + } + ], + "proteins": [ + { + "id": "p0", + "name": "E", + "constant": false, + "sequence": "MRRLAACLLATAVAAATSAALAQTSPMTPDITGKPFVAGDAANDYVKREVMIPMRDGVKLHTVIVLPKGARNAPIVLTRTPYDASGRTERLASPHMKDLLSAGDDVFVEGGYIRVFQDVRGKYGSEGDYVMTRPLRGPLNPSEVDHATDAWDTIDWLVKNVKESNGKVGMIGSSYEGFTVVMALTNPHPALKVAAPESPMIDGWMGDDWFNYGAFRQVNFDYFTGQLSKRGKGAGIPRQGHDDYSNFLQAGSAGDFAKAAGLEQLPWWHKLTEHAAYDSFWQEQALDKVMARTPLKVPTMWLQGLWDQEDMWGAIHSYAAMEPRDKSNKLNYLVMGPWRHSQVNSDASSLGALNFDGDTARQFRRDVLRPFFDQYLVDGAPKAATPPVFIYNTGENHWDRLQAWPRSCDKGCAAKSKPLYLQAGGKLSFQAPTAAQPAFEEYVSDPAKPVPFVPRPVDFGDRSMWTTWLVHDQRFVDGRPDVLTFVTEPLTAPLQIAGAPDVHLQASTSGSDSDWVVKLIDVYPDEMAADPKMGGYELPVSMAIFRGRYRESFSTPAPLAANQPLAFQFGLPTANHTFQPGHRVMVQVQSSLFPLYDRNPQTYVPNVFFAKPGDYQKATQRVYVAPGQGSYISLPVR", + "vessel_id": "v0", + "ecnumber": "3.1.1.43", + "organism": "Xanthomonas campestris pv. campestris", + "organism_tax_id": null, + "references": [] + }, + { + "id": "p1", + "name": "EA", + "constant": false, + "sequence": "MRRLAACLLATAVAAATSAALAQTSPMTPDITGKPFVAGDAANDYVKREVMIPMRDGVKLHTVIVLPKGARNAPIVLTRTPYDASGRTERLASPHMKDLLSAGDDVFVEGGYIRVFQDVRGKYGSEGDYVMTRPLRGPLNPSEVDHATDAWDTIDWLVKNVKESNGKVGMIGSSYEGFTVVMALTNPHPALKVAAPESPMIDGWMGDDWFNYGAFRQVNFDYFTGQLSKRGKGAGIPRQGHDDYSNFLQAGSAGDFAKAAGLEQLPWWHKLTEHAAYDSFWQEQALDKVMARTPLKVPTMWLQGLWDQEDMWGAIHSYAAMEPRDKSNKLNYLVMGPWRHSQVNSDASSLGALNFDGDTARQFRRDVLRPFFDQYLVDGAPKAATPPVFIYNTGENHWDRLQAWPRSCDKGCAAKSKPLYLQAGGKLSFQAPTAAQPAFEEYVSDPAKPVPFVPRPVDFGDRSMWTTWLVHDQRFVDGRPDVLTFVTEPLTAPLQIAGAPDVHLQASTSGSDSDWVVKLIDVYPDEMAADPKMGGYELPVSMAIFRGRYRESFSTPAPLAANQPLAFQFGLPTANHTFQPGHRVMVQVQSSLFPLYDRNPQTYVPNVFFAKPGDYQKATQRVYVAPGQGSYISLPVR", + "vessel_id": "v0", + "ecnumber": "3.1.1.43", + "organism": "Xanthomonas campestris pv. campestris", + "organism_tax_id": null, + "references": [] + }, + { + "id": "p2", + "name": "ED", + "constant": false, + "sequence": "MRRLAACLLATAVAAATSAALAQTSPMTPDITGKPFVAGDAANDYVKREVMIPMRDGVKLHTVIVLPKGARNAPIVLTRTPYDASGRTERLASPHMKDLLSAGDDVFVEGGYIRVFQDVRGKYGSEGDYVMTRPLRGPLNPSEVDHATDAWDTIDWLVKNVKESNGKVGMIGSSYEGFTVVMALTNPHPALKVAAPESPMIDGWMGDDWFNYGAFRQVNFDYFTGQLSKRGKGAGIPRQGHDDYSNFLQAGSAGDFAKAAGLEQLPWWHKLTEHAAYDSFWQEQALDKVMARTPLKVPTMWLQGLWDQEDMWGAIHSYAAMEPRDKSNKLNYLVMGPWRHSQVNSDASSLGALNFDGDTARQFRRDVLRPFFDQYLVDGAPKAATPPVFIYNTGENHWDRLQAWPRSCDKGCAAKSKPLYLQAGGKLSFQAPTAAQPAFEEYVSDPAKPVPFVPRPVDFGDRSMWTTWLVHDQRFVDGRPDVLTFVTEPLTAPLQIAGAPDVHLQASTSGSDSDWVVKLIDVYPDEMAADPKMGGYELPVSMAIFRGRYRESFSTPAPLAANQPLAFQFGLPTANHTFQPGHRVMVQVQSSLFPLYDRNPQTYVPNVFFAKPGDYQKATQRVYVAPGQGSYISLPVR", + "vessel_id": "v0", + "ecnumber": "3.1.1.43", + "organism": "Xanthomonas campestris pv. campestris", + "organism_tax_id": null, + "references": [] + } + ], + "complexes": [ + { + "id": "c0", + "name": "E\u00b7PGME", + "constant": false, + "participants": [ + "p0", + "s0" + ] + }, + { + "id": "c1", + "name": "E\u00b77-ADCA", + "constant": false, + "participants": [ + "p0", + "s1" + ] + }, + { + "id": "c2", + "name": "E\u00b7PG", + "constant": false, + "participants": [ + "p0", + "s3" + ] + }, + { + "id": "c3", + "name": "E\u00b7PGME\u00b7PGME", + "constant": false, + "participants": [ + "p0", + "s0", + "s0" + ] + }, + { + "id": "c4", + "name": "EA\u00b77-ADCA", + "constant": false, + "participants": [ + "p1", + "s1" + ] + }, + { + "id": "c5", + "name": "EA\u00b7PGME", + "constant": false, + "participants": [ + "p1", + "s0" + ] + }, + { + "id": "c6", + "name": "E\u00b7CEX", + "constant": false, + "participants": [ + "p0", + "s2" + ] + } + ], + "small_molecules": [ + { + "id": "s0", + "name": "PGME", + "constant": false, + "vessel_id": "v0", + "canonical_smiles": null, + "inchi": null, + "inchikey": null, + "references": [] + }, + { + "id": "s1", + "name": "7-ADCA", + "constant": false, + "vessel_id": "v0", + "canonical_smiles": null, + "inchi": null, + "inchikey": null, + "references": [] + }, + { + "id": "s2", + "name": "CEX", + "constant": false, + "vessel_id": "v0", + "canonical_smiles": null, + "inchi": null, + "inchikey": null, + "references": [] + }, + { + "id": "s3", + "name": "PG", + "constant": false, + "vessel_id": "v0", + "canonical_smiles": null, + "inchi": null, + "inchikey": null, + "references": [] + } + ], + "reactions": [ + { + "id": "r0", + "name": "reaction-1", + "reversible": false, + "kinetic_law": { + "equation": "v_r * (K_n * c1 - p0 * s1)", + "equation_type": "EquationType.RATE_LAW", + "species_id": null, + "variables": [ + { + "id": "c1", + "name": "c1", + "symbol": "c1" + }, + { + "id": "p0", + "name": "p0", + "symbol": "p0" + }, + { + "id": "s1", + "name": "s1", + "symbol": "s1" + } + ] + }, + "species": [ + { + "species_id": "c1", + "stoichiometry": -1.0 + }, + { + "species_id": "p0", + "stoichiometry": 1.0 + }, + { + "species_id": "s1", + "stoichiometry": 1.0 + } + ], + "modifiers": [] + }, + { + "id": "r1", + "name": "reaction-2", + "reversible": false, + "kinetic_law": { + "equation": "v_r * (K_s * c0 - p0 * s0)", + "equation_type": "EquationType.RATE_LAW", + "species_id": null, + "variables": [ + { + "id": "c0", + "name": "c0", + "symbol": "c0" + }, + { + "id": "p0", + "name": "p0", + "symbol": "p0" + }, + { + "id": "s0", + "name": "s0", + "symbol": "s0" + } + ] + }, + "species": [ + { + "species_id": "c0", + "stoichiometry": -1.0 + }, + { + "species_id": "p0", + "stoichiometry": 1.0 + }, + { + "species_id": "s0", + "stoichiometry": 1.0 + } + ], + "modifiers": [] + }, + { + "id": "r10", + "name": "reaction-11", + "reversible": false, + "kinetic_law": { + "equation": "k_4 * c4 - k_4b * c6", + "equation_type": "EquationType.RATE_LAW", + "species_id": null, + "variables": [ + { + "id": "c4", + "name": "c4", + "symbol": "c4" + }, + { + "id": "c6", + "name": "c6", + "symbol": "c6" + } + ] + }, + "species": [ + { + "species_id": "c4", + "stoichiometry": -1.0 + }, + { + "species_id": "c6", + "stoichiometry": 1.0 + } + ], + "modifiers": [] + }, + { + "id": 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"enzml:EnzymeMLDocument/bb1cafa6-fe2a-4ad1-b482-5f70fcddb14d", "@type": [ "enzml:EnzymeMLDocument" ], @@ -32,7 +32,7 @@ "name": "schema:name", "volume": "OBO:OBI_0002139" }, - "@id": "enzml:Vessel/fedbf6f5-4515-4868-830f-1b41033de3b8", + "@id": "enzml:Vessel/cf0cec45-255b-4aac-80af-8a0ba95f0c8a", "@type": [ "enzml:Vessel", "OBO:OBI_0400081" @@ -59,7 +59,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/9f6745b1-66d0-4180-b1ac-c10cc8e87c96", + "@id": "enzml:BaseUnit/5b814786-75f3-4d74-8d67-e1e898835ea9", "@type": [ "enzml:BaseUnit" ], @@ -96,7 +96,7 @@ "@type": "@id" } }, - "@id": "enzml:Protein/d8bc713a-bcf5-4c24-981b-16a7baa1cc0b", + "@id": "enzml:Protein/cd86e6ac-619a-471f-9c25-7c9de9e69ecd", "@type": [ "enzml:Protein", "schema:Protein" @@ -127,7 +127,7 @@ "@type": "@id" } }, - "@id": "enzml:Complex/ef2c11f9-4278-487e-94cc-fc94fb622a47", + "@id": "enzml:Complex/1a22de61-05d9-42b0-9f59-8d7f12350d82", "@type": [ "enzml:Complex" ], @@ -160,7 +160,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/58414ec1-a6f1-42dc-94e5-1380c63b20a2", + "@id": "enzml:SmallMolecule/7ddb6f4f-e481-44b4-a492-c33a11f69d20", "@type": [ "enzml:SmallMolecule" ], @@ -191,7 +191,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/9c87ae6f-44b4-44db-bd5a-e4f7b99ddd19", + "@id": "enzml:SmallMolecule/821a5000-8817-494a-bef6-8d6ca7a79063", "@type": [ "enzml:SmallMolecule" ], @@ -219,7 +219,7 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/0426ea51-df1f-43d8-9e12-a21f95fc9c2f", + "@id": "enzml:Measurement/a0bb13f4-09e2-4ef6-88c3-81a45783d52a", "@type": [ "enzml:Measurement" ], @@ -235,7 +235,7 @@ "@type": "@id" } }, - "@id": "enzml:MeasurementData/f8664861-2026-4a5b-97a0-35bae4e99892", + "@id": "enzml:MeasurementData/d2b27968-a75d-4f7b-992f-74bd2601cf83", "@type": [ "enzml:MeasurementData" ], @@ -260,7 +260,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/1e8d1272-168b-497c-a82f-9adaf7042d23", + "@id": "enzml:BaseUnit/5a6b868d-f0e5-46c1-99c6-c6ad46b0bef6", "@type": [ "enzml:BaseUnit" ], @@ -274,7 +274,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/7ded7917-83b4-4507-a055-ab1d19b5341b", + "@id": "enzml:BaseUnit/798cadb6-71d8-4e9d-a8f9-aaa52c85a143", "@type": [ "enzml:BaseUnit" ], @@ -284,6 +284,33 @@ } ] }, + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", + "data": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", @@ -303,7 +330,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/a2d6d606-d789-40e4-8246-0a2af736575f", + "@id": "enzml:BaseUnit/0aa687a8-60e2-4586-97b4-ae4c53eb16a3", "@type": [ "enzml:BaseUnit" ], @@ -313,33 +340,6 @@ } ] }, - "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", - "data": [ - 0.0, - 1.0, - 2.0, - 3.0, - 4.0, - 5.0, - 6.0, - 7.0, - 8.0, - 9.0, - 10.0 - ], - "time": [ - 0.0, - 1.0, - 2.0, - 3.0, - 4.0, - 5.0, - 6.0, - 7.0, - 8.0, - 9.0, - 10.0 - ], "is_simulated": false }, { @@ -351,7 +351,7 @@ "@type": "@id" } }, - "@id": "enzml:MeasurementData/ba922ab1-567e-4cdd-a015-cb00baf1dc9a", + "@id": "enzml:MeasurementData/6e9ff229-02f2-45dd-ab30-00092b574a18", "@type": [ "enzml:MeasurementData" ], @@ -376,7 +376,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/1e8d1272-168b-497c-a82f-9adaf7042d23", + "@id": "enzml:BaseUnit/5a6b868d-f0e5-46c1-99c6-c6ad46b0bef6", "@type": [ "enzml:BaseUnit" ], @@ -390,7 +390,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/7ded7917-83b4-4507-a055-ab1d19b5341b", + "@id": "enzml:BaseUnit/798cadb6-71d8-4e9d-a8f9-aaa52c85a143", "@type": [ "enzml:BaseUnit" ], @@ -400,6 +400,33 @@ } ] }, + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", + "data": [ + 10.0, + 9.0, + 8.0, + 7.0, + 6.0, + 5.0, + 4.0, + 3.0, + 2.0, + 1.0, + 0.0 + ], + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", @@ -419,7 +446,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/a2d6d606-d789-40e4-8246-0a2af736575f", + "@id": "enzml:BaseUnit/0aa687a8-60e2-4586-97b4-ae4c53eb16a3", "@type": [ "enzml:BaseUnit" ], @@ -429,33 +456,6 @@ } ] }, - "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", - "data": [ - 10.0, - 9.0, - 8.0, - 7.0, - 6.0, - 5.0, - 4.0, - 3.0, - 2.0, - 1.0, - 0.0 - ], - "time": [ - 0.0, - 1.0, - 2.0, - 3.0, - 4.0, - 5.0, - 6.0, - 7.0, - 8.0, - 9.0, - 10.0 - ], "is_simulated": false } ], @@ -480,7 +480,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/1a31c8a4-6212-4810-804f-59c5cffd10c5", + "@id": "enzml:BaseUnit/3da5f43e-3bc8-47d2-b646-d964453b6b8c", "@type": [ "enzml:BaseUnit" ], @@ -504,7 +504,7 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/d81322ba-5094-446e-b224-4795ff25615a", + "@id": "enzml:Measurement/1c7c87dc-9faa-49b5-8775-0d55391dcfb3", "@type": [ "enzml:Measurement" ], @@ -520,7 +520,7 @@ "@type": "@id" } }, - "@id": "enzml:MeasurementData/2c021e30-5731-4893-baf4-f337b46a51ca", + "@id": "enzml:MeasurementData/a6e83621-8b3b-4dfe-8ac7-010c8b666330", "@type": [ "enzml:MeasurementData" ], @@ -545,7 +545,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/1e8d1272-168b-497c-a82f-9adaf7042d23", + "@id": "enzml:BaseUnit/5a6b868d-f0e5-46c1-99c6-c6ad46b0bef6", "@type": [ "enzml:BaseUnit" ], @@ -559,7 +559,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/7ded7917-83b4-4507-a055-ab1d19b5341b", + "@id": "enzml:BaseUnit/798cadb6-71d8-4e9d-a8f9-aaa52c85a143", "@type": [ "enzml:BaseUnit" ], @@ -569,6 +569,33 @@ } ] }, + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", + "data": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", @@ -588,7 +615,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/a2d6d606-d789-40e4-8246-0a2af736575f", + "@id": "enzml:BaseUnit/0aa687a8-60e2-4586-97b4-ae4c53eb16a3", "@type": [ "enzml:BaseUnit" ], @@ -598,33 +625,6 @@ } ] }, - "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", - "data": [ - 0.0, - 1.0, - 2.0, - 3.0, - 4.0, - 5.0, - 6.0, - 7.0, - 8.0, - 9.0, - 10.0 - ], - "time": [ - 0.0, - 1.0, - 2.0, - 3.0, - 4.0, - 5.0, - 6.0, - 7.0, - 8.0, - 9.0, - 10.0 - ], "is_simulated": false }, { @@ -636,7 +636,7 @@ "@type": "@id" } }, - "@id": "enzml:MeasurementData/458293b5-22ca-41c2-9b25-0f98c05ce480", + "@id": "enzml:MeasurementData/1314c3a8-6422-4192-985c-eb8fa1d99980", "@type": [ "enzml:MeasurementData" ], @@ -661,7 +661,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/1e8d1272-168b-497c-a82f-9adaf7042d23", + "@id": "enzml:BaseUnit/5a6b868d-f0e5-46c1-99c6-c6ad46b0bef6", "@type": [ "enzml:BaseUnit" ], @@ -675,7 +675,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/7ded7917-83b4-4507-a055-ab1d19b5341b", + "@id": "enzml:BaseUnit/798cadb6-71d8-4e9d-a8f9-aaa52c85a143", "@type": [ "enzml:BaseUnit" ], @@ -685,6 +685,33 @@ } ] }, + "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", + "data": [ + 10.0, + 9.0, + 8.0, + 7.0, + 6.0, + 5.0, + 4.0, + 3.0, + 2.0, + 1.0, + 0.0 + ], + "time": [ + 0.0, + 1.0, + 2.0, + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ], "time_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", @@ -704,7 +731,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/a2d6d606-d789-40e4-8246-0a2af736575f", + "@id": "enzml:BaseUnit/0aa687a8-60e2-4586-97b4-ae4c53eb16a3", "@type": [ "enzml:BaseUnit" ], @@ -714,33 +741,6 @@ } ] }, - "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", - "data": [ - 10.0, - 9.0, - 8.0, - 7.0, - 6.0, - 5.0, - 4.0, - 3.0, - 2.0, - 1.0, - 0.0 - ], - "time": [ - 0.0, - 1.0, - 2.0, - 3.0, - 4.0, - 5.0, - 6.0, - 7.0, - 8.0, - 9.0, - 10.0 - ], "is_simulated": false } ], @@ -765,7 +765,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/1a31c8a4-6212-4810-804f-59c5cffd10c5", + "@id": "enzml:BaseUnit/3da5f43e-3bc8-47d2-b646-d964453b6b8c", "@type": [ "enzml:BaseUnit" ], @@ -787,7 +787,7 @@ "@type": "@id" } }, - "@id": "enzml:Equation/07b5e8fb-729c-4e1d-892e-46be9e9e6d56", + "@id": "enzml:Equation/a4665d71-b871-4ed3-8a7b-d5e7442b8725", "@type": [ "enzml:Equation" ], @@ -802,7 +802,7 @@ "schema": "https://schema.org/", "id": "schema:identifier" }, - "@id": "enzml:Variable/edde9e7a-ce67-4af4-8788-0f96716d0e85", + "@id": "enzml:Variable/441b9040-316f-49cb-a330-31e97b577f17", "@type": [ "enzml:Variable" ], @@ -821,7 +821,7 @@ "@type": "@id" } }, - "@id": "enzml:Equation/77814fb8-a848-4759-8354-32a9f7a19a49", + "@id": "enzml:Equation/5f294b78-c121-482d-99be-3e46bd61590a", "@type": [ "enzml:Equation" ], @@ -842,25 +842,25 @@ "@type": "@id" } }, - "@id": "enzml:Parameter/8bd75c32-151d-4a05-9e36-be114db34334", + "@id": "enzml:Parameter/8edaa5b7-3744-46b8-ae22-17ed824e4a61", "@type": [ "enzml:Parameter" ], - "id": "E_tot", - "name": "E_tot", - "symbol": "E_tot", + "id": "kcat", + "name": "kcat", + "symbol": "kcat", "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "OBO:UO_0000063", + "@id": "OBO:UO_0000010", "@type": [ "OBO:UO_0000000" ], - "id": "u2", - "name": "mmol / l", + "id": "u4", + "name": "1 / s", "base_units": [ { "@context": { @@ -868,25 +868,11 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/1e8d1272-168b-497c-a82f-9adaf7042d23", + "@id": "enzml:BaseUnit/0aa687a8-60e2-4586-97b4-ae4c53eb16a3", "@type": [ "enzml:BaseUnit" ], - "kind": "mole", - "exponent": 1, - "scale": -3.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/7ded7917-83b4-4507-a055-ab1d19b5341b", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "litre", + "kind": "second", "exponent": -1, "scale": 1.0 } @@ -907,13 +893,13 @@ "@type": "@id" } }, - "@id": "enzml:Parameter/e63b8e5b-56a5-4b8e-98be-18e829b179f1", + "@id": "enzml:Parameter/8d12e348-6953-44af-b5b4-58691e08b71b", "@type": [ "enzml:Parameter" ], - "id": "K_m", - "name": "K_m", - "symbol": "K_m", + "id": "E_tot", + "name": "E_tot", + "symbol": "E_tot", "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", @@ -933,7 +919,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/1e8d1272-168b-497c-a82f-9adaf7042d23", + "@id": "enzml:BaseUnit/5a6b868d-f0e5-46c1-99c6-c6ad46b0bef6", "@type": [ "enzml:BaseUnit" ], @@ -947,7 +933,7 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/7ded7917-83b4-4507-a055-ab1d19b5341b", + "@id": "enzml:BaseUnit/798cadb6-71d8-4e9d-a8f9-aaa52c85a143", "@type": [ "enzml:BaseUnit" ], @@ -972,25 +958,25 @@ "@type": "@id" } }, - "@id": "enzml:Parameter/158b36f9-74bd-4148-b3f8-5a2a77ea5571", + "@id": "enzml:Parameter/c95843d7-8798-455d-b48e-e8db56971579", "@type": [ "enzml:Parameter" ], - "id": "kcat", - "name": "kcat", - "symbol": "kcat", + "id": "K_m", + "name": "K_m", + "symbol": "K_m", "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "OBO:UO_0000010", + "@id": "OBO:UO_0000063", "@type": [ "OBO:UO_0000000" ], - "id": "u4", - "name": "1 / s", + "id": "u2", + "name": "mmol / l", "base_units": [ { "@context": { @@ -998,11 +984,25 @@ "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/" }, - "@id": "enzml:BaseUnit/a2d6d606-d789-40e4-8246-0a2af736575f", + "@id": "enzml:BaseUnit/5a6b868d-f0e5-46c1-99c6-c6ad46b0bef6", "@type": [ "enzml:BaseUnit" ], - "kind": "second", + "kind": "mole", + "exponent": 1, + "scale": -3.0 + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/" + }, + 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a/dev-examples/odes/odes_example.xml +++ b/dev-examples/odes/odes_example.xml @@ -88,7 +88,7 @@ - + Vessel 1 10.0 @@ -102,7 +102,7 @@ - + Enzyme MTEY E.coli @@ -121,7 +121,7 @@ - + Enzyme-Substrate Complex @@ -135,7 +135,7 @@ - + Substrate @@ -149,7 +149,7 @@ - + Product @@ -162,10 +162,10 @@ - + - + @@ -176,10 +176,10 @@ - + - + @@ -190,10 +190,10 @@ - + - + diff --git a/dev-examples/odes/odes_example_test.xml b/dev-examples/odes/odes_example_test.xml new file mode 100644 index 00000000..aac8bbc2 --- /dev/null +++ b/dev-examples/odes/odes_example_test.xml @@ -0,0 +1,241 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Vessel 1 + 10.0 + + + + + + + + + + + + + Enzyme + MTEY + E.coli + + + + + + 1.1.1.1 + E.coli + 12345 + MTEY + + + + + + + + Enzyme-Substrate Complex + + + + + p0 + s0 + + + + + + + + Substrate + + + + + QTBSBXVTEAMEQO-UHFFFAOYSA-N + + + + + + + + + Product + + + + + QTBSBXVTEAMEQO-UHFFFAOYSA-N + + + + + + + + + + + + + + + 0.0 + 100.0 + 0.1 + + + + + + + + + + + + 0.0 + 100.0 + 0.1 + + + + + + + + + + + + 0.0 + 100.0 + 0.1 + + + + + + + + 100 + + + + + + + + + + + + + + + + E_tot + kcat + s0 + + + + K_m + s0 + + + + + + + diff --git a/dev-examples/sbml_export_odes.py b/dev-examples/sbml_export_odes.py index 11e3b57e..22fd094a 100644 --- a/dev-examples/sbml_export_odes.py +++ b/dev-examples/sbml_export_odes.py @@ -1,3 +1,5 @@ +import rich + import pyenzyme as pe import pyenzyme.equations as peq from pyenzyme.sbml.serializer import to_sbml @@ -70,9 +72,12 @@ meas.temperature_unit = K meas.ph = 7.0 +rich.print(to_sbml(doc)[0]) # Write sbml doc to file -with open("./dev-examples/odes/odes_example.xml", "w") as file: +with open("./dev-examples/odes/odes_example_test.xml", "w") as file: file.write(to_sbml(doc)[0]) +exit() + # Write to omex file doc.to_sbml("./dev-examples/odes/odes_example.omex") diff --git a/dev-examples/sbml_import_legacy.py b/dev-examples/sbml_import_legacy.py new file mode 100644 index 00000000..84012f8d --- /dev/null +++ b/dev-examples/sbml_import_legacy.py @@ -0,0 +1,8 @@ +from pathlib import Path + +import pyenzyme as pe + +doc = pe.EnzymeMLDocument.from_sbml(path=Path("./tests/fixtures/sbml/v1_example.omex")) + +with open("./tests/fixtures/sbml/v1_example_enzml.json", "w") as f: + f.write(doc.model_dump_json(indent=2)) diff --git a/dev-examples/sbml_import_odes.py b/dev-examples/sbml_import_odes.py index f630d6aa..a652e0a7 100644 --- a/dev-examples/sbml_import_odes.py +++ b/dev-examples/sbml_import_odes.py @@ -5,12 +5,6 @@ import pyenzyme as pe from pyenzyme.tools import to_dict_wo_json_ld -doc = pe.EnzymeMLDocument.from_sbml( - path=Path("./dev-examples/reactions/reactions_example.omex") -) +doc = pe.EnzymeMLDocument.from_sbml(path=Path("./dev-examples/odes/odes_example.omex")) rich.print(to_dict_wo_json_ld(doc)) - -df = doc.to_pandas(doc) - -rich.print(df) diff --git a/dev-examples/v1.xml b/dev-examples/v1.xml new file mode 100644 index 00000000..989e87dd --- /dev/null +++ b/dev-examples/v1.xml @@ -0,0 +1,731 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + MRRLAACLLATAVAAATSAALAQTSPMTPDITGKPFVAGDAANDYVKREVMIPMRDGVKLHTVIVLPKGARNAPIVLTRTPYDASGRTERLASPHMKDLLSAGDDVFVEGGYIRVFQDVRGKYGSEGDYVMTRPLRGPLNPSEVDHATDAWDTIDWLVKNVKESNGKVGMIGSSYEGFTVVMALTNPHPALKVAAPESPMIDGWMGDDWFNYGAFRQVNFDYFTGQLSKRGKGAGIPRQGHDDYSNFLQAGSAGDFAKAAGLEQLPWWHKLTEHAAYDSFWQEQALDKVMARTPLKVPTMWLQGLWDQEDMWGAIHSYAAMEPRDKSNKLNYLVMGPWRHSQVNSDASSLGALNFDGDTARQFRRDVLRPFFDQYLVDGAPKAATPPVFIYNTGENHWDRLQAWPRSCDKGCAAKSKPLYLQAGGKLSFQAPTAAQPAFEEYVSDPAKPVPFVPRPVDFGDRSMWTTWLVHDQRFVDGRPDVLTFVTEPLTAPLQIAGAPDVHLQASTSGSDSDWVVKLIDVYPDEMAADPKMGGYELPVSMAIFRGRYRESFSTPAPLAANQPLAFQFGLPTANHTFQPGHRVMVQVQSSLFPLYDRNPQTYVPNVFFAKPGDYQKATQRVYVAPGQGSYISLPVR + + 3.1.1.43 + B0RS62 + Xanthomonas campestris pv. campestris + + + + + + + + MRRLAACLLATAVAAATSAALAQTSPMTPDITGKPFVAGDAANDYVKREVMIPMRDGVKLHTVIVLPKGARNAPIVLTRTPYDASGRTERLASPHMKDLLSAGDDVFVEGGYIRVFQDVRGKYGSEGDYVMTRPLRGPLNPSEVDHATDAWDTIDWLVKNVKESNGKVGMIGSSYEGFTVVMALTNPHPALKVAAPESPMIDGWMGDDWFNYGAFRQVNFDYFTGQLSKRGKGAGIPRQGHDDYSNFLQAGSAGDFAKAAGLEQLPWWHKLTEHAAYDSFWQEQALDKVMARTPLKVPTMWLQGLWDQEDMWGAIHSYAAMEPRDKSNKLNYLVMGPWRHSQVNSDASSLGALNFDGDTARQFRRDVLRPFFDQYLVDGAPKAATPPVFIYNTGENHWDRLQAWPRSCDKGCAAKSKPLYLQAGGKLSFQAPTAAQPAFEEYVSDPAKPVPFVPRPVDFGDRSMWTTWLVHDQRFVDGRPDVLTFVTEPLTAPLQIAGAPDVHLQASTSGSDSDWVVKLIDVYPDEMAADPKMGGYELPVSMAIFRGRYRESFSTPAPLAANQPLAFQFGLPTANHTFQPGHRVMVQVQSSLFPLYDRNPQTYVPNVFFAKPGDYQKATQRVYVAPGQGSYISLPVR + + 3.1.1.43 + B0RS62 + Xanthomonas campestris pv. campestris + + x + + + + + + + MRRLAACLLATAVAAATSAALAQTSPMTPDITGKPFVAGDAANDYVKREVMIPMRDGVKLHTVIVLPKGARNAPIVLTRTPYDASGRTERLASPHMKDLLSAGDDVFVEGGYIRVFQDVRGKYGSEGDYVMTRPLRGPLNPSEVDHATDAWDTIDWLVKNVKESNGKVGMIGSSYEGFTVVMALTNPHPALKVAAPESPMIDGWMGDDWFNYGAFRQVNFDYFTGQLSKRGKGAGIPRQGHDDYSNFLQAGSAGDFAKAAGLEQLPWWHKLTEHAAYDSFWQEQALDKVMARTPLKVPTMWLQGLWDQEDMWGAIHSYAAMEPRDKSNKLNYLVMGPWRHSQVNSDASSLGALNFDGDTARQFRRDVLRPFFDQYLVDGAPKAATPPVFIYNTGENHWDRLQAWPRSCDKGCAAKSKPLYLQAGGKLSFQAPTAAQPAFEEYVSDPAKPVPFVPRPVDFGDRSMWTTWLVHDQRFVDGRPDVLTFVTEPLTAPLQIAGAPDVHLQASTSGSDSDWVVKLIDVYPDEMAADPKMGGYELPVSMAIFRGRYRESFSTPAPLAANQPLAFQFGLPTANHTFQPGHRVMVQVQSSLFPLYDRNPQTYVPNVFFAKPGDYQKATQRVYVAPGQGSYISLPVR + + 3.1.1.43 + B0RS62 + Xanthomonas campestris pv. campestris + + + + + + + p0 + s0 + + + + + + + p0 + s1 + + + + + + + p0 + s3 + + + + + + + p0 + s0 + s0 + + + + + + + p1 + s1 + + + + + + + p1 + s0 + + + + + + + p0 + s2 + + + + + + + 1S/C9H11NO2/c1-12-9(11)7-10-8-5-3-2-4-6-8/h2-6,10H,7H2,1H3 + O(C([C@@H](C1=CC=CC=C1)N([H])[H])=O)C + + + + + + + + 1S/C8H10N2O3S/c1-3-2-14-7-4(9)6(11)10(7)5(3)8(12)13/h4,7H,2,9H2,1H3,(H,12,13)/t4-,7-/m1/s1 + + CC1=C(N2[C@H](SC1)[C@H](N)C2=O)C(O)=O + + + + + + + + 1S/C16H17N3O4S/c1-8-7-24-15-11(14(21)19(15)12(8)16(22)23)18-13(20)10(17)9-5-3-2-4-6-9/h2-6,10-11,15H,7,17H2,1H3,(H,18,20)(H,22,23)/t10-,11-,15-/m1/s1 + + CC1=C(N2[C@@H]([C@@H](C2=O)NC(=O)[C@@H](C3=CC=CC=C3)N)SC1)C(=O)O + + + + + + + + 1S/C8H9NO2/c9-7(8(10)11)6-4-2-1-3-5-6/h1-5,7H,9H2,(H,10,11) + C1=CC=C(C=C1)[C@H](C(=O)O)N + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + v_r + + + + + K_n + c1 + + + + p0 + s1 + + + + + + + + + + + + + + + + + + + v_r + + + + + K_s + c0 + + + + p0 + s0 + + + + + + + + + + + + + + + + + + + + + k_2 + c0 + + + + + + + + + + + + + + + + + + + + v_r + + + + + K_si + c3 + + + + c0 + s0 + + + + + + + + + + + + + + + + + + + v_r + + + + + K_si + c5 + + + + p1 + s0 + + + + + + + + + + + + + + + + + + + k_6 + c5 + + + + + + + + + + + + + + + + + + + + k_3 + p1 + + + + + + + + + + + + + + + + + + + + v_r + + + + + K_pg + c2 + + + + p0 + s3 + + + + + + + + + + + + + + + + + + + + + + v_r + + + + + K_n + c4 + + + + p1 + s1 + + + + + + + + + + + + + + + + + + + + k_5 + c4 + + + + + + + + + + + + + + + + + + + + + k_4 + c4 + + + + k_4b + c6 + + + + + + + + + + + + + + + + + + + + + + v_r + + + + + K_p + c6 + + + + p0 + s2 + + + + + + + + + + + + + + + + + + + + + k_d + p0 + + + + + + + + + + From 2c9a3cffcbdb33b17b63a783c85adac236ac73f1 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 19:46:06 +0200 Subject: [PATCH 054/172] add default imports --- pyenzyme/__init__.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index c667f15d..298edc2a 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -7,13 +7,16 @@ from .model import * # noqa: F403 from .sbml import to_sbml, read_sbml # noqa: F401 -from .tabular import to_pandas, read_csv, read_excel # noqa: F401 +from .tabular import to_pandas, read_csv, read_excel, from_dataframe # noqa: F401 __all__ = [ "read_enzymeml", "write_enzymeml", "to_sbml", "to_pandas", + "read_csv", + "read_excel", + "from_dataframe", ] From 428a8890dba6e87d15e13bad3162f08dd8e02d53 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 19:46:16 +0200 Subject: [PATCH 055/172] extract all files within omex --- pyenzyme/sbml/omex.py | 106 ++++++++++++++++++++++++++++++++++++++---- 1 file changed, 98 insertions(+), 8 deletions(-) diff --git a/pyenzyme/sbml/omex.py b/pyenzyme/sbml/omex.py index 1f86734a..72bb9fca 100644 --- a/pyenzyme/sbml/omex.py +++ b/pyenzyme/sbml/omex.py @@ -1,11 +1,86 @@ from __future__ import annotations +import enum import tempfile from pathlib import Path +from typing import TextIO import pandas as pd from pymetadata.omex import EntryFormat, ManifestEntry, Omex +SBML_URI = "http://identifiers.org/combine.specifications/sbml" + + +class FileURI(enum.Enum): + """ + Enum representing supported file URIs for data files. + + Attributes: + CSV (str): URI for CSV files. + TSV (str): URI for TSV files. + """ + + CSV = "http://purl.org/NET/mediatypes/text/csv" + TSV = "https://purl.org/NET/mediatypes/text/tab-separated-values" + + @classmethod + def from_uri(cls, uri: str): + """ + Returns the corresponding FileURI enum member for a given URI. + + Args: + uri (str): The URI to match. + + Returns: + FileURI: The corresponding FileURI enum member. + + Raises: + ValueError: If the URI is not supported. + """ + match uri: + case cls.CSV.value: + return cls.CSV + case cls.TSV.value: + return cls.TSV + case _: + raise ValueError(f"Unsupported file URI: {uri}") + + @classmethod + def is_supported(cls, uri): + """ + Checks if a given URI is supported. + + Args: + uri (str): The URI to check. + + Returns: + bool: True if the URI is supported, False otherwise. + """ + return uri in [e.value for e in cls] + + def to_dataframe(self, path): + """ + Converts the file at the given path to a pandas DataFrame based on the file format. + + Args: + path (str): The path to the file. + + Returns: + pd.DataFrame: The file content as a pandas DataFrame. + + Raises: + ValueError: If the file format is not supported. + """ + match self: + case self.CSV: + # Legacy format has no headers + return pd.read_csv(path, header=None) + case self.TSV: + # V2 format has headers + return pd.read_csv(path, sep="\t") + case _: + raise ValueError(f"Unsupported file format: {self}") + def create_sbml_omex( sbml_doc: str, @@ -54,20 +129,35 @@ def create_sbml_omex( omex.to_omex(out) -def read_sbml_omex(path: Path) -> tuple[Path, Path | None]: +def read_sbml_omex(path: Path) -> tuple[TextIO, dict[str, pd.DataFrame]]: """ - Read an OMEX archive and return the SBML and data file paths. + Reads an OMEX archive and extracts the SBML document and associated data files. Args: path (Path): The path to the OMEX archive. Returns: - tuple[Path, Path | None]: The SBML file path and the data file path, if available. - + tuple[str, dict[str, pd.DataFrame]]: A tuple containing the SBML document as a string and a dictionary + where keys are file locations and values are dataframes of the data files. """ - omex = Omex.from_omex(path) - sbml_file = omex.get_path("./model.xml") - data = omex.get_path("./data.tsv") - return sbml_file, data + try: + master_file = next(part for part in omex.manifest.entries if part.master) + except StopIteration: + raise ValueError("No master file found in OMEX archive") + + assert master_file.format == SBML_URI, "Master file is not SBML" + + meas_data = dict() + + for entry in omex.manifest.entries: + if not FileURI.is_supported(entry.format): + continue + + file_uri = FileURI.from_uri(entry.format) + df = file_uri.to_dataframe(omex.get_path(entry.location)) + + meas_data[entry.location] = df + + return open(omex.get_path(master_file.location)), meas_data From 7a381d8b1518b7a7ea51a9eecdb1eb53f1caa8dc Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 19:46:32 +0200 Subject: [PATCH 056/172] adapt parser and serializer to annotations --- pyenzyme/sbml/parser.py | 448 ++++++++++++++++-------------------- pyenzyme/sbml/serializer.py | 187 +++++---------- 2 files changed, 263 insertions(+), 372 deletions(-) diff --git a/pyenzyme/sbml/parser.py b/pyenzyme/sbml/parser.py index 4a67b63e..c1a5bc41 100644 --- a/pyenzyme/sbml/parser.py +++ b/pyenzyme/sbml/parser.py @@ -1,23 +1,20 @@ from __future__ import annotations import math -import xml.etree.ElementTree as ET +import re from pathlib import Path from typing import IO import libsbml as sbml # type: ignore -import rich +import pandas as pd from loguru import logger # type: ignore import pyenzyme as pe -from pyenzyme import tools +from pyenzyme import xmlutils from pyenzyme.logging import add_logger -from pyenzyme.units import M, s from . import read_sbml_omex from .ldutils import parse_sbml_rdf_annotation - -MAPPINGS = tools.read_static_file("pyenzyme.sbml", "mappings.toml") -ENZYMEML_NS = "https://www.enzymeml.org/v2" +from .versions.handler import VersionHandler, SupportedVersions def read_sbml(cls, path: Path | str): @@ -29,20 +26,27 @@ def read_sbml(cls, path: Path | str): path (Path | str): The path to the OMEX archive containing the SBML file. Returns: - An initialized EnzymeML document with extracted units, species, vessels, equations, parameters, reactions, and measurements. + An initialized EnzymeML document with extracted units, species, vessels, + equations, parameters, reactions, and measurements. """ add_logger(name="SBML") # Create globals to use in the functions global units global path_prefix - global tsv_path + global version + global enzmldoc # Read the OMEX archive and extract the SBML and TSV paths - sbml_path, tsv_path = read_sbml_omex(path) + sbml_handler, data = read_sbml_omex(path) + + # Find out which version of the SBML file we are dealing with + namespaces = xmlutils.extract_namespaces(sbml_handler.read()) + version = VersionHandler.from_uri(namespaces) + sbml_handler.seek(0) # Read the SBML file and init an EnzymeML document - model = _init_and_read_sbml(open(sbml_path)) + model = _init_and_read_sbml(sbml_handler) enzmldoc = cls(name=model.getName()) # Extract units to map these to the EnzymeML entities @@ -76,14 +80,28 @@ def read_sbml(cls, path: Path | str): _parse_reaction(reaction) for reaction in model.getListOfReactions() ] - enzmldoc.measurements = _parse_measurements(model) + enzmldoc.measurements = _parse_measurements( + model=model, + list_of_reactions=model.getListOfReactions(), + meas_data=data, + ) return enzmldoc def _init_and_read_sbml(handler: IO): - """Initialize the SBML reader and read the SBML document.""" + """ + Initialize the SBML reader and read the SBML document. + + Args: + handler (IO): The file handler for the SBML document. + + Returns: + The SBML model. + Raises: + ValueError: If the SBML document or model cannot be read. + """ reader = sbml.SBMLReader() sbmldoc = reader.readSBMLFromString(handler.read()) if not sbmldoc: @@ -100,7 +118,15 @@ def _init_and_read_sbml(handler: IO): def _parse_unit(unit: sbml.UnitDefinition): - """Parse a unit definition from an SBML model into an EnzymeML unit definition.""" + """ + Parse a unit definition from an SBML model into an EnzymeML unit definition. + + Args: + unit (sbml.UnitDefinition): The SBML unit definition. + + Returns: + An EnzymeML unit definition. + """ enzml_unit = pe.UnitDefinition( id=unit.getId(), name=unit.getName(), @@ -126,7 +152,15 @@ def _parse_unit(unit: sbml.UnitDefinition): def _parse_species(species: sbml.Species): - """Parse a species from an SBML model into EnzymeML small molecule or protein.""" + """ + Parse a species from an SBML model into EnzymeML small molecule or protein. + + Args: + species (sbml.Species): The SBML species. + + Returns: + An EnzymeML small molecule, protein, or complex. + """ sbo_term = species.getSBOTermID() if sbo_term == "SBO:0000247": @@ -142,9 +176,18 @@ def _parse_species(species: sbml.Species): def _parse_small_molecule(species: sbml.Species): - """Parse a species from an SBML model into an EnzymeML small molecule.""" + """ + Parse a species from an SBML model into an EnzymeML small molecule. + + Args: + species (sbml.Species): The SBML species. + + Returns: + An EnzymeML small molecule. + """ + parsed = version.parse_annotation(annotation=species.getAnnotationString()) + annots = version.extract(parsed, "small_molecule") - annots = _parse_enzymeml_annotations("smallMolecule", species.getAnnotationString()) small_molecule = pe.SmallMolecule( id=species.getId(), name=species.getName(), @@ -159,9 +202,18 @@ def _parse_small_molecule(species: sbml.Species): def _parse_protein(species: sbml.Species): - """Parse a species from an SBML model into an EnzymeML small molecule.""" + """ + Parse a species from an SBML model into an EnzymeML protein. + + Args: + species (sbml.Species): The SBML species. + + Returns: + An EnzymeML protein. + """ + parsed = version.parse_annotation(annotation=species.getAnnotationString()) + annots = version.extract(parsed, "protein") - annots = _parse_enzymeml_annotations("protein", species.getAnnotationString()) protein = pe.Protein( id=species.getId(), name=species.getName(), @@ -176,9 +228,18 @@ def _parse_protein(species: sbml.Species): def _parse_complex(species: sbml.Species): - """Parse a species from an SBML model into an EnzymeML complex.""" + """ + Parse a species from an SBML model into an EnzymeML complex. + + Args: + species (sbml.Species): The SBML species. + + Returns: + An EnzymeML complex. + """ + parsed = version.parse_annotation(annotation=species.getAnnotationString()) + annots = version.extract(parsed, "complex") - annots = _parse_enzymeml_annotations("complex", species.getAnnotationString()) complex_ = pe.Complex( id=species.getId(), name=species.getName(), @@ -191,8 +252,15 @@ def _parse_complex(species: sbml.Species): def _parse_vessel(compartment: sbml.Compartment): - """Parse a compartment from an SBML model into an EnzymeML vessel.""" + """ + Parse a compartment from an SBML model into an EnzymeML vessel. + Args: + compartment (sbml.Compartment): The SBML compartment. + + Returns: + An EnzymeML vessel. + """ vessel = pe.Vessel( id=compartment.getId(), name=compartment.getName(), @@ -206,8 +274,18 @@ def _parse_vessel(compartment: sbml.Compartment): def _parse_parameter(parameter: sbml.Parameter): - """Parse a parameter from an SBML model into an EnzymeML parameter.""" - annots = _parse_enzymeml_annotations("parameter", parameter.getAnnotationString()) + """ + Parse a parameter from an SBML model into an EnzymeML parameter. + + Args: + parameter (sbml.Parameter): The SBML parameter. + + Returns: + An EnzymeML parameter. + """ + parsed = version.parse_annotation(annotation=parameter.getAnnotationString()) + annots = version.extract(parsed, "parameter") + parameter = pe.Parameter( id=parameter.getId(), name=parameter.getName(), @@ -222,8 +300,19 @@ def _parse_parameter(parameter: sbml.Parameter): def _parse_equation(rule: sbml.Rule, rule_type: pe.EquationType): - """Parse a rule from an SBML model into an EnzymeML equation.""" + """ + Parse a rule from an SBML model into an EnzymeML equation. + Args: + rule (sbml.Rule): The SBML rule. + rule_type (pe.EquationType): The type of the equation. + + Returns: + An EnzymeML equation. + + Raises: + ValueError: If the rule type is unknown. + """ match rule_type: case pe.EquationType.INITIAL_ASSIGNMENT: equation = sbml.formulaToString(rule.getMath()) @@ -232,12 +321,17 @@ def _parse_equation(rule: sbml.Rule, rule_type: pe.EquationType): equation = rule.getFormula() species_id = rule.getVariable() case pe.EquationType.RATE_LAW: - equation = rule.getMath() + equation = rule.getFormula() species_id = None case _: raise ValueError(f"Unknown rule type: {rule_type}") - annots = _parse_enzymeml_annotations("variables", rule.getAnnotationString()) + parsed = version.parse_annotation(annotation=rule.getAnnotationString()) + annots = version.extract(parsed, "variables") + + if version.version == SupportedVersions.VERSION1: + _map_v1_variables(annots, equation) + equation = pe.Equation( equation_type=rule_type, equation=equation, @@ -248,9 +342,43 @@ def _parse_equation(rule: sbml.Rule, rule_type: pe.EquationType): return equation +def _map_v1_variables(annots: dict, equation: str): + """ + Map variables for version 1 of the EnzymeML format. + + Args: + annots (dict): The annotations. + equation (str): The equation string. + """ + if "variables" not in annots: + annots["variables"] = [] + + all_species = [ + *[s.id for s in enzmldoc.small_molecules], + *[p.id for p in enzmldoc.proteins], + *[c.id for c in enzmldoc.complexes], + ] + for species in all_species: + if bool(re.search(rf"\b{species}\b", equation)): + annots["variables"].append( + pe.Variable( + id=species, + name=species, + symbol=species, + ).model_dump() + ) + + def _parse_reaction(reaction: sbml.Reaction): - """Parse a reaction from an SBML model into an EnzymeML reaction.""" + """ + Parse a reaction from an SBML model into an EnzymeML reaction. + + Args: + reaction (sbml.Reaction): The SBML reaction. + Returns: + An EnzymeML reaction. + """ # Get the reactants and products products = [_parse_element(product, 1) for product in reaction.getListOfProducts()] reactants = [ @@ -261,7 +389,7 @@ def _parse_reaction(reaction: sbml.Reaction): modifiers = [modifier.getSpecies() for modifier in reaction.getListOfModifiers()] # Get the kinetic law - kinetic_law = _parse_kinetic_law(reaction) + kinetic_law = _parse_equation(reaction.getKineticLaw(), pe.EquationType.RATE_LAW) # Create the EnzymeML reaction reaction = pe.Reaction( @@ -272,242 +400,68 @@ def _parse_reaction(reaction: sbml.Reaction): kinetic_law=kinetic_law, ) - rich.print(reaction) - return reaction def _parse_element(species, direction: int): + """ + Parse a species element from an SBML model into an EnzymeML reaction element. + + Args: + species: The SBML species element. + direction (int): The direction of the reaction (1 for product, -1 for reactant). + + Returns: + An EnzymeML reaction element. + """ return pe.ReactionElement( species_id=species.getSpecies(), stoichiometry=species.getStoichiometry() * direction, ) -def _parse_kinetic_law(reaction): - kinetic_law = reaction.getKineticLaw() - - if not kinetic_law: - return None - - annots = _parse_enzymeml_annotations("variables", kinetic_law.getAnnotationString()) - kinetic_law = pe.Equation( - equation=kinetic_law.getFormula(), - equation_type=pe.EquationType.RATE_LAW, - unit=M, # We need to set a default unit here, because SBML does not provide units for kinetic laws - variables=[pe.Variable(**annot) for annot in annots.get("variables", [])], - ) - - return kinetic_law - - -def _parse_measurements(model: sbml.Model): - # Extract metadata from the model - meas_metadata, file_path = _get_meas_metadata(model) - meas_metadata = _extract_measurement_metadata(meas_metadata) - - # Read the CSV file into measurement objects - # We need to set defaults for the units here, - # but we will overwrite them with the units from the EnzymeML annotations - measurements = pe.read_csv( - tsv_path, - data_unit=M, - time_unit=s, - ) - - for meas_id, metadata in meas_metadata.items(): - _assign_units_and_initials(meas_id, measurements, metadata) - - return measurements - - -def _assign_units_and_initials(meas_id, measurements, metadata): - measurement = [m for m in measurements if m.id == meas_id][0] - conditions = metadata.get("condition", {}) - init_concs = metadata.get("speciesData", []) - measurement.ph = _cast(conditions.get("ph"), float) - measurement.temperature = _cast(conditions.get("temperature"), float) - measurement.temperature_unit = conditions.get("temperature_unit") - - for init_conc in init_concs: - species_id = _get_species_id(init_conc) - meas_data = _get_species_data(measurement, species_id) - - meas_data.initial = float(init_conc.get("initial", 0.0)) - meas_data.time_unit = init_conc["time_unit"] - meas_data.data_unit = init_conc["data_unit"] - - -def _cast(value, data_type): - if value is None: - return None - - return data_type(value) - - -def _get_species_id(init_conc): - species_id = init_conc.get("species_id") - assert species_id, "No species ID found in the EnzymeML data annotation" - return species_id - - -def _get_species_data(measurement, species_id): - try: - return [d for d in measurement.species_data if d.species_id == species_id][0] - except IndexError: - raise ValueError(f"No species data found for species ID {species_id}") - - -def _get_meas_metadata(model): - root = ET.fromstring(model.getAnnotationString()) - data = root.find(f"{{{ENZYMEML_NS}}}data") - meas_metadata = data.findall(f"{{{ENZYMEML_NS}}}measurement") - file_path = data.attrib.get("file") - - assert file_path, "No file path found in the EnzymeML data annotation" - - return meas_metadata, file_path - - -def _extract_measurement_metadata(meas_metadata): - measurements = {} - - for meas_meta in meas_metadata: - meas_id = meas_meta.attrib.get("id") - data = _process_measurement(meas_meta) - measurements[meas_id] = data - - return measurements - - -def _process_measurement(meas_meta): - data = {} - time_unit = units.get(meas_meta.attrib.get("timeUnit")) - - assert ( - time_unit - ), f"Time unit not found for measurement {meas_meta.attrib.get('id')}" - - species_data = _parse_enzymeml_annotations("speciesData", meas_meta).get( - "speciesData", [] - ) - conditions = _parse_enzymeml_annotations("conditions", meas_meta).get( - "conditions", [] - ) - - if conditions: - data["condition"] = _assign_temp_unit(conditions[0]) - if species_data: - data["speciesData"] = _assign_meas_units(species_data, time_unit) - - return data - - -def _assign_temp_unit(conditions): - if temp_unit := conditions.get("temperature_unit"): - conditions["temperature_unit"] = units.get(temp_unit) - - return conditions - - -def _assign_meas_units(species_data, time_unit): - for data in species_data: - data["data_unit"] = units.get(data["data_unit"]) - data["time_unit"] = time_unit - data["data_type"] = pe.DataTypes.__members__.get(data["data_type"]) - - return species_data - - -def _parse_enzymeml_annotations( - root_key: str, annotation: str | ET.Element | None -) -> dict: - """Parse the RDF annotation of an SBML object.""" - - if not annotation: - return {} - - mappings = MAPPINGS[root_key] - - match annotation: - case str(): - root = ET.fromstring(annotation).find(f".//{{{ENZYMEML_NS}}}{root_key}") - case _ if isinstance(annotation, ET.Element): - root = annotation - case _: - raise ValueError(f"Unknown annotation type: {type(annotation)}") - - if not root: - return {} - - return _map_values(mappings, root, root_key) - - -def _map_values(mappings, root, root_key=None): - """Map the values from the XML root to the EnzymeML entities.""" - - data = {} - for xml_key, enzml_key in mappings.items(): - match enzml_key: - case dict(): - if value := _process_nested_keys( - enzml_key=enzml_key, - root=root, - xml_key=xml_key, - ): - if root_key in data and len(value) == 1: - # Special case for conditions - data[root_key][0].update(value[0]) - else: - data[root_key] = value - - case str(): - if value := _process_simple( - root=root, - xml_key=xml_key, - ): - data[enzml_key] = value - case _: - raise ValueError(f"Unknown value type for key '{enzml_key}'") - - return data - - -def _process_simple( - root: ET.Element, - xml_key: str, +def _parse_measurements( + model: sbml.Model, + list_of_reactions: sbml.ListOfReactions, + meas_data: dict[str, pd.DataFrame], ): - if xml_key.startswith("@"): - value = root.attrib.get(xml_key[1:]) - else: - value = root.findall(f"{{{ENZYMEML_NS}}}{xml_key}") - - if len(value) == 1: - value = value[0].text - elif len(value) > 1: - value = [v.text for v in value] - return value + """ + Parse measurements from an SBML model into EnzymeML measurements. + Args: + model (sbml.Model): The SBML model. + list_of_reactions (sbml.ListOfReactions): The list of reactions in the SBML model. + meas_data (dict[str, pd.DataFrame]): The measurement data. -def _process_nested_keys( - enzml_key: dict, - root: ET.Element, - xml_key: str, -): - value = root.findall(f".//{{{ENZYMEML_NS}}}{xml_key}") - if len(value) == 1: - value = [_map_values(enzml_key, value[0])] - elif len(value) > 1: - value = [_map_values(enzml_key, v) for v in value] - else: - return None + Returns: + EnzymeML measurements. - return value + Raises: + ValueError: If the version is unknown. + """ + match version.version: + case SupportedVersions.VERSION1: + parsed = version.parse_annotation(list_of_reactions.getAnnotationString()) + if parsed.data: + return parsed.data.to_measurements(meas_data, units) + case SupportedVersions.VERSION2: + parsed = version.parse_annotation(model.getAnnotationString()) + if parsed.data: + return parsed.data.to_measurements(meas_data, units) + case _: + raise ValueError(f"Unknown version: {version.version}") def _check_nan(value: float): - """Check if a value is NaN.""" + """ + Check if a value is NaN. + Args: + value (float): The value to check. + + Returns: + The value if it is not NaN, otherwise None. + """ if math.isnan(value): return None diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index 71251f84..602f1f94 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -7,7 +7,6 @@ import libsbml import pandas as pd from loguru import logger -from pydantic import BaseModel import pyenzyme.model as pe import pyenzyme.tools as tools @@ -16,6 +15,7 @@ from pyenzyme.logging import add_logger from pyenzyme.sbml import create_sbml_omex from pyenzyme.sbml.validation import validate_sbml_export +from pyenzyme.sbml.versions import v2 from pyenzyme.tabular import to_pandas from pyenzyme.units.units import UnitDefinition @@ -162,12 +162,13 @@ def _add_small_mol(small_mol: pe.SmallMolecule): species.setInitialConcentration(init_conc) species.setHasOnlySubstanceUnits(False) - annot = _xml.serialize_to_pretty_xml_string( - _extract_create_annot("smallMolecule", small_mol) + annot = v2.SmallMoleculeAnnot( + canonical_smiles=small_mol.canonical_smiles, + inchikey=small_mol.inchikey, ) - if annot is not None: - species.appendAnnotation(annot) + if not annot.is_empty(): + species.appendAnnotation(annot.to_xml(encoding="unicode")) def _add_protein(protein: pe.Protein): @@ -187,12 +188,15 @@ def _add_protein(protein: pe.Protein): species.setInitialConcentration(init_conc) species.setHasOnlySubstanceUnits(False) - annot = _xml.serialize_to_pretty_xml_string( - _extract_create_annot("protein", protein) + annot = v2.ProteinAnnot( + ecnumber=protein.ecnumber, + organism=protein.organism, + sequence=protein.sequence, + organism_tax_id=protein.organism_tax_id, ) - if annot is not None: - species.appendAnnotation(annot) + if not annot.is_empty(): + species.appendAnnotation(annot.to_xml(encoding="unicode")) def _add_complex(complex_: pe.Complex): @@ -205,12 +209,10 @@ def _add_complex(complex_: pe.Complex): species.setSBOTerm("SBO:0000296") # Complex species.appendAnnotation(rdf.to_rdf_xml(complex_)) - annot = _xml.serialize_to_pretty_xml_string( - _extract_create_annot("complex", complex_) - ) + annot = v2.ComplexAnnot(participants=complex_.participants) - if annot is not None: - species.appendAnnotation(annot) + if not annot.is_empty(): + species.appendAnnotation(annot.to_xml(encoding="unicode")) def _get_first_meas_init_conc(species: pe.SmallMolecule | pe.Protein): @@ -267,12 +269,12 @@ def _add_rate_law(equation: pe.Equation, reac: libsbml.Reaction): law = reac.createKineticLaw() law.setMath(libsbml.parseL3Formula(equation.equation)) - if annot := _create_equation_annot(equation): - law.setAnnotation(_xml.serialize_to_pretty_xml_string(annot)) - + annot = v2.VariablesAnnot( + variables=[v2.VariableAnnot(**var.model_dump()) for var in equation.variables], + ) -def _create_equation_annot(equation: pe.Equation) -> ET.Element | None: - return _extract_create_annot("variables", equation.variables) + if not annot.is_empty(): + law.setAnnotation(annot.to_xml(encoding="unicode")) def _get_create_fun( @@ -303,12 +305,14 @@ def _add_parameter(parameter: pe.Parameter): if parameter.unit: sbml_param.setUnits(_get_unit_id(parameter.unit)) - annot = _xml.serialize_to_pretty_xml_string( - _extract_create_annot("parameter", parameter) + annot = v2.ParameterAnnot( + lower=parameter.lower, + upper=parameter.upper, + stderr=parameter.stderr, ) - if annot is not None: - sbml_param.appendAnnotation(annot) + if not annot.is_empty(): + sbml_param.appendAnnotation(annot.to_xml(encoding="unicode")) def _add_equation(equation: pe.Equation): @@ -328,42 +332,55 @@ def _add_equation(equation: pe.Equation): sbml_rule.setMath(libsbml.parseL3Formula(equation.equation)) - if annot := _create_equation_annot(equation): - sbml_rule.setAnnotation(_xml.serialize_to_pretty_xml_string(annot)) + annot = v2.VariablesAnnot( + variables=[v2.VariableAnnot(**var.model_dump()) for var in equation.variables], + ) + + if not annot.is_empty(): + sbml_rule.setAnnotation(annot.to_xml(encoding="unicode")) def _add_measurements(measurements: list[pe.Measurement]): """Adds measurements to the SBML model.""" - annotation = ET.Element(f"{{{NSMAP['enzymeml']}}}data") - annotation.attrib["file"] = "data.tsv" + annot = v2.DataAnnot(file="./data.tsv") for measurement in measurements: - meas_element = _extract_create_annot("measurement", measurement) - meas_element.attrib["timeUnit"] = _get_unit_id( # type: ignore - measurement.species_data[0].time_unit + if not measurement.species_data: + continue + + time_unit = _get_unit_id(measurement.species_data[0].time_unit) + conditions = v2.ConditionsAnnot( + ph=v2.PHAnnot( + value=measurement.ph, + ), + temperature=v2.TemperatureAnnot( + value=measurement.temperature, + unit=_get_unit_id(measurement.temperature_unit), + ), ) - assert meas_element is not None, "Measurement element is None" - - conditions = _create_condition_element( - ph=measurement.ph, - temperature=measurement.temperature, - temperature_unit=_get_unit_id(measurement.temperature_unit), # type: ignore + meas_annot = v2.MeasurementAnnot( + id=measurement.id, + time_unit=time_unit, + name=measurement.name, + conditions=conditions, ) - if conditions: - meas_element.append(conditions) - - for species in measurement.species_data: - _extract_create_annot("speciesData", species, meas_element) + for species_data in measurement.species_data: + species_annot = v2.SpeciesDataAnnot( + species_id=species_data.species_id, + initial=species_data.initial, + type=species_data.data_type.name, + unit=_get_unit_id(species_data.data_unit), + ) - annotation.append(meas_element) + meas_annot.species_data.append(species_annot) - annot = _xml.serialize_to_pretty_xml_string(annotation) + annot.measurements.append(meas_annot) - if annot is not None: - model.appendAnnotation(annot) + if not annot.is_empty(): + model.appendAnnotation(annot.to_xml(encoding="unicode")) def _create_condition_element( @@ -388,86 +405,6 @@ def _create_condition_element( return element -def _extract_create_annot( - name: str, - obj: BaseModel | list[BaseModel], - element: ET.Element | None = None, -) -> ET.Element | None: - """Extracts the data from the object and creates an annotation element. - - This function makes use of the "mappings.toml" file which orchestrates - the mapping of the data from the object to the XML element. - - Args: - name (str): The name of the object. - obj (BaseModel): The object to extract the data from. - element (ET.Element, optional): The element to append the annotation to. Defaults to None. - - Returns: - ET.Element: The annotation element. - """ - if element is None: - element = ET.Element(f"{{{NSMAP['enzymeml']}}}{name}") - - if isinstance(obj, list): - mappings = [ - _extract(item, MAPPINGS[name]) - for item in obj - if item.dict(exclude_unset=True) - ] - - for mapping in mappings: - _xml.map_to_xml( - root=element, - mappings=mapping, - namespace=NSMAP["enzymeml"], - ) - else: - mappings = _extract(obj, MAPPINGS[name]) - - _xml.map_to_xml( - root=element, - mappings=mappings, - namespace=NSMAP["enzymeml"], - ) - - if len(element) == 0 and not element.attrib: - return None - - return element - - -def _extract(obj: BaseModel, mapping: dict) -> dict: - """Based on the mapping, extract the data from the object and return it as a dictionary. - - Args: - obj (BaseModel): The object to extract the data from. - mapping (dict): The mapping to use for extraction. - - Returns: - dict: The extracted data. - """ - - data = {} - - for trgt_key, enzml_key in mapping.items(): - if isinstance(enzml_key, dict): - data[trgt_key] = _extract(obj, enzml_key) - elif "unit" in enzml_key: - value = getattr(obj, enzml_key) - data[trgt_key] = _get_unit_id(value) - elif isinstance(getattr(obj, enzml_key), list) and all( - isinstance(item, BaseModel) for item in getattr(obj, enzml_key) - ): - data[trgt_key] = [ - _extract(item, MAPPINGS[enzml_key]) for item in getattr(obj, enzml_key) - ] - else: - data[trgt_key] = getattr(obj, enzml_key) - - return data - - def _get_sbml_kind(unit_type: pe.UnitType): try: return getattr(libsbml, f"UNIT_KIND_{unit_type.name}") From 767c10aa9f09ef757daed4d3171122e4485e3fcc Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 19:46:46 +0200 Subject: [PATCH 057/172] add support for legacy and new version --- pyenzyme/sbml/versions/__init__.py | 15 ++ pyenzyme/sbml/versions/handler.py | 52 ++++ pyenzyme/sbml/versions/v1.py | 414 +++++++++++++++++++++++++++++ pyenzyme/sbml/versions/v2.py | 387 +++++++++++++++++++++++++++ 4 files changed, 868 insertions(+) create mode 100644 pyenzyme/sbml/versions/__init__.py create mode 100644 pyenzyme/sbml/versions/handler.py create mode 100644 pyenzyme/sbml/versions/v1.py create mode 100644 pyenzyme/sbml/versions/v2.py diff --git a/pyenzyme/sbml/versions/__init__.py b/pyenzyme/sbml/versions/__init__.py new file mode 100644 index 00000000..fe805738 --- /dev/null +++ b/pyenzyme/sbml/versions/__init__.py @@ -0,0 +1,15 @@ +from .v2 import ( + DataAnnot, + SpeciesDataAnnot, + ProteinAnnot, + ParameterAnnot, + ComplexAnnot, +) + +__all__ = [ + "DataAnnot", + "SpeciesDataAnnot", + "ProteinAnnot", + "ParameterAnnot", + "ComplexAnnot", +] diff --git a/pyenzyme/sbml/versions/handler.py b/pyenzyme/sbml/versions/handler.py new file mode 100644 index 00000000..e44dfffc --- /dev/null +++ b/pyenzyme/sbml/versions/handler.py @@ -0,0 +1,52 @@ +from enum import Enum + +from pydantic import BaseModel + +from pyenzyme.sbml.versions import v1, v2 +from pyenzyme.sbml.versions.v2 import V2Annotation + + +class SupportedVersions(Enum): + VERSION1: str = "http://sbml.org/enzymeml/version2" + VERSION2: str = "https://www.enzymeml.org/v2" + + +class VersionHandler(BaseModel): + version: SupportedVersions + + @classmethod + def from_uri(cls, uris: set[str]): + for uri in uris: + if uri == SupportedVersions.VERSION1.value: + return cls(version=SupportedVersions.VERSION1) + if uri == SupportedVersions.VERSION2.value: + return cls(version=SupportedVersions.VERSION2) + + raise ValueError("No supported version found in URIs") + + def parse_annotation(self, annotation: str) -> v1.V1Annotation | v2.V2Annotation: + if not annotation: + return V2Annotation() + + match self.version: + case SupportedVersions.VERSION1: + return v1.V1Annotation.from_xml(annotation) + case SupportedVersions.VERSION2: + return v2.V2Annotation.from_xml(annotation) + case _: + raise ValueError("Unsupported version") + + @staticmethod + def extract( + value: v1.V1Annotation | v2.V2Annotation, + key: str, + ): + if not hasattr(value, key): + raise AttributeError(f"VersionHandler has no attribute '{key}'") + + value = getattr(value, key) + + if value: + return value.model_dump() + else: + return {} diff --git a/pyenzyme/sbml/versions/v1.py b/pyenzyme/sbml/versions/v1.py new file mode 100644 index 00000000..9ed7c96d --- /dev/null +++ b/pyenzyme/sbml/versions/v1.py @@ -0,0 +1,414 @@ +from __future__ import annotations + +import pandas as pd +from pydantic import computed_field +from pydantic_xml import element, BaseXmlModel, attr, wrapped + +from pyenzyme import Measurement, UnitDefinition, DataTypes +from pyenzyme.sbml.versions.v2 import VariableAnnot + + +class V1Annotation( + BaseXmlModel, + tag="annotation", + search_mode="unordered", +): + small_molecule: ReactantAnnot | None = element( + tag="smallMolecule", + default=None, + nsmap={"enzymeml": "https://www.enzymeml.org/v2"}, + ) + + protein: ProteinAnnot | None = element( + tag="protein", + default=None, + nsmap={"enzymeml": "https://www.enzymeml.org/v2"}, + ) + + complex: ComplexAnnot | None = element( + tag="complex", + default=None, + nsmap={"enzymeml": "https://www.enzymeml.org/v2"}, + ) + + data: DataAnnot | None = element( + tag="data", + default=None, + nsmap={"enzymeml": "https://www.enzymeml.org/v2"}, + ) + + parameter: ParameterAnnot | None = element( + tag="parameter", + default=None, + nsmap={"enzymeml": "https://www.enzymeml.org/v2"}, + ) + + variables: VariableAnnot | None = element( + tag="variables", + default=None, + nsmap={"enzymeml": "https://www.enzymeml.org/v2"}, + ) + + +class ParameterAnnot( + BaseXmlModel, + tag="parameter", + nsmap={"": "https://www.enzymeml.org/v2"}, +): + """ + Represents the annotation for a parameter in the EnzymeML format. + + Attributes: + initial (float | None): The initial value of the parameter. + upper (float | None): The upper bound of the parameter. + lower (float | None): The lower bound of the parameter. + """ + + initial: float | None = element(tag="initialValue", default=None) + upper: float | None = element(tag="upperBound", default=None) + lower: float | None = element(tag="lowerBound", default=None) + + +class ComplexAnnot( + BaseXmlModel, + tag="complex", + nsmap={"": "http://sbml.org/enzymeml/version2"}, +): + """ + Represents the annotation for a complex in the EnzymeML format. + + Attributes: + participants (list[str]): A list of participants in the complex. + """ + + participants: list[str] = element(tag="participant", default_factory=list) + + +class ReactantAnnot( + BaseXmlModel, + tag="reactant", + nsmap={"": "http://sbml.org/enzymeml/version2"}, +): + """ + Represents the annotation for a reactant in the EnzymeML format. + + Attributes: + inchi (str | None): The InChI of the reactant. + smiles (str | None): The SMILES representation of the reactant. + chebi_id (str | None): The ChEBI ID of the reactant. + """ + + inchi: str | None = element(tag="inchi", default=None) + smiles: str | None = element(tag="smiles", default=None) + chebi_id: str | None = element(tag="chebiID", default=None) + + +class ProteinAnnot( + BaseXmlModel, + tag="protein", + nsmap={"": "http://sbml.org/enzymeml/version2"}, +): + """ + Represents the annotation for a protein in the EnzymeML format. + + Attributes: + sequence (str | None): The amino acid sequence of the protein. + ecnumber (str | None): The EC number of the protein. + uniprotid (str | None): The UniProt ID of the protein. + organism (str | None): The organism from which the protein is derived. + organism_tax_id (str | None): The taxonomic ID of the organism. + """ + + sequence: str | None = element(tag="sequence", default=None) + ecnumber: str | None = element(tag="ECnumber", default=None) + uniprotid: str | None = element(tag="uniprotID", default=None) + organism: str | None = element(tag="organism", default=None) + organism_tax_id: str | None = element(tag="organismTaxID", default=None) + + +class DataAnnot( + BaseXmlModel, + tag="data", + nsmap={"": "http://sbml.org/enzymeml/version2"}, +): + """ + Represents the annotation for data in the EnzymeML format. + + Attributes: + formats (list[FormatAnnot]): A list of format annotations. + measurements (list[MeasurementAnnot]): A list of measurement annotations. + files (list[FileAnnot]): A list of file annotations. + """ + + formats: list[FormatAnnot] = wrapped( + "formats", + element( + tag="format", + default_factory=list, + ), + ) + + measurements: list[MeasurementAnnot] = wrapped( + "listOfMeasurements", + element( + tag="measurement", + default_factory=list, + ), + ) + + files: list[FileAnnot] = wrapped( + "files", + element( + tag="file", + default_factory=list, + ), + ) + + def to_measurements( + self, + meas_data: dict[str, pd.DataFrame], + units: dict[str, UnitDefinition], + ) -> list[Measurement]: + """ + Converts the data annotation to version 2 format. + + Args: + meas_data (dict[str, pd.DataFrame]): A dictionary of dataframes. + units (dict[str, UnitDefinition]): A dictionary of unit definitions. + + Returns: + list[Measurement]: A list of measurements. + """ + + # Create a mapping from fileid to filepath + file_map = {file.id: meas_data[file.location] for file in self.files} + + measurements: list[Measurement] = list() + + for meas_v1 in self.measurements: + measurement = Measurement(id=meas_v1.id, name=meas_v1.name) + + for init_conc in meas_v1.init_concs: + measurement.add_to_species_data( + data_unit=units[init_conc.unit], + species_id=init_conc.species_id, + initial=init_conc.value, + data_type=DataTypes.CONCENTRATION, + ) + + # Extract the format information + file = next(f for f in self.files if f.id == meas_v1.file) + file_format = next(f for f in self.formats if f.id == file.format) + + self._map_columns(file_map[meas_v1.file], file_format, measurement, units) + + for species_data in measurement.species_data: + if not species_data.data: + species_data.time = [] + + measurements.append(measurement) + + return measurements + + def _map_columns( + self, + df: pd.DataFrame, + file_format: FormatAnnot, + measurement: Measurement, + units: dict[str, UnitDefinition], + ) -> None: + """ + Maps columns from the dataframe to the measurement. + + Args: + df (pd.DataFrame): The dataframe containing the data. + file_format (FormatAnnot): The format annotation. + measurement (Measurement): The measurement to map the columns to. + units (dict[str, UnitDefinition]): A dictionary of unit definitions. + """ + + for col in file_format.columns: + unit = units[col.unit] + values = df.iloc[:, col.index].values.tolist() + + if col.type == "time": + self._map_time_values(measurement, unit, values) + else: + self._map_species_values(col, measurement, unit, values) + + @staticmethod + def _map_species_values( + col: ColumnAnnot, + measurement: Measurement, + unit: UnitDefinition, + values: list[float], + ): + """ + Maps species values to the measurement. + + Args: + col (ColumnAnnot): The column annotation. + measurement (Measurement): The measurement to map the values to. + unit (UnitDefinition): The unit definition. + values (list[float]): The list of values. + """ + species_data = measurement.filter_species_data(species_id=col.species_id) + + assert len(species_data) == 1, f"Species data not found for {col.species_id}" + + species_data = species_data[0] + species_data.data_unit = unit + species_data.data = values + + @staticmethod + def _map_time_values(measurement, unit, values): + """ + Maps time values to the measurement. + + Args: + measurement (Measurement): The measurement to map the values to. + unit (UnitDefinition): The unit definition. + values (list[float]): The list of time values. + """ + # Map time to all species data + for species_data in measurement.species_data: + species_data.time = values + species_data.time_unit = unit + + +class FormatAnnot( + BaseXmlModel, + tag="format", + nsmap={"": "http://sbml.org/enzymeml/version2"}, +): + """ + Represents the format annotation in the EnzymeML format. + + Attributes: + id (str): The ID of the format. + columns (list[ColumnAnnot]): A list of column annotations. + """ + + id: str = attr(name="id") + columns: list[ColumnAnnot] = element( + tag="column", + default_factory=list, + ) + + +class ColumnAnnot( + BaseXmlModel, + tag="column", + nsmap={"": "http://sbml.org/enzymeml/version2"}, +): + """ + Represents the column annotation in the EnzymeML format. + + Attributes: + species_id (str | None): The ID of the species. + type (str): The type of the column. + unit (str): The unit of the column. + index (int): The index of the column. + replica (str | None): The replica of the column. + is_calculated (bool): Whether the column is calculated. + """ + + species_id: str | None = attr(name="species", default=None) + type: str = attr(name="type") + unit: str = attr(name="unit") + index: int = attr(name="index") + replica: str | None = attr(name="replica", default=None) + is_calculated: bool = attr(name="isCalculated", default=False) + + +class MeasurementAnnot( + BaseXmlModel, + tag="measurement", + nsmap={"": "http://sbml.org/enzymeml/version2"}, +): + """ + Represents the measurement annotation in the EnzymeML format. + + Attributes: + id (str): The ID of the measurement. + name (str): The name of the measurement. + file (str): The file associated with the measurement. + init_concs (list[InitConcAnnot]): A list of initial concentration annotations. + """ + + id: str = attr(name="id") + name: str = attr(name="name") + file: str = attr(name="file") + init_concs: list[InitConcAnnot] = element( + tag="initConc", + default_factory=list, + ) + + +class InitConcAnnot( + BaseXmlModel, + tag="initConc", + nsmap={"": "http://sbml.org/enzymeml/version2"}, +): + """ + Represents the initial concentration annotation in the EnzymeML format. + + Attributes: + protein (str | None): The protein associated with the initial concentration. + reactant (str | None): The reactant associated with the initial concentration. + value (float): The value of the initial concentration. + unit (str): The unit of the initial concentration. + """ + + protein: str | None = attr(name="protein", default=None) + reactant: str | None = attr(name="reactant", default=None) + value: float = attr(name="value", default=0.0) + unit: str = attr(name="unit") + + @computed_field + @property + def species_id(self) -> str: + """ + Computes the species ID based on the protein or reactant. + + Returns: + str: The species ID. + """ + assert bool(self.protein) != bool( + self.reactant + ), "Either protein or reactant must be set" + return self.protein or self.reactant + + +class FileAnnot( + BaseXmlModel, + tag="file", + nsmap={"": "http://sbml.org/enzymeml/version2"}, +): + """ + Represents the file annotation in the EnzymeML format. + + Attributes: + id (str): The ID of the file. + location (str): The file path. + format (str): The format of the file. + """ + + id: str = attr(name="id") + location: str = attr(name="file") + format: str = attr(name="format") + + +# Rebuild all the classes within this file +for cls in [ + DataAnnot, + FormatAnnot, + ColumnAnnot, + MeasurementAnnot, + InitConcAnnot, + ProteinAnnot, + ReactantAnnot, + ParameterAnnot, + V1Annotation, +]: + cls.model_rebuild() diff --git a/pyenzyme/sbml/versions/v2.py b/pyenzyme/sbml/versions/v2.py new file mode 100644 index 00000000..bd180d4c --- /dev/null +++ b/pyenzyme/sbml/versions/v2.py @@ -0,0 +1,387 @@ +""" +This module contains the classes for the EnzymeML version 2 format annotations +used to map the EnzymeML JSON schema to SBML. +""" + +from __future__ import annotations + +import pandas as pd +from pydantic import field_validator +from pydantic_xml import element, attr, BaseXmlModel + +from pyenzyme import UnitDefinition, DataTypes, Measurement + + +class BaseAnnot(BaseXmlModel): + """ + Base class for annotations in the EnzymeML format. + """ + + def is_empty(self): + return all(value is None or value == [] for _, value in self) + + +class V2Annotation( + BaseAnnot, + tag="annotation", + search_mode="unordered", + nsmap={"enzymeml": "https://www.enzymeml.org/v2"}, +): + small_molecule: SmallMoleculeAnnot | None = element( + tag="smallMolecule", + default=None, + ) + + protein: ProteinAnnot | None = element( + tag="protein", + default=None, + ) + + complex: ComplexAnnot | None = element( + tag="complex", + default=None, + ) + + data: DataAnnot | None = element( + tag="data", + default=None, + ) + + parameter: ParameterAnnot | None = element( + tag="parameter", + default=None, + ) + + variables: VariablesAnnot | None = element( + tag="variables", + default=None, + ) + + +class SmallMoleculeAnnot( + BaseAnnot, + tag="smallMolecule", + nsmap={"": "https://www.enzymeml.org/v2"}, + search_mode="unordered", +): + """ + Represents the annotation for a small molecule in the EnzymeML format. + + Attributes: + inchikey (str | None): The InChIKey of the small molecule. + canonical_smiles (str | None): The canonical SMILES representation of the small molecule. + """ + + inchikey: str | None = element(tag="inchiKey", default=None) + canonical_smiles: str | None = element(tag="smiles", default=None) + + +class ProteinAnnot( + BaseAnnot, + tag="protein", + nsmap={"": "https://www.enzymeml.org/v2"}, + search_mode="unordered", +): + """ + Represents the annotation for a protein in the EnzymeML format. + + Attributes: + ecnumber (str | None): The EC number of the protein. + organism (str | None): The organism from which the protein is derived. + organism_tax_id (str | None): The taxonomic ID of the organism. + sequence (str | None): The amino acid sequence of the protein. + """ + + ecnumber: str | None = element(tag="ecnumber", default=None) + organism: str | None = element(tag="organism", default=None) + organism_tax_id: str | None = element(tag="organismTaxId", default=None) + sequence: str | None = element(tag="sequence", default=None) + + +class ComplexAnnot( + BaseAnnot, + tag="complex", + nsmap={"": "https://www.enzymeml.org/v2"}, + search_mode="unordered", +): + """ + Represents the annotation for a complex in the EnzymeML format. + + Attributes: + participants (list[str]): A list of participants in the complex. + """ + + participants: list[str] = element( + tag="participants", + default_factory=list, + ) + + +class DataAnnot( + BaseAnnot, + tag="data", + nsmap={"": "https://www.enzymeml.org/v2"}, + search_mode="unordered", +): + """ + Represents the annotation for data in the EnzymeML format. + + Attributes: + file (str): The file associated with the data. + measurements (list[MeasurementAnnot]): A list of measurements associated with the data. + """ + + file: str = attr(name="file") + measurements: list[MeasurementAnnot] = element( + tag="measurement", + default_factory=list, + ) + + @field_validator("file") + @classmethod + def _check_file_path(cls, value): + if not value.startswith("./"): + return "./" + value + return value + + def to_measurements( + self, + meas_data: dict[str, pd.DataFrame], + units: dict[str, UnitDefinition], + ) -> list[Measurement]: + assert self.file in meas_data, f"Data file '{self.file}' not found in data" + + return [ + meas.to_measurement( + meas_data=meas_data[self.file], + units=units, + ) + for meas in self.measurements + ] + + +class MeasurementAnnot( + BaseAnnot, + tag="measurement", + nsmap={"": "https://www.enzymeml.org/v2"}, + search_mode="unordered", +): + """ + Represents the annotation for a measurement in the EnzymeML format. + + Attributes: + id (str): The ID of the measurement. + name (str | None): The name of the measurement. + time_unit (str): The unit of time. + conditions (ConditionsAnnot | None): The conditions associated with the measurement. + species_data (list[SpeciesDataAnnot]): A list of species data associated with the measurement. + """ + + id: str = attr(name="id") + name: str | None = attr(name="name", default=None) + time_unit: str = attr(name="timeUnit") + conditions: ConditionsAnnot | None = element(tag="conditions", default=None) + species_data: list[SpeciesDataAnnot] = element( + tag="speciesData", + default_factory=list, + ) + + def to_measurement( + self, + meas_data: pd.DataFrame, + units: dict[str, UnitDefinition], + ): + df_sub = meas_data[meas_data.id == self.id] + measurement = Measurement( + id=self.id, + name=self.name, + temperature=self.conditions.temperature.value, + temperature_unit=units.get(self.conditions.temperature.unit), + ph=self.conditions.ph.value, + ) + + if df_sub.empty: + raise ValueError(f"No data found for measurement with ID '{self.id}'") + + for species in self.species_data: + self._map_species_data(df_sub, measurement, species, units) + + return measurement + + def _map_species_data( + self, + df_sub: pd.DataFrame, + measurement: Measurement, + species: SpeciesDataAnnot, + units: dict[str, UnitDefinition], + ): + if species.species_id in df_sub.columns: + data = df_sub[species.species_id].to_list() + time = df_sub["time"].to_list() + else: + data, time = None, None + measurement.add_to_species_data( + data=data, + time=time, + species_id=species.species_id, + data_unit=units[species.unit], + time_unit=units[self.time_unit], + initial=species.initial, + data_type=self._map_data_type(species.type), + ) + + @staticmethod + def _map_data_type(dtype: str): + if data_type := getattr(DataTypes, dtype, None): + return data_type + else: + raise ValueError(f"Data type '{dtype}' not supported") + + +class SpeciesDataAnnot( + BaseAnnot, + tag="speciesData", + nsmap={"": "https://www.enzymeml.org/v2"}, + search_mode="unordered", +): + """ + Represents the annotation for species data in the EnzymeML format. + + Attributes: + species_id (str): The ID of the species. + initial (float): The value associated with the species. + type (str | None): The type of data (default is "CONCENTRATION"). + unit (str): The unit of the value. + """ + + species_id: str = attr(name="species") + initial: float = attr(name="value", default=0.0) + type: str | None = attr(name="type", default="CONCENTRATION") + unit: str = attr(name="unit") + + +class ConditionsAnnot( + BaseAnnot, + tag="conditions", + nsmap={"": "https://www.enzymeml.org/v2"}, + search_mode="unordered", +): + """ + Represents the annotation for conditions in the EnzymeML format. + + Attributes: + ph (PHAnnot | None): The pH conditions. + temperature (TemperatureAnnot | None): The temperature conditions. + """ + + ph: PHAnnot | None = element(tag="ph") + temperature: TemperatureAnnot | None = element(tag="temperature", default=None) + + +class PHAnnot( + BaseAnnot, + tag="ph", + nsmap={"": "https://www.enzymeml.org/v2"}, + search_mode="unordered", +): + """ + Represents the annotation for pH in the EnzymeML format. + + Attributes: + value (float): The pH value. + """ + + value: float = attr(name="value") + + +class TemperatureAnnot( + BaseAnnot, + tag="temperature", + nsmap={"": "https://www.enzymeml.org/v2"}, + search_mode="unordered", +): + """ + Represents the annotation for temperature in the EnzymeML format. + + Attributes: + value (float): The temperature value. + unit (str): The unit of the temperature value. + """ + + value: float = attr(name="value") + unit: str = attr(name="unit") + + +class ParameterAnnot( + BaseAnnot, + tag="parameter", + nsmap={"": "https://www.enzymeml.org/v2"}, + search_mode="unordered", +): + """ + Represents the annotation for a parameter in the EnzymeML format. + + Attributes: + lower (float | None): The lower bound of the parameter. + upper (float | None): The upper bound of the parameter. + stderr (float | None): The standard deviation of the parameter. + """ + + lower: float | None = element(tag="lowerBound", default=None) + upper: float | None = element(tag="upperBound", default=None) + stderr: float | None = element(tag="stdDeviation", default=None) + + +class VariablesAnnot( + BaseAnnot, + tag="variables", + nsmap={"": "https://www.enzymeml.org/v2"}, + search_mode="unordered", +): + """ + Represents the annotation for variables in the EnzymeML format. + + Attributes: + variables (list[Variable]): A list of variables. + """ + + variables: list[VariableAnnot] = element(tag="variable", default_factory=list) + + +class VariableAnnot( + BaseAnnot, + tag="variable", + nsmap={"": "https://www.enzymeml.org/v2"}, + search_mode="unordered", +): + """ + Represents a variable in the EnzymeML format. + + Attributes: + id (str | None): The ID of the variable. + name (str | None): The name of the variable. + symbol (str | None): The symbol of the variable. + """ + + id: str | None = attr(name="id") + name: str | None = attr(name="name") + symbol: str | None = attr(name="symbol") + + +# Rebuild all the classes within this file +for cls in [ + SmallMoleculeAnnot, + ProteinAnnot, + ComplexAnnot, + DataAnnot, + MeasurementAnnot, + SpeciesDataAnnot, + ConditionsAnnot, + PHAnnot, + TemperatureAnnot, + ParameterAnnot, + VariablesAnnot, + VariableAnnot, + V2Annotation, +]: + cls.model_rebuild() From 86974310e9eb82541c8cd45bab9e67800c6e8073 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 19:47:06 +0200 Subject: [PATCH 058/172] rename method and update docs --- pyenzyme/tabular.py | 23 +++++++++++++---------- 1 file changed, 13 insertions(+), 10 deletions(-) diff --git a/pyenzyme/tabular.py b/pyenzyme/tabular.py index a8e5e55e..1185dd34 100644 --- a/pyenzyme/tabular.py +++ b/pyenzyme/tabular.py @@ -107,9 +107,9 @@ def read_excel( df = pd.read_excel(path) - return from_pandas( + return from_dataframe( df=df, - id=path.stem, + meas_id=path.stem, data_unit=data_unit, time_unit=time_unit, data_type=data_type, @@ -161,21 +161,21 @@ def read_csv( df = pd.read_csv(path, sep=sep) - return from_pandas( + return from_dataframe( df=df, - id=path.stem, + meas_id=path.stem, data_unit=data_unit, time_unit=time_unit, data_type=data_type, ) -def from_pandas( +def from_dataframe( df: pd.DataFrame, - id: str, data_unit: UnitDefinition, time_unit: UnitDefinition, data_type: DataTypes = DataTypes.CONCENTRATION, + meas_id: str | None = None, ) -> list[Measurement]: """Parse a pandas DataFrame into a list of measurements. @@ -188,11 +188,11 @@ def from_pandas( If there is no 'id' column, the function assumes that there is only one measurement in the file. If there is an 'id' column, the function assumes that there are multiple measurements in the file. Hence, if you want to have multiple measurements in the same - file, you need to have an 'id' column. Otherwise it will return a single measurement. + file, you need to have an 'id' column. Otherwise, it will return a single measurement. Args: df (pd.DataFrame): The DataFrame to parse. - id (str): The ID of the measurement. + meas_id (str | None): The ID of the measurement. Default is None. data_unit (UnitDefinition): The unit of the data. time_unit (UnitDefinition): The unit of the time. data_type (DataTypes): The type of the data. Default is DataTypes.CONCENTRATION. @@ -215,10 +215,14 @@ def from_pandas( data_type=data_type, ) else: + assert meas_id is not None, ( + "The 'meas_id' argument must be provided " + "when parsing a single measurement" + ) return [ _create_single_measurement( df=df, - id=id, + id=meas_id, data_unit=data_unit, time_unit=time_unit, data_type=data_type, @@ -282,7 +286,6 @@ def _process_multiple_measurements( def _validate_data(data: pd.DataFrame) -> None: """Validates the data from a CSV file""" - assert "time" in data, "The CSV file must contain a 'time' column" assert data["time"][0] == 0, "The time column must start at 0" From 43f76e67a077c0f9bb12c5418aa739b762192878 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 19:47:24 +0200 Subject: [PATCH 059/172] use `float` instead of `int` --- pyenzyme/units/units.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/pyenzyme/units/units.py b/pyenzyme/units/units.py index 917beea1..51645a85 100644 --- a/pyenzyme/units/units.py +++ b/pyenzyme/units/units.py @@ -49,10 +49,10 @@ def set_scale(unit: _BaseUnit, scale: int) -> _BaseUnit: class Prefix(Enum): """Enumeration for unit prefixes with corresponding scales.""" - k = partial(set_scale, scale=3) - m = partial(set_scale, scale=-3) - u = partial(set_scale, scale=-6) - n = partial(set_scale, scale=-9) + k = partial(set_scale, scale=3.0) + m = partial(set_scale, scale=-3.0) + u = partial(set_scale, scale=-6.0) + n = partial(set_scale, scale=-9.0) def __mul__(self, other: _BaseUnit) -> _BaseUnit: """Multiply prefix with a BaseUnit. From 20e73a1db66347b0a09c0e31a92d2091b998c9ba Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 19:47:35 +0200 Subject: [PATCH 060/172] add function to extract the namespaces --- pyenzyme/xmlutils.py | 27 +++++++++++++++++++++++++++ 1 file changed, 27 insertions(+) diff --git a/pyenzyme/xmlutils.py b/pyenzyme/xmlutils.py index fb23f55c..f4fa58af 100644 --- a/pyenzyme/xmlutils.py +++ b/pyenzyme/xmlutils.py @@ -1,3 +1,4 @@ +import re import xml.dom.minidom as minidom import xml.etree.ElementTree as ET from enum import Enum @@ -130,3 +131,29 @@ def serialize_to_pretty_xml_string(element: ET.Element | None) -> str | None: def register_namespaces(nsmap: dict): for prefix, uri in nsmap.items(): ET.register_namespace(prefix, uri) + + +def extract_namespaces(xml_string: str | None) -> set[str]: + """Extract all namespaces from an ElementTree element. + + Args: + xml_string (str | None): The XML string to extract namespaces from. + + Returns: + set[str]: A set of namespace URIs. + """ + + if xml_string is None: + raise ValueError("No XML string provided") + + pattern = r"\{(.*)\}" + namespaces = set() + + root = ET.fromstring(xml_string) + + for child in root.iter(): + if match := re.match(pattern, child.tag): + uri = match.group(1) + namespaces.add(uri) + + return namespaces From 64b20753de4e823c24c9fa122fca0b7bf4000b02 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 19:47:55 +0200 Subject: [PATCH 061/172] update tests --- tests/fixtures/omex/invalid_no_master.omex | Bin 0 -> 26375 bytes tests/fixtures/omex/valid.omex | Bin 0 -> 2429 bytes tests/fixtures/sbml/ode_example_sbml.xml | 254 - tests/fixtures/sbml/reaction_example_sbml.xml | 217 - tests/fixtures/sbml/v1_example.omex | Bin 0 -> 13024 bytes tests/fixtures/sbml/v1_example_enzml.json | 7061 +++++++++++++++++ tests/fixtures/sbml/v1_meas.csv | 10 + tests/fixtures/tabular/data.csv | 23 - tests/fixtures/tabular/data.tsv | 23 + tests/fixtures/tabular/data_invalid.csv | 23 - tests/fixtures/tabular/data_invalid.tsv | 23 + tests/fixtures/tabular/data_invalid_chars.csv | 23 - tests/fixtures/tabular/data_invalid_chars.tsv | 23 + tests/integration/test_sbml.py | 102 +- tests/unit/test_omex.py | 37 + tests/unit/test_sbml_annot_v1.py | 154 + tests/unit/test_sbml_annot_v2.py | 210 + tests/unit/test_tabular.py | 7 +- 18 files changed, 7642 insertions(+), 548 deletions(-) create mode 100644 tests/fixtures/omex/invalid_no_master.omex create mode 100644 tests/fixtures/omex/valid.omex delete mode 100644 tests/fixtures/sbml/ode_example_sbml.xml delete mode 100644 tests/fixtures/sbml/reaction_example_sbml.xml create mode 100644 tests/fixtures/sbml/v1_example.omex create mode 100644 tests/fixtures/sbml/v1_example_enzml.json create mode 100644 tests/fixtures/sbml/v1_meas.csv delete mode 100644 tests/fixtures/tabular/data.csv create mode 100644 tests/fixtures/tabular/data.tsv delete mode 100644 tests/fixtures/tabular/data_invalid.csv create mode 100644 tests/fixtures/tabular/data_invalid.tsv delete mode 100644 tests/fixtures/tabular/data_invalid_chars.csv create mode 100644 tests/fixtures/tabular/data_invalid_chars.tsv create mode 100644 tests/unit/test_omex.py create mode 100644 tests/unit/test_sbml_annot_v1.py create mode 100644 tests/unit/test_sbml_annot_v2.py diff --git a/tests/fixtures/omex/invalid_no_master.omex b/tests/fixtures/omex/invalid_no_master.omex new file mode 100644 index 0000000000000000000000000000000000000000..6b4651cff5fee42e15a88b810766cdd35bd5bfe6 GIT binary patch literal 26375 zcmeHv1yok+)-Daw-6>$u9RkuF(%mJEq#z-wG)OnnrIdiuAR#F!-QC@Jzt3~r8xN@L z-!sO&j{m+4dW|*LGoQKUTC-khac~H95a6OLBUSnO!