refactor: port the Potentials bind() API from gsoc-2026 (#1937, #1943, #1945, #1946, #1948) - #1989
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refactor: port the Potentials bind() API from gsoc-2026 (#1937, #1943, #1945, #1946, #1948)#1989janfb wants to merge 6 commits into
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bind(x_o) returns a new potential with the observed data bound. It replaces the mutable set_x() at every internal call site: the MCMC, rejection, importance, VI, and vector-field posteriors now bind a fresh potential instead of mutating a shared one. Covers BasePotential, CustomPotentialWrapper, the likelihood-, posterior-, ratio-, and vector-field potentials, EnsemblePotential, and ConditionedPotential. Also fixes the init order of PytorchReturnTypeWrapper, MultipleIndependent, and OneDimPriorWrapper and adds __deepcopy__ support, so potentials with wrapped priors copy cleanly. Fixes a Python scoping issue in _base_recursor via a local holder variable. Ported from gsoc-2026. (cherry picked from commit b6eff5e)
set_x() now emits a FutureWarning and delegates to bind() internally, so both paths share one implementation. It will be removed in a future release. Test helpers implement bind() directly and no longer trip the warning. Ported from gsoc-2026. (cherry picked from commit 8b39279)
The tests bind observations instead of mutating potentials in place. No behavior change. Ported from gsoc-2026. (cherry picked from commit e6f611e)
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📝 WalkthroughWalkthroughThe PR adds immutable ChangesPotential binding API
Posterior and sampler integration
Utility fixes
Estimated code review effort: 4 (Complex) | ~45 minutes Merge Risk: 🟡 Moderate · up to The new bind() behavior can lose existing vector-field IID settings and can switch wrapped non-IID potentials to IID mode by default, potentially changing sampling behavior. These bounded correctness issues should be fixed or explicitly accepted before merging. Sequence Diagram(s)sequenceDiagram
participant PosteriorMethod
participant Potential
participant BoundPotential
participant Sampler
PosteriorMethod->>Potential: bind(observation, options)
Potential->>BoundPotential: process observation and copy state
BoundPotential-->>PosteriorMethod: return bound potential
PosteriorMethod->>Sampler: evaluate or optimize bound potential
Sampler-->>PosteriorMethod: return result
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
Comment |
Codecov Report❌ Patch coverage is Additional details and impacted files@@ Coverage Diff @@
## main #1989 +/- ##
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+ Coverage 88.18% 89.05% +0.87%
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Files 140 140
Lines 14110 14276 +166
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+ Hits 12443 12714 +271
+ Misses 1667 1562 -105
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Inline comments:
In `@sbi/inference/posteriors/ensemble_posterior.py`:
- Around line 503-512: Update EnsemblePotential.bind() with Google-style Args
and Returns sections documenting its parameters and returned EnsemblePotential;
also update seeded_init_fn() in sbi/inference/posteriors/mcmc_posterior.py lines
709-711 with Google-style documentation for seed and the returned tensor. No
direct changes are needed elsewhere.
Apply the same fix in `@sbi/inference/potentials/likelihood_based_potential.py`
around lines 98 - 101: Documents the conditioned potential bind() API.
Apply the same fix in `@tests/rejection_sampling_test.py` at line 90: Documents
the test double’s bind() arguments and return behavior.
In `@sbi/inference/potentials/base_potential.py`:
- Around line 189-196: Update CustomPotentialWrapper.bind to accept the same
optional x_o and x_is_iid arguments as the inherited API, and pass both through
when constructing the new wrapper so binding preserves batched-evaluation
semantics.
In `@sbi/inference/potentials/vector_field_potential.py`:
- Around line 183-191: Update the VectorFieldBasedPotential construction in bind
so iid_params falls back to self.iid_params when no replacement is supplied,
matching the existing iid_method fallback and preserving constructor-configured
IID options during normal sampling.
In `@sbi/utils/conditional_density_utils.py`:
- Around line 435-443: Update ConditionedPotential.bind to accept
Optional[Tensor] and x_is_iid: Optional[bool] = None; preserve the wrapped
potential’s default by forwarding x_is_iid only when explicitly provided, while
retaining explicit override behavior. Ensure bound._x_is_iid reflects the
effective setting and supports clearing observations.
