fix(release-profile): jax_grad JAX-enable + no_run slow multi/delaunay_mge#167
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…launay_mge release-validation tail (PyAutoHeart#72). Two mode=release config fixes: - env_vars_release.yaml: add the jax_grad/ PYAUTO_DISABLE_JAX=0 override (it was present in autogalaxy_workspace_test but missing here), so jax_grad scripts run with JAX enabled. Without it use_jax=False → grad of a numpy fn is all-zeros → 'AssertionError: Gradient is all zeros'. - no_run.yaml: SLOW-skip jax_likelihood_functions/multi/delaunay_mge (real-search JAX Delaunay-MGE exceeds the 1800s cap; speedup tracked by the Profiling Agent). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01TDCsgNCXacXqiWAPTswWCt
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Part of the release-validation tail close-out (PyAutoHeart#72). Fixes the jax_grad 'Gradient is all zeros' config gap (missing jax_grad/ DISABLE_JAX=0 override) and SLOW-skips the too-slow multi/delaunay_mge. See #72.
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https://claude.ai/code/session_01TDCsgNCXacXqiWAPTswWCt