refactor(jax_likelihood_functions): drop xp=jnp from PointSolver.for_grid#57
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…grid Aligns the point-source JAX likelihood verification scripts with the PointSolver refactor in PyAutoLabs/PyAutoLens#469. Cross-xp verification (numpy vs jit(fit_from)) is retained and still proves the ergonomic API yields the same log-likelihood. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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Summary
Updates the 3 point-source JAX-likelihood verification scripts to use the new
PointSolver.for_gridsignature from PyAutoLabs/PyAutoLens#469. The cross-xp assertions (numpy vs JAX viaAnalysisPoint(use_jax=True)) are retained and continue to match (log-likelihood1.31350833forimage_planeandpoint;-199.155585forsource_plane).Scripts Changed
scripts/jax_likelihood_functions/point_source/image_plane.py— dropxp=jnpfromPointSolver.for_gridscripts/jax_likelihood_functions/point_source/point.py— dropxp=jnpfromPointSolver.for_gridscripts/jax_likelihood_functions/point_source/source_plane.py— dropxp=jnpfromPointSolver.for_gridUpstream PR
PyAutoLabs/PyAutoLens#469
Test Plan
🤖 Generated with Claude Code