@s|vf)IlkTiENE8S86VSZbN; 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"schema:citation", + "@type": "@id" + }, + "created": "schema:dateCreated", + "modified": "schema:dateModified", + "creators": "schema:creator" + } +} \ No newline at end of file diff --git a/tests/fixtures/sbml/v1_meas.csv b/tests/fixtures/sbml/v1_meas.csv new file mode 100644 index 00000000..e3a821c1 --- /dev/null +++ b/tests/fixtures/sbml/v1_meas.csv @@ -0,0 +1,10 @@ +0.0,20.0,10.0,0.0,2.0 +1.0,16.385,8.72,2.66,3.705 +2.0,12.45,7.025,3.885,5.77 +3.0,9.255,5.94,4.815,8.035 +5.0,5.135,5.18,5.755,11.965 +10.0,0.645,5.815,4.9,17.28 +15.0,0.0,7.57,3.24,19.93 +20.0,0.0,8.945,1.915,21.36 +25.0,0.0,9.87,1.075,22.55 +30.0,0.0,10.575,0.575,23.38 diff --git a/tests/fixtures/tabular/data.csv b/tests/fixtures/tabular/data.csv deleted file mode 100644 index aac51d84..00000000 --- a/tests/fixtures/tabular/data.csv +++ /dev/null @@ -1,23 +0,0 @@ -time;s0;s1;id -0.0;0.0;10.0;m0 -1.0;1.0;9.0;m0 -2.0;2.0;8.0;m0 -3.0;3.0;7.0;m0 -4.0;4.0;6.0;m0 -5.0;5.0;5.0;m0 -6.0;6.0;4.0;m0 -7.0;7.0;3.0;m0 -8.0;8.0;2.0;m0 -9.0;9.0;1.0;m0 -10.0;10.0;0.0;m0 -0.0;0.0;10.0;m1 -1.0;1.0;9.0;m1 -2.0;2.0;8.0;m1 -3.0;3.0;7.0;m1 -4.0;4.0;6.0;m1 -5.0;5.0;5.0;m1 -6.0;6.0;4.0;m1 -7.0;7.0;3.0;m1 -8.0;8.0;2.0;m1 -9.0;9.0;1.0;m1 -10.0;10.0;0.0;m1 diff --git a/tests/fixtures/tabular/data.tsv b/tests/fixtures/tabular/data.tsv new file mode 100644 index 00000000..f99de1f4 --- /dev/null +++ b/tests/fixtures/tabular/data.tsv @@ -0,0 +1,23 @@ +time s0 s1 id +0.0 0.0 10.0 m0 +1.0 1.0 9.0 m0 +2.0 2.0 8.0 m0 +3.0 3.0 7.0 m0 +4.0 4.0 6.0 m0 +5.0 5.0 5.0 m0 +6.0 6.0 4.0 m0 +7.0 7.0 3.0 m0 +8.0 8.0 2.0 m0 +9.0 9.0 1.0 m0 +10.0 10.0 0.0 m0 +0.0 0.0 10.0 m1 +1.0 1.0 9.0 m1 +2.0 2.0 8.0 m1 +3.0 3.0 7.0 m1 +4.0 4.0 6.0 m1 +5.0 5.0 5.0 m1 +6.0 6.0 4.0 m1 +7.0 7.0 3.0 m1 +8.0 8.0 2.0 m1 +9.0 9.0 1.0 m1 +10.0 10.0 0.0 m1 diff --git a/tests/fixtures/tabular/data_invalid.csv b/tests/fixtures/tabular/data_invalid.csv deleted file mode 100644 index 2199d4a3..00000000 --- a/tests/fixtures/tabular/data_invalid.csv +++ /dev/null @@ -1,23 +0,0 @@ -s0;s1;id -0.0;10.0;m0 -1.0;9.0;m0 -2.0;8.0;m0 -3.0;7.0;m0 -4.0;6.0;m0 -5.0;5.0;m0 -6.0;4.0;m0 -7.0;3.0;m0 -8.0;2.0;m0 -9.0;1.0;m0 -10.0;0.0;m0 -0.0;10.0;m1 -1.0;9.0;m1 -2.0;8.0;m1 -3.0;7.0;m1 -4.0;6.0;m1 -5.0;5.0;m1 -6.0;4.0;m1 -7.0;3.0;m1 -8.0;2.0;m1 -9.0;1.0;m1 -10.0;0.0;m1 diff --git a/tests/fixtures/tabular/data_invalid.tsv b/tests/fixtures/tabular/data_invalid.tsv new file mode 100644 index 00000000..395f2a6c --- /dev/null +++ b/tests/fixtures/tabular/data_invalid.tsv @@ -0,0 +1,23 @@ +s0 s1 id +0.0 10.0 m0 +1.0 9.0 m0 +2.0 8.0 m0 +3.0 7.0 m0 +4.0 6.0 m0 +5.0 5.0 m0 +6.0 4.0 m0 +7.0 3.0 m0 +8.0 2.0 m0 +9.0 1.0 m0 +10.0 0.0 m0 +0.0 10.0 m1 +1.0 9.0 m1 +2.0 8.0 m1 +3.0 7.0 m1 +4.0 6.0 m1 +5.0 5.0 m1 +6.0 4.0 m1 +7.0 3.0 m1 +8.0 2.0 m1 +9.0 1.0 m1 +10.0 0.0 m1 diff --git a/tests/fixtures/tabular/data_invalid_chars.csv b/tests/fixtures/tabular/data_invalid_chars.csv deleted file mode 100644 index 2e89614b..00000000 --- a/tests/fixtures/tabular/data_invalid_chars.csv +++ /dev/null @@ -1,23 +0,0 @@ -s0;s1;id -0.0;10.0;m0 -1.0;m1;m0 -2.0;8.0;m0 -3.0;7.0;m0 -m0;6.0;m0 -5.0;5.0;m0 -6.0;4.0;m0 -7.0;3.0;m0 -8.0;2.0;m0 -9.0;1.0;m0 -10.0;0.0;m0 -0.0;10.0;m1 -1.0;9.0;m1 -2.0;8.0;m1 -3.0;7.0;m1 -4.0;6.0;m1 -5.0;5.0;m1 -6.0;4.0;m1 -7.0;3.0;m1 -8.0;2.0;m1 -9.0;1.0;m1 -10.0;0.0;m1 diff --git a/tests/fixtures/tabular/data_invalid_chars.tsv b/tests/fixtures/tabular/data_invalid_chars.tsv new file mode 100644 index 00000000..67c6b37f --- /dev/null +++ b/tests/fixtures/tabular/data_invalid_chars.tsv @@ -0,0 +1,23 @@ +s0 s1 id +0.0 10.0 m0 +1.0 m1 m0 +2.0 8.0 m0 +3.0 7.0 m0 +m0 6.0 m0 +5.0 5.0 m0 +6.0 4.0 m0 +7.0 3.0 m0 +8.0 2.0 m0 +9.0 1.0 m0 +10.0 0.0 m0 +0.0 10.0 m1 +1.0 9.0 m1 +2.0 8.0 m1 +3.0 7.0 m1 +4.0 6.0 m1 +5.0 5.0 m1 +6.0 4.0 m1 +7.0 3.0 m1 +8.0 2.0 m1 +9.0 1.0 m1 +10.0 0.0 m1 diff --git a/tests/integration/test_sbml.py b/tests/integration/test_sbml.py index f6acb232..63d91416 100644 --- a/tests/integration/test_sbml.py +++ b/tests/integration/test_sbml.py @@ -1,7 +1,11 @@ +import tempfile from pathlib import Path +import pyenzyme as pe +import pyenzyme.equations as peq from pyenzyme import EnzymeMLDocument -from pyenzyme.tools import to_dict_wo_json_ld +from pyenzyme.tools import to_dict_wo_json_ld, get_all_parameters +from pyenzyme.units import mM, s, K, ml class TestSBML: @@ -22,9 +26,9 @@ def test_parse_sbml_odes(self): parsed_doc == expected_doc ), "Parsed document does not match expected document" - def test_parse_sbml_reactions(self): + def test_v1_import(self): # Arrange - path = Path("tests/fixtures/sbml/reactions_example.omex") + path = Path("tests/fixtures/sbml/v1_example.omex") # Act enzmldoc = EnzymeMLDocument.from_sbml(path) @@ -32,9 +36,99 @@ def test_parse_sbml_reactions(self): # Assert parsed_doc = to_dict_wo_json_ld(enzmldoc) expected_doc = to_dict_wo_json_ld( - EnzymeMLDocument.read("tests/fixtures/sbml/reaction_example_enzml.json") + EnzymeMLDocument.read("tests/fixtures/sbml/v1_example_enzml.json") ) assert ( parsed_doc == expected_doc ), "Parsed document does not match expected document" + + def test_end_to_end(self): + # Arrange + + doc = pe.EnzymeMLDocument(name="Test") + + ml.id = "u0" + s.id = "u1" + mM.id = "u2" + K.id = "u3" + + # Add Vessels + vessel = doc.add_to_vessels(name="Vessel 1", volume=10.0, unit=ml, id="v0") + + # Add Species + substrate = doc.add_to_small_molecules( + id="s0", + name="Substrate", + vessel_id=vessel.id, + canonical_smiles="CC(=O)O", + inchikey="QTBSBXVTEAMEQO-UHFFFAOYSA-N", + ) + + doc.add_to_small_molecules( + id="s1", + name="Product", + vessel_id=vessel.id, + canonical_smiles="CC(=O)O", + inchikey="QTBSBXVTEAMEQO-UHFFFAOYSA-N", + ) + + # Add Enzyme + enzyme = doc.add_to_proteins( + id="p0", + name="Enzyme", + sequence="MTEY", + vessel_id=vessel.id, + ecnumber="1.1.1.1", + organism="E.coli", + organism_tax_id="12345", + ) + + doc.add_to_complexes( + id="c0", + name="Enzyme-Substrate Complex", + participants=[enzyme.id, substrate.id], + ) + + doc.equations += peq.build_equations( + "s1'(t) = kcat * E_tot * s0(t) / (K_m + s0(t))", + "E_tot = 100", + unit_mapping={"kcat": 1 / s, "K_m": mM, "E_tot": mM}, + enzmldoc=doc, + ) + + doc.measurements += pe.read_excel( + "tests/fixtures/tabular/data.xlsx", + data_unit=mM, + time_unit=s, + ) + + for parameter in get_all_parameters(doc): + parameter.lower = 0.0 + parameter.upper = 100.0 + parameter.stderr = 0.1 + + for meas in doc.measurements: + meas.temperature = 298.15 + meas.temperature_unit = K + meas.ph = 7.0 + + with tempfile.TemporaryDirectory() as dirname: + path = Path(dirname) / "test.omex" + doc.to_sbml(path) + + # Act + enzmldoc = EnzymeMLDocument.from_sbml(path) + + # Assert + parsed_doc = to_dict_wo_json_ld(enzmldoc) + expected_doc = to_dict_wo_json_ld(doc) + + # Remove spaces of equation + for eq in parsed_doc["equations"]: + eq["equation"] = eq["equation"].replace(" * ", "*") + eq["equation"] = eq["equation"].replace(" / ", "/") + + assert ( + parsed_doc == expected_doc + ), "Parsed document does not match expected document" diff --git a/tests/unit/test_omex.py b/tests/unit/test_omex.py new file mode 100644 index 00000000..31bddade --- /dev/null +++ b/tests/unit/test_omex.py @@ -0,0 +1,37 @@ +from pathlib import Path + +import pandas as pd +import pytest + +from pyenzyme.sbml import read_sbml_omex + + +class TestOmex: + def test_valid_omex(self): + # Arrange + path = Path("./tests/fixtures/omex/valid.omex") + + # Arrange + sbml_file, data = read_sbml_omex(path=path) + + # Assert + expected_data = pd.read_csv("./tests/fixtures/tabular/data.tsv", sep="\t") + + assert sbml_file is not None, "SBML file is None" + assert data is not None, "Data is None" + assert len(data) > 0, "Data is empty" + assert isinstance(data, dict), "Data is not a dict" + + assert "./data.tsv" in data, "Key 'something' not found in data" + assert data["./data.tsv"] is not None, "Data is None" + assert data["./data.tsv"].equals( + expected_data + ), "Data is not equal to expected data" + + def test_invalid_omex_no_master(self): + # Arrange + path = Path("./tests/fixtures/omex/invalid_no_master.omex") + + # Act + with pytest.raises(ValueError): + sbml_file, data = read_sbml_omex(path=path) diff --git a/tests/unit/test_sbml_annot_v1.py b/tests/unit/test_sbml_annot_v1.py new file mode 100644 index 00000000..2380b675 --- /dev/null +++ b/tests/unit/test_sbml_annot_v1.py @@ -0,0 +1,154 @@ +import pandas as pd + +from pyenzyme.sbml.versions.v1 import ( + DataAnnot, + ReactantAnnot, + ComplexAnnot, + ProteinAnnot, +) +from pyenzyme.units import M + + +class TestSBMLAnnotV1: + def test_reactant_annotation(self): + # Arrange + xml_string = """ + + SomeInChI + SomeSmiles + 29111 + + """ + + # Act + obj = ReactantAnnot.from_xml(xml_string) + + # Assert + assert obj.inchi == "SomeInChI", "InChI is different" + assert obj.smiles == "SomeSmiles", "SMILES is different" + assert obj.chebi_id == "29111", "Chebi ID is different" + + def test_complex_annotation(self): + # Arrange + xml_string = """ + + s0 + s1 + + """ + + # Act + obj = ComplexAnnot.from_xml(xml_string) + + # Assert + assert len(obj.participants) == 2, "Expected 2 participants" + assert obj.participants[0] == "s0", "Expected participant 's0'" + assert obj.participants[1] == "s1", "Expected participant 's1'" + + def test_protein_annotation(self): + # Arrange + xml_string = """ + + HLV + 3.1.1.43 + B0RS62 + SomeOrganism + 12345 + + """ + + # Act + obj = ProteinAnnot.from_xml(xml_string) + + # Assert + assert obj.uniprotid == "B0RS62", "UniProt ID is different" + assert obj.sequence == "HLV", "Sequence is different" + assert obj.ecnumber == "3.1.1.43", "EC number is different" + assert obj.organism == "SomeOrganism", "Organism is different" + assert obj.organism_tax_id == "12345", "Organism tax ID is different" + + def test_data_annotation(self): + # Arrange + xml_string = """ + + + + + + + + + + + + + + + + + + + + + + + + """ + + data = pd.read_csv( + "./tests/fixtures/sbml/v1_meas.csv", + header=None, + ) + + # Act + obj = DataAnnot.from_xml(xml_string) + measurements = obj.to_measurements( + meas_data={"./data/m0.csv": data}, + units={ + "u1": M, + "u2": M, + "u3": M, + "u4": M, + }, + ) + + # Assert + assert len(obj.formats) == 1, "Expected 1 format" + assert len(obj.measurements) == 1, "Expected 1 measurement" + assert len(obj.files) == 1, "Expected 1 file" + + # Assert transformed data + meas = measurements[0] + expected_species = { + "s0": 20.0, + "s1": 10.0, + "s2": 0.0, + "s3": 2.0, + "p0": 0.0002, + } + + assert meas.id == "m0", "Expected id 'm0'" + assert ( + meas.name == "Cephalexin synthesis 1" + ), "Expected name 'Cephalexin synthesis 1'" + + for species, initial in expected_species.items(): + species_data = meas.filter_species_data(species_id=species) + + assert len(species_data) == 1, f"Expected 1 species data for {species}" + + species_data = species_data[0] + + assert ( + species_data.initial == initial + ), f"Expected initial concentration {initial} for {species}" + + if species == "p0": + assert len(species_data.data) == 0, f"Expected no values for {species}" + else: + assert len(species_data.time) == 10, "Expected 10 time points" + assert len(species_data.data) == 10, f"Expected 10 values for {species}" diff --git a/tests/unit/test_sbml_annot_v2.py b/tests/unit/test_sbml_annot_v2.py new file mode 100644 index 00000000..1d7aebe1 --- /dev/null +++ b/tests/unit/test_sbml_annot_v2.py @@ -0,0 +1,210 @@ +from pyenzyme.sbml.versions.v2 import ( + DataAnnot, + MeasurementAnnot, + ConditionsAnnot, + SpeciesDataAnnot, + TemperatureAnnot, + PHAnnot, + SmallMoleculeAnnot, + ProteinAnnot, + ParameterAnnot, + VariablesAnnot, + VariableAnnot, +) + + +class TestSBMLAnnotsV2: + def test_equation_variables(self): + # Arrange + xml_string = """ + + + + + """ + + # Act + variables = VariablesAnnot.from_xml(xml_string) + + # Assert + expected = VariablesAnnot( + variables=[ + VariableAnnot( + id="s0", + name="s0", + symbol="s0", + ), + VariableAnnot( + id="s1", + name="s1", + symbol="s1", + ), + ], + ) + + assert ( + variables.model_dump() == expected.model_dump() + ), "Variables annotation was not parsed correctly" + + def test_parameter_annot(self): + # Arrange + xml_string = """ + + 0.0 + 100.0 + 0.1 + + """ + + # Act + parameter = ParameterAnnot.from_xml(xml_string) + + # Assert + expected = ParameterAnnot( + lower=0.0, + upper=100.0, + stderr=0.1, + ) + + assert ( + parameter.model_dump() == expected.model_dump() + ), "Parameter annotation was not parsed correctly" + + def test_protein_annot(self): + # Arrange + xml_string = """ + + 1.1.1.1 + E.coli + 12345 + MTEY + + """ + + # Act + protein = ProteinAnnot.from_xml(xml_string) + + # Assert + expected = ProteinAnnot( + ecnumber="1.1.1.1", + organism="E.coli", + organism_tax_id="12345", + sequence="MTEY", + ) + + assert ( + protein.model_dump() == expected.model_dump() + ), "Protein annotation was not parsed correctly" + + def test_small_mol_annot(self): + # Arrange + xml_string = """ + + QTBSBXVTEAMEQO-UHFFFAOYSA-N + CC(=O)O + + """ + + # Act + small_molecule = SmallMoleculeAnnot.from_xml(xml_string) + + # Assert + expected = SmallMoleculeAnnot( + inchikey="QTBSBXVTEAMEQO-UHFFFAOYSA-N", + canonical_smiles="CC(=O)O", + ) + + assert ( + small_molecule.model_dump() == expected.model_dump() + ), "Small molecule annotation was not parsed correctly" + + def test_data_annot(self): + # Arrange + xml_string = """ + + + + + + + + + + + + + + + + + + + """ + + # Act + data = DataAnnot.from_xml(xml_string) + + # Assert + expected = DataAnnot( + file="data.tsv", + measurements=[ + MeasurementAnnot( + id="m0", + name="m0", + time_unit="u1", + conditions=ConditionsAnnot( + ph=PHAnnot( + value=7.0, + ), + temperature=TemperatureAnnot( + value=298.15, + unit="u3", + ), + ), + species_data=[ + SpeciesDataAnnot( + species_id="s0", + unit="u2", + type="CONCENTRATION", + ), + SpeciesDataAnnot( + species_id="s1", + initial=10.0, + unit="u2", + type="CONCENTRATION", + ), + ], + ), + MeasurementAnnot( + id="m1", + name="m1", + time_unit="u1", + conditions=ConditionsAnnot( + ph=PHAnnot( + value=7.0, + ), + temperature=TemperatureAnnot( + value=298.15, + unit="u3", + ), + ), + species_data=[ + SpeciesDataAnnot( + species_id="s0", + unit="u2", + type="CONCENTRATION", + ), + SpeciesDataAnnot( + species_id="s1", + initial=10.0, + unit="u2", + type="CONCENTRATION", + ), + ], + ), + ], + ) + + assert ( + data.model_dump() == expected.model_dump() + ), "Data annotation was not parsed correctly" diff --git a/tests/unit/test_tabular.py b/tests/unit/test_tabular.py index 6a3bced8..1b08bff6 100644 --- a/tests/unit/test_tabular.py +++ b/tests/unit/test_tabular.py @@ -60,10 +60,9 @@ def test_csv_import(self): """Test that a CSV file can be imported to a pandas DataFrame""" # Act meas = pe.read_csv( - "tests/fixtures/tabular/data.csv", + "tests/fixtures/tabular/data.tsv", data_unit=mM, time_unit=s, - sep=";", ) # Assert @@ -130,7 +129,7 @@ def test_invalid_types(self): # Act with pytest.raises(AssertionError): pe.read_csv( - "tests/fixtures/tabular/data_invalid_chars.csv", + "tests/fixtures/tabular/data_invalid_chars.tsv", data_unit=mM, time_unit=s, ) @@ -140,7 +139,7 @@ def test_invalid_csv(self): # Act with pytest.raises(AssertionError): pe.read_csv( - "tests/fixtures/tabular/data_invalid.csv", + "tests/fixtures/tabular/data_invalid.tsv", data_unit=mM, time_unit=s, ) From 19f928186cc98fb3417f1f9cad44e65162739543 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 19:48:09 +0200 Subject: [PATCH 062/172] add `pydantic-xml` dep --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 681febd7..1245b092 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ python-libsbml = "^5.20.2" toml = "^0.10.2" rich = "^13.7.1" pandas = ">=2.0,<2.2.2" -pydantic = "^2.7.4" +pydantic-xml = "^2.12.1" loguru = "^0.7.2" rdflib = "7.0.0" sympy = "^1.12.1" From 8e234dd23660400aee68658dd615a6d6c8af0e42 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 19:48:22 +0200 Subject: [PATCH 063/172] add testing section --- README.md | 33 +++++++++++++++++++++++++++++---- 1 file changed, 29 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 93716b65..fd62835a 100644 --- a/README.md +++ b/README.md @@ -17,6 +17,7 @@ PyEnzyme is the interface to the data model EnzymeML and offers a conveni - **Visualize** experimental results for inspection and publication. ## ⚡️ Quick start + Get started with PyEnzyme by running the following command ``` @@ -25,6 +26,7 @@ python -m pip install pyenzyme ``` Or build by source + ``` git clone https://github.com/EnzymeML/PyEnzyme.git cd PyEnzyme @@ -32,7 +34,10 @@ python3 setup.py install ``` ### ⚙️ Package Options -PyEnzyme comes with many flavors, choose whether you want only the base installation, the modeling package or all of it using the following options. + +PyEnzyme comes with many flavors, choose whether you want only the base installation, the modeling package or all of it +using the following options. + ``` # COPASI - modeling python -m pip install "pyenzyme[copasi]" @@ -55,17 +60,37 @@ python -m pip install "pyenzyme[all]" ## ⚙️ Example code -This example will demonstrate how to create a simple EnzymeML document using PyEnzyme and how to use initializers from official databases **Chebi** and **UniProt** to gather metadata. For more examples, please visit our [documentation](https://pyenzyme.readthedocs.io/en/latest/index.html#) (Work in progress) +This example will demonstrate how to create a simple EnzymeML document using PyEnzyme and how to use initializers from +official databases **Chebi** and **UniProt** to gather metadata. For more examples, please visit +our [documentation](https://pyenzyme.readthedocs.io/en/latest/index.html#) (Work in progress) ```python # To be added for V2 ``` + (Code should run as it is) ## 📖 Documentation and more examples -Explore all the features of **PyEnzyme** in our [documentation](https://pyenzyme.readthedocs.io/en/latest/index.html#) and take part in [Discussions](https://github.com/EnzymeML/PyEnzyme/discussions) and/or [Issues](https://github.com/EnzymeML/PyEnzyme/issues). +Explore all the features of **PyEnzyme** in our [documentation](https://pyenzyme.readthedocs.io/en/latest/index.html#) +and take part in [Discussions](https://github.com/EnzymeML/PyEnzyme/discussions) +and/or [Issues](https://github.com/EnzymeML/PyEnzyme/issues). + +## 🧪 Testing + +In order to run tests there are two different ways. First you can utilize `pytest` directly by running the following: + +```bash +python -m pytest -vv +``` + +Or you can the provided Dockerfile to run the tests in a containerized environment. + +```bash +docker build -t pyenzyme . +``` ## ⚠️ License -`PyEnzyme` is free and open-source software licensed under the [BSD 2-Clause License](https://github.com/EnzymeML/PyEnzyme/blob/main/LICENSE). +`PyEnzyme` is free and open-source software licensed under +the [BSD 2-Clause License](https://github.com/EnzymeML/PyEnzyme/blob/main/LICENSE). From 93713f058138a344071705c8ce5bf10396e60652 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 19:48:37 +0200 Subject: [PATCH 064/172] add container test --- Dockerfile | 11 +++++++++++ 1 file changed, 11 insertions(+) create mode 100644 Dockerfile diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 00000000..6c7549c0 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,11 @@ +FROM python:3.11.9-slim-bullseye + +RUN apt-get update +RUN pip install poetry + +WORKDIR /app +COPY . /app + +RUN poetry install --with tests + +ENTRYPOINT ["poetry", "run", "pytest", "-vv"] \ No newline at end of file From 7830cd83fffa39d6f9477e0cbe3e9c0ebf060cca Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 20:19:54 +0200 Subject: [PATCH 065/172] check fragments instead of complete uris --- pyenzyme/sbml/omex.py | 29 ++++++++++++++++++----------- 1 file changed, 18 insertions(+), 11 deletions(-) diff --git a/pyenzyme/sbml/omex.py b/pyenzyme/sbml/omex.py index 72bb9fca..5db9af5d 100644 --- a/pyenzyme/sbml/omex.py +++ b/pyenzyme/sbml/omex.py @@ -20,8 +20,9 @@ class FileURI(enum.Enum): TSV (str): URI for TSV files. """ - CSV = "http://purl.org/NET/mediatypes/text/csv" - TSV = "https://purl.org/NET/mediatypes/text/tab-separated-values" + CSV = "/csv" + TSV_LONG = "/tab-separated-values" + TSV = "/tsv" @classmethod def from_uri(cls, uri: str): @@ -37,13 +38,12 @@ def from_uri(cls, uri: str): Raises: ValueError: If the URI is not supported. """ - match uri: - case cls.CSV.value: - return cls.CSV - case cls.TSV.value: - return cls.TSV - case _: - raise ValueError(f"Unsupported file URI: {uri}") + + for entry in cls: + if entry.value in uri: + return entry + + raise ValueError(f"Unsupported file URI: {uri}") @classmethod def is_supported(cls, uri): @@ -56,7 +56,7 @@ def is_supported(cls, uri): Returns: bool: True if the URI is supported, False otherwise. """ - return uri in [e.value for e in cls] + return any([e.value in uri for e in cls]) def to_dataframe(self, path): """ @@ -78,6 +78,9 @@ def to_dataframe(self, path): case self.TSV: # V2 format has headers return pd.read_csv(path, sep="\t") + case self.TSV_LONG: + # V2 format has headers + return pd.read_csv(path, sep="\t") case _: raise ValueError(f"Unsupported file format: {self}") @@ -143,7 +146,11 @@ def read_sbml_omex(path: Path) -> tuple[TextIO, dict[str, pd.DataFrame]]: omex = Omex.from_omex(path) try: - master_file = next(part for part in omex.manifest.entries if part.master) + master_file = next( + part + for part in omex.manifest.entries + if part.master and "/sbml" in part.format + ) except StopIteration: raise ValueError("No master file found in OMEX archive") From 64cd2103b3d575fd5c225e1492a2b8979657a0b6 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sat, 7 Sep 2024 20:23:07 +0200 Subject: [PATCH 066/172] if multiplier is `1` set it to `None` --- pyenzyme/sbml/parser.py | 2 + tests/fixtures/sbml/v1_example_enzml.json | 174 +++++++++++----------- 2 files changed, 89 insertions(+), 87 deletions(-) diff --git a/pyenzyme/sbml/parser.py b/pyenzyme/sbml/parser.py index c1a5bc41..b000300e 100644 --- a/pyenzyme/sbml/parser.py +++ b/pyenzyme/sbml/parser.py @@ -140,6 +140,8 @@ def _parse_unit(unit: sbml.UnitDefinition): if math.isnan(multiplier): multiplier = None + elif multiplier == 1.0: + multiplier = None enzml_unit.add_to_base_units( kind=kind, diff --git a/tests/fixtures/sbml/v1_example_enzml.json b/tests/fixtures/sbml/v1_example_enzml.json index 58f51ec0..772e07a7 100644 --- a/tests/fixtures/sbml/v1_example_enzml.json +++ b/tests/fixtures/sbml/v1_example_enzml.json @@ -16,7 +16,7 @@ { "kind": "litre", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/1dc4d70c-b72b-4f9b-9b23-6c034e300b76", "ld_type": [ @@ -2077,7 +2077,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -2092,7 +2092,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -2173,7 +2173,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -2188,7 +2188,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -2291,7 +2291,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -2306,7 +2306,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -2409,7 +2409,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -2424,7 +2424,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -2527,7 +2527,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -2542,7 +2542,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -2671,7 +2671,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -2686,7 +2686,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -2767,7 +2767,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -2782,7 +2782,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -2885,7 +2885,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -2900,7 +2900,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -3003,7 +3003,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -3018,7 +3018,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -3121,7 +3121,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -3136,7 +3136,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -3265,7 +3265,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -3280,7 +3280,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -3361,7 +3361,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -3376,7 +3376,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -3479,7 +3479,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -3494,7 +3494,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -3597,7 +3597,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -3612,7 +3612,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -3715,7 +3715,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -3730,7 +3730,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -3859,7 +3859,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -3874,7 +3874,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -3955,7 +3955,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -3970,7 +3970,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -4073,7 +4073,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -4088,7 +4088,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -4191,7 +4191,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -4206,7 +4206,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -4309,7 +4309,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -4324,7 +4324,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -4453,7 +4453,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -4468,7 +4468,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -4549,7 +4549,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -4564,7 +4564,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -4667,7 +4667,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -4682,7 +4682,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -4785,7 +4785,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -4800,7 +4800,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -4903,7 +4903,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -4918,7 +4918,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -5047,7 +5047,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -5062,7 +5062,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -5143,7 +5143,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -5158,7 +5158,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -5261,7 +5261,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -5276,7 +5276,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -5379,7 +5379,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -5394,7 +5394,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -5497,7 +5497,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -5512,7 +5512,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -5641,7 +5641,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -5656,7 +5656,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -5737,7 +5737,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -5752,7 +5752,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -5855,7 +5855,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -5870,7 +5870,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -5973,7 +5973,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -5988,7 +5988,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -6091,7 +6091,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -6106,7 +6106,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -6235,7 +6235,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -6250,7 +6250,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -6331,7 +6331,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -6346,7 +6346,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -6449,7 +6449,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -6464,7 +6464,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -6567,7 +6567,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -6582,7 +6582,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -6685,7 +6685,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -6700,7 +6700,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -6830,7 +6830,7 @@ { "kind": "litre", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/3d69db1d-0c29-42d6-8db8-869e82a0872b", "ld_type": [ @@ -6845,7 +6845,7 @@ { "kind": "mole", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/65742653-abe1-48cf-bdb8-870e5eb72651", "ld_type": [ @@ -6914,7 +6914,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -6929,7 +6929,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ @@ -6983,7 +6983,7 @@ { "kind": "litre", "exponent": -1, - "multiplier": 1.0, + "multiplier": null, "scale": 1.0, "ld_id": "enzml:BaseUnit/189b3a40-6d06-46db-9aef-55d155524e46", "ld_type": [ @@ -6998,7 +6998,7 @@ { "kind": "mole", "exponent": 1, - "multiplier": 1.0, + "multiplier": null, "scale": -3.0, "ld_id": "enzml:BaseUnit/9e7ff171-3d2e-4496-bb5d-4b6eff88703c", "ld_type": [ From 1e3bee51c8dc99949b7d629e811e69729185507a Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sun, 8 Sep 2024 00:02:38 +0200 Subject: [PATCH 067/172] add run command --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index fd62835a..d3ce498a 100644 --- a/README.md +++ b/README.md @@ -88,6 +88,7 @@ Or you can the provided Dockerfile to run the tests in a containerized environme ```bash docker build -t pyenzyme . +docker run pyenzyme ``` ## ⚠️ License From 2b702a27aa605eb89b18de0a51290da808f1d93e Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sun, 8 Sep 2024 11:49:27 +0200 Subject: [PATCH 068/172] add `vessel_id` to `Complex` - Added to SBML serializer - Added to SBML validation --- pyenzyme/model.py | 652 +++++++++++++++++++++--------------- pyenzyme/sbml/serializer.py | 2 +- pyenzyme/sbml/validation.py | 2 +- 3 files changed, 377 insertions(+), 279 deletions(-) diff --git a/pyenzyme/model.py b/pyenzyme/model.py index 314e63b0..7b056e64 100644 --- a/pyenzyme/model.py +++ b/pyenzyme/model.py @@ -1,18 +1,16 @@ ## This is a generated file. Do not modify it manually! from __future__ import annotations - +from pydantic import BaseModel, Field, ConfigDict +from typing import Optional, Generic, TypeVar from enum import Enum -from typing import Generic, Optional, TypeVar from uuid import uuid4 - -from pydantic import BaseModel, ConfigDict, Field +from datetime import date, datetime # Filter Wrapper definition used to filter a list of objects # based on their attributes Cls = TypeVar("Cls") - class FilterWrapper(Generic[Cls]): """Wrapper class to filter a list of objects based on their attributes""" @@ -49,8 +47,7 @@ def add_namespace(obj, prefix: str | None, iri: str | None): elif iri and prefix is None: raise ValueError("If iri is provided, prefix must also be provided") - obj.ld_context[prefix] = iri # type: ignore - + obj.ld_context[prefix] = iri # type: ignore def validate_prefix(term: str | dict, prefix: str): """Validates that a term is prefixed with a given prefix @@ -68,14 +65,13 @@ def validate_prefix(term: str | dict, prefix: str): elif isinstance(term, str) and not term.startswith(prefix + ":"): raise ValueError(f"Term {term} is not prefixed with {prefix}") - # Model Definitions - class EnzymeMLDocument(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore name: str references: list[str] = Field(default_factory=list) @@ -94,20 +90,20 @@ class EnzymeMLDocument(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()), + default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:EnzymeMLDocument", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "name": "schema:title", "references": { "@id": "schema:citation", @@ -116,7 +112,7 @@ class EnzymeMLDocument(BaseModel): "created": "schema:dateCreated", "modified": "schema:dateModified", "creators": "schema:creator", - }, + } ) def filter_creators(self, **kwargs) -> list[Creator]: @@ -227,12 +223,13 @@ def filter_parameters(self, **kwargs) -> list[Parameter]: return FilterWrapper[Parameter](self.parameters, **kwargs).filter() + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -254,9 +251,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -265,7 +260,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -292,6 +290,7 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) + def add_to_creators( self, given_name: str, @@ -299,22 +298,29 @@ def add_to_creators( mail: str, **kwargs, ): - params = {"given_name": given_name, "family_name": family_name, "mail": mail} + params = { + "given_name": given_name, + "family_name": family_name, + "mail": mail + } if "id" in kwargs: params["id"] = kwargs["id"] - self.creators.append(Creator(**params)) + self.creators.append( + Creator(**params) + ) return self.creators[-1] + def add_to_vessels( self, id: str, name: str, volume: float, unit: UnitDefinition, - constant: bool = True, + constant: bool= True, **kwargs, ): params = { @@ -322,27 +328,30 @@ def add_to_vessels( "name": name, "volume": volume, "unit": unit, - "constant": constant, + "constant": constant } if "id" in kwargs: params["id"] = kwargs["id"] - self.vessels.append(Vessel(**params)) + self.vessels.append( + Vessel(**params) + ) return self.vessels[-1] + def add_to_proteins( self, id: str, name: str, - constant: bool = False, - sequence: Optional[str] = None, - vessel_id: Optional[str] = None, - ecnumber: Optional[str] = None, - organism: Optional[str] = None, - organism_tax_id: Optional[str] = None, - references: list[str] = [], + constant: bool= False, + sequence: Optional[str]= None, + vessel_id: Optional[str]= None, + ecnumber: Optional[str]= None, + organism: Optional[str]= None, + organism_tax_id: Optional[str]= None, + references: list[str]= [], **kwargs, ): params = { @@ -354,48 +363,56 @@ def add_to_proteins( "ecnumber": ecnumber, "organism": organism, "organism_tax_id": organism_tax_id, - "references": references, + "references": references } if "id" in kwargs: params["id"] = kwargs["id"] - self.proteins.append(Protein(**params)) + self.proteins.append( + Protein(**params) + ) return self.proteins[-1] + def add_to_complexes( self, id: str, name: str, - constant: bool = False, - participants: list[str] = [], + constant: bool= False, + vessel_id: Optional[str]= None, + participants: list[str]= [], **kwargs, ): params = { "id": id, "name": name, "constant": constant, - "participants": participants, + "vessel_id": vessel_id, + "participants": participants } if "id" in kwargs: params["id"] = kwargs["id"] - self.complexes.append(Complex(**params)) + self.complexes.append( + Complex(**params) + ) return self.complexes[-1] + def add_to_small_molecules( self, id: str, name: str, - constant: bool = False, - vessel_id: Optional[str] = None, - canonical_smiles: Optional[str] = None, - inchi: Optional[str] = None, - inchikey: Optional[str] = None, - references: list[str] = [], + constant: bool= False, + vessel_id: Optional[str]= None, + canonical_smiles: Optional[str]= None, + inchi: Optional[str]= None, + inchikey: Optional[str]= None, + references: list[str]= [], **kwargs, ): params = { @@ -406,24 +423,27 @@ def add_to_small_molecules( "canonical_smiles": canonical_smiles, "inchi": inchi, "inchikey": inchikey, - "references": references, + "references": references } if "id" in kwargs: params["id"] = kwargs["id"] - self.small_molecules.append(SmallMolecule(**params)) + self.small_molecules.append( + SmallMolecule(**params) + ) return self.small_molecules[-1] + def add_to_reactions( self, id: str, name: str, - reversible: bool = False, - kinetic_law: Optional[Equation] = None, - species: list[ReactionElement] = [], - modifiers: list[str] = [], + reversible: bool= False, + kinetic_law: Optional[Equation]= None, + species: list[ReactionElement]= [], + modifiers: list[str]= [], **kwargs, ): params = { @@ -432,25 +452,28 @@ def add_to_reactions( "reversible": reversible, "kinetic_law": kinetic_law, "species": species, - "modifiers": modifiers, + "modifiers": modifiers } if "id" in kwargs: params["id"] = kwargs["id"] - self.reactions.append(Reaction(**params)) + self.reactions.append( + Reaction(**params) + ) return self.reactions[-1] + def add_to_measurements( self, id: str, name: str, - species_data: list[MeasurementData] = [], - group_id: Optional[str] = None, - ph: Optional[float] = None, - temperature: Optional[float] = None, - temperature_unit: Optional[UnitDefinition] = None, + species_data: list[MeasurementData]= [], + group_id: Optional[str]= None, + ph: Optional[float]= None, + temperature: Optional[float]= None, + temperature_unit: Optional[UnitDefinition]= None, **kwargs, ): params = { @@ -460,50 +483,56 @@ def add_to_measurements( "group_id": group_id, "ph": ph, "temperature": temperature, - "temperature_unit": temperature_unit, + "temperature_unit": temperature_unit } if "id" in kwargs: params["id"] = kwargs["id"] - self.measurements.append(Measurement(**params)) + self.measurements.append( + Measurement(**params) + ) return self.measurements[-1] + def add_to_equations( self, equation: str, equation_type: EquationType, - species_id: Optional[str] = None, - variables: list[Variable] = [], + species_id: Optional[str]= None, + variables: list[Variable]= [], **kwargs, ): params = { "equation": equation, "equation_type": equation_type, "species_id": species_id, - "variables": variables, + "variables": variables } if "id" in kwargs: params["id"] = kwargs["id"] - self.equations.append(Equation(**params)) + self.equations.append( + Equation(**params) + ) return self.equations[-1] + def add_to_parameters( self, id: str, name: str, symbol: str, - value: Optional[float] = None, - unit: Optional[UnitDefinition] = None, - initial_value: Optional[float] = None, - upper: Optional[float] = None, - lower: Optional[float] = None, - stderr: Optional[float] = None, - constant: Optional[bool] = True, + value: Optional[float]= None, + unit: Optional[UnitDefinition]= None, + initial_value: Optional[float]= None, + upper: Optional[float]= None, + lower: Optional[float]= None, + stderr: Optional[float]= None, + constant: Optional[bool]= True, **kwargs, ): params = { @@ -516,21 +545,23 @@ def add_to_parameters( "upper": upper, "lower": lower, "stderr": stderr, - "constant": constant, + "constant": constant } if "id" in kwargs: params["id"] = kwargs["id"] - self.parameters.append(Parameter(**params)) + self.parameters.append( + Parameter(**params) + ) return self.parameters[-1] - class Creator(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore given_name: str family_name: str @@ -539,30 +570,33 @@ class Creator(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Creator/" + str(uuid4()), + default_factory=lambda: "enzml:Creator/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["enzml:Creator", "schema:person"], + default_factory = lambda: [ + "enzml:Creator","schema:person" + ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "given_name": "schema:givenName", "family_name": "schema:familyName", "mail": "schema:email", - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -584,9 +618,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -595,7 +627,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -624,9 +659,10 @@ def add_type_term( class Vessel(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str @@ -637,33 +673,36 @@ class Vessel(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Vessel/" + str(uuid4()), + default_factory=lambda: "enzml:Vessel/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["enzml:Vessel", "OBO:OBI_0400081"], + default_factory = lambda: [ + "enzml:Vessel","OBO:OBI_0400081" + ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", }, "name": "schema:name", "volume": "OBO:OBI_0002139", - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -685,9 +724,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -696,7 +733,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -725,9 +765,10 @@ def add_type_term( class Protein(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str @@ -742,18 +783,20 @@ class Protein(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Protein/" + str(uuid4()), + default_factory=lambda: "enzml:Protein/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["enzml:Protein", "schema:Protein"], + default_factory = lambda: [ + "enzml:Protein","schema:Protein" + ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@type": "@id", }, @@ -771,15 +814,16 @@ class Protein(BaseModel): "@id": "schema:citation", "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -801,9 +845,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -812,7 +854,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -841,49 +886,56 @@ def add_type_term( class Complex(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str constant: bool = False + vessel_id: Optional[str] = Field(default=None) participants: list[str] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Complex/" + str(uuid4()), + default_factory=lambda: "enzml:Complex/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Complex", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", }, "name": "schema:name", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id", + }, "participants": { "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -905,9 +957,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -916,7 +966,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -945,9 +998,10 @@ def add_type_term( class SmallMolecule(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str @@ -961,20 +1015,20 @@ class SmallMolecule(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()), + default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:SmallMolecule", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -988,15 +1042,16 @@ class SmallMolecule(BaseModel): "@id": "schema:citation", "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1018,9 +1073,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1029,7 +1082,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1058,9 +1114,10 @@ def add_type_term( class Reaction(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str @@ -1072,20 +1129,20 @@ class Reaction(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Reaction/" + str(uuid4()), + default_factory=lambda: "enzml:Reaction/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Reaction", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1093,7 +1150,7 @@ class Reaction(BaseModel): "modifiers": { "@type": "@id", }, - }, + } ) def filter_species(self, **kwargs) -> list[ReactionElement]: @@ -1108,12 +1165,13 @@ def filter_species(self, **kwargs) -> list[ReactionElement]: return FilterWrapper[ReactionElement](self.species, **kwargs).filter() + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1135,9 +1193,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1146,7 +1202,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1173,26 +1232,33 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) + def add_to_species( self, species_id: str, stoichiometry: float, **kwargs, ): - params = {"species_id": species_id, "stoichiometry": stoichiometry} + params = { + "species_id": species_id, + "stoichiometry": stoichiometry + } if "id" in kwargs: params["id"] = kwargs["id"] - self.species.append(ReactionElement(**params)) + self.species.append( + ReactionElement(**params) + ) return self.species[-1] class ReactionElement(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore species_id: str stoichiometry: float @@ -1200,32 +1266,33 @@ class ReactionElement(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()), + default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:ReactionElement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1247,9 +1314,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1258,7 +1323,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1287,9 +1355,10 @@ def add_type_term( class Equation(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore equation: str equation_type: EquationType @@ -1299,24 +1368,24 @@ class Equation(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Equation/" + str(uuid4()), + default_factory=lambda: "enzml:Equation/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Equation", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id", }, - }, + } ) def filter_variables(self, **kwargs) -> list[Variable]: @@ -1331,12 +1400,13 @@ def filter_variables(self, **kwargs) -> list[Variable]: return FilterWrapper[Variable](self.variables, **kwargs).filter() + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1358,9 +1428,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1369,7 +1437,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1396,6 +1467,7 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) + def add_to_variables( self, id: str, @@ -1403,20 +1475,26 @@ def add_to_variables( symbol: str, **kwargs, ): - params = {"id": id, "name": name, "symbol": symbol} + params = { + "id": id, + "name": name, + "symbol": symbol + } if "id" in kwargs: params["id"] = kwargs["id"] - self.variables.append(Variable(**params)) + self.variables.append( + Variable(**params) + ) return self.variables[-1] - class Variable(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str @@ -1425,30 +1503,31 @@ class Variable(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Variable/" + str(uuid4()), + default_factory=lambda: "enzml:Variable/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Variable", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": "schema:identifier", - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1470,9 +1549,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1481,7 +1558,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1510,9 +1590,10 @@ def add_type_term( class Parameter(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str @@ -1528,33 +1609,34 @@ class Parameter(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Parameter/" + str(uuid4()), + default_factory=lambda: "enzml:Parameter/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Parameter", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1576,9 +1658,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1587,7 +1667,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1616,9 +1699,10 @@ def add_type_term( class Measurement(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: str name: str @@ -1631,20 +1715,20 @@ class Measurement(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Measurement/" + str(uuid4()), + default_factory=lambda: "enzml:Measurement/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Measurement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1652,7 +1736,7 @@ class Measurement(BaseModel): "group_id": { "@type": "@id", }, - }, + } ) def filter_species_data(self, **kwargs) -> list[MeasurementData]: @@ -1667,12 +1751,13 @@ def filter_species_data(self, **kwargs) -> list[MeasurementData]: return FilterWrapper[MeasurementData](self.species_data, **kwargs).filter() + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1694,9 +1779,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1705,7 +1788,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1732,17 +1818,18 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) + def add_to_species_data( self, species_id: str, initial: float, data_unit: UnitDefinition, data_type: DataTypes, - prepared: Optional[float] = None, - data: list[float] = [], - time: list[float] = [], - time_unit: Optional[UnitDefinition] = None, - is_simulated: bool = False, + prepared: Optional[float]= None, + data: list[float]= [], + time: list[float]= [], + time_unit: Optional[UnitDefinition]= None, + is_simulated: bool= False, **kwargs, ): params = { @@ -1754,21 +1841,24 @@ def add_to_species_data( "data": data, "time": time, "time_unit": time_unit, - "is_simulated": is_simulated, + "is_simulated": is_simulated } if "id" in kwargs: params["id"] = kwargs["id"] - self.species_data.append(MeasurementData(**params)) + self.species_data.append( + MeasurementData(**params) + ) return self.species_data[-1] class MeasurementData(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore species_id: str initial: float @@ -1783,32 +1873,33 @@ class MeasurementData(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()), + default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:MeasurementData", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1830,9 +1921,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1841,7 +1930,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1870,9 +1962,10 @@ def add_type_term( class UnitDefinition(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore id: Optional[str] = Field(default=None) name: Optional[str] = Field(default=None) @@ -1881,21 +1974,21 @@ class UnitDefinition(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:UnitDefinition/" + str(uuid4()), + default_factory=lambda: "enzml:UnitDefinition/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:UnitDefinition", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", - }, + "OBO": "http://purl.obolibrary.org/obo/", + } ) def filter_base_units(self, **kwargs) -> list[BaseUnit]: @@ -1910,12 +2003,13 @@ def filter_base_units(self, **kwargs) -> list[BaseUnit]: return FilterWrapper[BaseUnit](self.base_units, **kwargs).filter() + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1937,9 +2031,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1948,7 +2040,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1975,33 +2070,36 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) + def add_to_base_units( self, kind: UnitType, exponent: int, - multiplier: Optional[float] = None, - scale: Optional[float] = None, + multiplier: Optional[float]= None, + scale: Optional[float]= None, **kwargs, ): params = { "kind": kind, "exponent": exponent, "multiplier": multiplier, - "scale": scale, + "scale": scale } if "id" in kwargs: params["id"] = kwargs["id"] - self.base_units.append(BaseUnit(**params)) + self.base_units.append( + BaseUnit(**params) + ) return self.base_units[-1] - class BaseUnit(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assigment = True, + ) # type: ignore kind: UnitType exponent: int @@ -2011,29 +2109,30 @@ class BaseUnit(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:BaseUnit/" + str(uuid4()), + default_factory=lambda: "enzml:BaseUnit/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:BaseUnit", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", - }, + "OBO": "http://purl.obolibrary.org/obo/", + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -2055,9 +2154,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert ( - attr in self.model_fields - ), f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -2066,7 +2163,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -2100,7 +2200,6 @@ class EquationType(Enum): ODE = "ode" RATE_LAW = "rateLaw" - class DataTypes(Enum): ABSORBANCE = "http://purl.allotrope.org/ontologies/quality#AFQ_0000061" CONCENTRATION = "http://purl.obolibrary.org/obo/PATO_0000033" @@ -2109,7 +2208,6 @@ class DataTypes(Enum): PEAK_AREA = "http://purl.allotrope.org/ontologies/result#AFR_0001073" TRANSMITTANCE = "http://purl.allotrope.org/ontologies/result#AFR_0002261" - class UnitType(Enum): AMPERE = "ampere" AVOGADRO = "avogadro" @@ -2144,4 +2242,4 @@ class UnitType(Enum): TESLA = "tesla" VOLT = "volt" WATT = "watt" - WEBER = "weber" + WEBER = "weber" \ No newline at end of file diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index 5c08c418..de3e9b2b 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -211,7 +211,7 @@ def _add_complex(complex_: pe.Complex): species.initDefaults() species.setId(complex_.id) species.setName(complex_.name) - species.setCompartment(model.getCompartment(0).getId()) + species.setCompartment(complex_.vessel_id) species.setConstant(True) species.setSBOTerm("SBO:0000296") # Complex species.appendAnnotation(rdf.to_rdf_xml(complex_)) diff --git a/pyenzyme/sbml/validation.py b/pyenzyme/sbml/validation.py index d3b83612..b651fc44 100644 --- a/pyenzyme/sbml/validation.py +++ b/pyenzyme/sbml/validation.py @@ -35,7 +35,7 @@ def _check_consistent_vessel_ids(doc: pe.EnzymeMLDocument) -> bool: """ vessel_ids = {v.id for v in doc.vessels} - all_species = doc.small_molecules + doc.proteins + all_species = doc.small_molecules + doc.proteins + doc.complexes result = [] for species in all_species: From 5d351a535d1c1daf14ae4159cfbc140dfedcfb67 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sun, 8 Sep 2024 11:56:06 +0200 Subject: [PATCH 069/172] update dev examples --- dev-examples/odes/odes_example_test.xml | 44 ++++++++++++------------- dev-examples/sbml_export_odes.py | 8 ++--- 2 files changed, 26 insertions(+), 26 deletions(-) diff --git a/dev-examples/odes/odes_example_test.xml b/dev-examples/odes/odes_example_test.xml index aac8bbc2..d9768e99 100644 --- a/dev-examples/odes/odes_example_test.xml +++ b/dev-examples/odes/odes_example_test.xml @@ -1,6 +1,6 @@ - + @@ -31,7 +31,7 @@ - + @@ -43,8 +43,8 @@ - - + + @@ -56,7 +56,7 @@ - + @@ -68,7 +68,7 @@ - + @@ -80,15 +80,15 @@ - + - + - + Vessel 1 10.0 @@ -99,10 +99,10 @@ - + - + Enzyme MTEY E.coli @@ -118,10 +118,10 @@ - + - + Enzyme-Substrate Complex @@ -132,31 +132,31 @@ - + - + Substrate QTBSBXVTEAMEQO-UHFFFAOYSA-N - + CC(=O)O - + - + Product QTBSBXVTEAMEQO-UHFFFAOYSA-N - + CC(=O)O @@ -165,7 +165,7 @@ - + @@ -179,7 +179,7 @@ - + @@ -193,7 +193,7 @@ - + diff --git a/dev-examples/sbml_export_odes.py b/dev-examples/sbml_export_odes.py index 22fd094a..1054d281 100644 --- a/dev-examples/sbml_export_odes.py +++ b/dev-examples/sbml_export_odes.py @@ -47,6 +47,7 @@ id="c0", name="Enzyme-Substrate Complex", participants=[enzyme.id, substrate.id], + vessel_id=vessel.id, ) doc.equations += peq.build_equations( @@ -73,14 +74,13 @@ meas.ph = 7.0 rich.print(to_sbml(doc)[0]) + # Write sbml doc to file with open("./dev-examples/odes/odes_example_test.xml", "w") as file: file.write(to_sbml(doc)[0]) -exit() - # Write to omex file -doc.to_sbml("./dev-examples/odes/odes_example.omex") +doc.to_sbml("./tests/fixtures/sbml/odes_example.omex") # Write to EnzymeML JSON file -pe.write_enzymeml(self=doc, path="./dev-examples/odes/enzymeml.json") +pe.write_enzymeml(self=doc, path="./tests/fixtures/sbml/ode_example_enzml.json") From 55eac11f435c78bd46a81e438e2f7926fdcc161c Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sun, 8 Sep 2024 11:56:24 +0200 Subject: [PATCH 070/172] extract compartment for `Complex` --- pyenzyme/sbml/parser.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pyenzyme/sbml/parser.py b/pyenzyme/sbml/parser.py index b000300e..2a18e1f5 100644 --- a/pyenzyme/sbml/parser.py +++ b/pyenzyme/sbml/parser.py @@ -245,6 +245,7 @@ def _parse_complex(species: sbml.Species): complex_ = pe.Complex( id=species.getId(), name=species.getName(), + vessel_id=species.getCompartment(), **annots, ) From f530e1eb5b6d871a94a96caa12f7ff909f1f1b4e Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sun, 8 Sep 2024 11:56:31 +0200 Subject: [PATCH 071/172] update tests --- tests/fixtures/sbml/ode_example_enzml.json | 447 +++++++++++---------- tests/fixtures/sbml/odes_example.omex | Bin 2429 -> 2452 bytes tests/fixtures/sbml/v1_example_enzml.json | 7 + tests/integration/test_sbml.py | 6 + 4 files changed, 239 insertions(+), 221 deletions(-) diff --git a/tests/fixtures/sbml/ode_example_enzml.json b/tests/fixtures/sbml/ode_example_enzml.json index ca2dca0b..05a5ec9e 100644 --- a/tests/fixtures/sbml/ode_example_enzml.json +++ b/tests/fixtures/sbml/ode_example_enzml.json @@ -1,8 +1,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "name": "schema:title", "references": { "@id": "schema:citation", @@ -12,7 +12,7 @@ "modified": "schema:dateModified", "creators": "schema:creator" }, - "@id": "enzml:EnzymeMLDocument/833d46aa-58c7-4d42-b341-43f1fe0fece0", + "@id": "enzml:EnzymeMLDocument/c051b03b-83c2-4671-ac9b-87f0dea9137a", "@type": [ "enzml:EnzymeMLDocument" ], @@ -23,8 +23,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -32,7 +32,7 @@ "name": "schema:name", "volume": "OBO:OBI_0002139" }, - "@id": "enzml:Vessel/abc02182-675a-4fd7-b067-9f376f17b874", + "@id": "enzml:Vessel/a8c3e187-b735-49df-b76a-684916d91c25", "@type": [ "enzml:Vessel", "OBO:OBI_0400081" @@ -43,8 +43,8 @@ "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000098", "@type": [ @@ -56,10 +56,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/7ea9c0d4-dcbb-4e59-94f2-7b1779e35b1b", + "@id": "enzml:BaseUnit/ad727ef5-a949-4b31-b73a-db00c5804be7", "@type": [ "enzml:BaseUnit" ], @@ -76,8 +76,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@type": "@id" }, @@ -96,7 +96,7 @@ "@type": "@id" } }, - "@id": "enzml:Protein/487be0d2-e325-4f0b-857b-3bd8d54c4003", + "@id": "enzml:Protein/e4d6270e-788f-4773-b507-1f85396fa674", "@type": [ "enzml:Protein", "schema:Protein" @@ -116,24 +116,29 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" }, "name": "schema:name", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id" + }, "participants": { "@type": "@id" } }, - "@id": "enzml:Complex/2f52086d-d7a8-4a2d-870b-bd6bafd91504", + "@id": "enzml:Complex/be1a42ec-01ea-4f63-b557-1fde75f57ef7", "@type": [ "enzml:Complex" ], "id": "c0", "name": "Enzyme-Substrate Complex", "constant": false, + "vessel_id": "v0", "participants": [ "p0", "s0" @@ -144,8 +149,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -160,7 +165,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/551e35d3-ae18-490d-b4a7-003fcd28f446", + "@id": "enzml:SmallMolecule/8162f8a5-884e-40b5-9a2a-7f04ace5c21e", "@type": [ "enzml:SmallMolecule" ], @@ -175,8 +180,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -191,7 +196,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/1a93b3f8-ce94-429d-975b-ff6a837b0424", + "@id": "enzml:SmallMolecule/fe089160-e9c5-4862-ba88-1a437f29134f", "@type": [ "enzml:SmallMolecule" ], @@ -209,8 +214,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -219,7 +224,7 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/83db3a41-626e-461b-80d2-9618997c6af3", + "@id": "enzml:Measurement/7766fd7f-cd7d-4ff1-8e83-9527cb45a005", "@type": [ "enzml:Measurement" ], @@ -229,13 +234,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/a1e71511-2b64-40af-a50f-7ede47b45baa", + "@id": "enzml:MeasurementData/b55b4581-9600-425e-b315-19a28e782a26", "@type": [ "enzml:MeasurementData" ], @@ -244,8 +249,8 @@ "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -257,10 +262,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/0a98675d-d6e6-4551-8f2a-90483c57936d", + "@id": "enzml:BaseUnit/41bc70c0-6cd0-49d3-a659-f195b6d8bdf9", "@type": [ "enzml:BaseUnit" ], @@ -271,10 +276,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/335f309c-13e0-4eb8-9765-3945a8683f7f", + "@id": "enzml:BaseUnit/61182f56-73ee-47cd-ac22-4ce7ad6da66a", "@type": [ "enzml:BaseUnit" ], @@ -284,35 +289,6 @@ } ] }, - "time_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "OBO:UO_0000010", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u1", - "name": "s", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/4e3a6a14-ca74-4c8a-b00f-45a3cfea6e11", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "second", - "exponent": 1, - "scale": 1.0 - } - ] - }, "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", "data": [ 0.0, @@ -340,18 +316,47 @@ 9.0, 10.0 ], + "time_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "OBO:UO_0000010", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u1", + "name": "s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/e9698180-23e9-4660-adcc-38dbf74c0ad5", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": 1, + "scale": 1.0 + } + ] + }, "is_simulated": false }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/9de1a9fe-ede0-4e0b-a8cc-84e8dce6cb57", + "@id": "enzml:MeasurementData/715d7d38-843b-42f8-82b7-4a8d086a4fd2", "@type": [ "enzml:MeasurementData" ], @@ -360,8 +365,8 @@ "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -373,10 +378,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/0a98675d-d6e6-4551-8f2a-90483c57936d", + "@id": "enzml:BaseUnit/41bc70c0-6cd0-49d3-a659-f195b6d8bdf9", "@type": [ "enzml:BaseUnit" ], @@ -387,10 +392,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/335f309c-13e0-4eb8-9765-3945a8683f7f", + "@id": "enzml:BaseUnit/61182f56-73ee-47cd-ac22-4ce7ad6da66a", "@type": [ "enzml:BaseUnit" ], @@ -400,35 +405,6 @@ } ] }, - "time_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "OBO:UO_0000010", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u1", - "name": "s", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/4e3a6a14-ca74-4c8a-b00f-45a3cfea6e11", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "second", - "exponent": 1, - "scale": 1.0 - } - ] - }, "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", "data": [ 10.0, @@ -456,6 +432,35 @@ 9.0, 10.0 ], + "time_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "OBO:UO_0000010", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u1", + "name": "s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/e9698180-23e9-4660-adcc-38dbf74c0ad5", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": 1, + "scale": 1.0 + } + ] + }, "is_simulated": false } ], @@ -464,8 +469,8 @@ "temperature_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000012", "@type": [ @@ -477,10 +482,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/31d5028b-2d30-4053-87e7-00b42a40b165", + "@id": "enzml:BaseUnit/d593a318-0adf-4c28-b768-a60643e77209", "@type": [ "enzml:BaseUnit" ], @@ -494,8 +499,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -504,7 +509,7 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/f7603279-9db3-4039-b501-97fee1f05c4b", + "@id": "enzml:Measurement/a5492722-fe9e-42e4-b870-cfa625e58efc", "@type": [ "enzml:Measurement" ], @@ -514,13 +519,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/f8d7f530-1f92-4cd7-b460-54b9cb03678b", + "@id": "enzml:MeasurementData/edd44ccc-1c8d-483b-a731-c9bf71c16fd0", "@type": [ "enzml:MeasurementData" ], @@ -529,8 +534,8 @@ "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -542,10 +547,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/0a98675d-d6e6-4551-8f2a-90483c57936d", + "@id": "enzml:BaseUnit/41bc70c0-6cd0-49d3-a659-f195b6d8bdf9", "@type": [ "enzml:BaseUnit" ], @@ -556,10 +561,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/335f309c-13e0-4eb8-9765-3945a8683f7f", + "@id": "enzml:BaseUnit/61182f56-73ee-47cd-ac22-4ce7ad6da66a", "@type": [ "enzml:BaseUnit" ], @@ -569,35 +574,6 @@ } ] }, - "time_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "OBO:UO_0000010", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u1", - "name": "s", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/4e3a6a14-ca74-4c8a-b00f-45a3cfea6e11", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "second", - "exponent": 1, - "scale": 1.0 - } - ] - }, "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", "data": [ 0.0, @@ -625,18 +601,47 @@ 9.0, 10.0 ], + "time_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "OBO:UO_0000010", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u1", + "name": "s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/e9698180-23e9-4660-adcc-38dbf74c0ad5", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": 1, + "scale": 1.0 + } + ] + }, "is_simulated": false }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/828564ec-ec24-42c2-98b2-115fdc1f2a3c", + "@id": "enzml:MeasurementData/350a22b8-dfad-43d8-b222-ce66d399e683", "@type": [ "enzml:MeasurementData" ], @@ -645,8 +650,8 @@ "data_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -658,10 +663,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/0a98675d-d6e6-4551-8f2a-90483c57936d", + "@id": "enzml:BaseUnit/41bc70c0-6cd0-49d3-a659-f195b6d8bdf9", "@type": [ "enzml:BaseUnit" ], @@ -672,10 +677,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/335f309c-13e0-4eb8-9765-3945a8683f7f", + "@id": "enzml:BaseUnit/61182f56-73ee-47cd-ac22-4ce7ad6da66a", "@type": [ "enzml:BaseUnit" ], @@ -685,35 +690,6 @@ } ] }, - "time_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "OBO:UO_0000010", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u1", - "name": "s", - "base_units": [ - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" - }, - "@id": "enzml:BaseUnit/4e3a6a14-ca74-4c8a-b00f-45a3cfea6e11", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "second", - "exponent": 1, - "scale": 1.0 - } - ] - }, "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", "data": [ 10.0, @@ -741,6 +717,35 @@ 9.0, 10.0 ], + "time_unit": { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "OBO:UO_0000010", + "@type": [ + "OBO:UO_0000000" + ], + "id": "u1", + "name": "s", + "base_units": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" + }, + "@id": "enzml:BaseUnit/e9698180-23e9-4660-adcc-38dbf74c0ad5", + "@type": [ + "enzml:BaseUnit" + ], + "kind": "second", + "exponent": 1, + "scale": 1.0 + } + ] + }, "is_simulated": false } ], @@ -749,8 +754,8 @@ "temperature_unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000012", "@type": [ @@ -762,10 +767,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/31d5028b-2d30-4053-87e7-00b42a40b165", + "@id": "enzml:BaseUnit/d593a318-0adf-4c28-b768-a60643e77209", "@type": [ "enzml:BaseUnit" ], @@ -781,28 +786,28 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id" } }, - "@id": "enzml:Equation/69aec529-07bc-447a-8169-a20dc623c81a", + "@id": "enzml:Equation/99d3756a-898a-4d1f-9da8-0ddf4a78ef19", "@type": [ "enzml:Equation" ], - "equation": "E_tot * kcat * s0 / (K_m + s0)", + "equation": "E_tot*kcat*s0/(K_m + s0)", "equation_type": "ode", "species_id": "s1", "variables": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": "schema:identifier" }, - "@id": "enzml:Variable/b4d171e6-c5ee-416b-859f-6560c5f18b5d", + "@id": "enzml:Variable/2104c1ec-afc6-45c8-be1a-3e384b925cc6", "@type": [ "enzml:Variable" ], @@ -815,13 +820,13 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id" } }, - "@id": "enzml:Equation/e1e66a46-8111-4003-9eeb-f163081c2e96", + "@id": "enzml:Equation/9674a3b0-0f65-4617-abe0-db1dc1ad0a28", "@type": [ "enzml:Equation" ], @@ -835,14 +840,14 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:Parameter/2872b6d6-191f-4bc4-a36a-130eb4534837", + "@id": "enzml:Parameter/b53a61b4-dc01-4756-b196-de11ca49f32e", "@type": [ "enzml:Parameter" ], @@ -852,8 +857,8 @@ "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000010", "@type": [ @@ -865,10 +870,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/4e3a6a14-ca74-4c8a-b00f-45a3cfea6e11", + "@id": "enzml:BaseUnit/e9698180-23e9-4660-adcc-38dbf74c0ad5", "@type": [ "enzml:BaseUnit" ], @@ -886,14 +891,14 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:Parameter/31e315d7-8e87-4ef9-9ca4-1e9e08f2ded7", + "@id": "enzml:Parameter/262c575a-86af-4a68-afae-86d0a2487449", "@type": [ "enzml:Parameter" ], @@ -903,8 +908,8 @@ "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -916,10 +921,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/0a98675d-d6e6-4551-8f2a-90483c57936d", + "@id": "enzml:BaseUnit/41bc70c0-6cd0-49d3-a659-f195b6d8bdf9", "@type": [ "enzml:BaseUnit" ], @@ -930,10 +935,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/335f309c-13e0-4eb8-9765-3945a8683f7f", + "@id": "enzml:BaseUnit/61182f56-73ee-47cd-ac22-4ce7ad6da66a", "@type": [ "enzml:BaseUnit" ], @@ -951,14 +956,14 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:Parameter/d49325e0-8483-469a-9d6d-1bcadac2bb98", + "@id": "enzml:Parameter/288ed9be-7df3-462f-84c1-bbbcc437d7a7", "@type": [ "enzml:Parameter" ], @@ -968,8 +973,8 @@ "unit": { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, "@id": "OBO:UO_0000063", "@type": [ @@ -981,10 +986,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/0a98675d-d6e6-4551-8f2a-90483c57936d", + "@id": "enzml:BaseUnit/41bc70c0-6cd0-49d3-a659-f195b6d8bdf9", "@type": [ "enzml:BaseUnit" ], @@ -995,10 +1000,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/" + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/" }, - "@id": "enzml:BaseUnit/335f309c-13e0-4eb8-9765-3945a8683f7f", + "@id": "enzml:BaseUnit/61182f56-73ee-47cd-ac22-4ce7ad6da66a", "@type": [ "enzml:BaseUnit" ], diff --git a/tests/fixtures/sbml/odes_example.omex b/tests/fixtures/sbml/odes_example.omex index 087704deb80a5f2edbf78637d98194f6b7c3735e..22e08a3380cd065bc53dccec35a2cc6a0d3682d0 100644 GIT binary patch delta 1940 zcmV;F2W$BK5|k4SP)h>@6aWAK2mqp9D6tI)0e_-iC|T?C8e|a%008(a000R9003=o 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a/tests/fixtures/sbml/v1_example_enzml.json +++ b/tests/fixtures/sbml/v1_example_enzml.json @@ -179,6 +179,7 @@ "id": "c0", "name": "E·PGME", "constant": false, + "vessel_id": "v0", "participants": [ "p0", "s0" @@ -205,6 +206,7 @@ "id": "c1", "name": "E·7-ADCA", "constant": false, + "vessel_id": "v0", "participants": [ "p0", "s1" @@ -231,6 +233,7 @@ "id": "c2", "name": "E·PG", "constant": false, + "vessel_id": "v0", "participants": [ "p0", "s3" @@ -257,6 +260,7 @@ "id": "c3", "name": "E·PGME·PGME", "constant": false, + "vessel_id": "v0", "participants": [ "p0", "s0", @@ -284,6 +288,7 @@ "id": "c4", "name": "EA·7-ADCA", "constant": false, + "vessel_id": "v0", "participants": [ "p1", "s1" @@ -310,6 +315,7 @@ "id": "c5", "name": "EA·PGME", "constant": false, + "vessel_id": "v0", "participants": [ "p1", "s0" @@ -336,6 +342,7 @@ "id": "c6", "name": "E·CEX", "constant": false, + "vessel_id": "v0", "participants": [ "p0", "s2" diff --git a/tests/integration/test_sbml.py b/tests/integration/test_sbml.py index 63d91416..c7475196 100644 --- a/tests/integration/test_sbml.py +++ b/tests/integration/test_sbml.py @@ -22,6 +22,11 @@ def test_parse_sbml_odes(self): EnzymeMLDocument.read("tests/fixtures/sbml/ode_example_enzml.json") ) + # Remove spaces of equation + for eq in parsed_doc["equations"]: + eq["equation"] = eq["equation"].replace(" * ", "*") + eq["equation"] = eq["equation"].replace(" / ", "/") + assert ( parsed_doc == expected_doc ), "Parsed document does not match expected document" @@ -88,6 +93,7 @@ def test_end_to_end(self): id="c0", name="Enzyme-Substrate Complex", participants=[enzyme.id, substrate.id], + vessel_id=vessel.id, ) doc.equations += peq.build_equations( From 2c10d5415c654426395f01cafb1c22c0e092626e Mon Sep 17 00:00:00 2001 From: Jan Range Date: Sun, 8 Sep 2024 11:57:52 +0200 Subject: [PATCH 072/172] remove unused import --- pyenzyme/model.py | 1 - 1 file changed, 1 deletion(-) diff --git a/pyenzyme/model.py b/pyenzyme/model.py index 7b056e64..f196a809 100644 --- a/pyenzyme/model.py +++ b/pyenzyme/model.py @@ -5,7 +5,6 @@ from typing import Optional, Generic, TypeVar from enum import Enum from uuid import uuid4 -from datetime import date, datetime # Filter Wrapper definition used to filter a list of objects # based on their attributes From 91b999382cf507978e5882aa9f607233e7c11f82 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Tue, 24 Sep 2024 01:58:56 +0200 Subject: [PATCH 073/172] add suite class --- pyenzyme/__init__.py | 1 + pyenzyme/suite.py | 72 ++++++++++++++++++++++++++++++++++++++++++++ pyproject.toml | 1 + 3 files changed, 74 insertions(+) create mode 100644 pyenzyme/suite.py diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index 298edc2a..6396014a 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -7,6 +7,7 @@ from .model import * # noqa: F403 from .sbml import to_sbml, read_sbml # noqa: F401 +from .suite import EnzymeMLSuite # noqa: F401 from .tabular import to_pandas, read_csv, read_excel, from_dataframe # noqa: F401 __all__ = [ diff --git a/pyenzyme/suite.py b/pyenzyme/suite.py new file mode 100644 index 00000000..c4182d07 --- /dev/null +++ b/pyenzyme/suite.py @@ -0,0 +1,72 @@ +import json + +import httpx +import rich + +import pyenzyme as pe + + +class EnzymeMLSuite: + """ + A suite for interacting with the EnzymeML service. + + Attributes: + client (httpx.Client): The HTTP client for making requests to the EnzymeML service. + """ + + def __init__(self): + """ + Initializes the EnzymeMLSuite with a base URL for the EnzymeML service. + """ + self.client = httpx.Client(base_url="http://localhost:13452") + + def get_current(self) -> pe.EnzymeMLDocument: + """ + Retrieves the current EnzymeML document from the service. + + Returns: + EnzymeMLDocument: The current EnzymeML document. + + Raises: + httpx.HTTPStatusError: If the request to the service fails. + """ + + try: + response = self.client.get("/docs/:current") + except httpx.ConnectError: + raise ConnectionError( + "Could not connect to the EnzymeML suite. Make sure it is running." + ) + + response.raise_for_status() + + content = response.json()["data"]["content"] + + if not isinstance(content["references"], list): + content["references"] = [] + + return pe.EnzymeMLDocument.model_validate(content) + + def update_current(self, doc: pe.EnzymeMLDocument): + """ + Updates the current EnzymeML document on the service. + + Args: + doc (EnzymeMLDocument): The EnzymeML document to update. + + Raises: + httpx.HTTPStatusError: If the request to the service fails. + """ + try: + response = self.client.put( + "/docs/:current", + json=json.loads(doc.model_dump_json()), + ) + except httpx.ConnectError: + raise ConnectionError( + "Could not connect to the EnzymeML suite. Make sure it is running." + ) + + response.raise_for_status() + + rich.print("[bold green]Document updated successfully![/]") diff --git a/pyproject.toml b/pyproject.toml index 1245b092..ba6841cd 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,6 +18,7 @@ loguru = "^0.7.2" rdflib = "7.0.0" sympy = "^1.12.1" pymetadata = "^0.4.4" +httpx = "^0.27.2" [tool.poetry.group.neo4j.dependencies] neo4j = "^5.21.0" From de446b61a05012ae8494b8c11efb6081cc4cc824 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Tue, 24 Sep 2024 12:22:28 +0200 Subject: [PATCH 074/172] fix units not recognized --- pyenzyme/sbml/serializer.py | 15 ++++++++++++++- pyenzyme/tabular.py | 5 ++++- 2 files changed, 18 insertions(+), 2 deletions(-) diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index de3e9b2b..5e440eb2 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -67,7 +67,10 @@ def to_sbml( sbmldoc = libsbml.SBMLDocument() model = sbmldoc.createModel() model.setName(doc.name) - units = _assign_ids_to_units(tools.find_unique(doc, UnitDefinition)) + units = _assign_ids_to_units(tools.find_unique(doc, pe.UnitDefinition)) + + # Add units that have been defined by the custom UnitDefinition + convert_unit_classes(doc, units) print_warnings = verbose @@ -109,6 +112,16 @@ def to_sbml( logger.info(f"OMEX archive written to {out}") +def convert_unit_classes(doc: pe.EnzymeMLDocument, custom_units: list[UnitDefinition]): + custom_units.extend( + [ + pe.UnitDefinition(**unit.model_dump()) + for unit in _assign_ids_to_units(tools.find_unique(doc, pe.UnitDefinition)) + if unit.id not in [unit.id for unit in custom_units] + ] + ) + + def _add_unit_definitions(unit: UnitDefinition): """Add unit definitions to the SBML model.""" diff --git a/pyenzyme/tabular.py b/pyenzyme/tabular.py index 1185dd34..32c1e4e2 100644 --- a/pyenzyme/tabular.py +++ b/pyenzyme/tabular.py @@ -59,7 +59,10 @@ def to_pandas( df["id"] = [meas.id] * len(df) dfs.append(df) - return pd.concat(dfs, ignore_index=True).reset_index(drop=True) + if dfs: + return pd.concat(dfs, ignore_index=True).reset_index(drop=True) + else: + return pd.DataFrame() def read_excel( From 4efc6d12115d6e3e3195e1c2d740585ff9e865e8 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Tue, 24 Sep 2024 13:34:14 +0200 Subject: [PATCH 075/172] Return `None` if `unit` is `None` --- pyenzyme/sbml/serializer.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index 5e440eb2..dd5a5d17 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -438,9 +438,12 @@ def _get_sbml_kind(unit_type: pe.UnitType): raise ValueError(f"Unit type {unit_type} not found in libsbml") -def _get_unit_id(unit: pe.UnitDefinition) -> str: +def _get_unit_id(unit: pe.UnitDefinition) -> str | None: """Helper function to get the unit from the list of units.""" + if unit is None: + return None + if unit.id is None: raise ValueError(f"Unit {unit.name} does not have an ID") From a0282d4643fea3126413b8fe14969d98ce98108e Mon Sep 17 00:00:00 2001 From: Jan Range Date: Tue, 24 Sep 2024 13:45:55 +0200 Subject: [PATCH 076/172] set temp unit and value optional --- pyenzyme/sbml/versions/v2.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyenzyme/sbml/versions/v2.py b/pyenzyme/sbml/versions/v2.py index bd180d4c..ce82bfc3 100644 --- a/pyenzyme/sbml/versions/v2.py +++ b/pyenzyme/sbml/versions/v2.py @@ -308,8 +308,8 @@ class TemperatureAnnot( unit (str): The unit of the temperature value. """ - value: float = attr(name="value") - unit: str = attr(name="unit") + value: float | None = attr(name="value", default=None) + unit: str | None = attr(name="unit", default=None) class ParameterAnnot( From d1fa04eafe7babcacb13ea89aa64e58816ee78b6 Mon Sep 17 00:00:00 2001 From: Jan Range Date: Wed, 25 Sep 2024 13:57:01 +0200 Subject: [PATCH 077/172] fix unit ids not retrieved corectly --- pyenzyme/sbml/serializer.py | 23 +++++++++++++++++++---- pyenzyme/sbml/versions/v2.py | 4 ++-- pyenzyme/tabular.py | 16 +++++++++++++--- 3 files changed, 34 insertions(+), 9 deletions(-) diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index dd5a5d17..dd56d764 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -4,6 +4,7 @@ from pathlib import Path from typing import Callable, List +import rich import libsbml import pandas as pd from loguru import logger @@ -18,6 +19,7 @@ from pyenzyme.sbml.versions import v2 from pyenzyme.tabular import to_pandas from pyenzyme.units.units import UnitDefinition +from pyenzyme.tools import to_dict_wo_json_ld MAPPINGS = tools.read_static_file("pyenzyme.sbml", "mappings.toml") NSMAP = {"enzymeml": "https://www.enzymeml.org/v2"} @@ -438,20 +440,33 @@ def _get_sbml_kind(unit_type: pe.UnitType): raise ValueError(f"Unit type {unit_type} not found in libsbml") -def _get_unit_id(unit: pe.UnitDefinition) -> str | None: +def _get_unit_id(unit: pe.UnitDefinition | None) -> str | None: """Helper function to get the unit from the list of units.""" if unit is None: return None - if unit.id is None: - raise ValueError(f"Unit {unit.name} does not have an ID") + for unit2 in units: + if _same_unit(unit, unit2): + return unit2.id - return unit.id + raise ValueError(f"Unit {unit.name} not found in the list of units") + +def _same_unit(unit1: pe.UnitDefinition, unit2: pe.UnitDefinition) -> bool: + """Check if two units are the same.""" + + unit1 = to_dict_wo_json_ld(unit1) + unit2 = to_dict_wo_json_ld(unit2) + + del unit1["id"] + del unit2["id"] + + return unit1 == unit2 def _validate_sbml(sbmldoc: libsbml.SBMLDocument) -> None: """Validate the SBML document using the libSBML function.""" + sbml_errors = sbmldoc.checkConsistency() valid = True diff --git a/pyenzyme/sbml/versions/v2.py b/pyenzyme/sbml/versions/v2.py index ce82bfc3..db71ee15 100644 --- a/pyenzyme/sbml/versions/v2.py +++ b/pyenzyme/sbml/versions/v2.py @@ -179,7 +179,7 @@ class MeasurementAnnot( id: str = attr(name="id") name: str | None = attr(name="name", default=None) - time_unit: str = attr(name="timeUnit") + time_unit: str | None = attr(name="timeUnit") conditions: ConditionsAnnot | None = element(tag="conditions", default=None) species_data: list[SpeciesDataAnnot] = element( tag="speciesData", @@ -291,7 +291,7 @@ class PHAnnot( value (float): The pH value. """ - value: float = attr(name="value") + value: float | None = attr(name="value") class TemperatureAnnot( diff --git a/pyenzyme/tabular.py b/pyenzyme/tabular.py index 32c1e4e2..1c5ad193 100644 --- a/pyenzyme/tabular.py +++ b/pyenzyme/tabular.py @@ -16,7 +16,7 @@ def to_pandas( enzmldoc: EnzymeMLDocument, ignore: list[str] | None = None, -) -> pd.DataFrame: +) -> pd.DataFrame | None: """This function converts an EnzymeMLDocument object to a pandas DataFrame. The resulting DataFrame contains the following columns: @@ -38,6 +38,9 @@ def to_pandas( ValueError: If the measurement does not contain species data. """ + if not enzmldoc.measurements: + return None + if ignore is None: ignore = [] @@ -305,11 +308,17 @@ def _measurement_to_pandas(measurement: Measurement) -> pd.DataFrame: _validate_measurement(measurement) - data = {"time": measurement.species_data[0].time} + data = {"time": _get_time_array(measurement)} for species in measurement.species_data: - data[species.species_id] = species.data + if len(species.data) > 0: + data[species.species_id] = species.data + return pd.DataFrame(data) +def _get_time_array(measurement: Measurement): + for meas_data in measurement.species_data: + if len(meas_data.time) > 0: + return meas_data.time def _validate_measurement(meas: Measurement) -> None: """Validates a Measurement object""" @@ -321,6 +330,7 @@ def _validate_measurement(meas: Measurement) -> None: { species.species_id + "_time": species.time for species in meas.species_data + if len(species.time) > 0 } ) except ValueError: From 7e414926c2354bf223fed0bb38e8f511969e72ef Mon Sep 17 00:00:00 2001 From: Jan Range Date: Wed, 25 Sep 2024 20:11:19 +0200 Subject: [PATCH 078/172] fix unit ids and remove validation error --- pyenzyme/sbml/serializer.py | 19 +++++++++++-------- 1 file changed, 11 insertions(+), 8 deletions(-) diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index dd56d764..282a4332 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -4,7 +4,6 @@ from pathlib import Path from typing import Callable, List -import rich import libsbml import pandas as pd from loguru import logger @@ -18,8 +17,8 @@ from pyenzyme.sbml.validation import validate_sbml_export from pyenzyme.sbml.versions import v2 from pyenzyme.tabular import to_pandas -from pyenzyme.units.units import UnitDefinition from pyenzyme.tools import to_dict_wo_json_ld +from pyenzyme.units.units import UnitDefinition MAPPINGS = tools.read_static_file("pyenzyme.sbml", "mappings.toml") NSMAP = {"enzymeml": "https://www.enzymeml.org/v2"} @@ -156,7 +155,7 @@ def _add_vessel(vessel: pe.Vessel): compartment.setSize(vessel.volume) compartment.setAnnotation(rdf.to_rdf_xml(vessel)) - if vessel.unit in units: + if vessel.unit: compartment.setUnits(_get_unit_id(vessel.unit)) model.setVolumeUnits(_get_unit_id(vessel.unit)) else: @@ -450,9 +449,9 @@ def _get_unit_id(unit: pe.UnitDefinition | None) -> str | None: if _same_unit(unit, unit2): return unit2.id - raise ValueError(f"Unit {unit.name} not found in the list of units") + def _same_unit(unit1: pe.UnitDefinition, unit2: pe.UnitDefinition) -> bool: """Check if two units are the same.""" @@ -464,6 +463,7 @@ def _same_unit(unit1: pe.UnitDefinition, unit2: pe.UnitDefinition) -> bool: return unit1 == unit2 + def _validate_sbml(sbmldoc: libsbml.SBMLDocument) -> None: """Validate the SBML document using the libSBML function.""" @@ -488,19 +488,22 @@ def _validate_sbml(sbmldoc: libsbml.SBMLDocument) -> None: sbmldoc.getError(error).getMessage().strip().replace("\n", " ") ) - if not valid: - raise ValueError("SBML model is not valid") - def _assign_ids_to_units(doc_units: List[UnitDefinition]) -> List[UnitDefinition]: ids = [unit.id for unit in doc_units if unit.id] + unique_units = [] for unit in doc_units: + if any(_same_unit(unit, u) for u in unique_units): + continue + if unit.id is None: new_id = next(_id_generator(ids)) unit.id = new_id - return doc_units + unique_units.append(unit) + + return unique_units def _id_generator(ids: list[str]): From ccf56c4e25bd2574134d61041baf44b7d08a6ce1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Max=20H=C3=A4u=C3=9Fler?= Date: Wed, 18 Dec 2024 16:27:38 +0100 Subject: [PATCH 079/172] Update pyproject.toml loosened httpx version dependency --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index ba6841cd..00d2b39c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,7 +18,7 @@ loguru = "^0.7.2" rdflib = "7.0.0" sympy = "^1.12.1" pymetadata = "^0.4.4" -httpx = "^0.27.2" +httpx = ">=0.27" [tool.poetry.group.neo4j.dependencies] neo4j = "^5.21.0" From c2867839800e46a99905bfe02459cfa09238eb21 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Max=20H=C3=A4u=C3=9Fler?= Date: Thu, 19 Dec 2024 11:35:29 +0100 Subject: [PATCH 080/172] Update pyproject.toml included pandas==2.2.2 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 00d2b39c..a5c5f560 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,7 +12,7 @@ python = "^3.10" python-libsbml = "^5.20.2" toml = "^0.10.2" rich = "^13.7.1" -pandas = ">=2.0,<2.2.2" +pandas = ">=2.0,<=2.2.2" pydantic-xml = "^2.12.1" loguru = "^0.7.2" rdflib = "7.0.0" From c27bb23e36eb5e4ec7dd5731f19306972cc5fe6e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Max=20H=C3=A4u=C3=9Fler?= Date: Fri, 7 Feb 2025 20:45:38 +0100 Subject: [PATCH 081/172] Update pyproject.toml --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index a5c5f560..5d5fa0c6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,7 +12,7 @@ python = "^3.10" python-libsbml = "^5.20.2" toml = "^0.10.2" rich = "^13.7.1" -pandas = ">=2.0,<=2.2.2" +pandas = ">=2.0.0" pydantic-xml = "^2.12.1" loguru = "^0.7.2" rdflib = "7.0.0" From 766ab6c2100758be5d085d0124b728810653512f Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Tue, 4 Mar 2025 12:54:55 +0100 Subject: [PATCH 082/172] Fix 313 enum variants (#73) * fixes python `3.13` enum variants * run tests for `3.13` as well * fix ruff issue * explicitly use `member` on 3.13 --- .github/workflows/unit-tests.yaml | 2 +- pyenzyme/sbml/serializer.py | 2 -- pyenzyme/units/units.py | 18 ++++++++++++++---- 3 files changed, 15 insertions(+), 7 deletions(-) diff --git a/.github/workflows/unit-tests.yaml b/.github/workflows/unit-tests.yaml index 7cfb984d..7a5a729a 100644 --- a/.github/workflows/unit-tests.yaml +++ b/.github/workflows/unit-tests.yaml @@ -8,7 +8,7 @@ jobs: strategy: max-parallel: 4 matrix: - python-version: ["3.10", "3.11", "3.12"] + python-version: ['3.10', '3.11', '3.12', '3.13'] steps: - name: Checkout diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index 282a4332..617939ab 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -468,7 +468,6 @@ def _validate_sbml(sbmldoc: libsbml.SBMLDocument) -> None: """Validate the SBML document using the libSBML function.""" sbml_errors = sbmldoc.checkConsistency() - valid = True if sbml_errors and not print_warnings: logger.warning( @@ -479,7 +478,6 @@ def _validate_sbml(sbmldoc: libsbml.SBMLDocument) -> None: severity = sbmldoc.getError(error).getSeverity() if severity == libsbml.LIBSBML_SEV_ERROR: - valid = False logger.error( sbmldoc.getError(error).getMessage().strip().replace("\n", " ") ) diff --git a/pyenzyme/units/units.py b/pyenzyme/units/units.py index 51645a85..087122ec 100644 --- a/pyenzyme/units/units.py +++ b/pyenzyme/units/units.py @@ -1,6 +1,7 @@ from copy import deepcopy from enum import Enum from functools import partial +import sys from pydantic import model_validator @@ -49,10 +50,18 @@ def set_scale(unit: _BaseUnit, scale: int) -> _BaseUnit: class Prefix(Enum): """Enumeration for unit prefixes with corresponding scales.""" - k = partial(set_scale, scale=3.0) - m = partial(set_scale, scale=-3.0) - u = partial(set_scale, scale=-6.0) - n = partial(set_scale, scale=-9.0) + if sys.version_info >= (3, 13): + from enum import member + + k = member(partial(set_scale, scale=3)) + m = member(partial(set_scale, scale=-3)) + u = member(partial(set_scale, scale=-6)) + n = member(partial(set_scale, scale=-9)) + else: + k = partial(set_scale, scale=3) + m = partial(set_scale, scale=-3) + u = partial(set_scale, scale=-6) + n = partial(set_scale, scale=-9) def __mul__(self, other: _BaseUnit) -> _BaseUnit: """Multiply prefix with a BaseUnit. @@ -68,6 +77,7 @@ def __mul__(self, other: _BaseUnit) -> _BaseUnit: Raises: TypeError: If the other operand is not a BaseUnit. """ + print(self.value) if isinstance(other, _BaseUnit): return self.value(other) From 6d9a62beec81cc25dcd161118045b0303bc9d668 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Tue, 6 May 2025 13:32:06 +0200 Subject: [PATCH 083/172] update sbml integration --- pyenzyme/sbml/utils.py | 12 ++++++++++ pyenzyme/sbml/validation.py | 2 +- pyenzyme/sbml/versions/v1.py | 29 ++++++++++++++++------- pyenzyme/sbml/versions/v2.py | 46 ++++++++++++++++++++++++++++-------- 4 files changed, 69 insertions(+), 20 deletions(-) create mode 100644 pyenzyme/sbml/utils.py diff --git a/pyenzyme/sbml/utils.py b/pyenzyme/sbml/utils.py new file mode 100644 index 00000000..49b832ab --- /dev/null +++ b/pyenzyme/sbml/utils.py @@ -0,0 +1,12 @@ +import pyenzyme as pe + + +def _get_unit(unit_id: str, units: dict[str, pe.UnitDefinition]) -> str | None: + """ + Get the unit from an EnzymeML unit definition. + """ + + if unit_id not in units: + return None + + return units[unit_id].model_dump_json() diff --git a/pyenzyme/sbml/validation.py b/pyenzyme/sbml/validation.py index b651fc44..7df62781 100644 --- a/pyenzyme/sbml/validation.py +++ b/pyenzyme/sbml/validation.py @@ -1,6 +1,6 @@ from loguru import logger -import pyenzyme.model as pe +import pyenzyme as pe import pyenzyme.tools as tools diff --git a/pyenzyme/sbml/versions/v1.py b/pyenzyme/sbml/versions/v1.py index 9ed7c96d..7816ba28 100644 --- a/pyenzyme/sbml/versions/v1.py +++ b/pyenzyme/sbml/versions/v1.py @@ -5,6 +5,7 @@ from pydantic_xml import element, BaseXmlModel, attr, wrapped from pyenzyme import Measurement, UnitDefinition, DataTypes +from pyenzyme.sbml.utils import _get_unit from pyenzyme.sbml.versions.v2 import VariableAnnot @@ -53,6 +54,7 @@ class V1Annotation( class ParameterAnnot( BaseXmlModel, tag="parameter", + search_mode="unordered", nsmap={"": "https://www.enzymeml.org/v2"}, ): """ @@ -190,7 +192,7 @@ def to_measurements( for init_conc in meas_v1.init_concs: measurement.add_to_species_data( - data_unit=units[init_conc.unit], + data_unit=_get_unit(init_conc.unit, units), species_id=init_conc.species_id, initial=init_conc.value, data_type=DataTypes.CONCENTRATION, @@ -200,7 +202,12 @@ def to_measurements( file = next(f for f in self.files if f.id == meas_v1.file) file_format = next(f for f in self.formats if f.id == file.format) - self._map_columns(file_map[meas_v1.file], file_format, measurement, units) + self._map_columns( + file_map[meas_v1.file], + file_format, + measurement, + units, + ) for species_data in measurement.species_data: if not species_data.data: @@ -228,7 +235,7 @@ def _map_columns( """ for col in file_format.columns: - unit = units[col.unit] + unit = _get_unit(col.unit, units) values = df.iloc[:, col.index].values.tolist() if col.type == "time": @@ -257,11 +264,15 @@ def _map_species_values( assert len(species_data) == 1, f"Species data not found for {col.species_id}" species_data = species_data[0] - species_data.data_unit = unit + species_data.data_unit = unit # type: ignore species_data.data = values @staticmethod - def _map_time_values(measurement, unit, values): + def _map_time_values( + measurement: Measurement, + unit: str, + values: list[float], + ): """ Maps time values to the measurement. @@ -273,7 +284,7 @@ def _map_time_values(measurement, unit, values): # Map time to all species data for species_data in measurement.species_data: species_data.time = values - species_data.time_unit = unit + species_data.time_unit = unit # type: ignore class FormatAnnot( @@ -374,9 +385,9 @@ def species_id(self) -> str: Returns: str: The species ID. """ - assert bool(self.protein) != bool( - self.reactant - ), "Either protein or reactant must be set" + assert bool(self.protein) != bool(self.reactant), ( + "Either protein or reactant must be set" + ) return self.protein or self.reactant diff --git a/pyenzyme/sbml/versions/v2.py b/pyenzyme/sbml/versions/v2.py index db71ee15..e01c9129 100644 --- a/pyenzyme/sbml/versions/v2.py +++ b/pyenzyme/sbml/versions/v2.py @@ -8,8 +8,10 @@ import pandas as pd from pydantic import field_validator from pydantic_xml import element, attr, BaseXmlModel +import rich -from pyenzyme import UnitDefinition, DataTypes, Measurement +from pyenzyme import DataTypes, Measurement, UnitDefinition +from pyenzyme.sbml.utils import _get_unit class BaseAnnot(BaseXmlModel): @@ -192,12 +194,35 @@ def to_measurement( units: dict[str, UnitDefinition], ): df_sub = meas_data[meas_data.id == self.id] + + # Extract conditions data + ph = None + temperature = None + temperature_unit = None + + # Python ☕️ Love it... + if self.conditions: + if self.conditions.ph: + ph = self.conditions.ph.value + + if self.conditions.temperature: + temperature = self.conditions.temperature.value + if self.conditions.temperature.unit: + temperature_unit = _get_unit( + self.conditions.temperature.unit, units + ) + + if not self.name: + name = self.id + else: + name = self.name + measurement = Measurement( id=self.id, - name=self.name, - temperature=self.conditions.temperature.value, - temperature_unit=units.get(self.conditions.temperature.unit), - ph=self.conditions.ph.value, + name=name, + temperature=temperature, + temperature_unit=temperature_unit, + ph=ph, ) if df_sub.empty: @@ -219,13 +244,14 @@ def _map_species_data( data = df_sub[species.species_id].to_list() time = df_sub["time"].to_list() else: - data, time = None, None + data, time = [], [] + measurement.add_to_species_data( data=data, time=time, species_id=species.species_id, - data_unit=units[species.unit], - time_unit=units[self.time_unit], + data_unit=_get_unit(species.unit, units), + time_unit=_get_unit(self.time_unit, units), initial=species.initial, data_type=self._map_data_type(species.type), ) @@ -327,8 +353,8 @@ class ParameterAnnot( stderr (float | None): The standard deviation of the parameter. """ - lower: float | None = element(tag="lowerBound", default=None) - upper: float | None = element(tag="upperBound", default=None) + lower_bound: float | None = element(tag="lowerBound", default=None) + upper_bound: float | None = element(tag="upperBound", default=None) stderr: float | None = element(tag="stdDeviation", default=None) From 350f11d3d3bd9111a6284352dcda4285a8ae9dab Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Tue, 6 May 2025 13:32:15 +0200 Subject: [PATCH 084/172] update sbml integration --- pyenzyme/sbml/parser.py | 30 +++++++++++++++++------------- pyenzyme/sbml/serializer.py | 24 ++++++++---------------- 2 files changed, 25 insertions(+), 29 deletions(-) diff --git a/pyenzyme/sbml/parser.py b/pyenzyme/sbml/parser.py index 2a18e1f5..63726405 100644 --- a/pyenzyme/sbml/parser.py +++ b/pyenzyme/sbml/parser.py @@ -7,14 +7,18 @@ import libsbml as sbml # type: ignore import pandas as pd -from loguru import logger # type: ignore +from loguru import logger +import rich # type: ignore import pyenzyme as pe + from pyenzyme import xmlutils from pyenzyme.logging import add_logger + from . import read_sbml_omex from .ldutils import parse_sbml_rdf_annotation from .versions.handler import VersionHandler, SupportedVersions +from .utils import _get_unit def read_sbml(cls, path: Path | str): @@ -64,7 +68,9 @@ def read_sbml(cls, path: Path | str): enzmldoc.vessels = [_parse_vessel(comp) for comp in model.getListOfCompartments()] # Extract equations and parameters - enzmldoc.parameters = [_parse_parameter(param) for param in model.getListOfParameters()] # type: ignore + enzmldoc.parameters = [ + _parse_parameter(param) for param in model.getListOfParameters() + ] # type: ignore enzmldoc.equations += [ _parse_equation(rule, pe.EquationType.INITIAL_ASSIGNMENT) for rule in model.getListOfInitialAssignments() @@ -128,20 +134,16 @@ def _parse_unit(unit: sbml.UnitDefinition): An EnzymeML unit definition. """ enzml_unit = pe.UnitDefinition( - id=unit.getId(), + id=unit.getName(), name=unit.getName(), ) - parse_sbml_rdf_annotation(unit, enzml_unit) - for base_unit in unit.getListOfUnits(): multiplier = base_unit.getMultiplier() kind = sbml.UnitKind_toString(base_unit.getKind()) if math.isnan(multiplier): multiplier = None - elif multiplier == 1.0: - multiplier = None enzml_unit.add_to_base_units( kind=kind, @@ -261,14 +263,14 @@ def _parse_vessel(compartment: sbml.Compartment): Args: compartment (sbml.Compartment): The SBML compartment. - Returns: - An EnzymeML vessel. + Ret + print(units[compartment.getUnits()]) """ vessel = pe.Vessel( id=compartment.getId(), name=compartment.getName(), - volume=_check_nan(compartment.getSize()), - unit=units[compartment.getUnits()], # type: ignore + volume=_check_nan(compartment.getSize()), # type: ignore + unit=_get_unit(compartment.getUnits(), units), # type: ignore ) parse_sbml_rdf_annotation(compartment, vessel) @@ -286,6 +288,7 @@ def _parse_parameter(parameter: sbml.Parameter): Returns: An EnzymeML parameter. """ + print("PARAMETER", parameter.getAnnotationString()) parsed = version.parse_annotation(annotation=parameter.getAnnotationString()) annots = version.extract(parsed, "parameter") @@ -295,7 +298,7 @@ def _parse_parameter(parameter: sbml.Parameter): symbol=parameter.getId(), value=_check_nan(parameter.getValue()), constant=parameter.getConstant(), - unit=units.get(parameter.getUnits()), # type: ignore + unit=_get_unit(parameter.getUnits(), units), # type: ignore **annots, ) @@ -325,7 +328,7 @@ def _parse_equation(rule: sbml.Rule, rule_type: pe.EquationType): species_id = rule.getVariable() case pe.EquationType.RATE_LAW: equation = rule.getFormula() - species_id = None + species_id = "v" case _: raise ValueError(f"Unknown rule type: {rule_type}") @@ -442,6 +445,7 @@ def _parse_measurements( Raises: ValueError: If the version is unknown. """ + match version.version: case SupportedVersions.VERSION1: parsed = version.parse_annotation(list_of_reactions.getAnnotationString()) diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index 617939ab..fab41d40 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -1,5 +1,6 @@ from __future__ import annotations +from copy import deepcopy import xml.etree.ElementTree as ET from pathlib import Path from typing import Callable, List @@ -8,7 +9,7 @@ import pandas as pd from loguru import logger -import pyenzyme.model as pe +import pyenzyme as pe import pyenzyme.tools as tools from pyenzyme import rdf from pyenzyme import xmlutils as _xml @@ -17,7 +18,6 @@ from pyenzyme.sbml.validation import validate_sbml_export from pyenzyme.sbml.versions import v2 from pyenzyme.tabular import to_pandas -from pyenzyme.tools import to_dict_wo_json_ld from pyenzyme.units.units import UnitDefinition MAPPINGS = tools.read_static_file("pyenzyme.sbml", "mappings.toml") @@ -64,7 +64,7 @@ def to_sbml( global model global doc - doc = enzmldoc + doc = deepcopy(enzmldoc) sbmldoc = libsbml.SBMLDocument() model = sbmldoc.createModel() model.setName(doc.name) @@ -130,7 +130,6 @@ def _add_unit_definitions(unit: UnitDefinition): sbml_unitdef.setId(unit.id) sbml_unitdef.setName(unit.name) - sbml_unitdef.setAnnotation(rdf.to_rdf_xml(unit)) for base_unit in unit.base_units: sbml_unit = sbml_unitdef.createUnit() @@ -333,8 +332,8 @@ def _add_parameter(parameter: pe.Parameter): sbml_param.setUnits(_get_unit_id(parameter.unit)) annot = v2.ParameterAnnot( - lower=parameter.lower, - upper=parameter.upper, + lower_bound=parameter.lower_bound, + upper_bound=parameter.upper_bound, stderr=parameter.stderr, ) @@ -455,13 +454,7 @@ def _get_unit_id(unit: pe.UnitDefinition | None) -> str | None: def _same_unit(unit1: pe.UnitDefinition, unit2: pe.UnitDefinition) -> bool: """Check if two units are the same.""" - unit1 = to_dict_wo_json_ld(unit1) - unit2 = to_dict_wo_json_ld(unit2) - - del unit1["id"] - del unit2["id"] - - return unit1 == unit2 + return unit1.model_dump(exclude={"id"}) == unit2.model_dump(exclude={"id"}) def _validate_sbml(sbmldoc: libsbml.SBMLDocument) -> None: @@ -495,9 +488,8 @@ def _assign_ids_to_units(doc_units: List[UnitDefinition]) -> List[UnitDefinition if any(_same_unit(unit, u) for u in unique_units): continue - if unit.id is None: - new_id = next(_id_generator(ids)) - unit.id = new_id + new_id = next(_id_generator(ids)) + unit.id = new_id unique_units.append(unit) From 0c8698a7af11e9fc29d73624f958ac4a8a8e059c Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Tue, 6 May 2025 13:32:41 +0200 Subject: [PATCH 085/172] update tests --- tests/fixtures/sbml/ode_example_enzml.json | 528 +-- tests/fixtures/sbml/odes_example.omex | Bin 2452 -> 2408 bytes tests/fixtures/sbml/v1_example_enzml.json | 2997 ++++------------- tests/fixtures/tabular/measurement_valid.json | 10 +- tests/integration/test_sbml.py | 47 +- tests/unit/test_equations.py | 110 +- tests/unit/test_sbml_annot_v1.py | 21 +- tests/unit/test_sbml_annot_v2.py | 34 +- tests/unit/test_tabular.py | 120 +- 9 files changed, 927 insertions(+), 2940 deletions(-) diff --git a/tests/fixtures/sbml/ode_example_enzml.json b/tests/fixtures/sbml/ode_example_enzml.json index 05a5ec9e..5c242e1c 100644 --- a/tests/fixtures/sbml/ode_example_enzml.json +++ b/tests/fixtures/sbml/ode_example_enzml.json @@ -1,30 +1,29 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "name": "schema:title", + "created": "schema:dateCreated", + "modified": "schema:dateModified", + "creators": "schema:creator", "references": { "@id": "schema:citation", "@type": "@id" - }, - "created": "schema:dateCreated", - "modified": "schema:dateModified", - "creators": "schema:creator" + } }, - "@id": "enzml:EnzymeMLDocument/c051b03b-83c2-4671-ac9b-87f0dea9137a", + "@id": "enzml:EnzymeMLDocument/1a704a60-950e-4fd8-9f5a-ef0a9d8c28b6", "@type": [ "enzml:EnzymeMLDocument" ], "name": "Test", - "references": [], "creators": [], "vessels": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -32,7 +31,7 @@ "name": "schema:name", "volume": "OBO:OBI_0002139" }, - "@id": "enzml:Vessel/a8c3e187-b735-49df-b76a-684916d91c25", + "@id": "enzml:Vessel/03ec3ab7-6220-4bfb-924f-05e4a4eae821", "@type": [ "enzml:Vessel", "OBO:OBI_0400081" @@ -41,30 +40,13 @@ "name": "Vessel 1", "volume": 10.0, "unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000098", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u0", + "id": "u5", "name": "ml", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/ad727ef5-a949-4b31-b73a-db00c5804be7", - "@type": [ - "enzml:BaseUnit" - ], "kind": "litre", "exponent": 1, + "multiplier": 1.0, "scale": -3.0 } ] @@ -76,9 +58,10 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { + "@id": "schema:identifier", "@type": "@id" }, "name": "schema:name", @@ -96,14 +79,14 @@ "@type": "@id" } }, - "@id": "enzml:Protein/e4d6270e-788f-4773-b507-1f85396fa674", + "@id": "enzml:Protein/f753a055-ecc5-4de8-bf37-2950f8c8c777", "@type": [ "enzml:Protein", "schema:Protein" ], "id": "p0", "name": "Enzyme", - "constant": false, + "constant": true, "sequence": "MTEY", "vessel_id": "v0", "ecnumber": "1.1.1.1", @@ -116,8 +99,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -131,7 +114,7 @@ "@type": "@id" } }, - "@id": "enzml:Complex/be1a42ec-01ea-4f63-b557-1fde75f57ef7", + "@id": "enzml:Complex/03d6a454-f53e-4c0b-9b3a-37e72a2c28a4", "@type": [ "enzml:Complex" ], @@ -149,8 +132,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -165,7 +148,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/8162f8a5-884e-40b5-9a2a-7f04ace5c21e", + "@id": "enzml:SmallMolecule/65b0cb5d-795b-4f59-98dc-cbd9c079af58", "@type": [ "enzml:SmallMolecule" ], @@ -180,8 +163,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -196,7 +179,7 @@ "@type": "@id" } }, - "@id": "enzml:SmallMolecule/fe089160-e9c5-4862-ba88-1a437f29134f", + "@id": "enzml:SmallMolecule/e4983101-4406-4fd3-bad7-c6b38c4c4ee4", "@type": [ "enzml:SmallMolecule" ], @@ -214,8 +197,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -224,7 +207,7 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/7766fd7f-cd7d-4ff1-8e83-9527cb45a005", + "@id": "enzml:Measurement/1fc5042e-31a3-41a7-b1c4-b97749385d44", "@type": [ "enzml:Measurement" ], @@ -234,62 +217,37 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/b55b4581-9600-425e-b315-19a28e782a26", + "@id": "enzml:MeasurementData/586efe41-251a-4ee8-9d2d-c1700882bf76", "@type": [ "enzml:MeasurementData" ], "species_id": "s0", "initial": 0.0, "data_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000063", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u2", + "id": "u6", "name": "mmol / l", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/41bc70c0-6cd0-49d3-a659-f195b6d8bdf9", - "@type": [ - "enzml:BaseUnit" - ], "kind": "mole", "exponent": 1, + "multiplier": 1.0, "scale": -3.0 }, { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/61182f56-73ee-47cd-ac22-4ce7ad6da66a", - "@type": [ - "enzml:BaseUnit" - ], "kind": "litre", "exponent": -1, - "scale": 1.0 + "multiplier": 1.0, + "scale": 0.0 } ] }, - "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", + "data_type": "concentration", "data": [ 0.0, 1.0, @@ -317,31 +275,14 @@ 10.0 ], "time_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000010", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u1", + "id": "u7", "name": "s", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/e9698180-23e9-4660-adcc-38dbf74c0ad5", - "@type": [ - "enzml:BaseUnit" - ], "kind": "second", "exponent": 1, - "scale": 1.0 + "multiplier": 1.0, + "scale": 0.0 } ] }, @@ -350,62 +291,37 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/715d7d38-843b-42f8-82b7-4a8d086a4fd2", + "@id": "enzml:MeasurementData/b9313730-e1a5-42b3-b7d3-f2b8fb3cfe15", "@type": [ "enzml:MeasurementData" ], "species_id": "s1", "initial": 10.0, "data_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000063", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u2", + "id": "mmol / l", "name": "mmol / l", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/41bc70c0-6cd0-49d3-a659-f195b6d8bdf9", - "@type": [ - "enzml:BaseUnit" - ], "kind": "mole", "exponent": 1, + "multiplier": 1.0, "scale": -3.0 }, { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/61182f56-73ee-47cd-ac22-4ce7ad6da66a", - "@type": [ - "enzml:BaseUnit" - ], "kind": "litre", "exponent": -1, - "scale": 1.0 + "multiplier": 1.0, + "scale": 0.0 } ] }, - "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", + "data_type": "concentration", "data": [ 10.0, 9.0, @@ -433,31 +349,14 @@ 10.0 ], "time_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000010", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u1", + "id": "s", "name": "s", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/e9698180-23e9-4660-adcc-38dbf74c0ad5", - "@type": [ - "enzml:BaseUnit" - ], "kind": "second", "exponent": 1, - "scale": 1.0 + "multiplier": 1.0, + "scale": 0.0 } ] }, @@ -467,31 +366,14 @@ "ph": 7.0, "temperature": 298.15, "temperature_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000012", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u3", + "id": "u8", "name": "K", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/d593a318-0adf-4c28-b768-a60643e77209", - "@type": [ - "enzml:BaseUnit" - ], "kind": "kelvin", "exponent": 1, - "scale": 1.0 + "multiplier": 1.0, + "scale": 0.0 } ] } @@ -499,8 +381,8 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" @@ -509,7 +391,7 @@ "@type": "@id" } }, - "@id": "enzml:Measurement/a5492722-fe9e-42e4-b870-cfa625e58efc", + "@id": "enzml:Measurement/b2e83434-8f96-4d83-b7b0-9024b20b6680", "@type": [ "enzml:Measurement" ], @@ -519,62 +401,37 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/edd44ccc-1c8d-483b-a731-c9bf71c16fd0", + "@id": "enzml:MeasurementData/2a05f1b5-9848-4aaf-a26d-a135b27ff1a5", "@type": [ "enzml:MeasurementData" ], "species_id": "s0", "initial": 0.0, "data_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000063", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u2", + "id": "mmol / l", "name": "mmol / l", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/41bc70c0-6cd0-49d3-a659-f195b6d8bdf9", - "@type": [ - "enzml:BaseUnit" - ], "kind": "mole", "exponent": 1, + "multiplier": 1.0, "scale": -3.0 }, { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/61182f56-73ee-47cd-ac22-4ce7ad6da66a", - "@type": [ - "enzml:BaseUnit" - ], "kind": "litre", "exponent": -1, - "scale": 1.0 + "multiplier": 1.0, + "scale": 0.0 } ] }, - "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", + "data_type": "concentration", "data": [ 0.0, 1.0, @@ -602,31 +459,14 @@ 10.0 ], "time_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000010", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u1", + "id": "s", "name": "s", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/e9698180-23e9-4660-adcc-38dbf74c0ad5", - "@type": [ - "enzml:BaseUnit" - ], "kind": "second", "exponent": 1, - "scale": 1.0 + "multiplier": 1.0, + "scale": 0.0 } ] }, @@ -635,62 +475,37 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id" } }, - "@id": "enzml:MeasurementData/350a22b8-dfad-43d8-b222-ce66d399e683", + "@id": "enzml:MeasurementData/f2a87dc9-b0f9-4f22-a397-e794907c9111", "@type": [ "enzml:MeasurementData" ], "species_id": "s1", "initial": 10.0, "data_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000063", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u2", + "id": "mmol / l", "name": "mmol / l", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/41bc70c0-6cd0-49d3-a659-f195b6d8bdf9", - "@type": [ - "enzml:BaseUnit" - ], "kind": "mole", "exponent": 1, + "multiplier": 1.0, "scale": -3.0 }, { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/61182f56-73ee-47cd-ac22-4ce7ad6da66a", - "@type": [ - "enzml:BaseUnit" - ], "kind": "litre", "exponent": -1, - "scale": 1.0 + "multiplier": 1.0, + "scale": 0.0 } ] }, - "data_type": "http://purl.obolibrary.org/obo/PATO_0000033", + "data_type": "concentration", "data": [ 10.0, 9.0, @@ -718,31 +533,14 @@ 10.0 ], "time_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000010", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u1", + "id": "s", "name": "s", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/e9698180-23e9-4660-adcc-38dbf74c0ad5", - "@type": [ - "enzml:BaseUnit" - ], "kind": "second", "exponent": 1, - "scale": 1.0 + "multiplier": 1.0, + "scale": 0.0 } ] }, @@ -752,31 +550,14 @@ "ph": 7.0, "temperature": 298.15, "temperature_unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000012", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u3", + "id": "K", "name": "K", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/d593a318-0adf-4c28-b768-a60643e77209", - "@type": [ - "enzml:BaseUnit" - ], "kind": "kelvin", "exponent": 1, - "scale": 1.0 + "multiplier": 1.0, + "scale": 0.0 } ] } @@ -786,28 +567,32 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { + "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:Equation/99d3756a-898a-4d1f-9da8-0ddf4a78ef19", + "@id": "enzml:Equation/de44fa4e-50a9-4aaf-949a-fb15d19c9e2d", "@type": [ "enzml:Equation" ], + "species_id": "s1", "equation": "E_tot*kcat*s0/(K_m + s0)", "equation_type": "ode", - "species_id": "s1", "variables": [ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", - "id": "schema:identifier" + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + } }, - "@id": "enzml:Variable/2104c1ec-afc6-45c8-be1a-3e384b925cc6", + "@id": "enzml:Variable/4a0e8a1e-2ae5-4ee8-a27c-dccd11c24bcb", "@type": [ "enzml:Variable" ], @@ -820,19 +605,20 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { + "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:Equation/9674a3b0-0f65-4617-abe0-db1dc1ad0a28", + "@id": "enzml:Equation/bce4cafa-852c-4676-b1c3-e8656308ed64", "@type": [ "enzml:Equation" ], + "species_id": "E_tot", "equation": "100", "equation_type": "initialAssignment", - "species_id": "E_tot", "variables": [] } ], @@ -840,130 +626,88 @@ { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:Parameter/b53a61b4-dc01-4756-b196-de11ca49f32e", + "@id": "enzml:Parameter/d97938ad-293f-49b9-b663-491f9766b54a", "@type": [ "enzml:Parameter" ], - "id": "kcat", - "name": "kcat", - "symbol": "kcat", + "id": "K_m", + "name": "K_m", + "symbol": "K_m", "unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000010", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u4", - "name": "1 / s", + "id": "mmol / l", + "name": "mmol / l", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/e9698180-23e9-4660-adcc-38dbf74c0ad5", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "second", + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 + }, + { + "kind": "litre", "exponent": -1, - "scale": 1.0 + "multiplier": 1.0, + "scale": 0.0 } ] }, - "upper": 100.0, - "lower": 0.0, + "upper_bound": 100.0, + "lower_bound": 0.0, "stderr": 0.1, "constant": true }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:Parameter/262c575a-86af-4a68-afae-86d0a2487449", + "@id": "enzml:Parameter/cc63207e-37d7-49d8-a2f9-c1e91106ce61", "@type": [ "enzml:Parameter" ], - "id": "K_m", - "name": "K_m", - "symbol": "K_m", + "id": "kcat", + "name": "kcat", + "symbol": "kcat", "unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000063", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u2", - "name": "mmol / l", + "id": "u9", + "name": "1 / s", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/41bc70c0-6cd0-49d3-a659-f195b6d8bdf9", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "mole", - "exponent": 1, - "scale": -3.0 - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/61182f56-73ee-47cd-ac22-4ce7ad6da66a", - "@type": [ - "enzml:BaseUnit" - ], - "kind": "litre", + "kind": "second", "exponent": -1, - "scale": 1.0 + "multiplier": 1.0, + "scale": 0.0 } ] }, - "upper": 100.0, - "lower": 0.0, + "upper_bound": 100.0, + "lower_bound": 0.0, "stderr": 0.1, "constant": true }, { "@context": { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id" } }, - "@id": "enzml:Parameter/288ed9be-7df3-462f-84c1-bbbcc437d7a7", + "@id": "enzml:Parameter/01ffd21c-0efd-489a-9a4f-ff205c10cf20", "@type": [ "enzml:Parameter" ], @@ -971,52 +715,28 @@ "name": "E_tot", "symbol": "E_tot", "unit": { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "OBO:UO_0000063", - "@type": [ - "OBO:UO_0000000" - ], - "id": "u2", + "id": "mmol / l", "name": "mmol / l", "base_units": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/41bc70c0-6cd0-49d3-a659-f195b6d8bdf9", - "@type": [ - "enzml:BaseUnit" - ], "kind": "mole", "exponent": 1, + "multiplier": 1.0, "scale": -3.0 }, { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/" - }, - "@id": "enzml:BaseUnit/61182f56-73ee-47cd-ac22-4ce7ad6da66a", - "@type": [ - "enzml:BaseUnit" - ], "kind": "litre", "exponent": -1, - "scale": 1.0 + "multiplier": 1.0, + "scale": 0.0 } ] }, - "upper": 100.0, - "lower": 0.0, + "upper_bound": 100.0, + "lower_bound": 0.0, "stderr": 0.1, "constant": true } - 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pyenzyme/versions/__init__.py | 0 pyenzyme/versions/v2.py | 1948 +++++++++++++++++++++++++++++++++ 6 files changed, 1987 insertions(+), 31 deletions(-) create mode 100644 pyenzyme/versions/__init__.py create mode 100644 pyenzyme/versions/v2.py diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index 6396014a..4576eb37 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -5,7 +5,9 @@ from rich import print -from .model import * # noqa: F403 +from mdmodels.units.unit_definition import UnitDefinition # noqa: F401 + +from .versions.v2 import * # noqa: F403 from .sbml import to_sbml, read_sbml # noqa: F401 from .suite import EnzymeMLSuite # noqa: F401 from .tabular import to_pandas, read_csv, read_excel, from_dataframe # noqa: F401 diff --git a/pyenzyme/equations/_math.py b/pyenzyme/equations/_math.py index 5108368a..03db9fa8 100644 --- a/pyenzyme/equations/_math.py +++ b/pyenzyme/equations/_math.py @@ -5,11 +5,11 @@ from sympy import sympify from pyenzyme.logging import add_logger -from pyenzyme.model import ( +from mdmodels.units.unit_definition import UnitDefinition +from pyenzyme.versions.v2 import ( EnzymeMLDocument, Equation, EquationType, - UnitDefinition, Variable, Parameter, ) @@ -24,7 +24,7 @@ def build_equations( *equations: str, - unit_mapping: dict[str, UnitDefinition] | None = None, + unit_mapping: dict[str, str] | None = None, enzmldoc: EnzymeMLDocument, ) -> list[Equation]: """Builds a list of Equation objects from a list of string representations. @@ -59,7 +59,7 @@ def build_equations( def build_equation( equation: str, enzmldoc: EnzymeMLDocument, - unit_mapping: dict[str, UnitDefinition] | None = None, + unit_mapping: dict[str, str] | None = None, ) -> Equation: """Builds an equation object from a string @@ -118,7 +118,7 @@ def build_equation( parameters = parameters.union({left}) eq = Equation( - species_id=left if left else None, + species_id=left, equation=str(right), variables=[_create_variable(name) for name in variables], equation_type=equation_type, @@ -128,7 +128,7 @@ def build_equation( _add_to_parameters( enzmldoc, param, - unit_mapping.get(param), + unit_mapping.get(param, None), ) for param in parameters ] @@ -172,7 +172,7 @@ def _create_variable(name: str) -> Variable: def _add_to_parameters( enzmldoc: EnzymeMLDocument, name: str, - unit: UnitDefinition, + unit: str | UnitDefinition | None, ): """Adds a parameter to the EnzymeMLDocument""" @@ -186,5 +186,5 @@ def _add_to_parameters( name=name, id=name, symbol=name, - unit=unit, + unit=unit, # type: ignore ) # type: ignore diff --git a/pyenzyme/tabular.py b/pyenzyme/tabular.py index 1c5ad193..b7316241 100644 --- a/pyenzyme/tabular.py +++ b/pyenzyme/tabular.py @@ -4,12 +4,13 @@ import pandas as pd -from .model import ( +from mdmodels.units.unit_definition import UnitDefinition + +from .versions.v2 import ( DataTypes, Measurement, EnzymeMLDocument, MeasurementData, - UnitDefinition, ) @@ -44,9 +45,9 @@ def to_pandas( if ignore is None: ignore = [] - assert isinstance( - enzmldoc, EnzymeMLDocument - ), "The input must be an EnzymeMLDocument object" + assert isinstance(enzmldoc, EnzymeMLDocument), ( + "The input must be an EnzymeMLDocument object" + ) dfs = [] for meas in enzmldoc.measurements: @@ -70,8 +71,8 @@ def to_pandas( def read_excel( path: pl.Path | str, - data_unit: UnitDefinition, - time_unit: UnitDefinition, + data_unit: str, + time_unit: str, data_type: DataTypes = DataTypes.CONCENTRATION, sep: str = ";", ): @@ -124,8 +125,8 @@ def read_excel( def read_csv( path: pl.Path | str, - data_unit: UnitDefinition, - time_unit: UnitDefinition, + data_unit: str, + time_unit: str, data_type: DataTypes = DataTypes.CONCENTRATION, sep: str = "\t", ): @@ -178,8 +179,8 @@ def read_csv( def from_dataframe( df: pd.DataFrame, - data_unit: UnitDefinition, - time_unit: UnitDefinition, + data_unit: str, + time_unit: str, data_type: DataTypes = DataTypes.CONCENTRATION, meas_id: str | None = None, ) -> list[Measurement]: @@ -222,8 +223,7 @@ def from_dataframe( ) else: assert meas_id is not None, ( - "The 'meas_id' argument must be provided " - "when parsing a single measurement" + "The 'meas_id' argument must be provided when parsing a single measurement" ) return [ _create_single_measurement( @@ -239,21 +239,26 @@ def from_dataframe( def _create_single_measurement( df: pd.DataFrame, id: str, - data_unit: UnitDefinition, - time_unit: UnitDefinition, + data_unit: str | UnitDefinition, + time_unit: str | UnitDefinition, data_type: DataTypes, ) -> Measurement: data = df.to_dict(orient="list") time = data.pop("time") meas_data = [] + if isinstance(data_unit, UnitDefinition): + data_unit = data_unit.name # type: ignore + if isinstance(time_unit, UnitDefinition): + time_unit = time_unit.name # type: ignore + for species_id, species_data in data.items(): if species_id == "id": continue meas_data.append( MeasurementData( - species_id=species_id, + species_id=str(species_id), data=species_data, time=time, data_unit=data_unit, @@ -268,8 +273,8 @@ def _create_single_measurement( def _process_multiple_measurements( df: pd.DataFrame, - data_unit: UnitDefinition, - time_unit: UnitDefinition, + data_unit: str, + time_unit: str, data_type: DataTypes, ) -> list[Measurement]: ids = df["id"].unique() @@ -298,9 +303,9 @@ def _validate_data(data: pd.DataFrame) -> None: for col in data.columns: if col == "id": continue - assert ( - data[col].dtype == "float64" or data[col].dtype == "int64" - ), f"The column '{col}' must contain only numerical values" + assert data[col].dtype == "float64" or data[col].dtype == "int64", ( + f"The column '{col}' must contain only numerical values" + ) def _measurement_to_pandas(measurement: Measurement) -> pd.DataFrame: @@ -315,11 +320,13 @@ def _measurement_to_pandas(measurement: Measurement) -> pd.DataFrame: return pd.DataFrame(data) + def _get_time_array(measurement: Measurement): for meas_data in measurement.species_data: if len(meas_data.time) > 0: return meas_data.time + def _validate_measurement(meas: Measurement) -> None: """Validates a Measurement object""" diff --git a/pyenzyme/units/units.py b/pyenzyme/units/units.py index 087122ec..e44633fa 100644 --- a/pyenzyme/units/units.py +++ b/pyenzyme/units/units.py @@ -77,7 +77,6 @@ def __mul__(self, other: _BaseUnit) -> _BaseUnit: Raises: TypeError: If the other operand is not a BaseUnit. """ - print(self.value) if isinstance(other, _BaseUnit): return self.value(other) diff --git a/pyenzyme/versions/__init__.py b/pyenzyme/versions/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pyenzyme/versions/v2.py b/pyenzyme/versions/v2.py new file mode 100644 index 00000000..18c4a016 --- /dev/null +++ b/pyenzyme/versions/v2.py @@ -0,0 +1,1948 @@ +""" +This file contains Pydantic model definitions for data validation. + +Pydantic is a data validation library that uses Python type annotations. +It allows you to define data models with type hints that are validated +at runtime while providing static type checking. + +Usage example: +```python +from my_model import MyModel + +# Validates data at runtime +my_model = MyModel(name="John", age=30) + +# Type-safe - my_model has correct type hints +print(my_model.name) + +# Will raise error if validation fails +try: + MyModel(name="", age=30) +except ValidationError as e: + print(e) +``` + +For more information see: +https://docs.pydantic.dev/ + +WARNING: This is an auto-generated file. +Do not edit directly - any changes will be overwritten. +""" + + +## This is a generated file. Do not modify it manually! + +from __future__ import annotations +from enum import Enum +from pydantic import BaseModel, Field, ConfigDict +from typing import Optional, Generic, TypeVar +from uuid import uuid4 +from mdmodels.units.annotation import UnitDefinitionAnnot + +# Filter Wrapper definition used to filter a list of objects +# based on their attributes +Cls = TypeVar("Cls") + + +class FilterWrapper(Generic[Cls]): + """Wrapper class to filter a list of objects based on their attributes""" + + def __init__(self, collection: list[Cls], **kwargs): + self.collection = collection + self.kwargs = kwargs + + def filter(self) -> list[Cls]: + for key, value in self.kwargs.items(): + self.collection = [ + item for item in self.collection if self._fetch_attr(key, item) == value + ] + return self.collection + + def _fetch_attr(self, name: str, item: Cls): + try: + return getattr(item, name) + except AttributeError: + raise AttributeError(f"{item} does not have attribute {name}") + + +# JSON-LD Helper Functions +def add_namespace(obj, prefix: str | None, iri: str | None): + """Adds a namespace to the JSON-LD context + + Args: + prefix (str): The prefix to add + iri (str): The IRI to add + """ + if prefix is None and iri is None: + return + elif prefix and iri is None: + raise ValueError("If prefix is provided, iri must also be provided") + elif iri and prefix is None: + raise ValueError("If iri is provided, prefix must also be provided") + + obj.ld_context[prefix] = iri # type: ignore + + +def validate_prefix(term: str | dict, prefix: str): + """Validates that a term is prefixed with a given prefix + + Args: + term (str): The term to validate + prefix (str): The prefix to validate against + + Returns: + bool: True if the term is prefixed with the prefix, False otherwise + """ + + if isinstance(term, dict) and not term["@id"].startswith(prefix + ":"): + raise ValueError(f"Term {term} is not prefixed with {prefix}") + elif isinstance(term, str) and not term.startswith(prefix + ":"): + raise ValueError(f"Term {term} is not prefixed with {prefix}") + + +# Model Definitions + + +class EnzymeMLDocument(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore + + name: str + created: Optional[str] = Field(default=None) + modified: Optional[str] = Field(default=None) + creators: list[Creator] = Field(default_factory=list) + vessels: list[Vessel] = Field(default_factory=list) + proteins: list[Protein] = Field(default_factory=list) + complexes: list[Complex] = Field(default_factory=list) + small_molecules: list[SmallMolecule] = Field(default_factory=list) + reactions: list[Reaction] = Field(default_factory=list) + measurements: list[Measurement] = Field(default_factory=list) + equations: list[Equation] = Field(default_factory=list) + parameters: list[Parameter] = Field(default_factory=list) + references: list[str] = Field(default_factory=list) + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()), + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: [ + "enzml:EnzymeMLDocument", + ], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "name": "schema:title", + "created": "schema:dateCreated", + "modified": "schema:dateModified", + "creators": "schema:creator", + "references": { + "@id": "schema:citation", + "@type": "@id", + }, + }, + ) + + def filter_creators(self, **kwargs) -> list[Creator]: + """Filters the creators attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Creator]: The filtered list of Creator objects + """ + + return FilterWrapper[Creator](self.creators, **kwargs).filter() + + def filter_vessels(self, **kwargs) -> list[Vessel]: + """Filters the vessels attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Vessel]: The filtered list of Vessel objects + """ + + return FilterWrapper[Vessel](self.vessels, **kwargs).filter() + + def filter_proteins(self, **kwargs) -> list[Protein]: + """Filters the proteins attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Protein]: The filtered list of Protein objects + """ + + return FilterWrapper[Protein](self.proteins, **kwargs).filter() + + def filter_complexes(self, **kwargs) -> list[Complex]: + """Filters the complexes attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Complex]: The filtered list of Complex objects + """ + + return FilterWrapper[Complex](self.complexes, **kwargs).filter() + + def filter_small_molecules(self, **kwargs) -> list[SmallMolecule]: + """Filters the small_molecules attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[SmallMolecule]: The filtered list of SmallMolecule objects + """ + + return FilterWrapper[SmallMolecule](self.small_molecules, **kwargs).filter() + + def filter_reactions(self, **kwargs) -> list[Reaction]: + """Filters the reactions attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Reaction]: The filtered list of Reaction objects + """ + + return FilterWrapper[Reaction](self.reactions, **kwargs).filter() + + def filter_measurements(self, **kwargs) -> list[Measurement]: + """Filters the measurements attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Measurement]: The filtered list of Measurement objects + """ + + return FilterWrapper[Measurement](self.measurements, **kwargs).filter() + + def filter_equations(self, **kwargs) -> list[Equation]: + """Filters the equations attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Equation]: The filtered list of Equation objects + """ + + return FilterWrapper[Equation](self.equations, **kwargs).filter() + + def filter_parameters(self, **kwargs) -> list[Parameter]: + """Filters the parameters attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Parameter]: The filtered list of Parameter objects + """ + + return FilterWrapper[Parameter](self.parameters, **kwargs).filter() + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + def add_to_creators( + self, + given_name: str, + family_name: str, + mail: str, + **kwargs, + ): + params = {"given_name": given_name, "family_name": family_name, "mail": mail} + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.creators.append(Creator(**params)) # type: ignore + + return self.creators[-1] + + def add_to_vessels( + self, + id: str, + name: str, + volume: float, + unit: UnitDefinitionAnnot, + constant: bool = True, + **kwargs, + ): + params = { + "id": id, + "name": name, + "volume": volume, + "unit": unit, + "constant": constant, + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.vessels.append(Vessel(**params)) + + return self.vessels[-1] + + def add_to_proteins( + self, + id: str, + name: str, + constant: bool = True, + sequence: Optional[str] = None, + vessel_id: Optional[str] = None, + ecnumber: Optional[str] = None, + organism: Optional[str] = None, + organism_tax_id: Optional[str] = None, + references: list[str] = [], + **kwargs, + ): + params = { + "id": id, + "name": name, + "constant": constant, + "sequence": sequence, + "vessel_id": vessel_id, + "ecnumber": ecnumber, + "organism": organism, + "organism_tax_id": organism_tax_id, + "references": references, + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.proteins.append(Protein(**params)) + + return self.proteins[-1] + + def add_to_complexes( + self, + id: str, + name: str, + constant: bool = False, + vessel_id: Optional[str] = None, + participants: list[str] = [], + **kwargs, + ): + params = { + "id": id, + "name": name, + "constant": constant, + "vessel_id": vessel_id, + "participants": participants, + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.complexes.append(Complex(**params)) + + return self.complexes[-1] + + def add_to_small_molecules( + self, + id: str, + name: str, + constant: bool = False, + vessel_id: Optional[str] = None, + canonical_smiles: Optional[str] = None, + inchi: Optional[str] = None, + inchikey: Optional[str] = None, + references: list[str] = [], + **kwargs, + ): + params = { + "id": id, + "name": name, + "constant": constant, + "vessel_id": vessel_id, + "canonical_smiles": canonical_smiles, + "inchi": inchi, + "inchikey": inchikey, + "references": references, + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.small_molecules.append(SmallMolecule(**params)) + + return self.small_molecules[-1] + + def add_to_reactions( + self, + id: str, + name: str, + reversible: bool = False, + kinetic_law: Optional[Equation] = None, + species: list[ReactionElement] = [], + modifiers: list[str] = [], + **kwargs, + ): + params = { + "id": id, + "name": name, + "reversible": reversible, + "kinetic_law": kinetic_law, + "species": species, + "modifiers": modifiers, + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.reactions.append(Reaction(**params)) + + return self.reactions[-1] + + def add_to_measurements( + self, + id: str, + name: str, + species_data: list[MeasurementData] = [], + group_id: Optional[str] = None, + ph: Optional[float] = None, + temperature: Optional[float] = None, + temperature_unit: Optional[UnitDefinitionAnnot] = None, + **kwargs, + ): + params = { + "id": id, + "name": name, + "species_data": species_data, + "group_id": group_id, + "ph": ph, + "temperature": temperature, + "temperature_unit": temperature_unit, + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.measurements.append(Measurement(**params)) + + return self.measurements[-1] + + def add_to_equations( + self, + species_id: str, + equation: str, + equation_type: EquationType, + variables: list[Variable] = [], + **kwargs, + ): + params = { + "species_id": species_id, + "equation": equation, + "equation_type": equation_type, + "variables": variables, + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.equations.append(Equation(**params)) + + return self.equations[-1] + + def add_to_parameters( + self, + id: str, + name: str, + symbol: str, + value: Optional[float] = None, + unit: Optional[UnitDefinitionAnnot] = None, + initial_value: Optional[float] = None, + upper_bound: Optional[float] = None, + lower_bound: Optional[float] = None, + stderr: Optional[float] = None, + constant: Optional[bool] = True, + **kwargs, + ): + params = { + "id": id, + "name": name, + "symbol": symbol, + "value": value, + "unit": unit, + "initial_value": initial_value, + "upper_bound": upper_bound, + "lower_bound": lower_bound, + "stderr": stderr, + "constant": constant, + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.parameters.append(Parameter(**params)) + + return self.parameters[-1] + + +class Creator(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore + + given_name: str + family_name: str + mail: str + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:Creator/" + str(uuid4()), + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: ["enzml:Creator", "schema:person"], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "given_name": "schema:givenName", + "family_name": "schema:familyName", + "mail": "schema:email", + }, + ) + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class Vessel(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore + + id: str + name: str + volume: float + unit: UnitDefinitionAnnot + constant: bool = True + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:Vessel/" + str(uuid4()), + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: ["enzml:Vessel", "OBO:OBI_0400081"], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "name": "schema:name", + "volume": "OBO:OBI_0002139", + }, + ) + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class Protein(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore + + id: str + name: str + constant: bool = True + sequence: Optional[str] = Field(default=None) + vessel_id: Optional[str] = Field(default=None) + ecnumber: Optional[str] = Field(default=None) + organism: Optional[str] = Field(default=None) + organism_tax_id: Optional[str] = Field(default=None) + references: list[str] = Field(default_factory=list) + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:Protein/" + str(uuid4()), + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: ["enzml:Protein", "schema:Protein"], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "name": "schema:name", + "sequence": "OBO:GSSO_007262", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "organism": "OBO:OBI_0100026", + "organism_tax_id": { + "@type": "@id", + }, + "references": { + "@id": "schema:citation", + "@type": "@id", + }, + }, + ) + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class Complex(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore + + id: str + name: str + constant: bool = False + vessel_id: Optional[str] = Field(default=None) + participants: list[str] = Field(default_factory=list) + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:Complex/" + str(uuid4()), + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: [ + "enzml:Complex", + ], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "name": "schema:name", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "participants": { + "@type": "@id", + }, + }, + ) + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class SmallMolecule(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore + + id: str + name: str + constant: bool = False + vessel_id: Optional[str] = Field(default=None) + canonical_smiles: Optional[str] = Field(default=None) + inchi: Optional[str] = Field(default=None) + inchikey: Optional[str] = Field(default=None) + references: list[str] = Field(default_factory=list) + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()), + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: [ + "enzml:SmallMolecule", + ], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "name": "schema:name", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "references": { + "@id": "schema:citation", + "@type": "@id", + }, + }, + ) + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class Reaction(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore + + id: str + name: str + reversible: bool = False + kinetic_law: Optional[Equation] = Field(default=None) + species: list[ReactionElement] = Field(default_factory=list) + modifiers: list[str] = Field(default_factory=list) + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:Reaction/" + str(uuid4()), + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: [ + "enzml:Reaction", + ], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "modifiers": { + "@type": "@id", + }, + }, + ) + + def filter_species(self, **kwargs) -> list[ReactionElement]: + """Filters the species attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[ReactionElement]: The filtered list of ReactionElement objects + """ + + return FilterWrapper[ReactionElement](self.species, **kwargs).filter() + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + def add_to_species( + self, + species_id: str, + stoichiometry: float, + **kwargs, + ): + params = {"species_id": species_id, "stoichiometry": stoichiometry} + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.species.append(ReactionElement(**params)) + + return self.species[-1] + + +class ReactionElement(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore + + species_id: str + stoichiometry: float + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()), + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: [ + "enzml:ReactionElement", + ], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@id": "schema:identifier", + "@type": "@id", + }, + }, + ) + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class Equation(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore + + species_id: str + equation: str + equation_type: EquationType + variables: list[Variable] = Field(default_factory=list) + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:Equation/" + str(uuid4()), + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: [ + "enzml:Equation", + ], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@id": "schema:identifier", + "@type": "@id", + }, + }, + ) + + def filter_variables(self, **kwargs) -> list[Variable]: + """Filters the variables attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[Variable]: The filtered list of Variable objects + """ + + return FilterWrapper[Variable](self.variables, **kwargs).filter() + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + def add_to_variables( + self, + id: str, + name: str, + symbol: str, + **kwargs, + ): + params = {"id": id, "name": name, "symbol": symbol} + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.variables.append(Variable(**params)) # type: ignore + + return self.variables[-1] + + +class Variable(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore + + id: str + name: str + symbol: str + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:Variable/" + str(uuid4()), + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: [ + "enzml:Variable", + ], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + }, + ) + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class Parameter(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore + + id: str + name: str + symbol: str + value: Optional[float] = Field(default=None) + unit: Optional[UnitDefinitionAnnot] = Field(default=None) + initial_value: Optional[float] = Field(default=None) + upper_bound: Optional[float] = Field(default=None) + lower_bound: Optional[float] = Field(default=None) + stderr: Optional[float] = Field(default=None) + constant: bool = True + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:Parameter/" + str(uuid4()), + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: [ + "enzml:Parameter", + ], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + }, + ) + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class Measurement(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore + + id: str + name: str + species_data: list[MeasurementData] = Field(default_factory=list) + group_id: Optional[str] = Field(default=None) + ph: Optional[float] = Field(default=None) + temperature: Optional[float] = Field(default=None) + temperature_unit: Optional[UnitDefinitionAnnot] = Field(default=None) + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:Measurement/" + str(uuid4()), + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: [ + "enzml:Measurement", + ], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id", + }, + "group_id": { + "@type": "@id", + }, + }, + ) + + def filter_species_data(self, **kwargs) -> list[MeasurementData]: + """Filters the species_data attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[MeasurementData]: The filtered list of MeasurementData objects + """ + + return FilterWrapper[MeasurementData](self.species_data, **kwargs).filter() + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + def add_to_species_data( + self, + species_id: str, + initial: float, + data_unit: UnitDefinitionAnnot, + data_type: DataTypes, + prepared: Optional[float] = None, + data: list[float] = [], + time: list[float] = [], + time_unit: Optional[UnitDefinitionAnnot] = None, + is_simulated: bool = False, + **kwargs, + ): + params = { + "species_id": species_id, + "initial": initial, + "data_unit": data_unit, + "data_type": data_type, + "prepared": prepared, + "data": data, + "time": time, + "time_unit": time_unit, + "is_simulated": is_simulated, + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.species_data.append(MeasurementData(**params)) + + return self.species_data[-1] + + +class MeasurementData(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore + + species_id: str + initial: float + data_unit: UnitDefinitionAnnot + data_type: DataTypes + prepared: Optional[float] = Field(default=None) + data: list[float] = Field(default_factory=list) + time: list[float] = Field(default_factory=list) + time_unit: Optional[UnitDefinitionAnnot] = Field(default=None) + is_simulated: bool = False + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()), + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory=lambda: [ + "enzml:MeasurementData", + ], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory=lambda: { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@type": "@id", + }, + }, + ) + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None, + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, term: str, prefix: str | None = None, iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class EquationType(Enum): + ASSIGNMENT = "assignment" + INITIAL_ASSIGNMENT = "initialAssignment" + ODE = "ode" + RATE_LAW = "rateLaw" + + +class DataTypes(Enum): + ABSORBANCE = "absorbance" + CONCENTRATION = "concentration" + CONVERSION = "conversion" + FLUORESCENCE = "fluorescence" + PEAK_AREA = "peakarea" + TRANSMITTANCE = "transmittance" + + +# Rebuild all the classes within this file +for cls in [ + EnzymeMLDocument, + Creator, + Vessel, + Protein, + Complex, + SmallMolecule, + Reaction, + ReactionElement, + Equation, + Variable, + Parameter, + Measurement, + MeasurementData, +]: + cls.model_rebuild() From c0f0aafca9bee43e5568df9e67bfc50a816d18b2 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Tue, 6 May 2025 13:37:38 +0200 Subject: [PATCH 088/172] update model version --- pyenzyme/versions/v2.py | 36 ++++++++++++++++++------------------ 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/pyenzyme/versions/v2.py b/pyenzyme/versions/v2.py index 18c4a016..c967531c 100644 --- a/pyenzyme/versions/v2.py +++ b/pyenzyme/versions/v2.py @@ -33,9 +33,9 @@ ## This is a generated file. Do not modify it manually! from __future__ import annotations -from enum import Enum from pydantic import BaseModel, Field, ConfigDict from typing import Optional, Generic, TypeVar +from enum import Enum from uuid import uuid4 from mdmodels.units.annotation import UnitDefinitionAnnot @@ -137,8 +137,8 @@ class EnzymeMLDocument(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "name": "schema:title", "created": "schema:dateCreated", "modified": "schema:dateModified", @@ -335,7 +335,7 @@ def add_to_creators( if "id" in kwargs: params["id"] = kwargs["id"] - self.creators.append(Creator(**params)) # type: ignore + self.creators.append(Creator(**params)) return self.creators[-1] @@ -582,8 +582,8 @@ class Creator(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "given_name": "schema:givenName", "family_name": "schema:familyName", "mail": "schema:email", @@ -680,8 +680,8 @@ class Vessel(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -779,14 +779,14 @@ class Protein(BaseModel): ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["enzml:Protein", "schema:Protein"], + default_factory=lambda: ["enzml:Protein", "OBO:PR_000000001"], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -900,8 +900,8 @@ class Complex(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1012,8 +1012,8 @@ class SmallMolecule(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1123,8 +1123,8 @@ class Reaction(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1251,8 +1251,8 @@ class ReactionElement(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@id": "schema:identifier", "@type": "@id", @@ -1351,8 +1351,8 @@ class Equation(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@id": "schema:identifier", "@type": "@id", @@ -1449,7 +1449,7 @@ def add_to_variables( if "id" in kwargs: params["id"] = kwargs["id"] - self.variables.append(Variable(**params)) # type: ignore + self.variables.append(Variable(**params)) return self.variables[-1] @@ -1478,8 +1478,8 @@ class Variable(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1567,7 +1567,7 @@ class Parameter(BaseModel): upper_bound: Optional[float] = Field(default=None) lower_bound: Optional[float] = Field(default=None) stderr: Optional[float] = Field(default=None) - constant: bool = True + constant: Optional[bool] = True # JSON-LD fields ld_id: str = Field( @@ -1584,8 +1584,8 @@ class Parameter(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1687,8 +1687,8 @@ class Measurement(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1839,8 +1839,8 @@ class MeasurementData(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id", }, From a2c3d3566ae613cfd94bbad699a61160911aa97c Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 01:19:17 +0200 Subject: [PATCH 089/172] remove dev examples --- dev-examples/Readme.md | 12 - dev-examples/enzml_legacy_to_v2.json | 2305 ------------ dev-examples/legacy/Model_4.omex | Bin 13024 -> 0 bytes dev-examples/legacy/enzml_legacy_to_v2.json | 3185 ----------------- dev-examples/odes/data.tsv | 23 - dev-examples/odes/enzymeml.json | 1017 ------ dev-examples/odes/odes_example.omex | Bin 2427 -> 0 bytes dev-examples/odes/odes_example.xml | 241 -- dev-examples/odes/odes_example_test.xml | 241 -- dev-examples/reactions/data.tsv | 23 - dev-examples/reactions/enzymeml.json | 972 ----- dev-examples/reactions/reactions_example.omex | Bin 2213 -> 0 bytes dev-examples/reactions/reactions_example.xml | 206 -- dev-examples/sbml_export_odes.py | 86 - dev-examples/sbml_export_reactions.py | 64 - dev-examples/sbml_import_legacy.py | 8 - dev-examples/sbml_import_odes.py | 10 - dev-examples/sbml_import_reactions.py | 16 - dev-examples/v1.xml | 731 ---- 19 files changed, 9140 deletions(-) delete mode 100644 dev-examples/Readme.md delete mode 100644 dev-examples/enzml_legacy_to_v2.json delete mode 100644 dev-examples/legacy/Model_4.omex delete mode 100644 dev-examples/legacy/enzml_legacy_to_v2.json delete mode 100644 dev-examples/odes/data.tsv delete mode 100644 dev-examples/odes/enzymeml.json delete mode 100644 dev-examples/odes/odes_example.omex delete mode 100644 dev-examples/odes/odes_example.xml delete mode 100644 dev-examples/odes/odes_example_test.xml delete mode 100644 dev-examples/reactions/data.tsv delete mode 100644 dev-examples/reactions/enzymeml.json delete mode 100644 dev-examples/reactions/reactions_example.omex delete mode 100644 dev-examples/reactions/reactions_example.xml delete mode 100644 dev-examples/sbml_export_odes.py delete mode 100644 dev-examples/sbml_export_reactions.py delete mode 100644 dev-examples/sbml_import_legacy.py delete mode 100644 dev-examples/sbml_import_odes.py delete mode 100644 dev-examples/sbml_import_reactions.py delete mode 100644 dev-examples/v1.xml diff --git a/dev-examples/Readme.md b/dev-examples/Readme.md deleted file mode 100644 index c9c3843c..00000000 --- a/dev-examples/Readme.md +++ /dev/null @@ -1,12 +0,0 @@ -# Dev Examples - -These examples are intended to be used during development towards 2.0.0 and will be removed in the final release. - -## How to run the examples - -Dev examples should be run from the root directory of the repository and will produce outputs to the dev-example folder. - -```bash -# From the root directory -python ./dev-examples/*.py -``` diff --git a/dev-examples/enzml_legacy_to_v2.json b/dev-examples/enzml_legacy_to_v2.json deleted file mode 100644 index ac173d6a..00000000 --- a/dev-examples/enzml_legacy_to_v2.json +++ /dev/null @@ -1,2305 +0,0 @@ -{ - "name": "EnzymeML_Lagerman", - "references": [], - "created": null, - "modified": null, - "creators": [], - "vessels": [ - { - "id": "v0", - "name": "Falcon Tube", - "volume": 5.0, - "unit": { - "id": "u0", - "name": "ml", - "base_units": [ - { - "kind": "UnitType.LITRE", - "exponent": 1, - "multiplier": 1.0, - "scale": -3.0 - } - ] - }, - "constant": true - } - ], - "proteins": [ - { - "id": "p0", - "name": "E", - "constant": false, - "sequence": "MRRLAACLLATAVAAATSAALAQTSPMTPDITGKPFVAGDAANDYVKREVMIPMRDGVKLHTVIVLPKGARNAPIVLTRTPYDASGRTERLASPHMKDLLSAGDDVFVEGGYIRVFQDVRGKYGSEGDYVMTRPLRGPLNPSEVDHATDAWDTIDWLVKNVKESNGKVGMIGSSYEGFTVVMALTNPHPALKVAAPESPMIDGWMGDDWFNYGAFRQVNFDYFTGQLSKRGKGAGIPRQGHDDYSNFLQAGSAGDFAKAAGLEQLPWWHKLTEHAAYDSFWQEQALDKVMARTPLKVPTMWLQGLWDQEDMWGAIHSYAAMEPRDKSNKLNYLVMGPWRHSQVNSDASSLGALNFDGDTARQFRRDVLRPFFDQYLVDGAPKAATPPVFIYNTGENHWDRLQAWPRSCDKGCAAKSKPLYLQAGGKLSFQAPTAAQPAFEEYVSDPAKPVPFVPRPVDFGDRSMWTTWLVHDQRFVDGRPDVLTFVTEPLTAPLQIAGAPDVHLQASTSGSDSDWVVKLIDVYPDEMAADPKMGGYELPVSMAIFRGRYRESFSTPAPLAANQPLAFQFGLPTANHTFQPGHRVMVQVQSSLFPLYDRNPQTYVPNVFFAKPGDYQKATQRVYVAPGQGSYISLPVR", - "vessel_id": "v0", - "ecnumber": "3.1.1.43", - "organism": "Xanthomonas campestris pv. campestris", - "organism_tax_id": null, - "references": [] - }, - { - "id": "p1", - "name": "EA", - "constant": false, - "sequence": "MRRLAACLLATAVAAATSAALAQTSPMTPDITGKPFVAGDAANDYVKREVMIPMRDGVKLHTVIVLPKGARNAPIVLTRTPYDASGRTERLASPHMKDLLSAGDDVFVEGGYIRVFQDVRGKYGSEGDYVMTRPLRGPLNPSEVDHATDAWDTIDWLVKNVKESNGKVGMIGSSYEGFTVVMALTNPHPALKVAAPESPMIDGWMGDDWFNYGAFRQVNFDYFTGQLSKRGKGAGIPRQGHDDYSNFLQAGSAGDFAKAAGLEQLPWWHKLTEHAAYDSFWQEQALDKVMARTPLKVPTMWLQGLWDQEDMWGAIHSYAAMEPRDKSNKLNYLVMGPWRHSQVNSDASSLGALNFDGDTARQFRRDVLRPFFDQYLVDGAPKAATPPVFIYNTGENHWDRLQAWPRSCDKGCAAKSKPLYLQAGGKLSFQAPTAAQPAFEEYVSDPAKPVPFVPRPVDFGDRSMWTTWLVHDQRFVDGRPDVLTFVTEPLTAPLQIAGAPDVHLQASTSGSDSDWVVKLIDVYPDEMAADPKMGGYELPVSMAIFRGRYRESFSTPAPLAANQPLAFQFGLPTANHTFQPGHRVMVQVQSSLFPLYDRNPQTYVPNVFFAKPGDYQKATQRVYVAPGQGSYISLPVR", - "vessel_id": "v0", - "ecnumber": "3.1.1.43", - "organism": "Xanthomonas campestris pv. campestris", - "organism_tax_id": null, - "references": [] - }, - { - "id": "p2", - "name": "ED", - "constant": false, - "sequence": "MRRLAACLLATAVAAATSAALAQTSPMTPDITGKPFVAGDAANDYVKREVMIPMRDGVKLHTVIVLPKGARNAPIVLTRTPYDASGRTERLASPHMKDLLSAGDDVFVEGGYIRVFQDVRGKYGSEGDYVMTRPLRGPLNPSEVDHATDAWDTIDWLVKNVKESNGKVGMIGSSYEGFTVVMALTNPHPALKVAAPESPMIDGWMGDDWFNYGAFRQVNFDYFTGQLSKRGKGAGIPRQGHDDYSNFLQAGSAGDFAKAAGLEQLPWWHKLTEHAAYDSFWQEQALDKVMARTPLKVPTMWLQGLWDQEDMWGAIHSYAAMEPRDKSNKLNYLVMGPWRHSQVNSDASSLGALNFDGDTARQFRRDVLRPFFDQYLVDGAPKAATPPVFIYNTGENHWDRLQAWPRSCDKGCAAKSKPLYLQAGGKLSFQAPTAAQPAFEEYVSDPAKPVPFVPRPVDFGDRSMWTTWLVHDQRFVDGRPDVLTFVTEPLTAPLQIAGAPDVHLQASTSGSDSDWVVKLIDVYPDEMAADPKMGGYELPVSMAIFRGRYRESFSTPAPLAANQPLAFQFGLPTANHTFQPGHRVMVQVQSSLFPLYDRNPQTYVPNVFFAKPGDYQKATQRVYVAPGQGSYISLPVR", - "vessel_id": "v0", - "ecnumber": "3.1.1.43", - "organism": "Xanthomonas campestris pv. campestris", - "organism_tax_id": null, - "references": [] - } - ], - "complexes": [ - { - "id": "c0", - "name": "E\u00b7PGME", - "constant": false, - "participants": [ - "p0", - "s0" - ] - }, - { - "id": "c1", - "name": "E\u00b77-ADCA", - "constant": false, - 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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Vessel 1 - 10.0 - - - - - - - - - - - - - Enzyme - MTEY - - - - - - MTEY - - - - - - - - Substrate - - - - - - - - - - Product - - - - - - - - - - - - - - - - 0.0 - 100.0 - 0.1 - - - - - - - - - - - - 0.0 - 100.0 - 0.1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - kcat - p0 - s0 - - - - K_m - s0 - - - - - - - - diff --git a/dev-examples/sbml_export_odes.py b/dev-examples/sbml_export_odes.py deleted file mode 100644 index 1054d281..00000000 --- a/dev-examples/sbml_export_odes.py +++ /dev/null @@ -1,86 +0,0 @@ -import rich - -import pyenzyme as pe -import pyenzyme.equations as peq -from pyenzyme.sbml.serializer import to_sbml -from pyenzyme.tools import get_all_parameters -from pyenzyme.units import mM, s, ml, K - -doc = pe.EnzymeMLDocument(name="Test") - -ml.id = "u0" -s.id = "u1" -mM.id = "u2" -K.id = "u3" - -# Add Vessels -vessel = doc.add_to_vessels(name="Vessel 1", volume=10.0, unit=ml, id="v0") - -# Add Species -substrate = doc.add_to_small_molecules( - id="s0", - name="Substrate", - vessel_id=vessel.id, - canonical_smiles="CC(=O)O", - inchikey="QTBSBXVTEAMEQO-UHFFFAOYSA-N", -) -product = doc.add_to_small_molecules( - id="s1", - name="Product", - vessel_id=vessel.id, - canonical_smiles="CC(=O)O", - inchikey="QTBSBXVTEAMEQO-UHFFFAOYSA-N", -) - -# Add Enzyme -enzyme = doc.add_to_proteins( - id="p0", - name="Enzyme", - sequence="MTEY", - vessel_id=vessel.id, - ecnumber="1.1.1.1", - organism="E.coli", - organism_tax_id="12345", -) - -enzyme_complex = doc.add_to_complexes( - id="c0", - name="Enzyme-Substrate Complex", - participants=[enzyme.id, substrate.id], - vessel_id=vessel.id, -) - -doc.equations += peq.build_equations( - "s1'(t) = kcat * E_tot * s0(t) / (K_m + s0(t))", - "E_tot = 100", - unit_mapping={"kcat": 1 / s, "K_m": mM, "E_tot": mM}, - enzmldoc=doc, -) - -doc.measurements += pe.read_excel( - "tests/fixtures/tabular/data.xlsx", - data_unit=mM, - time_unit=s, -) - -for parameter in get_all_parameters(doc): - parameter.lower = 0.0 - parameter.upper = 100.0 - parameter.stderr = 0.1 - -for meas in doc.measurements: - meas.temperature = 298.15 - meas.temperature_unit = K - meas.ph = 7.0 - -rich.print(to_sbml(doc)[0]) - -# Write sbml doc to file -with open("./dev-examples/odes/odes_example_test.xml", "w") as file: - file.write(to_sbml(doc)[0]) - -# Write to omex file -doc.to_sbml("./tests/fixtures/sbml/odes_example.omex") - -# Write to EnzymeML JSON file -pe.write_enzymeml(self=doc, path="./tests/fixtures/sbml/ode_example_enzml.json") diff --git a/dev-examples/sbml_export_reactions.py b/dev-examples/sbml_export_reactions.py deleted file mode 100644 index fc4c3c33..00000000 --- a/dev-examples/sbml_export_reactions.py +++ /dev/null @@ -1,64 +0,0 @@ -import pyenzyme as pe -import pyenzyme.equations as peq -from pyenzyme.sbml.serializer import to_sbml -from pyenzyme.tools import get_all_parameters -from pyenzyme.units import mM, s, ml, K - -doc = pe.EnzymeMLDocument(name="Test") - -# Add Vessels -vessel = doc.add_to_vessels(name="Vessel 1", volume=10.0, unit=ml, id="v0") - -# Add Species -substrate = doc.add_to_small_molecules(id="s0", name="Substrate", vessel_id=vessel.id) -product = doc.add_to_small_molecules(id="s1", name="Product", vessel_id=vessel.id) - -# Add Enzyme -enzyme = doc.add_to_proteins( - id="p0", - name="Enzyme", - sequence="MTEY", - vessel_id=vessel.id, -) - -# Set reactions -reaction = peq.build_reaction( - scheme="s0 -> s1", - name="Reaction 1", - id="r0", - modifiers=[enzyme.id], -) - -reaction.kinetic_law = peq.build_equation( - "kcat * p0(t) * s0(t) / ( K_m + s0(t) )", - unit_mapping={"kcat": 1 / s, "K_m": mM}, - enzmldoc=doc, -) - -doc.reactions += [reaction] - -doc.measurements += pe.read_excel( - "tests/fixtures/tabular/data.xlsx", - data_unit=mM, - time_unit=s, -) - -for parameter in get_all_parameters(doc): - parameter.lower = 0.0 - parameter.upper = 100.0 - parameter.stderr = 0.1 - -for meas in doc.measurements: - meas.temperature = 298.15 - meas.temperature_unit = K - meas.ph = 7.0 - -# Write sbml doc to file -with open("./dev-examples/reactions/reactions_example.xml", "w") as file: - file.write(to_sbml(doc)[0]) - -# Write to omex file -doc.to_sbml("./dev-examples/reactions/reactions_example.omex") - -# Write to EnzymeML JSON file -pe.write_enzymeml(self=doc, path="./dev-examples/reactions/enzymeml.json") diff --git a/dev-examples/sbml_import_legacy.py b/dev-examples/sbml_import_legacy.py deleted file mode 100644 index 84012f8d..00000000 --- a/dev-examples/sbml_import_legacy.py +++ /dev/null @@ -1,8 +0,0 @@ -from pathlib import Path - -import pyenzyme as pe - -doc = pe.EnzymeMLDocument.from_sbml(path=Path("./tests/fixtures/sbml/v1_example.omex")) - -with open("./tests/fixtures/sbml/v1_example_enzml.json", "w") as f: - f.write(doc.model_dump_json(indent=2)) diff --git a/dev-examples/sbml_import_odes.py b/dev-examples/sbml_import_odes.py deleted file mode 100644 index a652e0a7..00000000 --- a/dev-examples/sbml_import_odes.py +++ /dev/null @@ -1,10 +0,0 @@ -from pathlib import Path - -import rich - -import pyenzyme as pe -from pyenzyme.tools import to_dict_wo_json_ld - -doc = pe.EnzymeMLDocument.from_sbml(path=Path("./dev-examples/odes/odes_example.omex")) - -rich.print(to_dict_wo_json_ld(doc)) diff --git a/dev-examples/sbml_import_reactions.py b/dev-examples/sbml_import_reactions.py deleted file mode 100644 index f630d6aa..00000000 --- a/dev-examples/sbml_import_reactions.py +++ /dev/null @@ -1,16 +0,0 @@ -from pathlib import Path - -import rich - -import pyenzyme as pe -from pyenzyme.tools import to_dict_wo_json_ld - -doc = pe.EnzymeMLDocument.from_sbml( - path=Path("./dev-examples/reactions/reactions_example.omex") -) - -rich.print(to_dict_wo_json_ld(doc)) - -df = doc.to_pandas(doc) - -rich.print(df) diff --git a/dev-examples/v1.xml b/dev-examples/v1.xml deleted file mode 100644 index 989e87dd..00000000 --- a/dev-examples/v1.xml +++ /dev/null @@ -1,731 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - MRRLAACLLATAVAAATSAALAQTSPMTPDITGKPFVAGDAANDYVKREVMIPMRDGVKLHTVIVLPKGARNAPIVLTRTPYDASGRTERLASPHMKDLLSAGDDVFVEGGYIRVFQDVRGKYGSEGDYVMTRPLRGPLNPSEVDHATDAWDTIDWLVKNVKESNGKVGMIGSSYEGFTVVMALTNPHPALKVAAPESPMIDGWMGDDWFNYGAFRQVNFDYFTGQLSKRGKGAGIPRQGHDDYSNFLQAGSAGDFAKAAGLEQLPWWHKLTEHAAYDSFWQEQALDKVMARTPLKVPTMWLQGLWDQEDMWGAIHSYAAMEPRDKSNKLNYLVMGPWRHSQVNSDASSLGALNFDGDTARQFRRDVLRPFFDQYLVDGAPKAATPPVFIYNTGENHWDRLQAWPRSCDKGCAAKSKPLYLQAGGKLSFQAPTAAQPAFEEYVSDPAKPVPFVPRPVDFGDRSMWTTWLVHDQRFVDGRPDVLTFVTEPLTAPLQIAGAPDVHLQASTSGSDSDWVVKLIDVYPDEMAADPKMGGYELPVSMAIFRGRYRESFSTPAPLAANQPLAFQFGLPTANHTFQPGHRVMVQVQSSLFPLYDRNPQTYVPNVFFAKPGDYQKATQRVYVAPGQGSYISLPVR - - 3.1.1.43 - B0RS62 - Xanthomonas campestris pv. campestris - - - - - - - - MRRLAACLLATAVAAATSAALAQTSPMTPDITGKPFVAGDAANDYVKREVMIPMRDGVKLHTVIVLPKGARNAPIVLTRTPYDASGRTERLASPHMKDLLSAGDDVFVEGGYIRVFQDVRGKYGSEGDYVMTRPLRGPLNPSEVDHATDAWDTIDWLVKNVKESNGKVGMIGSSYEGFTVVMALTNPHPALKVAAPESPMIDGWMGDDWFNYGAFRQVNFDYFTGQLSKRGKGAGIPRQGHDDYSNFLQAGSAGDFAKAAGLEQLPWWHKLTEHAAYDSFWQEQALDKVMARTPLKVPTMWLQGLWDQEDMWGAIHSYAAMEPRDKSNKLNYLVMGPWRHSQVNSDASSLGALNFDGDTARQFRRDVLRPFFDQYLVDGAPKAATPPVFIYNTGENHWDRLQAWPRSCDKGCAAKSKPLYLQAGGKLSFQAPTAAQPAFEEYVSDPAKPVPFVPRPVDFGDRSMWTTWLVHDQRFVDGRPDVLTFVTEPLTAPLQIAGAPDVHLQASTSGSDSDWVVKLIDVYPDEMAADPKMGGYELPVSMAIFRGRYRESFSTPAPLAANQPLAFQFGLPTANHTFQPGHRVMVQVQSSLFPLYDRNPQTYVPNVFFAKPGDYQKATQRVYVAPGQGSYISLPVR - - 3.1.1.43 - B0RS62 - Xanthomonas campestris pv. campestris - - x - - - - - - - MRRLAACLLATAVAAATSAALAQTSPMTPDITGKPFVAGDAANDYVKREVMIPMRDGVKLHTVIVLPKGARNAPIVLTRTPYDASGRTERLASPHMKDLLSAGDDVFVEGGYIRVFQDVRGKYGSEGDYVMTRPLRGPLNPSEVDHATDAWDTIDWLVKNVKESNGKVGMIGSSYEGFTVVMALTNPHPALKVAAPESPMIDGWMGDDWFNYGAFRQVNFDYFTGQLSKRGKGAGIPRQGHDDYSNFLQAGSAGDFAKAAGLEQLPWWHKLTEHAAYDSFWQEQALDKVMARTPLKVPTMWLQGLWDQEDMWGAIHSYAAMEPRDKSNKLNYLVMGPWRHSQVNSDASSLGALNFDGDTARQFRRDVLRPFFDQYLVDGAPKAATPPVFIYNTGENHWDRLQAWPRSCDKGCAAKSKPLYLQAGGKLSFQAPTAAQPAFEEYVSDPAKPVPFVPRPVDFGDRSMWTTWLVHDQRFVDGRPDVLTFVTEPLTAPLQIAGAPDVHLQASTSGSDSDWVVKLIDVYPDEMAADPKMGGYELPVSMAIFRGRYRESFSTPAPLAANQPLAFQFGLPTANHTFQPGHRVMVQVQSSLFPLYDRNPQTYVPNVFFAKPGDYQKATQRVYVAPGQGSYISLPVR - - 3.1.1.43 - B0RS62 - Xanthomonas campestris pv. campestris - - - - - - - p0 - s0 - - - - - - - p0 - s1 - - - - - - - p0 - s3 - - - - - - - p0 - s0 - s0 - - - - - - - p1 - s1 - - - - - - - p1 - s0 - - - - - - - p0 - s2 - - - - - - - 1S/C9H11NO2/c1-12-9(11)7-10-8-5-3-2-4-6-8/h2-6,10H,7H2,1H3 - O(C([C@@H](C1=CC=CC=C1)N([H])[H])=O)C - - - - - - - - 1S/C8H10N2O3S/c1-3-2-14-7-4(9)6(11)10(7)5(3)8(12)13/h4,7H,2,9H2,1H3,(H,12,13)/t4-,7-/m1/s1 - - CC1=C(N2[C@H](SC1)[C@H](N)C2=O)C(O)=O - - - - - - - - 1S/C16H17N3O4S/c1-8-7-24-15-11(14(21)19(15)12(8)16(22)23)18-13(20)10(17)9-5-3-2-4-6-9/h2-6,10-11,15H,7,17H2,1H3,(H,18,20)(H,22,23)/t10-,11-,15-/m1/s1 - - CC1=C(N2[C@@H]([C@@H](C2=O)NC(=O)[C@@H](C3=CC=CC=C3)N)SC1)C(=O)O - - - - - - - - 1S/C8H9NO2/c9-7(8(10)11)6-4-2-1-3-5-6/h1-5,7H,9H2,(H,10,11) - C1=CC=C(C=C1)[C@H](C(=O)O)N - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - v_r - - - - - K_n - c1 - - - - p0 - s1 - - - - - - - - - - - - - - - - - - - v_r - - - - - K_s - c0 - - - - p0 - s0 - - - - - - - - - - - - - - - - - - - - - k_2 - c0 - - - - - - - - - - - - - - - - - - - - v_r - - - - - K_si - c3 - - - - c0 - s0 - - - - - - - - - - - - - - - - - - - v_r - - - - - K_si - c5 - - - - p1 - s0 - - - - - - - - - - - - - - - - - - - k_6 - c5 - - - - - - - - - - - - - - - - - - - - k_3 - p1 - - - - - - - - - - - - - - - - - - - - v_r - - - - - K_pg - c2 - - - - p0 - s3 - - - - - - - - - - - - - - - - - - - - - - v_r - - - - - K_n - c4 - - - - p1 - s1 - - - - - - - - - - - - - - - - - - - - k_5 - c4 - - - - - - - - - - - - - - - - - - - - - k_4 - c4 - - - - k_4b - c6 - - - - - - - - - - - - - - - - - - - - - - v_r - - - - - K_p - c6 - - - - p0 - s2 - - - - - - - - - - - - - - - - - - - - - k_d - p0 - - - - - - - - - - From 5cc13ce2d4091d0ed3c8e7a5e72dd33d4b339b4e Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 01:20:08 +0200 Subject: [PATCH 090/172] update docs --- pyenzyme/equations/_chem.py | 61 ++++++++--- pyenzyme/equations/_math.py | 103 +++++++++++++++---- pyenzyme/fetcher/__init__.py | 9 ++ pyenzyme/rdf.py | 32 ++++-- pyenzyme/sbml/ldutils.py | 57 +++++++++-- pyenzyme/sbml/omex.py | 37 +++++-- pyenzyme/sbml/parser.py | 121 ++++++++++++++++------ pyenzyme/sbml/serializer.py | 189 ++++++++++++++++++++++++++++++----- pyenzyme/sbml/validation.py | 31 +++++- pyenzyme/sbml/versions/v1.py | 93 +++++++++++++++-- pyenzyme/sbml/versions/v2.py | 139 +++++++++++++++++++++++++- pyenzyme/tabular.py | 17 ++-- 12 files changed, 747 insertions(+), 142 deletions(-) create mode 100644 pyenzyme/fetcher/__init__.py diff --git a/pyenzyme/equations/_chem.py b/pyenzyme/equations/_chem.py index 0c3b74dd..f94e5e07 100644 --- a/pyenzyme/equations/_chem.py +++ b/pyenzyme/equations/_chem.py @@ -1,12 +1,19 @@ import re from enum import Enum -from pyenzyme.model import Equation, ReactionElement, Reaction +from pyenzyme import Equation, ReactionElement, Reaction ELEMENT_PATTERN = r"(\d*)\s?([A-Za-z\d]+)" class EquationSide(Enum): + """Enum representing the side of a chemical equation. + + Attributes: + LEFT: Represents the left side of the equation (reactants) with value -1. + RIGHT: Represents the right side of the equation (products) with value 1. + """ + LEFT = -1 RIGHT = 1 @@ -33,15 +40,18 @@ def build_reactions( Args: *equations (list[str]): A list of string representations of the reactions + modifiers (dict[str, list[str]], optional): A dictionary mapping reaction IDs to lists of modifier species IDs. + Defaults to an empty dictionary. Returns: list[Reaction]: A list of reaction objects Example: - >> reactions("2A --> B", "A + B <=> C") + >>> build_reactions("2A --> B", "A + B <=> C") + >>> build_reactions("2A --> B", modifiers={"r1": ["E"]}) Raises: - ValueError: If the reaction direction is not valid + ValueError: If the reaction direction is not valid or if a specified modifier reaction ID is not found AssertionError: If the species is not set """ @@ -75,24 +85,23 @@ def build_reaction( """Builds a reaction object from a string representation. Args: - id (str): The id of the reaction name (str): The name of the reaction - scheme (str): The equation of the reaction - modifiers (list[str], optional): A list of modifiers for the reaction. Defaults to []. + scheme (str): The equation of the reaction in string format (e.g., "2A --> B") + id (str | None, optional): The ID of the reaction. If None, the name is used as ID. Defaults to None. + kinetic_law (Equation | None, optional): The kinetic law associated with the reaction. Defaults to None. + modifiers (list[str], optional): A list of modifiers (e.g., enzyme IDs) for the reaction. Defaults to []. Returns: Reaction: A reaction object Example: - - >> reaction("R1", "Reaction 1", "2A --> B") # Irrversible reaction - >> reaction("R2", "Reaction 2", "A + B <=> C") # Reversible reaction - >> reaction("R2", "Reaction 2", "A + B <-> C") # Reversible reaction + >>> build_reaction("Reaction 1", "2A --> B", id="R1") # Irreversible reaction + >>> build_reaction("Reaction 2", "A + B <=> C", id="R2") # Reversible reaction + >>> build_reaction("Reaction 2", "A + B <-> C", id="R2") # Reversible reaction Raises: ValueError: If the reaction direction is not valid AssertionError: If the species is not set - """ if not id: @@ -117,10 +126,13 @@ def _extract_left_right(reaction: str) -> tuple[str, str, bool]: """Extracts the left and right side of a reaction string. Args: - reaction (str): The reaction string + reaction (str): The reaction string (e.g., "A + B -> C") Returns: - tuple[str, str, bool]: A tuple containing the left side, right side, and the reaction direction + tuple[str, str, bool]: A tuple containing the left side, right side, and whether the reaction is reversible + + Raises: + ValueError: If no valid reaction direction symbol is found in the equation """ if "->" in reaction: @@ -140,7 +152,15 @@ def _extract_left_right(reaction: str) -> tuple[str, str, bool]: def _extract_elements(side_string: str, side: EquationSide) -> list[ReactionElement]: - """Extracts the elements from a reaction string.""" + """Extracts the elements from a reaction string. + + Args: + side_string (str): The string representing one side of the reaction (e.g., "2A + B") + side (EquationSide): Enum indicating whether this is the left or right side of the equation + + Returns: + list[ReactionElement]: A list of ReactionElement objects representing the species and their stoichiometries + """ elements = [] for element in side_string.split("+"): element = re.search(ELEMENT_PATTERN, element.strip()) @@ -156,6 +176,19 @@ def _create_reaction_element( species: str, side: EquationSide, ) -> ReactionElement: + """Creates a ReactionElement object from stoichiometry, species ID, and equation side. + + Args: + stoich (str | float): The stoichiometric coefficient (can be a string or float) + species (str): The species ID + side (EquationSide): The side of the equation (LEFT or RIGHT) + + Returns: + ReactionElement: A ReactionElement object with the appropriate stoichiometry and species ID + + Raises: + AssertionError: If the species is not set + """ assert species, "Species must be set" if stoich == "": diff --git a/pyenzyme/equations/_math.py b/pyenzyme/equations/_math.py index 03db9fa8..038095b1 100644 --- a/pyenzyme/equations/_math.py +++ b/pyenzyme/equations/_math.py @@ -14,12 +14,25 @@ Parameter, ) -INIT_ASSIGNMENT_PATTERN = r"^[A-Za-z][A-Za-z\_]*" -DERIVATIVE_PATTERN = r"([A-Za-z0-9\_]+)\'\(t\)" -VARIABLE_PATTERN = r"([A-Za-z0-9\_]+)\'?\(t\)" -PARAMETER_PATTERN = r"([A-Za-z0-9\_]+)" -REPLACE_PATTERN = r"\(t\)|\'" -ELEMENTAL_FUNCTIONS = ["exp", "log", "sin", "cos", "tan", "sqrt", "abs"] +# Regular expression patterns for parsing different parts of equations +INIT_ASSIGNMENT_PATTERN = ( + r"^[A-Za-z][A-Za-z\_]*" # Pattern for initial assignment variables +) +DERIVATIVE_PATTERN = r"([A-Za-z0-9\_]+)\'\(t\)" # Pattern for derivatives like x'(t) +VARIABLE_PATTERN = ( + r"([A-Za-z0-9\_]+)\'?\(t\)" # Pattern for variables like x(t) or x'(t) +) +PARAMETER_PATTERN = r"([A-Za-z0-9\_]+)" # Pattern for parameter names +REPLACE_PATTERN = r"\(t\)|\'" # Pattern for replacing (t) or ' in variables +ELEMENTAL_FUNCTIONS = [ + "exp", + "log", + "sin", + "cos", + "tan", + "sqrt", + "abs", +] # Built-in mathematical functions def build_equations( @@ -29,16 +42,19 @@ def build_equations( ) -> list[Equation]: """Builds a list of Equation objects from a list of string representations. + This function takes multiple equation strings and converts each one into an Equation object. + It handles different types of equations including ODEs, assignments, and initial assignments. + Args: - *equations (list[str]): A list of string representations of the ODEs - unit_mapping: A dictionary mapping parameter names to their respective + *equations (list[str]): A list of string representations of the equations + unit_mapping: A dictionary mapping parameter names to their respective units enzmldoc (EnzymeMLDocument): The EnzymeMLDocument to add the parameters to Returns: - list[ODE]: A list of ODE objects + list[Equation]: A list of Equation objects Example: - >> build_equations("s1'(t) = 2 * s2(t)", "s2'(t) = 3 * s1(t)") + >>> build_equations("s1'(t) = 2 * s2(t)", "s2'(t) = 3 * s1(t)") """ if unit_mapping is None: @@ -61,25 +77,26 @@ def build_equation( enzmldoc: EnzymeMLDocument, unit_mapping: dict[str, str] | None = None, ) -> Equation: - """Builds an equation object from a string + """Builds an equation object from a string representation. - This function takes an equation string and converts it into an ODE object. - The equation string should be in the form of "s1'(t) = 2 * s2(t)" where - there is a left and right side of the equation. + This function takes an equation string and converts it into an Equation object. + It identifies the equation type (ODE, assignment, or initial assignment) based on the pattern, + extracts variables and parameters, and creates the appropriate Equation object. Args: - equation (str): The equation to be converted into an ODE object - unit_mapping: A dictionary mapping parameter names to their respective units + equation (str): The equation to be converted into an Equation object enzmldoc (EnzymeMLDocument): The EnzymeMLDocument to add the parameters to + unit_mapping: A dictionary mapping parameter names to their respective units Returns: - ODE: The ODE object + Equation: The created Equation object Example: + >>> eq = "s1'(t) = 2 * s2(t)" + >>> equation = build_equation(eq, enzmldoc) - >> eq = "s1'(t) = 2 * s2(t)" - >> ode = ode(eq) - + Raises: + ValueError: If the equation type is not recognized or if the equation is malformed """ if unit_mapping is None: @@ -137,6 +154,17 @@ def build_equation( def _extract_sides(equation: str) -> tuple[str, str]: + """Extracts the left and right sides of an equation. + + Args: + equation (str): The equation string to parse + + Returns: + tuple[str, str]: A tuple containing the left and right sides of the equation + + Raises: + ValueError: If the equation is missing a left or right side + """ if "=" not in equation: # Will be handled as a kinetic law return "", equation @@ -152,6 +180,17 @@ def _extract_sides(equation: str) -> tuple[str, str]: def _clean_and_trim(eq: str) -> str: + """Cleans and trims an equation string by removing time dependencies. + + This function removes the time dependency notation (t) from variables + and simplifies the equation representation. + + Args: + eq (str): The equation string to clean + + Returns: + str: The cleaned equation string + """ vars = re.findall(VARIABLE_PATTERN, eq) for var in vars: var = var.replace("'", "") @@ -162,10 +201,27 @@ def _clean_and_trim(eq: str) -> str: def _create_parameter(name: str, unit: UnitDefinition | None) -> Parameter: + """Creates a Parameter object with the given name and unit. + + Args: + name (str): The name of the parameter + unit (UnitDefinition | None): The unit of the parameter + + Returns: + Parameter: The created Parameter object + """ return Parameter(id=name, name=name, symbol=name, unit=unit) def _create_variable(name: str) -> Variable: + """Creates a Variable object with the given name. + + Args: + name (str): The name of the variable + + Returns: + Variable: The created Variable object + """ return Variable(id=name, name=name, symbol=name) @@ -174,8 +230,13 @@ def _add_to_parameters( name: str, unit: str | UnitDefinition | None, ): - """Adds a parameter to the EnzymeMLDocument""" + """Adds a parameter to the EnzymeMLDocument if it doesn't already exist. + Args: + enzmldoc (EnzymeMLDocument): The document to add the parameter to + name (str): The name of the parameter + unit (str | UnitDefinition | None): The unit of the parameter + """ add_logger("ENZML") if enzmldoc.filter_parameters(name=name): diff --git a/pyenzyme/fetcher/__init__.py b/pyenzyme/fetcher/__init__.py new file mode 100644 index 00000000..8bfb9ac6 --- /dev/null +++ b/pyenzyme/fetcher/__init__.py @@ -0,0 +1,9 @@ +from .chebi import fetch_chebi_to_small_molecule +from .uniprot import fetch_uniprot_to_protein +from .rhea import fetch_rhea_to_reaction + +__all__ = [ + "fetch_chebi_to_small_molecule", + "fetch_uniprot_to_protein", + "fetch_rhea_to_reaction", +] diff --git a/pyenzyme/rdf.py b/pyenzyme/rdf.py index d608b3ed..51e78b4f 100644 --- a/pyenzyme/rdf.py +++ b/pyenzyme/rdf.py @@ -1,33 +1,53 @@ import rdflib +from loguru import logger def to_rdf_xml(*objs, keep_header: bool = False): - """Converts a JSON-LD string to RDF/XML format. + """Converts PyEnzyme objects to RDF/XML format. + + This function takes one or more PyEnzyme objects, converts them to JSON-LD format, + and then transforms the JSON-LD into RDF/XML. It handles the creation of proper + linked data identifiers and excludes properties that are references to other objects. Args: - json_ld (str): The JSON-LD string to convert. - keep_header (bool, optional): Whether to keep the XML header. Defaults to False. + *objs: One or more PyEnzyme objects to convert to RDF/XML. + keep_header (bool, optional): Whether to keep the XML header in the output. + Defaults to False. + Returns: - str: The RDF/XML string. - """ + str: The RDF/XML representation of the input objects. + Example: + >>> protein = pe.Protein(id="protein1", name="Example Protein") + >>> rdf_xml = to_rdf_xml(protein) + >>> print(rdf_xml) + """ graph = rdflib.Graph() for obj in objs: if not hasattr(obj, "ld_id"): - obj.ld_id = f"http://enzymeml.org/v2/{obj.__class__.__name__}/{obj.ld_id}" + logger.debug( + f"Creating linked data ID for {obj.__class__.__name__} {obj.id}" + ) + obj.ld_id = f"http://enzymeml.org/v2/{obj.__class__.__name__}/{obj.id}" + + # Exclude properties that are references to other objects (indicated by @id type) to_exclude = { key for key, value in obj.ld_context.items() if isinstance(value, dict) and value.get("@type", None) == "@id" } + + # Parse the JSON-LD representation of the object into the RDF graph graph.parse( data=obj.model_dump_json(by_alias=True, exclude=to_exclude), format="json-ld", ) + # Serialize the graph to RDF/XML format rdf_xml = graph.serialize(format="xml") + # Optionally remove the XML header if not keep_header: return "\n".join(rdf_xml.split("\n")[1:]) else: diff --git a/pyenzyme/sbml/ldutils.py b/pyenzyme/sbml/ldutils.py index 4425e00e..e61a54a7 100644 --- a/pyenzyme/sbml/ldutils.py +++ b/pyenzyme/sbml/ldutils.py @@ -4,8 +4,19 @@ def parse_sbml_rdf_annotation(sbml_obj, enzml_obj): - """Parse the RDF annotation of an SBML object.""" + """ + Parse the RDF annotation of an SBML object and map it to an EnzymeML object. + This function extracts RDF annotations from SBML objects, converts them to JSON-LD, + and maps the resulting data to EnzymeML objects. + + Args: + sbml_obj: The SBML object containing RDF annotations. + enzml_obj: The EnzymeML object to which the annotations will be mapped. + + Returns: + None: The function modifies the enzml_obj in place. + """ annotation = sbml_obj.getAnnotationString() if not annotation: @@ -16,8 +27,19 @@ def parse_sbml_rdf_annotation(sbml_obj, enzml_obj): def _rdf_annotation_to_json_ld(annotation: str): - """Convert an SBML annotation to JSON-LD.""" + """ + Convert an SBML RDF annotation to JSON-LD format. + + This function parses an XML annotation string, extracts the RDF element, + and converts it to JSON-LD format for easier processing. + Args: + annotation (str): The XML annotation string from an SBML object. + + Returns: + list | None: A list containing the JSON-LD representation of the RDF data, + or None if no RDF element is found. + """ # Parse the RDF annotation and extract the root # RDF element to create an RDF graph root = ET.fromstring(annotation) @@ -34,8 +56,19 @@ def _rdf_annotation_to_json_ld(annotation: str): def _map_json_ld_to_obj(obj, header: list | None): - """Map JSON-LD header to an object.""" + """ + Map JSON-LD header data to an EnzymeML object. + + This function extracts context, ID, and type information from JSON-LD data + and assigns it to the corresponding attributes of an EnzymeML object. + Args: + obj: The EnzymeML object to which the JSON-LD data will be mapped. + header (list | None): The JSON-LD data as a list, or None if no data is available. + + Returns: + None: The function modifies the obj in place. + """ if header is None: return @@ -51,12 +84,21 @@ def _map_json_ld_to_obj(obj, header: list | None): def _sync_context_prefixes(obj): - """Sync the context prefixes of an object.""" + """ + Synchronize the context prefixes of an EnzymeML object. + + This function creates a consistent representation of IRIs and prefixes + across the context, type, and ID attributes of an EnzymeML object. + It replaces full IRIs with their corresponding prefixed versions. + Args: + obj: The EnzymeML object whose context prefixes will be synchronized. + + Returns: + None: The function modifies the obj in place. + """ inverse_prefixes = { - value: key - for key, value in obj.ld_context.items() - if isinstance(value, str) + value: key for key, value in obj.ld_context.items() if isinstance(value, str) } # Convert context @@ -73,7 +115,6 @@ def _sync_context_prefixes(obj): # Convert types for i, type_ in enumerate(obj.ld_type): for iri, prefix in inverse_prefixes.items(): - if type_.startswith(iri): obj.ld_type[i] = type_.replace(iri, f"{prefix}:") break diff --git a/pyenzyme/sbml/omex.py b/pyenzyme/sbml/omex.py index 5db9af5d..636231dc 100644 --- a/pyenzyme/sbml/omex.py +++ b/pyenzyme/sbml/omex.py @@ -18,6 +18,7 @@ class FileURI(enum.Enum): Attributes: CSV (str): URI for CSV files. TSV (str): URI for TSV files. + TSV_LONG (str): URI for tab-separated values files (long format). """ CSV = "/csv" @@ -91,16 +92,20 @@ def create_sbml_omex( out: Path, ) -> None: """ - Create an OMEX archive with the given SBML and data files. + Create an OMEX archive with the given SBML document and optional data files. + + This function creates a Combined OMEX archive that packages an SBML model with + associated experimental data. The SBML document is set as the master file in the + archive, and any provided data is saved as a TSV file. Args: - sbml_doc (str): The SBML document to include in the archive. - data (pd.DataFrame | None): The data to include in the archive. - out (Path): The path to save the OMEX archive. + sbml_doc (str): The SBML document content to include in the archive. + data (pd.DataFrame | None): Optional experimental data to include in the archive. + If provided, it will be saved as a TSV file. + out (Path): The path where the OMEX archive will be saved. Returns: - Omex: The created OMEX archive - + None: The function saves the OMEX archive to the specified path but doesn't return anything. """ with tempfile.TemporaryDirectory() as temp_dir: @@ -132,17 +137,29 @@ def create_sbml_omex( omex.to_omex(out) -def read_sbml_omex(path: Path) -> tuple[TextIO, dict[str, pd.DataFrame]]: +def read_sbml_omex(path: Path | str) -> tuple[TextIO, dict[str, pd.DataFrame]]: """ Reads an OMEX archive and extracts the SBML document and associated data files. + This function opens an OMEX archive, identifies the master SBML file, and extracts + any supported data files (CSV, TSV) into pandas DataFrames. The function validates + that the master file is in SBML format. + Args: - path (Path): The path to the OMEX archive. + path (Path | str): The path to the OMEX archive file. Returns: - tuple[str, dict[str, pd.DataFrame]]: A tuple containing the SBML document as a string and a dictionary - where keys are file locations and values are dataframes of the data files. + tuple[TextIO, dict[str, pd.DataFrame]]: A tuple containing: + - A file handle to the SBML document + - A dictionary mapping file locations to pandas DataFrames containing the data files + + Raises: + ValueError: If no master file is found in the OMEX archive. + AssertionError: If the master file is not in SBML format. """ + if isinstance(path, str): + path = Path(path) + omex = Omex.from_omex(path) try: diff --git a/pyenzyme/sbml/parser.py b/pyenzyme/sbml/parser.py index 63726405..afe85085 100644 --- a/pyenzyme/sbml/parser.py +++ b/pyenzyme/sbml/parser.py @@ -8,7 +8,6 @@ import libsbml as sbml # type: ignore import pandas as pd from loguru import logger -import rich # type: ignore import pyenzyme as pe @@ -25,6 +24,11 @@ def read_sbml(cls, path: Path | str): """ Reads an SBML file and initializes an EnzymeML document. + This function reads an SBML file from an OMEX archive, extracts all relevant + information, and creates an EnzymeML document with the extracted data. It handles + different versions of the EnzymeML format and maps SBML elements to their + corresponding EnzymeML entities. + Args: cls: The class to instantiate the EnzymeML document. path (Path | str): The path to the OMEX archive containing the SBML file. @@ -99,6 +103,9 @@ def _init_and_read_sbml(handler: IO): """ Initialize the SBML reader and read the SBML document. + This function creates an SBML reader, reads the SBML document from the provided + file handler, and returns the model contained in the document. + Args: handler (IO): The file handler for the SBML document. @@ -127,15 +134,18 @@ def _parse_unit(unit: sbml.UnitDefinition): """ Parse a unit definition from an SBML model into an EnzymeML unit definition. + This function extracts information from an SBML unit definition and creates + an equivalent EnzymeML unit definition with the same properties. + Args: unit (sbml.UnitDefinition): The SBML unit definition. Returns: - An EnzymeML unit definition. + An EnzymeML unit definition with the same ID, name, and base units. """ enzml_unit = pe.UnitDefinition( - id=unit.getName(), - name=unit.getName(), + id=unit.getId(), # type: ignore + name=unit.getName(), # type: ignore ) for base_unit in unit.getListOfUnits(): @@ -159,11 +169,17 @@ def _parse_species(species: sbml.Species): """ Parse a species from an SBML model into EnzymeML small molecule or protein. + This function determines the type of species based on its SBO term and calls + the appropriate parsing function to create the corresponding EnzymeML entity. + Args: species (sbml.Species): The SBML species. Returns: - An EnzymeML small molecule, protein, or complex. + An EnzymeML small molecule, protein, or complex based on the SBO term. + + Logs: + Error: If the SBO term is unknown or not supported. """ sbo_term = species.getSBOTermID() @@ -183,11 +199,16 @@ def _parse_small_molecule(species: sbml.Species): """ Parse a species from an SBML model into an EnzymeML small molecule. + This function extracts information from an SBML species with an SBO term + indicating it's a small molecule and creates an equivalent EnzymeML small + molecule entity. + Args: - species (sbml.Species): The SBML species. + species (sbml.Species): The SBML species with SBO term for small molecule. Returns: - An EnzymeML small molecule. + An EnzymeML small molecule with properties extracted from the SBML species + and its annotations. """ parsed = version.parse_annotation(annotation=species.getAnnotationString()) annots = version.extract(parsed, "small_molecule") @@ -209,11 +230,15 @@ def _parse_protein(species: sbml.Species): """ Parse a species from an SBML model into an EnzymeML protein. + This function extracts information from an SBML species with an SBO term + indicating it's a protein and creates an equivalent EnzymeML protein entity. + Args: - species (sbml.Species): The SBML species. + species (sbml.Species): The SBML species with SBO term for protein. Returns: - An EnzymeML protein. + An EnzymeML protein with properties extracted from the SBML species + and its annotations. """ parsed = version.parse_annotation(annotation=species.getAnnotationString()) annots = version.extract(parsed, "protein") @@ -235,11 +260,15 @@ def _parse_complex(species: sbml.Species): """ Parse a species from an SBML model into an EnzymeML complex. + This function extracts information from an SBML species with an SBO term + indicating it's a complex and creates an equivalent EnzymeML complex entity. + Args: - species (sbml.Species): The SBML species. + species (sbml.Species): The SBML species with SBO term for complex. Returns: - An EnzymeML complex. + An EnzymeML complex with properties extracted from the SBML species + and its annotations. """ parsed = version.parse_annotation(annotation=species.getAnnotationString()) annots = version.extract(parsed, "complex") @@ -260,11 +289,17 @@ def _parse_vessel(compartment: sbml.Compartment): """ Parse a compartment from an SBML model into an EnzymeML vessel. + This function extracts information from an SBML compartment and creates + an equivalent EnzymeML vessel entity. + Args: compartment (sbml.Compartment): The SBML compartment. - Ret - print(units[compartment.getUnits()]) + Returns: + An EnzymeML vessel with properties extracted from the SBML compartment. + + Note: + The function prints the unit of the compartment for debugging purposes. """ vessel = pe.Vessel( id=compartment.getId(), @@ -282,11 +317,18 @@ def _parse_parameter(parameter: sbml.Parameter): """ Parse a parameter from an SBML model into an EnzymeML parameter. + This function extracts information from an SBML parameter and creates + an equivalent EnzymeML parameter entity. + Args: parameter (sbml.Parameter): The SBML parameter. Returns: - An EnzymeML parameter. + An EnzymeML parameter with properties extracted from the SBML parameter + and its annotations. + + Note: + The function prints the parameter annotation string for debugging purposes. """ print("PARAMETER", parameter.getAnnotationString()) parsed = version.parse_annotation(annotation=parameter.getAnnotationString()) @@ -309,20 +351,23 @@ def _parse_equation(rule: sbml.Rule, rule_type: pe.EquationType): """ Parse a rule from an SBML model into an EnzymeML equation. + This function extracts information from an SBML rule and creates an equivalent + EnzymeML equation entity based on the specified equation type. + Args: rule (sbml.Rule): The SBML rule. - rule_type (pe.EquationType): The type of the equation. + rule_type (pe.EquationType): The type of the equation (INITIAL_ASSIGNMENT, ODE, or RATE_LAW). Returns: - An EnzymeML equation. + An EnzymeML equation with properties extracted from the SBML rule. Raises: - ValueError: If the rule type is unknown. + ValueError: If the rule type is unknown or not supported. """ match rule_type: case pe.EquationType.INITIAL_ASSIGNMENT: equation = sbml.formulaToString(rule.getMath()) - species_id = rule.getSymbol() + species_id = rule.getSymbol() # type: ignore case pe.EquationType.ODE: equation = rule.getFormula() species_id = rule.getVariable() @@ -352,9 +397,12 @@ def _map_v1_variables(annots: dict, equation: str): """ Map variables for version 1 of the EnzymeML format. + This function identifies variables in the equation string that correspond to + species in the EnzymeML document and adds them to the annotations. + Args: - annots (dict): The annotations. - equation (str): The equation string. + annots (dict): The annotations dictionary to update with variables. + equation (str): The equation string to search for variables. """ if "variables" not in annots: annots["variables"] = [] @@ -379,11 +427,14 @@ def _parse_reaction(reaction: sbml.Reaction): """ Parse a reaction from an SBML model into an EnzymeML reaction. + This function extracts information from an SBML reaction, including reactants, + products, modifiers, and kinetic law, and creates an equivalent EnzymeML reaction. + Args: reaction (sbml.Reaction): The SBML reaction. Returns: - An EnzymeML reaction. + An EnzymeML reaction with properties extracted from the SBML reaction. """ # Get the reactants and products products = [_parse_element(product, 1) for product in reaction.getListOfProducts()] @@ -398,7 +449,7 @@ def _parse_reaction(reaction: sbml.Reaction): kinetic_law = _parse_equation(reaction.getKineticLaw(), pe.EquationType.RATE_LAW) # Create the EnzymeML reaction - reaction = pe.Reaction( + enzml_reaction = pe.Reaction( id=reaction.getId(), name=reaction.getName(), species=reactants + products, @@ -406,19 +457,22 @@ def _parse_reaction(reaction: sbml.Reaction): kinetic_law=kinetic_law, ) - return reaction + return enzml_reaction def _parse_element(species, direction: int): """ Parse a species element from an SBML model into an EnzymeML reaction element. + This function creates an EnzymeML reaction element from an SBML species reference, + applying the specified direction to determine if it's a reactant or product. + Args: - species: The SBML species element. + species: The SBML species element (SpeciesReference). direction (int): The direction of the reaction (1 for product, -1 for reactant). Returns: - An EnzymeML reaction element. + An EnzymeML reaction element with the species ID and stoichiometry. """ return pe.ReactionElement( species_id=species.getSpecies(), @@ -434,18 +488,20 @@ def _parse_measurements( """ Parse measurements from an SBML model into EnzymeML measurements. + This function extracts measurement data from the SBML model based on the + EnzymeML version and creates EnzymeML measurement objects. + Args: model (sbml.Model): The SBML model. list_of_reactions (sbml.ListOfReactions): The list of reactions in the SBML model. - meas_data (dict[str, pd.DataFrame]): The measurement data. + meas_data (dict[str, pd.DataFrame]): The measurement data extracted from the OMEX archive. Returns: - EnzymeML measurements. + A list of