integrate(A1): four research APIs in one successor tree (#2114 + #2077 + #2091 + #2120) - #2130
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Manuscript G+4+W needs expected raw E[T|G] with W and specifics as independent N(0,1) nuisances (linearity of expectation), not latent EAP substitution. Expose expected_total_score_two_tier_given_primary with required q_nuisance and bifactor-parity tests. Co-authored-by: Cursor <cursoragent@cursor.com>
Fail closed on from_fit when Phi≠I, require explicit independent_standardized nuisance prior, validate GRM thresholds, and add G4W/reverse/MC fixtures. Co-authored-by: Cursor <cursoragent@cursor.com>
Map primary/specific reference mean/sd explicitly (scalar broadcast only when producer fixes all dims equal). Require consumer confirmation that Phi==I reflects orthogonal identification, not a silent numeric substitute. Co-authored-by: Cursor <cursoragent@cursor.com>
Reject non-finite/non-integer specific_map before int64 cast. Independent Gaussian nuisances enter only via a linear predictor, so product meshgrid collapses to 1-D GH (measured mesh↔collapse ≤1e-10 at q=21) and avoids q^n allocation; guard prediction-cell budget before the grid. Co-authored-by: Cursor <cursoragent@cursor.com>
Pre-cast Python-int range check blocks uint64 max and 2**63 so they cannot wrap to -1 / INT64_MIN and be misread as specific-free. Co-authored-by: Cursor <cursoragent@cursor.com>
Fail closed if max(specific_map)+1 exceeds n_items so huge representable indices cannot inflate reference allocations; clarify uint64 wrap test. Co-authored-by: Cursor <cursoragent@cursor.com>
`check_bifactor_expected_total_score_monotonicity` rejected every `BifactorMultigroupFit` with `fit.a_general must be a non-empty 1-D array`: a multiple-group fit stores `n_groups x n_items` slopes and `n_groups x n_items x (n_cat-1)` thresholds, and the expected-score path accepted only the single-group 1-D layout. A converged 121-iteration research calibration could not be scored at all. Add `predict_bifactor_expected_total_score(fit, theta, q_specific, *, group)`: `E[T | theta_G]` evaluated pointwise, so person EAPs with ties and in any order no longer have to be laundered through the monotonicity report's strictly ascending grid. It reads single-group and multiple-group fits, and the monotonicity check now delegates its whole curve to it (plus grid validation and the decrease report), so the two cannot disagree. The group axis is selected, never flattened. `group=<index>` names whose item parameters the curve uses; `group=None` is admitted only when every group's `a_general`, `a_specific` and `threshold` rows are exactly equal -- the identity an all-anchored fit creates by construction, checked here rather than assumed, so no group is silently picked for a fit whose rows differ. `theta` needs no per-group rescaling: multiple-group item parameters and `theta_g_eap` are on the one common metric the E-step places every group's nodes on, and `general_mean`/`general_sd` describe a group's population, not this conditional curve. A group with an estimated (non-unit) `specific_sd` raises rather than being approximated, because no fit object carries the `specific_map` that says which specific factor an item loads. Re-verified on the preserved checkpoint with no refit (sha256 d74eb91aa38a0e42cb1253feba58db0f127d8bc3b24b0edfd16d73a216c81411): the previously-failing call succeeds, all three item-parameter blocks are exactly identical across the 3 groups, every explicit group gives the same curve, and the old unique-grid workaround agrees to 0.0. See docs/bifactor_multigroup_expected_raw_evidence.md. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01YNvQaVd9VsXdsBrYiFobgW
…t it A duck-typed fit with 2-D `a_general` but a shorter `specific_sd` raised `IndexError` from the guard meant to protect the marginalization. The fuzz contract counts `IndexError` as a bug, so validate the shape and raise `ValueError` like every other field check. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01YNvQaVd9VsXdsBrYiFobgW
The evidence JSON's `fast_mlsirm: 0.11.4` is the analysis host's package metadata, not the code under test: the host cannot build this branch's Rust core (cargo 1.75), so the branch's Python tree ran against the host's existing compiled core. Record that, plus the file hashes tying the executed tree to commit 54a5925, so no reader concludes the released 0.11.4 carries the fix. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01YNvQaVd9VsXdsBrYiFobgW
