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[ty] Generic "manual" PEP 695 type aliases #21801

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[ty] Generic "manual" PEP 695 type aliases #21801

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@sharkdp sharkdp commented Dec 4, 2025 •
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Summary

closes astral-sh/ty#1737

Test Plan

@sharkdp sharkdp added ty Multi-file analysis & type inference ecosystem-analyzer labels Dec 4, 2025
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astral-sh-bot bot commented Dec 4, 2025 •
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Diagnostic diff on typing conformance tests

No changes detected when running ty on typing conformance tests ✅

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astral-sh-bot bot commented Dec 4, 2025 •
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mypy_primer results

Changes were detected when running on open source projects 
beartype (https://github.com/beartype/beartype)
+ beartype/claw/_package/clawpkgtrie.py:66:29: warning[unsupported-base] Unsupported class base with type `<class 'dict[str, PackagesTrieBlacklist]'> | <class 'dict[str, Divergent]'>`
+ beartype/claw/_package/clawpkgtrie.py:247:29: warning[unsupported-base] Unsupported class base with type `<class 'dict[str, PackagesTrieWhitelist]'> | <class 'dict[str, Divergent]'>`
- Found 492 diagnostics
+ Found 494 diagnostics

arviz (https://github.com/arviz-devs/arviz)
+ arviz/plots/hdiplot.py:186:22: error[no-matching-overload] No overload of function `griddata` matches arguments
+ arviz/stats/diagnostics.py:870:46: error[non-subscriptable] Cannot subscript object of type `int` with no `__getitem__` method
+ arviz/stats/diagnostics.py:870:46: error[non-subscriptable] Cannot subscript object of type `float` with no `__getitem__` method
+ arviz/stats/diagnostics.py:871:45: error[non-subscriptable] Cannot subscript object of type `int` with no `__getitem__` method
+ arviz/stats/diagnostics.py:871:45: error[non-subscriptable] Cannot subscript object of type `float` with no `__getitem__` method
+ arviz/stats/diagnostics.py:925:23: error[no-matching-overload] No overload of function `circstd` matches arguments
- arviz/stats/ecdf_utils.py:83:12: error[invalid-return-type] Return type does not match returned value: expected `tuple[ndarray[tuple[Any, ...], dtype[Any]], ndarray[tuple[Any, ...], dtype[Any]]]`, found `tuple[int | float | Unknown, int | float | Unknown]`
+ arviz/stats/ecdf_utils.py:83:12: error[invalid-return-type] Return type does not match returned value: expected `tuple[ndarray[tuple[Any, ...], dtype[Any]], ndarray[tuple[Any, ...], dtype[Any]]]`, found `tuple[int | float | ndarray[tuple[Any, ...], dtype[float64]], int | float | ndarray[tuple[Any, ...], dtype[float64]]]`
+ arviz/tests/base_tests/test_utils.py:319:15: error[no-matching-overload] No overload of function `circmean` matches arguments
- Found 823 diagnostics
+ Found 830 diagnostics