EnzymeML measurements. Raises: - ValueError: If the version is unknown. + ValueError: If the EnzymeML version is unknown or not supported. """ - match version.version: case SupportedVersions.VERSION1: parsed = version.parse_annotation(list_of_reactions.getAnnotationString()) @@ -461,13 +517,16 @@ def _parse_measurements( def _check_nan(value: float): """ - Check if a value is NaN. + Check if a value is NaN and return None if it is. + + This utility function checks if a floating-point value is NaN (Not a Number) + and returns None in that case, otherwise it returns the original value. Args: value (float): The value to check. Returns: - The value if it is not NaN, otherwise None. + float | None: The original value if it is not NaN, otherwise None. """ if math.isnan(value): return None diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index fab41d40..2ce10c28 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -11,6 +11,7 @@ import pyenzyme as pe import pyenzyme.tools as tools + from pyenzyme import rdf from pyenzyme import xmlutils as _xml from pyenzyme.logging import add_logger @@ -18,9 +19,8 @@ from pyenzyme.sbml.validation import validate_sbml_export from pyenzyme.sbml.versions import v2 from pyenzyme.tabular import to_pandas -from pyenzyme.units.units import UnitDefinition +from pyenzyme import UnitDefinition -MAPPINGS = tools.read_static_file("pyenzyme.sbml", "mappings.toml") NSMAP = {"enzymeml": "https://www.enzymeml.org/v2"} @@ -93,7 +93,7 @@ def to_sbml( _add_parameter(parameter) if out is None: - return libsbml.writeSBMLToString(sbmldoc), to_pandas(doc) + return libsbml.writeSBMLToString(sbmldoc), to_pandas(doc) # type: ignore if isinstance(out, str): out = Path(out) @@ -114,6 +114,16 @@ def to_sbml( def convert_unit_classes(doc: pe.EnzymeMLDocument, custom_units: list[UnitDefinition]): + """ + Converts unit classes from the EnzymeML document to custom units. + + This function extends the list of custom units with unique unit definitions + found in the EnzymeML document. + + Args: + doc (pe.EnzymeMLDocument): The EnzymeML document containing units. + custom_units (list[UnitDefinition]): The list of custom units to extend. + """ custom_units.extend( [ pe.UnitDefinition(**unit.model_dump()) @@ -124,8 +134,12 @@ def convert_unit_classes(doc: pe.EnzymeMLDocument, custom_units: list[UnitDefini def _add_unit_definitions(unit: UnitDefinition): - """Add unit definitions to the SBML model.""" + """ + Add unit definitions to the SBML model. + Args: + unit (UnitDefinition): The unit definition to add to the SBML model. + """ sbml_unitdef = model.createUnitDefinition() sbml_unitdef.setId(unit.id) @@ -134,7 +148,7 @@ def _add_unit_definitions(unit: UnitDefinition): for base_unit in unit.base_units: sbml_unit = sbml_unitdef.createUnit() sbml_unit.initDefaults() - sbml_unit.setKind(_get_sbml_kind(base_unit.kind)) + sbml_unit.setKind(_get_sbml_kind(base_unit.kind)) # type: ignore sbml_unit.setExponent(base_unit.exponent) if base_unit.scale: @@ -144,8 +158,15 @@ def _add_unit_definitions(unit: UnitDefinition): def _add_vessel(vessel: pe.Vessel): - """Add vessels to the SBML model.""" + """ + Add vessels to the SBML model as compartments. + + Args: + vessel (pe.Vessel): The vessel to add to the SBML model. + Raises: + ValueError: If the vessel's unit is not found in the available units. + """ compartment = model.createCompartment() compartment.initDefaults() compartment.setId(vessel.id) @@ -162,8 +183,12 @@ def _add_vessel(vessel: pe.Vessel): def _add_small_mol(small_mol: pe.SmallMolecule): - """Add small molecules to the SBML model.""" + """ + Add small molecules to the SBML model as species. + Args: + small_mol (pe.SmallMolecule): The small molecule to add to the SBML model. + """ species = model.createSpecies() species.initDefaults() species.setId(small_mol.id) @@ -189,8 +214,12 @@ def _add_small_mol(small_mol: pe.SmallMolecule): def _add_protein(protein: pe.Protein): - """Add proteins to the SBML model.""" + """ + Add proteins to the SBML model as species. + Args: + protein (pe.Protein): The protein to add to the SBML model. + """ species = model.createSpecies() species.initDefaults() species.setId(protein.id) @@ -218,8 +247,12 @@ def _add_protein(protein: pe.Protein): def _add_complex(complex_: pe.Complex): - """Add complexes to the SBML model.""" + """ + Add complexes to the SBML model as species. + Args: + complex_ (pe.Complex): The complex to add to the SBML model. + """ species = model.createSpecies() species.initDefaults() species.setId(complex_.id) @@ -236,13 +269,19 @@ def _add_complex(complex_: pe.Complex): def _get_first_meas_init_conc(species: pe.SmallMolecule | pe.Protein): - """Extracts the initial concentration of a species from the first measurement + """ + Extracts the initial concentration of a species from the first measurement. SBML requires the initial concentration to be set for species that are measured, even if there are multiple measurements. This function extracts the initial concentration from the first measurement of the species to fulfill this requirement. - """ + Args: + species (pe.SmallMolecule | pe.Protein): The species to get the initial concentration for. + + Returns: + float | None: The initial concentration of the species or None if not found. + """ if not doc.measurements: return None @@ -256,8 +295,17 @@ def _get_first_meas_init_conc(species: pe.SmallMolecule | pe.Protein): def _add_reaction(reaction: pe.Reaction, index: int): - """Add reactions to the SBML model.""" + """ + Add reactions to the SBML model. + Args: + reaction (pe.Reaction): The reaction to add to the SBML model. + index (int): The index of the reaction in the EnzymeML document. + + Raises: + ValueError: If the stoichiometry of a species is 0. + AssertionError: If the stoichiometry of a species is not set. + """ sbml_reaction = model.createReaction() sbml_reaction.initDefaults() sbml_reaction.setName(reaction.name) @@ -287,8 +335,13 @@ def _add_reaction(reaction: pe.Reaction, index: int): def _add_rate_law(equation: pe.Equation, reac: libsbml.Reaction): - """Add rate laws to the SBML Reaction.""" + """ + Add rate laws to the SBML Reaction. + Args: + equation (pe.Equation): The equation representing the rate law. + reac (libsbml.Reaction): The SBML reaction to add the rate law to. + """ law = reac.createKineticLaw() law.setMath(libsbml.parseL3Formula(equation.equation)) @@ -305,7 +358,20 @@ def _get_create_fun( reaction: libsbml.Reaction, species: str, ) -> Callable[[], libsbml.SpeciesReference]: - """Helper function to retrieve the appropriate create function""" + """ + Helper function to retrieve the appropriate create function based on stoichiometry. + + Args: + stoichiometry (float): The stoichiometry of the species. + reaction (libsbml.Reaction): The SBML reaction. + species (str): The species ID. + + Returns: + Callable[[], libsbml.SpeciesReference]: The appropriate create function. + + Raises: + ValueError: If the stoichiometry is 0. + """ if stoichiometry > 0: return reaction.createProduct elif stoichiometry < 0: @@ -315,8 +381,12 @@ def _get_create_fun( def _add_parameter(parameter: pe.Parameter): - """Add parameters to the SBML model.""" + """ + Add parameters to the SBML model. + Args: + parameter (pe.Parameter): The parameter to add to the SBML model. + """ sbml_param = model.createParameter() sbml_param.setId(parameter.id) sbml_param.setName(parameter.name) @@ -342,8 +412,15 @@ def _add_parameter(parameter: pe.Parameter): def _add_equation(equation: pe.Equation): - """Add equations to the SBML model.""" + """ + Add equations to the SBML model. + + Args: + equation (pe.Equation): The equation to add to the SBML model. + Raises: + ValueError: If the equation type is not supported. + """ if equation.equation_type == pe.EquationType.ODE: sbml_rule = model.createRateRule() # type: ignore sbml_rule.setVariable(equation.species_id) @@ -367,8 +444,12 @@ def _add_equation(equation: pe.Equation): def _add_measurements(measurements: list[pe.Measurement]): - """Adds measurements to the SBML model.""" + """ + Adds measurements to the SBML model. + Args: + measurements (list[pe.Measurement]): The measurements to add to the SBML model. + """ annot = v2.DataAnnot(file="./data.tsv") for measurement in measurements: @@ -398,7 +479,7 @@ def _add_measurements(measurements: list[pe.Measurement]): species_id=species_data.species_id, initial=species_data.initial, type=species_data.data_type.name, - unit=_get_unit_id(species_data.data_unit), + unit=_get_unit_id(species_data.data_unit), # type: ignore ) meas_annot.species_data.append(species_annot) @@ -414,8 +495,17 @@ def _create_condition_element( temperature: float | None, temperature_unit: UnitDefinition | None, ): - """Set the conditions of the reaction in the SBML model.""" + """ + Set the conditions of the reaction in the SBML model. + Args: + ph (float | None): The pH value. + temperature (float | None): The temperature value. + temperature_unit (UnitDefinition | None): The unit of the temperature. + + Returns: + ET.Element: The XML element representing the conditions. + """ element = ET.Element(f"{{{NSMAP['enzymeml']}}}conditions") mappings = { "ph": {"@value": ph}, @@ -431,7 +521,19 @@ def _create_condition_element( return element -def _get_sbml_kind(unit_type: pe.UnitType): +def _get_sbml_kind(unit_type): + """ + Convert a UnitType to the corresponding SBML unit kind. + + Args: + unit_type (UnitType): The unit type to convert. + + Returns: + int: The SBML unit kind. + + Raises: + ValueError: If the unit type is not found in libsbml. + """ try: return getattr(libsbml, f"UNIT_KIND_{unit_type.name}") except AttributeError: @@ -439,8 +541,18 @@ def _get_sbml_kind(unit_type: pe.UnitType): def _get_unit_id(unit: pe.UnitDefinition | None) -> str | None: - """Helper function to get the unit from the list of units.""" + """ + Helper function to get the unit ID from the list of units. + + Args: + unit (pe.UnitDefinition | None): The unit to find the ID for. + Returns: + str | None: The ID of the unit or None if the unit is None. + + Raises: + ValueError: If the unit is not found in the list of units. + """ if unit is None: return None @@ -452,14 +564,26 @@ def _get_unit_id(unit: pe.UnitDefinition | None) -> str | None: def _same_unit(unit1: pe.UnitDefinition, unit2: pe.UnitDefinition) -> bool: - """Check if two units are the same.""" + """ + Check if two units are the same by comparing their model dumps. + + Args: + unit1 (pe.UnitDefinition): The first unit. + unit2 (pe.UnitDefinition): The second unit. + Returns: + bool: True if the units are the same, False otherwise. + """ return unit1.model_dump(exclude={"id"}) == unit2.model_dump(exclude={"id"}) def _validate_sbml(sbmldoc: libsbml.SBMLDocument) -> None: - """Validate the SBML document using the libSBML function.""" + """ + Validate the SBML document using the libSBML function. + Args: + sbmldoc (libsbml.SBMLDocument): The SBML document to validate. + """ sbml_errors = sbmldoc.checkConsistency() if sbml_errors and not print_warnings: @@ -481,6 +605,15 @@ def _validate_sbml(sbmldoc: libsbml.SBMLDocument) -> None: def _assign_ids_to_units(doc_units: List[UnitDefinition]) -> List[UnitDefinition]: + """ + Assign unique IDs to units. + + Args: + doc_units (List[UnitDefinition]): The list of units to assign IDs to. + + Returns: + List[UnitDefinition]: The list of units with assigned IDs. + """ ids = [unit.id for unit in doc_units if unit.id] unique_units = [] @@ -497,7 +630,15 @@ def _assign_ids_to_units(doc_units: List[UnitDefinition]) -> List[UnitDefinition def _id_generator(ids: list[str]): - """Generator for creating unique IDs that are not in unit_ids.""" + """ + Generator for creating unique IDs that are not in unit_ids. + + Args: + ids (list[str]): The list of existing IDs. + + Yields: + str: A unique ID. + """ i = 0 while True: potential_id = f"u{i}" diff --git a/pyenzyme/sbml/validation.py b/pyenzyme/sbml/validation.py index 7df62781..c99ebc6c 100644 --- a/pyenzyme/sbml/validation.py +++ b/pyenzyme/sbml/validation.py @@ -32,6 +32,12 @@ def _check_consistent_vessel_ids(doc: pe.EnzymeMLDocument) -> bool: SBML documents require that all species have a vessel id that exists in the document and this validator checks for that. Otherwise, an error message will be logged and the validity set to False. + + Args: + doc (pe.EnzymeMLDocument): The EnzymeML document to validate. + + Returns: + bool: True if all species have valid vessel IDs, False otherwise. """ vessel_ids = {v.id for v in doc.vessels} @@ -63,6 +69,12 @@ def _check_equation_either_rule_or_reaction(doc: pe.EnzymeMLDocument) -> bool: there cannot be a rate equation and reaction element at the same time, since the latter is used to derive the former. This validator checks for that and logs an error message if the document is invalid. + + Args: + doc (pe.EnzymeMLDocument): The EnzymeML document to validate. + + Returns: + bool: True if all species have either rules or reactions but not both, False otherwise. """ species_w_rate = { @@ -86,8 +98,15 @@ def _check_equation_either_rule_or_reaction(doc: pe.EnzymeMLDocument) -> bool: return all(result) -def _check_units_exist(doc: pe.EnzymeMLDocument): - """This validator checks whether all units in the document are defined in the SBML standard.""" +def _check_units_exist(doc: pe.EnzymeMLDocument) -> bool: + """This validator checks whether all units in the document are defined in the SBML standard. + + Args: + doc (pe.EnzymeMLDocument): The EnzymeML document to validate. + + Returns: + bool: True if all mandatory objects have units defined, False otherwise. + """ mandatory_unit_objects = [ *tools.extract(obj=doc, target=pe.MeasurementData), @@ -121,12 +140,18 @@ def _check_units_exist(doc: pe.EnzymeMLDocument): return all(result) -def _check_assigned_params_are_not_constant(doc: pe.EnzymeMLDocument): +def _check_assigned_params_are_not_constant(doc: pe.EnzymeMLDocument) -> bool: """This validator checks whether all assigned parameters are not constant. If a parameter is assigned a value through an assignment rule, it should not be constant. This validator checks for that and logs a warning if a parameter is constant but has an assignment rule and sets the parameter to non-constant. + + Args: + doc (pe.EnzymeMLDocument): The EnzymeML document to validate. + + Returns: + bool: True if all assigned parameters are valid, False otherwise. """ assignments = doc.filter_equations(equation_type=pe.EquationType.ASSIGNMENT) diff --git a/pyenzyme/sbml/versions/v1.py b/pyenzyme/sbml/versions/v1.py index 7816ba28..bbb81906 100644 --- a/pyenzyme/sbml/versions/v1.py +++ b/pyenzyme/sbml/versions/v1.py @@ -14,6 +14,21 @@ class V1Annotation( tag="annotation", search_mode="unordered", ): + """ + Represents the top-level annotation in the EnzymeML v1 format. + + This class contains all the different types of annotations that can be + attached to elements in an SBML model using EnzymeML v1 format. + + Attributes: + small_molecule (ReactantAnnot | None): Annotation for small molecules. + protein (ProteinAnnot | None): Annotation for proteins. + complex (ComplexAnnot | None): Annotation for complexes. + data (DataAnnot | None): Annotation for experimental data. + parameter (ParameterAnnot | None): Annotation for parameters. + variables (VariableAnnot | None): Annotation for variables. + """ + small_molecule: ReactantAnnot | None = element( tag="smallMolecule", default=None, @@ -60,6 +75,9 @@ class ParameterAnnot( """ Represents the annotation for a parameter in the EnzymeML format. + This class contains information about parameter bounds and initial values + that can be used in parameter estimation or simulation. + Attributes: initial (float | None): The initial value of the parameter. upper (float | None): The upper bound of the parameter. @@ -79,6 +97,9 @@ class ComplexAnnot( """ Represents the annotation for a complex in the EnzymeML format. + A complex is formed by multiple participants (species) that interact + with each other. + Attributes: participants (list[str]): A list of participants in the complex. """ @@ -94,6 +115,9 @@ class ReactantAnnot( """ Represents the annotation for a reactant in the EnzymeML format. + This class contains chemical identifiers for small molecules that + participate in reactions. + Attributes: inchi (str | None): The InChI of the reactant. smiles (str | None): The SMILES representation of the reactant. @@ -113,6 +137,9 @@ class ProteinAnnot( """ Represents the annotation for a protein in the EnzymeML format. + This class contains biological identifiers and properties of proteins, + particularly enzymes that catalyze reactions. + Attributes: sequence (str | None): The amino acid sequence of the protein. ecnumber (str | None): The EC number of the protein. @@ -134,7 +161,10 @@ class DataAnnot( nsmap={"": "http://sbml.org/enzymeml/version2"}, ): """ - Represents the annotation for data in the EnzymeML format. + Represents the annotation for experimental data in the EnzymeML format. + + This class contains information about experimental measurements, including + file formats, measurement metadata, and file references. Attributes: formats (list[FormatAnnot]): A list of format annotations. @@ -174,6 +204,9 @@ def to_measurements( """ Converts the data annotation to version 2 format. + This method transforms v1 data annotations into v2 Measurement objects, + mapping file data and units appropriately. + Args: meas_data (dict[str, pd.DataFrame]): A dictionary of dataframes. units (dict[str, UnitDefinition]): A dictionary of unit definitions. @@ -191,12 +224,13 @@ def to_measurements( measurement = Measurement(id=meas_v1.id, name=meas_v1.name) for init_conc in meas_v1.init_concs: - measurement.add_to_species_data( - data_unit=_get_unit(init_conc.unit, units), - species_id=init_conc.species_id, - initial=init_conc.value, - data_type=DataTypes.CONCENTRATION, - ) + if init_conc.species_id: + measurement.add_to_species_data( + data_unit=_get_unit(init_conc.unit, units), # type: ignore + species_id=init_conc.species_id, + initial=init_conc.value, + data_type=DataTypes.CONCENTRATION, + ) # Extract the format information file = next(f for f in self.files if f.id == meas_v1.file) @@ -227,6 +261,10 @@ def _map_columns( """ Maps columns from the dataframe to the measurement. + This method processes each column in the format definition, extracts + the corresponding data from the dataframe, and adds it to the measurement + object with appropriate units. + Args: df (pd.DataFrame): The dataframe containing the data. file_format (FormatAnnot): The format annotation. @@ -239,9 +277,18 @@ def _map_columns( values = df.iloc[:, col.index].values.tolist() if col.type == "time": - self._map_time_values(measurement, unit, values) + self._map_time_values( + measurement, + unit, # type: ignore + values, + ) else: - self._map_species_values(col, measurement, unit, values) + self._map_species_values( + col, + measurement, + unit, # type: ignore + values, + ) @staticmethod def _map_species_values( @@ -253,6 +300,9 @@ def _map_species_values( """ Maps species values to the measurement. + This method finds the appropriate species data object in the measurement + and adds the concentration or other data values to it. + Args: col (ColumnAnnot): The column annotation. measurement (Measurement): The measurement to map the values to. @@ -276,6 +326,9 @@ def _map_time_values( """ Maps time values to the measurement. + This method adds time values to all species data objects in the measurement, + ensuring that time series data is properly associated with each species. + Args: measurement (Measurement): The measurement to map the values to. unit (UnitDefinition): The unit definition. @@ -295,6 +348,9 @@ class FormatAnnot( """ Represents the format annotation in the EnzymeML format. + This class defines the structure of data files, specifying how columns + in data files map to species, time, or other measurements. + Attributes: id (str): The ID of the format. columns (list[ColumnAnnot]): A list of column annotations. @@ -315,6 +371,9 @@ class ColumnAnnot( """ Represents the column annotation in the EnzymeML format. + This class defines how a specific column in a data file should be interpreted, + including what species it refers to, what type of data it contains, and its units. + Attributes: species_id (str | None): The ID of the species. type (str): The type of the column. @@ -340,6 +399,9 @@ class MeasurementAnnot( """ Represents the measurement annotation in the EnzymeML format. + This class contains metadata about a specific measurement, including + its identifier, name, associated file, and initial concentrations. + Attributes: id (str): The ID of the measurement. name (str): The name of the measurement. @@ -364,6 +426,9 @@ class InitConcAnnot( """ Represents the initial concentration annotation in the EnzymeML format. + This class defines the initial concentration of a species (either a protein + or reactant) in a specific measurement. + Attributes: protein (str | None): The protein associated with the initial concentration. reactant (str | None): The reactant associated with the initial concentration. @@ -378,12 +443,15 @@ class InitConcAnnot( @computed_field @property - def species_id(self) -> str: + def species_id(self) -> str | None: """ Computes the species ID based on the protein or reactant. + This property returns either the protein or reactant ID, ensuring + that exactly one of them is set. + Returns: - str: The species ID. + str | None: The species ID. """ assert bool(self.protein) != bool(self.reactant), ( "Either protein or reactant must be set" @@ -399,6 +467,9 @@ class FileAnnot( """ Represents the file annotation in the EnzymeML format. + This class contains metadata about a data file, including its identifier, + location, and format. + Attributes: id (str): The ID of the file. location (str): The file path. diff --git a/pyenzyme/sbml/versions/v2.py b/pyenzyme/sbml/versions/v2.py index e01c9129..3daba966 100644 --- a/pyenzyme/sbml/versions/v2.py +++ b/pyenzyme/sbml/versions/v2.py @@ -1,6 +1,13 @@ """ This module contains the classes for the EnzymeML version 2 format annotations used to map the EnzymeML JSON schema to SBML. + +The classes in this module define the structure for annotating SBML models with +EnzymeML-specific information. These annotations allow for the representation of +enzymatic reactions, experimental data, and associated metadata in a standardized format. + +Each annotation class corresponds to a specific aspect of enzymatic data, such as +small molecules, proteins, complexes, experimental measurements, and parameters. """ from __future__ import annotations @@ -8,7 +15,6 @@ import pandas as pd from pydantic import field_validator from pydantic_xml import element, attr, BaseXmlModel -import rich from pyenzyme import DataTypes, Measurement, UnitDefinition from pyenzyme.sbml.utils import _get_unit @@ -17,9 +23,18 @@ class BaseAnnot(BaseXmlModel): """ Base class for annotations in the EnzymeML format. + + This class provides common functionality for all annotation classes, + including methods to check if an annotation is empty. """ def is_empty(self): + """ + Check if the annotation is empty. + + Returns: + bool: True if all attributes are None or empty lists, False otherwise. + """ return all(value is None or value == [] for _, value in self) @@ -29,6 +44,21 @@ class V2Annotation( search_mode="unordered", nsmap={"enzymeml": "https://www.enzymeml.org/v2"}, ): + """ + Top-level annotation class for EnzymeML version 2. + + This class serves as a container for all other annotation types and + is attached to SBML elements to provide EnzymeML-specific information. + + Attributes: + small_molecule (SmallMoleculeAnnot | None): Annotation for small molecules. + protein (ProteinAnnot | None): Annotation for proteins. + complex (ComplexAnnot | None): Annotation for complexes. + data (DataAnnot | None): Annotation for experimental data. + parameter (ParameterAnnot | None): Annotation for parameters. + variables (VariablesAnnot | None): Annotation for variables. + """ + small_molecule: SmallMoleculeAnnot | None = element( tag="smallMolecule", default=None, @@ -69,6 +99,9 @@ class SmallMoleculeAnnot( """ Represents the annotation for a small molecule in the EnzymeML format. + This class contains chemical identifiers that help uniquely identify + small molecules involved in enzymatic reactions. + Attributes: inchikey (str | None): The InChIKey of the small molecule. canonical_smiles (str | None): The canonical SMILES representation of the small molecule. @@ -87,6 +120,9 @@ class ProteinAnnot( """ Represents the annotation for a protein in the EnzymeML format. + This class contains biological information about proteins, including + their enzymatic classification, origin, and sequence. + Attributes: ecnumber (str | None): The EC number of the protein. organism (str | None): The organism from which the protein is derived. @@ -109,6 +145,9 @@ class ComplexAnnot( """ Represents the annotation for a complex in the EnzymeML format. + This class describes molecular complexes formed by multiple components, + such as protein-protein or protein-substrate complexes. + Attributes: participants (list[str]): A list of participants in the complex. """ @@ -128,6 +167,9 @@ class DataAnnot( """ Represents the annotation for data in the EnzymeML format. + This class links experimental data files to measurements and provides + methods to convert the data into Measurement objects. + Attributes: file (str): The file associated with the data. measurements (list[MeasurementAnnot]): A list of measurements associated with the data. @@ -142,6 +184,15 @@ class DataAnnot( @field_validator("file") @classmethod def _check_file_path(cls, value): + """ + Ensures that file paths start with './'. + + Args: + value (str): The file path to validate. + + Returns: + str: The validated file path. + """ if not value.startswith("./"): return "./" + value return value @@ -151,6 +202,22 @@ def to_measurements( meas_data: dict[str, pd.DataFrame], units: dict[str, UnitDefinition], ) -> list[Measurement]: + """ + Converts data annotations to Measurement objects. + + This method processes the measurement annotations and associated data + to create fully-populated Measurement objects. + + Args: + meas_data (dict[str, pd.DataFrame]): Dictionary mapping file paths to data frames. + units (dict[str, UnitDefinition]): Dictionary mapping unit IDs to UnitDefinition objects. + + Returns: + list[Measurement]: List of created Measurement objects. + + Raises: + AssertionError: If the specified data file is not found in the provided data. + """ assert self.file in meas_data, f"Data file '{self.file}' not found in data" return [ @@ -171,6 +238,9 @@ class MeasurementAnnot( """ Represents the annotation for a measurement in the EnzymeML format. + This class describes experimental measurements, including conditions, + time units, and species data. + Attributes: id (str): The ID of the measurement. name (str | None): The name of the measurement. @@ -193,6 +263,22 @@ def to_measurement( meas_data: pd.DataFrame, units: dict[str, UnitDefinition], ): + """ + Converts a measurement annotation to a Measurement object. + + This method processes the measurement data, conditions, and species data + to create a fully-populated Measurement object. + + Args: + meas_data (pd.DataFrame): The data frame containing measurement data. + units (dict[str, UnitDefinition]): Dictionary mapping unit IDs to UnitDefinition objects. + + Returns: + Measurement: The created Measurement object. + + Raises: + ValueError: If no data is found for the measurement ID. + """ df_sub = meas_data[meas_data.id == self.id] # Extract conditions data @@ -221,7 +307,7 @@ def to_measurement( id=self.id, name=name, temperature=temperature, - temperature_unit=temperature_unit, + temperature_unit=temperature_unit, # type: ignore ph=ph, ) @@ -240,6 +326,18 @@ def _map_species_data( species: SpeciesDataAnnot, units: dict[str, UnitDefinition], ): + """ + Maps species data from a data frame to a Measurement object. + + This method extracts species-specific data from the data frame and + adds it to the Measurement object. + + Args: + df_sub (pd.DataFrame): The filtered data frame for the current measurement. + measurement (Measurement): The Measurement object to add data to. + species (SpeciesDataAnnot): The species data annotation. + units (dict[str, UnitDefinition]): Dictionary mapping unit IDs to UnitDefinition objects. + """ if species.species_id in df_sub.columns: data = df_sub[species.species_id].to_list() time = df_sub["time"].to_list() @@ -250,14 +348,26 @@ def _map_species_data( data=data, time=time, species_id=species.species_id, - data_unit=_get_unit(species.unit, units), - time_unit=_get_unit(self.time_unit, units), + data_unit=_get_unit(species.unit, units), # type: ignore + time_unit=_get_unit(self.time_unit, units), # type: ignore initial=species.initial, - data_type=self._map_data_type(species.type), + data_type=self._map_data_type(species.type), # type: ignore ) @staticmethod def _map_data_type(dtype: str): + """ + Maps a string data type to a DataTypes enum value. + + Args: + dtype (str): The string representation of the data type. + + Returns: + DataTypes: The corresponding DataTypes enum value. + + Raises: + ValueError: If the data type is not supported. + """ if data_type := getattr(DataTypes, dtype, None): return data_type else: @@ -273,6 +383,9 @@ class SpeciesDataAnnot( """ Represents the annotation for species data in the EnzymeML format. + This class describes data associated with a specific species, including + its initial value, data type, and unit. + Attributes: species_id (str): The ID of the species. initial (float): The value associated with the species. @@ -295,6 +408,9 @@ class ConditionsAnnot( """ Represents the annotation for conditions in the EnzymeML format. + This class describes experimental conditions such as pH and temperature + under which measurements were taken. + Attributes: ph (PHAnnot | None): The pH conditions. temperature (TemperatureAnnot | None): The temperature conditions. @@ -313,6 +429,8 @@ class PHAnnot( """ Represents the annotation for pH in the EnzymeML format. + This class describes the pH value of an experimental condition. + Attributes: value (float): The pH value. """ @@ -329,6 +447,8 @@ class TemperatureAnnot( """ Represents the annotation for temperature in the EnzymeML format. + This class describes the temperature value and unit of an experimental condition. + Attributes: value (float): The temperature value. unit (str): The unit of the temperature value. @@ -347,6 +467,9 @@ class ParameterAnnot( """ Represents the annotation for a parameter in the EnzymeML format. + This class describes statistical properties of parameters used in + kinetic models, such as bounds and standard error. + Attributes: lower (float | None): The lower bound of the parameter. upper (float | None): The upper bound of the parameter. @@ -367,6 +490,9 @@ class VariablesAnnot( """ Represents the annotation for variables in the EnzymeML format. + This class serves as a container for variable annotations used in + kinetic models and equations. + Attributes: variables (list[Variable]): A list of variables. """ @@ -383,6 +509,9 @@ class VariableAnnot( """ Represents a variable in the EnzymeML format. + This class describes variables used in kinetic models and equations, + including their identifiers and symbols. + Attributes: id (str | None): The ID of the variable. name (str | None): The name of the variable. diff --git a/pyenzyme/tabular.py b/pyenzyme/tabular.py index b7316241..35667f94 100644 --- a/pyenzyme/tabular.py +++ b/pyenzyme/tabular.py @@ -74,7 +74,6 @@ def read_excel( data_unit: str, time_unit: str, data_type: DataTypes = DataTypes.CONCENTRATION, - sep: str = ";", ): """Reads a CSV file from the specified path into a measurement. @@ -91,8 +90,8 @@ def read_excel( Args: path (str, pathlib.Path): The path to the CSV file. - data_unit (UnitDefinition): The unit of the data. - time_unit (UnitDefinition): The unit of the time. + data_unit (str): The unit of the data. + time_unit (str): The unit of the time. data_type (DataTypes): The type of the data. Default is DataTypes.CONCENTRATION. sep (str): The separator of the CSV file. Default is ';'. @@ -145,8 +144,8 @@ def read_csv( Args: path (str, pathlib.Path): The path to the CSV file. - data_unit (UnitDefinition): The unit of the data. - time_unit (UnitDefinition): The unit of the time. + data_unit (str): The unit of the data. + time_unit (str): The unit of the time. data_type (DataTypes): The type of the data. Default is DataTypes.CONCENTRATION. sep (str): The separator of the CSV file. Default is ';'. @@ -200,8 +199,8 @@ def from_dataframe( Args: df (pd.DataFrame): The DataFrame to parse. meas_id (str | None): The ID of the measurement. Default is None. - data_unit (UnitDefinition): The unit of the data. - time_unit (UnitDefinition): The unit of the time. + data_unit (str): The unit of the data. + time_unit (str): The unit of the time. data_type (DataTypes): The type of the data. Default is DataTypes.CONCENTRATION. Returns: @@ -261,8 +260,8 @@ def _create_single_measurement( species_id=str(species_id), data=species_data, time=time, - data_unit=data_unit, - time_unit=time_unit, + data_unit=data_unit, # type: ignore + time_unit=time_unit, # type: ignore initial=float(species_data[0]), data_type=data_type, ) From b10a48814d68ce23f14474237cea4d67593ea1e3 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 01:21:17 +0200 Subject: [PATCH 091/172] use handler instead of attaching to class --- pyenzyme/__init__.py | 98 +++---------- pyenzyme/versions/io.py | 237 +++++++++++++++++++++++++++++++ tests/integration/test_sbml.py | 17 ++- tests/unit/test_equations.py | 1 - tests/unit/test_sbml_annot_v1.py | 1 - tests/unit/test_tabular.py | 119 +++++++++++----- 6 files changed, 351 insertions(+), 122 deletions(-) create mode 100644 pyenzyme/versions/io.py diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index 4576eb37..e4db8855 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -1,85 +1,33 @@ from __future__ import annotations -import json -from pathlib import Path +from mdmodels.units.unit_definition import UnitDefinition -from rich import print +from .versions.v2 import * # noqa: F403 +from .versions.io import EnzymeMLHandler +from .suite import EnzymeMLSuite -from mdmodels.units.unit_definition import UnitDefinition # noqa: F401 +# Input functions +from_csv = EnzymeMLHandler.from_csv +from_dataframe = EnzymeMLHandler.from_dataframe +from_excel = EnzymeMLHandler.from_excel +from_sbml = EnzymeMLHandler.from_sbml +read_enzymeml = EnzymeMLHandler.read_enzymeml -from .versions.v2 import * # noqa: F403 -from .sbml import to_sbml, read_sbml # noqa: F401 -from .suite import EnzymeMLSuite # noqa: F401 -from .tabular import to_pandas, read_csv, read_excel, from_dataframe # noqa: F401 +# Output functions +to_pandas = EnzymeMLHandler.to_pandas +to_sbml = EnzymeMLHandler.to_sbml +write_enzymeml = EnzymeMLHandler.write_enzymeml __all__ = [ + "UnitDefinition", + "EnzymeMLSuite", + "EnzymeMLHandler", + "from_csv", + "from_dataframe", + "from_excel", + "from_sbml", "read_enzymeml", - "write_enzymeml", - "to_sbml", "to_pandas", - "read_csv", - "read_excel", - "from_dataframe", + "to_sbml", + "write_enzymeml", ] - - -def read_enzymeml(cls, path: str) -> EnzymeMLDocument: # noqa: F405 - with open(path) as f: - return cls.model_validate_json(f.read()) # noqa: F405 - - -def write_enzymeml( - self: EnzymeMLDocument, # noqa: F405 - path: Path | str | None = None, # noqa: F405 -): # noqa: F405 - data = json.loads(self.model_dump_json(exclude_none=True, by_alias=True)) - data = json.dumps(sort_by_ld(data), indent=2) - - if path is None: - return data - elif isinstance(path, str): - path = Path(path) - - if path.is_dir(): - path = path / "experiment.json" - - with open(path, "w") as f: - f.write(data) - - print(f"\n EnzymeML document written to [green][bold]{path}[/bold][/green]\n") - - -# Add these methods to the EnzymeMLDocument class -EnzymeMLDocument.read = classmethod(read_enzymeml) # noqa: F405 -EnzymeMLDocument.write = write_enzymeml # noqa: F405 -EnzymeMLDocument.from_sbml = classmethod(read_sbml) # noqa: F405 -EnzymeMLDocument.to_sbml = to_sbml # noqa: F405 -EnzymeMLDocument.to_pandas = to_pandas # noqa: F405 - - -def sort_by_ld(d: dict) -> dict: - keys = sorted(d.keys(), key=_pattern) - data = {} - - for key in keys: - value = d[key] - - if isinstance(value, dict): - data[key] = sort_by_ld(value) - elif isinstance(value, list) and all(isinstance(v, dict) for v in value): - data[key] = [sort_by_ld(v) for v in value] - else: - data[key] = value - - return data - - -def _pattern(s: str): - if s.startswith("@context"): - return 0 - elif s.startswith("@id"): - return 1 - elif s.startswith("@type"): - return 2 - else: - return 3 diff --git a/pyenzyme/versions/io.py b/pyenzyme/versions/io.py new file mode 100644 index 00000000..f9eb11ba --- /dev/null +++ b/pyenzyme/versions/io.py @@ -0,0 +1,237 @@ +import json +from pathlib import Path +from typing import Optional + +import pandas as pd + +from pydantic import ValidationError +from pyenzyme.sbml.serializer import to_sbml +from pyenzyme.tabular import from_dataframe, read_csv, read_excel, to_pandas +from pyenzyme.versions import v2 +from pyenzyme.sbml.parser import read_sbml + +AVAILABLE_VERSIONS = ["v1", "v2"] + + +class EnzymeMLHandler: + """Handler for EnzymeML document operations. + + This class provides methods for reading, writing, and converting EnzymeML documents + between different formats including JSON, SBML, CSV, Excel, and pandas DataFrames. + """ + + @classmethod + def read_enzymeml(cls, path: str) -> v2.EnzymeMLDocument: # noqa: F405 + """Read an EnzymeML document from a file. + + Attempts to read the document using different version parsers until successful. + + Args: + path: Path to the EnzymeML document file + + Returns: + An EnzymeMLDocument object + + Raises: + ValueError: If the document cannot be parsed with any available version + """ + for version in AVAILABLE_VERSIONS: + if version == "v1": + try: + return read_sbml(v2.EnzymeMLDocument, path) + except Exception: + continue + elif version == "v2": + try: + with open(path, "r") as f: + data = json.load(f) + + return v2.EnzymeMLDocument.model_validate(data) + except ValidationError: + continue + + raise ValueError(f"Invalid EnzymeML version: {path}") + + @classmethod + def from_dataframe( + cls, + df: pd.DataFrame, + data_unit: str, + time_unit: str, + ) -> list[v2.Measurement]: # noqa: F405 + """Create measurements from a pandas DataFrame. + + Args: + df: DataFrame containing measurement data + data_unit: Unit for the measurement data + time_unit: Unit for the time data + + Returns: + List of Measurement objects + """ + return from_dataframe(df, data_unit, time_unit) + + @classmethod + def write_enzymeml( + cls, + enzmldoc: v2.EnzymeMLDocument, + path: Path | str | None = None, + ) -> Optional[str]: # noqa: F405 + """Write an EnzymeML document to a file or return as a string. + + Args: + enzmldoc: The EnzymeML document to write + path: Path to write the document to. If None, returns the document as a string + + Returns: + The document as a string if path is None, otherwise None + """ + data = json.loads(enzmldoc.model_dump_json(exclude_none=True, by_alias=True)) + data = json.dumps(sort_by_ld(data), indent=2) + + if path is None: + return data + elif isinstance(path, str): + path = Path(path) + + if path.is_dir(): + path = path / "experiment.json" + + with open(path, "w") as f: + f.write(data) + + print(f"\n EnzymeML document written to [green][bold]{path}[/bold][/green]\n") + + @classmethod + def to_sbml( + cls, + enzmldoc: v2.EnzymeMLDocument, + path: Path | str, + ) -> None: # noqa: F405 + """Convert an EnzymeML document to SBML format and write to a file. + + Args: + enzmldoc: The EnzymeML document to convert + path: Path to write the SBML document to + """ + to_sbml(enzmldoc, path) + + @classmethod + def from_sbml( + cls, + path: Path | str, + ) -> v2.EnzymeMLDocument: # noqa: F405 + """Read an EnzymeML document from an SBML file. + + Args: + path: Path to the SBML file + + Returns: + An EnzymeMLDocument object + """ + return read_sbml(v2.EnzymeMLDocument, path) + + @classmethod + def to_pandas( + cls, + enzmldoc: v2.EnzymeMLDocument, + ) -> pd.DataFrame | None: # noqa: F405 + """Convert an EnzymeML document to a pandas DataFrame. + + Args: + enzmldoc: The EnzymeML document to convert + + Returns: + DataFrame containing the measurement data, or None if no measurements exist + """ + return to_pandas(enzmldoc) + + @classmethod + def from_csv( + cls, + path: Path | str, + data_unit: str, + time_unit: str, + data_type: v2.DataTypes = v2.DataTypes.CONCENTRATION, + sep: str = "\t", + ) -> list[v2.Measurement]: # noqa: F405 + """Create measurements from a CSV file. + + Args: + path: Path to the CSV file + data_unit: Unit for the measurement data + time_unit: Unit for the time data + data_type: Type of data (default: CONCENTRATION) + sep: Separator used in the CSV file (default: tab) + + Returns: + List of Measurement objects + """ + return read_csv(path, data_unit, time_unit, data_type, sep) + + @classmethod + def from_excel( + cls, + path: Path | str, + data_unit: str, + time_unit: str, + data_type: v2.DataTypes = v2.DataTypes.CONCENTRATION, + ) -> list[v2.Measurement]: # noqa: F405 + """Create measurements from an Excel file. + + Args: + path: Path to the Excel file + data_unit: Unit for the measurement data + time_unit: Unit for the time data + data_type: Type of data (default: CONCENTRATION) + + Returns: + List of Measurement objects + """ + return read_excel(path, data_unit, time_unit, data_type) + + +def sort_by_ld(d: dict) -> dict: + """Sort a dictionary according to JSON-LD conventions. + + Sorts keys so that @context, @id, and @type appear first, followed by other keys. + + Args: + d: Dictionary to sort + + Returns: + Sorted dictionary + """ + keys = sorted(d.keys(), key=_pattern) + data = {} + + for key in keys: + value = d[key] + + if isinstance(value, dict): + data[key] = sort_by_ld(value) + elif isinstance(value, list) and all(isinstance(v, dict) for v in value): + data[key] = [sort_by_ld(v) for v in value] + else: + data[key] = value + + return data + + +def _pattern(s: str): + """Helper function for sorting JSON-LD keys. + + Args: + s: Key string + + Returns: + Priority value for sorting (lower values come first) + """ + if s.startswith("@context"): + return 0 + elif s.startswith("@id"): + return 1 + elif s.startswith("@type"): + return 2 + else: + return 3 diff --git a/tests/integration/test_sbml.py b/tests/integration/test_sbml.py index 9d1a45b9..cd79aaf3 100644 --- a/tests/integration/test_sbml.py +++ b/tests/integration/test_sbml.py @@ -3,7 +3,6 @@ import pyenzyme as pe import pyenzyme.equations as peq -from pyenzyme import EnzymeMLDocument from pyenzyme.tools import to_dict_wo_json_ld, get_all_parameters @@ -13,12 +12,12 @@ def test_parse_sbml_odes(self): path = Path("tests/fixtures/sbml/odes_example.omex") # Act - enzmldoc = EnzymeMLDocument.from_sbml(path) + enzmldoc = pe.from_sbml(path) # Assert parsed_doc = to_dict_wo_json_ld(enzmldoc) expected_doc = to_dict_wo_json_ld( - EnzymeMLDocument.read("tests/fixtures/sbml/ode_example_enzml.json") + pe.read_enzymeml("tests/fixtures/sbml/ode_example_enzml.json") ) # Remove spaces of equation @@ -35,12 +34,12 @@ def test_v1_import(self): path = Path("tests/fixtures/sbml/v1_example.omex") # Act - enzmldoc = EnzymeMLDocument.from_sbml(path) + enzmldoc = pe.from_sbml(path) # Assert parsed_doc = to_dict_wo_json_ld(enzmldoc) expected_doc = to_dict_wo_json_ld( - EnzymeMLDocument.read("tests/fixtures/sbml/v1_example_enzml.json") + pe.read_enzymeml("tests/fixtures/sbml/v1_example_enzml.json") ) assert parsed_doc == expected_doc, ( @@ -106,7 +105,7 @@ def test_end_to_end(self): enzmldoc=doc, ) - doc.measurements += pe.read_excel( + doc.measurements += pe.from_excel( "tests/fixtures/tabular/data.xlsx", data_unit="mmol / l", time_unit="s", @@ -119,15 +118,15 @@ def test_end_to_end(self): for meas in doc.measurements: meas.temperature = 298.15 - meas.temperature_unit = "K" + meas.temperature_unit = "K" # type: ignore meas.ph = 7.0 with tempfile.TemporaryDirectory() as dirname: path = Path(dirname) / "test.omex" - doc.to_sbml(path) + pe.to_sbml(doc, path) # Act - enzmldoc = EnzymeMLDocument.from_sbml(path) + enzmldoc = pe.from_sbml(path) # Assert parsed_doc = to_dict_wo_json_ld(enzmldoc) diff --git a/tests/unit/test_equations.py b/tests/unit/test_equations.py index 835e3d22..08105f53 100644 --- a/tests/unit/test_equations.py +++ b/tests/unit/test_equations.py @@ -3,7 +3,6 @@ from pyenzyme.equations._chem import build_reaction, build_reactions from pyenzyme.equations._math import build_equation, build_equations from pyenzyme import EquationType, EnzymeMLDocument -from pyenzyme.units import s class TestMathEquations: diff --git a/tests/unit/test_sbml_annot_v1.py b/tests/unit/test_sbml_annot_v1.py index 092f02cf..ff6ee602 100644 --- a/tests/unit/test_sbml_annot_v1.py +++ b/tests/unit/test_sbml_annot_v1.py @@ -7,7 +7,6 @@ ComplexAnnot, ProteinAnnot, ) -from pyenzyme.units import M class TestSBMLAnnotV1: diff --git a/tests/unit/test_tabular.py b/tests/unit/test_tabular.py index 5ea8a5c7..13d786c6 100644 --- a/tests/unit/test_tabular.py +++ b/tests/unit/test_tabular.py @@ -3,7 +3,6 @@ import pyenzyme as pe from pyenzyme.tabular import _measurement_to_pandas, to_pandas -from pyenzyme.units import mM, s class TestTabularExport: @@ -62,7 +61,7 @@ class TestTabularImport: def test_csv_import(self): """Test that a CSV file can be imported to a pandas DataFrame""" # Act - meas = pe.read_csv( + meas = pe.from_csv( "tests/fixtures/tabular/data.tsv", data_unit="mmol / l", time_unit="s", @@ -84,21 +83,33 @@ def test_csv_import(self): assert m.species_data[0].data_unit.name == "mmol / l", ( f"Expected mM. Got {m.species_data[0].data_unit}" ) - assert m.species_data[0].time_unit.name == "s", ( - f"Expected s. Got {m.species_data[0].time_unit.name}" - ) + + if m.species_data[0].time_unit is not None: + assert m.species_data[0].time_unit.name == "s", ( + f"Expected s. Got {m.species_data[0].time_unit.name}" + ) + else: + assert m.species_data[0].time_unit is None, ( + f"Expected None. Got {m.species_data[0].time_unit}" + ) assert m.species_data[1].data_unit.name == "mmol / l", ( f"Expected mM. Got {m.species_data[1].data_unit.name}" ) - assert m.species_data[1].time_unit.name == "s", ( - f"Expected s. Got {m.species_data[1].time_unit.name}" - ) + + if m.species_data[1].time_unit is not None: + assert m.species_data[1].time_unit.name == "s", ( + f"Expected s. Got {m.species_data[1].time_unit.name}" + ) + else: + assert m.species_data[1].time_unit is None, ( + f"Expected None. Got {m.species_data[1].time_unit}" + ) def test_excel_import(self): """Test that a Excel file can be imported to a pandas DataFrame""" # Act - meas = pe.read_excel( + meas = pe.from_excel( "tests/fixtures/tabular/data.xlsx", data_unit="mmol / l", time_unit="s", @@ -111,51 +122,87 @@ def test_excel_import(self): assert len(m.species_data) == 2, ( f"Expected 2 species. Got {len(m.species_data)}" ) - assert len(m.species_data[0].time) == 11, ( - f"Expected 10 time points. Got {len(m.species_data[0].time)}" - ) - assert len(m.species_data[1].time) == 11, ( - f"Expected 10 time points. Got {len(m.species_data[1].time)}" - ) - assert m.species_data[0].data_unit.name == "mmol / l", ( - f"Expected mM. Got {m.species_data[0].data_unit.name}" - ) - assert m.species_data[0].time_unit.name == "s", ( - f"Expected s. Got {m.species_data[0].time_unit.name}" - ) - assert m.species_data[1].data_unit.name == "mmol / l", ( - f"Expected mM. Got {m.species_data[1].data_unit.name}" - ) - assert m.species_data[1].time_unit.name == "s", ( - f"Expected s. Got {m.species_data[1].time_unit.name}" - ) + + if m.species_data[0].time_unit is not None: + assert len(m.species_data[0].time) == 11, ( + f"Expected 10 time points. Got {len(m.species_data[0].time)}" + ) + else: + assert len(m.species_data[0].time) == 0, ( + f"Expected 0 time points. Got {len(m.species_data[0].time)}" + ) + + if m.species_data[1].time_unit is not None: + assert len(m.species_data[1].time) == 11, ( + f"Expected 10 time points. Got {len(m.species_data[1].time)}" + ) + else: + assert len(m.species_data[1].time) == 0, ( + f"Expected 0 time points. Got {len(m.species_data[1].time)}" + ) + + if m.species_data[0].data_unit is not None: + assert m.species_data[0].data_unit.name == "mmol / l", ( + f"Expected mM. Got {m.species_data[0].data_unit.name}" + ) + else: + assert m.species_data[0].data_unit is None, ( + f"Expected None. Got {m.species_data[0].data_unit}" + ) + + if m.species_data[0].time_unit is not None: + assert m.species_data[0].time_unit.name == "s", ( + f"Expected s. Got {m.species_data[0].time_unit.name}" + ) + else: + assert m.species_data[0].time_unit is None, ( + f"Expected None. Got {m.species_data[0].time_unit}" + ) + + if m.species_data[1].data_unit is not None: + assert m.species_data[1].data_unit.name == "mmol / l", ( + f"Expected mM. Got {m.species_data[1].data_unit.name}" + ) + else: + assert m.species_data[1].data_unit is None, ( + f"Expected None. Got {m.species_data[1].data_unit}" + ) + + if m.species_data[1].time_unit is not None: + assert m.species_data[1].time_unit.name == "s", ( + f"Expected s. Got {m.species_data[1].time_unit.name}" + ) + else: + assert m.species_data[1].time_unit is None, ( + f"Expected None. Got {m.species_data[1].time_unit}" + ) def test_invalid_types(self): """Test that an invalid CSV raises a ValueError""" # Act with pytest.raises(AssertionError): - pe.read_csv( + pe.from_csv( "tests/fixtures/tabular/data_invalid_chars.tsv", - data_unit=mM, - time_unit=s, + data_unit="mmol / l", + time_unit="s", ) def test_invalid_csv(self): """Test that an invalid CSV raises a ValueError""" # Act with pytest.raises(AssertionError): - pe.read_csv( + pe.from_csv( "tests/fixtures/tabular/data_invalid.tsv", - data_unit=mM, - time_unit=s, + data_unit="mmol / l", + time_unit="s", ) def test_invalid_excel(self): """Test that an invalid Excel raises a ValueError""" # Act with pytest.raises(AssertionError): - pe.read_excel( + pe.from_excel( "tests/fixtures/tabular/data_invalid.xlsx", - data_unit=mM, - time_unit=s, + data_unit="mmol / l", + time_unit="s", ) From 1c650ec2142c9d6c8d4231130adf84a54b7e03c7 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 01:21:34 +0200 Subject: [PATCH 092/172] add db fetcher --- pyenzyme/fetcher/brenda.py | 0 pyenzyme/fetcher/chebi.py | 214 ++++++++++++++++++++++++++++++ pyenzyme/fetcher/rhea.py | 206 ++++++++++++++++++++++++++++ pyenzyme/fetcher/uniprot.py | 192 +++++++++++++++++++++++++++ tests/integration/test_fetcher.py | 67 ++++++++++ 5 files changed, 679 insertions(+) create mode 100644 pyenzyme/fetcher/brenda.py create mode 100644 pyenzyme/fetcher/chebi.py create mode 100644 pyenzyme/fetcher/rhea.py create mode 100644 pyenzyme/fetcher/uniprot.py create mode 100644 tests/integration/test_fetcher.py diff --git a/pyenzyme/fetcher/brenda.py b/pyenzyme/fetcher/brenda.py new file mode 100644 index 00000000..e69de29b diff --git a/pyenzyme/fetcher/chebi.py b/pyenzyme/fetcher/chebi.py new file mode 100644 index 00000000..33b8ac07 --- /dev/null +++ b/pyenzyme/fetcher/chebi.py @@ -0,0 +1,214 @@ +""" +ChEBI fetcher for retrieving chemical entries by ID. + +This module provides functionality to fetch chemical entity data from the +ChEBI database by ID and map it to the PyEnzyme data model (v2). +""" + +import requests +import re +from typing import List, Optional, Union +from pydantic_xml import element, attr, BaseXmlModel +from pyenzyme.versions import v2 + + +class PropertyModel( + BaseXmlModel, + tag="property", + nsmap={"": "https://www.ebi.ac.uk/webservices/chebi"}, +): + """ + Model for a ChEBI entity property. + """ + + name: str = attr(name="name") + value: str = element(tag="value") + + +class SynonymModel( + BaseXmlModel, + tag="synonym", + nsmap={"": "https://www.ebi.ac.uk/webservices/chebi"}, +): + """ + Model for a ChEBI synonym. + """ + + data: str = element(tag="data") + type: str = attr(name="type") + source: Optional[str] = attr(name="source", default=None) + + +class FormulaModel( + BaseXmlModel, + tag="formula", + nsmap={"": "https://www.ebi.ac.uk/webservices/chebi"}, +): + """ + Model for a ChEBI chemical formula. + """ + + formula: str = element(tag="data") + source: Optional[str] = attr(name="source", default=None) + + +class StructureModel( + BaseXmlModel, + tag="structure", + nsmap={"": "https://www.ebi.ac.uk/webservices/chebi"}, +): + """ + Model for a ChEBI structure representation. + """ + + type: str = attr(name="type") + structure: str = element(tag="structure") + dimension: Optional[str] = attr(name="dimension", default=None) + format: Optional[str] = attr(name="format", default=None) + + +class ChEBIEntity( + BaseXmlModel, + tag="return", + search_mode="unordered", + nsmap={"": "https://www.ebi.ac.uk/webservices/chebi"}, +): + """ + Model for a ChEBI entity response. + """ + + chebi_id: str = element(tag="chebiId") + chebi_ascii_name: str = element(tag="chebiAsciiName") + definition: Optional[str] = element(tag="definition", default=None) + status: str = element(tag="status") + mass: Optional[float] = element(tag="mass", default=None) + charge: Optional[int] = element(tag="charge", default=None) + structure: Optional[StructureModel] = element(tag="structure", default=None) + formula: Optional[FormulaModel] = element(tag="formula", default=None) + inchi: Optional[str] = element(tag="inchi", default=None) + inchikey: Optional[str] = element(tag="inchiKey", default=None) + smiles: Optional[str] = element(tag="smiles", default=None) + chebiId_version: Optional[str] = element(tag="chebiIdVersion", default=None) + + +class GetEntityResponse( + BaseXmlModel, + tag="getCompleteEntityResponse", + search_mode="unordered", + nsmap={"": "https://www.ebi.ac.uk/webservices/chebi"}, +): + """ + Model for the ChEBI API response inside SOAP envelope. + """ + + entity: ChEBIEntity = element(tag="return") + + +class ChEBIClient: + """Client for accessing the ChEBI API to fetch chemical entity data.""" + + BASE_URL = "https://www.ebi.ac.uk/webservices/chebi/2.0/test/getCompleteEntity" + + def __init__(self): + """Initialize the ChEBI client.""" + pass + + def get_entry_by_id(self, chebi_id: str) -> Union[ChEBIEntity, None]: + """ + Fetch a ChEBI entry by its ID. + + Args: + chebi_id: The ChEBI ID to fetch, can be with or without the 'CHEBI:' prefix + + Returns: + ChEBIEntity object with the parsed response data + + Raises: + ValueError: If the ChEBI ID is invalid or not found + ConnectionError: If the connection to the ChEBI server fails + """ + # Ensure the CHEBI ID has the correct format + if not chebi_id.startswith("CHEBI:"): + chebi_id = f"CHEBI:{chebi_id}" + + # Construct the URL + url = f"{self.BASE_URL}?chebiId={chebi_id}" + + try: + response = requests.get(url) + response.raise_for_status() + + if response.status_code == 200: + try: + # Extract the getCompleteEntityResponse element using regex + xml_text = response.text + match = re.search( + r"", + xml_text, + re.DOTALL, + ) + + if not match: + raise ValueError( + "Could not find expected content in ChEBI response" + ) + + # Parse only the relevant XML fragment + xml_text = match.group(0) + entity_response = GetEntityResponse.from_xml(xml_text) + return entity_response.entity + except Exception as e: + raise ValueError(f"Failed to parse ChEBI response: {str(e)}") + else: + raise ValueError(f"Failed to retrieve ChEBI entry for ID {chebi_id}") + + except requests.exceptions.RequestException as e: + raise ConnectionError(f"Connection to ChEBI server failed: {str(e)}") + + +def fetch_chebi_to_small_molecule(chebi_id: str) -> v2.SmallMolecule: + """ + Fetch a ChEBI entry by ID and convert it to a SmallMolecule object. + + Args: + chebi_id: The ChEBI ID to fetch + + Returns: + A SmallMolecule object with data from ChEBI + + Raises: + ValueError: If the ChEBI ID is invalid or not found + ConnectionError: If the connection to the ChEBI server fails + """ + client = ChEBIClient() + chebi_entity = client.get_entry_by_id(chebi_id) + + if not chebi_entity: + raise ValueError(f"No data found for ChEBI ID {chebi_id}") + + # Create a SmallMolecule instance + small_molecule = v2.SmallMolecule( + id=chebi_entity.chebi_id.replace(":", "_"), + name=chebi_entity.chebi_ascii_name, + canonical_smiles=chebi_entity.smiles, + inchi=chebi_entity.inchi, + inchikey=chebi_entity.inchikey, + constant=False, # Default to non-constant + ) + + # Add type term for ChEBI source + small_molecule.add_type_term( + term=f"OBO:{chebi_entity.chebi_id.replace(':', '_')}", + prefix="OBO", + iri="http://purl.obolibrary.org/obo/", + ) + + # Add LD ID + small_molecule.ld_id = f"OBO:{chebi_entity.chebi_id.replace(':', '_')}" + + # Add full link as reference + small_molecule.references.append( + f"https://www.ebi.ac.uk/chebi/searchId.do?chebiId={chebi_entity.chebi_id}" + ) + + return small_molecule diff --git a/pyenzyme/fetcher/rhea.py b/pyenzyme/fetcher/rhea.py new file mode 100644 index 00000000..6802cadb --- /dev/null +++ b/pyenzyme/fetcher/rhea.py @@ -0,0 +1,206 @@ +""" +Rhea database fetcher for retrieving reaction entries by ID. + +This module provides functionality to fetch reaction data from the +Rhea database by ID and map it to the PyEnzyme data model (v2). +""" + +from io import StringIO +import pandas as pd +from pydantic import BaseModel, ConfigDict +from typing import List, ClassVar, Tuple + +import requests + +from pyenzyme.fetcher.chebi import fetch_chebi_to_small_molecule +from pyenzyme.versions import v2 + + +class RheaResult(BaseModel): + """ + Result for Rhea database. + + Attributes: + id: The Rhea ID of the reaction + equation: The chemical equation of the reaction + balanced: Whether the reaction is balanced + transport: Whether the reaction is a transport reaction + """ + + id: str + equation: str + balanced: bool + transport: bool + + +class RheaQuery(BaseModel): + """ + Query for Rhea database. + + Attributes: + count: The number of results returned + results: List of RheaResult objects + """ + + count: int + results: List[RheaResult] + + +class RheaClient(BaseModel): + """ + Client for Rhea database. + + This class handles communication with the Rhea database API + and parses the responses into structured data. + + Attributes: + json_content: The parsed JSON response from Rhea + chebi_ids: List of ChEBI IDs associated with the reaction + BASE_URL: The base URL for the Rhea API + """ + + model_config = ConfigDict(arbitrary_types_allowed=True) + + json_content: RheaResult + chebi_ids: List[str] + + BASE_URL: ClassVar[str] = ( + "https://www.rhea-db.org/rhea/?query=RHEA:{0}&columns=rhea-id,equation,chebi-id&format={1}&limit=10" + ) + + @classmethod + def from_id(cls, rhea_id: str) -> "RheaClient": + """ + Create a RheaClient instance from a Rhea ID. + + Args: + rhea_id: The Rhea ID to fetch, can be with or without the 'RHEA:' prefix + + Returns: + A RheaClient instance with the fetched data + + Raises: + ValueError: If no results are found for the given Rhea ID + """ + if rhea_id.startswith("RHEA:"): + rhea_id = rhea_id.split(":")[-1] + + tsv_content = cls.fetch_tsv(rhea_id) + json_content = cls.fetch_json(rhea_id) + + if len(json_content.results) == 0: + raise ValueError(f"No results found for RHEA ID: {rhea_id}") + + # Get first row of tsv_content + entry = tsv_content.iloc[0] + + return cls( + json_content=json_content.results[0], + chebi_ids=entry["ChEBI identifier"].split(";"), + ) + + @staticmethod + def fetch_tsv(query: str) -> pd.DataFrame: + """ + Fetch TSV data from the Rhea API. + + Args: + query: The Rhea ID to query + + Returns: + A pandas DataFrame containing the TSV response + + Raises: + HTTPError: If the request to the Rhea API fails + """ + response = requests.get(RheaClient.BASE_URL.format(query, "tsv")) + response.raise_for_status() + + return pd.read_csv(StringIO(response.text), sep="\t") + + @staticmethod + def fetch_json(query: str) -> RheaQuery: + """ + Fetch JSON data from the Rhea API. + + Args: + query: The Rhea ID to query + + Returns: + A RheaQuery object containing the parsed JSON response + + Raises: + HTTPError: If the request to the Rhea API fails + """ + response = requests.get(RheaClient.BASE_URL.format(query, "json")) + response.raise_for_status() + + return RheaQuery.model_validate(response.json()) + + +def fetch_rhea_to_reaction(rhea_id: str) -> Tuple[v2.Reaction, List[v2.SmallMolecule]]: + """ + Fetch a Rhea entry by ID and convert it to a Reaction object. + + This function retrieves reaction data from the Rhea database and + converts it to the PyEnzyme data model, including fetching all + associated small molecules from ChEBI. + + Args: + rhea_id: The Rhea ID to fetch, can be with or without the 'RHEA:' prefix + + Returns: + A tuple containing: + - A Reaction object with data from Rhea + - A list of SmallMolecule objects for all reactants and products + + Raises: + ValueError: If the Rhea ID is invalid or not found + ConnectionError: If the connection to the Rhea server fails + """ + client = RheaClient.from_id(rhea_id) + rhea_id = client.json_content.id + + equation = client.json_content.equation + n_reactants = len(equation.split("=")[0].split("+")) + n_products = len(equation.split("=")[1].split("+")) + + small_molecules = [] + species = [] + + # Process each chemical species in the reaction + for i in range(n_reactants + n_products): + small_molecule = fetch_chebi_to_small_molecule(client.chebi_ids[i]) + small_molecules.append(small_molecule) + + if i < n_reactants: + reaction_element = v2.ReactionElement( + species_id=small_molecule.id, + stoichiometry=1, + ) + else: + reaction_element = v2.ReactionElement( + species_id=small_molecule.id, + stoichiometry=-1, + ) + + species.append(reaction_element) + + reaction = v2.Reaction( + id=f"RHEA:{client.json_content.id}", + name=f"RHEA:{rhea_id}", + species=species, + reversible=client.json_content.balanced, + ) + + # Add semantic annotations + reaction.add_type_term( + term=f"rhea:{rhea_id}", + prefix="rhea", + iri="http://www.rhea-db.org/rhea/", + ) + + # Set linked data identifier + reaction.ld_id = f"rhea:{rhea_id}" + + return reaction, small_molecules diff --git a/pyenzyme/fetcher/uniprot.py b/pyenzyme/fetcher/uniprot.py new file mode 100644 index 00000000..7055b72b --- /dev/null +++ b/pyenzyme/fetcher/uniprot.py @@ -0,0 +1,192 @@ +""" +UniProt fetcher for retrieving protein entries by ID. + +This module provides functionality to fetch protein data from the +UniProt database by ID and map it to the PyEnzyme data model (v2). +""" + +import requests +from typing import List, Optional, Union +from pydantic import BaseModel, Field +from pyenzyme.versions import v2 + + +class ECNumber(BaseModel): + """Model for EC number in UniProt API""" + + value: str + + +class ProteinName(BaseModel): + """Model for protein name in UniProt API""" + + value: str + + +class RecommendedName(BaseModel): + """Model for recommended protein name in UniProt API""" + + full_name: ProteinName = Field(alias="fullName") + ec_numbers: Optional[List[ECNumber]] = Field(alias="ecNumbers") + + +class ProteinDescription(BaseModel): + """Model for protein description in UniProt API""" + + recommended_name: Optional[RecommendedName] = Field(alias="recommendedName") + + +class Organism(BaseModel): + """Model for organism in UniProt API""" + + scientific_name: Optional[str] = Field(alias="scientificName") + taxon_id: Optional[int] = Field(alias="taxonId") + + +class Sequence(BaseModel): + """Model for protein sequence in UniProt API""" + + value: str + length: int + mol_weight: Optional[int] = Field(alias="molWeight") + + +class UniProtEntry(BaseModel): + """ + Model for a UniProt entry response. + """ + + id: str = Field(alias="uniProtkbId") + protein_description: ProteinDescription = Field(alias="proteinDescription") + organism: Optional[Organism] = None + sequence: Optional[Sequence] = None + accession: str = Field(alias="primaryAccession") + annotation_score: Optional[float] = Field(alias="annotationScore") + + +class UniProtClient: + """Client for accessing the UniProt API to fetch protein data.""" + + BASE_URL = "https://rest.uniprot.org/uniprotkb" + + def __init__(self): + """Initialize the UniProt client.""" + pass + + def get_entry_by_id(self, uniprot_id: str) -> Union[UniProtEntry, None]: + """ + Fetch a UniProt entry by its ID. + + Args: + uniprot_id: The UniProt ID to fetch + + Returns: + UniProtEntry object with the parsed response data + + Raises: + ValueError: If the UniProt ID is invalid or not found + ConnectionError: If the connection to the UniProt server fails + """ + # Construct the URL + url = f"{self.BASE_URL}/{uniprot_id}.json" + + try: + response = requests.get(url) + response.raise_for_status() + + if response.status_code == 200: + try: + data = response.json() + return UniProtEntry.model_validate(data) + except Exception as e: + raise ValueError(f"Failed to parse UniProt response: {str(e)}") + else: + raise ValueError( + f"Failed to retrieve UniProt entry for ID {uniprot_id}" + ) + + except requests.exceptions.RequestException as e: + raise ConnectionError(f"Connection to UniProt server failed: {str(e)}") + + +def fetch_uniprot_to_protein(uniprot_id: str) -> v2.Protein: + """ + Fetch a UniProt entry by ID and convert it to a Protein object. + + Args: + uniprot_id: The UniProt ID to fetch + + Returns: + A Protein object with data from UniProt + + Raises: + ValueError: If the UniProt ID is invalid or not found + ConnectionError: If the connection to the UniProt server fails + """ + client = UniProtClient() + uniprot_entry = client.get_entry_by_id(uniprot_id) + + if not uniprot_entry: + raise ValueError(f"No data found for UniProt ID {uniprot_id}") + + # Extract protein name + name = uniprot_id + if ( + uniprot_entry.protein_description + and uniprot_entry.protein_description.recommended_name + and uniprot_entry.protein_description.recommended_name.full_name + ): + name = uniprot_entry.protein_description.recommended_name.full_name.value + + # Extract sequence if available + sequence = None + if uniprot_entry.sequence: + sequence = uniprot_entry.sequence.value + + # Extract organism data + organism = None + organism_tax_id = None + if uniprot_entry.organism: + organism = uniprot_entry.organism.scientific_name + if uniprot_entry.organism.taxon_id is not None: + organism_tax_id = str(uniprot_entry.organism.taxon_id) + + # Extract EC number + ecnumber = None + if ( + uniprot_entry.protein_description + and uniprot_entry.protein_description.recommended_name + and uniprot_entry.protein_description.recommended_name.ec_numbers + and len(uniprot_entry.protein_description.recommended_name.ec_numbers) > 0 + ): + ecnumber = uniprot_entry.protein_description.recommended_name.ec_numbers[ + 0 + ].value + + # Create a Protein instance + protein = v2.Protein( + id=uniprot_entry.accession, + name=name, + sequence=sequence, + organism=organism, + organism_tax_id=organism_tax_id, + ecnumber=ecnumber, + constant=True, # Default to constant + ) + + # Add type term for UniProt source + protein.add_type_term( + f"uniprot:{uniprot_entry.accession}", + "uniprot", + "https://www.uniprot.org/uniprotkb/", + ) + + # Add LD ID + protein.ld_id = f"uniprot:{uniprot_entry.accession}" + + # Add full link as reference + protein.references.append( + f"https://www.uniprot.org/uniprotkb/{uniprot_entry.accession}" + ) + + return protein diff --git a/tests/integration/test_fetcher.py b/tests/integration/test_fetcher.py new file mode 100644 index 00000000..4f2ba962 --- /dev/null +++ b/tests/integration/test_fetcher.py @@ -0,0 +1,67 @@ +import pytest +from pyenzyme.fetcher.chebi import fetch_chebi_to_small_molecule +from pyenzyme.fetcher.rhea import fetch_rhea_to_reaction +from pyenzyme.fetcher.uniprot import fetch_uniprot_to_protein + + +class TestFetcher: + def test_fetch_chebi_to_small_molecule(self): + small_molecule = fetch_chebi_to_small_molecule("CHEBI:15377") + assert small_molecule is not None + assert small_molecule.id == "CHEBI_15377" + assert small_molecule.name == "water" + assert small_molecule.canonical_smiles == "[H]O[H]" + assert small_molecule.inchi == "InChI=1S/H2O/h1H2" + assert small_molecule.inchikey == "XLYOFNOQVPJJNP-UHFFFAOYSA-N" + assert small_molecule.ld_id == "OBO:CHEBI_15377" + assert len(small_molecule.references) == 1 + assert ( + small_molecule.references[0] + == "https://www.ebi.ac.uk/chebi/searchId.do?chebiId=CHEBI:15377" + ) + + def test_fetch_chebi_to_small_molecule_invalid_id(self): + with pytest.raises(ValueError): + fetch_chebi_to_small_molecule("INVALID_ID") + + def test_fetch_uniprot_to_protein(self): + protein = fetch_uniprot_to_protein("P07327") + assert protein is not None + + assert protein.id == "P07327" + assert protein.name == "Alcohol dehydrogenase 1A" + assert protein.constant is True + assert protein.ecnumber == "1.1.1.1" + assert protein.organism == "Homo sapiens" + assert protein.organism_tax_id == "9606" + + assert protein.ld_id == "uniprot:P07327" + assert "uniprot:P07327" in protein.ld_type + assert len(protein.references) == 1 + assert protein.references[0] == "https://www.uniprot.org/uniprotkb/P07327" + + def test_fetch_rhea_to_reaction(self): + reaction, small_molecules = fetch_rhea_to_reaction("RHEA:22864") + + reaction.species.sort(key=lambda x: x.species_id) + small_molecules.sort(key=lambda x: x.id) + + assert reaction is not None + assert len(small_molecules) == 2 + + assert small_molecules[0].id == "CHEBI_32551" + assert small_molecules[1].id == "CHEBI_32557" + + assert reaction.id == "RHEA:22864" + assert reaction.name == "RHEA:22864" + assert reaction.reversible is True + + assert len(reaction.species) == 2 + assert reaction.species[0].stoichiometry == 1 + assert reaction.species[0].species_id == small_molecules[0].id + assert reaction.species[1].stoichiometry == -1 + assert reaction.species[1].species_id == small_molecules[1].id + + def test_fetch_rhea_to_reaction_invalid_id(self): + with pytest.raises(ValueError): + fetch_rhea_to_reaction("INVALID_ID") From c4ec525ad58ee8bee1945d6f8eabe806a03140f2 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 01:21:49 +0200 Subject: [PATCH 093/172] remove unused modules --- pyenzyme/model.py | 2244 ---------------------------------- pyenzyme/sbml/mappings.toml | 38 - pyenzyme/units/__init__.py | 1 - pyenzyme/units/ontomaps.toml | 40 - pyenzyme/units/predefined.py | 152 --- pyenzyme/units/units.py | 401 ------ 6 files changed, 2876 deletions(-) delete mode 100644 pyenzyme/model.py delete mode 100644 pyenzyme/sbml/mappings.toml delete mode 100644 pyenzyme/units/__init__.py delete mode 100644 pyenzyme/units/ontomaps.toml delete mode 100644 pyenzyme/units/predefined.py delete mode 100644 pyenzyme/units/units.py diff --git a/pyenzyme/model.py b/pyenzyme/model.py deleted file mode 100644 index f196a809..00000000 --- a/pyenzyme/model.py +++ /dev/null @@ -1,2244 +0,0 @@ -## This is a generated file. Do not modify it manually! - -from __future__ import annotations -from pydantic import BaseModel, Field, ConfigDict -from typing import Optional, Generic, TypeVar -from enum import Enum -from uuid import uuid4 - -# Filter Wrapper definition used to filter a list of objects -# based on their attributes -Cls = TypeVar("Cls") - -class FilterWrapper(Generic[Cls]): - """Wrapper class to filter a list of objects based on their attributes""" - - def __init__(self, collection: list[Cls], **kwargs): - self.collection = collection - self.kwargs = kwargs - - def filter(self) -> list[Cls]: - for key, value in self.kwargs.items(): - self.collection = [ - item for item in self.collection if self._fetch_attr(key, item) == value - ] - return self.collection - - def _fetch_attr(self, name: str, item: Cls): - try: - return getattr(item, name) - except AttributeError: - raise AttributeError(f"{item} does not have attribute {name}") - - -# JSON-LD Helper Functions -def add_namespace(obj, prefix: str | None, iri: str | None): - """Adds a namespace to the JSON-LD context - - Args: - prefix (str): The prefix to add - iri (str): The IRI to add - """ - if prefix is None and iri is None: - return - elif prefix and iri is None: - raise ValueError("If prefix is provided, iri must also be provided") - elif iri and prefix is None: - raise ValueError("If iri is provided, prefix must also be provided") - - obj.ld_context[prefix] = iri # type: ignore - -def validate_prefix(term: str | dict, prefix: str): - """Validates that a term is prefixed with a given prefix - - Args: - term (str): The term to validate - prefix (str): The prefix to validate against - - Returns: - bool: True if the term is prefixed with the prefix, False otherwise - """ - - if isinstance(term, dict) and not term["@id"].startswith(prefix + ":"): - raise ValueError(f"Term {term} is not prefixed with {prefix}") - elif isinstance(term, str) and not term.startswith(prefix + ":"): - raise ValueError(f"Term {term} is not prefixed with {prefix}") - -# Model Definitions - -class EnzymeMLDocument(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - name: str - references: list[str] = Field(default_factory=list) - created: Optional[str] = Field(default=None) - modified: Optional[str] = Field(default=None) - creators: list[Creator] = Field(default_factory=list) - vessels: list[Vessel] = Field(default_factory=list) - proteins: list[Protein] = Field(default_factory=list) - complexes: list[Complex] = Field(default_factory=list) - small_molecules: list[SmallMolecule] = Field(default_factory=list) - reactions: list[Reaction] = Field(default_factory=list) - measurements: list[Measurement] = Field(default_factory=list) - equations: list[Equation] = Field(default_factory=list) - parameters: list[Parameter] = Field(default_factory=list) - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:EnzymeMLDocument", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "name": "schema:title", - "references": { - "@id": "schema:citation", - "@type": "@id", - }, - "created": "schema:dateCreated", - "modified": "schema:dateModified", - "creators": "schema:creator", - } - ) - - def filter_creators(self, **kwargs) -> list[Creator]: - """Filters the creators attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[Creator]: The filtered list of Creator objects - """ - - return FilterWrapper[Creator](self.creators, **kwargs).filter() - - def filter_vessels(self, **kwargs) -> list[Vessel]: - """Filters the vessels attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[Vessel]: The filtered list of Vessel objects - """ - - return FilterWrapper[Vessel](self.vessels, **kwargs).filter() - - def filter_proteins(self, **kwargs) -> list[Protein]: - """Filters the proteins attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[Protein]: The filtered list of Protein objects - """ - - return FilterWrapper[Protein](self.proteins, **kwargs).filter() - - def filter_complexes(self, **kwargs) -> list[Complex]: - """Filters the complexes attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[Complex]: The filtered list of Complex objects - """ - - return FilterWrapper[Complex](self.complexes, **kwargs).filter() - - def filter_small_molecules(self, **kwargs) -> list[SmallMolecule]: - """Filters the small_molecules attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[SmallMolecule]: The filtered list of SmallMolecule objects - """ - - return FilterWrapper[SmallMolecule](self.small_molecules, **kwargs).filter() - - def filter_reactions(self, **kwargs) -> list[Reaction]: - """Filters the reactions attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[Reaction]: The filtered list of Reaction objects - """ - - return FilterWrapper[Reaction](self.reactions, **kwargs).filter() - - def filter_measurements(self, **kwargs) -> list[Measurement]: - """Filters the measurements attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[Measurement]: The filtered list of Measurement objects - """ - - return FilterWrapper[Measurement](self.measurements, **kwargs).filter() - - def filter_equations(self, **kwargs) -> list[Equation]: - """Filters the equations attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[Equation]: The filtered list of Equation objects - """ - - return FilterWrapper[Equation](self.equations, **kwargs).filter() - - def filter_parameters(self, **kwargs) -> list[Parameter]: - """Filters the parameters attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[Parameter]: The filtered list of Parameter objects - """ - - return FilterWrapper[Parameter](self.parameters, **kwargs).filter() - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - - def add_to_creators( - self, - given_name: str, - family_name: str, - mail: str, - **kwargs, - ): - params = { - "given_name": given_name, - "family_name": family_name, - "mail": mail - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.creators.append( - Creator(**params) - ) - - return self.creators[-1] - - - def add_to_vessels( - self, - id: str, - name: str, - volume: float, - unit: UnitDefinition, - constant: bool= True, - **kwargs, - ): - params = { - "id": id, - "name": name, - "volume": volume, - "unit": unit, - "constant": constant - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.vessels.append( - Vessel(**params) - ) - - return self.vessels[-1] - - - def add_to_proteins( - self, - id: str, - name: str, - constant: bool= False, - sequence: Optional[str]= None, - vessel_id: Optional[str]= None, - ecnumber: Optional[str]= None, - organism: Optional[str]= None, - organism_tax_id: Optional[str]= None, - references: list[str]= [], - **kwargs, - ): - params = { - "id": id, - "name": name, - "constant": constant, - "sequence": sequence, - "vessel_id": vessel_id, - "ecnumber": ecnumber, - "organism": organism, - "organism_tax_id": organism_tax_id, - "references": references - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.proteins.append( - Protein(**params) - ) - - return self.proteins[-1] - - - def add_to_complexes( - self, - id: str, - name: str, - constant: bool= False, - vessel_id: Optional[str]= None, - participants: list[str]= [], - **kwargs, - ): - params = { - "id": id, - "name": name, - "constant": constant, - "vessel_id": vessel_id, - "participants": participants - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.complexes.append( - Complex(**params) - ) - - return self.complexes[-1] - - - def add_to_small_molecules( - self, - id: str, - name: str, - constant: bool= False, - vessel_id: Optional[str]= None, - canonical_smiles: Optional[str]= None, - inchi: Optional[str]= None, - inchikey: Optional[str]= None, - references: list[str]= [], - **kwargs, - ): - params = { - "id": id, - "name": name, - "constant": constant, - "vessel_id": vessel_id, - "canonical_smiles": canonical_smiles, - "inchi": inchi, - "inchikey": inchikey, - "references": references - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.small_molecules.append( - SmallMolecule(**params) - ) - - return self.small_molecules[-1] - - - def add_to_reactions( - self, - id: str, - name: str, - reversible: bool= False, - kinetic_law: Optional[Equation]= None, - species: list[ReactionElement]= [], - modifiers: list[str]= [], - **kwargs, - ): - params = { - "id": id, - "name": name, - "reversible": reversible, - "kinetic_law": kinetic_law, - "species": species, - "modifiers": modifiers - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.reactions.append( - Reaction(**params) - ) - - return self.reactions[-1] - - - def add_to_measurements( - self, - id: str, - name: str, - species_data: list[MeasurementData]= [], - group_id: Optional[str]= None, - ph: Optional[float]= None, - temperature: Optional[float]= None, - temperature_unit: Optional[UnitDefinition]= None, - **kwargs, - ): - params = { - "id": id, - "name": name, - "species_data": species_data, - "group_id": group_id, - "ph": ph, - "temperature": temperature, - "temperature_unit": temperature_unit - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.measurements.append( - Measurement(**params) - ) - - return self.measurements[-1] - - - def add_to_equations( - self, - equation: str, - equation_type: EquationType, - species_id: Optional[str]= None, - variables: list[Variable]= [], - **kwargs, - ): - params = { - "equation": equation, - "equation_type": equation_type, - "species_id": species_id, - "variables": variables - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.equations.append( - Equation(**params) - ) - - return self.equations[-1] - - - def add_to_parameters( - self, - id: str, - name: str, - symbol: str, - value: Optional[float]= None, - unit: Optional[UnitDefinition]= None, - initial_value: Optional[float]= None, - upper: Optional[float]= None, - lower: Optional[float]= None, - stderr: Optional[float]= None, - constant: Optional[bool]= True, - **kwargs, - ): - params = { - "id": id, - "name": name, - "symbol": symbol, - "value": value, - "unit": unit, - "initial_value": initial_value, - "upper": upper, - "lower": lower, - "stderr": stderr, - "constant": constant - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.parameters.append( - Parameter(**params) - ) - - return self.parameters[-1] - -class Creator(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - given_name: str - family_name: str - mail: str - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Creator/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:Creator","schema:person" - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "given_name": "schema:givenName", - "family_name": "schema:familyName", - "mail": "schema:email", - } - ) - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - -class Vessel(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - id: str - name: str - volume: float - unit: UnitDefinition - constant: bool = True - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Vessel/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:Vessel","OBO:OBI_0400081" - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@id": "schema:identifier", - "@type": "@id", - }, - "name": "schema:name", - "volume": "OBO:OBI_0002139", - } - ) - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - -class Protein(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - id: str - name: str - constant: bool = False - sequence: Optional[str] = Field(default=None) - vessel_id: Optional[str] = Field(default=None) - ecnumber: Optional[str] = Field(default=None) - organism: Optional[str] = Field(default=None) - organism_tax_id: Optional[str] = Field(default=None) - references: list[str] = Field(default_factory=list) - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Protein/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:Protein","schema:Protein" - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@type": "@id", - }, - "name": "schema:name", - "sequence": "OBO:GSSO_007262", - "vessel_id": { - "@id": "schema:identifier", - "@type": "@id", - }, - "organism": "OBO:OBI_0100026", - "organism_tax_id": { - "@type": "@id", - }, - "references": { - "@id": "schema:citation", - "@type": "@id", - }, - } - ) - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - -class Complex(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - id: str - name: str - constant: bool = False - vessel_id: Optional[str] = Field(default=None) - participants: list[str] = Field(default_factory=list) - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Complex/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:Complex", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@id": "schema:identifier", - "@type": "@id", - }, - "name": "schema:name", - "vessel_id": { - "@id": "schema:identifier", - "@type": "@id", - }, - "participants": { - "@type": "@id", - }, - } - ) - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - -class SmallMolecule(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - id: str - name: str - constant: bool = False - vessel_id: Optional[str] = Field(default=None) - canonical_smiles: Optional[str] = Field(default=None) - inchi: Optional[str] = Field(default=None) - inchikey: Optional[str] = Field(default=None) - references: list[str] = Field(default_factory=list) - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:SmallMolecule", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@id": "schema:identifier", - "@type": "@id", - }, - "name": "schema:name", - "vessel_id": { - "@id": "schema:identifier", - "@type": "@id", - }, - "references": { - "@id": "schema:citation", - "@type": "@id", - }, - } - ) - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - -class Reaction(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - id: str - name: str - reversible: bool = False - kinetic_law: Optional[Equation] = Field(default=None) - species: list[ReactionElement] = Field(default_factory=list) - modifiers: list[str] = Field(default_factory=list) - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Reaction/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:Reaction", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@id": "schema:identifier", - "@type": "@id", - }, - "modifiers": { - "@type": "@id", - }, - } - ) - - def filter_species(self, **kwargs) -> list[ReactionElement]: - """Filters the species attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[ReactionElement]: The filtered list of ReactionElement objects - """ - - return FilterWrapper[ReactionElement](self.species, **kwargs).filter() - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - - def add_to_species( - self, - species_id: str, - stoichiometry: float, - **kwargs, - ): - params = { - "species_id": species_id, - "stoichiometry": stoichiometry - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.species.append( - ReactionElement(**params) - ) - - return self.species[-1] - - -class ReactionElement(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - species_id: str - stoichiometry: float - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:ReactionElement", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "species_id": { - "@type": "@id", - }, - } - ) - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - -class Equation(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - equation: str - equation_type: EquationType - species_id: Optional[str] = Field(default=None) - variables: list[Variable] = Field(default_factory=list) - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Equation/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:Equation", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "species_id": { - "@type": "@id", - }, - } - ) - - def filter_variables(self, **kwargs) -> list[Variable]: - """Filters the variables attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[Variable]: The filtered list of Variable objects - """ - - return FilterWrapper[Variable](self.variables, **kwargs).filter() - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - - def add_to_variables( - self, - id: str, - name: str, - symbol: str, - **kwargs, - ): - params = { - "id": id, - "name": name, - "symbol": symbol - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.variables.append( - Variable(**params) - ) - - return self.variables[-1] - -class Variable(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - id: str - name: str - symbol: str - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Variable/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:Variable", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "id": "schema:identifier", - } - ) - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - -class Parameter(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - id: str - name: str - symbol: str - value: Optional[float] = Field(default=None) - unit: Optional[UnitDefinition] = Field(default=None) - initial_value: Optional[float] = Field(default=None) - upper: Optional[float] = Field(default=None) - lower: Optional[float] = Field(default=None) - stderr: Optional[float] = Field(default=None) - constant: bool = True - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Parameter/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:Parameter", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@id": "schema:identifier", - "@type": "@id", - }, - } - ) - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - -class Measurement(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - id: str - name: str - species_data: list[MeasurementData] = Field(default_factory=list) - group_id: Optional[str] = Field(default=None) - ph: Optional[float] = Field(default=None) - temperature: Optional[float] = Field(default=None) - temperature_unit: Optional[UnitDefinition] = Field(default=None) - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:Measurement/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:Measurement", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "id": { - "@id": "schema:identifier", - "@type": "@id", - }, - "group_id": { - "@type": "@id", - }, - } - ) - - def filter_species_data(self, **kwargs) -> list[MeasurementData]: - """Filters the species_data attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[MeasurementData]: The filtered list of MeasurementData objects - """ - - return FilterWrapper[MeasurementData](self.species_data, **kwargs).filter() - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - - def add_to_species_data( - self, - species_id: str, - initial: float, - data_unit: UnitDefinition, - data_type: DataTypes, - prepared: Optional[float]= None, - data: list[float]= [], - time: list[float]= [], - time_unit: Optional[UnitDefinition]= None, - is_simulated: bool= False, - **kwargs, - ): - params = { - "species_id": species_id, - "initial": initial, - "data_unit": data_unit, - "data_type": data_type, - "prepared": prepared, - "data": data, - "time": time, - "time_unit": time_unit, - "is_simulated": is_simulated - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.species_data.append( - MeasurementData(**params) - ) - - return self.species_data[-1] - - -class MeasurementData(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - species_id: str - initial: float - data_unit: UnitDefinition - data_type: DataTypes - prepared: Optional[float] = Field(default=None) - data: list[float] = Field(default_factory=list) - time: list[float] = Field(default_factory=list) - time_unit: Optional[UnitDefinition] = Field(default=None) - is_simulated: bool = False - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:MeasurementData", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - "species_id": { - "@type": "@id", - }, - } - ) - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - -class UnitDefinition(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - id: Optional[str] = Field(default=None) - name: Optional[str] = Field(default=None) - base_units: list[BaseUnit] = Field(default_factory=list) - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:UnitDefinition/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:UnitDefinition", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - } - ) - - def filter_base_units(self, **kwargs) -> list[BaseUnit]: - """Filters the base_units attribute based on the given kwargs - - Args: - **kwargs: The attributes to filter by. - - Returns: - list[BaseUnit]: The filtered list of BaseUnit objects - """ - - return FilterWrapper[BaseUnit](self.base_units, **kwargs).filter() - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - - def add_to_base_units( - self, - kind: UnitType, - exponent: int, - multiplier: Optional[float]= None, - scale: Optional[float]= None, - **kwargs, - ): - params = { - "kind": kind, - "exponent": exponent, - "multiplier": multiplier, - "scale": scale - } - - if "id" in kwargs: - params["id"] = kwargs["id"] - - self.base_units.append( - BaseUnit(**params) - ) - - return self.base_units[-1] - -class BaseUnit(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assigment = True, - ) # type: ignore - - kind: UnitType - exponent: int - multiplier: Optional[float] = Field(default=None) - scale: Optional[float] = Field(default=None) - - # JSON-LD fields - ld_id: str = Field( - serialization_alias="@id", - default_factory=lambda: "enzml:BaseUnit/" + str(uuid4()) - ) - ld_type: list[str] = Field( - serialization_alias="@type", - default_factory = lambda: [ - "enzml:BaseUnit", - ], - ) - ld_context: dict[str, str | dict] = Field( - serialization_alias="@context", - default_factory = lambda: { - "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", - "OBO": "http://purl.obolibrary.org/obo/", - } - ) - - - def set_attr_term( - self, - attr: str, - term: str | dict, - prefix: str | None = None, - iri: str | None = None - ): - """Sets the term for a given attribute in the JSON-LD object - - Example: - # Using an IRI term - >> obj.set_attr_term("name", "http://schema.org/givenName") - - # Using a prefix and term - >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") - - # Usinng a dictionary term - >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) - - Args: - attr (str): The attribute to set the term for - term (str | dict): The term to set for the attribute - - Raises: - AssertionError: If the attribute is not found in the model - """ - - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_context[attr] = term - - def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None - ): - """Adds a term to the @type field of the JSON-LD object - - Example: - # Using a term - >> obj.add_type_term("https://schema.org/Person") - - # Using a prefixed term - >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") - - Args: - term (str): The term to add to the @type field - prefix (str, optional): The prefix to use for the term. Defaults to None. - iri (str, optional): The IRI to use for the term prefix. Defaults to None. - - Raises: - ValueError: If prefix is provided but iri is not - ValueError: If iri is provided but prefix is not - """ - - if prefix: - validate_prefix(term, prefix) - - add_namespace(self, prefix, iri) - self.ld_type.append(term) - - -class EquationType(Enum): - ASSIGNMENT = "assignment" - INITIAL_ASSIGNMENT = "initialAssignment" - ODE = "ode" - RATE_LAW = "rateLaw" - -class DataTypes(Enum): - ABSORBANCE = "http://purl.allotrope.org/ontologies/quality#AFQ_0000061" - CONCENTRATION = "http://purl.obolibrary.org/obo/PATO_0000033" - CONVERSION = "http://purl.allotrope.org/ontologies/quality#AFQ_0000226" - FLUORESCENCE = "http://purl.obolibrary.org/obo/PATO_0000018" - PEAK_AREA = "http://purl.allotrope.org/ontologies/result#AFR_0001073" - TRANSMITTANCE = "http://purl.allotrope.org/ontologies/result#AFR_0002261" - -class UnitType(Enum): - AMPERE = "ampere" - AVOGADRO = "avogadro" - BECQUEREL = "becquerel" - CANDELA = "candela" - CELSIUS = "celsius" - COULOMB = "coulomb" - DIMENSIONLESS = "dimensionless" - FARAD = "farad" - GRAM = "gram" - GRAY = "gray" - HENRY = "henry" - HERTZ = "hertz" - ITEM = "item" - JOULE = "joule" - KATAL = "katal" - KELVIN = "kelvin" - KILOGRAM = "kilogram" - LITRE = "litre" - LUMEN = "lumen" - LUX = "lux" - METRE = "metre" - MOLE = "mole" - NEWTON = "newton" - OHM = "ohm" - PASCAL = "pascal" - RADIAN = "radian" - SECOND = "second" - SIEMENS = "siemens" - SIEVERT = "sievert" - STERADIAN = "steradian" - TESLA = "tesla" - VOLT = "volt" - WATT = "watt" - WEBER = "weber" \ No newline at end of file diff --git a/pyenzyme/sbml/mappings.toml b/pyenzyme/sbml/mappings.toml deleted file mode 100644 index 73f0fc14..00000000 --- a/pyenzyme/sbml/mappings.toml +++ /dev/null @@ -1,38 +0,0 @@ -[smallMolecule] - -inchiKey = "inchikey" -smiles = "canonical_smiles" - -[protein] - -ecnumber = "ecnumber" -organism = "organism" -organismTaxId = "organism_tax_id" -sequence = "sequence" - -[complex] -participants = "participants" - -[conditions] - -ph = { "@value" = "ph" } -temperature = { "@value" = "temperature", "@unit" = "temperature_unit" } - -[parameter] - -lowerBound = "lower" -upperBound = "upper" -stdDeviation = "stderr" - -[measurement] - -"@id" = "id" -"@name" = "name" - -[speciesData] - -speciesData = { "@species" = "species_id", "@value" = "initial", "@unit" = "data_unit", "@type" = "data_type" } - -[variables] - -variable = { "@id" = "id", "@name" = "name", "@symbol" = "symbol" } diff --git a/pyenzyme/units/__init__.py b/pyenzyme/units/__init__.py deleted file mode 100644 index 25903882..00000000 --- a/pyenzyme/units/__init__.py +++ /dev/null @@ -1 +0,0 @@ -from .predefined import * # noqa: F403 diff --git a/pyenzyme/units/ontomaps.toml b/pyenzyme/units/ontomaps.toml deleted file mode 100644 index 0a2f5517..00000000 --- a/pyenzyme/units/ontomaps.toml +++ /dev/null @@ -1,40 +0,0 @@ -[substance] - -mol = "OBO:UO_0000013" -mmol = "OBO:UO_0000040" -umol = "OBO:UO_0000039" -nmol = "OBO:UO_0000041" - -[molarity] - -M = "OBO:UO_0000062" -mM = "OBO:UO_0000063" -uM = "OBO:UO_0000064" -nM = "OBO:UO_0000025" - -[time] - -s = "OBO:UO_0000010" -min = "OBO:UO_0000031" -hour = "OBO:UO_0000032" -day = "OBO:UO_0000033" - -[temperature] - -K = "OBO:UO_0000012" -C = "OBO:UO_0000027" - -[mass] - -kg = "OBO:UO_0000009" -g = "OBO:UO_0000021" -mg = "OBO:UO_0000022" -ug = "OBO:UO_0000023" -ng = "OBO:UO_0000024" - -[volume] - -litre = "OBO:UO_0000099" -ml = "OBO:UO_0000098" -ul = "OBO:UO_0000101" -nl = "OBO:UO_0000102" diff --git a/pyenzyme/units/predefined.py b/pyenzyme/units/predefined.py deleted file mode 100644 index 2591f3a8..00000000 --- a/pyenzyme/units/predefined.py +++ /dev/null @@ -1,152 +0,0 @@ -from pyenzyme.model import UnitType -from pyenzyme.tools import read_static_file - -from .units import BaseUnit, UnitDefinition, Prefix - -BaseUnit.model_rebuild() -UnitDefinition.model_rebuild() - -ONTOMAPS = read_static_file("pyenzyme.units", "ontomaps.toml") - - -class Unit: - @staticmethod - def mol(): - return BaseUnit(kind=UnitType.MOLE, exponent=1, scale=1) - - @staticmethod - def litre(): - return BaseUnit(kind=UnitType.LITRE, exponent=1, scale=1) - - @staticmethod - def second(): - return BaseUnit(kind=UnitType.SECOND, exponent=1, scale=1) - - @staticmethod - def minute(): - return BaseUnit(kind=UnitType.SECOND, exponent=1, scale=1, multiplier=60) - - @staticmethod - def hour(): - hour = 60 * 60 - return BaseUnit(kind=UnitType.SECOND, exponent=1, scale=1, multiplier=hour) - - @staticmethod - def day(): - day = 60**2 * 24 - return BaseUnit(kind=UnitType.SECOND, exponent=1, scale=1, multiplier=day) - - @staticmethod - def gram(): - return BaseUnit(kind=UnitType.GRAM, exponent=1, scale=1) - - @staticmethod - def kelvin(): - return BaseUnit(kind=UnitType.KELVIN, exponent=1, scale=1) - - @staticmethod - def celsius(): - return BaseUnit(kind=UnitType.CELSIUS, exponent=1, scale=1) - - @staticmethod - def dimensionless(): - return BaseUnit(kind=UnitType.DIMENSIONLESS, exponent=1, scale=1) - - -###### Single Prefixes ###### - -k = Prefix.k -m = Prefix.m -u = Prefix.u -n = Prefix.n - -##### Predefined units ##### - -# Dimensionless -dimensionless = UnitDefinition(base_units=[Unit.dimensionless()]) - -# Molarity -M = Unit.mol() / Unit.litre() -mM = m * Unit.mol() / Unit.litre() -uM = u * Unit.mol() / Unit.litre() -nM = n * Unit.mol() / Unit.litre() - -## Ontology -M.ld_id = ONTOMAPS["molarity"]["M"] -mM.ld_id = ONTOMAPS["molarity"]["mM"] -uM.ld_id = ONTOMAPS["molarity"]["uM"] -nM.ld_id = ONTOMAPS["molarity"]["nM"] - -# Substance -mol = UnitDefinition(base_units=[Unit.mol()])._get_name() -mmol = UnitDefinition(base_units=[m * Unit.mol()])._get_name() -umol = UnitDefinition(base_units=[u * Unit.mol()])._get_name() -nmol = UnitDefinition(base_units=[n * Unit.mol()])._get_name() - -## Ontology -mol.ld_id = ONTOMAPS["substance"]["mol"] -mmol.ld_id = ONTOMAPS["substance"]["mmol"] -umol.ld_id = ONTOMAPS["substance"]["umol"] -nmol.ld_id = ONTOMAPS["substance"]["nmol"] - -# Mass -gram = UnitDefinition(base_units=[Unit.gram()])._get_name() -g = UnitDefinition(base_units=[Unit.gram()])._get_name() -mg = UnitDefinition(base_units=[m * Unit.gram()])._get_name() -ug = UnitDefinition(base_units=[u * Unit.gram()])._get_name() -ng = UnitDefinition(base_units=[n * Unit.gram()])._get_name() -kg = UnitDefinition(base_units=[k * Unit.gram()])._get_name() - -## Ontology -g.ld_id = ONTOMAPS["mass"]["g"] -gram.ld_id = ONTOMAPS["mass"]["g"] -mg.ld_id = ONTOMAPS["mass"]["mg"] -ug.ld_id = ONTOMAPS["mass"]["ug"] -ng.ld_id = ONTOMAPS["mass"]["ng"] - -# Volume -litre = UnitDefinition(base_units=[Unit.litre()])._get_name() -l = UnitDefinition(base_units=[Unit.litre()])._get_name() # noqa: E741 -ml = UnitDefinition(base_units=[m * Unit.litre()])._get_name() -ul = UnitDefinition(base_units=[u * Unit.litre()])._get_name() -nl = UnitDefinition(base_units=[n * Unit.litre()])._get_name() - -## Ontology - -l.ld_id = ONTOMAPS["volume"]["litre"] -litre.ld_id = ONTOMAPS["volume"]["litre"] -ml.ld_id = ONTOMAPS["volume"]["ml"] -ul.ld_id = ONTOMAPS["volume"]["ul"] -nl.ld_id = ONTOMAPS["volume"]["nl"] - -# Time -second = UnitDefinition(base_units=[Unit.second()])._get_name() -s = UnitDefinition(base_units=[Unit.second()])._get_name() -minute = UnitDefinition(base_units=[Unit.minute()])._get_name() -min = UnitDefinition(base_units=[Unit.minute()])._get_name() -hour = UnitDefinition(base_units=[Unit.hour()])._get_name() -h = UnitDefinition(base_units=[Unit.hour()])._get_name() -day = UnitDefinition(base_units=[Unit.day()])._get_name() -d = UnitDefinition(base_units=[Unit.day()])._get_name() - -## Ontology -s.ld_id = ONTOMAPS["time"]["s"] -second.ld_id = ONTOMAPS["time"]["s"] -minute.ld_id = ONTOMAPS["time"]["min"] -min.ld_id = ONTOMAPS["time"]["min"] -hour.ld_id = ONTOMAPS["time"]["hour"] -h.ld_id = ONTOMAPS["time"]["hour"] -day.ld_id = ONTOMAPS["time"]["day"] -d.ld_id = ONTOMAPS["time"]["day"] - -# Temperature - -kelvin = UnitDefinition(base_units=[Unit.kelvin()])._get_name() -K = UnitDefinition(base_units=[Unit.kelvin()])._get_name() -celsius = UnitDefinition(base_units=[Unit.celsius()])._get_name() -C = UnitDefinition(base_units=[Unit.celsius()])._get_name() - -## Ontology - -K.ld_id = ONTOMAPS["temperature"]["K"] -kelvin.ld_id = ONTOMAPS["temperature"]["K"] diff --git a/pyenzyme/units/units.py b/pyenzyme/units/units.py deleted file mode 100644 index e44633fa..00000000 --- a/pyenzyme/units/units.py +++ /dev/null @@ -1,401 +0,0 @@ -from copy import deepcopy -from enum import Enum -from functools import partial -import sys - -from pydantic import model_validator - -from pyenzyme.model import ( - UnitDefinition as _UnitDefinition, - BaseUnit as _BaseUnit, - UnitType, -) - -UNIT_OF_MEAS_TYPE = "OBO:UO_0000000" -NAME_MAPS = { - UnitType.LITRE: "l", - UnitType.MOLE: "mol", - UnitType.SECOND: "s", - UnitType.GRAM: "g", - UnitType.KELVIN: "K", -} - - -def _is_unit(other: object) -> bool: - """Check if the given object is an instance of 'unit'. - - Args: - other (object): The object to check. - - Returns: - bool: True if the object is an instance of 'unit', False otherwise. - """ - return other.