…ifact Independent review of ef1344f found a false statement in the evidence log: it said the expected-raw path is pure NumPy and does not exercise the compiled core. It does. `predict_bifactor_expected_total_score` calls `predict_expected_response_polytomous` per item, which routes through `_polytomous_predictions`, which raises without the native extension and otherwise calls `core.polytomous_predictions` (python/fast_mlsirm/polytomous.py:218-226). Every expected-score value in that evidence was produced by native code. Correct the claim and bind the artifact that actually ran: the module resolved at run time, its sha256 (a0453b7a..., 14362448 bytes) and exported symbol verified on the loaded module, its byte-identical source in the host venv, the installed distribution's RECORD digest, the wheel tag and maturin generator, and the wheel's direct_url origin (664aef1a...) -- a locally built internal wheel, not an immutable published release, which is the caveat that keeps this run short of release acceptance. Also record the downstream checkpoint-key edit with an owner and a delivery path: its diff, the before/after hashes and the on-host backup, since that file is outside this repository and cannot ride in the pull request. No code change; the behaviour under review is untouched. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01YNvQaVd9VsXdsBrYiFobgW
… operator snapshot - Remove billing-snapshots/pr2077_meshgrid_collapse_diag_20260921.json. It is not part of the expected-raw deliverable. Local scan of all three commits that carried it (d68e91a, 0529333, 5a063db; 881 bytes, a math diagnostic) found 0 secret/token/email/billing/org/participant/IP/home-path matches, so no rotation or history rewrite is needed. - .gitignore billing-snapshots/ plus a repository-hygiene regression test (tracked paths empty, ignore rule present). - Replace the test fixture whose method-factor item set {4,5,6,9,12,14,15} duplicated a study's wording-item map with a synthetic 12-item two-primary + 4-specific pattern. Same properties are checked: bounds 0..36, symmetric midpoint 1.5*n = 18.0, method-factor effect, and reverse-key behaviour. - Docstring examples no longer name a study/instrument. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01P5o6j4zfxGPdRaH4Lug8UY
…nce tests Independent review on 5a063db (pullrequestreview-5270688679), finding 2: the study-shaped fixture only ran at q=15/11. Adding the mandated 121/241/481 convergence check exposed a real defect: numpy's hermite_e.hermegauss returns NaN weights at q=481 (1/He_{n-1}^2 overflows), so expected_total_score_two_tier_given_primary silently returned an all-NaN curve at study node counts. - _probabilists_gauss_hermite: Golub & Welsch (1969) Jacobi eigen rule, mirroring the Rust core's gauss_hermite_probabilists (#1929). Tail weights underflow to 0.0 instead of NaN, and a non-finite rule fails loudly. - Tests: 121 vs 241 and 241 vs 481 agree < 1e-9 on the synthetic fixture (q=15 is within 1e-6). The rule is finite for q up to 961, with sum(w)=1, E[Z^2]=1 and E[Z^4]=3. - Finding 1 (remove the q_nuisance upper bound) is kept as-is and documented. MAX_POLY_QUADRATURE_POINTS is main's shared quadrature resource budget (_fit_quadrature_points / q_xi, post-#1929), not a rule-table cap, and it bounds the dense O(q^2) rule construction (sentinel: bound user-derived dimensions). s1 (Linux x86_64): tests/test_two_tier_expected_raw.py + test_two_tier_grm.py + test_repository_hygiene.py -> 26 passed. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01P5o6j4zfxGPdRaH4Lug8UY
…nstead Independent re-review on 57a90e8 (pullrequestreview-5271007243) upheld finding 1: MAX_POLY_QUADRATURE_POINTS is a node-count cap, which maintainer steering 2026-09-16/17 item 1 forbids. - q_nuisance: any exact integer >= 1 (int or NumPy integer scalar; bool, float and str are rejected). No maximum. - Resource safety mirrors the Rust core's checked_mul guard (#1929): prediction-cell admission now runs before the rule is built; the dense q x q Jacobi matrix must be representable in intp; MemoryError or LinAlgError from rule construction raises ValueError. - Tests: q=4097 reaches rule construction (a spy stubs the rule to stay fast); non-integer, zero and negative values are rejected; _probabilists_gauss_hermite(2**40) fails as unrepresentable before any allocation. s1 (Linux x86_64): test_two_tier_expected_raw + test_two_tier_grm + test_repository_hygiene -> 33 passed. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01P5o6j4zfxGPdRaH4Lug8UY
