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dynamic python version
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.gitignore

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[codz]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py.cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# UV
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# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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#uv.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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#poetry.toml
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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# pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
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# https://pdm-project.org/en/latest/usage/project/#working-with-version-control
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#pdm.lock
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#pdm.toml
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.pdm-python
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.pdm-build/
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# pixi
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# Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control.
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#pixi.lock
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# Pixi creates a virtual environment in the .pixi directory, just like venv module creates one
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# in the .venv directory. It is recommended not to include this directory in version control.
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.pixi
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.envrc
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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.idea/
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# Abstra
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# Abstra is an AI-powered process automation framework.
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# Ignore directories containing user credentials, local state, and settings.
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# Learn more at https://abstra.io/docs
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.abstra/
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# Visual Studio Code
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# Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore
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# that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
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# and can be added to the global gitignore or merged into this file. However, if you prefer,
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# you could uncomment the following to ignore the entire vscode folder
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.vscode/
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# Ruff stuff:
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.ruff_cache/
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# PyPI configuration file
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.pypirc
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# Cursor
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# Cursor is an AI-powered code editor. `.cursorignore` specifies files/directories to
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# exclude from AI features like autocomplete and code analysis. Recommended for sensitive data
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# refer to https://docs.cursor.com/context/ignore-files
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.cursorignore
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.cursorindexingignore
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# Marimo
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marimo/_static/
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marimo/_lsp/
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__marimo__/
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__pycache__/sprout.cpython-312.pyc

539 Bytes
Binary file not shown.

sprout.py

Lines changed: 68 additions & 11 deletions
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@@ -125,13 +125,6 @@ def _python_identifier(name: str) -> str:
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return sanitized
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def title() -> None:
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header = Text()
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header.append("Python Project Generator", style="bold magenta")
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console.print(header)
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console.print(Text("═" * 48, style="magenta"))
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python_version_choices = [
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("3.8", "Python 3.8"),
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("3.9", "Python 3.9"),
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suggested_package = _python_identifier(destination.name)
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def version_tuple(value: str | None) -> tuple[int, int] | None:
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if not value:
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return None
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major, minor = value.split(".")
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return int(major), int(minor)
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def filtered_version_choices(
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*,
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min_version: str | None = None,
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max_version: str | None = None,
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) -> list[tuple[str, str]]:
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min_tuple = version_tuple(min_version)
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max_tuple = version_tuple(max_version)
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choices: list[tuple[str, str]] = []
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for value, label in python_version_choices:
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current_tuple = version_tuple(value)
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if min_tuple and current_tuple and current_tuple < min_tuple:
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continue
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if max_tuple and current_tuple and current_tuple > max_tuple:
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continue
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choices.append((value, label))
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return choices
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def default_package_name(answers: dict[str, Any]) -> str:
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return suggested_package
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username = env.globals.get("github_username") or "my-user"
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return f"https://github.com/{username}/{repo}"
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def python_max_version_choices(answers: dict[str, Any]) -> list[tuple[str, str]]:
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min_version = answers.get("python_min_version")
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return filtered_version_choices(min_version=min_version)
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def default_python_max_version(answers: dict[str, Any]) -> str:
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choices = python_max_version_choices(answers)
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preferred = "3.13"
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available_values = [value for value, _ in choices]
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if preferred in available_values:
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return preferred
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if available_values:
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return available_values[-1]
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return preferred
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def python_default_version_choices(
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answers: dict[str, Any],
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) -> list[tuple[str, str]]:
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min_version = answers.get("python_min_version")
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max_version = answers.get("python_max_version")
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return filtered_version_choices(
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min_version=min_version, max_version=max_version
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)
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def default_python_default_version(answers: dict[str, Any]) -> str:
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choices = python_default_version_choices(answers)
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preferred = "3.12"
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available_values = [value for value, _ in choices]
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if preferred in available_values:
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return preferred
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for key in (
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answers.get("python_max_version"),
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answers.get("python_min_version"),
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):
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if key in available_values:
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return str(key)
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if available_values:
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return available_values[-1]
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return preferred
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return [
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Question(
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key="package_name",
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Question(
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key="description",
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prompt="Project description",
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default=" ",
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parser=lambda value, answers: value.strip(),
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),
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Question(
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key="repository_url",
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Question(
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key="python_max_version",
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prompt="Maximum supported Python version",
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choices=python_version_choices,
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default="3.13",
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choices=python_max_version_choices,
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default=default_python_max_version,
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validators=[validate_versions],
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),
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Question(
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key="python_default_version",
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prompt="Default development Python version",
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choices=python_version_choices,
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default="3.12",
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choices=python_default_version_choices,
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default=default_python_default_version,
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validators=[validate_versions],
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),
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Question(

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