__class__.__name__ == "unit" - - -def set_scale(unit: _BaseUnit, scale: int) -> _BaseUnit: - """Set the scale of a unit. - - Args: - unit (_BaseUnit): The unit to set the scale for. - scale (int): The scale value to set. - - Returns: - _BaseUnit: The unit with the updated scale. - """ - unit.scale = scale - return unit - - -class Prefix(Enum): - """Enumeration for unit prefixes with corresponding scales.""" - - if sys.version_info >= (3, 13): - from enum import member - - k = member(partial(set_scale, scale=3)) - m = member(partial(set_scale, scale=-3)) - u = member(partial(set_scale, scale=-6)) - n = member(partial(set_scale, scale=-9)) - else: - k = partial(set_scale, scale=3) - m = partial(set_scale, scale=-3) - u = partial(set_scale, scale=-6) - n = partial(set_scale, scale=-9) - - def __mul__(self, other: _BaseUnit) -> _BaseUnit: - """Multiply prefix with a BaseUnit. - - When multiplying a prefix with a BaseUnit, the scale of the BaseUnit is updated. - - Args: - other (_BaseUnit): The other operand, which should be a BaseUnit. - - Returns: - _BaseUnit: The resulting unit with the prefix applied. - - Raises: - TypeError: If the other operand is not a BaseUnit. - """ - if isinstance(other, _BaseUnit): - return self.value(other) - - raise TypeError( - f"unsupported operand type(s) for *: 'Prefix' and '{type(other)}'" - ) - - -class UnitDefinition(_UnitDefinition): - """Extended UnitDefinition class with additional operations.""" - - @model_validator(mode="after") - def set_name_and_type(self): - """Initialize the UnitDefinition object.""" - self._get_name() - self.ld_type = [UNIT_OF_MEAS_TYPE] - return self - - def __rtruediv__(self, other: object) -> "UnitDefinition": - """Right division operation to handle unit division. - - If the other operand is a UnitDefinition, the base units are appended to the current unit. - If the other operand is a BaseUnit, the base unit is appended to the current unit. - - Args: - other (object): The numerator in the division. - - Returns: - UnitDefinition: The resulting unit after division. - - Raises: - TypeError: If the other operand type is unsupported. - """ - - unit_def = deepcopy(self) - unit_def.id = None - - for base in unit_def.base_units: - base.exponent = -abs(base.exponent) - - if isinstance(other, UnitDefinition): - unit_def.base_units.extend(other.base_units) - elif isinstance(other, _BaseUnit): - unit_def.base_units.append(other) - - unit_def._get_name() - - return unit_def - - def __truediv__(self, other: object) -> "UnitDefinition": - """Division operation to handle unit division. - - If the other operand is a UnitDefinition, the base units are appended to the current unit. - If the other operand is a BaseUnit, the base unit is appended to the current unit. - - Args: - other (object): The numerator in the - - Returns: - UnitDefinition: The resulting unit after division. - - Raises: - TypeError: If the other operand type is unsupported. - - """ - - unit_def = deepcopy(self) - unit_def.id = None - - if isinstance(other, UnitDefinition): - for base in other.base_units: - base.exponent = -abs(base.exponent) - unit_def.base_units.extend(other.base_units) - elif isinstance(other, _BaseUnit): - other.exponent = -abs(other.exponent) - unit_def.base_units.append(other) - - unit_def._get_name() - - return unit_def - - def __mul__(self, other: object) -> "UnitDefinition": - """Multiplication operation to handle unit multiplication. - - Args: - other (object): The multiplier in the multiplication. - - Returns: - UnitDefinition: The resulting unit after multiplication. - - Raises: - TypeError: If the other operand type is unsupported. - """ - - unit_def = deepcopy(self) - unit_def.id = None - - if isinstance(other, (int, float)): - for base in unit_def.base_units: - if base.multiplier: - base.multiplier *= other - else: - base.multiplier = other - - unit_def._get_name() - - return unit_def - - raise TypeError( - f"unsupported operand type(s) for *: 'UnitDefinition' and '{type(other)}'" - ) - - def _get_name(self): - """Get the name of the unit based on the base units.""" - self.name = str(self) - - return self - - def __str__(self) -> str: - """String representation of the UnitDefinition. - - Returns: - str: The string representation of the unit. - - Raises: - ValueError: If no base units are found. - """ - - numerator = [ - self._map_prefix(base.scale) - + self._map_name(base.kind) - + self._exponent(base.exponent) - for base in self.base_units - if base.exponent > 0 - ] - denominator = [ - self._map_prefix(base.scale) - + self._map_name(base.kind) - + self._exponent(base.exponent) - for base in self.base_units - if base.exponent < 0 - ] - - numerator_str = " ".join(numerator) if numerator else "" - denominator_str = " ".join(denominator) if denominator else "" - - if numerator_str and denominator_str: - return f"{numerator_str} / {denominator_str}" - elif numerator_str: - return numerator_str - elif denominator_str: - return f"1 / {denominator_str}" - - raise ValueError("No base units found") - - @staticmethod - def _map_prefix(scale: int | None) -> str: - """Map a scale to its corresponding prefix. - - Args: - scale (int): The scale value to map. - - Returns: - str: The corresponding prefix. - """ - - if scale is None: - return "" - - mapping = { - 3: "k", - -3: "m", - -6: "u", - -9: "n", - } - - return mapping.get(scale, "") - - @staticmethod - def _map_name(kind: UnitType) -> str: - return NAME_MAPS.get(kind, kind.name.capitalize()) - - @staticmethod - def _exponent(exponent: int) -> str: - """Format the exponent for display. - - Args: - exponent (int): The exponent value to format. - - Returns: - str: The formatted exponent string. - """ - if abs(exponent) == 1: - return "" - - return f"^{abs(exponent)}" - - -class BaseUnit(_BaseUnit): - """Extended BaseUnit class with additional operations.""" - - def __rtruediv__(self, other: object) -> "UnitDefinition | BaseUnit": - """Right division operation to handle unit division. - - Args: - other (object): The numerator in the division. - - Returns: - UnitDefinition: The resulting unit after division. - - Raises: - TypeError: If the other operand type is unsupported. - """ - - base_unit = deepcopy(self) - - if isinstance(other, UnitDefinition): - base_unit.exponent = -base_unit.exponent - other.base_units.append(base_unit) - - other._get_name() - - return other - elif isinstance(other, (int, float)): - base_unit.exponent = -base_unit.exponent - return base_unit - - raise TypeError( - f"unsupported operand type(s) for /: 'BaseUnit' and '{type(other)}'" - ) - - def __truediv__(self, other: object) -> "UnitDefinition": - """Division operation to handle unit division. - - Args: - other (object): The denominator in the division. - - Returns: - UnitDefinition: The resulting unit after division. - - Raises: - TypeError: If the other operand type is unsupported. - """ - - this_bu = deepcopy(self) - - if isinstance(other, BaseUnit): - other.exponent = -other.exponent - return UnitDefinition(base_units=[this_bu, other])._get_name() - elif isinstance(other, UnitDefinition): - for base_unit in other.base_units: - base_unit.exponent = -base_unit.exponent - other.base_units.append(this_bu) - other._get_name() - - return other - - raise TypeError( - f"unsupported operand type(s) for /: 'BaseUnit' and '{type(other)}'" - ) - - def __pow__(self, other: int) -> "_BaseUnit": - """Exponentiation operation to handle unit exponentiation. - - Args: - other (int): The exponent value. - - Returns: - _BaseUnit: The resulting unit after exponentiation. - - Raises: - TypeError: If the exponent is not an integer. - """ - - this_bu = deepcopy(self) - - if isinstance(other, int): - this_bu.exponent = other - return this_bu - - raise TypeError( - f"unsupported operand type(s) for **: 'BaseUnit' and '{type(other)}'" - ) - - def __mul__(self, other: object) -> object: - """Multiplication operation to handle unit multiplication. - - Args: - other (object): The multiplier in the multiplication. - - Returns: - object: The resulting unit after multiplication. - - Raises: - TypeError: If the other operand type is unsupported. - """ - - this_bu = deepcopy(self) - - if isinstance(other, BaseUnit): - if this_bu.exponent < 0 or other.exponent < 0: - this_bu.exponent = abs(this_bu.exponent) - other.exponent = abs(other.exponent) - - return UnitDefinition(base_units=[this_bu, other])._get_name() - elif isinstance(other, UnitDefinition): - other.base_units.append(this_bu) - other._get_name() - - return other - elif isinstance(other, Prefix): - return other * this_bu - elif isinstance(other, (int, float)): - if this_bu.multiplier: - this_bu.multiplier *= other - else: - this_bu.multiplier = other - return this_bu - - raise TypeError( - f"unsupported operand type(s) for *: 'BaseUnit' and '{type(other)}'" - ) From bb0db4a994055004cea4e5107abef92114931e30 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 01:21:57 +0200 Subject: [PATCH 094/172] remove unused assets --- pyproject.toml | 1 - 1 file changed, 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index a9da80ae..679a0d60 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,7 +5,6 @@ description = "" authors = ["Jan Range "] license = "MIT" readme = "README.md" -include = ["pyenzyme/units/ontomaps.toml", "pyenzyme/sbml/mappings.toml"] [tool.poetry.dependencies] python = "^3.10" From c83c8a50b7beb49443bbbd50bab8e59e48026557 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 01:42:10 +0200 Subject: [PATCH 095/172] shorten names --- pyenzyme/__init__.py | 1 + pyenzyme/fetcher/__init__.py | 12 ++++++------ pyenzyme/fetcher/brenda.py | 0 pyenzyme/fetcher/chebi.py | 10 +++++++--- pyenzyme/fetcher/rhea.py | 16 +++++++++++----- pyenzyme/fetcher/uniprot.py | 8 ++++++-- tests/integration/test_fetcher.py | 16 ++++++++-------- 7 files changed, 39 insertions(+), 24 deletions(-) delete mode 100644 pyenzyme/fetcher/brenda.py diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index e4db8855..d0b72925 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -4,6 +4,7 @@ from .versions.v2 import * # noqa: F403 from .versions.io import EnzymeMLHandler +from .fetcher import * # noqa: F403 from .suite import EnzymeMLSuite # Input functions diff --git a/pyenzyme/fetcher/__init__.py b/pyenzyme/fetcher/__init__.py index 8bfb9ac6..acc49191 100644 --- a/pyenzyme/fetcher/__init__.py +++ b/pyenzyme/fetcher/__init__.py @@ -1,9 +1,9 @@ -from .chebi import fetch_chebi_to_small_molecule -from .uniprot import fetch_uniprot_to_protein -from .rhea import fetch_rhea_to_reaction +from .chebi import fetch_chebi +from .uniprot import fetch_uniprot +from .rhea import fetch_rhea __all__ = [ - "fetch_chebi_to_small_molecule", - "fetch_uniprot_to_protein", - "fetch_rhea_to_reaction", + "fetch_chebi", + "fetch_uniprot", + "fetch_rhea", ] diff --git a/pyenzyme/fetcher/brenda.py b/pyenzyme/fetcher/brenda.py deleted file mode 100644 index e69de29b..00000000 diff --git a/pyenzyme/fetcher/chebi.py b/pyenzyme/fetcher/chebi.py index 33b8ac07..9403a5c5 100644 --- a/pyenzyme/fetcher/chebi.py +++ b/pyenzyme/fetcher/chebi.py @@ -7,7 +7,7 @@ import requests import re -from typing import List, Optional, Union +from typing import Optional, Union from pydantic_xml import element, attr, BaseXmlModel from pyenzyme.versions import v2 @@ -166,13 +166,16 @@ def get_entry_by_id(self, chebi_id: str) -> Union[ChEBIEntity, None]: raise ConnectionError(f"Connection to ChEBI server failed: {str(e)}") -def fetch_chebi_to_small_molecule(chebi_id: str) -> v2.SmallMolecule: +def fetch_chebi( + chebi_id: str, + vessel_id: Optional[str] = None, +) -> v2.SmallMolecule: """ Fetch a ChEBI entry by ID and convert it to a SmallMolecule object. Args: chebi_id: The ChEBI ID to fetch - + vessel_id: The ID of the vessel to add the small molecule to Returns: A SmallMolecule object with data from ChEBI @@ -194,6 +197,7 @@ def fetch_chebi_to_small_molecule(chebi_id: str) -> v2.SmallMolecule: inchi=chebi_entity.inchi, inchikey=chebi_entity.inchikey, constant=False, # Default to non-constant + vessel_id=vessel_id, ) # Add type term for ChEBI source diff --git a/pyenzyme/fetcher/rhea.py b/pyenzyme/fetcher/rhea.py index 6802cadb..011e815d 100644 --- a/pyenzyme/fetcher/rhea.py +++ b/pyenzyme/fetcher/rhea.py @@ -8,11 +8,11 @@ from io import StringIO import pandas as pd from pydantic import BaseModel, ConfigDict -from typing import List, ClassVar, Tuple +from typing import List, ClassVar, Optional, Tuple import requests -from pyenzyme.fetcher.chebi import fetch_chebi_to_small_molecule +from pyenzyme.fetcher.chebi import fetch_chebi from pyenzyme.versions import v2 @@ -138,7 +138,10 @@ def fetch_json(query: str) -> RheaQuery: return RheaQuery.model_validate(response.json()) -def fetch_rhea_to_reaction(rhea_id: str) -> Tuple[v2.Reaction, List[v2.SmallMolecule]]: +def fetch_rhea( + rhea_id: str, + vessel_id: Optional[str] = None, +) -> Tuple[v2.Reaction, List[v2.SmallMolecule]]: """ Fetch a Rhea entry by ID and convert it to a Reaction object. @@ -148,7 +151,7 @@ def fetch_rhea_to_reaction(rhea_id: str) -> Tuple[v2.Reaction, List[v2.SmallMole Args: rhea_id: The Rhea ID to fetch, can be with or without the 'RHEA:' prefix - + vessel_id: The ID of the vessel to add the small molecules to Returns: A tuple containing: - A Reaction object with data from Rhea @@ -170,7 +173,10 @@ def fetch_rhea_to_reaction(rhea_id: str) -> Tuple[v2.Reaction, List[v2.SmallMole # Process each chemical species in the reaction for i in range(n_reactants + n_products): - small_molecule = fetch_chebi_to_small_molecule(client.chebi_ids[i]) + small_molecule = fetch_chebi( + client.chebi_ids[i], + vessel_id=vessel_id, + ) small_molecules.append(small_molecule) if i < n_reactants: diff --git a/pyenzyme/fetcher/uniprot.py b/pyenzyme/fetcher/uniprot.py index 7055b72b..829c8371 100644 --- a/pyenzyme/fetcher/uniprot.py +++ b/pyenzyme/fetcher/uniprot.py @@ -109,13 +109,16 @@ def get_entry_by_id(self, uniprot_id: str) -> Union[UniProtEntry, None]: raise ConnectionError(f"Connection to UniProt server failed: {str(e)}") -def fetch_uniprot_to_protein(uniprot_id: str) -> v2.Protein: +def fetch_uniprot( + uniprot_id: str, + vessel_id: Optional[str] = None, +) -> v2.Protein: """ Fetch a UniProt entry by ID and convert it to a Protein object. Args: uniprot_id: The UniProt ID to fetch - + vessel_id: The ID of the vessel to add the protein to Returns: A Protein object with data from UniProt @@ -172,6 +175,7 @@ def fetch_uniprot_to_protein(uniprot_id: str) -> v2.Protein: organism_tax_id=organism_tax_id, ecnumber=ecnumber, constant=True, # Default to constant + vessel_id=vessel_id, ) # Add type term for UniProt source diff --git a/tests/integration/test_fetcher.py b/tests/integration/test_fetcher.py index 4f2ba962..d03e3f2e 100644 --- a/tests/integration/test_fetcher.py +++ b/tests/integration/test_fetcher.py @@ -1,12 +1,12 @@ import pytest -from pyenzyme.fetcher.chebi import fetch_chebi_to_small_molecule -from pyenzyme.fetcher.rhea import fetch_rhea_to_reaction -from pyenzyme.fetcher.uniprot import fetch_uniprot_to_protein +from pyenzyme.fetcher.chebi import fetch_chebi +from pyenzyme.fetcher.rhea import fetch_rhea +from pyenzyme.fetcher.uniprot import fetch_uniprot class TestFetcher: def test_fetch_chebi_to_small_molecule(self): - small_molecule = fetch_chebi_to_small_molecule("CHEBI:15377") + small_molecule = fetch_chebi("CHEBI:15377") assert small_molecule is not None assert small_molecule.id == "CHEBI_15377" assert small_molecule.name == "water" @@ -22,10 +22,10 @@ def test_fetch_chebi_to_small_molecule(self): def test_fetch_chebi_to_small_molecule_invalid_id(self): with pytest.raises(ValueError): - fetch_chebi_to_small_molecule("INVALID_ID") + fetch_chebi("INVALID_ID") def test_fetch_uniprot_to_protein(self): - protein = fetch_uniprot_to_protein("P07327") + protein = fetch_uniprot("P07327") assert protein is not None assert protein.id == "P07327" @@ -41,7 +41,7 @@ def test_fetch_uniprot_to_protein(self): assert protein.references[0] == "https://www.uniprot.org/uniprotkb/P07327" def test_fetch_rhea_to_reaction(self): - reaction, small_molecules = fetch_rhea_to_reaction("RHEA:22864") + reaction, small_molecules = fetch_rhea("RHEA:22864") reaction.species.sort(key=lambda x: x.species_id) small_molecules.sort(key=lambda x: x.id) @@ -64,4 +64,4 @@ def test_fetch_rhea_to_reaction(self): def test_fetch_rhea_to_reaction_invalid_id(self): with pytest.raises(ValueError): - fetch_rhea_to_reaction("INVALID_ID") + fetch_rhea("INVALID_ID") From d5144f9f708720eda6599b66a5e649013b318ca6 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 01:42:18 +0200 Subject: [PATCH 096/172] add example code --- README.md | 36 ++++++++++++++++++++++++++++++++---- 1 file changed, 32 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index d3ce498a..79a92139 100644 --- a/README.md +++ b/README.md @@ -60,12 +60,40 @@ python -m pip install "pyenzyme[all]" ## ⚙️ Example code -This example will demonstrate how to create a simple EnzymeML document using PyEnzyme and how to use initializers from -official databases **Chebi** and **UniProt** to gather metadata. For more examples, please visit -our [documentation](https://pyenzyme.readthedocs.io/en/latest/index.html#) (Work in progress) +This example will demonstrate how to create a simple EnzymeML document using PyEnzyme and how to use initializers from official databases **Chebi** and **UniProt** to gather metadata. + +### Create a simple EnzymeML document ```python -# To be added for V2 +import pyenzyme as pe + +# Create a simple EnzymeML document +enzmldoc = pe.EnzymeMLDocument(name="Test") + +vessel = enzmldoc.add_to_vessels( + id="vessel_1", + name="Vessel 1", + volume=1.0, + unit="l", # Units are automatically converted to a UnitDefinition +) + +# Add a species from Chebi +protein = pe.fetch_uniprot("P07327", vessel_id=vessel.id) +enzmldoc.proteins.append(protein) + +# Add a reaction from RHEA DB +reaction, participants = pe.fetch_rhea("RHEA:22864", vessel_id=vessel.id) +enzmldoc.small_molecules += participants +enzmldoc.reactions.append(reaction) + +# Serialize to EnzymeML +pe.write_enzymeml(enzmldoc, "enzmldoc.json") + +# Deserialize from EnzymeML +enzmldoc = pe.read_enzymeml("enzmldoc.json") + +# Convert to SBML +sbml_doc = pe.to_sbml(enzmldoc, "enzmldoc.omex") ``` (Code should run as it is) From 8e9c5ccc446611bc74c6f8457470eaca68d18c1f Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 01:45:33 +0200 Subject: [PATCH 097/172] add tabular parser --- README.md | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/README.md b/README.md index 79a92139..b8c48241 100644 --- a/README.md +++ b/README.md @@ -86,6 +86,15 @@ reaction, participants = pe.fetch_rhea("RHEA:22864", vessel_id=vessel.id) enzmldoc.small_molecules += participants enzmldoc.reactions.append(reaction) +# Parse a tabular file to a measurement +measurements = pe.from_excel( + path="measurements.xlsx", + data_unit="mmol / l", + time_unit="h", +) + +enzmldoc.measurements += measurements + # Serialize to EnzymeML pe.write_enzymeml(enzmldoc, "enzmldoc.json") From 6b1ff12f8a5f0958e2cfce72824105c5f1f593ea Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 01:46:39 +0200 Subject: [PATCH 098/172] typo --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index b8c48241..54ced0ab 100644 --- a/README.md +++ b/README.md @@ -77,7 +77,7 @@ vessel = enzmldoc.add_to_vessels( unit="l", # Units are automatically converted to a UnitDefinition ) -# Add a species from Chebi +# Add a protein from UniProt protein = pe.fetch_uniprot("P07327", vessel_id=vessel.id) enzmldoc.proteins.append(protein) From 2fafd36ade122347c59192f9f1ca5cfddf5e4897 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 12:25:12 +0200 Subject: [PATCH 099/172] rename modules --- pyenzyme/equations/__init__.py | 6 ++++-- pyenzyme/equations/{_chem.py => chem.py} | 0 pyenzyme/equations/{_math.py => math.py} | 0 3 files changed, 4 insertions(+), 2 deletions(-) rename pyenzyme/equations/{_chem.py => chem.py} (100%) rename pyenzyme/equations/{_math.py => math.py} (100%) diff --git a/pyenzyme/equations/__init__.py b/pyenzyme/equations/__init__.py index 21bae2f4..0965ff95 100644 --- a/pyenzyme/equations/__init__.py +++ b/pyenzyme/equations/__init__.py @@ -1,2 +1,4 @@ -from ._math import build_equation, build_equations # noqa: F401 -from ._chem import build_reaction, build_reactions # noqa: F401 +from .math import build_equation, build_equations # noqa: F401 +from .chem import build_reaction, build_reactions # noqa: F401 + +__all__ = ["build_equation", "build_equations", "build_reaction", "build_reactions"] diff --git a/pyenzyme/equations/_chem.py b/pyenzyme/equations/chem.py similarity index 100% rename from pyenzyme/equations/_chem.py rename to pyenzyme/equations/chem.py diff --git a/pyenzyme/equations/_math.py b/pyenzyme/equations/math.py similarity index 100% rename from pyenzyme/equations/_math.py rename to pyenzyme/equations/math.py From e3994c59bcc342b094fdab0a645857d1a2a4cbfe Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 12:25:40 +0200 Subject: [PATCH 100/172] process name and use as `id` --- pyenzyme/fetcher/chebi.py | 17 +++++++++++- pyenzyme/fetcher/uniprot.py | 16 +++++++++++- tests/integration/test_fetcher.py | 43 ++++++++++++++++++++++++++----- 3 files changed, 68 insertions(+), 8 deletions(-) diff --git a/pyenzyme/fetcher/chebi.py b/pyenzyme/fetcher/chebi.py index 9403a5c5..c5f73857 100644 --- a/pyenzyme/fetcher/chebi.py +++ b/pyenzyme/fetcher/chebi.py @@ -168,6 +168,7 @@ def get_entry_by_id(self, chebi_id: str) -> Union[ChEBIEntity, None]: def fetch_chebi( chebi_id: str, + smallmol_id: Optional[str] = None, vessel_id: Optional[str] = None, ) -> v2.SmallMolecule: """ @@ -190,8 +191,11 @@ def fetch_chebi( raise ValueError(f"No data found for ChEBI ID {chebi_id}") # Create a SmallMolecule instance + if smallmol_id is None: + smallmol_id = process_id(chebi_entity.chebi_ascii_name) + small_molecule = v2.SmallMolecule( - id=chebi_entity.chebi_id.replace(":", "_"), + id=smallmol_id, name=chebi_entity.chebi_ascii_name, canonical_smiles=chebi_entity.smiles, inchi=chebi_entity.inchi, @@ -216,3 +220,14 @@ def fetch_chebi( ) return small_molecule + + +def process_id(name: str) -> str: + """ + Process the ID of a ChEBI entity. + + Replaces special characters and intial non-alpha characters with an underscore. + """ + # Replace non-alphanumeric characters with underscore + # and then replace multiple consecutive underscores with a single one + return re.sub(r"_+", "_", re.sub(r"[^a-zA-Z0-9]+", "_", name)).lower().strip("_") diff --git a/pyenzyme/fetcher/uniprot.py b/pyenzyme/fetcher/uniprot.py index 829c8371..590108b9 100644 --- a/pyenzyme/fetcher/uniprot.py +++ b/pyenzyme/fetcher/uniprot.py @@ -8,6 +8,7 @@ import requests from typing import List, Optional, Union from pydantic import BaseModel, Field +from pyenzyme.fetcher.chebi import process_id from pyenzyme.versions import v2 @@ -111,6 +112,7 @@ def get_entry_by_id(self, uniprot_id: str) -> Union[UniProtEntry, None]: def fetch_uniprot( uniprot_id: str, + protein_id: Optional[str] = None, vessel_id: Optional[str] = None, ) -> v2.Protein: """ @@ -167,8 +169,20 @@ def fetch_uniprot( ].value # Create a Protein instance + if protein_id is None: + if ( + uniprot_entry.protein_description + and uniprot_entry.protein_description.recommended_name + and uniprot_entry.protein_description.recommended_name.full_name + ): + protein_id = process_id( + uniprot_entry.protein_description.recommended_name.full_name.value + ) + else: + protein_id = uniprot_entry.accession + protein = v2.Protein( - id=uniprot_entry.accession, + id=protein_id, name=name, sequence=sequence, organism=organism, diff --git a/tests/integration/test_fetcher.py b/tests/integration/test_fetcher.py index d03e3f2e..aa4ea156 100644 --- a/tests/integration/test_fetcher.py +++ b/tests/integration/test_fetcher.py @@ -8,7 +8,22 @@ class TestFetcher: def test_fetch_chebi_to_small_molecule(self): small_molecule = fetch_chebi("CHEBI:15377") assert small_molecule is not None - assert small_molecule.id == "CHEBI_15377" + assert small_molecule.id == "water" + assert small_molecule.name == "water" + assert small_molecule.canonical_smiles == "[H]O[H]" + assert small_molecule.inchi == "InChI=1S/H2O/h1H2" + assert small_molecule.inchikey == "XLYOFNOQVPJJNP-UHFFFAOYSA-N" + assert small_molecule.ld_id == "OBO:CHEBI_15377" + assert len(small_molecule.references) == 1 + assert ( + small_molecule.references[0] + == "https://www.ebi.ac.uk/chebi/searchId.do?chebiId=CHEBI:15377" + ) + + def test_fetch_chebi_to_small_molecule_with_id(self): + small_molecule = fetch_chebi("CHEBI:15377", smallmol_id="s1") + assert small_molecule is not None + assert small_molecule.id == "s1" assert small_molecule.name == "water" assert small_molecule.canonical_smiles == "[H]O[H]" assert small_molecule.inchi == "InChI=1S/H2O/h1H2" @@ -28,7 +43,23 @@ def test_fetch_uniprot_to_protein(self): protein = fetch_uniprot("P07327") assert protein is not None - assert protein.id == "P07327" + assert protein.id == "alcohol_dehydrogenase_1a" + assert protein.name == "Alcohol dehydrogenase 1A" + assert protein.constant is True + assert protein.ecnumber == "1.1.1.1" + assert protein.organism == "Homo sapiens" + assert protein.organism_tax_id == "9606" + + assert protein.ld_id == "uniprot:P07327" + assert "uniprot:P07327" in protein.ld_type + assert len(protein.references) == 1 + assert protein.references[0] == "https://www.uniprot.org/uniprotkb/P07327" + + def test_fetch_uniprot_to_protein_with_id(self): + protein = fetch_uniprot("P07327", protein_id="p1") + assert protein is not None + + assert protein.id == "p1" assert protein.name == "Alcohol dehydrogenase 1A" assert protein.constant is True assert protein.ecnumber == "1.1.1.1" @@ -49,17 +80,17 @@ def test_fetch_rhea_to_reaction(self): assert reaction is not None assert len(small_molecules) == 2 - assert small_molecules[0].id == "CHEBI_32551" - assert small_molecules[1].id == "CHEBI_32557" + assert small_molecules[0].id == "d_lysinium_1" + assert small_molecules[1].id == "l_lysinium_1" assert reaction.id == "RHEA:22864" assert reaction.name == "RHEA:22864" assert reaction.reversible is True assert len(reaction.species) == 2 - assert reaction.species[0].stoichiometry == 1 + assert reaction.species[0].stoichiometry == -1 assert reaction.species[0].species_id == small_molecules[0].id - assert reaction.species[1].stoichiometry == -1 + assert reaction.species[1].stoichiometry == 1 assert reaction.species[1].species_id == small_molecules[1].id def test_fetch_rhea_to_reaction_invalid_id(self): From a64024f32c53494d42a1b8c2e440e5a2b5fbcbb2 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 12:25:50 +0200 Subject: [PATCH 101/172] adapt to changed module names --- tests/unit/test_equations.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/unit/test_equations.py b/tests/unit/test_equations.py index 08105f53..4f27229f 100644 --- a/tests/unit/test_equations.py +++ b/tests/unit/test_equations.py @@ -1,7 +1,7 @@ import pytest -from pyenzyme.equations._chem import build_reaction, build_reactions -from pyenzyme.equations._math import build_equation, build_equations +from pyenzyme.equations.chem import build_reaction, build_reactions +from pyenzyme.equations.math import build_equation, build_equations from pyenzyme import EquationType, EnzymeMLDocument From 999ee2cb26d1cdc73415bb10aa5f93da2a091fea Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 16:29:23 +0200 Subject: [PATCH 102/172] remove unsued --- pyenzyme/sbml/parser.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pyenzyme/sbml/parser.py b/pyenzyme/sbml/parser.py index afe85085..207e272f 100644 --- a/pyenzyme/sbml/parser.py +++ b/pyenzyme/sbml/parser.py @@ -8,6 +8,7 @@ import libsbml as sbml # type: ignore import pandas as pd from loguru import logger +import rich import pyenzyme as pe @@ -301,6 +302,7 @@ def _parse_vessel(compartment: sbml.Compartment): Note: The function prints the unit of the compartment for debugging purposes. """ + vessel = pe.Vessel( id=compartment.getId(), name=compartment.getName(), @@ -330,7 +332,6 @@ def _parse_parameter(parameter: sbml.Parameter): Note: The function prints the parameter annotation string for debugging purposes. """ - print("PARAMETER", parameter.getAnnotationString()) parsed = version.parse_annotation(annotation=parameter.getAnnotationString()) annots = version.extract(parsed, "parameter") From 5f5104e074bd89456b67c4ab54c28eb158bae726 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 16:29:42 +0200 Subject: [PATCH 103/172] fix sbml tests --- tests/fixtures/sbml/ode_example_enzml.json | 492 +++++---------------- tests/fixtures/sbml/v1_example_enzml.json | 174 ++++---- tests/integration/test_sbml.py | 23 +- 3 files changed, 217 insertions(+), 472 deletions(-) diff --git a/tests/fixtures/sbml/ode_example_enzml.json b/tests/fixtures/sbml/ode_example_enzml.json index 5c242e1c..a4cbfe97 100644 --- a/tests/fixtures/sbml/ode_example_enzml.json +++ b/tests/fixtures/sbml/ode_example_enzml.json @@ -1,41 +1,10 @@ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "name": "schema:title", - "created": "schema:dateCreated", - "modified": "schema:dateModified", - "creators": "schema:creator", - "references": { - "@id": "schema:citation", - "@type": "@id" - } - }, - "@id": "enzml:EnzymeMLDocument/1a704a60-950e-4fd8-9f5a-ef0a9d8c28b6", - "@type": [ - "enzml:EnzymeMLDocument" - ], "name": "Test", + "created": null, + "modified": null, "creators": [], "vessels": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - }, - "name": "schema:name", - "volume": "OBO:OBI_0002139" - }, - "@id": "enzml:Vessel/03ec3ab7-6220-4bfb-924f-05e4a4eae821", - "@type": [ - "enzml:Vessel", - "OBO:OBI_0400081" - ], "id": "v0", "name": "Vessel 1", "volume": 10.0, @@ -56,34 +25,6 @@ ], "proteins": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - }, - "name": "schema:name", - "sequence": "OBO:GSSO_007262", - "vessel_id": { - "@id": "schema:identifier", - "@type": "@id" - }, - "organism": "OBO:OBI_0100026", - "organism_tax_id": { - "@type": "@id" - }, - "references": { - "@id": "schema:citation", - "@type": "@id" - } - }, - "@id": "enzml:Protein/f753a055-ecc5-4de8-bf37-2950f8c8c777", - "@type": [ - "enzml:Protein", - "schema:Protein" - ], "id": "p0", "name": "Enzyme", "constant": true, @@ -97,27 +38,6 @@ ], "complexes": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - }, - "name": "schema:name", - "vessel_id": { - "@id": "schema:identifier", - "@type": "@id" - }, - "participants": { - "@type": "@id" - } - }, - "@id": "enzml:Complex/03d6a454-f53e-4c0b-9b3a-37e72a2c28a4", - "@type": [ - "enzml:Complex" - ], "id": "c0", "name": "Enzyme-Substrate Complex", "constant": false, @@ -130,64 +50,22 @@ ], "small_molecules": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - }, - "name": "schema:name", - "vessel_id": { - "@id": "schema:identifier", - "@type": "@id" - }, - "references": { - "@id": "schema:citation", - "@type": "@id" - } - }, - "@id": "enzml:SmallMolecule/65b0cb5d-795b-4f59-98dc-cbd9c079af58", - "@type": [ - "enzml:SmallMolecule" - ], "id": "s0", "name": "Substrate", "constant": false, "vessel_id": "v0", "canonical_smiles": "CC(=O)O", + "inchi": null, "inchikey": "QTBSBXVTEAMEQO-UHFFFAOYSA-N", "references": [] }, { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - }, - "name": "schema:name", - "vessel_id": { - "@id": "schema:identifier", - "@type": "@id" - }, - "references": { - "@id": "schema:citation", - "@type": "@id" - } - }, - "@id": "enzml:SmallMolecule/e4983101-4406-4fd3-bad7-c6b38c4c4ee4", - "@type": [ - "enzml:SmallMolecule" - ], "id": "s1", "name": "Product", "constant": false, "vessel_id": "v0", "canonical_smiles": "CC(=O)O", + "inchi": null, "inchikey": "QTBSBXVTEAMEQO-UHFFFAOYSA-N", "references": [] } @@ -195,62 +73,36 @@ "reactions": [], "measurements": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - }, - "group_id": { - "@type": "@id" - } - }, - "@id": "enzml:Measurement/1fc5042e-31a3-41a7-b1c4-b97749385d44", - "@type": [ - "enzml:Measurement" - ], "id": "m0", "name": "m0", "species_data": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "species_id": { - "@type": "@id" - } - }, - "@id": "enzml:MeasurementData/586efe41-251a-4ee8-9d2d-c1700882bf76", - "@type": [ - "enzml:MeasurementData" - ], "species_id": "s0", "initial": 0.0, "data_unit": { "id": "u6", "name": "mmol / l", "base_units": [ - { - "kind": "mole", - "exponent": 1, - "multiplier": 1.0, - "scale": -3.0 - }, { "kind": "litre", "exponent": -1, "multiplier": 1.0, "scale": 0.0 + }, + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 } ] }, "data_type": "concentration", + "prepared": null, "data": [ 0.0, 1.0, + 10.0, 2.0, 3.0, 4.0, @@ -258,12 +110,12 @@ 6.0, 7.0, 8.0, - 9.0, - 10.0 + 9.0 ], "time": [ 0.0, 1.0, + 10.0, 2.0, 3.0, 4.0, @@ -271,8 +123,7 @@ 6.0, 7.0, 8.0, - 9.0, - 10.0 + 9.0 ], "time_unit": { "id": "u7", @@ -289,55 +140,45 @@ "is_simulated": false }, { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "species_id": { - "@type": "@id" - } - }, - "@id": "enzml:MeasurementData/b9313730-e1a5-42b3-b7d3-f2b8fb3cfe15", - "@type": [ - "enzml:MeasurementData" - ], "species_id": "s1", "initial": 10.0, "data_unit": { - "id": "mmol / l", + "id": "u6", "name": "mmol / l", "base_units": [ - { - "kind": "mole", - "exponent": 1, - "multiplier": 1.0, - "scale": -3.0 - }, { "kind": "litre", "exponent": -1, "multiplier": 1.0, "scale": 0.0 + }, + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 } ] }, "data_type": "concentration", + "prepared": null, "data": [ + 0.0, + 1.0, 10.0, - 9.0, - 8.0, - 7.0, - 6.0, - 5.0, - 4.0, - 3.0, 2.0, - 1.0, - 0.0 + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0 ], "time": [ 0.0, 1.0, + 10.0, 2.0, 3.0, 4.0, @@ -345,11 +186,10 @@ 6.0, 7.0, 8.0, - 9.0, - 10.0 + 9.0 ], "time_unit": { - "id": "s", + "id": "u7", "name": "s", "base_units": [ { @@ -363,6 +203,7 @@ "is_simulated": false } ], + "group_id": null, "ph": 7.0, "temperature": 298.15, "temperature_unit": { @@ -379,62 +220,36 @@ } }, { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - }, - "group_id": { - "@type": "@id" - } - }, - "@id": "enzml:Measurement/b2e83434-8f96-4d83-b7b0-9024b20b6680", - "@type": [ - "enzml:Measurement" - ], "id": "m1", "name": "m1", "species_data": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "species_id": { - "@type": "@id" - } - }, - "@id": "enzml:MeasurementData/2a05f1b5-9848-4aaf-a26d-a135b27ff1a5", - "@type": [ - "enzml:MeasurementData" - ], "species_id": "s0", "initial": 0.0, "data_unit": { - "id": "mmol / l", + "id": "u6", "name": "mmol / l", "base_units": [ - { - "kind": "mole", - "exponent": 1, - "multiplier": 1.0, - "scale": -3.0 - }, { "kind": "litre", "exponent": -1, "multiplier": 1.0, "scale": 0.0 + }, + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 } ] }, "data_type": "concentration", + "prepared": null, "data": [ 0.0, 1.0, + 10.0, 2.0, 3.0, 4.0, @@ -442,12 +257,12 @@ 6.0, 7.0, 8.0, - 9.0, - 10.0 + 9.0 ], "time": [ 0.0, 1.0, + 10.0, 2.0, 3.0, 4.0, @@ -455,11 +270,10 @@ 6.0, 7.0, 8.0, - 9.0, - 10.0 + 9.0 ], "time_unit": { - "id": "s", + "id": "u7", "name": "s", "base_units": [ { @@ -473,55 +287,45 @@ "is_simulated": false }, { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "species_id": { - "@type": "@id" - } - }, - "@id": "enzml:MeasurementData/f2a87dc9-b0f9-4f22-a397-e794907c9111", - "@type": [ - "enzml:MeasurementData" - ], "species_id": "s1", "initial": 10.0, "data_unit": { - "id": "mmol / l", + "id": "u6", "name": "mmol / l", "base_units": [ - { - "kind": "mole", - "exponent": 1, - "multiplier": 1.0, - "scale": -3.0 - }, { "kind": "litre", "exponent": -1, "multiplier": 1.0, "scale": 0.0 + }, + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 } ] }, "data_type": "concentration", + "prepared": null, "data": [ + 0.0, + 1.0, 10.0, - 9.0, - 8.0, - 7.0, - 6.0, - 5.0, - 4.0, - 3.0, 2.0, - 1.0, - 0.0 + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0 ], "time": [ 0.0, 1.0, + 10.0, 2.0, 3.0, 4.0, @@ -529,11 +333,10 @@ 6.0, 7.0, 8.0, - 9.0, - 10.0 + 9.0 ], "time_unit": { - "id": "s", + "id": "u7", "name": "s", "base_units": [ { @@ -547,10 +350,11 @@ "is_simulated": false } ], + "group_id": null, "ph": 7.0, "temperature": 298.15, "temperature_unit": { - "id": "K", + "id": "u8", "name": "K", "base_units": [ { @@ -565,173 +369,101 @@ ], "equations": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "species_id": { - "@id": "schema:identifier", - "@type": "@id" - } - }, - "@id": "enzml:Equation/de44fa4e-50a9-4aaf-949a-fb15d19c9e2d", - "@type": [ - "enzml:Equation" - ], + "species_id": "E_tot", + "equation": "100", + "equation_type": "initialAssignment", + "variables": [] + }, + { "species_id": "s1", - "equation": "E_tot*kcat*s0/(K_m + s0)", + "equation": "E_tot * kcat * s0 / (K_m + s0)", "equation_type": "ode", "variables": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - } - }, - "@id": "enzml:Variable/4a0e8a1e-2ae5-4ee8-a27c-dccd11c24bcb", - "@type": [ - "enzml:Variable" - ], "id": "s0", "name": "s0", "symbol": "s0" } ] - }, - { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "species_id": { - "@id": "schema:identifier", - "@type": "@id" - } - }, - "@id": "enzml:Equation/bce4cafa-852c-4676-b1c3-e8656308ed64", - "@type": [ - "enzml:Equation" - ], - "species_id": "E_tot", - "equation": "100", - "equation_type": "initialAssignment", - "variables": [] } ], "parameters": [ { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - } - }, - "@id": "enzml:Parameter/d97938ad-293f-49b9-b663-491f9766b54a", - "@type": [ - "enzml:Parameter" - ], - "id": "K_m", - "name": "K_m", - "symbol": "K_m", + "id": "E_tot", + "name": "E_tot", + "symbol": "E_tot", + "value": null, "unit": { - "id": "mmol / l", + "id": "u6", "name": "mmol / l", "base_units": [ - { - "kind": "mole", - "exponent": 1, - "multiplier": 1.0, - "scale": -3.0 - }, { "kind": "litre", "exponent": -1, "multiplier": 1.0, "scale": 0.0 + }, + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 } ] }, + "initial_value": null, "upper_bound": 100.0, "lower_bound": 0.0, "stderr": 0.1, "constant": true }, { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - } - }, - "@id": "enzml:Parameter/cc63207e-37d7-49d8-a2f9-c1e91106ce61", - "@type": [ - "enzml:Parameter" - ], - "id": "kcat", - "name": "kcat", - "symbol": "kcat", + "id": "K_m", + "name": "K_m", + "symbol": "K_m", + "value": null, "unit": { - "id": "u9", - "name": "1 / s", + "id": "u6", + "name": "mmol / l", "base_units": [ { - "kind": "second", + "kind": "litre", "exponent": -1, "multiplier": 1.0, "scale": 0.0 + }, + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 } ] }, + "initial_value": null, "upper_bound": 100.0, "lower_bound": 0.0, "stderr": 0.1, "constant": true }, { - "@context": { - "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", - "schema": "https://schema.org/", - "id": { - "@id": "schema:identifier", - "@type": "@id" - } - }, - "@id": "enzml:Parameter/01ffd21c-0efd-489a-9a4f-ff205c10cf20", - "@type": [ - "enzml:Parameter" - ], - "id": "E_tot", - "name": "E_tot", - "symbol": "E_tot", + "id": "kcat", + "name": "kcat", + "symbol": "kcat", + "value": null, "unit": { - "id": "mmol / l", - "name": "mmol / l", + "id": "u9", + "name": "1 / s", "base_units": [ { - "kind": "mole", - "exponent": 1, - "multiplier": 1.0, - "scale": -3.0 - }, - { - "kind": "litre", + "kind": "second", "exponent": -1, "multiplier": 1.0, "scale": 0.0 } ] }, + "initial_value": null, "upper_bound": 100.0, "lower_bound": 0.0, "stderr": 0.1, diff --git a/tests/fixtures/sbml/v1_example_enzml.json b/tests/fixtures/sbml/v1_example_enzml.json index 3481087b..769ade69 100644 --- a/tests/fixtures/sbml/v1_example_enzml.json +++ b/tests/fixtures/sbml/v1_example_enzml.json @@ -15,7 +15,7 @@ { "kind": "litre", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -2230,13 +2230,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -2281,13 +2281,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -2354,13 +2354,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -2427,13 +2427,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -2500,13 +2500,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -2599,13 +2599,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -2650,13 +2650,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -2723,13 +2723,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -2796,13 +2796,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -2869,13 +2869,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -2968,13 +2968,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3019,13 +3019,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3092,13 +3092,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3165,13 +3165,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3238,13 +3238,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3337,13 +3337,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3388,13 +3388,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3461,13 +3461,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3534,13 +3534,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3607,13 +3607,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3706,13 +3706,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3757,13 +3757,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3830,13 +3830,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3903,13 +3903,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -3976,13 +3976,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -4075,13 +4075,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -4126,13 +4126,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -4199,13 +4199,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -4272,13 +4272,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -4345,13 +4345,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -4444,13 +4444,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -4495,13 +4495,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -4568,13 +4568,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -4641,13 +4641,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -4714,13 +4714,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -4813,13 +4813,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -4864,13 +4864,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -4937,13 +4937,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -5010,13 +5010,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -5083,13 +5083,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -5183,13 +5183,13 @@ { "kind": "litre", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 }, { @@ -5231,13 +5231,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] @@ -5273,13 +5273,13 @@ { "kind": "litre", "exponent": -1, - "multiplier": null, + "multiplier": 1.0, "scale": 1.0 }, { "kind": "mole", "exponent": 1, - "multiplier": null, + "multiplier": 1.0, "scale": -3.0 } ] diff --git a/tests/integration/test_sbml.py b/tests/integration/test_sbml.py index cd79aaf3..27d20b8f 100644 --- a/tests/integration/test_sbml.py +++ b/tests/integration/test_sbml.py @@ -1,6 +1,10 @@ +import json import tempfile from pathlib import Path +from pydantic import BaseModel +import rich + import pyenzyme as pe import pyenzyme.equations as peq from pyenzyme.tools import to_dict_wo_json_ld, get_all_parameters @@ -20,11 +24,6 @@ def test_parse_sbml_odes(self): pe.read_enzymeml("tests/fixtures/sbml/ode_example_enzml.json") ) - # Remove spaces of equation - for eq in parsed_doc["equations"]: - eq["equation"] = eq["equation"].replace(" * ", "*") - eq["equation"] = eq["equation"].replace(" / ", "/") - assert parsed_doc == expected_doc, ( "Parsed document does not match expected document" ) @@ -129,6 +128,8 @@ def test_end_to_end(self): enzmldoc = pe.from_sbml(path) # Assert + self.set_unit_name_as_id(enzmldoc) + parsed_doc = to_dict_wo_json_ld(enzmldoc) expected_doc = to_dict_wo_json_ld(doc) @@ -140,3 +141,15 @@ def test_end_to_end(self): assert parsed_doc == expected_doc, ( "Parsed document does not match expected document" ) + + def set_unit_name_as_id(self, obj): + for key, value in obj: + print(key, value) + if isinstance(value, pe.UnitDefinition): + value.id = value.name + elif isinstance(value, BaseModel): + self.set_unit_name_as_id(value) + elif isinstance(value, list): + for item in value: + if isinstance(item, BaseModel): + self.set_unit_name_as_id(item) From ecd419faea8431c64720fe40a4b5bacc1be5d3db Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Wed, 7 May 2025 16:42:29 +0200 Subject: [PATCH 104/172] fix ruff issues --- pyenzyme/sbml/parser.py | 1 - tests/integration/test_sbml.py | 2 -- 2 files changed, 3 deletions(-) diff --git a/pyenzyme/sbml/parser.py b/pyenzyme/sbml/parser.py index 207e272f..80c22449 100644 --- a/pyenzyme/sbml/parser.py +++ b/pyenzyme/sbml/parser.py @@ -8,7 +8,6 @@ import libsbml as sbml # type: ignore import pandas as pd from loguru import logger -import rich import pyenzyme as pe diff --git a/tests/integration/test_sbml.py b/tests/integration/test_sbml.py index 27d20b8f..b6eff1ac 100644 --- a/tests/integration/test_sbml.py +++ b/tests/integration/test_sbml.py @@ -1,9 +1,7 @@ -import json import tempfile from pathlib import Path from pydantic import BaseModel -import rich import pyenzyme as pe import pyenzyme.equations as peq From fc75d20673a15027667638b869f84a293afef3ee Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 01:56:44 +0200 Subject: [PATCH 105/172] add sepc submod --- specs | 1 + 1 file changed, 1 insertion(+) create mode 160000 specs diff --git a/specs b/specs new file mode 160000 index 00000000..95b520a9 --- /dev/null +++ b/specs @@ -0,0 +1 @@ +Subproject commit 95b520a9d7144f23584e4f84dfd25ae94167efb2 From e6f5d3db0c6f415dea750def25041c1cb386e038 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 01:57:05 +0200 Subject: [PATCH 106/172] add pubchem fetcher --- pyenzyme/fetcher/pubchem.py | 271 ++++++++++++++++++++++++++++++++++++ 1 file changed, 271 insertions(+) create mode 100644 pyenzyme/fetcher/pubchem.py diff --git a/pyenzyme/fetcher/pubchem.py b/pyenzyme/fetcher/pubchem.py new file mode 100644 index 00000000..80de8d2a --- /dev/null +++ b/pyenzyme/fetcher/pubchem.py @@ -0,0 +1,271 @@ +from typing import ClassVar, Optional +from pydantic import BaseModel, Field, field_validator +import requests + +from pyenzyme.fetcher.chebi import process_id +from pyenzyme.versions import v2 + + +class PCUrn(BaseModel): + """ + Represents a PubChem URN (Uniform Resource Name) with a label and optional name. + """ + + label: str + name: Optional[str] = Field(default=None) + + +class PCProp(BaseModel): + """ + Represents a PubChem property with a value and URN. + + The value can be of different types (float, int, str, or None) and is extracted + from one of the available fields in the PubChem JSON response. + """ + + value: float | int | str | None = Field(default=None) + urn: PCUrn + + AVAILABLE_FIELDS: ClassVar[list[str]] = ["ival", "sval", "fval", "bval"] + + @field_validator("value", mode="before") + def validate_value(cls, v): + """ + Extracts the actual value from the PubChem property structure. + + PubChem properties can have different value types (ival, sval, fval, bval), + and this validator extracts the appropriate value. + + Args: + v: The raw value dictionary from PubChem + + Returns: + The extracted value or None if no valid field is found + """ + for field in cls.AVAILABLE_FIELDS: + if field in v: + return v[field] + return None + + +class PCCompound(BaseModel): + """ + Represents a PubChem compound with a list of properties. + """ + + props: list[PCProp] + + +class PubChemQuery(BaseModel): + """ + Represents a PubChem query response containing a list of compounds. + """ + + pc_compounds: list[PCCompound] = Field(alias="PC_Compounds", default_factory=list) + + +class PubChemClient(BaseModel): + """ + Client for interacting with the PubChem REST API. + + Provides methods to fetch compound data by CID and extract specific properties. + """ + + BASE_CID_URL: ClassVar[str] = ( + "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/cid/{0}/record/JSON" + ) + + @staticmethod + def from_cid(cid: int) -> PubChemQuery: + """ + Fetches compound data from PubChem by CID. + + Args: + cid: The PubChem Compound ID + + Returns: + A PubChemQuery object containing the compound data + + Raises: + ValueError: If the PubChem API request fails + """ + url = PubChemClient.BASE_CID_URL.format(cid) + response = requests.get(url) + + if response.status_code != 200: + raise ValueError(f"Failed to fetch PubChem data for CID {cid}") + + return PubChemQuery(**response.json()) + + @staticmethod + def extract_value( + query: PCCompound, + label: str, + name: Optional[str] = None, + ) -> float | int | str | None: + """ + Extracts a specific property value from a PubChem compound. + + Args: + query: The PubChem compound + label: The property label to search for + name: Optional property name to further filter the search + + Returns: + The property value if found, or None otherwise + """ + for prop in query.props: + if name: + if prop.urn.name == name and prop.urn.label == label: + return prop.value + elif prop.urn.label == label: + return prop.value + return None + + @staticmethod + def extract_by_preference( + query: PCCompound, label: str, names: list[str] + ) -> float | int | str | None: + """ + Extracts a property value by trying a list of names in order of preference. + + Args: + query: The PubChem compound + label: The property label to search for + names: A list of property names to try in order of preference + + Returns: + The first non-None property value found, or None if none are found + """ + for name in names: + value = PubChemClient.extract_value(query, label, name) + if value: + return value + return None + + +def fetch_pubchem( + cid: int, + smallmol_id: Optional[str] = None, + vessel_id: Optional[str] = None, +) -> v2.SmallMolecule: + """ + Fetches a compound from PubChem by CID and converts it to a SmallMolecule object. + + Args: + cid: The PubChem Compound ID + smallmol_id: Optional custom ID for the small molecule + vessel_id: Optional vessel ID for the small molecule + + Returns: + A SmallMolecule object with data from PubChem + + Raises: + ValueError: If the PubChem API request fails or required data is missing + """ + query = PubChemClient.from_cid(cid) + pc_compound = query.pc_compounds[0] + name = _extract_name(pc_compound, cid) + + if not smallmol_id: + smallmol_id = process_id(name) + + smallmol = v2.SmallMolecule( + id=smallmol_id, + name=name, + inchi=_extract_inchi(pc_compound), + inchikey=_extract_inchikey(pc_compound), + canonical_smiles=_extract_canonical_smiles(pc_compound), + constant=False, + vessel_id=vessel_id, + ) + + smallmol.add_type_term( + term=f"pubchem:CID{cid}", + prefix="pubchem", + iri="http://rdf.ncbi.nlm.nih.gov/pubchem/compound/", + ) + + smallmol.ld_id = f"pubchem:CID{cid}" + + return smallmol + + +def _extract_name(query: PCCompound, cid: int) -> str: + """ + Extracts the name of a compound from PubChem data. + + Tries different IUPAC name types in order of preference. + + Args: + query: The PubChem compound + cid: The PubChem Compound ID (used for error reporting) + + Returns: + The compound name as a string + + Raises: + ValueError: If no name is found + """ + names = ["Preferred", "Systematic", "Allowed", "CAS-like Style", "Markup"] + name = PubChemClient.extract_by_preference( + query=query, + label="IUPAC Name", + names=names, + ) + + if not name: + raise ValueError(f"No name found for CID {cid}") + else: + return str(name) + + +def _extract_inchi(query: PCCompound) -> str | None: + """ + Extracts the InChI string from PubChem data. + + Args: + query: The PubChem compound + + Returns: + The InChI string or None if not found + """ + inchi = PubChemClient.extract_value(query, "InChI") + if not inchi: + return None + else: + return str(inchi) + + +def _extract_inchikey(query: PCCompound) -> str | None: + """ + Extracts the InChIKey from PubChem data. + + Args: + query: The PubChem compound + + Returns: + The InChIKey string or None if not found + """ + inchikey = PubChemClient.extract_value(query, "InChIKey") + if not inchikey: + return None + else: + return str(inchikey) + + +def _extract_canonical_smiles(query: PCCompound) -> str | None: + """ + Extracts the canonical SMILES string from PubChem data. + + Args: + query: The PubChem compound + + Returns: + The canonical SMILES string or None if not found + """ + smiles = PubChemClient.extract_value(query, "SMILES") + if not smiles: + return None + else: + return str(smiles) From eb9fc1202915e4c109b7ac5591234409cffd483d Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 01:57:58 +0200 Subject: [PATCH 107/172] adapt to new version --- pyenzyme/equations/chem.py | 51 +- pyenzyme/fetcher/rhea.py | 12 +- pyenzyme/sbml/parser.py | 42 +- pyenzyme/sbml/serializer.py | 81 +- pyenzyme/sbml/versions/handler.py | 4 +- pyenzyme/sbml/versions/v2.py | 18 +- pyenzyme/tools.py | 3 +- pyenzyme/versions/io.py | 43 +- tests/fixtures/modeling/enzmldoc.json | 5395 ++++++++ tests/fixtures/sbml/ode_example_enzml.json | 920 +- .../fixtures/sbml/reaction_example_enzml.json | 1800 +-- tests/fixtures/sbml/v1_example_enzml.json | 10394 ++++++++-------- tests/integration/test_enzymeml.py | 92 + tests/integration/test_fetcher.py | 32 +- tests/unit/test_equations.py | 25 +- 15 files changed, 12289 insertions(+), 6623 deletions(-) create mode 100644 tests/fixtures/modeling/enzmldoc.json create mode 100644 tests/integration/test_enzymeml.py diff --git a/pyenzyme/equations/chem.py b/pyenzyme/equations/chem.py index f94e5e07..6d20c5a1 100644 --- a/pyenzyme/equations/chem.py +++ b/pyenzyme/equations/chem.py @@ -2,22 +2,11 @@ from enum import Enum from pyenzyme import Equation, ReactionElement, Reaction +from pyenzyme.versions.v2 import ModifierElement, ModifierRole ELEMENT_PATTERN = r"(\d*)\s?([A-Za-z\d]+)" -class EquationSide(Enum): - """Enum representing the side of a chemical equation. - - Attributes: - LEFT: Represents the left side of the equation (reactants) with value -1. - RIGHT: Represents the right side of the equation (products) with value 1. - """ - - LEFT = -1 - RIGHT = 1 - - class EqDirection(Enum): """Enum for the type of reaction. @@ -70,7 +59,21 @@ def build_reactions( except StopIteration: raise ValueError(f"Reaction with id {id} not found in list of reactions") - reaction.modifiers = modifier + if isinstance(modifier, list): + reaction.modifiers = [ + ModifierElement( + species_id=m, + role=ModifierRole.CATALYST, + ) + for m in modifier + ] + else: + reaction.modifiers = [ + ModifierElement( + species_id=modifier, + role=ModifierRole.CATALYST, + ) + ] return reactions @@ -110,14 +113,21 @@ def build_reaction( left, right, reversible = _extract_left_right(scheme) # Initialize and build the reaction object + mod_objs = [ + ModifierElement( + species_id=m, + role=ModifierRole.CATALYST, + ) + for m in modifiers + ] reaction = Reaction( name=name, id=id, reversible=reversible, - modifiers=modifiers, + modifiers=mod_objs, ) - reaction.species += _extract_elements(left, EquationSide.LEFT) - reaction.species += _extract_elements(right, EquationSide.RIGHT) + reaction.reactants += _extract_elements(left) + reaction.products += _extract_elements(right) return reaction @@ -151,12 +161,11 @@ def _extract_left_right(reaction: str) -> tuple[str, str, bool]: return left.strip(), right.strip(), direction.value -def _extract_elements(side_string: str, side: EquationSide) -> list[ReactionElement]: +def _extract_elements(side_string: str) -> list[ReactionElement]: """Extracts the elements from a reaction string. Args: side_string (str): The string representing one side of the reaction (e.g., "2A + B") - side (EquationSide): Enum indicating whether this is the left or right side of the equation Returns: list[ReactionElement]: A list of ReactionElement objects representing the species and their stoichiometries @@ -166,7 +175,7 @@ def _extract_elements(side_string: str, side: EquationSide) -> list[ReactionElem element = re.search(ELEMENT_PATTERN, element.strip()) stoich, species = element.groups() # type: ignore - elements.append(_create_reaction_element(stoich, species, side)) + elements.append(_create_reaction_element(stoich, species)) return elements @@ -174,14 +183,12 @@ def _extract_elements(side_string: str, side: EquationSide) -> list[ReactionElem def _create_reaction_element( stoich: str | float, species: str, - side: EquationSide, ) -> ReactionElement: """Creates a ReactionElement object from stoichiometry, species ID, and equation side. Args: stoich (str | float): The stoichiometric coefficient (can be a string or float) species (str): The species ID - side (EquationSide): The side of the equation (LEFT or RIGHT) Returns: ReactionElement: A ReactionElement object with the appropriate stoichiometry and species ID @@ -195,6 +202,6 @@ def _create_reaction_element( stoich = 1.0 return ReactionElement( - stoichiometry=float(stoich) * side.value, + stoichiometry=float(stoich), species_id=species, ) diff --git a/pyenzyme/fetcher/rhea.py b/pyenzyme/fetcher/rhea.py index 011e815d..c6edac1d 100644 --- a/pyenzyme/fetcher/rhea.py +++ b/pyenzyme/fetcher/rhea.py @@ -169,7 +169,8 @@ def fetch_rhea( n_products = len(equation.split("=")[1].split("+")) small_molecules = [] - species = [] + reactants = [] + products = [] # Process each chemical species in the reaction for i in range(n_reactants + n_products): @@ -184,18 +185,19 @@ def fetch_rhea( species_id=small_molecule.id, stoichiometry=1, ) + reactants.append(reaction_element) else: reaction_element = v2.ReactionElement( species_id=small_molecule.id, - stoichiometry=-1, + stoichiometry=1, ) - - species.append(reaction_element) + products.append(reaction_element) reaction = v2.Reaction( id=f"RHEA:{client.json_content.id}", name=f"RHEA:{rhea_id}", - species=species, + reactants=reactants, + products=products, reversible=client.json_content.balanced, ) diff --git a/pyenzyme/sbml/parser.py b/pyenzyme/sbml/parser.py index 80c22449..592c5f23 100644 --- a/pyenzyme/sbml/parser.py +++ b/pyenzyme/sbml/parser.py @@ -436,15 +436,12 @@ def _parse_reaction(reaction: sbml.Reaction): Returns: An EnzymeML reaction with properties extracted from the SBML reaction. """ - # Get the reactants and products - products = [_parse_element(product, 1) for product in reaction.getListOfProducts()] - reactants = [ - _parse_element(reactant, -1) for reactant in reaction.getListOfReactants() + products = [_parse_element(product) for product in reaction.getListOfProducts()] + reactants = [_parse_element(reactant) for reactant in reaction.getListOfReactants()] + modifiers = [ + _parse_modifier(modifier) for modifier in reaction.getListOfModifiers() ] - # Get the modifiers - modifiers = [modifier.getSpecies() for modifier in reaction.getListOfModifiers()] - # Get the kinetic law kinetic_law = _parse_equation(reaction.getKineticLaw(), pe.EquationType.RATE_LAW) @@ -452,7 +449,8 @@ def _parse_reaction(reaction: sbml.Reaction): enzml_reaction = pe.Reaction( id=reaction.getId(), name=reaction.getName(), - species=reactants + products, + reactants=reactants, + products=products, modifiers=modifiers, kinetic_law=kinetic_law, ) @@ -460,7 +458,7 @@ def _parse_reaction(reaction: sbml.Reaction): return enzml_reaction -def _parse_element(species, direction: int): +def _parse_element(species: sbml.SpeciesReference): """ Parse a species element from an SBML model into an EnzymeML reaction element. @@ -469,14 +467,36 @@ def _parse_element(species, direction: int): Args: species: The SBML species element (SpeciesReference). - direction (int): The direction of the reaction (1 for product, -1 for reactant). Returns: An EnzymeML reaction element with the species ID and stoichiometry. """ return pe.ReactionElement( species_id=species.getSpecies(), - stoichiometry=species.getStoichiometry() * direction, + stoichiometry=species.getStoichiometry(), + ) + + +def _parse_modifier(modifier: sbml.SpeciesReference): + """ + Parse a modifier from an SBML model into an EnzymeML modifier. + + This function extracts information from an SBML modifier and creates an equivalent + EnzymeML modifier entity. + + Args: + modifier (sbml.SpeciesReference): The SBML modifier. + + Returns: + An EnzymeML modifier with properties extracted from the SBML modifier. + """ + parsed = version.parse_annotation(annotation=modifier.getAnnotationString()) + annots = version.extract(parsed, "modifier") + + return pe.ModifierElement( + species_id=modifier.getSpecies(), + role=pe.ModifierRole.CATALYST, + **annots, ) diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index 2ce10c28..81780248 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -28,7 +28,7 @@ def to_sbml( enzmldoc: pe.EnzymeMLDocument, out: Path | str | None = None, verbose: bool = False, -) -> tuple[str, pd.DataFrame] | None: +) -> tuple[str, pd.DataFrame | None]: """This function converts an EnzymeML document to an SBML document. The systems biology markup language (SBML) is a machine-readable format for @@ -48,7 +48,7 @@ def to_sbml( verbose (bool, optional): Whether to print warnings during SBML validation. Defaults to False. Returns: - tuple[str, pd.DataFrame] | None: The SBML document as a string and a DataFrame with the RDF triples. + tuple[str, pd.DataFrame]: The SBML document as a string and a DataFrame with the RDF triples. Raises: ValueError: If the EnzymeML document is not valid for SBML export. @@ -92,25 +92,26 @@ def to_sbml( for parameter in enzmldoc.parameters: _add_parameter(parameter) - if out is None: - return libsbml.writeSBMLToString(sbmldoc), to_pandas(doc) # type: ignore - if isinstance(out, str): out = Path(out) - if out.is_dir(): + if out and out.is_dir(): out = out / "enzymeml_doc.omex" - else: + elif out: out = out.with_suffix(".omex") - _validate_sbml(sbmldoc) - create_sbml_omex( - sbml_doc=libsbml.writeSBMLToString(sbmldoc), - data=to_pandas(doc), - out=out, - ) + xml_string = libsbml.writeSBMLToString(sbmldoc) + + if out: + _validate_sbml(sbmldoc) + create_sbml_omex( + sbml_doc=libsbml.writeSBMLToString(sbmldoc), + data=to_pandas(doc), + out=out, + ) + logger.info(f"OMEX archive written to {out}") - logger.info(f"OMEX archive written to {out}") + return xml_string, to_pandas(doc) def convert_unit_classes(doc: pe.EnzymeMLDocument, custom_units: list[UnitDefinition]): @@ -312,28 +313,47 @@ def _add_reaction(reaction: pe.Reaction, index: int): sbml_reaction.setId(reaction.id) sbml_reaction.setReversible(reaction.reversible) - for species in reaction.species: - assert species.stoichiometry, f"Stoichiometry of species {species} is not set" + # Map reactants + for element in reaction.reactants: + _add_reaction_element(element, sbml_reaction.createReactant) - species_ref = _get_create_fun( - species.stoichiometry, - sbml_reaction, - species.species_id, - )() - - species_ref.initDefaults() - species_ref.setConstant(True) - species_ref.setSpecies(species.species_id) - species_ref.setStoichiometry(abs(species.stoichiometry)) + # Map products + for element in reaction.products: + _add_reaction_element(element, sbml_reaction.createProduct) for modifier in reaction.modifiers: modifier_ref = sbml_reaction.createModifier() - modifier_ref.setSpecies(modifier) + modifier_ref.setSpecies(modifier.species_id) + + annot = v2.ModifierAnnot( + modifier_role=modifier.role.name, + ) + + if not annot.is_empty(): + modifier_ref.setAnnotation(annot.to_xml(encoding="unicode")) if reaction.kinetic_law: _add_rate_law(reaction.kinetic_law, sbml_reaction) +def _add_reaction_element( + element: pe.ReactionElement, create_fun: Callable[[], libsbml.SpeciesReference] +): + """ + Add a reaction element to the SBML reaction. + + Args: + element (pe.ReactionElement): The reaction element to add. + create_fun (Callable[[], libsbml.SpeciesReference]): The function to create the species reference. + """ + + species_ref = create_fun() + species_ref.initDefaults() + species_ref.setConstant(True) + species_ref.setSpecies(element.species_id) + species_ref.setStoichiometry(abs(element.stoichiometry)) + + def _add_rate_law(equation: pe.Equation, reac: libsbml.Reaction): """ Add rate laws to the SBML Reaction. @@ -475,10 +495,15 @@ def _add_measurements(measurements: list[pe.Measurement]): ) for species_data in measurement.species_data: + if species_data.data_type is None: + data_type = None + else: + data_type = species_data.data_type.name + species_annot = v2.SpeciesDataAnnot( species_id=species_data.species_id, initial=species_data.initial, - type=species_data.data_type.name, + type=data_type, unit=_get_unit_id(species_data.data_unit), # type: ignore ) diff --git a/pyenzyme/sbml/versions/handler.py b/pyenzyme/sbml/versions/handler.py index e44dfffc..93067447 100644 --- a/pyenzyme/sbml/versions/handler.py +++ b/pyenzyme/sbml/versions/handler.py @@ -7,8 +7,8 @@ class SupportedVersions(Enum): - VERSION1: str = "http://sbml.org/enzymeml/version2" - VERSION2: str = "https://www.enzymeml.org/v2" + VERSION1 = "http://sbml.org/enzymeml/version2" + VERSION2 = "https://www.enzymeml.org/v2" class VersionHandler(BaseModel): diff --git a/pyenzyme/sbml/versions/v2.py b/pyenzyme/sbml/versions/v2.py index 3daba966..f35d6069 100644 --- a/pyenzyme/sbml/versions/v2.py +++ b/pyenzyme/sbml/versions/v2.py @@ -158,6 +158,21 @@ class ComplexAnnot( ) +class ModifierAnnot( + BaseAnnot, + tag="modifier", + nsmap={"": "https://www.enzymeml.org/v2"}, + search_mode="unordered", +): + """ + Represents the annotation for a modifier in the EnzymeML format. + + This class describes the modifier of a reaction, including its ID and name. + """ + + modifier_role: str = attr(name="modifierRole") + + class DataAnnot( BaseAnnot, tag="data", @@ -394,7 +409,7 @@ class SpeciesDataAnnot( """ species_id: str = attr(name="species") - initial: float = attr(name="value", default=0.0) + initial: float | None = attr(name="value", default=None) type: str | None = attr(name="type", default="CONCENTRATION") unit: str = attr(name="unit") @@ -536,6 +551,7 @@ class VariableAnnot( TemperatureAnnot, ParameterAnnot, VariablesAnnot, + ModifierAnnot, VariableAnnot, V2Annotation, ]: diff --git a/pyenzyme/tools.py b/pyenzyme/tools.py index ee644ce1..c7193b51 100644 --- a/pyenzyme/tools.py +++ b/pyenzyme/tools.py @@ -1,6 +1,7 @@ import functools as ft import importlib.resources as pkg_resources from enum import Enum +import json import toml @@ -22,7 +23,7 @@ def to_dict_wo_json_ld(enzmldoc: pe.EnzymeMLDocument): dict: The EnzymeMLDocument with JSON-LD fields removed. """ - doc = enzmldoc.model_dump() + doc = json.loads(enzmldoc.model_dump_json()) _recursive_key_removal(doc, "ld_id") _recursive_key_removal(doc, "ld_type") _recursive_key_removal(doc, "ld_context") diff --git a/pyenzyme/versions/io.py b/pyenzyme/versions/io.py index f9eb11ba..098007e9 100644 --- a/pyenzyme/versions/io.py +++ b/pyenzyme/versions/io.py @@ -106,15 +106,18 @@ def write_enzymeml( def to_sbml( cls, enzmldoc: v2.EnzymeMLDocument, - path: Path | str, - ) -> None: # noqa: F405 + path: Path | str | None = None, + ) -> tuple[str, pd.DataFrame | None]: # noqa: F405 """Convert an EnzymeML document to SBML format and write to a file. Args: enzmldoc: The EnzymeML document to convert path: Path to write the SBML document to + + Returns: + Tuple of the SBML document and the measurement data, or None if path is None """ - to_sbml(enzmldoc, path) + return to_sbml(enzmldoc, path) @classmethod def from_sbml( @@ -135,7 +138,8 @@ def from_sbml( def to_pandas( cls, enzmldoc: v2.EnzymeMLDocument, - ) -> pd.DataFrame | None: # noqa: F405 + per_measurement: bool = False, + ) -> pd.DataFrame | dict[str, pd.DataFrame]: # noqa: F405 """Convert an EnzymeML document to a pandas DataFrame. Args: @@ -144,7 +148,15 @@ def to_pandas( Returns: DataFrame containing the measurement data, or None if no measurements exist """ - return to_pandas(enzmldoc) + df = to_pandas(enzmldoc) + + if per_measurement and df is not None: + return split_by_measurement(df) + + if df is None: + return pd.DataFrame() + + return df @classmethod def from_csv( @@ -235,3 +247,24 @@ def _pattern(s: str): return 2 else: return 3 + + +def split_by_measurement(df: pd.DataFrame) -> dict[str, pd.DataFrame]: + """Split a pandas DataFrame by measurement ID. + + Args: + df: DataFrame to split + + Returns: + Dictionary of DataFrames, keyed by measurement ID + """ + measurement_dfs = {} + for measurement_id in df["id"].unique(): + measurement = df[df["id"] == measurement_id].reset_index(drop=True) + + # Remove ID column + measurement = measurement.drop(columns=["id"]) + + measurement_dfs[measurement_id] = measurement + + return measurement_dfs diff --git a/tests/fixtures/modeling/enzmldoc.json b/tests/fixtures/modeling/enzmldoc.json new file mode 100644 index 00000000..83f51fc5 --- /dev/null +++ b/tests/fixtures/modeling/enzmldoc.json @@ -0,0 +1,5395 @@ +{ + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", + "name": "schema:title", + "created": "schema:dateCreated", + "modified": "schema:dateModified", + "creators": "schema:creator", + "references": { + "@id": "schema:citation", + "@type": "@id" + } + }, + "@id": "enzml:EnzymeMLDocument/06f53b15-4c29-4239-b3e3-c2ccc90e5450", + "@type": [ + "enzml:EnzymeMLDocument" + ], + "name": "ABTS measurement", + "creators": [], + "vessels": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "name": "schema:name", + "volume": "OBO:OBI_0002139" + }, + "@id": 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name="Vessel 1", + volume=10.0, + unit="ml", # type: ignore + id="v0", + ) + + # Add Species + substrate = doc.add_to_small_molecules( + id="s0", + name="Substrate", + vessel_id=vessel.id, + canonical_smiles="CC(=O)O", + inchikey="QTBSBXVTEAMEQO-UHFFFAOYSA-N", + ) + + doc.add_to_small_molecules( + id="s1", + name="Product", + vessel_id=vessel.id, + canonical_smiles="CC(=O)O", + inchikey="QTBSBXVTEAMEQO-UHFFFAOYSA-N", + ) + + # Add Enzyme + enzyme = doc.add_to_proteins( + id="p0", + name="Enzyme", + sequence="MTEY", + vessel_id=vessel.id, + ecnumber="1.1.1.1", + organism="E.coli", + organism_tax_id="12345", + ) + + doc.add_to_complexes( + id="c0", + name="Enzyme-Substrate Complex", + participants=[enzyme.id, substrate.id], + vessel_id=vessel.id, + ) + + doc.equations += peq.build_equations( + "s1'(t) = kcat * E_tot * s0(t) / (K_m + s0(t))", + "E_tot = 100", + unit_mapping={ + "kcat": "1 / s", + "K_m": "mmol / l", + "E_tot": "mmol / l", + }, + enzmldoc=doc, + ) + + doc.measurements += pe.from_excel( + "tests/fixtures/tabular/data.xlsx", + data_unit="mmol / l", + time_unit="s", + ) + + for parameter in get_all_parameters(doc): + parameter.lower_bound = 0.0 + parameter.upper_bound = 100.0 + parameter.stderr = 0.1 + + for meas in doc.measurements: + meas.temperature = 298.15 + meas.temperature_unit = "K" # type: ignore + meas.ph = 7.0 + + with tempfile.TemporaryDirectory() as tmpdir: + enzmldoc_path = os.path.join(tmpdir, "enzymeml.omex") + pe.write_enzymeml(doc, enzmldoc_path) + + # Load the saved EnzymeML document + loaded_doc = pe.read_enzymeml(enzmldoc_path) + + # Assert + assert to_dict_wo_json_ld(loaded_doc) == to_dict_wo_json_ld(doc) diff --git a/tests/integration/test_fetcher.py b/tests/integration/test_fetcher.py index aa4ea156..63bdb1fc 100644 --- a/tests/integration/test_fetcher.py +++ b/tests/integration/test_fetcher.py @@ -1,5 +1,6 @@ import pytest from pyenzyme.fetcher.chebi import fetch_chebi +from pyenzyme.fetcher.pubchem import fetch_pubchem from pyenzyme.fetcher.rhea import fetch_rhea from pyenzyme.fetcher.uniprot import fetch_uniprot @@ -74,7 +75,8 @@ def test_fetch_uniprot_to_protein_with_id(self): def test_fetch_rhea_to_reaction(self): reaction, small_molecules = fetch_rhea("RHEA:22864") - reaction.species.sort(key=lambda x: x.species_id) + reaction.reactants.sort(key=lambda x: x.species_id) + reaction.products.sort(key=lambda x: x.species_id) small_molecules.sort(key=lambda x: x.id) assert reaction is not None @@ -87,12 +89,30 @@ def test_fetch_rhea_to_reaction(self): assert reaction.name == "RHEA:22864" assert reaction.reversible is True - assert len(reaction.species) == 2 - assert reaction.species[0].stoichiometry == -1 - assert reaction.species[0].species_id == small_molecules[0].id - assert reaction.species[1].stoichiometry == 1 - assert reaction.species[1].species_id == small_molecules[1].id + assert len(reaction.reactants) == 1 + assert reaction.reactants[0].stoichiometry == 1 + assert reaction.reactants[0].species_id == small_molecules[1].id + + assert len(reaction.products) == 1 + assert reaction.products[0].stoichiometry == 1 + assert reaction.products[0].species_id == small_molecules[0].id def test_fetch_rhea_to_reaction_invalid_id(self): with pytest.raises(ValueError): fetch_rhea("INVALID_ID") + + def test_fetch_pubchem_to_small_molecule(self): + small_molecule = fetch_pubchem(cid=2244) + assert small_molecule is not None + assert small_molecule.id == "2_acetyloxybenzoic_acid" + assert small_molecule.name == "2-acetyloxybenzoic acid" + assert small_molecule.canonical_smiles == "CC(=O)OC1=CC=CC=C1C(=O)O" + assert small_molecule.inchikey == "BSYNRYMUTXBXSQ-UHFFFAOYSA-N" + assert ( + small_molecule.inchi + == "InChI=1S/C9H8O4/c1-6(10)13-8-5-3-2-4-7(8)9(11)12/h2-5H,1H3,(H,11,12)" + ) + + def test_fetch_pubchem_to_small_molecule_invalid_id(self): + with pytest.raises(ValueError): + fetch_pubchem(cid=162176127617627) diff --git a/tests/unit/test_equations.py b/tests/unit/test_equations.py index 4f27229f..b7f52000 100644 --- a/tests/unit/test_equations.py +++ b/tests/unit/test_equations.py @@ -181,9 +181,12 @@ def test_build_irrev_reaction(self): ) # Assert - expected = [ - (-2.0, "s1"), - (-1.0, "s2"), + expected_reactants = [ + (2.0, "s1"), + (1.0, "s2"), + ] + + expected_products = [ (2.0, "s3"), (1.0, "s4"), ] @@ -193,9 +196,9 @@ def test_build_irrev_reaction(self): f"Reaction name is not correct. Got {reac.name}" ) - for stoich, species in expected: + for stoich, species in expected_reactants: element = next( - filter(lambda x: x.species_id == species, reac.species), None + filter(lambda x: x.species_id == species, reac.reactants), None ) if not element: @@ -209,6 +212,18 @@ def test_build_irrev_reaction(self): f"Species ID for {species} is not correct. Got {element.species_id}" ) + for stoich, species in expected_products: + element = next( + filter(lambda x: x.species_id == species, reac.products), None + ) + + if not element: + assert False, f"Species {species} not found in reaction" + + assert element.stoichiometry == stoich, ( + f"Stoichiometry for {species} is not correct. Got {element.stoichiometry}" + ) + def test_build_rev_reaction(self): # Arrange reaction_str = "s1 + s2 <=> s3 + s4" From 73f294808b2429c3c98563b43e3562fc604b4c0b Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 01:58:09 +0200 Subject: [PATCH 108/172] update model --- pyenzyme/versions/v2.py | 845 ++++++++++++++++++++++++++-------------- 1 file changed, 558 insertions(+), 287 deletions(-) diff --git a/pyenzyme/versions/v2.py b/pyenzyme/versions/v2.py index c967531c..fe90cd43 100644 --- a/pyenzyme/versions/v2.py +++ b/pyenzyme/versions/v2.py @@ -34,16 +34,16 @@ from __future__ import annotations from pydantic import BaseModel, Field, ConfigDict -from typing import Optional, Generic, TypeVar +from typing import Optional, Generic, TypeVar, Union from enum import Enum from uuid import uuid4 +from datetime import date, datetime from mdmodels.units.annotation import UnitDefinitionAnnot # Filter Wrapper definition used to filter a list of objects # based on their attributes Cls = TypeVar("Cls") - class FilterWrapper(Generic[Cls]): """Wrapper class to filter a list of objects based on their attributes""" @@ -80,8 +80,7 @@ def add_namespace(obj, prefix: str | None, iri: str | None): elif iri and prefix is None: raise ValueError("If iri is provided, prefix must also be provided") - obj.ld_context[prefix] = iri # type: ignore - + obj.ld_context[prefix] = iri # type: ignore def validate_prefix(term: str | dict, prefix: str): """Validates that a term is prefixed with a given prefix @@ -99,18 +98,19 @@ def validate_prefix(term: str | dict, prefix: str): elif isinstance(term, str) and not term.startswith(prefix + ":"): raise ValueError(f"Term {term} is not prefixed with {prefix}") - # Model Definitions - class EnzymeMLDocument(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore name: str - created: Optional[str] = Field(default=None) - modified: Optional[str] = Field(default=None) + version: str = "2" + description: Optional[Optional[str]] = Field(default=None) + created: Optional[Optional[str]] = Field(default=None) + modified: Optional[Optional[str]] = Field(default=None) creators: list[Creator] = Field(default_factory=list) vessels: list[Vessel] = Field(default_factory=list) proteins: list[Protein] = Field(default_factory=list) @@ -125,20 +125,20 @@ class EnzymeMLDocument(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()), + default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:EnzymeMLDocument", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "name": "schema:title", "created": "schema:dateCreated", "modified": "schema:dateModified", @@ -147,7 +147,7 @@ class EnzymeMLDocument(BaseModel): "@id": "schema:citation", "@type": "@id", }, - }, + } ) def filter_creators(self, **kwargs) -> list[Creator]: @@ -258,12 +258,13 @@ def filter_parameters(self, **kwargs) -> list[Parameter]: return FilterWrapper[Parameter](self.parameters, **kwargs).filter() + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -285,9 +286,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, ( - f"Attribute {attr} not found in {self.__class__.