…tral The evidence document named a consumer study and construct. It also listed consumer host paths, a non-public checkpoint digest, sample size and group structure, and aggregate score/population summaries computed on consumer data, and described a consumer-side script edit. None of that belongs in the public library. The document now keeps: - the failure mode (a multiple-group a_general is n_groups x n_items, and the expected-score path accepted only 1-D); - the guarantees, each mapped to tests in tests/test_bifactor_multigroup_expected_raw.py (explicit group selection, exact-identity gate for group=None, population parameters outside the conditional curve, unit specific-variance requirement, one kernel); - the native-core call path. Consumer-side verification against a preserved checkpoint belongs in the consumer's repository. No code or test changes. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01P5o6j4zfxGPdRaH4Lug8UY
…sted Re-review on a08db1d (pullrequestreview-5273188160): the document called two properties tested that the test file does not exercise. The document now marks each item: - identity check: tested for a_general and threshold differences. The a_specific comparison is in the same exact-equality check (_bifactor_group_item_params) but has no a_specific-only test. - population parameters outside the conditional curve: by construction. general_mean/general_sd are never read on this path; they appear only in the docstring. Not separately tested, and the missing test is named. - explicit selection, unit specific variances and one kernel: tested, with test names. Document only. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01P5o6j4zfxGPdRaH4Lug8UY
… row pick as by construction Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01P5o6j4zfxGPdRaH4Lug8UY
… traced lines Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01P5o6j4zfxGPdRaH4Lug8UY
…cific_sd rule to scored group Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01P5o6j4zfxGPdRaH4Lug8UY
Bind deprecated DIF docstring aliases by function object, and import inventory submodules only after they resolve to a public source file inside python/fast_mlsirm.
This reverts commit 40b1cad. Coordinator decision: the inherited Semgrep Medium findings in python/fast_mlsirm/dif.py and tools/inventory_public_api.py are remediated once, in #2102 (head b653df7). Carrying a second independent fix here conflicts with that PR and is out of this PR's scope. The two-tier identity feature commits are kept. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XaywGmrm4x6bgbkA4gSvxZ
…n tolerance The origin/main golden compared stored floats with rtol=0, atol=1e-12. That fixture stops on `delta_loglik <= 1e-2 * (1 + |loglik|)` (slack ~3.8e-1 at loglik = -37.15), so it pins a point on the EM trajectory, not a converged optimum: its low-order bits are build-specific. The literal-producing build (linux-x86_64) reproduces them exactly; a macos-arm64 build was reported to differ at the 1e-9 scale. Split the contract instead of loosening it wholesale: - exact, platform-independent: n_iter, termination_reason, trace shape, unit Phi diagonal, Phi symmetry, Oakes SE labels and information shape; - exact within one build: the default path and primary_correlation="estimate" must be bit-identical (assert_array_equal, no tolerance); - stored literals: GOLDEN_CROSS_BUILD_ATOL = 1e-6, documented against both the observed cross-build spread (~1e-9) and the effect size a real change to the estimate path would produce (>= 1e-2). Expected values are unchanged and nothing is skipped. Verified on s1 (linux-x86_64, pre-AVX): tests/test_two_tier_grm.py 15 passed. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XaywGmrm4x6bgbkA4gSvxZ
… range Independent review of 1475b63 showed the ">= 1e-2" statement was overclaimed: injected regressions on this fixture move the pinned values by 1.05e-1 (identity rewiring), 2.09e-2 (one fewer Newton step) and 3.98e-4 (10x ridge). The smallest is 3.98e-4, so a 1e-2 tolerance would have missed it - which is the argument for the 1e-6 bound actually used. Docstring and constant comment now state the measured range instead. Documentation only; no assertion, tolerance or expected value changes. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XaywGmrm4x6bgbkA4gSvxZ
Brings in #2102 (Semgrep trio fix and fail-closed python allowlist). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01H8BL8Xssgvx15Fy5rrqVsj
…ration Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01VvLzXkN214MSP1JcebAcNU