In `@tests/rejection_sampling_test.py`:
- Around line 90-91: Update the stateless test double’s bind method to return
self instead of implicitly returning None, preserving the required
bound-potential API without adding observation storage.
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Configuration used: Organization UI
Review profile: CHILL
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Run ID: a01f40cd-20b9-484b-915f-3cedb919f347
📒 Files selected for processing (24)
sbi/inference/posteriors/base_posterior.pysbi/inference/posteriors/ensemble_posterior.pysbi/inference/posteriors/importance_posterior.pysbi/inference/posteriors/mcmc_posterior.pysbi/inference/posteriors/rejection_posterior.pysbi/inference/posteriors/vector_field_posterior.pysbi/inference/posteriors/vi_posterior.pysbi/inference/potentials/base_potential.pysbi/inference/potentials/likelihood_based_potential.pysbi/inference/potentials/posterior_based_potential.pysbi/inference/potentials/ratio_based_potential.pysbi/inference/potentials/vector_field_potential.pysbi/samplers/vi/vi_divergence_optimizers.pysbi/utils/conditional_density_utils.pysbi/utils/torchutils.pysbi/utils/user_input_checks_utils.pytests/inference_on_device_test.pytests/linearGaussian_snpe_test.pytests/linearGaussian_vector_field_test.pytests/posterior_nn_test.pytests/potential_test.pytests/rejection_sampling_test.pytests/score_samplers_test.pytests/vi_test.py
Port adaptations: - keep main's compose_standardization guard on the bind() path - contract test: bind() preserves the estimator on the bound potential (the x_o NaN-tolerance derivation of ADR 0001 reads the embedding net through it) Review fixes. Two Codex rounds found six defects; all exist on gsoc-2026 as well and regress main: - restore per-class x_o handling at potential construction: the vector-field potential never built its flow and crashed on first call; posterior-based potentials silently got x_is_iid=True - give BasePotential.bind() a copy-based default, so custom potentials that only override __call__ keep working - bind() overwrites guidance and iid params: None clears, like set_x on main; the sticky guidance broke log_prob() after a guided sample() - ensemble bind() keeps each component's own iid default instead of forcing x_is_iid=True - bind components when an ensemble is constructed with x_o - set_x(None) and bind(None) clear the observation again - forward x_is_iid in CustomPotentialWrapper.bind() Each behavior change is pinned by a test in tests/potential_test.py.
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This PR ports @Jocho-Smith's Potentials API work from
gsoc-2026ontomain(#1937, #1943, #1945, #1946, #1948). The cherry-picks keep his authorship. Future work can buildon
mainbefore the GSoC final evaluation.What the port brings:
bind(x_o)returns a new potential with the observation bound. It replaces themutable
set_x()at every internal call site.set_x()is deprecated. It warns withFutureWarningand delegates tobind().The warning ships with the next release.
x_ohas no public setter anymore.On top of his commits, one commit with the net changes needed on
main:compose_standardizationguard moved fromset_x()intobind(), which isthe chokepoint now.
x_ois given.
__init__no longer dispatches throughset_x(), so this happensexplicitly.
BasePotential.bind()has a copy-based default. A custom potential that onlyoverrides
__call__keeps working with all samplers.bind()overwritesguidance_method,guidance_params, andiid_params.Noneclears, likeset_xonmain. Without this, guidance is sticky andlog_prob()fails after a guidedsample(). @Jocho-Smith — this changes yourinherit-if-
Nonesemantics, please check that you agree.EnsemblePotentialbinds its components at construction, and itsbind()forwards
x_is_iidonly when the caller sets it. Each component keeps its owndefault.
set_x(None)andbind(None)clear the observation again.tests/potential_test.py: a contract test thatbind()keeps thesame estimator object (the planned NaN-tolerance derivation reads the embedding
net through it), plus regression tests for the changes above.
Open question, @Jocho-Smith:
EnsemblePotential.bind()andConditionedPotential.bind()create new component potentials, but the enclosingposteriors keep their old references. Under
set_xboth views shared one object. I think we need a decision on this sharing contract — no need to solve it in this PR.Validation: full fast suite, targeted slow MNLE tests (custom potential through
MCMC), ruff, pyright, and pre-commit all pass.
The port was done with substantial AI assistance (Claude Code), supervised by me.