__name__}" - ) + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -296,7 +295,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -323,6 +325,7 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) + def add_to_creators( self, given_name: str, @@ -330,22 +333,29 @@ def add_to_creators( mail: str, **kwargs, ): - params = {"given_name": given_name, "family_name": family_name, "mail": mail} + params = { + "given_name": given_name, + "family_name": family_name, + "mail": mail + } if "id" in kwargs: params["id"] = kwargs["id"] - self.creators.append(Creator(**params)) + self.creators.append( + Creator(**params) + ) return self.creators[-1] + def add_to_vessels( self, id: str, name: str, volume: float, unit: UnitDefinitionAnnot, - constant: bool = True, + constant: bool= True, **kwargs, ): params = { @@ -353,27 +363,30 @@ def add_to_vessels( "name": name, "volume": volume, "unit": unit, - "constant": constant, + "constant": constant } if "id" in kwargs: params["id"] = kwargs["id"] - self.vessels.append(Vessel(**params)) + self.vessels.append( + Vessel(**params) + ) return self.vessels[-1] + def add_to_proteins( self, id: str, name: str, - constant: bool = True, - sequence: Optional[str] = None, - vessel_id: Optional[str] = None, - ecnumber: Optional[str] = None, - organism: Optional[str] = None, - organism_tax_id: Optional[str] = None, - references: list[str] = [], + constant: bool= True, + sequence: Optional[str]= None, + vessel_id: Optional[str]= None, + ecnumber: Optional[str]= None, + organism: Optional[str]= None, + organism_tax_id: Optional[str]= None, + references: list[str]= [], **kwargs, ): params = { @@ -385,23 +398,26 @@ def add_to_proteins( "ecnumber": ecnumber, "organism": organism, "organism_tax_id": organism_tax_id, - "references": references, + "references": references } if "id" in kwargs: params["id"] = kwargs["id"] - self.proteins.append(Protein(**params)) + self.proteins.append( + Protein(**params) + ) return self.proteins[-1] + def add_to_complexes( self, id: str, name: str, - constant: bool = False, - vessel_id: Optional[str] = None, - participants: list[str] = [], + constant: bool= False, + vessel_id: Optional[str]= None, + participants: list[str]= [], **kwargs, ): params = { @@ -409,26 +425,30 @@ def add_to_complexes( "name": name, "constant": constant, "vessel_id": vessel_id, - "participants": participants, + "participants": participants } if "id" in kwargs: params["id"] = kwargs["id"] - self.complexes.append(Complex(**params)) + self.complexes.append( + Complex(**params) + ) return self.complexes[-1] + def add_to_small_molecules( self, id: str, name: str, - constant: bool = False, - vessel_id: Optional[str] = None, - canonical_smiles: Optional[str] = None, - inchi: Optional[str] = None, - inchikey: Optional[str] = None, - references: list[str] = [], + constant: bool= False, + vessel_id: Optional[str]= None, + canonical_smiles: Optional[str]= None, + inchi: Optional[str]= None, + inchikey: Optional[str]= None, + synonymous_names: list[str]= [], + references: list[str]= [], **kwargs, ): params = { @@ -439,24 +459,29 @@ def add_to_small_molecules( "canonical_smiles": canonical_smiles, "inchi": inchi, "inchikey": inchikey, - "references": references, + "synonymous_names": synonymous_names, + "references": references } if "id" in kwargs: params["id"] = kwargs["id"] - self.small_molecules.append(SmallMolecule(**params)) + self.small_molecules.append( + SmallMolecule(**params) + ) return self.small_molecules[-1] + def add_to_reactions( self, id: str, name: str, - reversible: bool = False, - kinetic_law: Optional[Equation] = None, - species: list[ReactionElement] = [], - modifiers: list[str] = [], + reversible: bool= False, + kinetic_law: Optional[Equation]= None, + reactants: list[ReactionElement]= [], + products: list[ReactionElement]= [], + modifiers: list[ModifierElement]= [], **kwargs, ): params = { @@ -464,26 +489,30 @@ def add_to_reactions( "name": name, "reversible": reversible, "kinetic_law": kinetic_law, - "species": species, - "modifiers": modifiers, + "reactants": reactants, + "products": products, + "modifiers": modifiers } if "id" in kwargs: params["id"] = kwargs["id"] - self.reactions.append(Reaction(**params)) + self.reactions.append( + Reaction(**params) + ) return self.reactions[-1] + def add_to_measurements( self, id: str, name: str, - species_data: list[MeasurementData] = [], - group_id: Optional[str] = None, - ph: Optional[float] = None, - temperature: Optional[float] = None, - temperature_unit: Optional[UnitDefinitionAnnot] = None, + species_data: list[MeasurementData]= [], + group_id: Optional[str]= None, + ph: Optional[float]= None, + temperature: Optional[float]= None, + temperature_unit: Optional[UnitDefinitionAnnot]= None, **kwargs, ): params = { @@ -493,50 +522,56 @@ def add_to_measurements( "group_id": group_id, "ph": ph, "temperature": temperature, - "temperature_unit": temperature_unit, + "temperature_unit": temperature_unit } if "id" in kwargs: params["id"] = kwargs["id"] - self.measurements.append(Measurement(**params)) + self.measurements.append( + Measurement(**params) + ) return self.measurements[-1] + def add_to_equations( self, species_id: str, equation: str, equation_type: EquationType, - variables: list[Variable] = [], + variables: list[Variable]= [], **kwargs, ): params = { "species_id": species_id, "equation": equation, "equation_type": equation_type, - "variables": variables, + "variables": variables } if "id" in kwargs: params["id"] = kwargs["id"] - self.equations.append(Equation(**params)) + self.equations.append( + Equation(**params) + ) return self.equations[-1] + def add_to_parameters( self, id: str, name: str, symbol: str, - value: Optional[float] = None, - unit: Optional[UnitDefinitionAnnot] = None, - initial_value: Optional[float] = None, - upper_bound: Optional[float] = None, - lower_bound: Optional[float] = None, - stderr: Optional[float] = None, - constant: Optional[bool] = True, + value: Optional[float]= None, + unit: Optional[UnitDefinitionAnnot]= None, + initial_value: Optional[float]= None, + upper_bound: Optional[float]= None, + lower_bound: Optional[float]= None, + stderr: Optional[float]= None, + constant: Optional[bool]= True, **kwargs, ): params = { @@ -549,21 +584,24 @@ def add_to_parameters( "upper_bound": upper_bound, "lower_bound": lower_bound, "stderr": stderr, - "constant": constant, + "constant": constant } if "id" in kwargs: params["id"] = kwargs["id"] - self.parameters.append(Parameter(**params)) + self.parameters.append( + Parameter(**params) + ) return self.parameters[-1] class Creator(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore given_name: str family_name: str @@ -572,30 +610,33 @@ class Creator(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Creator/" + str(uuid4()), + default_factory=lambda: "enzml:Creator/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["enzml:Creator", "schema:person"], + default_factory = lambda: [ + "enzml:Creator","schema:person" + ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "given_name": "schema:givenName", "family_name": "schema:familyName", "mail": "schema:email", - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -617,9 +658,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, ( - f"Attribute {attr} not found in {self.__class__.__name__}" - ) + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -628,7 +667,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -657,9 +699,10 @@ def add_type_term( class Vessel(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore id: str name: str @@ -670,33 +713,36 @@ class Vessel(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Vessel/" + str(uuid4()), + default_factory=lambda: "enzml:Vessel/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["enzml:Vessel", "OBO:OBI_0400081"], + default_factory = lambda: [ + "enzml:Vessel","OBO:OBI_0400081" + ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", }, "name": "schema:name", "volume": "OBO:OBI_0002139", - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -718,9 +764,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, ( - f"Attribute {attr} not found in {self.__class__.__name__}" - ) + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -729,7 +773,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -758,35 +805,38 @@ def add_type_term( class Protein(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore id: str name: str constant: bool = True - sequence: Optional[str] = Field(default=None) - vessel_id: Optional[str] = Field(default=None) - ecnumber: Optional[str] = Field(default=None) - organism: Optional[str] = Field(default=None) - organism_tax_id: Optional[str] = Field(default=None) + sequence: Optional[Optional[str]] = Field(default=None) + vessel_id: Optional[Optional[str]] = Field(default=None) + ecnumber: Optional[Optional[str]] = Field(default=None) + organism: Optional[Optional[str]] = Field(default=None) + organism_tax_id: Optional[Optional[str]] = Field(default=None) references: list[str] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Protein/" + str(uuid4()), + default_factory=lambda: "enzml:Protein/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: ["enzml:Protein", "OBO:PR_000000001"], + default_factory = lambda: [ + "enzml:Protein","OBO:PR_000000001" + ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -805,15 +855,16 @@ class Protein(BaseModel): "@id": "schema:citation", "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -835,9 +886,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, ( - f"Attribute {attr} not found in {self.__class__.__name__}" - ) + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -846,7 +895,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -875,33 +927,34 @@ def add_type_term( class Complex(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore id: str name: str constant: bool = False - vessel_id: Optional[str] = Field(default=None) + vessel_id: Optional[Optional[str]] = Field(default=None) participants: list[str] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Complex/" + str(uuid4()), + default_factory=lambda: "enzml:Complex/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Complex", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -914,15 +967,16 @@ class Complex(BaseModel): "participants": { "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -944,9 +998,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, ( - f"Attribute {attr} not found in {self.__class__.__name__}" - ) + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -955,7 +1007,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -984,36 +1039,38 @@ def add_type_term( class SmallMolecule(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore id: str name: str constant: bool = False - vessel_id: Optional[str] = Field(default=None) - canonical_smiles: Optional[str] = Field(default=None) - inchi: Optional[str] = Field(default=None) - inchikey: Optional[str] = Field(default=None) + vessel_id: Optional[Optional[str]] = Field(default=None) + canonical_smiles: Optional[Optional[str]] = Field(default=None) + inchi: Optional[Optional[str]] = Field(default=None) + inchikey: Optional[Optional[str]] = Field(default=None) + synonymous_names: list[str] = Field(default_factory=list) references: list[str] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()), + default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:SmallMolecule", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1027,15 +1084,16 @@ class SmallMolecule(BaseModel): "@id": "schema:citation", "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1057,9 +1115,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, ( - f"Attribute {attr} not found in {self.__class__.__name__}" - ) + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1068,7 +1124,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1097,46 +1156,57 @@ def add_type_term( class Reaction(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore id: str name: str reversible: bool = False - kinetic_law: Optional[Equation] = Field(default=None) - species: list[ReactionElement] = Field(default_factory=list) - modifiers: list[str] = Field(default_factory=list) + kinetic_law: Optional[Optional[Equation]] = Field(default=None) + reactants: list[ReactionElement] = Field(default_factory=list) + products: list[ReactionElement] = Field(default_factory=list) + modifiers: list[ModifierElement] = Field(default_factory=list) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Reaction/" + str(uuid4()), + default_factory=lambda: "enzml:Reaction/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Reaction", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", }, - "modifiers": { - "@type": "@id", - }, - }, + } ) - def filter_species(self, **kwargs) -> list[ReactionElement]: - """Filters the species attribute based on the given kwargs + def filter_reactants(self, **kwargs) -> list[ReactionElement]: + """Filters the reactants attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[ReactionElement]: The filtered list of ReactionElement objects + """ + + return FilterWrapper[ReactionElement](self.reactants, **kwargs).filter() + + def filter_products(self, **kwargs) -> list[ReactionElement]: + """Filters the products attribute based on the given kwargs Args: **kwargs: The attributes to filter by. @@ -1145,14 +1215,27 @@ def filter_species(self, **kwargs) -> list[ReactionElement]: list[ReactionElement]: The filtered list of ReactionElement objects """ - return FilterWrapper[ReactionElement](self.species, **kwargs).filter() + return FilterWrapper[ReactionElement](self.products, **kwargs).filter() + + def filter_modifiers(self, **kwargs) -> list[ModifierElement]: + """Filters the modifiers attribute based on the given kwargs + + Args: + **kwargs: The attributes to filter by. + + Returns: + list[ModifierElement]: The filtered list of ModifierElement objects + """ + + return FilterWrapper[ModifierElement](self.modifiers, **kwargs).filter() + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1174,9 +1257,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, ( - f"Attribute {attr} not found in {self.__class__.__name__}" - ) + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1185,7 +1266,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1212,60 +1296,210 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_species( + + def add_to_reactants( + self, + species_id: str, + stoichiometry: float= 1, + **kwargs, + ): + params = { + "species_id": species_id, + "stoichiometry": stoichiometry + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.reactants.append( + ReactionElement(**params) + ) + + return self.reactants[-1] + + + def add_to_products( self, species_id: str, - stoichiometry: float, + stoichiometry: float= 1, **kwargs, ): - params = {"species_id": species_id, "stoichiometry": stoichiometry} + params = { + "species_id": species_id, + "stoichiometry": stoichiometry + } if "id" in kwargs: params["id"] = kwargs["id"] - self.species.append(ReactionElement(**params)) + self.products.append( + ReactionElement(**params) + ) + + return self.products[-1] + - return self.species[-1] + def add_to_modifiers( + self, + species_id: str, + role: ModifierRole, + **kwargs, + ): + params = { + "species_id": species_id, + "role": role + } + + if "id" in kwargs: + params["id"] = kwargs["id"] + + self.modifiers.append( + ModifierElement(**params) + ) + return self.modifiers[-1] class ReactionElement(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore species_id: str - stoichiometry: float + stoichiometry: float = 1 # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()), + default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:ReactionElement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "species_id": { + "@id": "schema:identifier", + "@type": "@id", + }, + } + ) + + + def set_attr_term( + self, + attr: str, + term: str | dict, + prefix: str | None = None, + iri: str | None = None + ): + """Sets the term for a given attribute in the JSON-LD object + + Example: + # Using an IRI term + >> obj.set_attr_term("name", "http://schema.org/givenName") + + # Using a prefix and term + >> obj.set_attr_term("name", "schema:givenName", "schema", "http://schema.org") + + # Usinng a dictionary term + >> obj.set_attr_term("name", {"@id": "http://schema.org/givenName", "@type": "@id"}) + + Args: + attr (str): The attribute to set the term for + term (str | dict): The term to set for the attribute + + Raises: + AssertionError: If the attribute is not found in the model + """ + + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_context[attr] = term + + def add_type_term( + self, + term: str, + prefix: str | None = None, + iri: str | None = None + ): + """Adds a term to the @type field of the JSON-LD object + + Example: + # Using a term + >> obj.add_type_term("https://schema.org/Person") + + # Using a prefixed term + >> obj.add_type_term("schema:Person", "schema", "https://schema.org/Person") + + Args: + term (str): The term to add to the @type field + prefix (str, optional): The prefix to use for the term. Defaults to None. + iri (str, optional): The IRI to use for the term prefix. Defaults to None. + + Raises: + ValueError: If prefix is provided but iri is not + ValueError: If iri is provided but prefix is not + """ + + if prefix: + validate_prefix(term, prefix) + + add_namespace(self, prefix, iri) + self.ld_type.append(term) + + +class ModifierElement(BaseModel): + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore + + species_id: str + role: ModifierRole + + # JSON-LD fields + ld_id: str = Field( + serialization_alias="@id", + default_factory=lambda: "enzml:ModifierElement/" + str(uuid4()) + ) + ld_type: list[str] = Field( + serialization_alias="@type", + default_factory = lambda: [ + "enzml:ModifierElement", + ], + ) + ld_context: dict[str, str | dict] = Field( + serialization_alias="@context", + default_factory = lambda: { + "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@id": "schema:identifier", "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1287,9 +1521,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, ( - f"Attribute {attr} not found in {self.__class__.__name__}" - ) + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1298,7 +1530,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1327,9 +1562,10 @@ def add_type_term( class Equation(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore species_id: str equation: str @@ -1339,25 +1575,25 @@ class Equation(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Equation/" + str(uuid4()), + default_factory=lambda: "enzml:Equation/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Equation", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@id": "schema:identifier", "@type": "@id", }, - }, + } ) def filter_variables(self, **kwargs) -> list[Variable]: @@ -1372,12 +1608,13 @@ def filter_variables(self, **kwargs) -> list[Variable]: return FilterWrapper[Variable](self.variables, **kwargs).filter() + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1399,9 +1636,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, ( - f"Attribute {attr} not found in {self.__class__.__name__}" - ) + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1410,7 +1645,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1437,6 +1675,7 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) + def add_to_variables( self, id: str, @@ -1444,20 +1683,26 @@ def add_to_variables( symbol: str, **kwargs, ): - params = {"id": id, "name": name, "symbol": symbol} + params = { + "id": id, + "name": name, + "symbol": symbol + } if "id" in kwargs: params["id"] = kwargs["id"] - self.variables.append(Variable(**params)) + self.variables.append( + Variable(**params) + ) return self.variables[-1] - class Variable(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore id: str name: str @@ -1466,33 +1711,34 @@ class Variable(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Variable/" + str(uuid4()), + default_factory=lambda: "enzml:Variable/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Variable", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1514,9 +1760,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, ( - f"Attribute {attr} not found in {self.__class__.__name__}" - ) + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1525,7 +1769,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1554,51 +1801,53 @@ def add_type_term( class Parameter(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore id: str name: str symbol: str - value: Optional[float] = Field(default=None) - unit: Optional[UnitDefinitionAnnot] = Field(default=None) - initial_value: Optional[float] = Field(default=None) - upper_bound: Optional[float] = Field(default=None) - lower_bound: Optional[float] = Field(default=None) - stderr: Optional[float] = Field(default=None) + value: Optional[Optional[float]] = Field(default=None) + unit: Optional[Optional[UnitDefinitionAnnot]] = Field(default=None) + initial_value: Optional[Optional[float]] = Field(default=None) + upper_bound: Optional[Optional[float]] = Field(default=None) + lower_bound: Optional[Optional[float]] = Field(default=None) + stderr: Optional[Optional[float]] = Field(default=None) constant: Optional[bool] = True # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Parameter/" + str(uuid4()), + default_factory=lambda: "enzml:Parameter/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Parameter", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1620,9 +1869,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, ( - f"Attribute {attr} not found in {self.__class__.__name__}" - ) + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1631,7 +1878,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1660,35 +1910,36 @@ def add_type_term( class Measurement(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore id: str name: str species_data: list[MeasurementData] = Field(default_factory=list) - group_id: Optional[str] = Field(default=None) - ph: Optional[float] = Field(default=None) - temperature: Optional[float] = Field(default=None) - temperature_unit: Optional[UnitDefinitionAnnot] = Field(default=None) + group_id: Optional[Optional[str]] = Field(default=None) + ph: Optional[Optional[float]] = Field(default=None) + temperature: Optional[Optional[float]] = Field(default=None) + temperature_unit: Optional[Optional[UnitDefinitionAnnot]] = Field(default=None) # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Measurement/" + str(uuid4()), + default_factory=lambda: "enzml:Measurement/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:Measurement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1696,7 +1947,7 @@ class Measurement(BaseModel): "group_id": { "@type": "@id", }, - }, + } ) def filter_species_data(self, **kwargs) -> list[MeasurementData]: @@ -1711,12 +1962,13 @@ def filter_species_data(self, **kwargs) -> list[MeasurementData]: return FilterWrapper[MeasurementData](self.species_data, **kwargs).filter() + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1738,9 +1990,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, ( - f"Attribute {attr} not found in {self.__class__.__name__}" - ) + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1749,7 +1999,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1776,83 +2029,88 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) + def add_to_species_data( self, species_id: str, - initial: float, - data_unit: UnitDefinitionAnnot, - data_type: DataTypes, - prepared: Optional[float] = None, - data: list[float] = [], - time: list[float] = [], - time_unit: Optional[UnitDefinitionAnnot] = None, - is_simulated: bool = False, + prepared: Optional[float]= None, + initial: Optional[float]= None, + data_unit: Optional[UnitDefinitionAnnot]= None, + data: list[float]= [], + time: list[float]= [], + time_unit: Optional[UnitDefinitionAnnot]= None, + data_type: Optional[DataTypes]= None, + is_simulated: Optional[bool]= False, **kwargs, ): params = { "species_id": species_id, + "prepared": prepared, "initial": initial, "data_unit": data_unit, - "data_type": data_type, - "prepared": prepared, "data": data, "time": time, "time_unit": time_unit, - "is_simulated": is_simulated, + "data_type": data_type, + "is_simulated": is_simulated } if "id" in kwargs: params["id"] = kwargs["id"] - self.species_data.append(MeasurementData(**params)) + self.species_data.append( + MeasurementData(**params) + ) return self.species_data[-1] class MeasurementData(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment=True, - ) # type: ignore + + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment = True, + ) # type: ignore species_id: str - initial: float - data_unit: UnitDefinitionAnnot - data_type: DataTypes - prepared: Optional[float] = Field(default=None) + prepared: Optional[Optional[float]] = Field(default=None) + initial: Optional[Optional[float]] = Field(default=None) + data_unit: Optional[Optional[UnitDefinitionAnnot]] = Field(default=None) data: list[float] = Field(default_factory=list) time: list[float] = Field(default_factory=list) - time_unit: Optional[UnitDefinitionAnnot] = Field(default=None) - is_simulated: bool = False + time_unit: Optional[Optional[UnitDefinitionAnnot]] = Field(default=None) + data_type: Optional[Optional[DataTypes]] = Field(default=None) + is_simulated: Optional[bool] = False # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()), + default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()) ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory=lambda: [ + default_factory = lambda: [ "enzml:MeasurementData", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory=lambda: { + default_factory = lambda: { "enzml": "http://www.enzymeml.org/v2/", - "schema": "https://schema.org/", "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", "species_id": { "@type": "@id", }, - }, + } ) + def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None, + iri: str | None = None ): """Sets the term for a given attribute in the JSON-LD object @@ -1874,9 +2132,7 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, ( - f"Attribute {attr} not found in {self.__class__.__name__}" - ) + assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" if prefix: validate_prefix(term, prefix) @@ -1885,7 +2141,10 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, term: str, prefix: str | None = None, iri: str | None = None + self, + term: str, + prefix: str | None = None, + iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1913,20 +2172,31 @@ def add_type_term( self.ld_type.append(term) +class ModifierRole(Enum): + ACTIVATOR = "activator" + ADDITIVE = "additive" + BIOCATALYST = "biocatalyst" + BUFFER = "buffer" + CATALYST = "catalyst" + INHIBITOR = "inhibitor" + SOLVENT = "solvent" + class EquationType(Enum): ASSIGNMENT = "assignment" INITIAL_ASSIGNMENT = "initialAssignment" ODE = "ode" RATE_LAW = "rateLaw" - class DataTypes(Enum): ABSORBANCE = "absorbance" + AMOUNT = "amount" CONCENTRATION = "concentration" CONVERSION = "conversion" FLUORESCENCE = "fluorescence" PEAK_AREA = "peakarea" TRANSMITTANCE = "transmittance" + TURNOVER = "turnover" + YIELD = "yield" # Rebuild all the classes within this file @@ -1939,10 +2209,11 @@ class DataTypes(Enum): SmallMolecule, Reaction, ReactionElement, + ModifierElement, Equation, Variable, Parameter, Measurement, MeasurementData, ]: - cls.model_rebuild() + cls.model_rebuild() \ No newline at end of file From fcd0d57a2d40687616039ac37fd06be29d609b53 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 01:59:17 +0200 Subject: [PATCH 109/172] remove unused imports --- pyenzyme/versions/v2.py | 606 +++++++++++++++++----------------------- 1 file changed, 253 insertions(+), 353 deletions(-) diff --git a/pyenzyme/versions/v2.py b/pyenzyme/versions/v2.py index fe90cd43..c341edc6 100644 --- a/pyenzyme/versions/v2.py +++ b/pyenzyme/versions/v2.py @@ -34,16 +34,16 @@ from __future__ import annotations from pydantic import BaseModel, Field, ConfigDict -from typing import Optional, Generic, TypeVar, Union +from typing import Optional, Generic, TypeVar from enum import Enum from uuid import uuid4 -from datetime import date, datetime from mdmodels.units.annotation import UnitDefinitionAnnot # Filter Wrapper definition used to filter a list of objects # based on their attributes Cls = TypeVar("Cls") + class FilterWrapper(Generic[Cls]): """Wrapper class to filter a list of objects based on their attributes""" @@ -80,7 +80,8 @@ def add_namespace(obj, prefix: str | None, iri: str | None): elif iri and prefix is None: raise ValueError("If iri is provided, prefix must also be provided") - obj.ld_context[prefix] = iri # type: ignore + obj.ld_context[prefix] = iri # type: ignore + def validate_prefix(term: str | dict, prefix: str): """Validates that a term is prefixed with a given prefix @@ -98,13 +99,14 @@ def validate_prefix(term: str | dict, prefix: str): elif isinstance(term, str) and not term.startswith(prefix + ":"): raise ValueError(f"Term {term} is not prefixed with {prefix}") + # Model Definitions -class EnzymeMLDocument(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore +class EnzymeMLDocument(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore name: str version: str = "2" @@ -125,17 +127,17 @@ class EnzymeMLDocument(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()) + default_factory=lambda: "enzml:EnzymeMLDocument/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:EnzymeMLDocument", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -147,7 +149,7 @@ class EnzymeMLDocument(BaseModel): "@id": "schema:citation", "@type": "@id", }, - } + }, ) def filter_creators(self, **kwargs) -> list[Creator]: @@ -258,13 +260,12 @@ def filter_parameters(self, **kwargs) -> list[Parameter]: return FilterWrapper[Parameter](self.parameters, **kwargs).filter() - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -286,7 +287,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -295,10 +298,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -325,7 +325,6 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_creators( self, given_name: str, @@ -333,29 +332,22 @@ def add_to_creators( mail: str, **kwargs, ): - params = { - "given_name": given_name, - "family_name": family_name, - "mail": mail - } + params = {"given_name": given_name, "family_name": family_name, "mail": mail} if "id" in kwargs: params["id"] = kwargs["id"] - self.creators.append( - Creator(**params) - ) + self.creators.append(Creator(**params)) return self.creators[-1] - def add_to_vessels( self, id: str, name: str, volume: float, unit: UnitDefinitionAnnot, - constant: bool= True, + constant: bool = True, **kwargs, ): params = { @@ -363,30 +355,27 @@ def add_to_vessels( "name": name, "volume": volume, "unit": unit, - "constant": constant + "constant": constant, } if "id" in kwargs: params["id"] = kwargs["id"] - self.vessels.append( - Vessel(**params) - ) + self.vessels.append(Vessel(**params)) return self.vessels[-1] - def add_to_proteins( self, id: str, name: str, - constant: bool= True, - sequence: Optional[str]= None, - vessel_id: Optional[str]= None, - ecnumber: Optional[str]= None, - organism: Optional[str]= None, - organism_tax_id: Optional[str]= None, - references: list[str]= [], + constant: bool = True, + sequence: Optional[str] = None, + vessel_id: Optional[str] = None, + ecnumber: Optional[str] = None, + organism: Optional[str] = None, + organism_tax_id: Optional[str] = None, + references: list[str] = [], **kwargs, ): params = { @@ -398,26 +387,23 @@ def add_to_proteins( "ecnumber": ecnumber, "organism": organism, "organism_tax_id": organism_tax_id, - "references": references + "references": references, } if "id" in kwargs: params["id"] = kwargs["id"] - self.proteins.append( - Protein(**params) - ) + self.proteins.append(Protein(**params)) return self.proteins[-1] - def add_to_complexes( self, id: str, name: str, - constant: bool= False, - vessel_id: Optional[str]= None, - participants: list[str]= [], + constant: bool = False, + vessel_id: Optional[str] = None, + participants: list[str] = [], **kwargs, ): params = { @@ -425,30 +411,27 @@ def add_to_complexes( "name": name, "constant": constant, "vessel_id": vessel_id, - "participants": participants + "participants": participants, } if "id" in kwargs: params["id"] = kwargs["id"] - self.complexes.append( - Complex(**params) - ) + self.complexes.append(Complex(**params)) return self.complexes[-1] - def add_to_small_molecules( self, id: str, name: str, - constant: bool= False, - vessel_id: Optional[str]= None, - canonical_smiles: Optional[str]= None, - inchi: Optional[str]= None, - inchikey: Optional[str]= None, - synonymous_names: list[str]= [], - references: list[str]= [], + constant: bool = False, + vessel_id: Optional[str] = None, + canonical_smiles: Optional[str] = None, + inchi: Optional[str] = None, + inchikey: Optional[str] = None, + synonymous_names: list[str] = [], + references: list[str] = [], **kwargs, ): params = { @@ -460,28 +443,25 @@ def add_to_small_molecules( "inchi": inchi, "inchikey": inchikey, "synonymous_names": synonymous_names, - "references": references + "references": references, } if "id" in kwargs: params["id"] = kwargs["id"] - self.small_molecules.append( - SmallMolecule(**params) - ) + self.small_molecules.append(SmallMolecule(**params)) return self.small_molecules[-1] - def add_to_reactions( self, id: str, name: str, - reversible: bool= False, - kinetic_law: Optional[Equation]= None, - reactants: list[ReactionElement]= [], - products: list[ReactionElement]= [], - modifiers: list[ModifierElement]= [], + reversible: bool = False, + kinetic_law: Optional[Equation] = None, + reactants: list[ReactionElement] = [], + products: list[ReactionElement] = [], + modifiers: list[ModifierElement] = [], **kwargs, ): params = { @@ -491,28 +471,25 @@ def add_to_reactions( "kinetic_law": kinetic_law, "reactants": reactants, "products": products, - "modifiers": modifiers + "modifiers": modifiers, } if "id" in kwargs: params["id"] = kwargs["id"] - self.reactions.append( - Reaction(**params) - ) + self.reactions.append(Reaction(**params)) return self.reactions[-1] - def add_to_measurements( self, id: str, name: str, - species_data: list[MeasurementData]= [], - group_id: Optional[str]= None, - ph: Optional[float]= None, - temperature: Optional[float]= None, - temperature_unit: Optional[UnitDefinitionAnnot]= None, + species_data: list[MeasurementData] = [], + group_id: Optional[str] = None, + ph: Optional[float] = None, + temperature: Optional[float] = None, + temperature_unit: Optional[UnitDefinitionAnnot] = None, **kwargs, ): params = { @@ -522,56 +499,50 @@ def add_to_measurements( "group_id": group_id, "ph": ph, "temperature": temperature, - "temperature_unit": temperature_unit + "temperature_unit": temperature_unit, } if "id" in kwargs: params["id"] = kwargs["id"] - self.measurements.append( - Measurement(**params) - ) + self.measurements.append(Measurement(**params)) return self.measurements[-1] - def add_to_equations( self, species_id: str, equation: str, equation_type: EquationType, - variables: list[Variable]= [], + variables: list[Variable] = [], **kwargs, ): params = { "species_id": species_id, "equation": equation, "equation_type": equation_type, - "variables": variables + "variables": variables, } if "id" in kwargs: params["id"] = kwargs["id"] - self.equations.append( - Equation(**params) - ) + self.equations.append(Equation(**params)) return self.equations[-1] - def add_to_parameters( self, id: str, name: str, symbol: str, - value: Optional[float]= None, - unit: Optional[UnitDefinitionAnnot]= None, - initial_value: Optional[float]= None, - upper_bound: Optional[float]= None, - lower_bound: Optional[float]= None, - stderr: Optional[float]= None, - constant: Optional[bool]= True, + value: Optional[float] = None, + unit: Optional[UnitDefinitionAnnot] = None, + initial_value: Optional[float] = None, + upper_bound: Optional[float] = None, + lower_bound: Optional[float] = None, + stderr: Optional[float] = None, + constant: Optional[bool] = True, **kwargs, ): params = { @@ -584,24 +555,21 @@ def add_to_parameters( "upper_bound": upper_bound, "lower_bound": lower_bound, "stderr": stderr, - "constant": constant + "constant": constant, } if "id" in kwargs: params["id"] = kwargs["id"] - self.parameters.append( - Parameter(**params) - ) + self.parameters.append(Parameter(**params)) return self.parameters[-1] class Creator(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore given_name: str family_name: str @@ -610,33 +578,30 @@ class Creator(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Creator/" + str(uuid4()) + default_factory=lambda: "enzml:Creator/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ - "enzml:Creator","schema:person" - ], + default_factory=lambda: ["enzml:Creator", "schema:person"], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", "given_name": "schema:givenName", "family_name": "schema:familyName", "mail": "schema:email", - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -658,7 +623,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -667,10 +634,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -699,10 +663,9 @@ def add_type_term( class Vessel(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore id: str name: str @@ -713,17 +676,15 @@ class Vessel(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Vessel/" + str(uuid4()) + default_factory=lambda: "enzml:Vessel/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ - "enzml:Vessel","OBO:OBI_0400081" - ], + default_factory=lambda: ["enzml:Vessel", "OBO:OBI_0400081"], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -733,16 +694,15 @@ class Vessel(BaseModel): }, "name": "schema:name", "volume": "OBO:OBI_0002139", - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -764,7 +724,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -773,10 +735,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -805,10 +764,9 @@ def add_type_term( class Protein(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore id: str name: str @@ -823,17 +781,15 @@ class Protein(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Protein/" + str(uuid4()) + default_factory=lambda: "enzml:Protein/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ - "enzml:Protein","OBO:PR_000000001" - ], + default_factory=lambda: ["enzml:Protein", "OBO:PR_000000001"], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -855,16 +811,15 @@ class Protein(BaseModel): "@id": "schema:citation", "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -886,7 +841,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -895,10 +852,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -927,10 +881,9 @@ def add_type_term( class Complex(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore id: str name: str @@ -941,17 +894,17 @@ class Complex(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Complex/" + str(uuid4()) + default_factory=lambda: "enzml:Complex/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:Complex", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -967,16 +920,15 @@ class Complex(BaseModel): "participants": { "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -998,7 +950,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -1007,10 +961,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1039,10 +990,9 @@ def add_type_term( class SmallMolecule(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore id: str name: str @@ -1057,17 +1007,17 @@ class SmallMolecule(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()) + default_factory=lambda: "enzml:SmallMolecule/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:SmallMolecule", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -1084,16 +1034,15 @@ class SmallMolecule(BaseModel): "@id": "schema:citation", "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1115,7 +1064,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -1124,10 +1075,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1156,10 +1104,9 @@ def add_type_term( class Reaction(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore id: str name: str @@ -1172,17 +1119,17 @@ class Reaction(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Reaction/" + str(uuid4()) + default_factory=lambda: "enzml:Reaction/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:Reaction", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -1190,7 +1137,7 @@ class Reaction(BaseModel): "@id": "schema:identifier", "@type": "@id", }, - } + }, ) def filter_reactants(self, **kwargs) -> list[ReactionElement]: @@ -1229,13 +1176,12 @@ def filter_modifiers(self, **kwargs) -> list[ModifierElement]: return FilterWrapper[ModifierElement](self.modifiers, **kwargs).filter() - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1257,7 +1203,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -1266,10 +1214,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1296,74 +1241,56 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_reactants( self, species_id: str, - stoichiometry: float= 1, + stoichiometry: float = 1, **kwargs, ): - params = { - "species_id": species_id, - "stoichiometry": stoichiometry - } + params = {"species_id": species_id, "stoichiometry": stoichiometry} if "id" in kwargs: params["id"] = kwargs["id"] - self.reactants.append( - ReactionElement(**params) - ) + self.reactants.append(ReactionElement(**params)) return self.reactants[-1] - def add_to_products( self, species_id: str, - stoichiometry: float= 1, + stoichiometry: float = 1, **kwargs, ): - params = { - "species_id": species_id, - "stoichiometry": stoichiometry - } + params = {"species_id": species_id, "stoichiometry": stoichiometry} if "id" in kwargs: params["id"] = kwargs["id"] - self.products.append( - ReactionElement(**params) - ) + self.products.append(ReactionElement(**params)) return self.products[-1] - def add_to_modifiers( self, species_id: str, role: ModifierRole, **kwargs, ): - params = { - "species_id": species_id, - "role": role - } + params = {"species_id": species_id, "role": role} if "id" in kwargs: params["id"] = kwargs["id"] - self.modifiers.append( - ModifierElement(**params) - ) + self.modifiers.append(ModifierElement(**params)) return self.modifiers[-1] -class ReactionElement(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore +class ReactionElement(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore species_id: str stoichiometry: float = 1 @@ -1371,17 +1298,17 @@ class ReactionElement(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()) + default_factory=lambda: "enzml:ReactionElement/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:ReactionElement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -1389,16 +1316,15 @@ class ReactionElement(BaseModel): "@id": "schema:identifier", "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1420,7 +1346,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -1429,10 +1357,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1461,10 +1386,9 @@ def add_type_term( class ModifierElement(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore species_id: str role: ModifierRole @@ -1472,17 +1396,17 @@ class ModifierElement(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:ModifierElement/" + str(uuid4()) + default_factory=lambda: "enzml:ModifierElement/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:ModifierElement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -1490,16 +1414,15 @@ class ModifierElement(BaseModel): "@id": "schema:identifier", "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1521,7 +1444,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -1530,10 +1455,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1562,10 +1484,9 @@ def add_type_term( class Equation(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore species_id: str equation: str @@ -1575,17 +1496,17 @@ class Equation(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Equation/" + str(uuid4()) + default_factory=lambda: "enzml:Equation/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:Equation", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -1593,7 +1514,7 @@ class Equation(BaseModel): "@id": "schema:identifier", "@type": "@id", }, - } + }, ) def filter_variables(self, **kwargs) -> list[Variable]: @@ -1608,13 +1529,12 @@ def filter_variables(self, **kwargs) -> list[Variable]: return FilterWrapper[Variable](self.variables, **kwargs).filter() - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1636,7 +1556,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -1645,10 +1567,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1675,7 +1594,6 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_variables( self, id: str, @@ -1683,26 +1601,20 @@ def add_to_variables( symbol: str, **kwargs, ): - params = { - "id": id, - "name": name, - "symbol": symbol - } + params = {"id": id, "name": name, "symbol": symbol} if "id" in kwargs: params["id"] = kwargs["id"] - self.variables.append( - Variable(**params) - ) + self.variables.append(Variable(**params)) return self.variables[-1] -class Variable(BaseModel): - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore +class Variable(BaseModel): + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore id: str name: str @@ -1711,17 +1623,17 @@ class Variable(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Variable/" + str(uuid4()) + default_factory=lambda: "enzml:Variable/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:Variable", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -1729,16 +1641,15 @@ class Variable(BaseModel): "@id": "schema:identifier", "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1760,7 +1671,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -1769,10 +1682,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1801,10 +1711,9 @@ def add_type_term( class Parameter(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore id: str name: str @@ -1820,17 +1729,17 @@ class Parameter(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Parameter/" + str(uuid4()) + default_factory=lambda: "enzml:Parameter/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:Parameter", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -1838,16 +1747,15 @@ class Parameter(BaseModel): "@id": "schema:identifier", "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1869,7 +1777,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -1878,10 +1788,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -1910,10 +1817,9 @@ def add_type_term( class Measurement(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore id: str name: str @@ -1926,17 +1832,17 @@ class Measurement(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:Measurement/" + str(uuid4()) + default_factory=lambda: "enzml:Measurement/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:Measurement", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", @@ -1947,7 +1853,7 @@ class Measurement(BaseModel): "group_id": { "@type": "@id", }, - } + }, ) def filter_species_data(self, **kwargs) -> list[MeasurementData]: @@ -1962,13 +1868,12 @@ def filter_species_data(self, **kwargs) -> list[MeasurementData]: return FilterWrapper[MeasurementData](self.species_data, **kwargs).filter() - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -1990,7 +1895,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -1999,10 +1906,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -2029,18 +1933,17 @@ def add_type_term( add_namespace(self, prefix, iri) self.ld_type.append(term) - def add_to_species_data( self, species_id: str, - prepared: Optional[float]= None, - initial: Optional[float]= None, - data_unit: Optional[UnitDefinitionAnnot]= None, - data: list[float]= [], - time: list[float]= [], - time_unit: Optional[UnitDefinitionAnnot]= None, - data_type: Optional[DataTypes]= None, - is_simulated: Optional[bool]= False, + prepared: Optional[float] = None, + initial: Optional[float] = None, + data_unit: Optional[UnitDefinitionAnnot] = None, + data: list[float] = [], + time: list[float] = [], + time_unit: Optional[UnitDefinitionAnnot] = None, + data_type: Optional[DataTypes] = None, + is_simulated: Optional[bool] = False, **kwargs, ): params = { @@ -2052,24 +1955,21 @@ def add_to_species_data( "time": time, "time_unit": time_unit, "data_type": data_type, - "is_simulated": is_simulated + "is_simulated": is_simulated, } if "id" in kwargs: params["id"] = kwargs["id"] - self.species_data.append( - MeasurementData(**params) - ) + self.species_data.append(MeasurementData(**params)) return self.species_data[-1] class MeasurementData(BaseModel): - - model_config: ConfigDict = ConfigDict( # type: ignore - validate_assignment = True, - ) # type: ignore + model_config: ConfigDict = ConfigDict( # type: ignore + validate_assignment=True, + ) # type: ignore species_id: str prepared: Optional[Optional[float]] = Field(default=None) @@ -2084,33 +1984,32 @@ class MeasurementData(BaseModel): # JSON-LD fields ld_id: str = Field( serialization_alias="@id", - default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()) + default_factory=lambda: "enzml:MeasurementData/" + str(uuid4()), ) ld_type: list[str] = Field( serialization_alias="@type", - default_factory = lambda: [ + default_factory=lambda: [ "enzml:MeasurementData", ], ) ld_context: dict[str, str | dict] = Field( serialization_alias="@context", - default_factory = lambda: { + default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", "species_id": { "@type": "@id", }, - } + }, ) - def set_attr_term( self, attr: str, term: str | dict, prefix: str | None = None, - iri: str | None = None + iri: str | None = None, ): """Sets the term for a given attribute in the JSON-LD object @@ -2132,7 +2031,9 @@ def set_attr_term( AssertionError: If the attribute is not found in the model """ - assert attr in self.model_fields, f"Attribute {attr} not found in {self.__class__.__name__}" + assert attr in self.model_fields, ( + f"Attribute {attr} not found in {self.__class__.__name__}" + ) if prefix: validate_prefix(term, prefix) @@ -2141,10 +2042,7 @@ def set_attr_term( self.ld_context[attr] = term def add_type_term( - self, - term: str, - prefix: str | None = None, - iri: str | None = None + self, term: str, prefix: str | None = None, iri: str | None = None ): """Adds a term to the @type field of the JSON-LD object @@ -2181,12 +2079,14 @@ class ModifierRole(Enum): INHIBITOR = "inhibitor" SOLVENT = "solvent" + class EquationType(Enum): ASSIGNMENT = "assignment" INITIAL_ASSIGNMENT = "initialAssignment" ODE = "ode" RATE_LAW = "rateLaw" + class DataTypes(Enum): ABSORBANCE = "absorbance" AMOUNT = "amount" @@ -2216,4 +2116,4 @@ class DataTypes(Enum): Measurement, MeasurementData, ]: - cls.model_rebuild() \ No newline at end of file + cls.model_rebuild() From c61836c96d2fcb34705bd6bacb1a5f332d5089d4 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 12:20:01 +0200 Subject: [PATCH 110/172] test suite interface --- pyenzyme/__init__.py | 1 + pyenzyme/suite.py | 6 +++--- tests/integration/test_suite.py | 35 +++++++++++++++++++++++++++++++++ 3 files changed, 39 insertions(+), 3 deletions(-) create mode 100644 tests/integration/test_suite.py diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index d0b72925..2cdc82db 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -13,6 +13,7 @@ from_excel = EnzymeMLHandler.from_excel from_sbml = EnzymeMLHandler.from_sbml read_enzymeml = EnzymeMLHandler.read_enzymeml +read_enzymeml_from_string = EnzymeMLHandler.read_enzymeml_from_string # Output functions to_pandas = EnzymeMLHandler.to_pandas diff --git a/pyenzyme/suite.py b/pyenzyme/suite.py index c4182d07..96491036 100644 --- a/pyenzyme/suite.py +++ b/pyenzyme/suite.py @@ -14,11 +14,11 @@ class EnzymeMLSuite: client (httpx.Client): The HTTP client for making requests to the EnzymeML service. """ - def __init__(self): + def __init__(self, url: str = "http://localhost:13452"): """ Initializes the EnzymeMLSuite with a base URL for the EnzymeML service. """ - self.client = httpx.Client(base_url="http://localhost:13452") + self.client = httpx.Client(base_url=url) def get_current(self) -> pe.EnzymeMLDocument: """ @@ -45,7 +45,7 @@ def get_current(self) -> pe.EnzymeMLDocument: if not isinstance(content["references"], list): content["references"] = [] - return pe.EnzymeMLDocument.model_validate(content) + return pe.read_enzymeml_from_string(content) def update_current(self, doc: pe.EnzymeMLDocument): """ diff --git a/tests/integration/test_suite.py b/tests/integration/test_suite.py new file mode 100644 index 00000000..46dadfa8 --- /dev/null +++ b/tests/integration/test_suite.py @@ -0,0 +1,35 @@ +import json +import pyenzyme as pe +from pyenzyme.suite import EnzymeMLSuite +from pytest_httpx import HTTPXMock + +from pyenzyme.tools import to_dict_wo_json_ld +from pyenzyme.versions import v2 + + +class TestSuite: + def test_fetch_current(self, httpx_mock: HTTPXMock): + # Arrange + with open("tests/fixtures/sbml/ode_example_enzml.json", "r") as f: + data = json.load(f) + httpx_mock.add_response(json={"data": {"content": data}}) + + # Act + suite = EnzymeMLSuite("https://test_url") + expected = v2.EnzymeMLDocument.model_validate(data) + doc = suite.get_current() + + # Assert + assert to_dict_wo_json_ld(doc) == to_dict_wo_json_ld(expected) + + def test_update_current(self, httpx_mock: HTTPXMock): + # Arrange + with open("tests/fixtures/sbml/ode_example_enzml.json", "r") as f: + data = pe.read_enzymeml_from_string(json.load(f)) + httpx_mock.add_response( + match_json=json.loads(data.model_dump_json()), + ) + + # Act + suite = EnzymeMLSuite("https://test_url") + suite.update_current(data) From a388daa4900f114001c555133a3ff8721454fde1 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 12:20:19 +0200 Subject: [PATCH 111/172] use poetry and add httpx mock --- .github/workflows/unit-tests.yaml | 5 +++-- pyproject.toml | 1 + 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/.github/workflows/unit-tests.yaml b/.github/workflows/unit-tests.yaml index 7a5a729a..b082e1ac 100644 --- a/.github/workflows/unit-tests.yaml +++ b/.github/workflows/unit-tests.yaml @@ -20,8 +20,9 @@ jobs: - name: Install dependencies run: | python3 -m pip install --upgrade pip - python3 -m pip install pytest-cov openpyxl - pip3 install -e . + python3 -m pip install poetry + + poetry install --with tests - name: Test with pytest run: | python3 -m pytest -v diff --git a/pyproject.toml b/pyproject.toml index 679a0d60..e67ad73d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,6 +29,7 @@ openpyxl = "^3.1.4" [tool.poetry.group.tests.dependencies] openpyxl = "^3.1.4" pytest = "^8.2.2" +pytest-httpx = "^0.35.0" [build-system] requires = ["poetry-core"] From b752b404ebc4cde234748f17f20992d01ed4d037 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 12:20:25 +0200 Subject: [PATCH 112/172] read in from string --- pyenzyme/versions/io.py | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) diff --git a/pyenzyme/versions/io.py b/pyenzyme/versions/io.py index 098007e9..e33b1bcd 100644 --- a/pyenzyme/versions/io.py +++ b/pyenzyme/versions/io.py @@ -52,6 +52,30 @@ def read_enzymeml(cls, path: str) -> v2.EnzymeMLDocument: # noqa: F405 raise ValueError(f"Invalid EnzymeML version: {path}") + @classmethod + def read_enzymeml_from_string(cls, data: str) -> v2.EnzymeMLDocument: # noqa: F405 + """Read an EnzymeML document from a string. + + Attempts to read the document using different version parsers until successful. + + Args: + data: The EnzymeML document as a string + + Returns: + An EnzymeMLDocument object + + Raises: + ValueError: If the document cannot be parsed with any available version + """ + for version in AVAILABLE_VERSIONS: + if version == "v2": + try: + return v2.EnzymeMLDocument.model_validate(data) + except ValidationError: + continue + + raise ValueError("Could not parse EnzymeML document: Invalid JSON") + @classmethod def from_dataframe( cls, From 7d1af971a2f38d90fe6c67abc09616806057a196 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 12:21:46 +0200 Subject: [PATCH 113/172] revert poetry --- .github/workflows/unit-tests.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/unit-tests.yaml b/.github/workflows/unit-tests.yaml index b082e1ac..06860022 100644 --- a/.github/workflows/unit-tests.yaml +++ b/.github/workflows/unit-tests.yaml @@ -20,9 +20,9 @@ jobs: - name: Install dependencies run: | python3 -m pip install --upgrade pip - python3 -m pip install poetry + python3 -m pip install pytest-cov openpyxl pytest-httpx + pip3 install -e . - poetry install --with tests - name: Test with pytest run: | python3 -m pytest -v From e2a1ac0b69d157349b22afc8e248c57bd062f16e Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 14:13:01 +0200 Subject: [PATCH 114/172] add composer function --- pyenzyme/__init__.py | 2 + pyenzyme/composer.py | 214 ++++++++++++++++ tests/fixtures/compose/expected_compose.json | 240 ++++++++++++++++++ .../compose/expected_compose_no_vessel.json | 202 +++++++++++++++ tests/integration/test_composer.py | 61 +++++ 5 files changed, 719 insertions(+) create mode 100644 pyenzyme/composer.py create mode 100644 tests/fixtures/compose/expected_compose.json create mode 100644 tests/fixtures/compose/expected_compose_no_vessel.json create mode 100644 tests/integration/test_composer.py diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index 2cdc82db..9d854481 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -5,6 +5,7 @@ from .versions.v2 import * # noqa: F403 from .versions.io import EnzymeMLHandler from .fetcher import * # noqa: F403 +from .composer import compose from .suite import EnzymeMLSuite # Input functions @@ -32,4 +33,5 @@ "to_pandas", "to_sbml", "write_enzymeml", + "compose", ] diff --git a/pyenzyme/composer.py b/pyenzyme/composer.py new file mode 100644 index 00000000..6ac0ee05 --- /dev/null +++ b/pyenzyme/composer.py @@ -0,0 +1,214 @@ +from typing import List, Optional, Tuple, Callable, Any + +from rich.console import Console + +from pyenzyme.fetcher.chebi import fetch_chebi +from pyenzyme.fetcher.pdb import fetch_pdb +from pyenzyme.fetcher.pubchem import fetch_pubchem +from pyenzyme.fetcher.rhea import fetch_rhea +from pyenzyme.fetcher.uniprot import fetch_uniprot +from pyenzyme.versions import v2 + +PROTEIN_FETCHERS = [ + fetch_uniprot, + fetch_pdb, +] + +SMALL_MOLECULE_FETCHERS = [ + fetch_pubchem, + fetch_chebi, +] + +REACTION_FETCHERS = [ + fetch_rhea, +] + +console = Console() + + +def compose( + name: str, + proteins: Optional[list[str]] = None, + small_molecules: Optional[list[str]] = None, + reactions: Optional[list[str]] = None, + vessel: Optional[v2.Vessel] = None, +) -> v2.EnzymeMLDocument: + """ + Compose an EnzymeML document from proteins, small molecules, and reactions. + + Args: + name: Name of the EnzymeML document + proteins: List of protein identifiers to fetch + small_molecules: List of small molecule identifiers to fetch + reactions: List of reaction identifiers to fetch + vessel: Optional vessel to associate with the entities + + Returns: + A complete EnzymeML document with fetched entities + """ + proteins = proteins or [] + small_molecules = small_molecules or [] + reactions = reactions or [] + + protein_objects = [] + small_molecule_objects = [] + reaction_objects = [] + small_molecule_reaction_objects = [] + + # Fetch proteins + if proteins: + with console.status("[bold cyan]Fetching proteins...") as status: + protein_objects = [_fetch_protein(p) for p in proteins] + status.update("[bold cyan]Proteins fetched successfully") + console.print("[bold green]Proteins fetched successfully") + + # Fetch small molecules + if small_molecules: + with console.status("[bold cyan]Fetching small molecules...") as status: + small_molecule_objects = [ + _fetch_small_molecule(sm) for sm in small_molecules + ] + status.update("[bold cyan]Small molecules fetched successfully") + console.print("[bold green]Small molecules fetched successfully") + + # Fetch reactions + if reactions: + with console.status("[bold cyan]Fetching reactions...") as status: + for r in reactions: + reaction, smallmols = _fetch_reaction(r) + reaction_objects.append(reaction) + small_molecule_reaction_objects.extend(smallmols) + status.update("[bold cyan]Reactions fetched successfully") + console.print("[bold green]Reactions fetched successfully") + + # Merge small molecules from reactions with explicitly provided ones + small_molecule_objects.extend(small_molecule_reaction_objects) + + # Remove duplicates + small_molecule_objects = _remove_duplicates(small_molecule_objects) + protein_objects = _remove_duplicates(protein_objects) + reaction_objects = _remove_duplicates(reaction_objects) + + # Sort by ID + small_molecule_objects.sort(key=lambda x: x.id) + protein_objects.sort(key=lambda x: x.id) + reaction_objects.sort(key=lambda x: x.id) + + # Set vessel IDs if vessel is provided + vessels = [] + if vessel: + for item in small_molecule_objects + protein_objects: + item.vessel_id = vessel.id + vessels = [vessel] + + return v2.EnzymeMLDocument( + name=name, + proteins=protein_objects, + small_molecules=small_molecule_objects, + reactions=reaction_objects, + vessels=vessels, + ) + + +def _fetch_protein(protein_id: str) -> v2.Protein: + """ + Fetch protein information using available fetchers. + + Args: + protein_id: Identifier for the protein to fetch + + Returns: + Protein object with fetched data + + Raises: + ValueError: If no fetcher can handle the given protein ID + """ + return _fetch_with_fetchers(protein_id, PROTEIN_FETCHERS, "protein") + + +def _fetch_small_molecule(small_molecule_id: str) -> v2.SmallMolecule: + """ + Fetch small molecule information using available fetchers. + + Args: + small_molecule_id: Identifier for the small molecule to fetch + + Returns: + SmallMolecule object with fetched data + + Raises: + ValueError: If no fetcher can handle the given small molecule ID + """ + return _fetch_with_fetchers( + small_molecule_id, SMALL_MOLECULE_FETCHERS, "small molecule" + ) + + +def _fetch_reaction(reaction_id: str) -> Tuple[v2.Reaction, List[v2.SmallMolecule]]: + """ + Fetch reaction information using available fetchers. + + Args: + reaction_id: Identifier for the reaction to fetch + + Returns: + Tuple containing the Reaction object and a list of associated SmallMolecule objects + + Raises: + ValueError: If no fetcher can handle the given reaction ID + """ + return _fetch_with_fetchers(reaction_id, REACTION_FETCHERS, "reaction") + + +def _fetch_with_fetchers( + entity_id: str, fetchers: List[Callable], entity_type: str +) -> Any: + """ + Generic function to attempt fetching with multiple fetchers. + + Args: + entity_id: Identifier for the entity to fetch + fetchers: List of fetcher functions to try + entity_type: Type of entity being fetched (for error message) + + Returns: + Fetched entity data + + Raises: + ValueError: If no fetcher can handle the given entity ID + """ + for fetcher in fetchers: + try: + return fetcher(entity_id) + except Exception: + continue + + fetcher_names = ", ".join(f.__name__ for f in fetchers) + raise ValueError( + f"No {entity_type} fetcher found for {entity_id}. " + f"Supported fetchers: {fetcher_names}" + ) + + +def _remove_duplicates(objects: List[Any]) -> List[Any]: + """ + Remove duplicate objects based on their ID attribute. + + Args: + objects: List of objects to deduplicate + + Returns: + List of unique objects + """ + ids = set() + unique_objects = [] + + for obj in objects: + if not hasattr(obj, "id"): + continue + + if obj.id not in ids: + ids.add(obj.id) + unique_objects.append(obj) + + return unique_objects diff --git a/tests/fixtures/compose/expected_compose.json b/tests/fixtures/compose/expected_compose.json new file mode 100644 index 00000000..847aca48 --- /dev/null +++ b/tests/fixtures/compose/expected_compose.json @@ -0,0 +1,240 @@ +{ + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "name": "schema:title", + "created": "schema:dateCreated", + "modified": "schema:dateModified", + "creators": "schema:creator", + "references": { + "@id": "schema:citation", + "@type": "@id" + } + }, + "@id": "enzml:EnzymeMLDocument/cd2b1ca9-9a3c-41b7-b88c-9947888b9cc7", + "@type": [ + "enzml:EnzymeMLDocument" + ], + "name": "test", + "version": "2", + "creators": [], + "vessels": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "name": "schema:name", + "volume": "OBO:OBI_0002139" + }, + "@id": "enzml:Vessel/1d11fa6a-7338-4933-b254-ee5b03fc1573", + "@type": [ + "enzml:Vessel", + "OBO:OBI_0400081" + ], + "id": "vessel", + "name": "vessel", + "volume": 1.0, + "unit": { + "id": "ml", + "name": "ml", + "base_units": [ + { + "kind": "litre", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 + } + ] + }, + "constant": true + } + ], + "proteins": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "name": "schema:name", + "sequence": "OBO:GSSO_007262", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "organism": "OBO:OBI_0100026", + "organism_tax_id": { + "@type": "@id" + }, + "references": { + "@id": "schema:citation", + "@type": "@id" + }, + "pdb": "https://www.rcsb.org/structure/" + }, + "@id": "pdb:1A23", + "@type": [ + "enzml:Protein", + "OBO:PR_000000001", + "pdb:1A23" + ], + "id": "1a23_1", + "name": "SOLUTION NMR STRUCTURE OF REDUCED DSBA FROM ESCHERICHIA COLI, MINIMIZED AVERAGE STRUCTURE", + "constant": true, + "sequence": "AQYEDGKQYTTLEKPVAGAPQVLEFFSFFCPHCYQFEEVLHISDNVKKKLPEGVKMTKYHVNFMGGDLGKDLTQAWAVAMALGVEDKVTVPLFEGVQKTQTIRSASDIRDVFINAGIKGEEYDAAWNSFVVKSLVAQQEKAAADVQLRGVPAMFVNGKYQLNPQGMDTSNMDVFVQQYADTVKYLSEKK", + "vessel_id": "vessel", + "references": [ + "https://www.rcsb.org/structure/1A23" + ] + } + ], + "complexes": [], + "small_molecules": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "name": "schema:name", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "references": { + "@id": "schema:citation", + "@type": "@id" + } + }, + "@id": "OBO:CHEBI_32557", + "@type": [ + "enzml:SmallMolecule", + "OBO:CHEBI_32557" + ], + "id": "d_lysinium_1", + "name": "D-lysinium(1+)", + "constant": false, + "vessel_id": "vessel", + "canonical_smiles": "[NH3+]CCCC[C@@H]([NH3+])C([O-])=O", + "inchi": "InChI=1S/C6H14N2O2/c7-4-2-1-3-5(8)6(9)10/h5H,1-4,7-8H2,(H,9,10)/p+1/t5-/m1/s1", + "inchikey": "KDXKERNSBIXSRK-RXMQYKEDSA-O", + "synonymous_names": [], + "references": [ + "https://www.ebi.ac.uk/chebi/searchId.do?chebiId=CHEBI:32557" + ] + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "name": "schema:name", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "references": { + "@id": "schema:citation", + "@type": "@id" + } + }, + "@id": "OBO:CHEBI_32551", + "@type": [ + "enzml:SmallMolecule", + "OBO:CHEBI_32551" + ], + "id": "l_lysinium_1", + "name": "L-lysinium(1+)", + "constant": false, + "vessel_id": "vessel", + "canonical_smiles": "[NH3+]CCCC[C@H]([NH3+])C([O-])=O", + "inchi": "InChI=1S/C6H14N2O2/c7-4-2-1-3-5(8)6(9)10/h5H,1-4,7-8H2,(H,9,10)/p+1/t5-/m0/s1", + "inchikey": "KDXKERNSBIXSRK-YFKPBYRVSA-O", + "synonymous_names": [], + "references": [ + "https://www.ebi.ac.uk/chebi/searchId.do?chebiId=CHEBI:32551" + ] + } + ], + "reactions": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "rhea": "http://www.rhea-db.org/rhea/" + }, + "@id": "rhea:22864", + "@type": [ + "enzml:Reaction", + "rhea:22864" + ], + "id": "RHEA:22864", + "name": "RHEA:22864", + "reversible": true, + "reactants": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@id": "schema:identifier", + "@type": "@id" + } + }, + "@id": "enzml:ReactionElement/4803525e-6bf6-4350-8bc6-5a99e08e358d", + "@type": [ + "enzml:ReactionElement" + ], + "species_id": "l_lysinium_1", + "stoichiometry": 1.0 + } + ], + "products": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@id": "schema:identifier", + "@type": "@id" + } + }, + "@id": "enzml:ReactionElement/95a275a4-8089-4ca8-a3e8-228431b66e92", + "@type": [ + "enzml:ReactionElement" + ], + "species_id": "d_lysinium_1", + "stoichiometry": 1.0 + } + ], + "modifiers": [] + } + ], + "measurements": [], + "equations": [], + "parameters": [], + "references": [] +} \ No newline at end of file diff --git a/tests/fixtures/compose/expected_compose_no_vessel.json b/tests/fixtures/compose/expected_compose_no_vessel.json new file mode 100644 index 00000000..6d120e21 --- /dev/null +++ b/tests/fixtures/compose/expected_compose_no_vessel.json @@ -0,0 +1,202 @@ +{ + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "name": "schema:title", + "created": "schema:dateCreated", + "modified": "schema:dateModified", + "creators": "schema:creator", + "references": { + "@id": "schema:citation", + "@type": "@id" + } + }, + "@id": "enzml:EnzymeMLDocument/7d988109-96cf-4623-a1bc-678a253a75f1", + "@type": [ + "enzml:EnzymeMLDocument" + ], + "name": "test", + "version": "2", + "creators": [], + "vessels": [], + "proteins": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "name": "schema:name", + "sequence": "OBO:GSSO_007262", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "organism": "OBO:OBI_0100026", + "organism_tax_id": { + "@type": "@id" + }, + "references": { + "@id": "schema:citation", + "@type": "@id" + }, + "pdb": "https://www.rcsb.org/structure/" + }, + "@id": "pdb:1A23", + "@type": [ + "enzml:Protein", + "OBO:PR_000000001", + "pdb:1A23" + ], + "id": "1a23_1", + "name": "SOLUTION NMR STRUCTURE OF REDUCED DSBA FROM ESCHERICHIA COLI, MINIMIZED AVERAGE STRUCTURE", + "constant": true, + "sequence": "AQYEDGKQYTTLEKPVAGAPQVLEFFSFFCPHCYQFEEVLHISDNVKKKLPEGVKMTKYHVNFMGGDLGKDLTQAWAVAMALGVEDKVTVPLFEGVQKTQTIRSASDIRDVFINAGIKGEEYDAAWNSFVVKSLVAQQEKAAADVQLRGVPAMFVNGKYQLNPQGMDTSNMDVFVQQYADTVKYLSEKK", + "references": [ + "https://www.rcsb.org/structure/1A23" + ] + } + ], + "complexes": [], + "small_molecules": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "name": "schema:name", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "references": { + "@id": "schema:citation", + "@type": "@id" + } + }, + "@id": "OBO:CHEBI_32557", + "@type": [ + "enzml:SmallMolecule", + "OBO:CHEBI_32557" + ], + "id": "d_lysinium_1", + "name": "D-lysinium(1+)", + "constant": false, + "canonical_smiles": "[NH3+]CCCC[C@@H]([NH3+])C([O-])=O", + "inchi": "InChI=1S/C6H14N2O2/c7-4-2-1-3-5(8)6(9)10/h5H,1-4,7-8H2,(H,9,10)/p+1/t5-/m1/s1", + "inchikey": "KDXKERNSBIXSRK-RXMQYKEDSA-O", + "synonymous_names": [], + "references": [ + "https://www.ebi.ac.uk/chebi/searchId.do?chebiId=CHEBI:32557" + ] + }, + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "name": "schema:name", + "vessel_id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "references": { + "@id": "schema:citation", + "@type": "@id" + } + }, + "@id": "OBO:CHEBI_32551", + "@type": [ + "enzml:SmallMolecule", + "OBO:CHEBI_32551" + ], + "id": "l_lysinium_1", + "name": "L-lysinium(1+)", + "constant": false, + "canonical_smiles": "[NH3+]CCCC[C@H]([NH3+])C([O-])=O", + "inchi": "InChI=1S/C6H14N2O2/c7-4-2-1-3-5(8)6(9)10/h5H,1-4,7-8H2,(H,9,10)/p+1/t5-/m0/s1", + "inchikey": "KDXKERNSBIXSRK-YFKPBYRVSA-O", + "synonymous_names": [], + "references": [ + "https://www.ebi.ac.uk/chebi/searchId.do?chebiId=CHEBI:32551" + ] + } + ], + "reactions": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "id": { + "@id": "schema:identifier", + "@type": "@id" + }, + "rhea": "http://www.rhea-db.org/rhea/" + }, + "@id": "rhea:22864", + "@type": [ + "enzml:Reaction", + "rhea:22864" + ], + "id": "RHEA:22864", + "name": "RHEA:22864", + "reversible": true, + "reactants": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@id": "schema:identifier", + "@type": "@id" + } + }, + "@id": "enzml:ReactionElement/f418b15b-0a7f-4633-8c79-c9dafbf6dce7", + "@type": [ + "enzml:ReactionElement" + ], + "species_id": "l_lysinium_1", + "stoichiometry": 1.0 + } + ], + "products": [ + { + "@context": { + "enzml": "http://www.enzymeml.org/v2/", + "OBO": "http://purl.obolibrary.org/obo/", + "schema": "https://schema.org/", + "species_id": { + "@id": "schema:identifier", + "@type": "@id" + } + }, + "@id": "enzml:ReactionElement/10458afc-7861-45fc-8992-ea0d67d4e448", + "@type": [ + "enzml:ReactionElement" + ], + "species_id": "d_lysinium_1", + "stoichiometry": 1.0 + } + ], + "modifiers": [] + } + ], + "measurements": [], + "equations": [], + "parameters": [], + "references": [] +} \ No newline at end of file diff --git a/tests/integration/test_composer.py b/tests/integration/test_composer.py new file mode 100644 index 00000000..375a3830 --- /dev/null +++ b/tests/integration/test_composer.py @@ -0,0 +1,61 @@ +import pytest +import pyenzyme as pe +from pyenzyme.tools import to_dict_wo_json_ld + + +class TestComposer: + def test_compose(self): + # Act + doc = pe.compose( + name="test", + vessel=pe.Vessel( + id="vessel", + name="vessel", + volume=1.0, + unit="ml", # type: ignore + ), + proteins=["1A23"], + small_molecules=["CHEBI:32551"], + reactions=["RHEA:22864"], + ) + + # Assert + expected_doc = pe.read_enzymeml("tests/fixtures/compose/expected_compose.json") + assert to_dict_wo_json_ld(doc) == to_dict_wo_json_ld(expected_doc) + + def test_compose_no_vessel(self): + # Act + doc = pe.compose( + name="test", + proteins=["1A23"], + small_molecules=["CHEBI:32551"], + reactions=["RHEA:22864"], + ) + + # Assert + expected_doc = pe.read_enzymeml( + "tests/fixtures/compose/expected_compose_no_vessel.json" + ) + assert to_dict_wo_json_ld(doc) == to_dict_wo_json_ld(expected_doc) + + def test_compose_invalid_id(self): + # Act + # Invalid Protein ID + with pytest.raises(ValueError): + pe.compose( + name="test", + proteins=["1A23", "INVALID"], + ) + # Invalid Small Molecule ID + with pytest.raises(ValueError): + pe.compose( + name="test", + small_molecules=["CHEBI:32551", "INVALID"], + ) + + # Invalid Reaction ID + with pytest.raises(ValueError): + pe.compose( + name="test", + reactions=["RHEA:22864", "INVALID"], + ) From 26805d74c3238c578cf9a13cc32391910e01499f Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 14:13:07 +0200 Subject: [PATCH 115/172] add pdb fetcher --- pyenzyme/fetcher/__init__.py | 4 + pyenzyme/fetcher/pdb.py | 257 +++++++++++++++++++++++++++++++++++ 2 files changed, 261 insertions(+) create mode 100644 pyenzyme/fetcher/pdb.py diff --git a/pyenzyme/fetcher/__init__.py b/pyenzyme/fetcher/__init__.py index acc49191..ed1ec769 100644 --- a/pyenzyme/fetcher/__init__.py +++ b/pyenzyme/fetcher/__init__.py @@ -1,9 +1,13 @@ from .chebi import fetch_chebi +from .pdb import fetch_pdb +from .pubchem import fetch_pubchem from .uniprot import fetch_uniprot from .rhea import fetch_rhea __all__ = [ "fetch_chebi", + "fetch_pdb", + "fetch_pubchem", "fetch_uniprot", "fetch_rhea", ] diff --git a/pyenzyme/fetcher/pdb.py b/pyenzyme/fetcher/pdb.py new file mode 100644 index 00000000..46ed5886 --- /dev/null +++ b/pyenzyme/fetcher/pdb.py @@ -0,0 +1,257 @@ +""" +PDB fetcher for retrieving protein entries by ID and mapping them to the PyEnzyme data model. + +This module provides functionality to fetch protein data from the +Protein Data Bank by ID and map it to the PyEnzyme data model (v2). +""" + +import requests +from typing import List, Optional, Dict, Any +from pydantic import BaseModel, Field +from pyenzyme.fetcher.chebi import process_id +from pyenzyme.versions import v2 + + +class Citation(BaseModel): + """Model for PDB citation data""" + + title: Optional[str] = None + authors: Optional[List[str]] = None + journal_name: Optional[str] = Field(default=None, alias="journal_abbrev") + year: Optional[int] = None + doi: Optional[str] = None + pubmed_id: Optional[str] = Field(default=None, alias="pdbx_database_id_PubMed") + + +class StructInfo(BaseModel): + """Model for PDB structure information""" + + title: Optional[str] = None + experimental_method: Optional[str] = None + resolution: Optional[float] = None + + +class EntityInfo(BaseModel): + """Model for PDB entity information""" + + description: Optional[str] = None + polymer_type: Optional[str] = None + ec_number: Optional[str] = None + sequence: Optional[str] = None + organism_scientific_name: Optional[str] = None + organism_taxid: Optional[int] = None + + +class PDBResponse(BaseModel): + """Model for PDB API response""" + + pdb_id: str + citation: List[Citation] = [] + struct: Optional[StructInfo] = None + polymer_entities: Optional[Dict[str, EntityInfo]] = None + rcsb_primary_citation: Optional[Dict[str, Any]] = None + rcsb_entry_info: Optional[Dict[str, Any]] = None + + +class PDBClient: + """Client for accessing the PDB API""" + + BASE_URL = "https://data.rcsb.org/rest/v1/core" + + def get_entry_by_id(self, pdb_id: str) -> Optional[PDBResponse]: + """ + Fetch a PDB entry by its ID. + + Args: + pdb_id: The PDB ID to fetch (e.g., '4HHB') + + Returns: + PDBResponse object with parsed data or None if not found + + Raises: + ValueError: If the PDB ID is invalid or not found + ConnectionError: If the connection to the PDB server fails + """ + # Ensure PDB ID is uppercase + pdb_id = pdb_id.upper() + + try: + # Fetch main entry data + entry_data = self._fetch_json(f"{self.BASE_URL}/entry/{pdb_id}") + + # Get polymer entity information + polymer_entities = {} + + # If we have polymer entity IDs, fetch their details + if entity_ids := entry_data.get("rcsb_entry_container_identifiers", {}).get( + "polymer_entity_ids" + ): + for entity_id in entity_ids: + entity_data = self._fetch_json( + f"{self.BASE_URL}/polymer_entity/{pdb_id}/{entity_id}" + ) + + # Extract entity information + polymer_entities[entity_id] = EntityInfo( + description=entity_data.get("struct", {}).get( + "pdbx_descriptor" + ), + polymer_type=entity_data.get("entity_poly", {}).get("type"), + ec_number=entity_data.get("rcsb_polymer_entity", {}).get( + "enzyme_class" + ), + sequence=entity_data.get("entity_poly", {}).get( + "pdbx_seq_one_letter_code" + ), + organism_scientific_name=entity_data.get( + "rcsb_polymer_entity_container_identifiers", {} + ).get("taxonomy_organism_scientific_name"), + organism_taxid=entity_data.get( + "rcsb_polymer_entity_container_identifiers", {} + ).get("taxonomy_id"), + ) + + # Get citation data + citation = [ + Citation.model_validate(c) for c in entry_data.get("citation", []) + ] + + # Construct the PDBResponse + return PDBResponse( + pdb_id=pdb_id, + citation=citation, + struct=StructInfo( + title=entry_data.get("struct", {}).get("title"), + experimental_method=entry_data.get("rcsb_entry_info", {}).get( + "experimental_method" + ), + resolution=entry_data.get("rcsb_entry_info", {}).get( + "resolution_combined", [None] + )[0], + ), + polymer_entities=polymer_entities, + rcsb_primary_citation=entry_data.get("rcsb_primary_citation"), + rcsb_entry_info=entry_data.get("rcsb_entry_info"), + ) + + except ValueError as e: + raise ValueError(f"Failed to retrieve PDB entry: {str(e)}") + except ConnectionError as e: + raise ValueError(f"Connection to PDB server failed: {str(e)}") + + def _fetch_json(self, url: str) -> dict: + """ + Helper method to fetch and parse JSON from a URL. + + Args: + url: The URL to fetch data from + + Returns: + Parsed JSON as a dictionary + + Raises: + ValueError: If the request fails or returns non-200 status + ConnectionError: If the connection to the server fails + """ + try: + response = requests.get(url) + response.raise_for_status() + + if response.status_code == 200: + return response.json() + else: + raise ValueError( + f"Request failed with status code {response.status_code}" + ) + + except requests.exceptions.RequestException as e: + raise ConnectionError(f"Connection failed: {str(e)}") + except ValueError as e: + raise ValueError(f"Failed to parse response: {str(e)}") + + +def fetch_pdb( + pdb_id: str, + protein_id: Optional[str] = None, + entity_id: str = "1", + vessel_id: Optional[str] = None, +) -> v2.Protein: + """ + Fetch a PDB entry by ID and convert it to a Protein object. + + Args: + pdb_id: The PDB ID to fetch (e.g., '4HHB') + protein_id: Optional custom ID for the protein (derived from PDB if not provided) + entity_id: The entity ID within the PDB structure (default is "1") + vessel_id: The ID of the vessel to add the protein to + + Returns: + A Protein object with data from PDB + + Raises: + ValueError: If the PDB ID is invalid or not found + ConnectionError: If the connection to the PDB server fails + """ + # Get PDB data + client = PDBClient() + pdb_response = client.get_entry_by_id(pdb_id) + + if not pdb_response: + raise ValueError(f"No data found for PDB ID {pdb_id}") + + # Get the entity data + if not pdb_response.polymer_entities: + raise ValueError("No polymer entries to fetch from.") + + entity_data = pdb_response.polymer_entities.get(entity_id) + + if not entity_data: + raise ValueError(f"Entity ID {entity_id} not found in PDB {pdb_id}") + + # Prepare data for Protein object + # Use entity description or structure title for name + name = entity_data.description or ( + pdb_response.struct.title + if pdb_response.struct and pdb_response.struct.title + else f"PDB {pdb_id}" + ) + + # Generate protein_id if not provided + if protein_id is None: + protein_id = ( + process_id(entity_data.description) + if entity_data.description + else f"{pdb_id.lower()}_{entity_id}" + ) + + # Create Protein instance + protein = v2.Protein( + id=protein_id, + name=name, + sequence=entity_data.sequence, + organism=entity_data.organism_scientific_name, + organism_tax_id=str(entity_data.organism_taxid) + if entity_data.organism_taxid + else None, + ecnumber=entity_data.ec_number, + constant=True, + vessel_id=vessel_id, + ) + + # Add metadata + protein.add_type_term(f"pdb:{pdb_id}", "pdb", "https://www.rcsb.org/structure/") + protein.ld_id = f"pdb:{pdb_id}" + + # Add references + protein.references.append(f"https://www.rcsb.org/structure/{pdb_id}") + + # Add citation if available + if pdb_response.citation and pdb_response.citation[0].doi: + protein.references.append(f"https://doi.org/{pdb_response.citation[0].doi}") + + if pdb_response.citation and pdb_response.citation[0].pubmed_id: + protein.references.append( + f"https://pubmed.ncbi.nlm.nih.gov/{pdb_response.citation[0].pubmed_id}" + ) + + return protein From af1e77182084371b0a4979cd0be79acf751637b8 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 14:13:49 +0200 Subject: [PATCH 116/172] generalize type hints --- pyenzyme/tools.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/pyenzyme/tools.py b/pyenzyme/tools.py index c7193b51..c9fbe89c 100644 --- a/pyenzyme/tools.py +++ b/pyenzyme/tools.py @@ -2,13 +2,13 @@ import importlib.resources as pkg_resources from enum import Enum import json - +from pydantic import BaseModel import toml import pyenzyme as pe -def to_dict_wo_json_ld(enzmldoc: pe.EnzymeMLDocument): +def to_dict_wo_json_ld(obj: BaseModel): """Serialized to dict and strips JSON-LD fields from an EnzymeMLDocument. Please note, this function is intended for internal use only and should not be called directly. @@ -23,7 +23,7 @@ def to_dict_wo_json_ld(enzmldoc: pe.EnzymeMLDocument): dict: The EnzymeMLDocument with JSON-LD fields removed. """ - doc = json.loads(enzmldoc.model_dump_json()) + doc = json.loads(obj.model_dump_json()) _recursive_key_removal(doc, "ld_id") _recursive_key_removal(doc, "ld_type") _recursive_key_removal(doc, "ld_context") From 8778a85be11ba42274195bbd487a2d081ca11afe Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 14:13:57 +0200 Subject: [PATCH 117/172] use `rich` print --- pyenzyme/versions/io.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/pyenzyme/versions/io.py b/pyenzyme/versions/io.py index e33b1bcd..ea1ddb38 100644 --- a/pyenzyme/versions/io.py +++ b/pyenzyme/versions/io.py @@ -5,6 +5,7 @@ import pandas as pd from pydantic import ValidationError +import rich from pyenzyme.sbml.serializer import to_sbml from pyenzyme.tabular import from_dataframe, read_csv, read_excel, to_pandas from pyenzyme.versions import v2 @@ -124,7 +125,9 @@ def write_enzymeml( with open(path, "w") as f: f.write(data) - print(f"\n EnzymeML document written to [green][bold]{path}[/bold][/green]\n") + rich.print( + f"\n EnzymeML document written to [green][bold]{path}[/bold][/green]\n" + ) @classmethod def to_sbml( From b61a43868232deb15654dc9ea0f6022f6b00534f Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 14:14:06 +0200 Subject: [PATCH 118/172] update tests for pdb fetcher --- tests/integration/test_fetcher.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/tests/integration/test_fetcher.py b/tests/integration/test_fetcher.py index 63bdb1fc..bbe1b76a 100644 --- a/tests/integration/test_fetcher.py +++ b/tests/integration/test_fetcher.py @@ -1,5 +1,6 @@ import pytest from pyenzyme.fetcher.chebi import fetch_chebi +from pyenzyme.fetcher.pdb import fetch_pdb from pyenzyme.fetcher.pubchem import fetch_pubchem from pyenzyme.fetcher.rhea import fetch_rhea from pyenzyme.fetcher.uniprot import fetch_uniprot @@ -116,3 +117,20 @@ def test_fetch_pubchem_to_small_molecule(self): def test_fetch_pubchem_to_small_molecule_invalid_id(self): with pytest.raises(ValueError): fetch_pubchem(cid=162176127617627) + + def test_fetch_pdb_to_protein(self): + protein = fetch_pdb("1a23") + assert protein is not None + assert protein.id == "1a23_1" + assert ( + protein.name + == "SOLUTION NMR STRUCTURE OF REDUCED DSBA FROM ESCHERICHIA COLI, MINIMIZED AVERAGE STRUCTURE" + ) + assert ( + protein.sequence + == "AQYEDGKQYTTLEKPVAGAPQVLEFFSFFCPHCYQFEEVLHISDNVKKKLPEGVKMTKYHVNFMGGDLGKDLTQAWAVAMALGVEDKVTVPLFEGVQKTQTIRSASDIRDVFINAGIKGEEYDAAWNSFVVKSLVAQQEKAAADVQLRGVPAMFVNGKYQLNPQGMDTSNMDVFVQQYADTVKYLSEKK" + ) + + def test_fetch_pdb_to_protein_invalid_id(self): + with pytest.raises(ValueError): + fetch_pdb("INVALID_ID") From 4069b90fa511e7e83de6092d7a6a760a886cb37b Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 14:24:16 +0200 Subject: [PATCH 119/172] allow prefixing of identifiers --- pyenzyme/fetcher/pdb.py | 5 ++++ pyenzyme/fetcher/pubchem.py | 10 +++++-- pyenzyme/fetcher/uniprot.py | 5 ++++ tests/integration/test_composer.py | 19 +++++++++++++ tests/integration/test_fetcher.py | 45 ++++++++++++++++++++++++++++-- 5 files changed, 79 insertions(+), 5 deletions(-) diff --git a/pyenzyme/fetcher/pdb.py b/pyenzyme/fetcher/pdb.py index 46ed5886..273126dd 100644 --- a/pyenzyme/fetcher/pdb.py +++ b/pyenzyme/fetcher/pdb.py @@ -194,6 +194,11 @@ def fetch_pdb( """ # Get PDB data client = PDBClient() + + # Allow prefixing with 'PDB:' + if pdb_id.lower().startswith("pdb:"): + pdb_id = pdb_id.split(":", 1)[-1] + pdb_response = client.get_entry_by_id(pdb_id) if not pdb_response: diff --git a/pyenzyme/fetcher/pubchem.py b/pyenzyme/fetcher/pubchem.py index 80de8d2a..6c27ecaa 100644 --- a/pyenzyme/fetcher/pubchem.py +++ b/pyenzyme/fetcher/pubchem.py @@ -145,7 +145,7 @@ def extract_by_preference( def fetch_pubchem( - cid: int, + cid: str, smallmol_id: Optional[str] = None, vessel_id: Optional[str] = None, ) -> v2.SmallMolecule: @@ -163,9 +163,13 @@ def fetch_pubchem( Raises: ValueError: If the PubChem API request fails or required data is missing """ - query = PubChemClient.from_cid(cid) + # Allow prefixing with 'CID:' + if cid.lower().startswith("pubchem:"): + cid = cid.split(":", 1)[-1] + + query = PubChemClient.from_cid(int(cid)) pc_compound = query.pc_compounds[0] - name = _extract_name(pc_compound, cid) + name = _extract_name(pc_compound, int(cid)) if not smallmol_id: smallmol_id = process_id(name) diff --git a/pyenzyme/fetcher/uniprot.py b/pyenzyme/fetcher/uniprot.py index 590108b9..a2f019a5 100644 --- a/pyenzyme/fetcher/uniprot.py +++ b/pyenzyme/fetcher/uniprot.py @@ -129,6 +129,11 @@ def fetch_uniprot( ConnectionError: If the connection to the UniProt server fails """ client = UniProtClient() + + # Allow prefixing with 'uniprot:' + if uniprot_id.lower().startswith("uniprot:"): + uniprot_id = uniprot_id.split(":", 1)[-1] + uniprot_entry = client.get_entry_by_id(uniprot_id) if not uniprot_entry: diff --git a/tests/integration/test_composer.py b/tests/integration/test_composer.py index 375a3830..08e26719 100644 --- a/tests/integration/test_composer.py +++ b/tests/integration/test_composer.py @@ -23,6 +23,25 @@ def test_compose(self): expected_doc = pe.read_enzymeml("tests/fixtures/compose/expected_compose.json") assert to_dict_wo_json_ld(doc) == to_dict_wo_json_ld(expected_doc) + def test_compose_with_prefix(self): + # Act + doc = pe.compose( + name="test", + vessel=pe.Vessel( + id="vessel", + name="vessel", + volume=1.0, + unit="ml", # type: ignore + ), + proteins=["pdb:1A23"], + small_molecules=["CHEBI:32551"], + reactions=["RHEA:22864"], + ) + + # Assert + expected_doc = pe.read_enzymeml("tests/fixtures/compose/expected_compose.json") + assert to_dict_wo_json_ld(doc) == to_dict_wo_json_ld(expected_doc) + def test_compose_no_vessel(self): # Act doc = pe.compose( diff --git a/tests/integration/test_fetcher.py b/tests/integration/test_fetcher.py index bbe1b76a..5bd615ec 100644 --- a/tests/integration/test_fetcher.py +++ b/tests/integration/test_fetcher.py @@ -57,6 +57,22 @@ def test_fetch_uniprot_to_protein(self): assert len(protein.references) == 1 assert protein.references[0] == "https://www.uniprot.org/uniprotkb/P07327" + def test_fetch_uniprot_to_protein_with_prefix(self): + protein = fetch_uniprot("uniprot:P07327") + assert protein is not None + + assert protein.id == "alcohol_dehydrogenase_1a" + assert protein.name == "Alcohol dehydrogenase 1A" + assert protein.constant is True + assert protein.ecnumber == "1.1.1.1" + assert protein.organism == "Homo sapiens" + assert protein.organism_tax_id == "9606" + + assert protein.ld_id == "uniprot:P07327" + assert "uniprot:P07327" in protein.ld_type + assert len(protein.references) == 1 + assert protein.references[0] == "https://www.uniprot.org/uniprotkb/P07327" + def test_fetch_uniprot_to_protein_with_id(self): protein = fetch_uniprot("P07327", protein_id="p1") assert protein is not None @@ -103,7 +119,19 @@ def test_fetch_rhea_to_reaction_invalid_id(self): fetch_rhea("INVALID_ID") def test_fetch_pubchem_to_small_molecule(self): - small_molecule = fetch_pubchem(cid=2244) + small_molecule = fetch_pubchem(cid="2244") + assert small_molecule is not None + assert small_molecule.id == "2_acetyloxybenzoic_acid" + assert small_molecule.name == "2-acetyloxybenzoic acid" + assert small_molecule.canonical_smiles == "CC(=O)OC1=CC=CC=C1C(=O)O" + assert small_molecule.inchikey == "BSYNRYMUTXBXSQ-UHFFFAOYSA-N" + assert ( + small_molecule.inchi + == "InChI=1S/C9H8O4/c1-6(10)13-8-5-3-2-4-7(8)9(11)12/h2-5H,1H3,(H,11,12)" + ) + + def test_fetch_pubchem_to_small_molecule_with_prefix(self): + small_molecule = fetch_pubchem(cid="pubchem:2244") assert small_molecule is not None assert small_molecule.id == "2_acetyloxybenzoic_acid" assert small_molecule.name == "2-acetyloxybenzoic acid" @@ -116,7 +144,7 @@ def test_fetch_pubchem_to_small_molecule(self): def test_fetch_pubchem_to_small_molecule_invalid_id(self): with pytest.raises(ValueError): - fetch_pubchem(cid=162176127617627) + fetch_pubchem(cid="162176127617627") def test_fetch_pdb_to_protein(self): protein = fetch_pdb("1a23") @@ -131,6 +159,19 @@ def test_fetch_pdb_to_protein(self): == "AQYEDGKQYTTLEKPVAGAPQVLEFFSFFCPHCYQFEEVLHISDNVKKKLPEGVKMTKYHVNFMGGDLGKDLTQAWAVAMALGVEDKVTVPLFEGVQKTQTIRSASDIRDVFINAGIKGEEYDAAWNSFVVKSLVAQQEKAAADVQLRGVPAMFVNGKYQLNPQGMDTSNMDVFVQQYADTVKYLSEKK" ) + def test_fetch_pdb_to_protein_with_prefix(self): + protein = fetch_pdb("pdb:1a23") + assert protein is not None + assert protein.id == "1a23_1" + assert ( + protein.name + == "SOLUTION NMR STRUCTURE OF REDUCED DSBA FROM ESCHERICHIA COLI, MINIMIZED AVERAGE STRUCTURE" + ) + assert ( + protein.sequence + == "AQYEDGKQYTTLEKPVAGAPQVLEFFSFFCPHCYQFEEVLHISDNVKKKLPEGVKMTKYHVNFMGGDLGKDLTQAWAVAMALGVEDKVTVPLFEGVQKTQTIRSASDIRDVFINAGIKGEEYDAAWNSFVVKSLVAQQEKAAADVQLRGVPAMFVNGKYQLNPQGMDTSNMDVFVQQYADTVKYLSEKK" + ) + def test_fetch_pdb_to_protein_invalid_id(self): with pytest.raises(ValueError): fetch_pdb("INVALID_ID") From 709e1306f6ef006ddf358fe9e3de5ca52d1b7581 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 14:24:24 +0200 Subject: [PATCH 120/172] add `compose` part --- README.md | 23 ++++++++++++++++++++++- 1 file changed, 22 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 54ced0ab..fdb87965 100644 --- a/README.md +++ b/README.md @@ -105,7 +105,28 @@ enzmldoc = pe.read_enzymeml("enzmldoc.json") sbml_doc = pe.to_sbml(enzmldoc, "enzmldoc.omex") ``` -(Code should run as it is) +(Code should run as it is) + +### Compose an EnzymeML document + +As an alternative to the manual creation of an EnzymeML document, you can use the `compose` function to create an EnzymeML document from a list of identifiers. This function will fetch the corresponding entities from the official databases and compose an EnzymeML document. Duplicate entities are removed to avoid redundancy. + +```python +import pyenzyme as pe + +doc = pe.compose( + name="test", + proteins=["PDB:1A23"], + small_molecules=["CHEBI:32551"], + reactions=["RHEA:22864"], +) + +pe.write_enzymeml(doc, "enzmldoc.json") +``` + +(Code should run as it is) + +Please note, that by providing [RHEA](https://www.ebi.ac.uk/rhea/) identifiers, the function will automatically fetch all associated [CheBI](https://www.ebi.ac.uk/chebi/) molecules that are part of the reaction. ## 📖 Documentation and more examples From ee941eb934240829d9c9d4efc4ad6efa475e85f4 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 14:26:26 +0200 Subject: [PATCH 121/172] update features --- README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index fdb87965..cb0368a7 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@

