refactor: re-export test_mode from autoconf

CLAUDE.md

@@ -6,6 +6,13 @@
 - Requires Python >= 3.9
 - Package name: `autofit`
 
+## Dependency Graph
+
+PyAutoFit depends on **autoconf** (shared configuration and utilities).
+PyAutoFit does **NOT** depend on PyAutoArray, PyAutoGalaxy, or PyAutoLens.
+Never import from `autoarray`, `autogalaxy`, or `autolens` in this repo.
+Shared utilities (e.g. `test_mode`, `jax_wrapper`) belong in autoconf.
+
 ## Repository Structure
 
 - `autofit/` - Main package
@@ -38,25 +45,25 @@
 - `anesthetic==2.8.14` - Posterior analysis/plotting
 - Optional: `nautilus-sampler`, `ultranest`, `zeus-mcmc`, `getdist`
 
-## Running Tests
-
-```
-pytest test_autofit
-pytest test_autofit/non_linear
-pytest test_autofit/mapper
-```
-
-## Codex / sandboxed runs
-
-When running Python from Codex or any restricted environment, set writable cache directories so `numba` and `matplotlib` do not fail on unwritable home or source-tree paths:
-
-```bash
-NUMBA_CACHE_DIR=/tmp/numba_cache MPLCONFIGDIR=/tmp/matplotlib pytest test_autofit
-```
-
-This workspace is often imported from `/mnt/c/...` and Codex may not be able to write to module `__pycache__` directories or `/home/jammy/.cache`, which can cause import-time `numba` caching failures without this override.
-
-## Shell Commands
+## Running Tests
+
+```
+pytest test_autofit
+pytest test_autofit/non_linear
+pytest test_autofit/mapper
+```
+
+## Codex / sandboxed runs
+
+When running Python from Codex or any restricted environment, set writable cache directories so `numba` and `matplotlib` do not fail on unwritable home or source-tree paths:
+
+```bash
+NUMBA_CACHE_DIR=/tmp/numba_cache MPLCONFIGDIR=/tmp/matplotlib pytest test_autofit
+```
+
+This workspace is often imported from `/mnt/c/...` and Codex may not be able to write to module `__pycache__` directories or `/home/jammy/.cache`, which can cause import-time `numba` caching failures without this override.
+
+## Shell Commands
 
 - Prefer simple shell commands
 - Avoid chaining with `&&` or pipes; run commands separately

autofit/non_linear/test_mode.py

@@ -1,20 +1,3 @@
-import os
+from autoconf.test_mode import test_mode_level, is_test_mode
 
-
-def test_mode_level():
-    """
-    Return the current test mode level.
-
-    0 = off (normal operation)
-    1 = reduce sampler iterations to minimum (existing behavior)
-    2 = bypass sampler entirely, call likelihood once
-    3 = bypass sampler entirely, skip likelihood call
-    """
-    return int(os.environ.get("PYAUTOFIT_TEST_MODE", "0"))
-
-
-def is_test_mode():
-    """
-    Return True if any test mode is active.
-    """
-    return test_mode_level() > 0
+__all__ = ["test_mode_level", "is_test_mode"]