…raw path Pins the six changed-hunk lines/branches in _bifactor_group_item_params and predict_bifactor_expected_total_score that no test reached: missing threshold, 2-D threshold on a multiple-group fit, malformed specific_sd, non-finite threshold, non-1-D or empty theta, and a multiple-group fit without specific_sd. Synthetic fixtures only. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01H8BL8Xssgvx15Fy5rrqVsj
…est docstring The module docstring named a manuscript model label. Library code, tests and docs stay neutral: they describe the design being exercised, not the study that motivated it. The replacement states the fixture (a general primary plus one further primary with a nested loading pattern) and that the data are synthetic. No test, assertion or expected value changes. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XaywGmrm4x6bgbkA4gSvxZ
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Navigate logical layers of code changes, visualize relationships, and explore their blast radius. 📝 WalkthroughWalkthroughThe pull request adds focal-prior polytomous person-fit support, configurable two-tier primary correlations, bifactor and two-tier expected-score APIs, validation metadata, provenance fields, documentation, and regression tests. ChangesPrimary correlation and two-tier fitting
Priority: ➖ Normal Estimated code review effort: 5 (Critical) | ~90 minutes Change: Feature Sequence Diagram(s)sequenceDiagram
participant PythonAPI
participant RustCore
participant FitResult
PythonAPI->>RustCore: fit_two_tier_grm(primary_correlation)
RustCore->>RustCore: estimate Phi or keep Phi = I
RustCore-->>FitResult: parameters and primary_identification
PythonAPI->>RustCore: two_tier_oakes_se(primary_correlation)
RustCore-->>PythonAPI: standard errors with matching free vector
sequenceDiagram
participant Caller
participant PythonScorer
participant GaussHermite
Caller->>PythonScorer: predict_bifactor_expected_total_score(fit, theta, q_specific)
PythonScorer->>PythonScorer: select and validate group parameters
PythonScorer->>GaussHermite: integrate item-specific factors
GaussHermite-->>PythonScorer: expected totals
PythonScorer-->>Caller: pointwise expected-score array
Merge Risk: 🟡 Moderate · up to The new focal-prior person-fit results report flagged misfit using a correction whose validity for polytomous EAP estimates is admitted to be unverified. Researchers could therefore act on unsupported person-fit flags. Smaller issues also remain: a changelog edit outside the stated scope, a standard-error default that can silently mismatch identity fits, and possible NaN expected scores at high quadrature counts. Resolve the person-fit validity question, or mark those outputs experimental, before merging. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 62.39% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 109 functions across 19 files. (4 skipped: 4 unsupported.)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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…entification field #2114 makes primary_identification a required TwoTierGrmFit field; #2077's _stub_fit builds that dataclass and predates the field. Each PR passes alone, so only the integrated tree fails - TypeError on the two from_fit gate tests. Resolve it at the integration point rather than in either PR: _stub_fit now takes an optional primary_identification and, when unset, derives it from the stub's Phi (exact identity -> "identity", otherwise "correlated"), which is what a real fit would carry. The from_fit gate keys off its own orthogonal_primary_identification argument, so no gate behaviour changes. s1 on the integrated tree: tests/test_two_tier_expected_raw.py and tests/test_two_tier_grm.py, 34 passed. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XaywGmrm4x6bgbkA4gSvxZ
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Integration verification on s1 (exact head
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| Check | Result |
|---|---|
| editable build | OK, core sha256 50c13c9bf66e62fb53559da47f9c4a39d8fa54fbf539bf5f84fdb7d9c0546374 |
| research contract C1–C4 | all pass, exit 0 |
| targeted API suites (6 files) | 63 passed, 2 failed → 34 passed, 0 failed after the stub fix |
Research contract detail: C1 person-fit via focal-prior FIPC end to end (mu 0.329347, sigma 0.863463, 26 flagged, provenance keys and convergence gate verified, unconverged fit refused); C2 primary_correlation present, default estimate; C3 predict_bifactor_expected_total_score importable; C4 expected_total_score_two_tier_from_fit, expected_total_score_two_tier_given_primary, TwoTierExpectedTotalGivenPrimary.
