feat(test_mode): PYAUTO_LATENT_NAN_INJECT hook for latent NaN robustness tests#112
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feat(test_mode): PYAUTO_LATENT_NAN_INJECT hook for latent NaN robustness tests#112Jammy2211 wants to merge 1 commit into
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…ustness tests Adds latent_nan_inject_spec() and inject_latent_nans() to autoconf.test_mode, env-gated test-only helpers (no-op in production) used by the *_workspace_test integration suites to reproduce the per-batch latent masking bug fixed in PyAutoFit's compute_latent_samples. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Summary
Adds a test-only NaN-injection hook to
autoconf.test_modeso the*_workspace_testintegration suites can deterministically reproduce the latent-variable masking failure fixed in PyAutoFit (compute_latent_samples). Two helpers are added, both gated on thePYAUTO_LATENT_NAN_INJECTenvironment variable and a complete no-op when it is unset — production behaviour is unchanged.API Changes
Added two public functions to
autoconf.test_mode:latent_nan_inject_spec()andinject_latent_nans(values_2d, start_index). Both are inert unlessPYAUTO_LATENT_NAN_INJECTis set. No existing symbols changed.See full details below.
Test Plan
pytest test_autoconf/passes.inject_latent_nans(arr, 0)returnsarrunchanged.latent_nan_robustness.pyworkspace_test scripts reproduce the bug pre-fix and pass post-fix against the PyAutoFit change.Full API Changes (for automation & release notes)
Added
autoconf.test_mode.latent_nan_inject_spec()— returns thePYAUTO_LATENT_NAN_INJECTspec string (e.g."stride:N") orNone.autoconf.test_mode.inject_latent_nans(values_2d, start_index)— sets NaN on column 0 of a(n_samples, n_latents)array at non-zero absolute indices that are multiples ofNper the spec; handles NumPy and JAX arrays; no-op when the spec is unset/unrecognised.🤖 Generated with Claude Code