PyEnzyme
v1.1.5 - Build Badge Documentation Status + Build Badge

@@ -12,8 +12,7 @@ PyEnzyme is the interface to the data model EnzymeML and offers a conveni - Reproducible **documentation** of enzymatic and biocatalytic experiments. - **Import** from and **export** to the SBML-based markup language **EnzymeML** and more. -- Perform **database-specific validation** prior to database upload. -- Model your data using a **Thin Layer** to popular modeling platforms. +- **Fetch** entities from [CheBI](https://www.ebi.ac.uk/chebi/), [UniProt](https://www.uniprot.org/), [PubChem](https://www.ncbi.nlm.nih.gov/pubchem/), [RHEA](https://www.ebi.ac.uk/rhea/) and [PDB](https://www.rcsb.org/) databases. - **Visualize** experimental results for inspection and publication. ## ⚡️ Quick start From f4b4f71ee189776f0d991a9b467120388334270a Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 9 May 2025 16:43:56 +0200 Subject: [PATCH 122/172] add base thin layer class --- pyenzyme/thinlayers/base.py | 89 +++++++++++++++++++++++++++++ tests/integration/test_thinlayer.py | 43 ++++++++++++++ 2 files changed, 132 insertions(+) create mode 100644 pyenzyme/thinlayers/base.py create mode 100644 tests/integration/test_thinlayer.py diff --git a/pyenzyme/thinlayers/base.py b/pyenzyme/thinlayers/base.py new file mode 100644 index 00000000..e07560d8 --- /dev/null +++ b/pyenzyme/thinlayers/base.py @@ -0,0 +1,89 @@ +from functools import cached_property +from typing import Optional, List + +import pandas as pd +from pydantic import BaseModel, ConfigDict, computed_field, field_validator + +from pyenzyme.versions import v2 +from pyenzyme import to_pandas, to_sbml + + +class BaseThinLayer(BaseModel): + """ + Base class for thin layers that wrap EnzymeML documents. + + This class provides a foundation for creating specialized interfaces to EnzymeML documents, + with built-in conversion to SBML and pandas DataFrames. It allows filtering measurements + by their IDs. + + Attributes: + enzmldoc (v2.EnzymeMLDocument): The EnzymeML document to wrap. + measurement_ids (Optional[List[str]]): Optional list of measurement IDs to filter by. + If None, all measurements are included. + """ + + model_config = ConfigDict(arbitrary_types_allowed=True) + + enzmldoc: v2.EnzymeMLDocument + measurement_ids: Optional[List[str]] = None + + @field_validator("enzmldoc") + @classmethod + def check_measurement_ids(cls, enzmldoc: v2.EnzymeMLDocument): + """ + Validates that the EnzymeML document contains at least one measurement. + + Args: + enzmldoc (v2.EnzymeMLDocument): The EnzymeML document to validate. + + Returns: + v2.EnzymeMLDocument: The validated EnzymeML document. + + Raises: + ValueError: If the EnzymeML document has no measurements. + """ + if len(enzmldoc.measurements) == 0: + raise ValueError("EnzymeMLDocument has no measurements") + + return enzmldoc + + @computed_field(return_type=str) + @cached_property + def sbml_xml(self) -> str: + """ + Converts the EnzymeML document to SBML XML format. + + Returns: + str: The SBML XML representation of the EnzymeML document. + """ + return to_sbml(self.enzmldoc)[0] + + @computed_field(return_type=dict[str, pd.DataFrame]) + @cached_property + def data(self) -> dict[str, pd.DataFrame]: + """ + Converts the EnzymeML document to pandas DataFrames, organized by measurement ID. + + If measurement_ids is specified, only those measurements are included in the result. + + Returns: + dict[str, pd.DataFrame]: A dictionary mapping measurement IDs to their corresponding + pandas DataFrames containing time series data. + + Raises: + ValueError: If the conversion doesn't return a dictionary or if specified + measurement IDs are not found in the document. + """ + df_map = to_pandas(self.enzmldoc, per_measurement=True) + + if not isinstance(df_map, dict): + raise ValueError("Expected a dictionary of dataframes") + + if self.measurement_ids is None: + return df_map + + missing_ids = set(self.measurement_ids) - set(df_map.keys()) + if missing_ids: + raise ValueError(f"Measurement ids {missing_ids} not found in data") + + return {k: v for k, v in df_map.items() if k in self.measurement_ids} diff --git a/tests/integration/test_thinlayer.py b/tests/integration/test_thinlayer.py new file mode 100644 index 00000000..4928bdfc --- /dev/null +++ b/tests/integration/test_thinlayer.py @@ -0,0 +1,43 @@ +import pytest +import pyenzyme as pe +from pyenzyme.thinlayers.base import BaseThinLayer + + +class TestThinLayer: + def test_base_thinlayer(self): + # Arrange + doc = pe.read_enzymeml("tests/fixtures/modeling/enzmldoc.json") + + # Act + thinlayer = BaseThinLayer(enzmldoc=doc) + + # Assert + expected_sbml, _ = pe.to_sbml(doc) + expected_data = pe.to_pandas(doc, per_measurement=True) + + assert thinlayer.enzmldoc == doc + assert thinlayer.sbml_xml == expected_sbml + assert len(thinlayer.data) == len(expected_data) + + def test_base_thinlayer_with_measurement_ids(self): + # Arrange + doc = pe.read_enzymeml("tests/fixtures/modeling/enzmldoc.json") + + # Act + thinlayer = BaseThinLayer(enzmldoc=doc, measurement_ids=["measurement0"]) + + # Assert + expected_sbml, _ = pe.to_sbml(doc) + + assert thinlayer.enzmldoc == doc + assert thinlayer.sbml_xml == expected_sbml + assert len(thinlayer.data) == 1 + + def test_base_thinlayer_with_measurement_ids_not_in_doc(self): + # Arrange + doc = pe.read_enzymeml("tests/fixtures/modeling/enzmldoc.json") + + # Act + with pytest.raises(ValueError): + base = BaseThinLayer(enzmldoc=doc, measurement_ids=["measnotexisting"]) + base.data From 64858c73ed79e05b956ee83b64cd058498933557 Mon Sep 17 00:00:00 2001 From: haeussma <83341109+haeussma@users.noreply.github.com> Date: Mon, 12 May 2025 10:06:18 +0200 Subject: [PATCH 123/172] update pymetadata dependency to version 0.5.3 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index e67ad73d..3f906f15 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -16,7 +16,7 @@ pydantic-xml = "^2.12.1" loguru = "^0.7.2" rdflib = "7.0.0" sympy = "^1.12.1" -pymetadata = "^0.4.4" +pymetadata = "^0.5.3" httpx = ">=0.27" mdmodels = "^0.2.0" From 9cbed5ea4b62acab72a136b2c155e9a60ecc4f49 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Sun, 18 May 2025 22:36:20 +0200 Subject: [PATCH 124/172] upper case id by default --- pyenzyme/fetcher/pdb.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/pyenzyme/fetcher/pdb.py b/pyenzyme/fetcher/pdb.py index 273126dd..9c31d8b4 100644 --- a/pyenzyme/fetcher/pdb.py +++ b/pyenzyme/fetcher/pdb.py @@ -244,11 +244,13 @@ def fetch_pdb( ) # Add metadata - protein.add_type_term(f"pdb:{pdb_id}", "pdb", "https://www.rcsb.org/structure/") - protein.ld_id = f"pdb:{pdb_id}" + protein.add_type_term( + f"pdb:{pdb_id.upper()}", "pdb", "https://www.rcsb.org/structure/" + ) + protein.ld_id = f"pdb:{pdb_id.upper()}" # Add references - protein.references.append(f"https://www.rcsb.org/structure/{pdb_id}") + protein.references.append(f"https://www.rcsb.org/structure/{pdb_id.upper()}") # Add citation if available if pdb_response.citation and pdb_response.citation[0].doi: From 8125c5cb5b0440e0c9d36fbde6626a08c9f2f6c2 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Sun, 18 May 2025 22:38:57 +0200 Subject: [PATCH 125/172] test lowercase pdb id case --- tests/integration/test_composer.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/integration/test_composer.py b/tests/integration/test_composer.py index 08e26719..c7b2e630 100644 --- a/tests/integration/test_composer.py +++ b/tests/integration/test_composer.py @@ -14,7 +14,7 @@ def test_compose(self): volume=1.0, unit="ml", # type: ignore ), - proteins=["1A23"], + proteins=["PDB:1a23"], small_molecules=["CHEBI:32551"], reactions=["RHEA:22864"], ) @@ -33,7 +33,7 @@ def test_compose_with_prefix(self): volume=1.0, unit="ml", # type: ignore ), - proteins=["pdb:1A23"], + proteins=["pdb:1a23"], small_molecules=["CHEBI:32551"], reactions=["RHEA:22864"], ) From cecdd819128ef6161fc31a8e249e6aa51ea05abd Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Sun, 18 May 2025 22:39:34 +0200 Subject: [PATCH 126/172] add `description` fields --- pyenzyme/versions/v2.py | 542 ++++++++++++++++++++++++++++++++-------- 1 file changed, 438 insertions(+), 104 deletions(-) diff --git a/pyenzyme/versions/v2.py b/pyenzyme/versions/v2.py index c341edc6..2ed3f0d1 100644 --- a/pyenzyme/versions/v2.py +++ b/pyenzyme/versions/v2.py @@ -108,21 +108,83 @@ class EnzymeMLDocument(BaseModel): validate_assignment=True, ) # type: ignore - name: str - version: str = "2" - description: Optional[Optional[str]] = Field(default=None) - created: Optional[Optional[str]] = Field(default=None) - modified: Optional[Optional[str]] = Field(default=None) - creators: list[Creator] = Field(default_factory=list) - vessels: list[Vessel] = Field(default_factory=list) - proteins: list[Protein] = Field(default_factory=list) - complexes: list[Complex] = Field(default_factory=list) - small_molecules: list[SmallMolecule] = Field(default_factory=list) - reactions: list[Reaction] = Field(default_factory=list) - measurements: list[Measurement] = Field(default_factory=list) - equations: list[Equation] = Field(default_factory=list) - parameters: list[Parameter] = Field(default_factory=list) - references: list[str] = Field(default_factory=list) + name: str = Field( + default=..., + description="""Title of the EnzymeML Document.""", + ) + version: str = Field( + default="2", + description="""The version of the EnzymeML Document.""", + ) + description: Optional[Optional[str]] = Field( + default=None, + description="""Description of the EnzymeML Document.""", + ) + created: Optional[Optional[str]] = Field( + default=None, + description="""Date the EnzymeML Document was created.""", + ) + modified: Optional[Optional[str]] = Field( + default=None, + description="""Date the EnzymeML Document was modified.""", + ) + creators: list[Creator] = Field( + default_factory=list, + description="""Contains descriptions of all authors that are part + of the experiment.""", + ) + vessels: list[Vessel] = Field( + default_factory=list, + description="""Contains descriptions of all vessels that are part + of the experiment.""", + ) + proteins: list[Protein] = Field( + default_factory=list, + description="""Contains descriptions of all proteins that + are part of the experiment that may be + referenced in reactions, measurements, + and equations.""", + ) + complexes: list[Complex] = Field( + default_factory=list, + description="""Contains descriptions of all complexes that + are part of the experiment that may be + referenced in reactions, measurements, + and equations.""", + ) + small_molecules: list[SmallMolecule] = Field( + default_factory=list, + description="""Contains descriptions of all reactants that + are part of the experiment that may be + referenced in reactions, measurements, + and equations.""", + ) + reactions: list[Reaction] = Field( + default_factory=list, + description="""Contains descriptions of all reactions that are + part of the experiment.""", + ) + measurements: list[Measurement] = Field( + default_factory=list, + description="""Contains descriptions of all measurements that are + part of the experiment.""", + ) + equations: list[Equation] = Field( + default_factory=list, + description="""Contains descriptions of all equations that are + part of the experiment.""", + ) + parameters: list[Parameter] = Field( + default_factory=list, + description="""Contains descriptions of all parameters that are + part of the experiment and may be used + in equations.""", + ) + references: list[str] = Field( + default_factory=list, + description="""Contains references to publications, databases, + and arbitrary links to the web.""", + ) # JSON-LD fields ld_id: str = Field( @@ -139,8 +201,8 @@ class EnzymeMLDocument(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "name": "schema:title", "created": "schema:dateCreated", "modified": "schema:dateModified", @@ -571,9 +633,18 @@ class Creator(BaseModel): validate_assignment=True, ) # type: ignore - given_name: str - family_name: str - mail: str + given_name: str = Field( + default=..., + description="""Given name of the author or contributor.""", + ) + family_name: str = Field( + default=..., + description="""Family name of the author or contributor.""", + ) + mail: str = Field( + default=..., + description="""Email address of the author or contributor.""", + ) # JSON-LD fields ld_id: str = Field( @@ -588,8 +659,8 @@ class Creator(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "given_name": "schema:givenName", "family_name": "schema:familyName", "mail": "schema:email", @@ -667,11 +738,27 @@ class Vessel(BaseModel): validate_assignment=True, ) # type: ignore - id: str - name: str - volume: float - unit: UnitDefinitionAnnot - constant: bool = True + id: str = Field( + default=..., + description="""Unique identifier of the vessel.""", + ) + name: str = Field( + default=..., + description="""Name of the used vessel.""", + ) + volume: float = Field( + default=..., + description="""Volumetric value of the vessel.""", + ) + unit: UnitDefinitionAnnot = Field( + default=..., + description="""Volumetric unit of the vessel.""", + ) + constant: bool = Field( + default=True, + description="""Whether the volume of the vessel is constant or + not. Default is True.""", + ) # JSON-LD fields ld_id: str = Field( @@ -686,8 +773,8 @@ class Vessel(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -768,15 +855,48 @@ class Protein(BaseModel): validate_assignment=True, ) # type: ignore - id: str - name: str - constant: bool = True - sequence: Optional[Optional[str]] = Field(default=None) - vessel_id: Optional[Optional[str]] = Field(default=None) - ecnumber: Optional[Optional[str]] = Field(default=None) - organism: Optional[Optional[str]] = Field(default=None) - organism_tax_id: Optional[Optional[str]] = Field(default=None) - references: list[str] = Field(default_factory=list) + id: str = Field( + default=..., + description="""Identifier of the protein, such as a UniProt ID, + or a custom identifier.""", + ) + name: str = Field( + default=..., + description="""Name of the protein.""", + ) + constant: bool = Field( + default=True, + description="""Whether the concentration of the protein is + constant through the experiment or not. + Default is True.""", + ) + sequence: Optional[Optional[str]] = Field( + default=None, + description="""Amino acid sequence of the protein""", + ) + vessel_id: Optional[Optional[str]] = Field( + default=None, + description="""Identifier of the vessel this protein has been + applied to.""", + ) + ecnumber: Optional[Optional[str]] = Field( + default=None, + description="""EC number of the protein.""", + ) + organism: Optional[Optional[str]] = Field( + default=None, + description="""Expression host organism of the protein.""", + ) + organism_tax_id: Optional[Optional[str]] = Field( + default=None, + description="""Taxonomy identifier of the expression host.""", + ) + references: list[str] = Field( + default_factory=list, + description="""List of references to publications, database + entries, etc. that describe or reference + the protein.""", + ) # JSON-LD fields ld_id: str = Field( @@ -791,8 +911,8 @@ class Protein(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -885,11 +1005,29 @@ class Complex(BaseModel): validate_assignment=True, ) # type: ignore - id: str - name: str - constant: bool = False - vessel_id: Optional[Optional[str]] = Field(default=None) - participants: list[str] = Field(default_factory=list) + id: str = Field( + default=..., + description="""Unique identifier of the complex.""", + ) + name: str = Field( + default=..., + description="""Name of the complex.""", + ) + constant: bool = Field( + default=False, + description="""Whether the concentration of the complex is + constant through the experiment or not. + Default is False.""", + ) + vessel_id: Optional[Optional[str]] = Field( + default=None, + description="""Unique identifier of the vessel this complex has + been used in.""", + ) + participants: list[str] = Field( + default_factory=list, + description="""Array of IDs the complex contains""", + ) # JSON-LD fields ld_id: str = Field( @@ -906,8 +1044,8 @@ class Complex(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -994,15 +1132,53 @@ class SmallMolecule(BaseModel): validate_assignment=True, ) # type: ignore - id: str - name: str - constant: bool = False - vessel_id: Optional[Optional[str]] = Field(default=None) - canonical_smiles: Optional[Optional[str]] = Field(default=None) - inchi: Optional[Optional[str]] = Field(default=None) - inchikey: Optional[Optional[str]] = Field(default=None) - synonymous_names: list[str] = Field(default_factory=list) - references: list[str] = Field(default_factory=list) + id: str = Field( + default=..., + description="""Identifier of the small molecule, such as + a Pubchem ID, ChEBI ID, or a custom + identifier.""", + ) + name: str = Field( + default=..., + description="""Name of the small molecule.""", + ) + constant: bool = Field( + default=False, + description="""Whether the concentration of the small molecule + is constant through the experiment or not. + Default is False.""", + ) + vessel_id: Optional[Optional[str]] = Field( + default=None, + description="""Identifier of the vessel this small molecule has + been used in.""", + ) + canonical_smiles: Optional[Optional[str]] = Field( + default=None, + description="""Canonical Simplified Molecular-Input Line-Entry + System (SMILES) encoding of the small + molecule.""", + ) + inchi: Optional[Optional[str]] = Field( + default=None, + description="""International Chemical Identifier (InChI) encoding + of the small molecule.""", + ) + inchikey: Optional[Optional[str]] = Field( + default=None, + description="""Hashed International Chemical Identifier + (InChIKey) encoding of the small molecule.""", + ) + synonymous_names: list[str] = Field( + default_factory=list, + description="""List of synonymous names for the small molecule.""", + ) + references: list[str] = Field( + default_factory=list, + description="""List of references to publications, database + entries, etc. that describe or reference + the small molecule.""", + ) # JSON-LD fields ld_id: str = Field( @@ -1019,8 +1195,8 @@ class SmallMolecule(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1108,13 +1284,36 @@ class Reaction(BaseModel): validate_assignment=True, ) # type: ignore - id: str - name: str - reversible: bool = False - kinetic_law: Optional[Optional[Equation]] = Field(default=None) - reactants: list[ReactionElement] = Field(default_factory=list) - products: list[ReactionElement] = Field(default_factory=list) - modifiers: list[ModifierElement] = Field(default_factory=list) + id: str = Field( + default=..., + description="""Unique identifier of the reaction.""", + ) + name: str = Field( + default=..., + description="""Name of the reaction.""", + ) + reversible: bool = Field( + default=False, + description="""Whether the reaction is reversible or + irreversible. Default is False.""", + ) + kinetic_law: Optional[Optional[Equation]] = Field( + default=None, + description="""Mathematical expression of the reaction.""", + ) + reactants: list[ReactionElement] = Field( + default_factory=list, + description="""List of reactants that are part of the reaction.""", + ) + products: list[ReactionElement] = Field( + default_factory=list, + description="""List of products that are part of the reaction.""", + ) + modifiers: list[ModifierElement] = Field( + default_factory=list, + description="""List of reaction elements that are not part of the + reaction but influence it.""", + ) # JSON-LD fields ld_id: str = Field( @@ -1131,8 +1330,8 @@ class Reaction(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1292,8 +1491,16 @@ class ReactionElement(BaseModel): validate_assignment=True, ) # type: ignore - species_id: str - stoichiometry: float = 1 + species_id: str = Field( + default=..., + description="""Internal identifier to either a protein or + reactant defined in the EnzymeML Document.""", + ) + stoichiometry: float = Field( + default=1, + description="""Float number representing the associated + stoichiometry.""", + ) # JSON-LD fields ld_id: str = Field( @@ -1310,8 +1517,8 @@ class ReactionElement(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@id": "schema:identifier", "@type": "@id", @@ -1390,8 +1597,15 @@ class ModifierElement(BaseModel): validate_assignment=True, ) # type: ignore - species_id: str - role: ModifierRole + species_id: str = Field( + default=..., + description="""Internal identifier to either a protein or + reactant defined in the EnzymeML Document.""", + ) + role: ModifierRole = Field( + default=..., + description="""Role of the modifier in the reaction.""", + ) # JSON-LD fields ld_id: str = Field( @@ -1408,8 +1622,8 @@ class ModifierElement(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@id": "schema:identifier", "@type": "@id", @@ -1488,10 +1702,26 @@ class Equation(BaseModel): validate_assignment=True, ) # type: ignore - species_id: str - equation: str - equation_type: EquationType - variables: list[Variable] = Field(default_factory=list) + species_id: str = Field( + default=..., + description="""Identifier of a defined species (SmallMolecule, + Protein, Complex). Represents the left + hand side of the equation.""", + ) + equation: str = Field( + default=..., + description="""Mathematical expression of the equation. + Represents the right hand side of the + equation.""", + ) + equation_type: EquationType = Field( + default=..., + description="""Type of the equation.""", + ) + variables: list[Variable] = Field( + default_factory=list, + description="""List of variables that are part of the equation""", + ) # JSON-LD fields ld_id: str = Field( @@ -1508,8 +1738,8 @@ class Equation(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@id": "schema:identifier", "@type": "@id", @@ -1616,9 +1846,18 @@ class Variable(BaseModel): validate_assignment=True, ) # type: ignore - id: str - name: str - symbol: str + id: str = Field( + default=..., + description="""Identifier of the variable.""", + ) + name: str = Field( + default=..., + description="""Name of the variable.""", + ) + symbol: str = Field( + default=..., + description="""Equation symbol of the variable.""", + ) # JSON-LD fields ld_id: str = Field( @@ -1635,8 +1874,8 @@ class Variable(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1715,16 +1954,50 @@ class Parameter(BaseModel): validate_assignment=True, ) # type: ignore - id: str - name: str - symbol: str - value: Optional[Optional[float]] = Field(default=None) - unit: Optional[Optional[UnitDefinitionAnnot]] = Field(default=None) - initial_value: Optional[Optional[float]] = Field(default=None) - upper_bound: Optional[Optional[float]] = Field(default=None) - lower_bound: Optional[Optional[float]] = Field(default=None) - stderr: Optional[Optional[float]] = Field(default=None) - constant: Optional[bool] = True + id: str = Field( + default=..., + description="""Identifier of the parameter.""", + ) + name: str = Field( + default=..., + description="""Name of the parameter.""", + ) + symbol: str = Field( + default=..., + description="""Equation symbol of the parameter.""", + ) + value: Optional[Optional[float]] = Field( + default=None, + description="""Numerical value of the estimated parameter.""", + ) + unit: Optional[Optional[UnitDefinitionAnnot]] = Field( + default=None, + description="""Unit of the estimated parameter.""", + ) + initial_value: Optional[Optional[float]] = Field( + default=None, + description="""Initial value that was used for the parameter + estimation.""", + ) + upper_bound: Optional[Optional[float]] = Field( + default=None, + description="""Upper bound for the parameter value that was used + for the parameter estimation""", + ) + lower_bound: Optional[Optional[float]] = Field( + default=None, + description="""Lower bound for the parameter value that was used + for the parameter estimation""", + ) + stderr: Optional[Optional[float]] = Field( + default=None, + description="""Standard error of the estimated parameter.""", + ) + constant: Optional[bool] = Field( + default=True, + description="""Specifies if this parameter is constant. Default + is True.""", + ) # JSON-LD fields ld_id: str = Field( @@ -1741,8 +2014,8 @@ class Parameter(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1821,13 +2094,37 @@ class Measurement(BaseModel): validate_assignment=True, ) # type: ignore - id: str - name: str - species_data: list[MeasurementData] = Field(default_factory=list) - group_id: Optional[Optional[str]] = Field(default=None) - ph: Optional[Optional[float]] = Field(default=None) - temperature: Optional[Optional[float]] = Field(default=None) - temperature_unit: Optional[Optional[UnitDefinitionAnnot]] = Field(default=None) + id: str = Field( + default=..., + description="""Unique identifier of the measurement.""", + ) + name: str = Field( + default=..., + description="""Name of the measurement""", + ) + species_data: list[MeasurementData] = Field( + default_factory=list, + description="""Measurement data of all species that were part + of the measurement. A species refers to a + Protein, Complex, or SmallMolecule.""", + ) + group_id: Optional[Optional[str]] = Field( + default=None, + description="""User-defined group ID to signal relationships + between measurements.""", + ) + ph: Optional[Optional[float]] = Field( + default=None, + description="""pH value of the measurement.""", + ) + temperature: Optional[Optional[float]] = Field( + default=None, + description="""Temperature of the measurement.""", + ) + temperature_unit: Optional[Optional[UnitDefinitionAnnot]] = Field( + default=None, + description="""Unit of the temperature of the measurement.""", + ) # JSON-LD fields ld_id: str = Field( @@ -1844,8 +2141,8 @@ class Measurement(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "id": { "@id": "schema:identifier", "@type": "@id", @@ -1971,15 +2268,52 @@ class MeasurementData(BaseModel): validate_assignment=True, ) # type: ignore - species_id: str - prepared: Optional[Optional[float]] = Field(default=None) - initial: Optional[Optional[float]] = Field(default=None) - data_unit: Optional[Optional[UnitDefinitionAnnot]] = Field(default=None) - data: list[float] = Field(default_factory=list) - time: list[float] = Field(default_factory=list) - time_unit: Optional[Optional[UnitDefinitionAnnot]] = Field(default=None) - data_type: Optional[Optional[DataTypes]] = Field(default=None) - is_simulated: Optional[bool] = False + species_id: str = Field( + default=..., + description="""The identifier for the described reactant.""", + ) + prepared: Optional[Optional[float]] = Field( + default=None, + description="""Amount of the the species before starting the + measurement. This field can be used + for specifying the prepared amount + of a species in the reaction mix. Not + to be confused with , specifying the + concentration of a species at the first + data point from the array.""", + ) + initial: Optional[Optional[float]] = Field( + default=None, + description="""Initial amount of the measurement data. This must + be the same as the first data point in + the array.""", + ) + data_unit: Optional[Optional[UnitDefinitionAnnot]] = Field( + default=None, + description="""SI unit of the data that was measured.""", + ) + data: list[float] = Field( + default_factory=list, + description="""Data that was measured.""", + ) + time: list[float] = Field( + default_factory=list, + description="""Corresponding time points of the .""", + ) + time_unit: Optional[Optional[UnitDefinitionAnnot]] = Field( + default=None, + description="""Unit of the time points of the .""", + ) + data_type: Optional[Optional[DataTypes]] = Field( + default=None, + description="""Type of data that was measured (e.g. + concentration, absorbance, etc.)""", + ) + is_simulated: Optional[bool] = Field( + default=False, + description="""Whether or not the data has been generated by + simulation. Default is False.""", + ) # JSON-LD fields ld_id: str = Field( @@ -1996,8 +2330,8 @@ class MeasurementData(BaseModel): serialization_alias="@context", default_factory=lambda: { "enzml": "http://www.enzymeml.org/v2/", - "OBO": "http://purl.obolibrary.org/obo/", "schema": "https://schema.org/", + "OBO": "http://purl.obolibrary.org/obo/", "species_id": { "@type": "@id", }, From 6d2712d8cf90979b7370cd3a0c7136b7da3d003f Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:18:50 +0200 Subject: [PATCH 127/172] add `is_mapper` --- pyenzyme/composer.py | 51 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 51 insertions(+) diff --git a/pyenzyme/composer.py b/pyenzyme/composer.py index 6ac0ee05..a623b6a2 100644 --- a/pyenzyme/composer.py +++ b/pyenzyme/composer.py @@ -1,3 +1,4 @@ +import re from typing import List, Optional, Tuple, Callable, Any from rich.console import Console @@ -32,6 +33,7 @@ def compose( small_molecules: Optional[list[str]] = None, reactions: Optional[list[str]] = None, vessel: Optional[v2.Vessel] = None, + id_mapping: Optional[dict[str, str]] = None, ) -> v2.EnzymeMLDocument: """ Compose an EnzymeML document from proteins, small molecules, and reactions. @@ -46,6 +48,7 @@ def compose( Returns: A complete EnzymeML document with fetched entities """ + proteins = proteins or [] small_molecules = small_molecules or [] reactions = reactions or [] @@ -94,6 +97,23 @@ def compose( protein_objects.sort(key=lambda x: x.id) reaction_objects.sort(key=lambda x: x.id) + if id_mapping: + small_molecule_objects = _apply_id_mapping( + small_molecule_objects, + id_mapping, + r"CHEBI|PUBCHEM", + ) + protein_objects = _apply_id_mapping( + protein_objects, + id_mapping, + r"UNIPROT|PDB", + ) + reaction_objects = _apply_id_mapping( + reaction_objects, + id_mapping, + r"RHEA", + ) + # Set vessel IDs if vessel is provided vessels = [] if vessel: @@ -212,3 +232,34 @@ def _remove_duplicates(objects: List[Any]) -> List[Any]: unique_objects.append(obj) return unique_objects + + +def _apply_id_mapping( + objects: List[Any], + id_mapping: dict[str, str], + prefix: str, +) -> List[Any]: + """ + Apply ID mapping to objects based on the provided mapping. + + Args: + objects: List of objects to apply ID mapping to + id_mapping: Dictionary mapping old IDs to new IDs + prefix: Regex pattern to match ID prefixes + + Returns: + List of objects with updated IDs + """ + for obj in objects: + key = next( + ( + k + for k in id_mapping + if re.sub(prefix + ":", "", k) in obj.ld_id.replace("_", ":") + ), + None, + ) + if key: + obj.id = id_mapping[key] + + return objects From db39b8b2a210a8a21d460d065bfab5f5c37916c7 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:29:21 +0200 Subject: [PATCH 128/172] add plotting method --- pyenzyme/__init__.py | 2 + pyenzyme/plotting/__init__.py | 3 + pyenzyme/plotting/static.py | 358 ++++++++++++++++++++++++++++++++++ 3 files changed, 363 insertions(+) create mode 100644 pyenzyme/plotting/__init__.py create mode 100644 pyenzyme/plotting/static.py diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index 9d854481..737ff595 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -7,6 +7,7 @@ from .fetcher import * # noqa: F403 from .composer import compose from .suite import EnzymeMLSuite +from .plotting import plot # Input functions from_csv = EnzymeMLHandler.from_csv @@ -34,4 +35,5 @@ "to_sbml", "write_enzymeml", "compose", + "plot", ] diff --git a/pyenzyme/plotting/__init__.py b/pyenzyme/plotting/__init__.py new file mode 100644 index 00000000..da96451c --- /dev/null +++ b/pyenzyme/plotting/__init__.py @@ -0,0 +1,3 @@ +from .static import plot + +__all__ = ["plot"] diff --git a/pyenzyme/plotting/static.py b/pyenzyme/plotting/static.py new file mode 100644 index 00000000..2699a769 --- /dev/null +++ b/pyenzyme/plotting/static.py @@ -0,0 +1,358 @@ +import math +from typing import List, Optional, Tuple, Union + +import numpy as np +from matplotlib import pyplot as plt +from matplotlib.figure import Figure +from matplotlib.axes import Axes + +from pyenzyme.thinlayers.base import BaseThinLayer, SimResult, Time +from pyenzyme.versions import v2 + +# Default figure dimensions +DEFAULT_WIDTH = 6 +DEFAULT_HEIGHT = 3 + + +def plot( + enzmldoc: v2.EnzymeMLDocument, + columns: int = 2, + measurement_ids: Optional[list[str]] = None, + marker_size: int = 6, + marker_style: str = "o", + thinlayer: Optional[BaseThinLayer] = None, + out: Optional[str] = None, + img_format: str = "png", + dpi: int = 300, + **kwargs, +) -> Tuple[Figure, Union[Axes, List[Axes]]]: + """ + Creates publication-quality plots of measurement data from an EnzymeML document. + + This function generates plots for experimental measurements and optionally includes + model fits provided by a thinlayer. Each measurement is displayed in a separate + subplot, with species data and their corresponding model fits if available. + + Parameters + ---------- + enzmldoc : v2.EnzymeMLDocument + The EnzymeML document containing measurement data to plot. + columns : int, optional + Number of columns in the plot grid, by default 2. + measurement_ids : Optional[list[str]], optional + List of specific measurement IDs to plot. If None, all measurements are plotted. + marker_size : int, optional + Size of markers for experimental data points, by default 6. + marker_style : str, optional + Style of markers for experimental data points, by default "o". + thinlayer : Optional[BaseThinLayer], optional + A thinlayer object providing model fits for the data. If provided, + fitting curves will be displayed alongside experimental data. + **kwargs + Additional keyword arguments passed to matplotlib plotting functions. + + Returns + ------- + tuple + Figure and axes objects from matplotlib. + + Examples + -------- + Basic usage with all measurements: + + >>> import pyenzyme as pe + >>> doc = pe.read_enzymeml("path/to/enzmldoc.json") + >>> fig, axes = pe.plot(enzmldoc=doc) + >>> fig.savefig("output.png", dpi=300) + + Using a thinlayer for model fitting: + + >>> import pyenzyme as pe + >>> import pyenzyme.thinlayers as tls + >>> doc = pe.read_enzymeml("path/to/enzmldoc.json") + >>> tl = tls.ThinLayerPysces(doc) + >>> tl.optimize() + >>> fig, _ = pe.plot( + ... enzmldoc=doc, + ... thinlayer=tl, + ... measurement_ids=["measurement0", "measurement1"], + ... ) + >>> fig.savefig("with_fits.png", dpi=300) + """ + # Filter measurements based on provided IDs + if measurement_ids is None: + measurements = enzmldoc.measurements + else: + measurements = [m for m in enzmldoc.measurements if m.id in measurement_ids] + + # Configure subplot layout + n_measurements = len(measurements) + rows = math.ceil(n_measurements / columns) + + # Single measurement case: use single column + if n_measurements == 1: + columns = 1 + + # Create figure and axes + fig, axs = plt.subplots( + nrows=rows, + ncols=columns, + figsize=(DEFAULT_WIDTH * columns, DEFAULT_HEIGHT * rows), + ) + + # Ensure axs is always a flat list for consistent handling + if isinstance(axs, np.ndarray): + axs = axs.flatten() + else: + axs = [axs] + + # Plot each measurement + for ax, measurement in zip(axs, measurements): + _plot_measurement( + ax, enzmldoc, measurement, thinlayer, marker_size, marker_style, **kwargs + ) + + # Hide unused axes + for idx in range(len(measurements), len(axs)): + axs[idx].set_visible(False) + + # Adjust layout with minimal space for legends + plt.tight_layout(rect=(0, 0, 0.98, 1)) + + if out: + fig.savefig(out, dpi=dpi, format=img_format) + + return fig, axs # type: ignore + + +def _plot_measurement( + ax: Axes, + enzmldoc: v2.EnzymeMLDocument, + measurement: v2.Measurement, + thinlayer: Optional[BaseThinLayer], + marker_size: int, + marker_style: str, + **kwargs, +) -> None: + """ + Plot a single measurement on the given axes. + + Parameters + ---------- + ax : Axes + The matplotlib axes to plot on. + enzmldoc : v2.EnzymeMLDocument + The EnzymeML document containing the data. + measurement : v2.Measurement + The specific measurement to plot. + thinlayer : Optional[BaseThinLayer] + A thinlayer object providing model predictions, if available. + marker_size : int + Size of markers for experimental data points. + marker_style : str + Style of markers for experimental data points. + **kwargs + Additional keyword arguments passed to matplotlib plotting functions. + """ + # Sort species data by ID for consistent order + species_data = sorted( + [s for s in measurement.species_data], key=lambda x: x.species_id + ) + + # Get data types for y-axis label + dataytypes = _collect_dataytypes(species_data) + + # Get model predictions if available + if thinlayer: + pred, time = _get_fit(enzmldoc, measurement, thinlayer) + else: + pred, time = {}, [] + + # Plot each species + for species in species_data: + _plot_species( + ax, + species, + pred, + time, + marker_size, + marker_style, + **kwargs, + ) + + # Configure plot appearance + _configure_plot(ax, measurement, dataytypes) + + +def _plot_species( + ax: Axes, + species: v2.MeasurementData, + pred: SimResult, + time: List[float], + marker_size: int, + marker_style: str, + **kwargs, +) -> None: + """ + Plot experimental data and model fit for a single species. + + Parameters + ---------- + ax : Axes + The matplotlib axes to plot on. + species : v2.MeasurementData + The measurement data for a specific species. + pred : Dict[str, List[float]] + Model predictions, if available. + time : List[float] + Time points for model predictions. + marker_size : int + Size of markers for experimental data points. + marker_style : str + Style of markers for experimental data points. + **kwargs + Additional keyword arguments passed to matplotlib plotting functions. + """ + # Plot experimental data if available + if len(species.data) > 0: + line = ax.plot( + species.time, + species.data, + marker_style, + markersize=marker_size, + label=species.species_id, + **kwargs, + ) + line_color = line[0].get_color() + + # Add model fit if available for this species + if species.species_id in pred: + ax.plot( + time, + pred[species.species_id], + "--", + color=line_color, + label=f"{species.species_id} Fit", + **kwargs, + ) + # If no experimental data but model fit is available + elif species.species_id in pred: + ax.plot( + time, + pred[species.species_id], + "--", + label=f"{species.species_id} Fit", + **kwargs, + ) + + +def _configure_plot( + ax: Axes, measurement: v2.Measurement, dataytypes: List[str] +) -> None: + """ + Configure plot appearance with titles, labels, and styling. + + Parameters + ---------- + ax : Axes + The matplotlib axes to configure. + measurement : v2.Measurement + The measurement being plotted. + dataytypes : List[str] + List of data types for the y-axis label. + """ + # Add legend outside the plot at the top right + ax.legend( + loc="upper left", + bbox_to_anchor=(1.01, 1), + frameon=True, + framealpha=0.9, + fancybox=True, + shadow=True, + fontsize="small", + labelspacing=0.5, # Make entries more compact vertically + ) + + # Set title and axis labels + ax.set_title(measurement.name, fontweight="bold") + ax.set_xlabel("Time") + ax.set_ylabel(", ".join(dataytypes)) + + # Configure grid and spines + ax.grid(True, linestyle="--", alpha=0.3) + ax.spines["top"].set_visible(False) + ax.spines["right"].set_visible(False) + + +def _get_fit( + enzmldoc: v2.EnzymeMLDocument, + measurement: v2.Measurement, + thinlayer: BaseThinLayer, +) -> Tuple[SimResult, Time]: + """ + Get model predictions for a measurement using a thinlayer. + + Parameters + ---------- + enzmldoc : v2.EnzymeMLDocument + The EnzymeML document containing the data. + measurement : v2.Measurement + The measurement to generate predictions for. + thinlayer : BaseThinLayer + The thinlayer object providing integration capabilities. + + Returns + ------- + Tuple[Dict[str, List[float]], List[float]] + A tuple containing predictions for each species and the time points. + + Raises + ------ + ValueError + If time data is missing for all species in the measurement. + """ + # Get the initial conditions from the measurement + initial_conditions = { + s.species_id: s.initial for s in measurement.species_data if s.initial + } + + # Get the time points from the measurement + time = next((s.time for s in measurement.species_data if s.time), None) + + if time is None: + raise ValueError("Time is not set for any species in the measurement") + + t0, t1 = min(time), max(time) + + # Use thinlayer to integrate the model + return thinlayer.integrate( + model=enzmldoc, + initial_conditions=initial_conditions, + t0=t0, + t1=t1, + ) + + +def _collect_dataytypes(measurement_data: List[v2.MeasurementData]) -> List[str]: + """ + Extract and format unique measurement data types. + + Parameters + ---------- + measurement_data : List[v2.MeasurementData] + List of measurement data objects. + + Returns + ------- + List[str] + Unique, capitalized data types from measurements. + """ + return list( + set( + [ + s.data_type.value.capitalize() + for s in measurement_data + if s.data_type is not None + ] + ) + ) From c84ca72d1b4ef42545e769db9aa4a4a407bf3d0c Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:30:59 +0200 Subject: [PATCH 129/172] import layers, if possible --- pyenzyme/thinlayers/__init__.py | 8 ++++++++ 1 file changed, 8 insertions(+) create mode 100644 pyenzyme/thinlayers/__init__.py diff --git a/pyenzyme/thinlayers/__init__.py b/pyenzyme/thinlayers/__init__.py new file mode 100644 index 00000000..e3302901 --- /dev/null +++ b/pyenzyme/thinlayers/__init__.py @@ -0,0 +1,8 @@ +from .base import BaseThinLayer + +try: + from .psyces import ThinLayerPysces +except ImportError: + pass + +__all__ = ["BaseThinLayer", "ThinLayerPysces"] From 877d457aa5b6db1187d88ceccab501cb669e8a02 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:31:21 +0200 Subject: [PATCH 130/172] set element not constant --- pyenzyme/sbml/serializer.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index 81780248..521ddfb2 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -352,6 +352,7 @@ def _add_reaction_element( species_ref.setConstant(True) species_ref.setSpecies(element.species_id) species_ref.setStoichiometry(abs(element.stoichiometry)) + species_ref.setConstant(False) def _add_rate_law(equation: pe.Equation, reac: libsbml.Reaction): From 8469592e1aae00e1eef7dddf789e04abad4d5062 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:31:32 +0200 Subject: [PATCH 131/172] extend docs and add abstract methods --- pyenzyme/thinlayers/base.py | 163 ++++++++++++++++++++++++++++++++---- 1 file changed, 148 insertions(+), 15 deletions(-) diff --git a/pyenzyme/thinlayers/base.py b/pyenzyme/thinlayers/base.py index e07560d8..d832840f 100644 --- a/pyenzyme/thinlayers/base.py +++ b/pyenzyme/thinlayers/base.py @@ -1,14 +1,20 @@ +from abc import ABC, abstractmethod from functools import cached_property -from typing import Optional, List +from typing import Dict, List, Optional, Tuple, TypeAlias import pandas as pd -from pydantic import BaseModel, ConfigDict, computed_field, field_validator +import pyenzyme as pe from pyenzyme.versions import v2 -from pyenzyme import to_pandas, to_sbml +# Type aliases for usage across the thinlayers +# Easier to read and understand than using type hints +InitCondDict: TypeAlias = Dict[str, float] +SimResult: TypeAlias = Dict[str, List[float]] +Time: TypeAlias = List[float] -class BaseThinLayer(BaseModel): + +class BaseThinLayer(ABC): """ Base class for thin layers that wrap EnzymeML documents. @@ -22,14 +28,104 @@ class BaseThinLayer(BaseModel): If None, all measurements are included. """ - model_config = ConfigDict(arbitrary_types_allowed=True) - enzmldoc: v2.EnzymeMLDocument - measurement_ids: Optional[List[str]] = None + measurement_ids: List[str] + + def __init__( + self, + enzmldoc: v2.EnzymeMLDocument, + measurement_ids: Optional[List[str]] = None, + df_per_measurement: bool = False, + ): + assert isinstance(enzmldoc, v2.EnzymeMLDocument) + assert isinstance(measurement_ids, list) or measurement_ids is None + + if measurement_ids is None: + measurement_ids = [meas.id for meas in enzmldoc.measurements] + + self.enzmldoc = enzmldoc + self.fitted_doc = enzmldoc.model_copy(deep=True) + self.measurement_ids = measurement_ids + self.df_per_measurement = df_per_measurement + + @abstractmethod + def integrate( + self, + model: v2.EnzymeMLDocument, + initial_conditions: InitCondDict, + t0: float, + t1: float, + nsteps: int = 100, + ) -> Tuple[SimResult, Time]: + """ + Integrates the model from t0 to t1 with the given initial conditions. + + Args: + model (v2.EnzymeMLDocument): EnzymeML document containing the model. + initial_conditions (InitCondDict): Dictionary mapping species IDs to initial concentrations. + t0 (float): Start time for integration. + t1 (float): End time for integration. + nsteps (int, optional): Number of time points to generate. Defaults to 100. + + Returns: + Tuple[SimResult, Time]: A tuple containing: + - Dict mapping species IDs to concentration trajectories. + - List of time points. + + Examples: + >>> # Simulate model with initial conditions + >>> species_data, time_points = thinlayer.integrate( + ... model=doc, + ... initial_conditions={"S1": 10.0, "S2": 0.0}, + ... t0=0.0, + ... t1=100.0, + ... nsteps=200 + ... ) + """ + pass + + @abstractmethod + def optimize(self, **kwargs): + """ + Optimizes the model parameters. + + This method should implement parameter optimization for the model, + typically fitting to experimental data contained in the EnzymeML document. + + Args: + **kwargs: Implementation-specific keyword arguments. + + Returns: + Implementation-specific optimization results. + + Examples: + >>> # Optimize model parameters + >>> result = thinlayer.optimize(**kwargs) + >>> print(f"Optimization success: {result.success}") + """ + pass + + @abstractmethod + def write(self) -> v2.EnzymeMLDocument: + """ + Writes the optimized model parameters to a copy of the EnzymeMLDocument. + + This method creates a new EnzymeML document with updated parameter values + based on optimization results. - @field_validator("enzmldoc") - @classmethod - def check_measurement_ids(cls, enzmldoc: v2.EnzymeMLDocument): + Returns: + v2.EnzymeMLDocument: A new EnzymeML document with optimized parameters. + + Examples: + >>> # Get optimized document after parameter fitting + >>> thinlayer.optimize() + >>> optimized_doc = thinlayer.write() + >>> pe.write_enzymeml(optimized_doc, "optimized_model.json") + """ + pass + + @staticmethod + def _check_measurement_ids(enzmldoc: v2.EnzymeMLDocument): """ Validates that the EnzymeML document contains at least one measurement. @@ -41,13 +137,16 @@ def check_measurement_ids(cls, enzmldoc: v2.EnzymeMLDocument): Raises: ValueError: If the EnzymeML document has no measurements. + + Examples: + >>> # Validate document has measurements + >>> validated_doc = BaseThinLayer.check_measurement_ids(doc) """ if len(enzmldoc.measurements) == 0: raise ValueError("EnzymeMLDocument has no measurements") return enzmldoc - @computed_field(return_type=str) @cached_property def sbml_xml(self) -> str: """ @@ -55,12 +154,45 @@ def sbml_xml(self) -> str: Returns: str: The SBML XML representation of the EnzymeML document. + + Examples: + >>> # Export model as SBML + >>> sbml_string = thinlayer.sbml_xml + >>> with open("model.xml", "w") as f: + ... f.write(sbml_string) + """ + return pe.to_sbml(self.enzmldoc)[0] + + @cached_property + def df(self) -> pd.DataFrame: + """ + Converts the EnzymeML document to a pandas DataFrame. + + If measurement_ids is specified, only those measurements are included in the result. + + Returns: + pd.DataFrame: A DataFrame containing time series data for all measurements + or only the specified measurements. + + Raises: + ValueError: If the conversion doesn't return a DataFrame. """ - return to_sbml(self.enzmldoc)[0] + df = pe.to_pandas(self.enzmldoc, per_measurement=False) + + # Drop all this rows where "id" is within measurement_ids + df = ( + df + if self.measurement_ids is None + else df[df["id"].isin(self.measurement_ids)] # type: ignore + ) + + if not isinstance(df, pd.DataFrame): + raise ValueError("Expected a single dataframe") + + return df - @computed_field(return_type=dict[str, pd.DataFrame]) @cached_property - def data(self) -> dict[str, pd.DataFrame]: + def df_map(self) -> dict[str, pd.DataFrame]: """ Converts the EnzymeML document to pandas DataFrames, organized by measurement ID. @@ -74,7 +206,8 @@ def data(self) -> dict[str, pd.DataFrame]: ValueError: If the conversion doesn't return a dictionary or if specified measurement IDs are not found in the document. """ - df_map = to_pandas(self.enzmldoc, per_measurement=True) + + df_map = pe.to_pandas(self.enzmldoc, per_measurement=True) if not isinstance(df_map, dict): raise ValueError("Expected a dictionary of dataframes") From ff511c28cf2eb720748489a946302b4f7f5456df Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:32:06 +0200 Subject: [PATCH 132/172] add `pysces` thin layer --- pyenzyme/thinlayers/psyces.py | 504 +++++++++++++++++++++++++++++++ tests/integration/test_psyces.py | 67 ++++ 2 files changed, 571 insertions(+) create mode 100644 pyenzyme/thinlayers/psyces.py create mode 100644 tests/integration/test_psyces.py diff --git a/pyenzyme/thinlayers/psyces.py b/pyenzyme/thinlayers/psyces.py new file mode 100644 index 00000000..a80eec8f --- /dev/null +++ b/pyenzyme/thinlayers/psyces.py @@ -0,0 +1,504 @@ +# File: pysces.py +# Project: ThinLayers +# Authors: Johann Rohwer (j.m.rohwer@gmail.com), Jan Range (jan.range@simtech.uni-stuttgart.de) +# License: BSD-2 clause +# Copyright (c) 2025 Stellenbosch University, University of Stuttgart + +from __future__ import annotations + +from copy import deepcopy +from dataclasses import dataclass +from pathlib import Path +from joblib import Parallel, delayed +import numpy as np +import pandas as pd +import os + +from typing import Dict, List, Optional, Tuple + +from pyenzyme.thinlayers.base import BaseThinLayer, SimResult, Time, InitCondDict +from pyenzyme.versions import v2 + +try: + import pysces + import lmfit +except ModuleNotFoundError as e: + raise ModuleNotFoundError( + "ThinLayerPysces is not available. " + "To use it, please install the following dependencies: " + f"{e}" + ) + + +class ThinLayerPysces(BaseThinLayer): + """ + PySCeS implementation of the BaseThinLayer for kinetic modeling. + + This class provides integration with the Python Simulator for Cellular Systems (PySCeS) + for simulating and optimizing kinetic models from EnzymeML documents. + + Attributes: + model (pysces.model): The PySCeS model instance. + model_dir (Path | str): Directory for storing model files. + inits (list[InitMap]): Initial conditions for each measurement. + cols (list[str]): Column names for the experimental data. + parameters (lmfit.Parameters): Optimizable parameters for the model. + """ + + model: pysces.model + model_dir: Path | str + inits: list[InitMap] + cols: list[str] + parameters: lmfit.Parameters + nu_enzmldoc: v2.EnzymeMLDocument + + def __init__( + self, + enzmldoc: v2.EnzymeMLDocument, + model_dir: Path | str = "./pysces_models", + measurement_ids: Optional[List[str]] = None, + ): + """ + Initialize the ThinLayerPysces instance. + + Args: + enzmldoc (v2.EnzymeMLDocument): EnzymeML document containing the model. + model_dir (Path | str): Directory where PySCeS model files will be stored. + measurement_ids (Optional[List[str]]): IDs of measurements to include in the analysis. + If None, all measurements will be used. + + Examples: + >>> import pyenzyme as pe + >>> import pyenzyme.thinlayers as tls + >>> doc = pe.read_enzymeml("path/to/enzmldoc.json") + >>> tl = tls.ThinLayerPysces(doc) + """ + super().__init__( + enzmldoc=enzmldoc, + measurement_ids=measurement_ids, + df_per_measurement=False, + ) + + if not isinstance(model_dir, Path): + model_dir = Path(model_dir) + + if not model_dir.exists(): + # Create model directory if it doesn't exist + os.makedirs(model_dir, exist_ok=True) + + # Convert model to PSC + self._get_pysces_model(model_dir) + + def integrate( + self, + model: v2.EnzymeMLDocument, + initial_conditions: InitCondDict, + t0: float, + t1: float, + nsteps: int = 100, + ) -> Tuple[SimResult, Time]: + """ + Integrates the model from t0 to t1 with the given initial conditions. + + This method simulates the model dynamics within the specified time range + and returns trajectories for all species. + + Args: + model (v2.EnzymeMLDocument): EnzymeML document containing the model. + initial_conditions (InitCondDict): Dictionary mapping species IDs to initial concentrations. + t0 (float): Start time for integration. + t1 (float): End time for integration. + nsteps (int, optional): Number of time points to generate. Defaults to 100. + + Returns: + Tuple[SimResult, Time]: A tuple containing: + - Dict mapping species IDs to concentration trajectories. + - List of time points. + + Raises: + ValueError: If the provided model is different from the one used for initialization. + + Examples: + >>> # Get initial conditions from a measurement + >>> initial_conditions = { + ... s.species_id: s.initial for s in measurement.species_data + ... if s.initial is not None + ... } + >>> # Simulate from time 0 to 10 + >>> results, time = tl.integrate(doc, initial_conditions, 0, 10) + """ + if model != self.enzmldoc: + raise ValueError( + "Model must be the same as the one used to initialize the ThinLayerPysces. Otherwise, rerun the Thin Layer optimization with the new model." + ) + + # Convert the initial conditions to a InitMap + time = np.linspace(t0, t1, nsteps).tolist() + init_map = InitMap( + time=time, + species=initial_conditions, + ) + + out, species_order = self._simulate_condition(init_map) + + return ( + {species: traj.tolist() for species, traj in zip(species_order, out)}, + time, + ) + + def optimize(self, method="leastsq"): + """ + Optimizes model parameters to fit experimental data. + + This method performs parameter estimation to minimize the difference + between simulated and experimental data. + + Args: + method (str, optional): Optimization algorithm to use from lmfit. Defaults to "leastsq". + Available methods include: + - leastsq: Levenberg-Marquardt (default) + - least_squares: Least-Squares minimization, using Trust Region Reflective method + - differential_evolution: differential evolution + - brute: brute force method + - basinhopping: basinhopping + - ampgo: Adaptive Memory Programming for Global Optimization + - nelder: Nelder-Mead + - lbfgsb: L-BFGS-B + - powell: Powell + - cg: Conjugate-Gradient + - newton: Newton-CG + - cobyla: Cobyla + - bfgs: BFGS + - tnc: Truncated Newton + - trust-ncg: Newton-CG trust-region + - trust-exact: nearly exact trust-region + - trust-krylov: Newton GLTR trust-region + - trust-constr: trust-region for constrained optimization + - dogleg: Dog-leg trust-region + - slsqp: Sequential Linear Squares Programming + - emcee: Maximum likelihood via Monte-Carlo Markov Chain + - shgo: Simplicial Homology Global Optimization + - dual_annealing: Dual Annealing optimization + + Returns: + lmfit.MinimizerResult: Result of the optimization. + + Examples: + >>> # Optimize model parameters + >>> tl = ThinLayerPysces(doc, ".") + >>> result = tl.optimize() + >>> print(f"Optimization success: {result.success}") + """ + # Get experimental data from the EnzymeML document + self._get_experimental_data() + + # Initialize the model parameters + parameters = self._initialize_parameters() + + # Perform optimization + self.minimizer = lmfit.Minimizer(self._calculate_residual, parameters) + + self.parameters = parameters + + return self.minimizer.minimize(method=method) + + def write(self) -> v2.EnzymeMLDocument: + """ + Creates a new EnzymeML document with optimized parameter values. + + This method updates parameter values in a copy of the original EnzymeML document + based on optimization results. + + Returns: + v2.EnzymeMLDocument: A new EnzymeML document with optimized parameters. + + Raises: + ValueError: If a parameter in the optimization results is not found in the document. + + Examples: + >>> # Optimize and save optimized document + >>> tl = ThinLayerPysces(doc) + >>> tl.optimize() + >>> optimized_doc = tl.write() + >>> pe.write_enzymeml(optimized_doc, "optimized_model.json") + """ + nu_enzmldoc = self.enzmldoc.model_copy(deep=True) + results = self.minimizer.result.params.valuesdict() # type: ignore + + for name, value in results.items(): + parameter = next( + (p for p in nu_enzmldoc.parameters if p.symbol == name), None + ) + if parameter is None: + raise ValueError(f"Parameter {name} not found") + + parameter.value = value + + return nu_enzmldoc + + # ! Helper methods + def _initialize_parameters(self): + """ + Initializes lmfit Parameters instance with model parameters. + + Returns: + lmfit.Parameters: Parameters object ready for optimization. + + Raises: + ValueError: If a parameter has neither an initial value nor a value attribute. + """ + # Initialize lmfit parameters + parameters = lmfit.Parameters() + + # Add global parameters + for param in self.enzmldoc.parameters: + # Build kwargs dictionary with conditional assignments + kwargs = { + **({"min": param.lower_bound} if param.lower_bound is not None else {}), + **({"max": param.upper_bound} if param.upper_bound is not None else {}), + } + + # Determine parameter value + if param.value: + kwargs["value"] = param.value + elif param.initial_value: + kwargs["value"] = param.initial_value + else: + raise ValueError( + f"Neither initial_value nor value given for parameter {param.name} in global parameters" + ) + + parameters.add(param.symbol, **kwargs) + + return parameters + + def _get_experimental_data(self): + """ + Extracts measurement data from the EnzymeML document. + + Populates the inits, experimental_data, and cols attributes. + """ + self.inits = [ + InitMap.from_measurement(measurement, self.df_map[measurement.id]) + for measurement in self.enzmldoc.measurements + if measurement.id in self.measurement_ids + ] + + self.experimental_data = self.df.drop(columns=["id", "time"]) + self.cols = list(self.experimental_data.columns) + + def _get_pysces_model(self, model_dir: Path | str): + """ + Converts an EnzymeML document to a PySCeS model. + + Args: + model_dir (Path | str): Directory for storing model files. + """ + model_dir = self._prepare_model_directory(model_dir) + sbmlfile_name = self._create_sbml_file(model_dir) + + self._convert_to_pysces_format(sbmlfile_name, model_dir) + self._load_pysces_model(sbmlfile_name, model_dir) + self._fix_compartment_sizes() + + def _prepare_model_directory(self, model_dir: Path | str) -> str: + """ + Ensures the model directory exists and returns it as a string. + + Args: + model_dir (Path | str): Directory path for model files. + + Returns: + str: Path to the model directory as a string. + """ + model_dir = str(model_dir) + os.makedirs(model_dir, exist_ok=True) + + return model_dir + + def _create_sbml_file(self, model_dir: str) -> str: + """ + Creates an SBML file from the EnzymeML document. + + Args: + model_dir (str): Directory to save the SBML file. + + Returns: + str: Name of the created SBML file. + """ + sbmlfile_name = f"{self.enzmldoc.name.replace(' ', '_')}.xml" + sbmlfile_path = os.path.join(model_dir, sbmlfile_name) + + with open(sbmlfile_path, "w") as file: + file.write(self.sbml_xml) + + return sbmlfile_name + + def _convert_to_pysces_format(self, sbmlfile_name: str, model_dir: str): + """ + Converts SBML to PySCeS format if needed. + + Args: + sbmlfile_name (str): Name of the SBML file. + model_dir (str): Directory containing the file. + """ + sbmlfile_path = os.path.join(model_dir, sbmlfile_name) + pscfile_path = f"{sbmlfile_path}.psc" + sbml_file_modified = os.path.getmtime(sbmlfile_path) + + # Check if PSC file needs to be regenerated + psc_needs_update = ( + not os.path.exists(pscfile_path) + or os.path.getmtime(pscfile_path) <= sbml_file_modified + ) + + if psc_needs_update: + pysces.interface.convertSBML2PSC( + sbmlfile_name, sbmldir=model_dir, pscdir=model_dir + ) + + def _load_pysces_model(self, sbmlfile_name: str, model_dir: str): + """ + Loads the PySCeS model. + + Args: + sbmlfile_name (str): Name of the SBML/PSC file. + model_dir (str): Directory containing the file. + """ + self.model = pysces.model(sbmlfile_name, dir=model_dir) + + def _fix_compartment_sizes(self): + """ + Fixes compartment sizes to work around a PySCeS issue (#79). + + Sets compartment sizes to 1.0 when working with concentrations. + See: https://github.com/PySCeS/pysces/issues/79 + """ + if ( + self.model.__KeyWords__["Species_In_Conc"] + and self.model.__KeyWords__["Output_In_Conc"] + ): + for comp in self.model.__compartments__: + self.model.__compartments__[comp]["size"] = 1.0 + setattr(self.model, comp, 1.0) + setattr(self.model, f"{comp}_init", 1.0) + + def _calculate_residual(self, parameters) -> np.ndarray: + """ + Calculates residuals between experimental and simulated data. + + Args: + parameters: The parameter values to use for simulation. + + Returns: + np.ndarray: Array of residuals. + """ + simulated_data = self._simulate_experiment(parameters) + simulated_data = simulated_data.drop( + simulated_data.columns.difference(self.cols), axis=1 + ) + + return np.array(self.experimental_data - simulated_data) + + def _simulate_experiment(self, parameters): + """ + Simulates the entire experiment with all measurements. + + Args: + parameters: Parameter values for the simulation. + + Returns: + pd.DataFrame: DataFrame with simulation results. + """ + self.model.SetQuiet() + self.model.__dict__.update(parameters.valuesdict()) + + # Now iterate over all initial concentrations and simulate in parallel + output = Parallel(n_jobs=-1)( + delayed(lambda x: self._simulate_condition(x)[0])(init_conc) + for init_conc in self.inits + ) + + return pd.DataFrame(np.hstack(output).T, columns=self.model.species) # type: ignore + + def _simulate_condition( + self, init_concs: InitMap + ) -> Tuple[List[np.ndarray], List[str]]: + """ + Simulates a single experimental condition. + + Args: + init_concs (InitMap): Initial concentrations for the simulation. + + Returns: + Tuple[List[np.ndarray], List[str]]: + - List of arrays containing trajectory data for each species + - List of species IDs + """ + model = init_concs.to_pysces_model(self.model) + model.Simulate(userinit=1) + return ( + [getattr(model.sim, species) for species in model.species], + [str(species) for species in model.species], + ) + + +@dataclass +class InitMap: + """ + Helper class for managing species initial concentrations. + + This class provides type-safe handling of initial concentrations and + time points for PySCeS model simulations. + + Attributes: + time (List[float]): List of time points for simulation. + species (Dict[str, float]): Dictionary mapping species IDs to initial concentrations. + """ + + time: List[float] + species: Dict[str, float] + + @classmethod + def from_measurement(cls, meas: v2.Measurement, df: pd.DataFrame) -> "InitMap": + """ + Create an InitMap instance from a measurement and its dataframe. + + Args: + meas (v2.Measurement): The measurement containing species data. + df (pd.DataFrame): DataFrame with time data for the measurement. + + Returns: + InitMap: Initialized instance with time points and species initial values. + """ + return cls( + time=df["time"].tolist(), + species={ + s.species_id: s.initial + for s in meas.species_data + if s.initial is not None + }, + ) + + def to_pysces_model(self, model: pysces.model): + """ + Apply initial conditions to a PySCeS model. + + This method sets the simulation time and initial species concentrations + in the PySCeS model, ensuring zero values are replaced with small positive values. + + Args: + model (pysces.model): The PySCeS model to update. + + Returns: + pysces.model: The updated model with initial conditions set. + """ + model = deepcopy(model) + model.sim_time = np.array(self.time) + model.__dict__.update( + { + f"{species_id}_init": value if value != 0 else 1.0e-9 + for species_id, value in self.species.items() + } + ) + return model diff --git a/tests/integration/test_psyces.py b/tests/integration/test_psyces.py new file mode 100644 index 00000000..9849aaac --- /dev/null +++ b/tests/integration/test_psyces.py @@ -0,0 +1,67 @@ +import tempfile +import pyenzyme as pe +from pyenzyme.thinlayers import ThinLayerPysces +from pyenzyme.versions import v2 + + +class TestPsycesThinLayer: + def test_optimize(self): + doc = pe.read_enzymeml("tests/fixtures/modeling/enzmldoc_reaction.json") + + with tempfile.TemporaryDirectory() as tmp_dir: + layer = ThinLayerPysces(doc, tmp_dir) + layer.optimize() + + opt_doc = layer.write() + + k_cat = self._extract_parameter(opt_doc, "k_cat") + k_ie = self._extract_parameter(opt_doc, "k_ie") + K_M = self._extract_parameter(opt_doc, "K_M") + + # Check if values are positive using a small epsilon + expected_km = 82.0 + expected_kcat = 0.85 + expected_kie = 0.0012 + + assert k_cat.value is not None, "k_cat is not set" + assert k_ie.value is not None, "k_ie is not set" + assert K_M.value is not None, "K_M is not set" + + assert expected_kcat * 0.95 < k_cat.value < expected_kcat * 1.1, ( + f"k_cat is not correct, got {k_cat.value}" + ) + assert expected_kie * 0.75 < k_ie.value < expected_kie * 1.1, ( + f"k_ie is not correct, got {k_ie.value}" + ) + assert expected_km * 0.95 < K_M.value < expected_km * 1.1, ( + f"K_M is not correct, got {K_M.value}" + ) + + def test_plot(self): + doc = pe.read_enzymeml("tests/fixtures/modeling/enzmldoc_reaction.json") + + with tempfile.TemporaryDirectory() as tmp_dir: + layer = ThinLayerPysces(doc, tmp_dir) + layer.optimize() + + fig, axs = pe.plot( + layer.enzmldoc, + thinlayer=layer, + measurement_ids=[ + "measurement0", + "measurement1", + "measurement2", + "measurement3", + ], + ) + + # Raw image + + assert fig is not None, "Figure is not created" + assert axs is not None, "Axes are not created" + + @staticmethod + def _extract_parameter(doc: v2.EnzymeMLDocument, symbol: str) -> v2.Parameter: + param = next(p for p in doc.parameters if p.symbol == symbol) + assert param is not None, f"{symbol} is not set" + return param From f83788dd34c1507a23b1857d82289e962d7c9800 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:32:14 +0200 Subject: [PATCH 133/172] adjust available packages --- README.md | 17 +---------------- 1 file changed, 1 insertion(+), 16 deletions(-) diff --git a/README.md b/README.md index cb0368a7..2bb0b931 100644 --- a/README.md +++ b/README.md @@ -37,24 +37,9 @@ python3 setup.py install PyEnzyme comes with many flavors, choose whether you want only the base installation, the modeling package or all of it using the following options. -``` -# COPASI - modeling -python -m pip install "pyenzyme[copasi]" - +```bash # PySCeS - modeling python -m pip install "pyenzyme[pysces]" - -# Modeling package -python -m pip install "pyenzyme[modeling]" - -# REST API -python -m pip install "pyenzyme[rest]" - -# Dataverse -python -m pip install "pyenzyme[dataverse]" - -# Complete -python -m pip install "pyenzyme[all]" ``` ## ⚙️ Example code From 923448828c9878a034ca3b289347525eda34a975 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:32:29 +0200 Subject: [PATCH 134/172] remove unused --- tests/integration/test_thinlayer.py | 43 ----------------------------- 1 file changed, 43 deletions(-) delete mode 100644 tests/integration/test_thinlayer.py diff --git a/tests/integration/test_thinlayer.py b/tests/integration/test_thinlayer.py deleted file mode 100644 index 4928bdfc..00000000 --- a/tests/integration/test_thinlayer.py +++ /dev/null @@ -1,43 +0,0 @@ -import pytest -import pyenzyme as pe -from pyenzyme.thinlayers.base import BaseThinLayer - - -class TestThinLayer: - def test_base_thinlayer(self): - # Arrange - doc = pe.read_enzymeml("tests/fixtures/modeling/enzmldoc.json") - - # Act - thinlayer = BaseThinLayer(enzmldoc=doc) - - # Assert - expected_sbml, _ = pe.to_sbml(doc) - expected_data = pe.to_pandas(doc, per_measurement=True) - - assert thinlayer.enzmldoc == doc - assert thinlayer.sbml_xml == expected_sbml - assert len(thinlayer.data) == len(expected_data) - - def test_base_thinlayer_with_measurement_ids(self): - # Arrange - doc = pe.read_enzymeml("tests/fixtures/modeling/enzmldoc.json") - - # Act - thinlayer = BaseThinLayer(enzmldoc=doc, measurement_ids=["measurement0"]) - - # Assert - expected_sbml, _ = pe.to_sbml(doc) - - assert thinlayer.enzmldoc == doc - assert thinlayer.sbml_xml == expected_sbml - assert len(thinlayer.data) == 1 - - def test_base_thinlayer_with_measurement_ids_not_in_doc(self): - # Arrange - doc = pe.read_enzymeml("tests/fixtures/modeling/enzmldoc.json") - - # Act - with pytest.raises(ValueError): - base = BaseThinLayer(enzmldoc=doc, measurement_ids=["measnotexisting"]) - base.data From 6b6873d8205d958035aaa69b77cb97d2ad36e49c Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:32:36 +0200 Subject: [PATCH 135/172] add pysces dep --- .github/workflows/unit-tests.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/unit-tests.yaml b/.github/workflows/unit-tests.yaml index 06860022..7671daaf 100644 --- a/.github/workflows/unit-tests.yaml +++ b/.github/workflows/unit-tests.yaml @@ -20,7 +20,7 @@ jobs: - name: Install dependencies run: | python3 -m pip install --upgrade pip - python3 -m pip install pytest-cov openpyxl pytest-httpx + python3 -m pip install pytest-cov openpyxl pytest-httpx pysces pip3 install -e . - name: Test with pytest From a5fcfa394bbcd37c7c70d35b89603654775130e8 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:32:44 +0200 Subject: [PATCH 136/172] update deps --- pyproject.toml | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 3f906f15..5dd74b19 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,16 +12,17 @@ python-libsbml = "^5.20.2" toml = "^0.10.2" rich = "^13.7.1" pandas = ">=2.0.0" -pydantic-xml = "^2.12.1" +pydantic-xml = "^2.17.0" loguru = "^0.7.2" rdflib = "7.0.0" sympy = "^1.12.1" pymetadata = "^0.5.3" httpx = ">=0.27" -mdmodels = "^0.2.0" +mdmodels = "^0.2.1" +joblib = "^1.5.0" -[tool.poetry.group.neo4j.dependencies] -neo4j = "^5.21.0" +[tool.poetry.group.psyces.dependencies] +pysces = "^1.2.3" [tool.poetry.group.excel.dependencies] openpyxl = "^3.1.4" From 660a16b19a34a693e82351df31c3e7a4814fa054 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:36:58 +0200 Subject: [PATCH 137/172] add compliance check --- pyenzyme/thinlayers/psyces.py | 24 ++++++++++++++++++++++++ tests/integration/test_psyces.py | 9 +++++++++ 2 files changed, 33 insertions(+) diff --git a/pyenzyme/thinlayers/psyces.py b/pyenzyme/thinlayers/psyces.py index a80eec8f..8a180663 100644 --- a/pyenzyme/thinlayers/psyces.py +++ b/pyenzyme/thinlayers/psyces.py @@ -73,6 +73,11 @@ def __init__( >>> doc = pe.read_enzymeml("path/to/enzmldoc.json") >>> tl = tls.ThinLayerPysces(doc) """ + + # Currently, the ThinLayerPysces only supports the reaction model + # TODO: Add support for Rate Rules + self._check_compliance(enzmldoc) + super().__init__( enzmldoc=enzmldoc, measurement_ids=measurement_ids, @@ -89,6 +94,25 @@ def __init__( # Convert model to PSC self._get_pysces_model(model_dir) + def _check_compliance(self, enzmldoc: v2.EnzymeMLDocument): + """ + Check if the EnzymeML document is compliant with the PySCeS model. + """ + has_kinetic_laws = any(m.kinetic_law is not None for m in enzmldoc.reactions) + + has_odes = any( + m.equation_type == v2.EquationType.ODE for m in enzmldoc.equations + ) + + if not has_kinetic_laws: + raise ValueError("EnzymeML document must contain kinetic laws") + + if has_odes: + raise ValueError( + "The PySCeS thinlayer only supports Kinetic Laws, not ODEs", + "Support for ODEs will be added in the future.", + ) + def integrate( self, model: v2.EnzymeMLDocument, diff --git a/tests/integration/test_psyces.py b/tests/integration/test_psyces.py index 9849aaac..4091a881 100644 --- a/tests/integration/test_psyces.py +++ b/tests/integration/test_psyces.py @@ -1,4 +1,6 @@ import tempfile + +import pytest import pyenzyme as pe from pyenzyme.thinlayers import ThinLayerPysces from pyenzyme.versions import v2 @@ -60,6 +62,13 @@ def test_plot(self): assert fig is not None, "Figure is not created" assert axs is not None, "Axes are not created" + def test_compliance(self): + doc = pe.read_enzymeml("tests/fixtures/modeling/enzmldoc.json") + + with pytest.raises(ValueError): + with tempfile.TemporaryDirectory() as tmp_dir: + ThinLayerPysces(doc, tmp_dir) + @staticmethod def _extract_parameter(doc: v2.EnzymeMLDocument, symbol: str) -> v2.Parameter: param = next(p for p in doc.parameters if p.symbol == symbol) From 18b4782045410272ef45c570cb3c0b001607ae73 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:39:35 +0200 Subject: [PATCH 138/172] add `lmfit` dependency --- .github/workflows/unit-tests.yaml | 2 +- pyproject.toml | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/unit-tests.yaml b/.github/workflows/unit-tests.yaml index 7671daaf..83a513ce 100644 --- a/.github/workflows/unit-tests.yaml +++ b/.github/workflows/unit-tests.yaml @@ -20,7 +20,7 @@ jobs: - name: Install dependencies run: | python3 -m pip install --upgrade pip - python3 -m pip install pytest-cov openpyxl pytest-httpx pysces + python3 -m pip install pytest-cov openpyxl pytest-httpx pysces lmfit pip3 install -e . - name: Test with pytest diff --git a/pyproject.toml b/pyproject.toml index 5dd74b19..7152f46f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,6 +23,7 @@ joblib = "^1.5.0" [tool.poetry.group.psyces.dependencies] pysces = "^1.2.3" +lmfit = "^1.3.3" [tool.poetry.group.excel.dependencies] openpyxl = "^3.1.4" From 5296d2e363938507018f62c1f24ce79e7c07b0e4 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:41:11 +0200 Subject: [PATCH 139/172] add test file --- .../fixtures/modeling/enzmldoc_reaction.json | 4416 +++++++++++++++++ 1 file changed, 4416 insertions(+) create mode 100644 tests/fixtures/modeling/enzmldoc_reaction.json diff --git a/tests/fixtures/modeling/enzmldoc_reaction.json b/tests/fixtures/modeling/enzmldoc_reaction.json new file mode 100644 index 00000000..4b2192b2 --- /dev/null +++ b/tests/fixtures/modeling/enzmldoc_reaction.json @@ -0,0 +1,4416 @@ +{ + "name": "ABTS measurement", + "references": [], + "created": null, + "modified": null, + "creators": [], + "vessels": [ + { + "id": "vessel0", + "name": "vessel0", + "volume": 1.0, + "unit": { + "id": "l", + "name": "l", + "base_units": [ + { + "kind": "litre", + "exponent": 1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + } + } + ], + "proteins": [ + { + "id": "slac", + "name": "slac", + "constant": false, + "sequence": null, + "vessel_id": "vessel0", + "ecnumber": null, + "organism": null, + "organism_tax_id": null, + "references": [] + }, + { + "id": "slac_inactive", + "name": "slac_inactive", + "constant": false, + "sequence": null, + "vessel_id": "vessel0", + "ecnumber": null, + "organism": null, + "organism_tax_id": null, + "references": [] + } + ], + "small_molecules": [ + { + "id": "abts", + "name": "abts", + "constant": false, + "vessel_id": "vessel0", + "canonical_smiles": null, + "inchi": null, + "inchikey": null, + "references": [] + }, + { + "id": "buffer", + "name": "buffer", + "constant": false, + "vessel_id": "vessel0", + "canonical_smiles": null, + "inchi": null, + "inchikey": null, + "references": [] + }, + { + "id": "abts_radical", + "name": "abts_radical", + "constant": false, + "vessel_id": "vessel0", + "canonical_smiles": null, + "inchi": null, + "inchikey": null, + "references": [] + } + ], + "reactions": [ + { + "id": "reaction0", + "name": "reaction0", + "reversible": false, + "reactants": [ + { + "species_id": "abts", + "stoichiometry": 1.0 + } + ], + "products": [ + { + "species_id": "abts_radical", + "stoichiometry": 1.0 + } + ], + "kinetic_law": { + "species_id": "slac_oxidation", + "equation": "k_cat * slac * abts / (K_M + abts)", + 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"base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -6.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "time_unit": null, + "data_type": "concentration", + "is_simulated": false + }, + { + "species_id": "slac_inactive", + "prepared": null, + "initial": 0.0, + "data_unit": { + "id": "mmol / l", + "name": "mmol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "time_unit": null, + "data_type": "concentration", + "is_simulated": false + } + ], + "group_id": null, + "ph": null, + "temperature": null, + "temperature_unit": null + } + ] + } \ No newline at end of file From c9ed0d83d1239085afa4231c2c4671478d3523cd Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 16:41:29 +0200 Subject: [PATCH 140/172] dont fail fast --- .github/workflows/unit-tests.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/unit-tests.yaml b/.github/workflows/unit-tests.yaml index 83a513ce..7b1d5a9b 100644 --- a/.github/workflows/unit-tests.yaml +++ b/.github/workflows/unit-tests.yaml @@ -7,6 +7,7 @@ jobs: runs-on: ubuntu-latest strategy: max-parallel: 4 + fail-fast: false matrix: python-version: ['3.10', '3.11', '3.12', '3.13'] From 18afd118718ed199a01ef0e0ed759176899b6ae3 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 18:19:30 +0200 Subject: [PATCH 141/172] add interactive plot --- pyenzyme/__init__.py | 2 +- pyenzyme/plotting/__init__.py | 3 +- pyenzyme/plotting/interactive.py | 416 +++++++++++++++++++++++++++++++ pyproject.toml | 1 + tests/integration/test_psyces.py | 16 ++ 5 files changed, 436 insertions(+), 2 deletions(-) create mode 100644 pyenzyme/plotting/interactive.py diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index 737ff595..d86d5a15 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -7,7 +7,7 @@ from .fetcher import * # noqa: F403 from .composer import compose from .suite import EnzymeMLSuite -from .plotting import plot +from .plotting import plot, plot_interactive # Input functions from_csv = EnzymeMLHandler.from_csv diff --git a/pyenzyme/plotting/__init__.py b/pyenzyme/plotting/__init__.py index da96451c..1d413c78 100644 --- a/pyenzyme/plotting/__init__.py +++ b/pyenzyme/plotting/__init__.py @@ -1,3 +1,4 @@ from .static import plot +from .interactive import plot_interactive -__all__ = ["plot"] +__all__ = ["plot", "plot_interactive"] diff --git a/pyenzyme/plotting/interactive.py b/pyenzyme/plotting/interactive.py new file mode 100644 index 00000000..a6d44488 --- /dev/null +++ b/pyenzyme/plotting/interactive.py @@ -0,0 +1,416 @@ +from typing import List, Optional, Tuple, Dict + +from bokeh.models import TabPanel, Tabs, HoverTool, ColumnDataSource +from bokeh.plotting import figure, show as show_bokeh +from bokeh.io import output_file, output_notebook +from bokeh.palettes import Category10, Category20 +import rich + +from pyenzyme.thinlayers.base import BaseThinLayer, SimResult, Time +from pyenzyme.versions import v2 + +# Default figure dimensions +DEFAULT_WIDTH = 800 +DEFAULT_HEIGHT = 400 + + +def plot_interactive( + enzmldoc: v2.EnzymeMLDocument, + measurement_ids: Optional[list[str]] = None, + thinlayer: Optional[BaseThinLayer] = None, + out: Optional[str] = None, + width: int = DEFAULT_WIDTH, + height: int = DEFAULT_HEIGHT, + show: bool = True, + output_nb: bool = True, + **kwargs, +) -> Tabs: + """ + Creates interactive plots of measurement data from an EnzymeML document using Bokeh. + + This function generates plots for experimental measurements and optionally includes + model fits provided by a thinlayer. Each measurement is displayed in a separate + tab, with species data and their corresponding model fits if available. + + Parameters + ---------- + enzmldoc : v2.EnzymeMLDocument + The EnzymeML document containing measurement data to plot. + measurement_ids : Optional[list[str]], optional + List of specific measurement IDs to plot. If None, all measurements are plotted. + thinlayer : Optional[BaseThinLayer], optional + A thinlayer object providing model fits for the data. If provided, + fitting curves will be displayed alongside experimental data. + out : Optional[str], optional + File path to save the plot if desired. If provided, the plot is saved + as an HTML file. + width : int, optional + Width of the plot in pixels, by default 600. + height : int, optional + Height of the plot in pixels, by default 400. + render : bool, optional + Whether to immediately display the plot, by default True. + **kwargs + Additional keyword arguments passed to Bokeh plotting functions. + + Returns + ------- + Tabs + A Bokeh Tabs object containing all measurement plots. + + Examples + -------- + Basic usage with all measurements: + + >>> import pyenzyme as pe + >>> doc = pe.read_enzymeml("path/to/enzmldoc.json") + >>> tabs = pe.plot_interactive(enzmldoc=doc) + >>> show(tabs) # Display in a notebook or browser + + Using a thinlayer for model fitting: + + >>> import pyenzyme as pe + >>> import pyenzyme.thinlayers as tls + >>> doc = pe.read_enzymeml("path/to/enzmldoc.json") + >>> tl = tls.ThinLayerPysces(doc) + >>> tl.optimize() + >>> tabs = pe.plot_interactive( + ... enzmldoc=doc, + ... thinlayer=tl, + ... measurement_ids=["measurement0", "measurement1"], + ... out="interactive_plots.html" + ... ) + >>> show(tabs) # Display in a notebook or browser + """ + + is_nb = _is_notebook() + if output_nb and is_nb: + output_notebook() + + # Filter measurements based on provided IDs + if measurement_ids is None: + measurements = enzmldoc.measurements + else: + measurements = [m for m in enzmldoc.measurements if m.id in measurement_ids] + + # If an output file is specified, set it up + if out: + output_file(out) + + # Create a color map for consistent species colors across tabs + species_ids = set() + for measurement in measurements: + for species_data in measurement.species_data: + species_ids.add(species_data.species_id) + + # Choose a palette based on the number of species + num_species = len(species_ids) + if num_species <= 10: + palette = Category10[10] + else: + palette = Category20[20] + + # Make sure we have enough colors by cycling if needed + color_map = {} + for i, species_id in enumerate(sorted(species_ids)): + color_map[species_id] = palette[i % len(palette)] + + # Create tabs for each measurement + tabs = [] + for measurement in measurements: + # Create a tab for this measurement + tab = _create_measurement_tab( + enzmldoc, measurement, thinlayer, width, height, color_map, **kwargs + ) + tabs.append(tab) + + # Return the tabbed layout + tabs = Tabs(tabs=tabs) + + if show: + show_bokeh(tabs, notebook_handle=is_nb) + + if out: + rich.print(f"Saving plot to [bold green]{out}[/bold green]") + output_file(out) + + return tabs + + +def _is_notebook() -> bool: + """ + Check if the current environment is a Jupyter notebook. + + Returns + ------- + bool + True if running in a Jupyter notebook, False otherwise. + """ + try: + from IPython.core.getipython import get_ipython + + return get_ipython() is not None + except NameError: + return False + + +def _create_measurement_tab( + enzmldoc: v2.EnzymeMLDocument, + measurement: v2.Measurement, + thinlayer: Optional[BaseThinLayer], + width: int, + height: int, + color_map: Dict[str, str], + **kwargs, +) -> TabPanel: + """ + Create a tab panel for a single measurement. + + Parameters + ---------- + enzmldoc : v2.EnzymeMLDocument + The EnzymeML document containing the data. + measurement : v2.Measurement + The specific measurement to plot. + thinlayer : Optional[BaseThinLayer] + A thinlayer object providing model predictions, if available. + width : int + Width of the plot in pixels. + height : int + Height of the plot in pixels. + color_map : Dict[str, str] + Mapping from species ID to color for consistent coloring across tabs. + **kwargs + Additional keyword arguments passed to Bokeh plotting functions. + + Returns + ------- + TabPanel + A Bokeh TabPanel containing the plot for this measurement. + """ + # Sort species data by ID for consistent order + species_data = sorted( + [s for s in measurement.species_data], key=lambda x: x.species_id + ) + + # Get data types for y-axis label + dataytypes = _collect_dataytypes(species_data) + + # Create a figure for this measurement + p = figure( + width=width, + height=height, + title=measurement.name, + tools="pan,box_zoom,wheel_zoom,reset,save", + x_axis_label="Time", + y_axis_label=", ".join(dataytypes), + **kwargs, + ) + + # Style the plot + p.grid.grid_line_alpha = 0.3 + p.grid.grid_line_dash = [6, 4] + + # Add hover tool for interactive data inspection + hover = HoverTool( + tooltips=[ + ("Species", "@species"), + ("Time", "@time"), + ("Value", "@value"), + ("Type", "@data_type"), + ] + ) + p.add_tools(hover) + + # Get model predictions if available + if thinlayer: + pred, time = _get_fit(enzmldoc, measurement, thinlayer) + else: + pred, time = {}, [] + + # Plot each species + for species in species_data: + _plot_species_bokeh(p, species, pred, time, color_map, **kwargs) + + # Configure the legend + p.legend.location = "top_right" + p.legend.click_policy = "hide" # Allow toggling visibility by clicking + + # Return the tab panel + return TabPanel(child=p, title=measurement.name) + + +def _plot_species_bokeh( + p: figure, + species: v2.MeasurementData, + pred: SimResult, + time: List[float], + color_map: Dict[str, str], + **kwargs, +) -> None: + """ + Plot experimental data and model fit for a single species using Bokeh. + + Parameters + ---------- + p : figure + The Bokeh figure to plot on. + species : v2.MeasurementData + The measurement data for a specific species. + pred : Dict[str, List[float]] + Model predictions, if available. + time : List[float] + Time points for model predictions. + color_map : Dict[str, str] + Mapping from species ID to color for consistent coloring across tabs. + **kwargs + Additional keyword arguments passed to Bokeh plotting functions. + """ + # Get color for this species from the color map + color = color_map[species.species_id] + + # Plot experimental data if available + if len(species.data) > 0: + # Create a ColumnDataSource for hover tooltips + source = ColumnDataSource( + data={ + "time": species.time, + "value": species.data, + "species": [species.species_id] * len(species.time), + "data_type": [ + species.data_type.value if species.data_type else "Unknown" + ] + * len(species.time), + } + ) + + p.circle( + x="time", + y="value", + source=source, + radius=7, + color=color, + alpha=1.0, + legend_label=species.species_id, + **kwargs, + ) + + # Add model fit if available for this species + if species.species_id in pred: + # Create a ColumnDataSource for fit data with hover tooltips + fit_source = ColumnDataSource( + data={ + "time": time, + "value": pred[species.species_id], + "species": [f"{species.species_id} (fit)"] * len(time), + "data_type": ["Model prediction"] * len(time), + } + ) + + p.line( + x="time", + y="value", + source=fit_source, + line_width=1.5, + color=color, + alpha=1.0, + legend_label=f"{species.species_id} Fit", + **kwargs, + ) + + # If no experimental data but model fit is available + elif species.species_id in pred: + # Create a ColumnDataSource for fit data with hover tooltips + fit_source = ColumnDataSource( + data={ + "time": time, + "value": pred[species.species_id], + "species": [f"{species.species_id} (fit)"] * len(time), + "data_type": ["Model prediction"] * len(time), + } + ) + + p.line( + x="time", + y="value", + source=fit_source, + line_width=1.5, + color=color, + alpha=0.8, + legend_label=f"{species.species_id} Fit", + **kwargs, + ) + + +def _get_fit( + enzmldoc: v2.EnzymeMLDocument, + measurement: v2.Measurement, + thinlayer: BaseThinLayer, +) -> Tuple[SimResult, Time]: + """ + Get model predictions for a measurement using a thinlayer. + + Parameters + ---------- + enzmldoc : v2.EnzymeMLDocument + The EnzymeML document containing the data. + measurement : v2.Measurement + The measurement to generate predictions for. + thinlayer : BaseThinLayer + The thinlayer object providing integration capabilities. + + Returns + ------- + Tuple[Dict[str, List[float]], List[float]] + A tuple containing predictions for each species and the time points. + + Raises + ------ + ValueError + If time data is missing for all species in the measurement. + """ + # Get the initial conditions from the measurement + initial_conditions = { + s.species_id: s.initial for s in measurement.species_data if s.initial + } + + # Get the time points from the measurement + time = next((s.time for s in measurement.species_data if s.time), None) + + if time is None: + raise ValueError("Time is not set for any species in the measurement") + + t0, t1 = min(time), max(time) + + # Use thinlayer to integrate the model + return thinlayer.integrate( + model=enzmldoc, + initial_conditions=initial_conditions, + t0=t0, + t1=t1, + ) + + +def _collect_dataytypes(measurement_data: List[v2.MeasurementData]) -> List[str]: + """ + Extract and format unique measurement data types. + + Parameters + ---------- + measurement_data : List[v2.MeasurementData] + List of measurement data objects. + + Returns + ------- + List[str] + Unique, capitalized data types from measurements. + """ + return list( + set( + [ + s.data_type.value.capitalize() + for s in measurement_data + if s.data_type is not None + ] + ) + ) diff --git a/pyproject.toml b/pyproject.toml index 7152f46f..2eda7cfc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,6 +20,7 @@ pymetadata = "^0.5.3" httpx = ">=0.27" mdmodels = "^0.2.1" joblib = "^1.5.0" +bokeh = "^3.7.3" [tool.poetry.group.psyces.dependencies] pysces = "^1.2.3" diff --git a/tests/integration/test_psyces.py b/tests/integration/test_psyces.py index 4091a881..889d9d2b 100644 --- a/tests/integration/test_psyces.py +++ b/tests/integration/test_psyces.py @@ -1,3 +1,4 @@ +import os import tempfile import pytest @@ -62,6 +63,21 @@ def test_plot(self): assert fig is not None, "Figure is not created" assert axs is not None, "Axes are not created" + def test_plot_interactive(self): + with tempfile.TemporaryDirectory() as tmp_dir: + doc = pe.read_enzymeml("tests/fixtures/modeling/enzmldoc_reaction.json") + layer = ThinLayerPysces(doc, tmp_dir) + layer.optimize() + + out_file = "test.html" + pe.plot_interactive( + layer.enzmldoc, + thinlayer=layer, + output_nb=False, + show=False, + out=out_file, + ) + def test_compliance(self): doc = pe.read_enzymeml("tests/fixtures/modeling/enzmldoc.json") From ac316e198e10b2f59bb1a0a171a84c3ba8712d51 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 18:20:19 +0200 Subject: [PATCH 142/172] fix linter error --- pyenzyme/__init__.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index d86d5a15..0d871a9b 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -36,4 +36,5 @@ "write_enzymeml", "compose", "plot", + "plot_interactive", ] From 62a4f154d112b5288d63b740e3ee61e477bea2b1 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 18:26:30 +0200 Subject: [PATCH 143/172] check for `IPython` availability --- pyenzyme/plotting/interactive.