Scope
Version stays 0.11.4 with zero occurrences of 0.11.5; no changelog or publishing change. This is not a release PR — 0.11.5 preparation (#2126) stays on HOLD until all four APIs are merged.
…cation record Independent audit of the integration head found two defects: 1. My previous integration commit invented "identity" as a stub value. fit_two_tier_grm records exactly two values - "orthogonal" when Phi was fixed to I, "correlated" when Phi was estimated (two_tier_grm.rs:1703-1705, documented at the dataclass field). The stub now uses "orthogonal". 2. expected_total_score_two_tier_from_fit never read fit.primary_identification. Its docstring still said TwoTierGrmFit "does not yet carry identification metadata", which stopped being true when the orthogonal-primary work landed. A fit estimated with correlated primaries whose Phi happened to land on exactly the identity was therefore accepted whenever the caller passed the confirmation flag. The wrapper now requires both gates and fails closed on each: the caller's orthogonal_primary_identification flag (the consumer's research-contract confirmation, which metadata cannot establish) and fit.primary_identification == "orthogonal" (the estimator's own record, which the caller's word cannot establish). A fit carrying no such field is rejected rather than trusted. The metadata check runs after the Phi check so a non-identity Phi still reports the Phi violation. Regressions added: a "correlated" fit with phi exactly I and the flag set is refused, and a fit object without the field is refused. s1, integrated tree: tests/test_two_tier_expected_raw.py, tests/test_two_tier_grm.py, tests/test_two_tier_oakes.py - 38 passed, exit 0. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XaywGmrm4x6bgbkA4gSvxZ
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Actionable comments posted: 4
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Inline comments:
In `@CHANGELOG.md`:
- Around line 5-15: Remove the added polytomous person-fit entry from the
“Changed” section so the integration PR leaves CHANGELOG.md and all release
content unchanged.
In `@crates/mlsirm-core/src/poly.rs`:
- Around line 1395-1400: Do not expose the current EAP correction as
research-valid: either provide and document a primary-source derivation plus
recovery evidence for the polytomous focal-prior correction around r_0 and
lz_star, or switch to a supported estimator. If neither is available, explicitly
mark lz_star and flagged as experimental in the relevant MLSIRM/MLS2PLM output
path.
In `@python/fast_mlsirm/polytomous.py`:
- Around line 696-697: Update the quadrature setup in the surrounding function
to use the package’s Rust Golub–Welsch generator for the requested node count
instead of np.polynomial.hermite_e.hermegauss; before normalizing, validate that
both nodes and weights are finite and reject invalid results so non-finite
values cannot reach the weighted sum.
In `@python/fast_mlsirm/two_tier_grm.py`:
- Line 415: Update two_tier_oakes_se to detect an exact identity phi when
primary_correlation is "estimate" and n_primary is greater than one, after
validating phi’s shape. Raise a clear ValueError directing callers from identity
fits to pass primary_correlation="identity"; use a warning only if legitimate
estimate-mode identity inputs must remain supported.
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.gitignoreCHANGELOG.mdcrates/fast-mlsirm-py/src/lib.rscrates/mlsirm-core/src/poly.rscrates/mlsirm-core/src/two_tier_grm.rscrates/mlsirm-core/src/two_tier_oakes.rscrates/mlsirm-core/tests/two_tier_grm_mirt_agreement.rscrates/mlsirm-core/tests/two_tier_grm_node_agreement.rscrates/mlsirm-core/tests/two_tier_grm_recovery.rscrates/mlsirm-core/tests/two_tier_oakes_mirt.rscrates/mlsirm-core/tests/two_tier_reduces_to_bifactor.rsdocs/bifactor_multigroup_expected_raw_evidence.mddocs/changelog.d/bifactor-multigroup-expected-raw.mdpython/fast_mlsirm/_legacy_init.pypython/fast_mlsirm/polytomous.pypython/fast_mlsirm/two_tier_grm.pytests/test_bifactor_multigroup_expected_raw.pytests/test_person_fit_producer.pytests/test_repository_hygiene.pytests/test_two_tier_expected_raw.pytests/test_two_tier_grm.pytests/unit/two_tier_grm_tests.rstests/unit/two_tier_oakes_tests.rs
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Pull request overview
OpenCode reviewed the current-head product diff. Coverage is a separate gate.
