refactor: separate PYAUTOFIT_TEST_MODE into distinct PYAUTO_* env vars

Split the catch-all PYAUTOFIT_TEST_MODE into purpose-specific variables:
- PYAUTO_TEST_MODE (sampler speedup, levels 0-3)
- PYAUTO_SKIP_FIT_OUTPUT (pre/post-fit I/O, VRAM, result text)
- PYAUTO_SKIP_VISUALIZATION (fit visualization and plotting)
- PYAUTO_SKIP_CHECKS (mesh validation, position resampling, weight thresholds)

Also renames:
- PYAUTOARRAY_OUTPUT_MODE -> PYAUTO_OUTPUT_MODE
- PYAUTO_WORKSPACE_SMALL_DATASETS -> PYAUTO_SMALL_DATASETS

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: 2 people

autoconf/__init__.py

@@ -10,7 +10,7 @@
 
 from .setup_colab import for_autolens
 from .setup_notebook import setup_notebook
-from .test_mode import test_mode_level, is_test_mode
+from .test_mode import test_mode_level, is_test_mode, skip_fit_output, skip_visualization, skip_checks
 
 
 __version__ = "2026.4.5.3"

autoconf/test_mode.py

@@ -10,11 +10,41 @@ def test_mode_level():
     2 = bypass sampler entirely, call likelihood once
     3 = bypass sampler entirely, skip likelihood call
     """
-    return int(os.environ.get("PYAUTOFIT_TEST_MODE", "0"))
+    return int(os.environ.get("PYAUTO_TEST_MODE", "0"))
 
 
 def is_test_mode():
     """
     Return True if any test mode is active.
     """
     return test_mode_level() > 0
+
+
+def skip_fit_output():
+    """
+    Return True if fit I/O should be skipped.
+
+    Controls: pre/post-fit output, VRAM profiling, result info text,
+    likelihood function checks.
+    """
+    return os.environ.get("PYAUTO_SKIP_FIT_OUTPUT", "0") == "1"
+
+
+def skip_visualization():
+    """
+    Return True if fit visualization should be skipped.
+
+    Controls: Visualizer.should_visualize, plot decorators,
+    quantity visualizers.
+    """
+    return os.environ.get("PYAUTO_SKIP_VISUALIZATION", "0") == "1"
+
+
+def skip_checks():
+    """
+    Return True if validation checks should be skipped.
+
+    Controls: mesh pixel validation (hilbert), position resampling,
+    inversion position exceptions, sample weight thresholds.
+    """
+    return os.environ.get("PYAUTO_SKIP_CHECKS", "0") == "1"