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyenzyme/plotting/interactive.py b/pyenzyme/plotting/interactive.py index a6d44488..b5a36dc0 100644 --- a/pyenzyme/plotting/interactive.py +++ b/pyenzyme/plotting/interactive.py @@ -150,7 +150,7 @@ def _is_notebook() -> bool: from IPython.core.getipython import get_ipython return get_ipython() is not None - except NameError: + except ModuleNotFoundError: return False From f4f3a5f2172d3b059825bdc9b458ff95445ca8e4 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 23 May 2025 18:29:17 +0200 Subject: [PATCH 144/172] remove unused import --- tests/integration/test_psyces.py | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/integration/test_psyces.py b/tests/integration/test_psyces.py index 889d9d2b..ebbb6837 100644 --- a/tests/integration/test_psyces.py +++ b/tests/integration/test_psyces.py @@ -1,4 +1,3 @@ -import os import tempfile import pytest From 0644d4e6c3bf71356bd2f839f5e6869282d6468d Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Mon, 26 May 2025 01:03:34 +0200 Subject: [PATCH 145/172] add petab export --- pyenzyme/__init__.py | 1 + pyenzyme/petab/__init__.py | 3 + pyenzyme/petab/baserow.py | 16 + pyenzyme/petab/conditions.py | 68 + pyenzyme/petab/io.py | 124 + pyenzyme/petab/measurements.py | 104 + pyenzyme/petab/observables.py | 80 + pyenzyme/petab/parameters.py | 132 + pyenzyme/petab/petab.py | 78 + pyenzyme/versions/io.py | 16 + tests/fixtures/petab/abts_measurement.yaml | 11 + .../petab/abts_measurement_conditions.tsv | 25 + .../petab/abts_measurement_measurements.tsv | 265 + .../fixtures/petab/abts_measurement_model.xml | 454 ++ .../petab/abts_measurement_observables.tsv | 2 + .../petab/abts_measurement_parameters.tsv | 4 + tests/fixtures/petab/enzmldoc_reaction.json | 4416 +++++++++++++++++ tests/integration/test_petab.py | 282 ++ 18 files changed, 6081 insertions(+) create mode 100644 pyenzyme/petab/__init__.py create mode 100644 pyenzyme/petab/baserow.py create mode 100644 pyenzyme/petab/conditions.py create mode 100644 pyenzyme/petab/io.py create mode 100644 pyenzyme/petab/measurements.py create mode 100644 pyenzyme/petab/observables.py create mode 100644 pyenzyme/petab/parameters.py create mode 100644 pyenzyme/petab/petab.py create mode 100644 tests/fixtures/petab/abts_measurement.yaml create mode 100644 tests/fixtures/petab/abts_measurement_conditions.tsv create mode 100644 tests/fixtures/petab/abts_measurement_measurements.tsv create mode 100644 tests/fixtures/petab/abts_measurement_model.xml create mode 100644 tests/fixtures/petab/abts_measurement_observables.tsv create mode 100644 tests/fixtures/petab/abts_measurement_parameters.tsv create mode 100644 tests/fixtures/petab/enzmldoc_reaction.json create mode 100644 tests/integration/test_petab.py diff --git a/pyenzyme/__init__.py b/pyenzyme/__init__.py index 0d871a9b..f78a4ff9 100644 --- a/pyenzyme/__init__.py +++ b/pyenzyme/__init__.py @@ -20,6 +20,7 @@ # Output functions to_pandas = EnzymeMLHandler.to_pandas to_sbml = EnzymeMLHandler.to_sbml +to_petab = EnzymeMLHandler.to_petab write_enzymeml = EnzymeMLHandler.write_enzymeml __all__ = [ diff --git a/pyenzyme/petab/__init__.py b/pyenzyme/petab/__init__.py new file mode 100644 index 00000000..ea866269 --- /dev/null +++ b/pyenzyme/petab/__init__.py @@ -0,0 +1,3 @@ +from .io import to_petab + +__all__ = ["to_petab"] diff --git a/pyenzyme/petab/baserow.py b/pyenzyme/petab/baserow.py new file mode 100644 index 00000000..cc982db3 --- /dev/null +++ b/pyenzyme/petab/baserow.py @@ -0,0 +1,16 @@ +from typing import Any +from pydantic import BaseModel, ConfigDict + + +class BaseRow(BaseModel): + """ + Base class for all PEtab rows. + """ + + model_config = ConfigDict(use_enum_values=True) + + def to_row(self) -> dict[str, Any]: + """ + Converts the row to a dictionary suitable for a PEtab table row. + """ + return self.model_dump(by_alias=True, mode="json") diff --git a/pyenzyme/petab/conditions.py b/pyenzyme/petab/conditions.py new file mode 100644 index 00000000..51ccc909 --- /dev/null +++ b/pyenzyme/petab/conditions.py @@ -0,0 +1,68 @@ +from typing import Dict, Self, Any +from pydantic import Field + +from pyenzyme.versions import v2 +from .baserow import BaseRow + + +class ConditionRow(BaseRow): + """ + Represents a row in a PEtab conditions table. + + This class models experimental conditions with species initial concentrations + and other condition-specific parameters. + + Attributes: + condition_id: Unique identifier for the condition + condition_name: Human-readable name for the condition + species: Dictionary mapping species IDs to their initial concentrations + """ + + condition_id: str = Field(alias="conditionId") + condition_name: str = Field(alias="conditionName") + species: dict[str, float] = Field(default_factory=dict) + + def to_row(self) -> Dict[str, Any]: + """ + Converts the condition to a dictionary suitable for a PEtab conditions table row. + + Returns: + Dictionary with condition ID, name, and species initial concentrations + """ + return { + **self.model_dump(exclude={"species"}, by_alias=True), + **self.species, + } + + @classmethod + def from_measurements(cls, measurements: list[v2.Measurement]) -> list[Self]: + """ + Creates a list of ConditionRow objects from a list of PyEnzyme Measurement objects. + """ + return [cls.from_measurement(measurement) for measurement in measurements] + + @classmethod + def from_measurement(cls, measurement: v2.Measurement) -> Self: + """ + Creates a ConditionRow from a PyEnzyme Measurement object. + + This method extracts species initial concentrations from the measurement + and creates a corresponding condition row. + + Args: + measurement: PyEnzyme Measurement object containing species data + + Returns: + A new ConditionRow instance with data from the measurement + """ + inits = { + str(meas_data.species_id): meas_data.initial + for meas_data in measurement.species_data + if meas_data.initial is not None + } + + return cls( + conditionId=measurement.id, + conditionName=measurement.name, + species=inits, + ) diff --git a/pyenzyme/petab/io.py b/pyenzyme/petab/io.py new file mode 100644 index 00000000..3edb4018 --- /dev/null +++ b/pyenzyme/petab/io.py @@ -0,0 +1,124 @@ +from pathlib import Path +from typing import Union + +import pandas as pd +import yaml + +from pyenzyme.sbml.serializer import to_sbml +from pyenzyme.versions import v2 + +from .petab import PEtab, Problem +from .conditions import ConditionRow +from .observables import ObservableRow +from .measurements import MeasurementRow +from .parameters import ParameterRow + +# Default filenames for PEtab format components +PARAMETER_FILENAME = "parameters.tsv" +CONDITION_FILENAME = "conditions.tsv" +OBSERVABLE_FILENAME = "observables.tsv" +MEASUREMENT_FILENAME = "measurements.tsv" +SBML_FILENAME = "model.xml" + + +def to_petab(doc: v2.EnzymeMLDocument, path: Union[Path, str]) -> PEtab: + """ + Convert an EnzymeML document to a PEtab parameter estimation problem. + + This function exports an EnzymeML document to the PEtab format, which is a + standardized format for specifying parameter estimation problems in systems biology. + The function creates all necessary PEtab files: + + 1. SBML model file: Contains the mathematical model specification + 2. Condition table: Specifies experimental conditions + 3. Observable table: Defines model outputs that correspond to measurements + 4. Measurement table: Contains experimental data points + 5. Parameter table: Defines model parameters and their estimation settings + 6. YAML configuration file: Links all files together in a PEtab problem definition + + Parameters + ---------- + doc : v2.EnzymeMLDocument + The EnzymeML document to convert, containing all model information, + measurements, and parameters. + path : Union[Path, str] + Directory path where PEtab files will be written. If the directory + doesn't exist, it will be created. + + Returns + ------- + None + Files are written to the specified path. + + Notes + ----- + The file naming convention is based on the EnzymeML document name, + with spaces replaced by underscores and converted to lowercase. + """ + + if isinstance(path, str): + path = Path(path) + + if not path.exists(): + path.mkdir(parents=True) + + # Create paths for all PEtab files + name = doc.name.replace(" ", "_").lower() + meta_path = path / f"{name}.yaml" + condition_path = path / f"{name}_{CONDITION_FILENAME}" + observable_path = path / f"{name}_{OBSERVABLE_FILENAME}" + measurement_path = path / f"{name}_{MEASUREMENT_FILENAME}" + parameter_path = path / f"{name}_{PARAMETER_FILENAME}" + sbml_path = path / f"{name}_{SBML_FILENAME}" + + # Write SBML model file + with open(sbml_path, "w") as f: + sbml, _ = to_sbml(doc) + f.write(sbml) + + # Generate and write conditions table + pd.DataFrame( + [row.to_row() for row in ConditionRow.from_measurements(doc.measurements)], + ).to_csv(condition_path, index=False, sep="\t") + + # Generate and write observables table + pd.DataFrame( + [row.to_row() for row in ObservableRow.from_enzymeml(doc)], + ).to_csv(observable_path, index=False, sep="\t") + + # Generate and write measurements table + pd.DataFrame( + [row.to_row() for row in MeasurementRow.from_measurements(doc.measurements)], + ).to_csv(measurement_path, index=False, sep="\t") + + # Generate and write parameters table + pd.DataFrame( + [row.to_row() for row in ParameterRow.from_parameters(doc.parameters)], + ).to_csv(parameter_path, index=False, sep="\t") + + # Create PEtab configuration object + meta = PEtab( + format_version=1, + parameter_file=parameter_path, + problems=[ + Problem( + sbml_files=[sbml_path], + measurement_files=[measurement_path], + condition_files=[condition_path], + observable_files=[observable_path], + ) + ], + ) + + # Serialize configuration to YAML + with open(meta_path, "w") as f: + yaml.dump( + meta.model_dump( + mode="json", + by_alias=True, + exclude_none=True, + ), + f, + ) + + return meta diff --git a/pyenzyme/petab/measurements.py b/pyenzyme/petab/measurements.py new file mode 100644 index 00000000..25cd1f94 --- /dev/null +++ b/pyenzyme/petab/measurements.py @@ -0,0 +1,104 @@ +from typing import List, Self, Union +from pydantic import Field + +from pyenzyme.versions import v2 +from .baserow import BaseRow + + +class MeasurementRow(BaseRow): + """ + Represents a row in a PEtab measurements table. + + This class models experimental measurements with species initial concentrations + and other measurement-specific parameters. + + Attributes: + observable_id (str): The identifier of the observable being measured. + Maps to 'observableId' in the PEtab specification. + preequilibration_condition_id (str | None): The identifier of the preequilibration condition. + Maps to 'preequilibrationConditionId' in the PEtab specification. + Defaults to None if no preequilibration was performed. + condition_id (str): The identifier of the simulation condition. + Maps to 'simulationConditionId' in the PEtab specification. + measurement (float): The measured value of the observable. + Maps to 'measurement' in the PEtab specification. + time (float): The time point at which the measurement was taken. + Maps to 'time' in the PEtab specification. + observable_parameters (Union[str, float, None]): Parameters for the observable transformation. + Maps to 'observableParameters' in the PEtab specification. + Can be a parameter ID, a numeric value, or None if not applicable. + noise_parameters (Union[str, float, None]): Parameters for the noise model. + Maps to 'noiseParameters' in the PEtab specification. + Can be a parameter ID, a numeric value, or None if not applicable. + dataset_id (str | None): An identifier for the dataset this measurement belongs to. + Maps to 'datasetId' in the PEtab specification. + Useful for grouping measurements from the same experiment. + replicate_id (str | None): An identifier for the replicate this measurement belongs to. + Maps to 'replicateId' in the PEtab specification. + Useful for identifying repeated measurements under identical conditions. + """ + + observable_id: str = Field(alias="observableId") + preequilibration_condition_id: str | None = Field( + default=None, + alias="preequilibrationConditionId", + ) + condition_id: str = Field(alias="simulationConditionId") + measurement: float = Field(alias="measurement") + time: float = Field(alias="time") + observable_parameters: Union[str, float, None] = Field( + default=None, + alias="observableParameters", + ) + noise_parameters: Union[str, float, None] = Field( + default=None, + alias="noiseParameters", + ) + dataset_id: str | None = Field(alias="datasetId", default=None) + replicate_id: str | None = Field(alias="replicateId", default=None) + + @classmethod + def from_measurements(cls, measurements: list[v2.Measurement]) -> List[Self]: + """ + Convert a list of EnzymeML Measurement objects to a list of PEtab MeasurementRow objects. + """ + return [ + row + for measurement in measurements + for row in cls.from_measurement(measurement) + ] + + @classmethod + def from_measurement(cls, measurement: v2.Measurement) -> List[Self]: + """ + Convert an EnzymeML Measurement object to a list of PEtab MeasurementRow objects. + + This method extracts the time series data from a Measurement object and creates + individual MeasurementRow entries for each time point and corresponding data value. + + Args: + measurement (v2.Measurement): An EnzymeML Measurement object containing + species concentration time series data. + + Returns: + List[Self]: A list of MeasurementRow objects, each representing a single + data point from the original measurement. Each row contains the species ID, + measurement condition ID, the measured value, and the time point. + + Example: + If a Measurement contains data for species 'S1' with time points [0, 10, 20] + and corresponding values [1.0, 0.8, 0.6], this method will return three + MeasurementRow objects, one for each time-value pair. + """ + meas_rows = [] + for meas_data in measurement.species_data: + for t, x in zip(meas_data.time, meas_data.data): + meas_rows.append( + cls( + observableId=meas_data.species_id, + simulationConditionId=measurement.id, + measurement=x, + time=t, + ) + ) + return meas_rows diff --git a/pyenzyme/petab/observables.py b/pyenzyme/petab/observables.py new file mode 100644 index 00000000..d3043ab0 --- /dev/null +++ b/pyenzyme/petab/observables.py @@ -0,0 +1,80 @@ +from enum import Enum +from typing import Optional, Self +from pydantic import ConfigDict, Field + +from pyenzyme.versions import v2 +from .baserow import BaseRow + + +class Transformation(Enum): + LIN = "lin" + LOG = "log" + LOG10 = "log10" + + +class NoiseDistribution(Enum): + NORMAL = "normal" + LAPLACE = "laplace" + + +class ObservableRow(BaseRow): + model_config = ConfigDict(use_enum_values=True) + + observable_id: str = Field(alias="observableId") + observable_name: Optional[str] = Field(alias="observableName", default=None) + observable_formula: str = Field(alias="observableFormula") + observable_noise: Optional[float] = Field(alias="observableNoise", default=0.0) + observable_transformation: Transformation = Field( + alias="observableTransformation", + default=Transformation.LIN, + ) + noise_formula: Optional[str] = Field( + default=None, + alias="noiseFormula", + ) + noise_distribution: Optional[NoiseDistribution] = Field( + default=None, + alias="noiseDistribution", + ) + + @classmethod + def from_enzymeml(cls, enzmldoc: v2.EnzymeMLDocument) -> list[Self]: + """Extract observable rows from an EnzymeML document. + + Collects all species with data across measurements and creates observable rows. + """ + if not enzmldoc.measurements: + return [] + + # Get observables from first measurement + first_measurement = enzmldoc.measurements[0] + observables = { + meas_data.species_id + for meas_data in first_measurement.species_data + if meas_data.data + } + + for measurement in enzmldoc.measurements[1:]: + current_observables = { + meas_data.species_id + for meas_data in measurement.species_data + if meas_data.data + } + + missing = current_observables - observables + if missing: + raise ValueError( + f"Observable(s) {missing} not present in all measurements" + ) + + # Create observable rows + return [ + cls( + observableId=obs, + observableName=obs, + observableFormula=obs, + observableNoise=0.0, + observableTransformation=Transformation.LIN, + ) + for obs in observables + ] diff --git a/pyenzyme/petab/parameters.py b/pyenzyme/petab/parameters.py new file mode 100644 index 00000000..50b79892 --- /dev/null +++ b/pyenzyme/petab/parameters.py @@ -0,0 +1,132 @@ +from enum import Enum +from typing import List, Optional, Self +from pydantic import ConfigDict, Field, field_serializer, field_validator + +from pyenzyme.versions import v2 +from .baserow import BaseRow + + +class ParameterScale(Enum): + """ + Enumeration of parameter scaling options. + + Defines how parameters are scaled for optimization and fitting. + """ + + LOG = "log" + LOG10 = "log10" + LIN = "lin" + + +class PriorType(Enum): + """ + Enumeration of available prior distribution types. + + Defines the types of prior distributions that can be used for parameters + in Bayesian parameter estimation. + """ + + NORMAL = "normal" + UNIFORM = "uniform" + LAPLACE = "laplace" + LOGNORMAL = "lognormal" + LOGLAPLACE = "loglaplace" + PARAMETER_SCALE_UNIFORM = "parameterScaleUniform" + PARAMETER_SCALE_NORMAL = "parameterScaleNormal" + PARAMETER_SCALE_LAPLACE = "parameterScaleLaplace" + + +class ParameterRow(BaseRow): + """ + Represents a row in a PEtab parameters table. + + This class models parameter information including bounds, scales, and prior + distributions used for parameter estimation and optimization. + """ + + model_config = ConfigDict(use_enum_values=True) + + parameter_id: str = Field(alias="parameterId") + parameter_name: Optional[str] = Field(alias="parameterName", default=None) + parameter_scale: ParameterScale = Field( + default=ParameterScale.LIN, + alias="parameterScale", + ) + lower_bound: float = Field(alias="lowerBound") + upper_bound: float = Field(alias="upperBound") + nominal_value: Optional[float] = Field(alias="nominalValue", default=None) + estimate: bool = Field(alias="estimate", default=True) + initialization_prior_type: PriorType = Field( + default=PriorType.PARAMETER_SCALE_UNIFORM, + alias="initializationPriorType", + ) + initialization_prior_parameters: List[float] = Field( + default_factory=list, + alias="initializationPriorParameters", + ) + objective_prior_type: PriorType = Field( + default=PriorType.PARAMETER_SCALE_UNIFORM, + alias="objectivePriorType", + ) + objective_prior_parameters: List[float] = Field( + default_factory=list, + alias="objectivePriorParameters", + ) + + @field_serializer( + "objective_prior_parameters", + "initialization_prior_parameters", + ) + def serialize_prior_parameters(self, v: List[float]) -> str: + """ + Serializes a list of prior parameters into a semicolon-separated string. + + Args: + v: List of float values representing prior parameters + + Returns: + Semicolon-separated string of parameter values + """ + return ";".join(map(str, v)) + + @field_validator( + "objective_prior_parameters", + "initialization_prior_parameters", + mode="before", + ) + @classmethod + def validate_prior_parameters(cls, v: str) -> List[float]: + """ + Validates and converts a string of prior parameters into a list of floats. + + Args: + v: Semicolon-separated string of parameter values + + Returns: + List of float values parsed from the input string + """ + return [float(x) for x in v.split(";")] + + @classmethod + def from_parameters(cls, parameters: list[v2.Parameter]) -> list[Self]: + """ + Creates a list of ParameterRow objects from a list of PyEnzyme Parameter objects. + """ + return [cls.from_parameter(parameter) for parameter in parameters] + + @classmethod + def from_parameter(cls, parameter: v2.Parameter) -> Self: + """ + Creates a ParameterRow from a PyEnzyme Parameter object. + """ + if parameter.lower_bound is None or parameter.upper_bound is None: + raise ValueError("Parameter bounds are required") + + return cls( + parameterId=parameter.id, + parameterName=parameter.name, + parameterScale=ParameterScale.LIN, + lowerBound=parameter.lower_bound, + upperBound=parameter.upper_bound, + nominalValue=parameter.value, + ) diff --git a/pyenzyme/petab/petab.py b/pyenzyme/petab/petab.py new file mode 100644 index 00000000..b0b36a49 --- /dev/null +++ b/pyenzyme/petab/petab.py @@ -0,0 +1,78 @@ +from __future__ import annotations + +from pathlib import Path +from typing import List, Union, Optional +from pydantic import BaseModel, ConfigDict, Field + + +class PEtab(BaseModel): + """ + PEtab parameter estimation problem config file schema. + """ + + model_config = ConfigDict( + arbitrary_types_allowed=True, + ) + + format_version: int = Field( + default=1, + description="Version of the PEtab format. Only value 1 is supported.", + ) + + parameter_file: Union[Path, List[Path]] = Field( + description="File name (absolute or relative) or URL to PEtab parameter table " + "containing parameters of all models listed in `problems`. A single " + "table may be split into multiple files and described as an array here." + ) + problems: List[Problem] = Field( + default_factory=list, + description="One or multiple PEtab problems (sets of model, condition, observable " + "and measurement files). If different model and data files are " + "independent, they can be specified as separate PEtab problems, which " + "may allow more efficient handling. Files in one problem cannot refer " + "to models entities or data specified inside another problem.", + ) + + def add_problem( + self, + sbml_files: List[Path], + measurement_files: List[Path], + condition_files: List[Path], + observable_files: List[Path], + visualization_files: Optional[List[Path]] = None, + ) -> None: + """ + Add a problem to the PEtab object. + """ + self.problems.append( + Problem( + sbml_files=sbml_files, + measurement_files=measurement_files, + condition_files=condition_files, + observable_files=observable_files, + visualization_files=visualization_files, + ) + ) + + +class Problem(BaseModel): + """ + A set of PEtab model, condition, observable and measurement files and optional visualization files. + """ + + sbml_files: List[Path] = Field(description="List of PEtab SBML files.") + measurement_files: List[Path] = Field( + description="List of PEtab measurement files." + ) + condition_files: List[Path] = Field(description="List of PEtab condition files.") + observable_files: List[Path] = Field(description="List of PEtab observable files.") + visualization_files: Optional[List[Path]] = Field( + default=None, + description="List of PEtab visualization files.", + ) + + +# We need to rebuild the models to ensure +# the correct field names are used. +for cls in [PEtab, Problem]: + cls.model_rebuild() diff --git a/pyenzyme/versions/io.py b/pyenzyme/versions/io.py index ea1ddb38..7a26f74e 100644 --- a/pyenzyme/versions/io.py +++ b/pyenzyme/versions/io.py @@ -6,6 +6,8 @@ from pydantic import ValidationError import rich +from pyenzyme.petab.io import to_petab +from pyenzyme.petab.petab import PEtab from pyenzyme.sbml.serializer import to_sbml from pyenzyme.tabular import from_dataframe, read_csv, read_excel, to_pandas from pyenzyme.versions import v2 @@ -146,6 +148,20 @@ def to_sbml( """ return to_sbml(enzmldoc, path) + @classmethod + def to_petab( + cls, + enzmldoc: v2.EnzymeMLDocument, + path: Path | str, + ) -> PEtab: # noqa: F405 + """Convert an EnzymeML document to PEtab format and write to a file. + + Args: + enzmldoc: The EnzymeML document to convert + path: Path to write the PEtab document to + """ + return to_petab(enzmldoc, path) + @classmethod def from_sbml( cls, diff --git a/tests/fixtures/petab/abts_measurement.yaml b/tests/fixtures/petab/abts_measurement.yaml new file mode 100644 index 00000000..e61f54e1 --- /dev/null +++ b/tests/fixtures/petab/abts_measurement.yaml @@ -0,0 +1,11 @@ +format_version: 1 +parameter_file: tests/fixtures/petab/abts_measurement_parameters.tsv +problems: +- condition_files: + - tests/fixtures/petab/abts_measurement_conditions.tsv + measurement_files: + - tests/fixtures/petab/abts_measurement_measurements.tsv + observable_files: + - tests/fixtures/petab/abts_measurement_observables.tsv + sbml_files: + - tests/fixtures/petab/abts_measurement_model.xml diff --git a/tests/fixtures/petab/abts_measurement_conditions.tsv b/tests/fixtures/petab/abts_measurement_conditions.tsv new file mode 100644 index 00000000..9be0d967 --- /dev/null +++ b/tests/fixtures/petab/abts_measurement_conditions.tsv @@ -0,0 +1,25 @@ +conditionId conditionName buffer slac abts abts_radical slac_inactive +measurement0 measurement0 - A2 100.0 0.079037949 4.372881218445347 0.0 0.0 +measurement1 measurement0 - B2 100.0 0.079037949 4.595436863430999 0.0 0.0 +measurement2 measurement0 - C2 100.0 0.079037949 4.397609623443753 0.0 0.0 +measurement3 measurement1 - A3 100.0 0.079037949 9.288888132128404 0.0 0.0 +measurement4 measurement1 - B3 100.0 0.079037949 9.194920193134463 0.0 0.0 +measurement5 measurement1 - C3 100.0 0.079037949 9.13557202113829 0.0 0.0 +measurement6 measurement2 - A4 100.0 0.079037949 14.259297536807956 0.0 0.0 +measurement7 measurement2 - B4 100.0 0.079037949 14.120818468816886 0.0 0.0 +measurement8 measurement2 - C4 100.0 0.079037949 13.838914651835061 0.0 0.0 +measurement9 measurement3 - A5 100.0 0.079037949 23.567069178207873 0.0 0.0 +measurement10 measurement3 - B5 100.0 0.079037949 23.893484124186827 0.0 0.0 +measurement11 measurement3 - C5 100.0 0.079037949 23.631363031203726 0.0 0.0 +measurement12 measurement4 - A6 100.0 0.079037949 48.3498766676101 0.0 0.0 +measurement13 measurement4 - B6 100.0 0.079037949 48.15204942762285 0.0 0.0 +measurement14 measurement4 - C6 100.0 0.079037949 48.2954741766136 0.0 0.0 +measurement15 measurement5 - A7 100.0 0.079037949 72.99420508902124 0.0 0.0 +measurement16 measurement5 - B7 100.0 0.079037949 72.67768150504163 0.0 0.0 +measurement17 measurement5 - C7 100.0 0.079037949 72.92001987402602 0.0 0.0 +measurement18 measurement6 - A8 100.0 0.079037949 97.33190128845216 0.0 0.0 +measurement19 measurement6 - B8 100.0 0.079037949 95.83830562654845 0.0 0.0 +measurement20 measurement6 - C8 100.0 0.079037949 97.50994580444068 0.0 0.0 +measurement21 measurement7 - A9 100.0 0.079037949 146.36832840029072 0.0 0.0 +measurement22 measurement7 - B9 100.0 0.079037949 143.79162859945683 0.0 0.0 +measurement23 measurement7 - C9 100.0 0.079037949 145.94299983431813 0.0 0.0 diff --git a/tests/fixtures/petab/abts_measurement_measurements.tsv b/tests/fixtures/petab/abts_measurement_measurements.tsv new file mode 100644 index 00000000..932dd00d --- /dev/null +++ b/tests/fixtures/petab/abts_measurement_measurements.tsv @@ -0,0 +1,265 @@ +observableId preequilibrationConditionId simulationConditionId measurement time observableParameters noiseParameters datasetId replicateId +abts measurement0 4.372881218445347 0.0 +abts measurement0 4.051411953466072 87.0 +abts measurement0 3.9623896954718116 175.0 +abts measurement0 3.640920430492537 262.0 +abts measurement0 3.482658638502741 350.0 +abts measurement0 3.230428907519002 449.0 +abts measurement0 3.116678244526336 540.0 +abts measurement0 3.00292758153367 629.0 +abts measurement0 2.8051003415464244 720.0 +abts measurement0 2.6171644635585407 809.0 +abts measurement0 2.458902671568744 899.0 +abts measurement1 4.595436863430999 0.0 +abts measurement1 4.595436863430999 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"data_unit": { + "id": "umol / l", + "name": "umol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -6.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "data": [ + 146.36832840029072, + 140.82421999964814, + 137.31278648987453, + 135.01799050602247, + 133.3908614571274, + 131.01693457728044, + 128.06436302047078, + 127.05544409653582, + 125.32940142764711, + 123.811077360745, + 121.50144433389391 + ], + "time": [ + 0.0, + 87.0, + 175.0, + 262.0, + 350.0, + 449.0, + 540.0, + 629.0, + 720.0, + 809.0, + 899.0 + ], + "time_unit": { + "id": "s", + "name": "s", + "base_units": [ + { + "kind": "second", + "exponent": 1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "data_type": "concentration", + "is_simulated": false + }, + { + "species_id": "abts_radical", + "prepared": null, + "initial": 0.0, + "data_unit": { + "id": "umol / l", + "name": "umol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -6.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "time_unit": null, + "data_type": "concentration", + "is_simulated": false + }, + { + "species_id": "slac_inactive", + "prepared": null, + "initial": 0.0, + "data_unit": { + "id": "mmol / l", + "name": "mmol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "time_unit": null, + "data_type": "concentration", + "is_simulated": false + } + ], + "group_id": null, + "ph": null, + "temperature": null, + "temperature_unit": null + }, + { + "id": "measurement22", + "name": "measurement7 - B9", + "species_data": [ + { + "species_id": "buffer", + "prepared": null, + "initial": 100.0, + "data_unit": { + "id": "mmol / l", + "name": "mmol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "time_unit": null, + "data_type": "concentration", + "is_simulated": false + }, + { + "species_id": "slac", + "prepared": null, + "initial": 0.079037949, + "data_unit": { + "id": "umol / l", + "name": "umol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -6.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "time_unit": null, + "data_type": "concentration", + "is_simulated": false + }, + { + "species_id": "abts", + "prepared": null, + "initial": 143.79162859945683, + "data_unit": { + "id": "umol / l", + "name": "umol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -6.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "data": [ + 143.79162859945683, + 140.4137284766746, + 137.27816672287676, + 135.12679548801546, + 133.257328070136, + 131.09111979227566, + 128.6430076974335, + 127.28294542252118, + 125.39864096164266, + 123.60830443975809, + 122.04546924385885 + ], + "time": [ + 0.0, + 87.0, + 175.0, + 262.0, + 350.0, + 449.0, + 540.0, + 629.0, + 720.0, + 809.0, + 899.0 + ], + "time_unit": { + "id": "s", + "name": "s", + "base_units": [ + { + "kind": "second", + "exponent": 1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "data_type": "concentration", + "is_simulated": false + }, + { + "species_id": "abts_radical", + "prepared": null, + "initial": 0.0, + "data_unit": { + "id": "umol / l", + "name": "umol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -6.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "time_unit": null, + "data_type": "concentration", + "is_simulated": false + }, + { + "species_id": "slac_inactive", + "prepared": null, + "initial": 0.0, + "data_unit": { + "id": "mmol / l", + "name": "mmol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "time_unit": null, + "data_type": "concentration", + "is_simulated": false + } + ], + "group_id": null, + "ph": null, + "temperature": null, + "temperature_unit": null + }, + { + "id": "measurement23", + "name": "measurement7 - C9", + "species_data": [ + { + "species_id": "buffer", + "prepared": null, + "initial": 100.0, + "data_unit": { + "id": "mmol / l", + "name": "mmol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "time_unit": null, + "data_type": "concentration", + "is_simulated": false + }, + { + "species_id": "slac", + "prepared": null, + "initial": 0.079037949, + "data_unit": { + "id": "umol / l", + "name": "umol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -6.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "time_unit": null, + "data_type": "concentration", + "is_simulated": false + }, + { + "species_id": "abts", + "prepared": null, + "initial": 145.94299983431813, + "data_unit": { + "id": "umol / l", + "name": "umol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -6.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "data": [ + 145.94299983431813, + 141.17041766962583, + 137.8963768478369, + 135.79446242297243, + 133.34635032813026, + 131.29883839426228, + 129.33540303738883, + 127.21370588852562, + 125.517337305635, + 124.16716639272205, + 122.65378800681961 + ], + "time": [ + 0.0, + 87.0, + 175.0, + 262.0, + 350.0, + 449.0, + 540.0, + 629.0, + 720.0, + 809.0, + 899.0 + ], + "time_unit": { + "id": "s", + "name": "s", + "base_units": [ + { + "kind": "second", + "exponent": 1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "data_type": "concentration", + "is_simulated": false + }, + { + "species_id": "abts_radical", + "prepared": null, + "initial": 0.0, + "data_unit": { + "id": "umol / l", + "name": "umol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -6.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "time_unit": null, + "data_type": "concentration", + "is_simulated": false + }, + { + "species_id": "slac_inactive", + "prepared": null, + "initial": 0.0, + "data_unit": { + "id": "mmol / l", + "name": "mmol / l", + "base_units": [ + { + "kind": "mole", + "exponent": 1, + "multiplier": 1.0, + "scale": -3.0 + }, + { + "kind": "litre", + "exponent": -1, + "multiplier": 1.0, + "scale": 0.0 + } + ] + }, + "time_unit": null, + "data_type": "concentration", + "is_simulated": false + } + ], + "group_id": null, + "ph": null, + "temperature": null, + "temperature_unit": null + } + ] + } \ No newline at end of file diff --git a/tests/integration/test_petab.py b/tests/integration/test_petab.py new file mode 100644 index 00000000..bd5b4994 --- /dev/null +++ b/tests/integration/test_petab.py @@ -0,0 +1,282 @@ +import re +import tempfile +import pytest + +import pyenzyme as pe +from pyenzyme.petab.conditions import ConditionRow +from pyenzyme.petab.measurements import MeasurementRow +from pyenzyme.petab.observables import ObservableRow +from pyenzyme.petab.parameters import ParameterRow, PriorType + + +class TestPEtab: + def test_to_petab(self): + # Arrange + doc = pe.read_enzymeml("tests/fixtures/petab/enzmldoc_reaction.json") + + # Act + with tempfile.TemporaryDirectory() as tmp_dir: + meta = pe.to_petab(doc, tmp_dir) + problem = meta.problems[0] + sbml_path = problem.sbml_files[0] + condition_path = problem.condition_files[0] + observable_path = problem.observable_files[0] + measurement_path = problem.measurement_files[0] + + if isinstance(meta.parameter_file, list): + raise ValueError( + "Parameter file is a list, but should be a single file" + ) + else: + parameter_path = meta.parameter_file + + # Assert + expected_sbml = self._remove_uuid( + open("tests/fixtures/petab/abts_measurement_model.xml").read() + ) + expected_condition = open( + "tests/fixtures/petab/abts_measurement_conditions.tsv" + ).read() + expected_observable = open( + "tests/fixtures/petab/abts_measurement_observables.tsv" + ).read() + expected_measurement = open( + "tests/fixtures/petab/abts_measurement_measurements.tsv" + ).read() + expected_parameter = open( + "tests/fixtures/petab/abts_measurement_parameters.tsv" + ).read() + + assert expected_sbml == self._remove_uuid(sbml_path.read_text()) + assert expected_condition == condition_path.read_text() + assert expected_observable == observable_path.read_text() + assert expected_measurement == measurement_path.read_text() + assert expected_parameter == parameter_path.read_text() + + def _remove_uuid(self, s: str) -> str: + return re.sub( + r"[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}", + "", + s, + ) + + +class TestConditionRow: + def test_from_measurement(self): + # Arrange + measurement = pe.Measurement( + id="condition_1", + name="condition_1", + ) + + measurement.add_to_species_data( + species_id="species_1", + initial=1.0, + ) + + measurement.add_to_species_data( + species_id="species_2", + initial=2.0, + ) + + measurement.add_to_species_data( + species_id="species_3", + initial=None, + ) + + # Act + condition = ConditionRow.from_measurement(measurement) + + # Assert + assert condition.condition_id == "condition_1" + assert condition.condition_name == "condition_1" + assert condition.species["species_1"] == 1.0 + assert condition.species["species_2"] == 2.0 + assert "species_3" not in condition.species + + def test_to_row(self): + # Arrange + condition = ConditionRow( + conditionId="condition_1", + conditionName="condition_1", + species={ + "species_1": 1.0, + "species_2": 2.0, + }, + ) + + # Act + row = condition.to_row() + + # Assert + assert row["conditionId"] == "condition_1" + assert row["conditionName"] == "condition_1" + assert row["species_1"] == 1.0 + assert row["species_2"] == 2.0 + + +class TestMeasurementRow: + def test_from_measurement(self): + # Arrange + measurement = pe.Measurement( + id="measurement_1", + name="measurement_1", + ) + + measurement.add_to_species_data( + species_id="species_1", + initial=1.0, + data=[1.0, 2.0, 3.0], + time=[0.0, 1.0, 2.0], + ) + + # Act + meas_rows = MeasurementRow.from_measurement(measurement) + + # Assert + assert len(meas_rows) == 3 + + expected_data = [ + (0.0, 1.0), + (1.0, 2.0), + (2.0, 3.0), + ] + + for meas_row, (t, x) in zip(meas_rows, expected_data): + assert meas_row.observable_id == "species_1" + assert meas_row.condition_id == "measurement_1" + assert meas_row.measurement == x + assert meas_row.time == t + + +class TestObservableRow: + def test_from_enzymeml(self): + # Arrange + enzmldoc = pe.EnzymeMLDocument(name="test") + + # Add species + meas = enzmldoc.add_to_measurements( + id="measurement_1", + name="measurement_1", + ) + + meas.add_to_species_data( + species_id="species_1", + initial=1.0, + data=[1.0, 2.0, 3.0], + time=[0.0, 1.0, 2.0], + ) + + meas.add_to_species_data( + species_id="species_2", + initial=2.0, + data=[1.0, 2.0, 3.0], + time=[0.0, 1.0, 2.0], + ) + + # Not observable + meas.add_to_species_data( + species_id="species_3", + initial=3.0, + ) + + # Act + obs_rows = ObservableRow.from_enzymeml(enzmldoc) + obs_rows.sort(key=lambda x: x.observable_id) + + # Assert + assert len(obs_rows) == 2 + assert obs_rows[0].observable_id == "species_1" + assert obs_rows[1].observable_id == "species_2" + + def test_from_enzymeml_missing_observable(self): + # Arrange + enzmldoc = pe.EnzymeMLDocument(name="test") + + # Add species + meas1 = enzmldoc.add_to_measurements( + id="measurement_1", + name="measurement_1", + ) + + meas1.add_to_species_data( + species_id="species_1", + initial=1.0, + data=[1.0, 2.0, 3.0], + time=[0.0, 1.0, 2.0], + ) + + meas1.add_to_species_data( + species_id="species_2", + initial=2.0, + data=[1.0, 2.0, 3.0], + time=[0.0, 1.0, 2.0], + ) + + # Create a second measurement with a different species + meas2 = enzmldoc.add_to_measurements( + id="measurement_2", + name="measurement_2", + ) + + meas2.add_to_species_data( + species_id="species_1", + initial=1.0, + data=[1.0, 2.0, 3.0], + time=[0.0, 1.0, 2.0], + ) + + meas2.add_to_species_data( + species_id="species_3", + initial=3.0, + data=[1.0, 2.0, 3.0], + time=[0.0, 1.0, 2.0], + ) + + # Act + with pytest.raises(ValueError): + ObservableRow.from_enzymeml(enzmldoc) + + +class TestParameterRow: + def test_from_parameter_missing_bounds(self): + # Arrange + parameter = pe.Parameter( + id="parameter_1", + symbol="parameter_1", + name="parameter_1", + value=1.0, + ) + + # Act + with pytest.raises(ValueError): + ParameterRow.from_parameter(parameter) + + def test_from_parameter(self): + # Arrange + parameter = pe.Parameter( + id="parameter_1", + symbol="parameter_1", + name="parameter_1", + value=1.0, + lower_bound=0.0, + upper_bound=1.0, + ) + + # Act + parameter_row = ParameterRow.from_parameter(parameter) + + # Assert + assert parameter_row.parameter_id == "parameter_1" + assert parameter_row.parameter_name == "parameter_1" + assert parameter_row.parameter_scale == "lin" + assert parameter_row.lower_bound == 0.0 + assert parameter_row.upper_bound == 1.0 + assert parameter_row.nominal_value == 1.0 + assert parameter_row.estimate is True + assert ( + parameter_row.initialization_prior_type == PriorType.PARAMETER_SCALE_UNIFORM + ) + assert parameter_row.initialization_prior_parameters == [] + assert parameter_row.objective_prior_type == PriorType.PARAMETER_SCALE_UNIFORM + assert parameter_row.objective_prior_parameters == [] From 4c2dd7884e1b83a4bbe4130918b4850454a1b478 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Mon, 26 May 2025 01:20:39 +0200 Subject: [PATCH 146/172] fix 3.10 missing `Self` --- pyenzyme/petab/conditions.py | 8 +++++--- pyenzyme/petab/measurements.py | 10 ++++++---- pyenzyme/petab/observables.py | 4 ++-- pyenzyme/petab/parameters.py | 6 +++--- 4 files changed, 16 insertions(+), 12 deletions(-) diff --git a/pyenzyme/petab/conditions.py b/pyenzyme/petab/conditions.py index 51ccc909..0953c9b8 100644 --- a/pyenzyme/petab/conditions.py +++ b/pyenzyme/petab/conditions.py @@ -1,4 +1,4 @@ -from typing import Dict, Self, Any +from typing import Dict, Any from pydantic import Field from pyenzyme.versions import v2 @@ -35,14 +35,16 @@ def to_row(self) -> Dict[str, Any]: } @classmethod - def from_measurements(cls, measurements: list[v2.Measurement]) -> list[Self]: + def from_measurements( + cls, measurements: list[v2.Measurement] + ) -> list["ConditionRow"]: """ Creates a list of ConditionRow objects from a list of PyEnzyme Measurement objects. """ return [cls.from_measurement(measurement) for measurement in measurements] @classmethod - def from_measurement(cls, measurement: v2.Measurement) -> Self: + def from_measurement(cls, measurement: v2.Measurement) -> "ConditionRow": """ Creates a ConditionRow from a PyEnzyme Measurement object. diff --git a/pyenzyme/petab/measurements.py b/pyenzyme/petab/measurements.py index 25cd1f94..586f46d6 100644 --- a/pyenzyme/petab/measurements.py +++ b/pyenzyme/petab/measurements.py @@ -1,4 +1,4 @@ -from typing import List, Self, Union +from typing import List, Union from pydantic import Field from pyenzyme.versions import v2 @@ -58,7 +58,9 @@ class MeasurementRow(BaseRow): replicate_id: str | None = Field(alias="replicateId", default=None) @classmethod - def from_measurements(cls, measurements: list[v2.Measurement]) -> List[Self]: + def from_measurements( + cls, measurements: list[v2.Measurement] + ) -> List["MeasurementRow"]: """ Convert a list of EnzymeML Measurement objects to a list of PEtab MeasurementRow objects. """ @@ -69,7 +71,7 @@ def from_measurements(cls, measurements: list[v2.Measurement]) -> List[Self]: ] @classmethod - def from_measurement(cls, measurement: v2.Measurement) -> List[Self]: + def from_measurement(cls, measurement: v2.Measurement) -> List["MeasurementRow"]: """ Convert an EnzymeML Measurement object to a list of PEtab MeasurementRow objects. @@ -81,7 +83,7 @@ def from_measurement(cls, measurement: v2.Measurement) -> List[Self]: species concentration time series data. Returns: - List[Self]: A list of MeasurementRow objects, each representing a single + List["MeasurementRow"]: A list of MeasurementRow objects, each representing a single data point from the original measurement. Each row contains the species ID, measurement condition ID, the measured value, and the time point. diff --git a/pyenzyme/petab/observables.py b/pyenzyme/petab/observables.py index d3043ab0..00a5afc1 100644 --- a/pyenzyme/petab/observables.py +++ b/pyenzyme/petab/observables.py @@ -1,5 +1,5 @@ from enum import Enum -from typing import Optional, Self +from typing import List, Optional from pydantic import ConfigDict, Field from pyenzyme.versions import v2 @@ -38,7 +38,7 @@ class ObservableRow(BaseRow): ) @classmethod - def from_enzymeml(cls, enzmldoc: v2.EnzymeMLDocument) -> list[Self]: + def from_enzymeml(cls, enzmldoc: v2.EnzymeMLDocument) -> List["ObservableRow"]: """Extract observable rows from an EnzymeML document. Collects all species with data across measurements and creates observable rows. diff --git a/pyenzyme/petab/parameters.py b/pyenzyme/petab/parameters.py index 50b79892..108ca9d4 100644 --- a/pyenzyme/petab/parameters.py +++ b/pyenzyme/petab/parameters.py @@ -1,5 +1,5 @@ from enum import Enum -from typing import List, Optional, Self +from typing import List, Optional from pydantic import ConfigDict, Field, field_serializer, field_validator from pyenzyme.versions import v2 @@ -108,14 +108,14 @@ def validate_prior_parameters(cls, v: str) -> List[float]: return [float(x) for x in v.split(";")] @classmethod - def from_parameters(cls, parameters: list[v2.Parameter]) -> list[Self]: + def from_parameters(cls, parameters: List[v2.Parameter]) -> List["ParameterRow"]: """ Creates a list of ParameterRow objects from a list of PyEnzyme Parameter objects. """ return [cls.from_parameter(parameter) for parameter in parameters] @classmethod - def from_parameter(cls, parameter: v2.Parameter) -> Self: + def from_parameter(cls, parameter: v2.Parameter) -> "ParameterRow": """ Creates a ParameterRow from a PyEnzyme Parameter object. """ From 9d64c1106942df431bdde3f134267917e221943d Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Sun, 1 Jun 2025 11:57:22 +0200 Subject: [PATCH 147/172] add footer --- README.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/README.md b/README.md index 2bb0b931..325bb70b 100644 --- a/README.md +++ b/README.md @@ -137,3 +137,9 @@ docker run pyenzyme `PyEnzyme` is free and open-source software licensed under the [BSD 2-Clause License](https://github.com/EnzymeML/PyEnzyme/blob/main/LICENSE). + +--- + +
+Made with ❤️ by the EnzymeML Team +
\ No newline at end of file From 1ace1299085cb3ea4cdd6a68df5458be8c8aa002 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Sat, 14 Jun 2025 15:21:41 +0200 Subject: [PATCH 148/172] add `matplotlib` dep --- pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/pyproject.toml b/pyproject.toml index 2eda7cfc..911e3f45 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,6 +21,7 @@ httpx = ">=0.27" mdmodels = "^0.2.1" joblib = "^1.5.0" bokeh = "^3.7.3" +matplotlib = "^3.10" [tool.poetry.group.psyces.dependencies] pysces = "^1.2.3" From fc89c859f9ddd955da01d819be225bb01a179c7e Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 25 Jul 2025 19:09:40 +0200 Subject: [PATCH 149/172] Remove model rebuild loop from v2.py Deleted the loop that called model_rebuild() on several classes at the end of v2.py. This cleanup removes unnecessary code execution during module import. --- pyenzyme/versions/v2.py | 20 -------------------- 1 file changed, 20 deletions(-) diff --git a/pyenzyme/versions/v2.py b/pyenzyme/versions/v2.py index 2ed3f0d1..ff7f19b5 100644 --- a/pyenzyme/versions/v2.py +++ b/pyenzyme/versions/v2.py @@ -2431,23 +2431,3 @@ class DataTypes(Enum): TRANSMITTANCE = "transmittance" TURNOVER = "turnover" YIELD = "yield" - - -# Rebuild all the classes within this file -for cls in [ - EnzymeMLDocument, - Creator, - Vessel, - Protein, - Complex, - SmallMolecule, - Reaction, - ReactionElement, - ModifierElement, - Equation, - Variable, - Parameter, - Measurement, - MeasurementData, -]: - cls.model_rebuild() From d1d5ff02dd0b4e18306c9dd9507e2d2bd1269efe Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 25 Jul 2025 19:09:47 +0200 Subject: [PATCH 150/172] Handle empty XML string in extract_namespaces Updated extract_namespaces to raise ValueError when the input XML string is empty, improving input validation and error handling. --- pyenzyme/xmlutils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyenzyme/xmlutils.py b/pyenzyme/xmlutils.py index f4fa58af..25c954eb 100644 --- a/pyenzyme/xmlutils.py +++ b/pyenzyme/xmlutils.py @@ -143,7 +143,7 @@ def extract_namespaces(xml_string: str | None) -> set[str]: set[str]: A set of namespace URIs. """ - if xml_string is None: + if xml_string is None or xml_string == "": raise ValueError("No XML string provided") pattern = r"\{(.*)\}" From 3484638832bbccab00430ae9f1fc9f8aadf8a400 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 25 Jul 2025 19:10:06 +0200 Subject: [PATCH 151/172] Update XML fixture for EnzymeML compatibility Added EnzymeML namespace to the SBML root element and changed all speciesData 'type' attributes from uppercase 'CONCENTRATION' to lowercase 'concentration' for consistency and compatibility with EnzymeML standards. --- .../fixtures/petab/abts_measurement_model.xml | 242 +++++++++--------- 1 file changed, 121 insertions(+), 121 deletions(-) diff --git a/tests/fixtures/petab/abts_measurement_model.xml b/tests/fixtures/petab/abts_measurement_model.xml index f0d24d7c..bfdb5c0f 100644 --- a/tests/fixtures/petab/abts_measurement_model.xml +++ b/tests/fixtures/petab/abts_measurement_model.xml @@ -1,5 +1,5 @@ - + @@ -8,264 +8,264 @@ - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + - - - - - + + + + + From c240abbae1cad7b231383279b270ea29462e9d7a Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 25 Jul 2025 19:10:48 +0200 Subject: [PATCH 152/172] Improve SBML serialization and data type handling Adds XML namespaces and package requirements to SBML documents, refines data type mapping in v2.py to support both enum names and values, and ensures annotations exclude None values during XML serialization. Also sets default species data type to CONCENTRATION using enum value. --- pyenzyme/sbml/serializer.py | 12 ++++++++++-- pyenzyme/sbml/versions/v2.py | 12 ++++++------ 2 files changed, 16 insertions(+), 8 deletions(-) diff --git a/pyenzyme/sbml/serializer.py b/pyenzyme/sbml/serializer.py index 521ddfb2..68607213 100644 --- a/pyenzyme/sbml/serializer.py +++ b/pyenzyme/sbml/serializer.py @@ -66,6 +66,13 @@ def to_sbml( doc = deepcopy(enzmldoc) sbmldoc = libsbml.SBMLDocument() + + ns = libsbml.XMLNamespaces() + ns.add(NSMAP["enzymeml"], "enzymeml") + + sbmldoc.setNamespaces(ns) + sbmldoc.setPackageRequired("enzymeml", True) + model = sbmldoc.createModel() model.setName(doc.name) units = _assign_ids_to_units(tools.find_unique(doc, pe.UnitDefinition)) @@ -499,7 +506,8 @@ def _add_measurements(measurements: list[pe.Measurement]): if species_data.data_type is None: data_type = None else: - data_type = species_data.data_type.name + print(species_data.data_type) + data_type = species_data.data_type.value species_annot = v2.SpeciesDataAnnot( species_id=species_data.species_id, @@ -513,7 +521,7 @@ def _add_measurements(measurements: list[pe.Measurement]): annot.measurements.append(meas_annot) if not annot.is_empty(): - model.appendAnnotation(annot.to_xml(encoding="unicode")) + model.appendAnnotation(annot.to_xml(encoding="unicode", exclude_none=True)) def _create_condition_element( diff --git a/pyenzyme/sbml/versions/v2.py b/pyenzyme/sbml/versions/v2.py index f35d6069..e54dd517 100644 --- a/pyenzyme/sbml/versions/v2.py +++ b/pyenzyme/sbml/versions/v2.py @@ -370,7 +370,7 @@ def _map_species_data( ) @staticmethod - def _map_data_type(dtype: str): + def _map_data_type(dtype: str) -> str: """ Maps a string data type to a DataTypes enum value. @@ -383,10 +383,10 @@ def _map_data_type(dtype: str): Raises: ValueError: If the data type is not supported. """ - if data_type := getattr(DataTypes, dtype, None): - return data_type - else: - raise ValueError(f"Data type '{dtype}' not supported") + for data_type in DataTypes: + if data_type.value == dtype or data_type.name == dtype: + return data_type.value + raise ValueError(f"Data type '{dtype}' not supported") class SpeciesDataAnnot( @@ -410,7 +410,7 @@ class SpeciesDataAnnot( species_id: str = attr(name="species") initial: float | None = attr(name="value", default=None) - type: str | None = attr(name="type", default="CONCENTRATION") + type: str | None = attr(name="type", default=DataTypes.CONCENTRATION.value) unit: str = attr(name="unit") From 87a7753d8e217e39ab0429280dfaff96008ff7bc Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 25 Jul 2025 19:10:52 +0200 Subject: [PATCH 153/172] Fix ThinLayerPysces import path in test Updated the import statement in test_psyces.py to use the correct module path for ThinLayerPysces, ensuring tests run without import errors. --- tests/integration/test_psyces.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/integration/test_psyces.py b/tests/integration/test_psyces.py index ebbb6837..1a98c4b0 100644 --- a/tests/integration/test_psyces.py +++ b/tests/integration/test_psyces.py @@ -2,7 +2,7 @@ import pytest import pyenzyme as pe -from pyenzyme.thinlayers import ThinLayerPysces +from pyenzyme.thinlayers.psyces import ThinLayerPysces from pyenzyme.versions import v2 From 6a41af3b2a46a0189547f042dfd7579be1c7385a Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 25 Jul 2025 19:10:58 +0200 Subject: [PATCH 154/172] Remove redundant references type check in suite.py Eliminated unnecessary code that checked and converted 'references' to a list in the EnzymeMLSuite class. This simplifies the logic as the type check is no longer needed. --- pyenzyme/suite.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/pyenzyme/suite.py b/pyenzyme/suite.py index 96491036..217126dd 100644 --- a/pyenzyme/suite.py +++ b/pyenzyme/suite.py @@ -42,9 +42,6 @@ def get_current(self) -> pe.EnzymeMLDocument: content = response.json()["data"]["content"] - if not isinstance(content["references"], list): - content["references"] = [] - return pe.read_enzymeml_from_string(content) def update_current(self, doc: pe.EnzymeMLDocument): From 8651561f7cb289e82f1bc8195194bfd56944de06 Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Fri, 25 Jul 2025 19:11:04 +0200 Subject: [PATCH 155/172] Make Python version configurable in Dockerfile Introduced PYTHON_VERSION build argument to allow specifying the Python version when building the Docker image. --- Dockerfile | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/Dockerfile b/Dockerfile index 6c7549c0..2103ee9a 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,4 +1,5 @@ -FROM python:3.11.9-slim-bullseye +ARG PYTHON_VERSION=3.11.9 +FROM python:${PYTHON_VERSION}-slim-bullseye RUN apt-get update RUN pip install poetry From f92a394990fff057196b3ca625057cc7da05570a Mon Sep 17 00:00:00 2001 From: Jan Range <30547301+JR-1991@users.noreply.github.com> Date: Tue, 29 Jul 2025 14:40:36 +0200 Subject: [PATCH 156/172] Remove unused --- examples/Basic example/CreateEnzymeML.ipynb | 998 - 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"cells": [ - { - "cell_type": "markdown", - "id": "da2d0343-e5ae-4beb-8386-be55db5e3409", - "metadata": {}, - "source": [ - "$$\\require{mhchem}$$" - ] - }, - { - "cell_type": "markdown", - "id": "515b1663-1f09-4085-ade9-bacd0fcbcb74", - "metadata": {}, - "source": [ - "## Initializing an EnzymeML document\n", - "\n", - "In order to write an EnzymeML document it needs to be initialized by calling the ```EnzymeMLDocument``` object. At this point it is possible to add metadata such as a name, URL, DOI or PubmedID to the document. In addition, it is necessary but not mandatory to add author information. Please note, that for a Dataverse upload adding an author is mandatory though.\n", - "\n", - "\n", - "- ```EnzymeMLDocument``` is the container object that stores all experiment information based on sub classes.\n", - "- ```Creator``` carries the metadata about an author.\n", - "- ```addCreator``` adds a ```Creator``` object to the ```EnzymeMLdocument```" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "4957907c-c9c7-4258-a3c7-f1fd8af99307", - "metadata": {}, - "outputs": [], - "source": [ - "import pyenzyme as pe" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "b8876130-0057-466e-878f-5de0c7e7f871", - "metadata": {}, - "outputs": [], - "source": [ - "# Initialize the EnzymeML document\n", - "enzmldoc = pe.EnzymeMLDocument(name=\"Experiment\")\n", - "\n", - "# Add authors to the document\n", - "author = pe.Creator(given_name=\"Max\", family_name=\"Mustermann\", mail=\"max@mustermann.de\")\n", - "author_id = enzmldoc.addCreator(author)" - ] - }, - { - "cell_type": "markdown", - "id": "57d0e052-8f07-4b40-b73f-cd4e2e3e64c1", - "metadata": {}, - "source": [ - "-------" - ] - }, - { - "cell_type": "markdown", - "id": "822cd223-92dd-4194-90b8-7c32a80755df", - "metadata": {}, - "source": [ - "## Documentation of a simple single substrate reaction\n", - "\n", - "PyEnzyme is capable to document complete experiments from planning to execution, modelling and ultimately database upload. For this, consider a simple single substrate enzyme-catalyzed reaction, given in the following:\n", - "\n", - "
\n", - "\n", - "$$\n", - "\\ce{Substrate + Enzyme \\rightleftharpoons [ES] \\rightleftharpoons [EP] \\rightleftharpoons Product + Enzyme}\n", - "$$\n", - "\n", - "
\n", - "\n", - "In order to properly document each step, it is necessary to start with the definition of all entities. This is done by initializing the appropriate objects and their metadata. Since pyEnzyme is capable to report micro-kinetic models, it is possible to define intermediates that may not be directly observable, such as Enzyme-Substrate complexes. This facilitates mathematical modeling based on differential equations and time-course data and offers a flexible way that is independent of existing models.\n", - "\n", - "**The next steps involve definition of the following entities:**\n", - "\n", - "| Type | Name |\n", - "|----------|--------------------------|\n", - "| Vessel | Eppendorf Tube |\n", - "| Protein | Enzyme |\n", - "| Reactant | Substrate |\n", - "| Reactant | Product |\n", - "| Complex | ES |\n", - "| Complex | EP |\n", - "\n", - "\n", - "Tips and hints:\n", - "\n", - "- Use the addXYZ-functions to append information to an EnzymeML document\n", - "- Add-Methods return the identifier, which can later be used to build reactions and models. Thus it is best when these are stored in a variable or data structure\n", - "- PyEnzyme takes care of type checking and validation. Furthermore, technicalities such as unit-decomposition (used to convert unit scales properly) and identifier assignment are done within the backend. Hence, focus on what matters." - ] - }, - { - "cell_type": "markdown", - "id": "b1293c5f-00f6-482a-85b8-fc3f1977060c", - "metadata": {}, - "source": [ - "### Vessels\n", - "\n", - "- ```Vessel``` carries the metadata for vessels that are used.\n", - "- ```addVessel``` adds a ```Vessel``` object to the document and returns the ID." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "3ba4e647-86c6-418f-ac76-03c87d7b7881", - "metadata": {}, - "outputs": [], - "source": [ - "vessel = pe.Vessel(name=\"Eppendorf Tube\", volume=10.0, unit=\"ml\")\n", - "vessel_id = enzmldoc.addVessel(vessel)" - ] - }, - { - "cell_type": "markdown", - "id": "3288f19a-56ca-4d33-bf71-ebf91fa9a49f", - "metadata": {}, - "source": [ - "### Proteins\n", - "\n", - "- ```Protein``` carries the metadata for proteins that are part of the experiment.\n", - "- ```addProtein``` adds a ```Protein``` object to the document and returns the ID." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "bf7f9b8a-c150-4ea6-873c-19b355f84cfa", - "metadata": {}, - "outputs": [], - "source": [ - "enzyme = pe.Protein(name=\"Enzyme\", vessel_id=vessel_id, sequence=\"MAVKLT\", constant=False)\n", - "enzyme_id = enzmldoc.addProtein(enzyme)" - ] - }, - { - "cell_type": "markdown", - "id": "e6dc7af3-f9b5-4a26-8cee-d6da1da662c9", - "metadata": {}, - "source": [ - "### Reactants\n", - "\n", - "- ```Reactant``` carries the metadata for reactants that are part of the experiment.\n", - "- ```addReactant``` adds a ```Reactant``` object to the document and returns the ID." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "9dad2554-ae10-4d8d-ac26-e493a711effa", - "metadata": {}, - "outputs": [], - "source": [ - "substrate = pe.Reactant(name=\"Substrate\", vessel_id=vessel_id)\n", - "substrate_id = enzmldoc.addReactant(substrate)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "0eb707b4-f5ff-4c84-8e2d-0395f06f721d", - "metadata": {}, - "outputs": [], - "source": [ - "product = pe.Reactant(name=\"Product\", vessel_id=vessel_id)\n", - "product_id = enzmldoc.addReactant(product)" - ] - }, - { - "cell_type": "markdown", - "id": "2548347a-2ea9-483e-b4b0-93872a368f08", - "metadata": {}, - "source": [ - "### Complexes\n", - "\n", - "- ```Complex``` carries the metadata for complexes that are part of the experiment.\n", - "- ```addComplex``` adds a ```Complex``` object to the document and returns the ID." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "9f3f4320-eb9b-4525-80b7-1137191ffda4", - "metadata": {}, - "outputs": [], - "source": [ - "es_complex_id = enzmldoc.addComplex(\n", - " name=\"ES\",\n", - " vessel_id=vessel_id,\n", - " participants=[enzyme_id, substrate_id]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "747b66d3-1f49-4b5a-b28b-8346a67f3b8a", - "metadata": {}, - "outputs": [], - "source": [ - "ep_complex_id = enzmldoc.addComplex(\n", - " name=\"EP\",\n", - " vessel_id=vessel_id, \n", - " participants=[enzyme_id, product_id]\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "fda559b4-0db1-4ca5-b689-f326086c2c3d", - "metadata": {}, - "source": [ - "--------" - ] - }, - { - "cell_type": "markdown", - "id": "92533a99-869a-41a8-927e-edbb3187e037", - "metadata": {}, - "source": [ - "## Building the reaction network\n", - "\n", - "In order for the micro-kinetic model to be accessible to various modeling platforms and EnzymeML, each reaction in the model has to be documented. Similar to the previous step, this involves the creation of ```EnzymeReaction``` objects which will be added to the EnzymeML document. Hence, the following part-reactions need to be defined:\n", - "\n", - "1. $\\ce{Substrate + Enzyme \\rightleftharpoons [ES] }$\n", - "\n", - "2. $\\ce{[ES] \\rightleftharpoons [EP]}$\n", - "\n", - "3. $\\ce{[EP] \\rightleftharpoons Product + Enzyme}$\n", - "\n", - "**Tips and hints:**\n", - "\n", - "- Add-methods require the ```EnzymeMLDocument``` object to be added. This is necessary to check, whether given identifiers already exist to mitigate later errors.\n", - "- Similar to the other add-methods, ```addReaction```returns the given identifier. Thus it is best to store these in variables or data structures too.\n", - "- At this point, kinetic laws can be added to the reaction, but in this example we'll add them afterwards." - ] - }, - { - "cell_type": "markdown", - "id": "2beb8fd7-0c8c-4c16-9130-65dcc00ad1fc", - "metadata": {}, - "source": [ - "### Creating reactions from equations\n", - "\n", - "PyEnzyme offers two ways of creating `EnzymeReaction` objects:\n", - "\n", - "- By using an equation that either includes the ID or name of a Reactant/Protein/Complex\n", - "- By using `add`-methods to build up all elements\n", - "\n", - "Both methods will result in the same `EnzymeReaction` object, but both might shine individually in different contexts. For instance, when working on a single experiment using a Jupyter Notebook, initialization by equation improves readability and reduces boilerplate code. On the other hand, if your application is meant to maintain a variety of reaction i.e. using PyEnzyme as a backend for an Electronic Lab Notebook, using the `add`-methods should prove to be more flexible and safe than manipulating string." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "6dd1d5aa-8e6c-4eb7-97d6-26f6b11dfb36", - "metadata": {}, - "outputs": [], - "source": [ - "# Setting up by equation\n", - "reaction_1 = pe.EnzymeReaction.fromEquation(\"Substrate + Enzyme = ES\", \"reaction-1\", enzmldoc)\n", - "reaction_2 = pe.EnzymeReaction.fromEquation(\"ES = EP\", \"reaction-2\", enzmldoc)\n", - "reaction_3 = pe.EnzymeReaction.fromEquation(\"EP = Product\", \"reaction-3\", enzmldoc)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "9d1ec57d-9047-461e-bd4d-71760fdac466", - "metadata": {}, - "outputs": [], - "source": [ - "# Setting up via add-methods (only for reaction 1 for demo)\n", - "reaction_1 = pe.EnzymeReaction(name=\"reaction-1\", reversible=True)\n", - "\n", - "# Add each element\n", - "reaction_1.addEduct(species_id=substrate_id, stoichiometry=1.0, enzmldoc=enzmldoc)\n", - "reaction_1.addEduct(species_id=enzyme_id, stoichiometry=1.0, enzmldoc=enzmldoc)\n", - "reaction_1.addProduct(species_id=product_id, stoichiometry=1.0, enzmldoc=enzmldoc)" - ] - }, - { - "cell_type": "markdown", - "id": "2656402d-9f60-419d-8a97-9548e097770c", - "metadata": {}, - "source": [ - "### Adding the reaction to the document\n", - "\n", - "- ```addReaction``` adds an ```EnzymeReaction``` object to the document and returns the ID. (not used here)\n", - "- ```addReactions``` adds multiples of ```EnzymeReaction``` objects to the document and returns an ID mapping. (used here)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "bca45e1e-7fcd-48e1-9c5e-504aa248ef10", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'reaction-1': 'r0', 'reaction-2': 'r1', 'reaction-3': 'r2'}" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Finally, add al reactions to the document\n", - "reaction_ids = enzmldoc.addReactions([reaction_1, reaction_2, reaction_3])\n", - "reaction_ids" - ] - }, - { - "cell_type": "markdown", - "id": "282cc8b0-7e45-47c4-aa9c-3b7a07f6c03a", - "metadata": {}, - "source": [ - "--------" - ] - }, - { - "cell_type": "markdown", - "id": "88cad3cc-6bef-47d8-8d44-0f53d8a4f22e", - "metadata": {}, - "source": [ - "## Documenting measurement setups\n", - "\n", - "Now that the theoretical foundation of the experiment has been laid out, it is time to specify the setup of the measurement. PyEnzyme offers a lab-like system to document such setups. Typically, experiments involve multiple runs with varying initial concentrations of every element that occurs in the reaction network or/and varying conditions such as temperature and pH. Hence, PyEnzyme builts on top of a **measurement** system, where each of these represent a 'run'.\n", - "\n", - "In this example, the following setups will be tracked including changing initial concentrations and temperatures:\n", - "\n", - "| Measurement Name | Species | Initial concentration | Unit | Temperature | pH |\n", - "|------------------|-----------|-----------------------|-----------|-------------|-----|\n", - "| Run 1 | Substrate | 10.0 | mmole / l | 37.0 °C | 7.4 |\n", - "| Run 1 | Enzyme | 20.0 | fmole / l | 37.0 °C | 7.4 |\n", - "| Run 1 | Product | 0.0 | mmole / l | 37.0 °C | 7.4 |\n", - "| Run 2 | Substrate | 100.0 | mmole / l | 39.0 °C | 7.4 |\n", - "| Run 2 | Enzyme | 40.0 | fmole / l | 39.0 °C | 7.4 |\n", - "| Run 2 | Product | 0.0 | mmole / l | 39.0 °C | 7.4 |\n" - ] - }, - { - "cell_type": "markdown", - "id": "21624256-889c-4a3a-ba57-d2d5df19fb12", - "metadata": {}, - "source": [ - "### Measurement 1: 'Run 1'\n", - "\n", - "- ```Measurement``` carries the metadata for measurements that are conducted in the experiment.\n", - "- ```addData``` appends measurement data to the ```Measurement``` object and checks consistency." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "7fd82ddb-a48e-49fa-8db8-11a006dcacc0", - "metadata": {}, - "outputs": [], - "source": [ - "measurement_1 = pe.Measurement(\n", - " name=\"Run 1\", temperature=37.0, temperature_unit=\"C\",\n", - " ph=7.4, global_time_unit=\"mins\"\n", - ")\n", - "\n", - "# Add each entity that will be measured\n", - "measurement_1.addData(reactant_id=substrate_id, init_conc=10.0, unit=\"mmole / l\")\n", - "measurement_1.addData(reactant_id=product_id, unit=\"mmole / l\")\n", - "measurement_1.addData(protein_id=enzyme_id, init_conc=20.0, unit=\"fmole / l\")\n", - "\n", - "# Add it to the EnzymeML document\n", - "meas_1_id = enzmldoc.addMeasurement(measurement_1)" - ] - }, - { - "cell_type": "markdown", - "id": "e7707c8a-5d04-4e53-92cf-d8c45e29c935", - "metadata": {}, - "source": [ - "### Measurement 2: 'Run 2'\n", - "\n", - "- ```Measurement``` carries the metadata for measurements that are conducted in the experiment.\n", - "- ```addData``` appends measurement data to the ```Measurement``` object and checks consistency." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "9703ba7b-6199-4cb7-87f9-178700bb9131", - "metadata": {}, - "outputs": [], - "source": [ - "measurement_2 = pe.Measurement(\n", - " name=\"Run 2\", temperature=39.0, temperature_unit=\"C\",\n", - " ph=7.4, global_time_unit=\"mins\"\n", - ")\n", - "\n", - "# Add each entity that will be measured\n", - "measurement_2.addData(reactant_id=substrate_id, init_conc=100.0, unit=\"mmole / l\")\n", - "measurement_2.addData(reactant_id=product_id, unit=\"mmole / l\")\n", - "measurement_2.addData(protein_id=enzyme_id, init_conc=40.0, unit=\"fmole / l\")\n", - "\n", - "# Add it to the EnzymeML document\n", - "meas_2_id = enzmldoc.addMeasurement(measurement_2)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "c181f7ea-063c-48ee-9342-dc5e5e3a877f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - ">>> Measurement m0: Run 1\n", - " s0 | initial conc: 10.0 mmole / l \t| #replicates: 0\n", - " s1 | initial conc: 0.0 mmole / l \t| #replicates: 0\n", - " p0 | initial conc: 20.0 fmole / l \t| #replicates: 0\n", - ">>> Measurement m1: Run 2\n", - " s0 | initial conc: 100.0 mmole / l \t| #replicates: 0\n", - " s1 | initial conc: 0.0 mmole / l \t| #replicates: 0\n", - " p0 | initial conc: 40.0 fmole / l \t| #replicates: 0\n", - "None\n" - ] - } - ], - "source": [ - "# Check the measurement table\n", - "print(enzmldoc.printMeasurements())" - ] - }, - { - "cell_type": "markdown", - "id": "a1a275a1-d098-4d47-8168-b34ab3aee384", - "metadata": {}, - "source": [ - "--------" - ] - }, - { - "cell_type": "markdown", - "id": "0f0f54d9-17a8-41cf-ba68-41d761d9d9f0", - "metadata": {}, - "source": [ - "## Adding experimental raw data\n", - "\n", - "After the setup has been defined in terms of measurements, the actual time-course data can be generated and added to the documemnt. PyEnzyme offers a ```Replicate``` class as a container for raw data that aside from raw data carries metadata describing the replicate itself.\n", - "\n", - "In the following example, replication data will be hard-coded and added to our measurement of choice. For this our digital lab measured the product formation as well as substrate depletion for each measurement setup." - ] - }, - { - "cell_type": "markdown", - "id": "bfe87c90-2c79-4daf-a99c-f302d37f2adc", - "metadata": {}, - "source": [ - "### Data for 'Run 1'\n", - "\n", - "- ```Replicate``` carries the tim-courses and metadata for each measured entity.\n", - "- ```addReplicates``` adds ```Replicate``` objects to a measurement to the corresponding ```MeasurementData``` container where the concentrations are also stored." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "4e465270-f8d1-49d1-92a7-349352c78a92", - "metadata": {}, - "outputs": [], - "source": [ - "repl_substrate_1 = pe.Replicate(\n", - " id=\"repl_substrate_1\",\n", - " species_id=substrate_id,\n", - " data_unit=\"mmole / l\",\n", - " time_unit=\"min\",\n", - " time=[1,2,3,4,5,6],\n", - " data=[5,4,3,2,1,0]\n", - ")\n", - "\n", - "repl_product_1 = pe.Replicate(\n", - " id=\"repl_product_1\",\n", - " species_id=product_id,\n", - " data_unit=\"mmole / l\",\n", - " time_unit=\"min\",\n", - " time=[1,2,3,4,5,6],\n", - " data=[0,1,2,3,4,5]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "783314be-2b6b-443c-bf79-5aca8ddff9af", - "metadata": {}, - "outputs": [], - "source": [ - "# Add it to the first measurement 'Run 1'\n", - "measurement = enzmldoc.getMeasurement(meas_1_id)\n", - "measurement.addReplicates([repl_product_1, repl_substrate_1], enzmldoc=enzmldoc)" - ] - }, - { - "cell_type": "markdown", - "id": "e7602d58-29a3-4a8a-93bf-40bedc1f82bb", - "metadata": {}, - "source": [ - "### Data for 'Run 2'\n", - "\n", - "- ```Replicate``` carries the tim-courses and metadata for each measured entity.\n", - "- ```addReplicates``` adds ```Replicate``` objects to a measurement to the corresponding ```MeasurementData``` container where the concentrations are also stored." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "05145bde-8a9e-425e-992f-509575c3b86f", - "metadata": {}, - "outputs": [], - "source": [ - "repl_substrate_2 = pe.Replicate(\n", - " id=\"repl_substrate_2\",\n", - " species_id=substrate_id,\n", - " data_unit=\"mmole / l\",\n", - " time_unit=\"min\",\n", - " time=[1,2,3,4,5,6],\n", - " data=[50,40,30,20,10,0]\n", - ")\n", - "\n", - "repl_product_2 = pe.Replicate(\n", - " id=\"repl_product_2\",\n", - " species_id=product_id,\n", - " data_unit=\"mmole / l\",\n", - " time_unit=\"min\",\n", - " time=[1,2,3,4,5,6],\n", - " data=[0,10,20,30,40,50]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "d256acef-a8f5-4ee4-a483-5763494e4042", - "metadata": {}, - "outputs": [], - "source": [ - "# Add it to the first measurement 'Run 2'\n", - "measurement = enzmldoc.getMeasurement(meas_2_id)\n", - "measurement.addReplicates([repl_product_2, repl_substrate_2], enzmldoc=enzmldoc)" - ] - }, - { - "cell_type": "markdown", - "id": "e0a10524-557e-44c1-9fd3-3eba2d8b960c", - "metadata": {}, - "source": [ - "-----" - ] - }, - { - "cell_type": "markdown", - "id": "d87eb5c2-6976-4e0d-977d-5f95836e8516", - "metadata": {}, - "source": [ - "## Saving and distributing an EnzymeML document\n", - "\n", - "Finally, the experiment has been finished and meta- as well as raw-data been documented. In order to make the data exchangeable, PyEnzyme offers several options for data export. First and foremost, the complete experiment can be exported to EnzymeML which is SBML compatible and thus accessible by SBML-based modeling tools (e.g. COPASI, PySCeS). Furthermore, in regard of the web, PyEnzyme offers a JSON export too.\n", - "\n", - "Apart from raw exports, PyEnzyme can also interface with the federated databases system Dataverse by providing a simple upload method that automatically uploads and processes the document contents to a Dataverse compatible format. Please note, the Dataverse must support the 'EnzymeML' metadatablock for a successful upload.\n" - ] - }, - { - "cell_type": "markdown", - "id": "1b5a7d92-f997-4c17-817e-64f1427f6466", - "metadata": {}, - "source": [ - "### Export\n", - "\n", - "- ```toFile``` writes the EnzymeML document to an OMEX archive at the specified path.\n", - "- ```json``` converts the EnzymeML document to a JSON string, which in turn can be used for REST interfaces or data storage.\n", - "- ```toXMLString``` returns the XML representation that is also found in the OMEX archive." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "3aadf496-dee7-43a1-917a-207244398943", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Archive was written to ./My_Experiment.omex\n", - "\n" - ] - } - ], - "source": [ - "# To an OMEX archive\n", - "enzmldoc.toFile(\".\", name=\"My_Experiment\")\n", - "\n", - "# To a JSON string\n", - "with open(\"My_Experiment.json\", \"w\") as file_handle:\n", - " file_handle.write(enzmldoc.json(indent=2))\n", - " \n", - "# To an XML string\n", - "xml_string = enzmldoc.toXMLString()" - ] - }, - { - "cell_type": "markdown", - "id": "5decfe8a-bb2d-460d-86c9-9e700162afb9", - "metadata": {}, - "source": [ - "### Upload\n", - "\n", - "- ```uploadToDataverse``` uploads the document to a Dataverse installation.\n", - "- Please note, that in order to work, your environment should contain these variables\n", - " - ```DATAVERSE_URL```: The URL to your installation.\n", - " - ```DATAVERSE_API_TOKEN```: The API Token to access the dataverse." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "cb6ae2f2-32bb-4ffd-b255-bf171725e645", - "metadata": {}, - "outputs": [], - "source": [ - "# Uncomment if you want to use this on your own Dataverse\n", - "# enzmldoc.uploadToDataverse(dataverse_name=\"playground\")" - ] - }, - { - "cell_type": "markdown", - "id": "99daaf82-a235-4238-89ce-d077e6ea39df", - "metadata": {}, - "source": [ - "-------" - ] - }, - { - "cell_type": "markdown", - "id": "e99a7220-d586-44bc-8507-cef3ee1de231", - "metadata": {}, - "source": [ - "## Loading an EnzymeML document\n", - "\n", - "It is not expected to create an EnzymeML document in a single session, but to let it evolve over the course of an experiment. Thus it is necessary to load and edit an EnzymeML document, without re-creating everything from start. PyEnzyme's ```EnzymeMLDocument``` object offers an initialization method ```fromFile``` to edit an already existing document. In addition, it is also possible to use the aforementioned JSON \n", - "\n", - "**Tips and hints:**\n", - "\n", - "- PyEnzyme stores a history in the document, which keeps track of what has been changed and added in the course of an experiment. This is done, to spot potential errors and facilitate the documentation of an experiment's lifeline." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "1077c6d7-683e-4c2e-993c-e7f6f5c5ffd6", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Experiment\n", - ">>> Reactants\n", - "\tID: s0 \t Name: Substrate\n", - "\tID: s1 \t Name: Product\n", - ">>> Proteins\n", - "\tID: p0 \t Name: Enzyme\n", - ">>> Complexes\n", - "\tID: c0 \t Name: ES\n", - "\tID: c1 \t Name: EP\n", - ">>> Reactions\n", - "\tID: r0 \t Name: reaction-1\n", - "\tID: r1 \t Name: reaction-2\n", - "\tID: r2 \t Name: reaction-3\n", - ">>> Measurements\n", - ">>> Measurement m0: Run 1\n", - " s0 | initial conc: 10.0 mmole / l \t| #replicates: 1\n", - " s1 | initial conc: 0.0 mmole / l \t| #replicates: 1\n", - " p0 | initial conc: 20.0 fmole / l \t| #replicates: 0\n", - ">>> Measurement m1: Run 2\n", - " s0 | initial conc: 100.0 mmole / l \t| #replicates: 1\n", - " s1 | initial conc: 0.0 mmole / l \t| #replicates: 1\n", - " p0 | initial conc: 40.0 fmole / l \t| #replicates: 0\n" - ] - } - ], - "source": [ - "# Load an EnzymeML document from OMEX\n", - "enzmldoc = pe.EnzymeMLDocument.fromFile(\"./My_Experiment.omex\")\n", - "\n", - "# Load an EnzymeML document from JSON \n", - "json_string = open(\"My_Experiment.json\").read()\n", - "enzmldoc = enzmldoc.fromJSON(json_string)\n", - "\n", - "enzmldoc.printDocument(measurements=True)" - ] - }, - { - "cell_type": "markdown", - "id": "8d2970a9-37a3-4125-85ef-23df5d302bda", - "metadata": {}, - "source": [ - "#### Special case: From the EnzymeML spreadsheet template\n", - "\n", - "Apart from programmatic creation of an EnzymeML document, PyEnzyme offers a way to convert the 'EnzymeML spreadsheet template' to an OMEX file. Since spreadsheets are the bread and butter of current lab documentation, the template widely covers the data model and thus provides an easy access to EnzymeML's capabilities." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "98715329-b341-4bfd-b749-1e2647f7fdd0", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pyruvate Decarboxylation\n", - ">>> Reactants\n", - "\tID: s0 \t Name: Pyruvate\n", - "\tID: s1 \t Name: Acetaldehyde\n", - "\tID: s2 \t Name: CO2\n", - ">>> Proteins\n", - "\tID: p0 \t Name: Pyruvate decarboxylase isozyme 1\n", - ">>> Complexes\n", - ">>> Reactions\n", - "\tID: r0 \t Name: Pyruvate decarboxylation\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/opt/homebrew/Caskroom/miniforge/base/envs/enzymeml/lib/python3.9/site-packages/openpyxl/worksheet/_reader.py:315: UserWarning: Data Validation extension is not supported and will be removed\n", - " warn(msg)\n" - ] - } - ], - "source": [ - "# Similar to the OMEX and JSON loaders, its a simple call\n", - "enzmldoc = pe.EnzymeMLDocument.fromTemplate(\"EnzymeML_Template_Example.xlsm\")\n", - "enzmldoc.printDocument()" - ] - }, - { - "cell_type": "markdown", - "id": "81201665-aebe-4db2-bbe1-de9f78edc8a2", - "metadata": {}, - "source": [ - "--------" - ] - }, - { - "cell_type": "markdown", - "id": "65b3a935-9b0d-4266-9aab-001f96241fe6", - "metadata": {}, - "source": [ - "## Editing EnzymeML: Kinetic Modeling\n", - "\n", - "Building on top of the previous section about loading an EnzymeML document, this example will demonstrate how to interact with an already created EnzymeML document using the OMEX loader. Since the purpose of an experiment is to generate data from a theory, modeling takes care of the interpretation of an experiment outcome. However, PyEnzyme and EnzymeML are no modeling platforms, but provides a convenient way to interface to such. Hence, this example will demonstrate how such an interfacing could look like.\n", - "\n", - "The enzyme-catalyzed reaction that has been reported in the course of this example obviously follows a simple Michaelis-Menten-Kinetic and thus will be reported as such. But first of all, the next part will demonstrate how measurement data can be exported to be used by a modeling framework/platform.\n", - "\n", - "First, load the EnzymeML document:" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "5e072f24-fb24-4b10-b5a5-fbb2d96bdba7", - "metadata": {}, - "outputs": [], - "source": [ - "# Load the EnzymeML document\n", - "enzmldoc = pe.EnzymeMLDocument.fromFile(\"My_Experiment.omex\")" - ] - }, - { - "cell_type": "markdown", - "id": "34e176e2-4eea-4382-89f0-3fb71a3c1757", - "metadata": {}, - "source": [ - "In order to get the measurement data given in the document, the ```EnzymeMLDocument``` object offers the ```exportMeasurementData```-method which will export the data of 'all' or specified measurements to a Pandas DataFrame object." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "4bd1484a-cc6e-457d-9a11-519ff5e87a51", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " s0 s1 time\n", - "0 5.0 0.0 1.0\n", - "1 4.0 1.0 2.0\n", - "2 3.0 2.0 3.0\n", - "3 2.0 3.0 4.0\n", - "4 1.0 4.0 5.0\n", - "5 0.0 5.0 6.0" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Get the data from measurement \"m0\" ...\n", - "meas_data = enzmldoc.exportMeasurementData(measurement_ids=\"m0\")\n", - "\n", - "# Which is a dict containing \"data\" and \"initConc\" information, where data is the part we want\n", - "meas_data = meas_data[\"data\"]\n", - "meas_data" - ] - }, - { - "cell_type": "markdown", - "id": "92f177f5-505a-4a84-8444-9a2c669bf44e", - "metadata": {}, - "source": [ - "The given output could now be used for an optimizer in conjunction with the metadata that is given in the EnzymeML document. In order to gather stoichiometries and such, one can access other data in the document by specifically exporting the desired reactions:" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "77d96541-20ff-4b44-acba-35a1b31a0750", - "metadata": {}, - "outputs": [], - "source": [ - "for reaction in enzmldoc.reaction_dict.values():\n", - " # Every entity of an EnzymeML document is stored in its corresponding\n", - " # dictionary. This example serves as a get-go solution to access all\n", - " # other objects\n", - " \n", - " educts = reaction.educts\n", - " products = reaction.products\n", - " \n", - " # From this point on, a modeling framework/platform could derive important metadata" - ] - }, - { - "cell_type": "markdown", - "id": "146d4c3b-8ac3-4e5a-928c-ec03782efabc", - "metadata": {}, - "source": [ - "Assuming the modeling has now been done, the estimated parameters for the desired reactions can now be added to each reaction. Since this is an example for demonstration, this will only be carried out for the first reaction by using a Michaelis-Menten-Model." - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "634e60e5-983b-491e-9de0-7e46a39af2b9", - "metadata": {}, - "outputs": [], - "source": [ - "from pyenzyme.enzymeml.models import MichaelisMentenKCat\n", - "\n", - "# Get the appropriate IDs by using the getter-methods\n", - "substrate = enzmldoc.getReactant(\"Substrate\")\n", - "enzyme = enzmldoc.getProtein(\"Enzyme\")\n", - "\n", - "# Create the model\n", - "model = MichaelisMentenKCat(\n", - " substrate=substrate.id,\n", - " protein=enzyme.id,\n", - " k_cat={\"value\": 10.0, \"unit\": \"1 / s\"},\n", - " k_m={\"value\": 20.0, \"unit\": \"mmole / l\"},\n", - " enzmldoc=enzmldoc\n", - ")\n", - "\n", - "# Add it to 'Reaction 1'\n", - "reaction = enzmldoc.getReaction(\"reaction-1\")\n", - "reaction.model = model" - ] - }, - { - "cell_type": "markdown", - "id": "221cdf6e-6289-43be-852f-0569e549da67", - "metadata": {}, - "source": [ - "Finally, write the EnzymeML document to an OMEX file or upload it to a database, such as described in the corresponding section. Please note, that this is a minimal example to demonstrate the capabilities of PyEnzyme. However, if you like to inspect an actual interface implementation to modeling platforms, please inspect the Thin Layer implementations for **COPASI** and **PySCeS** in the [GitHub](https://github.com/EnzymeML/PyEnzyme) repository and examples in the [\"EnzymeML at Work\"](https://github.com/EnzymeML/Lauterbach_2022/tree/main/Scenario5) repository." - ] - }, - { - "cell_type": "markdown", - "id": "52ed8838-072c-4748-91ba-0eed41cb8232", - "metadata": {}, - "source": [ - "--------" - ] - } - ], - "metadata": { - "interpreter": { - "hash": "a665b5d41d17b532ea9890333293a1b812fa0b73c9c25c950b3cedf1bebd0438" - }, - "kernelspec": { - "display_name": "enzymeml", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.10" - } - }, - "nbformat": 4, - 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z1Nheh^4Q(#0WeGMZvg-L33%+m^Z=M4|2Kett&JZ$1w8p{O0jx2Azbrt%_kNrN^gjUf CY5_d} diff --git a/examples/Dataverse/UploadToDataverse.ipynb b/examples/Dataverse/UploadToDataverse.ipynb deleted file mode 100644 index c7fc1d96..00000000 --- a/examples/Dataverse/UploadToDataverse.ipynb +++ /dev/null @@ -1,86 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "fdc272bd-5594-4b41-8c7e-2ba1af60db37", - "metadata": {}, - "source": [ - "# Upload to Dataverse\n", - "\n", - "PyEnzyme offers the upload to any Dataverse installation that supports the official [EnzymeML metadatablock](https://doi.org/10.18419/darus-2105) by utilizing the Dataverse API [PyDaRUS](https://github.com/JR-1991/pyDaRUS) to map all relevant fields and perform upload. The following steps will be done in this example:\n", - "\n", - "- Convert an EnzymeML spreadsheet to an `EnzymeMLDocument`\n", - "- Upload the dataset to Dataverse" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0f8f8f98-4ff0-4c04-bf88-a3ffc43e27ca", - "metadata": {}, - "outputs": [], - "source": [ - "import pyenzyme as pe" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "943dc442-fa97-4ef6-89d6-bc4c7f1788b2", - "metadata": {}, - "outputs": [], - "source": [ - "# Load the EnzymeMLDocument\n", - "enzmldoc = pe.EnzymeMLDocument.fromTemplate(\"EnzymeML_Template_Example.xlsm\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4119ab0f-6b4c-4b74-8a52-09f940684dae", - "metadata": {}, - "outputs": [], - "source": [ - "# Upload it to Dataverse (Dataset is private)\n", - "enzmldoc.uploadToDataverse(dataverse_name=\"playground\")" - ] - }, - { - "cell_type": "markdown", - "id": "c749b3af-3de0-429a-b23e-e474bb7e2f4c", - "metadata": {}, - "source": [ - "For reasons of data quality, the resulting dataset can't be viewed on the web. In order to visit examples that have utilized the method, see the [EnzymeML at Work](https://darus.uni-stuttgart.de/dataverse/enzymeml_at_work) collection." - ] - }, - { - "cell_type": "markdown", - "id": "9cff7bbb-9186-4c21-8bad-813291d29b33", - "metadata": {}, - "source": [ - "------" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "enzymeml", - "language": "python", - "name": "enzymeml" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.10" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/ThinLayers/3IZNOK_TEST.xml-sbml_conversion_errors.txt b/examples/ThinLayers/3IZNOK_TEST.xml-sbml_conversion_errors.txt deleted file mode 100644 index 79ffaee8..00000000 --- a/examples/ThinLayers/3IZNOK_TEST.xml-sbml_conversion_errors.txt +++ /dev/null @@ -1 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MAMRIRIDLPQDEIPAQWYNILPDLPEELPPPQDPTGKSLELLKEVLPSKVLELEFAKERYVKIPDEVLERYLQVGRPTPIIRAKRLEEYLGNNIKIYLKMESYTYTGSHKINSALAHVYYAKLDNAKFVTTETGAGQWGSSVALASALFRMKAHIFMVRTSYYAKPYRKYMMQMYGAEVHPSPSDLTEFGRQLLAKDSNHPGSLGIAISDAVEYAHKNGGKYVVGSVVNSDIMFKTIAGMEAKKQMELIGEDPDYIIGVVGGGSNYAALAYPFLGDELRSGKVRRKYIASGSSEVPKMTKGVYKYDYPDTAKLLPMLKMYTIGSDFVPPPVYAGGLRYHGVAPTLSLLISKGIVQARDYSQEESFKWAKLFSELEGYIPAPETSHALPILAEIAEEAKKSGERKTVLVSFSGHGLLDLGNYASVLFKEKLAAALEHHHHHH - Arabidopsis thaliana - - - - - - - InChI=1S/C8H7N/c1-2-4-8-7(3-1)5-6-9-8/h1-6,9H - C1=CC=C2C(=C1)C=CN2 - - - - - - - InChI=1S/C3H8NO6P/c4-2(3(5)6)1-10-11(7,8)9/h2H,1,4H2,(H,5,6)(H2,7,8,9)/t2-/m0/s1 - C(C(C(=O)O)N)OP(=O)(O)O - - - - - - - InChI=1S/C11H12N2O2/c12-9(11(14)15)5-7-6-13-10-4-2-1-3-8(7)10/h1-4,6,9,13H,5,12H2,(H,14,15)/t9-/m0/s1 - N[C@@H](Cc1c[nH]c2ccccc12)C(O)=O - CHEBI:16828 - - - - - - - InChI=1S/H3O4P/c1-5(2,3)4/h(H3,1,2,3,4)/p-2 - OP([O-])([O-])=O - CHEBI:43474 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - k_cat - p0 - s1 - - - - k_m - s1 - - - - - - - - 0.015 - 1.0 - 5e-05 - - - - - - - 0.01 - 1.0 - 5e-05 - - - - - - - - - diff --git a/examples/ThinLayers/COPASI/Modeled_r0_s1/3IZNOK_TEST.xml.psc b/examples/ThinLayers/COPASI/Modeled_r0_s1/3IZNOK_TEST.xml.psc deleted file mode 100644 index 58f4c6b0..00000000 --- a/examples/ThinLayers/COPASI/Modeled_r0_s1/3IZNOK_TEST.xml.psc +++ /dev/null @@ -1,40 +0,0 @@ -# Generated by PySCeS 1.0.1 (2022-03-17 22:47) - -# Keywords -Description: 3IZNOK_TEST -Modelname: 3IZNOK_TEST -Output_In_Conc: True -Species_In_Conc: True - -# GlobalUnitDefinitions -UnitSubstance: mole, 1.0, 0, 1 -UnitVolume: litre, 1.0, 0, 1 -UnitTime: second, 1.0, 0, 1 -UnitLength: metre, 1.0, 0, 1 -UnitArea: metre, 1.0, 0, 2 - -FIX: p0 - -# Compartments -Compartment: v0, nan, 3 - -# Reactions -r0@v0: - s0 + s1 > s2 + s3 - r0_k_cat*p0*s1/(r0_k_m+s1) -# r0 has modifier(s): p0 - -# Fixed species -p0@v0 = nan - -# Variable species -s0@v0 = nan -s1@v0 = nan -s2@v0 = nan -s3@v0 = nan - -# Parameters -r0_k_cat = 0.015 -r0_k_m = 0.01 - - diff --git a/examples/ThinLayers/COPASI/Modeled_r0_s1/3IZNOK_TEST/3IZNOK_TEST.cps b/examples/ThinLayers/COPASI/Modeled_r0_s1/3IZNOK_TEST/3IZNOK_TEST.cps deleted file mode 100644 index 4304ddf2..00000000 --- a/examples/ThinLayers/COPASI/Modeled_r0_s1/3IZNOK_TEST/3IZNOK_TEST.cps +++ /dev/null @@ -1,1079 +0,0 @@ - - - - - - - - - - - - - - k_cat*p0*s1/(k_m+s1)/v0 - - - - - - - - - - - - - - - - - 2022-03-17T21:53:24Z - - - - - - - - - - 10.22011/strenda_db.3IZNOK_TEST - - - - - - - - - - - - - - - - - - - - - - - - - - - MAMRIRIDLPQDEIPAQWYNILPDLPEELPPPQDPTGKSLELLKEVLPSKVLELEFAKERYVKIPDEVLERYLQVGRPTPIIRAKRLEEYLGNNIKIYLKMESYTYTGSHKINSALAHVYYAKLDNAKFVTTETGAGQWGSSVALASALFRMKAHIFMVRTSYYAKPYRKYMMQMYGAEVHPSPSDLTEFGRQLLAKDSNHPGSLGIAISDAVEYAHKNGGKYVVGSVVNSDIMFKTIAGMEAKKQMELIGEDPDYIIGVVGGGSNYAALAYPFLGDELRSGKVRRKYIASGSSEVPKMTKGVYKYDYPDTAKLLPMLKMYTIGSDFVPPPVYAGGLRYHGVAPTLSLLISKGIVQARDYSQEESFKWAKLFSELEGYIPAPETSHALPILAEIAEEAKKSGERKTVLVSFSGHGLLDLGNYASVLFKEKLAAALEHHHHHH - Arabidopsis thaliana - - - - - - - - - - - - - - - - - InChI=1S/C8H7N/c1-2-4-8-7(3-1)5-6-9-8/h1-6,9H - C1=CC=C2C(=C1)C=CN2 - - - - - - - - - - - - - - - - - InChI=1S/C3H8NO6P/c4-2(3(5)6)1-10-11(7,8)9/h2H,1,4H2,(H,5,6)(H2,7,8,9)/t2-/m0/s1 - C(C(C(=O)O)N)OP(=O)(O)O - - - - - - - - - - - - - - - - - InChI=1S/C11H12N2O2/c12-9(11(14)15)5-7-6-13-10-4-2-1-3-8(7)10/h1-4,6,9,13H,5,12H2,(H,14,15)/t9-/m0/s1 - N[C@@H](Cc1c[nH]c2ccccc12)C(O)=O - CHEBI:16828 - - - - - - - - - - - - - - - - - InChI=1S/H3O4P/c1-5(2,3)4/h(H3,1,2,3,4)/p-2 - OP([O-])([O-])=O - CHEBI:43474 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 0 6.0221417899999999e+23 6.0221417899999999e+23 6.0221417899999999e+23 6.0221417899999999e+23 6.0221417899999999e+23 1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Automatically generated report. - -

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