scipy-stubs (https://github.com/scipy/scipy-stubs)
+ scipy-stubs/differentiate/_differentiate.pyi:99:20: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/differentiate/_differentiate.pyi:114:20: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/differentiate/_differentiate.pyi:129:20: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/integrate/_ivp/ivp.pyi:28:55: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_ivp/ivp.pyi:28:88: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_ivp/ivp.pyi:73:36: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/integrate/_ivp/ivp.pyi:73:67: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/integrate/_ivp/ivp.pyi:95:21: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/integrate/_ivp/ivp.pyi:108:21: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/integrate/_ivp/ivp.pyi:122:21: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/integrate/_ivp/ivp.pyi:136:21: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/integrate/_ivp/ivp.pyi:150:21: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/integrate/_ivp/ivp.pyi:163:21: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/integrate/_ivp/ivp.pyi:177:21: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/integrate/_ivp/ivp.pyi:191:21: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/integrate/_ode.pyi:46:37: error[invalid-type-arguments] Type `typing.TypeVar` is not assignable to upper bound `generic[Any]` of type variable `_SCT@Array1D`
+ scipy-stubs/integrate/_ode.pyi:47:39: error[invalid-type-arguments] Type `typing.TypeVar` is not assignable to upper bound `generic[Any]` of type variable `_SCT@Array1D`
+ scipy-stubs/integrate/_odepack_py.pyi:41:31: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:45:31: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:66:31: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:70:31: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:92:31: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:96:31: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:118:31: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:122:31: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:144:25: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:148:25: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:169:25: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:173:25: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:195:25: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:199:25: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:221:25: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/integrate/_odepack_py.pyi:225:25: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
- scipy-stubs/interpolate/_cubic.pyi:89:80: warning[unused-ignore-comment] Unused blanket `type: ignore` directive
+ scipy-stubs/integrate/_rules/_base.pyi:22:36: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/integrate/_rules/_base.pyi:25:36: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/integrate/_rules/_base.pyi:51:23: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/interpolate/_interpolate.pyi:86:18: error[invalid-type-arguments] Type `_CT_co@_PPolyBase` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/interpolate/_interpolate.pyi:191:18: error[invalid-type-arguments] Type `_CT_co@NdPPoly` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/interpolate/_ndbspline.pyi:72:25: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/interpolate/_ndbspline.pyi:77:88: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/interpolate/_rgi.pyi:40:29: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/interpolate/_rgi.pyi:53:29: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/interpolate/_rgi.pyi:66:29: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/linalg/_special_matrices.pyi:41:32: error[invalid-type-arguments] Type `signedinteger[_64Bit]` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:43:34: error[invalid-type-arguments] Type `float64` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:45:36: error[invalid-type-arguments] Type `complex128` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:115:51: error[invalid-type-arguments] Type `_SCT@circulant` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:117:44: error[invalid-type-arguments] Type `_SCT@circulant` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:135:51: error[invalid-type-arguments] Type `_SCT@companion` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:137:44: error[invalid-type-arguments] Type `_SCT@companion` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:155:100: error[invalid-type-arguments] Type `_SCT@convolution_matrix` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:157:93: error[invalid-type-arguments] Type `_SCT@convolution_matrix` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:175:49: error[invalid-type-arguments] Type `_SCT@fiedler` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:177:42: error[invalid-type-arguments] Type `_SCT@fiedler` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:195:59: error[invalid-type-arguments] Type `_SCT@fiedler_companion` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:197:52: error[invalid-type-arguments] Type `_SCT@fiedler_companion` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:221:70: error[invalid-type-arguments] Type `_SCT@leslie` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:223:64: error[invalid-type-arguments] Type `_SCT@leslie` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:225:57: error[invalid-type-arguments] Type `_SCT@leslie` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/linalg/_special_matrices.pyi:233:67: error[invalid-type-arguments] Type `_SCT@kron` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/ndimage/_filters.pyi:583:39: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/ndimage/_filters.pyi:595:49: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/ndimage/_filters.pyi:607:52: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/ndimage/_filters.pyi:619:55: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/ndimage/_filters.pyi:631:35: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/ndimage/_filters.pyi:643:35: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/ndimage/_filters.pyi:725:38: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/ndimage/_filters.pyi:737:48: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/ndimage/_filters.pyi:749:51: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/ndimage/_filters.pyi:761:54: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/ndimage/_filters.pyi:773:34: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/ndimage/_filters.pyi:785:34: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_differentiable_functions.pyi:60:27: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:66:28: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:72:28: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:91:25: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:94:26: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:95:26: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:105:25: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:108:26: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:109:26: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:154:25: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:156:24: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:157:26: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:168:25: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:170:24: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_differentiable_functions.pyi:171:26: error[invalid-type-arguments] Too many type arguments: expected 0, got 1
+ scipy-stubs/optimize/_lbfgsb_py.pyi:70:30: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:89:28: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:91:32: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:108:28: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:128:28: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:128:55: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:149:28: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:149:55: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:151:32: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:170:28: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:170:55: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:172:32: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:191:28: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:191:55: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/optimize/_lbfgsb_py.pyi:193:32: error[invalid-type-arguments] Too many type arguments: expected 1, got 2
+ scipy-stubs/stats/_distribution_infrastructure.pyi:445:19: error[invalid-type-arguments] Type `_ShapeT1@moment` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:449:19: error[invalid-type-arguments] Type `_ShapeT1@moment` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:458:19: error[invalid-type-arguments] Type `_ShapeT1@moment` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:467:19: error[invalid-type-arguments] Type `_ShapeT1@moment` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:476:19: error[invalid-type-arguments] Type `_ShapeT1@moment` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:482:113: error[invalid-type-arguments] Type `_ShapeT1@entropy` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:490:21: error[invalid-type-arguments] Type `_ShapeT1@logentropy` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:498:19: error[invalid-type-arguments] Type `_ShapeT1@pdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:508:108: error[invalid-type-arguments] Type `_ShapeT1@pdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:512:19: error[invalid-type-arguments] Type `_ShapeT1@pdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:532:19: error[invalid-type-arguments] Type `_ShapeT1@logpdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:542:111: error[invalid-type-arguments] Type `_ShapeT1@logpdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:546:19: error[invalid-type-arguments] Type `_ShapeT1@logpdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:566:19: error[invalid-type-arguments] Type `_ShapeT1@pmf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:576:108: error[invalid-type-arguments] Type `_ShapeT1@pmf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:580:19: error[invalid-type-arguments] Type `_ShapeT1@pmf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:600:19: error[invalid-type-arguments] Type `_ShapeT1@logpmf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:610:111: error[invalid-type-arguments] Type `_ShapeT1@logpmf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:614:19: error[invalid-type-arguments] Type `_ShapeT1@logpmf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:640:19: error[invalid-type-arguments] Type `_ShapeT1@cdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:664:19: error[invalid-type-arguments] Type `_ShapeT1@cdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:668:19: error[invalid-type-arguments] Type `_ShapeT1@cdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:677:19: error[invalid-type-arguments] Type `_ShapeT1@cdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:681:19: error[invalid-type-arguments] Type `_ShapeT1@cdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:730:19: error[invalid-type-arguments] Type `_ShapeT1@logcdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:762:19: error[invalid-type-arguments] Type `_ShapeT1@logcdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:766:19: error[invalid-type-arguments] Type `_ShapeT1@logcdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:775:19: error[invalid-type-arguments] Type `_ShapeT1@logcdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:779:19: error[invalid-type-arguments] Type `_ShapeT1@logcdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:834:19: error[invalid-type-arguments] Type `_ShapeT1@ccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:860:19: error[invalid-type-arguments] Type `_ShapeT1@ccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:864:19: error[invalid-type-arguments] Type `_ShapeT1@ccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:873:19: error[invalid-type-arguments] Type `_ShapeT1@ccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:877:19: error[invalid-type-arguments] Type `_ShapeT1@ccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:926:19: error[invalid-type-arguments] Type `_ShapeT1@logccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:958:19: error[invalid-type-arguments] Type `_ShapeT1@logccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:962:19: error[invalid-type-arguments] Type `_ShapeT1@logccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:971:19: error[invalid-type-arguments] Type `_ShapeT1@logccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:975:19: error[invalid-type-arguments] Type `_ShapeT1@logccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:1025:19: error[invalid-type-arguments] Type `_ShapeT1@icdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:1035:110: error[invalid-type-arguments] Type `_ShapeT1@icdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:1039:19: error[invalid-type-arguments] Type `_ShapeT1@icdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:1058:19: error[invalid-type-arguments] Type `_ShapeT1@ilogcdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:1068:116: error[invalid-type-arguments] Type `_ShapeT1@ilogcdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:1072:19: error[invalid-type-arguments] Type `_ShapeT1@ilogcdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:1092:19: error[invalid-type-arguments] Type `_ShapeT1@iccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:1102:111: error[invalid-type-arguments] Type `_ShapeT1@iccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:1106:19: error[invalid-type-arguments] Type `_ShapeT1@iccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:1125:19: error[invalid-type-arguments] Type `_ShapeT1@ilogccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:1135:117: error[invalid-type-arguments] Type `_ShapeT1@ilogccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
+ scipy-stubs/stats/_distribution_infrastructure.pyi:1139:19: error[invalid-type-arguments] Type `_ShapeT1@ilogccdf` is not assignable to upper bound `generic[Any]` of type variable `_SCT@ArrayND`
- scipy-stubs/stats/_multivariate.pyi:427:89: warning[unused-ignore-comment] Unused blanket `type: ignore` directive
- scipy-stubs/stats/_multivariate.pyi:429:108: warning[unused-ignore-comment] Unused blanket `type: ignore` directive
- scipy-stubs/stats/_multivariate.pyi:431:88: warning[unused-ignore-comment] Unused blanket `type: ignore` directive
+ scipy-stubs/stats/_multivariate.pyi:265:20: error[invalid-type-arguments] Type `float64` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/stats/_multivariate.pyi:276:20: error[invalid-type-arguments] Type `float64` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/stats/_multivariate.pyi:300:92: error[invalid-type-arguments] Type `float64` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/stats/_multivariate.pyi:385:20: error[invalid-type-arguments] Type `float64` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/stats/_multivariate.pyi:394:20: error[invalid-type-arguments] Type `float64` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/stats/_multivariate.pyi:417:102: error[invalid-type-arguments] Type `float64` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/stats/_multivariate.pyi:448:102: error[invalid-type-arguments] Type `float64` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/stats/_multivariate.pyi:512:102: error[invalid-type-arguments] Type `_ScalarT_co@_group_rv_gen_mixin` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/stats/_multivariate.pyi:525:92: error[invalid-type-arguments] Type `_ScalarT_co@_group_rv_frozen_mixin` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/stats/_multivariate.pyi:546:112: error[invalid-type-arguments] Type `float64` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/stats/_multivariate.pyi:559:102: error[invalid-type-arguments] Type `float64` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/stats/_multivariate.pyi:817:20: error[invalid-type-arguments] Type `float64` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/stats/_multivariate.pyi:841:20: error[invalid-type-arguments] Type `float64` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
+ scipy-stubs/stats/_multivariate.pyi:855:18: error[invalid-type-arguments] Type `signedinteger[_64Bit]` is not assignable to upper bound `tuple[int, ...]` of type variable `_NDT@Array`
- Found 95 diagnostics
+ Found 258 diagnostics