Changed files
.gitignore— repository behaviorCHANGELOG.md— repository behaviorcrates/fast-mlsirm-py/src/lib.rs— Rust workspace crate API and testscrates/mlsirm-core/src/poly.rs— Rust workspace crate API and testscrates/mlsirm-core/src/two_tier_grm.rs— Rust workspace crate API and testscrates/mlsirm-core/src/two_tier_oakes.rs— Rust workspace crate API and testscrates/mlsirm-core/tests/two_tier_grm_mirt_agreement.rs— Rust workspace crate API and testscrates/mlsirm-core/tests/two_tier_grm_node_agreement.rs— Rust workspace crate API and testscrates/mlsirm-core/tests/two_tier_grm_recovery.rs— Rust workspace crate API and testscrates/mlsirm-core/tests/two_tier_oakes_mirt.rs— Rust workspace crate API and testscrates/mlsirm-core/tests/two_tier_reduces_to_bifactor.rs— Rust workspace crate API and testsdocs/bifactor_multigroup_expected_raw_evidence.md— operator or user guidancedocs/changelog.d/bifactor-multigroup-expected-raw.md— operator or user guidancepython/fast_mlsirm/_legacy_init.py— Python module behaviorpython/fast_mlsirm/polytomous.py— Python module behaviorpython/fast_mlsirm/two_tier_grm.py— Python module behaviortests/test_bifactor_multigroup_expected_raw.py— regression suitetests/test_person_fit_producer.py— regression suitetests/test_repository_hygiene.py— regression suitetests/test_two_tier_expected_raw.py— regression suitetests/test_two_tier_grm.py— regression suitetests/unit/two_tier_grm_tests.rs— regression suitetests/unit/two_tier_oakes_tests.rs— regression suite
Changed behavior
classDiagram
class validate_poly_item_parameters
class grm_logprobs
class grm_node_gradient
class grm_node_hessian
class gpcm_logprobs
class gpcm_node_gradient
class PolyModel
class PolytomousPredictions
Changed API
validate_poly_item_parametersgrm_logprobsgrm_node_gradientgrm_node_hessiangpcm_logprobsgpcm_node_gradientPolyModelPolytomousPredictionspolytomous_predictionsPolyFitsolve_smallfit_poly_unidimPolyFipcFitfit_poly_fipcNominalFitfit_nominalPolyPersonFitpoly_person_fitpoly_person_fit_focalpoly_cat_next_itemPolyCatResultpoly_cat_simulateTwoGroupPolyFitfit_poly_multigroupPolyDifRowpoly_dif_sweepU3PolyResultu3_poly_person_fitu3_poly_bootstrap_cutoffpoly_item_informationpoly_information_curvesscore_poly_eapPolySX2Resultpoly_s_x2TwoTierGrmConfigTwoTierGrmResultValidatedvalidateItemParamsgh_rulecholesky_lowerchol_inversephi_from_zz_from_phibuild_primary_gridreweighted_log_weightse_stepphi_neg_llfit_two_tier_grmtwo_tier_grm_marginal_logliktwo_tier_grm_marginal_loglik_brutepack_paramsTwoTierOakesConfigTwoTierOakesResulttwo_tier_oakes_se
Findings
No source-backed product finding is synthesized from the coverage gate. A coverage miss belongs in the status comment.
- Head SHA:
2bcf16137fa46f769f07bf85f42cf278ad9ae483 - Workflow run: 35830788139
- Workflow attempt: 1
- Coverage gate:
failure
Review outcome
Coverage is a gate, not the review. This body reviews the changed product files.
Changed-File Evidence Map
classDiagram
class validate_poly_item_parameters
class grm_logprobs
class grm_node_gradient
class grm_node_hessian
class gpcm_logprobs
class gpcm_node_gradient
class PolyModel
class PolytomousPredictions
Contributor
OpenCode Review Overview
Coverage evidence did not pass, so approval is blocked. The formal pull-request review is the source-backed diff review, not this status comment. |
(cherry picked from commit f752509424741ae2296a2a1f2a8ac5ffabd96f69)
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Author
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Protected-main reconciliation evidence for exact head
Because the tree is unchanged, predecessor local execution remains useful lineage evidence, but it is not promoted to current-head hosted approval. Current-head CodeRabbit/OpenCode review and terminal Checks are still required. No merge, bypass, self-approval, manual rerun, or Force Push was performed. |
Contributor
Author
Admission correction — exact head
|
seonghobae
marked this pull request as draft
September 26, 2026 08:58
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Author
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Exact head
These are separate check failures. Neither supplies a current-head approval for this draft integration PR. The older |
This was referenced Sep 27, 2026
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현재 head 6a2fa9a827f9f975952c7c800dfc98086ff0a733에서 |
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Integration successor carrying the four research APIs in one tree. No version bump and no release content — 0.11.5 is prepared only after all four APIs are in (that is #2126, currently on HOLD).
What this merges (current exact heads, verified individually)
d408d30e2eecc046462df5bc3416ce44cac8448fprimary_correlation="identity"09f111afb980f4d61551987b864301ac7e4873fcE[T|theta_focal]d3c314b56ccb9d2eecc3a76aaa5156fbf3e90d8epredict_bifactor_expected_total_scorefor multiple-group fitsb4f7651e53d5fca11f268e627c0d1b830abd0f38PolyFipcFitfocal-prior person-fit with provenance and the convergence gateOriginal integration base was main
270865294873c7b0ebcc8ff0659db2d6d8c93a48; the current exact base is recorded below. All four merged with zero conflicts; only four files overlap between any pair and all auto-merged.This supersedes the earlier two-PR candidate
938e91ca, which contained only #2114 and an older #2077 — it lacked #2077's current neutralisation commit and both the #2091 and #2120 contracts.Verification
Filled in from the s1 run against this exact head: build, research-contract check (all four API contracts end to end on synthetic data), and the targeted suites. Results are posted as a comment on this PR.
Scope discipline
Summary by CodeRabbit
Combined follow-up at 4bf9c1f: scoped validation and compatibility
This head integrates the reviewed finite/shared quadrature path, person-fit source clarification, and explicit Oakes correlation-mode provenance. The expected-total-score public path delegates to the Rust implementation with malformed/non-finite quadrature and native shape/resource checks. Oakes
primary_correlationis now required on direct Python/PyO3 calls: omitting it raisesTypeError; callers must explicitly select the supported mode. The from-fit path checks mode against recorded fit configuration. Mutable fit metadata is not cryptographically authenticated.One isolated s1 build of exact
4bf9c1f3365401e3657febf17632f1b6a9421642loads the same native module with both endpoints. Source archive SHA-256:3c399cb7b68c0a7328195a5395b8eda9af60b1da908cb5e42aa47cf8799e577a; 1,378 archived regular-file hashes match the remote source manifest. Loaded native SHA-256:a32646b2854bb345591101011c6f2d8a325ead08477e38744646feca9bbfaa14. The persistent verification process ends with raw exit 0, with saved stage exits 0: Rust quadrature/predictor tests 3 passed; Python public quadrature tests 28 passed; Oakes synthetic golden/smoke 2 passed, plus direct missing-mode rejection and fixed-array estimate/identity coordinate checks. These are focused contracts, not a full-suite result. No unreceipted maximum-difference value is claimed.Current raw/corrected person-fit reporting remains fail-closed. Snijders' bounded polytomous extension does not by itself establish the current GRM/EAP correction's applicability. Study estimates, corrected person-fit method validity, full-library behavior, hosted checks, immutable release and publication remain unaccepted. Existing historical evidence in this body belongs to its stated revision; new-head checks and review must be assessed independently.
Current exact integration after protected-main reconciliation (2026-09-26)
main:00f5cb91b417e40102036eb31ab8a4b843c760766a2fa9a827f9f975952c7c800dfc98086ff0a7334bf9c1f3365401e3657febf17632f1b6a9421642+ protected main00f5cb91b417e40102036eb31ab8a4b843c76076764663b3b341338e51d65e287d22c1a37a895c7f, byte-identical to the prior integration head after preserving the explicit Oakes identification mode across three conflicts.CHANGELOG.mdor release/version content.CHANGELOG.mdreview thread became outdated after reconciliation and was resolved against the current effective diff.