scikit-build-core (https://github.com/scikit-build/scikit-build-core)
+ src/scikit_build_core/_logging.py:153:13: warning[unsupported-base] Unsupported class base with type `<class 'Mapping[str, Style]'> | <class 'Mapping[str, Divergent]'>`
+ src/scikit_build_core/build/_pathutil.py:25:38: error[invalid-argument-type] Argument to function `__new__` is incorrect: Expected `str | PathLike[str]`, found `DirEntry[Path]`
+ src/scikit_build_core/build/_pathutil.py:27:24: error[invalid-argument-type] Argument to function `__new__` is incorrect: Expected `str | PathLike[str]`, found `DirEntry[Path]`
+ src/scikit_build_core/build/wheel.py:98:20: error[no-matching-overload] No overload of bound method `__init__` matches arguments
- Found 38 diagnostics
+ Found 42 diagnostics

altair (https://github.com/vega/altair)
+ altair/datasets/_reader.py:427:33: error[invalid-argument-type] Argument to bound method `__init__` is incorrect: Expected `Sequence[BaseImpl[LazyFrame[Any]]]`, found `Sequence[BaseImpl[IntoFrameT@reader]] & ~AlwaysFalsy`
- altair/utils/core.py:756:55: warning[unused-ignore-comment] Unused blanket `type: ignore` directive
- altair/utils/plugin_registry.py:110:44: error[invalid-parameter-default] Default value of type `def callable(obj: object, /) -> TypeIs[() -> object]` is not assignable to annotated parameter type `(object, /) -> TypeIs[object]`
+ altair/utils/schemapi.py:976:44: error[invalid-assignment] Object of type `dict[Unknown | str, Unknown | str]` is not assignable to `_TypeMap[Literal["object"]]`
+ altair/vegalite/v6/api.py:376:56: error[invalid-assignment] Object of type `dict[Unknown | str, Unknown | str]` is not assignable to `_TypeMap[Literal["object"]]`
+ altair/vegalite/v6/api.py:532:56: error[invalid-assignment] Object of type `dict[Unknown | str, Unknown | str]` is not assignable to `_TypeMap[Literal["object"]]`
+ altair/vegalite/v6/api.py:548:56: error[invalid-assignment] Object of type `dict[Unknown | str, Unknown | str]` is not assignable to `_TypeMap[Literal["object"]]`
- altair/vegalite/v6/schema/channels.py:22003:35: error[unsupported-operator] Operator `|` is unsupported between objects of type `<class 'str'>` and `<class 'Detail'>`
- altair/vegalite/v6/schema/channels.py:22519:22: error[unsupported-operator] Operator `|` is unsupported between objects of type `<class 'str'>` and `<class 'Detail'>`
- tests/vegalite/v6/test_api.py:1518:10: error[invalid-context-manager] Object of type `PluginEnabler[Unknown, ThemeConfig]` cannot be used with `with` because it does not correctly implement `__exit__`
- tests/vegalite/v6/test_api.py:1523:10: error[invalid-context-manager] Object of type `PluginEnabler[Unknown, ThemeConfig]` cannot be used with `with` because it does not correctly implement `__exit__`
- tests/vegalite/v6/test_api.py:1529:10: error[invalid-context-manager] Object of type `PluginEnabler[Unknown, ThemeConfig]` cannot be used with `with` because it does not correctly implement `__exit__`
+ tests/vegalite/v6/test_api.py:1518:10: error[invalid-context-manager] Object of type `PluginEnabler[Plugin[ThemeConfig], ThemeConfig]` cannot be used with `with` because it does not correctly implement `__exit__`
+ tests/vegalite/v6/test_api.py:1523:10: error[invalid-context-manager] Object of type `PluginEnabler[Plugin[ThemeConfig], ThemeConfig]` cannot be used with `with` because it does not correctly implement `__exit__`
+ tests/vegalite/v6/test_api.py:1529:10: error[invalid-context-manager] Object of type `PluginEnabler[Plugin[ThemeConfig], ThemeConfig]` cannot be used with `with` because it does not correctly implement `__exit__`
- tests/vegalite/v6/test_theme.py:48:14: error[invalid-context-manager] Object of type `PluginEnabler[Unknown, ThemeConfig]` cannot be used with `with` because it does not correctly implement `__exit__`
+ tests/vegalite/v6/test_theme.py:48:14: error[invalid-context-manager] Object of type `PluginEnabler[Plugin[ThemeConfig], ThemeConfig]` cannot be used with `with` because it does not correctly implement `__exit__`
- Found 1107 diagnostics
+ Found 1108 diagnostics

scikit-learn (https://github.com/scikit-learn/scikit-learn)
- sklearn/cluster/_hdbscan/hdbscan.py:131:8: error[unsupported-operator] Operator `>` is not supported between objects of type `tuple[int, Unknown]` and `Literal[1]`
+ sklearn/cluster/_hdbscan/hdbscan.py:131:8: error[unsupported-operator] Operator `>` is not supported between objects of type `tuple[int, Array1D[signedinteger[_32Bit]]]` and `Literal[1]`
- sklearn/cluster/tests/test_k_means.py:1049:15: error[unresolved-attribute] Object of type `spmatrix[float64]` has no attribute `toarray`
- sklearn/cluster/tests/test_k_means.py:1058:9: error[unresolved-attribute] Object of type `spmatrix[float64]` has no attribute `data`
- sklearn/cluster/tests/test_k_means.py:1058:24: error[unresolved-attribute] Object of type `spmatrix[float64]` has no attribute `indices`
- sklearn/cluster/tests/test_k_means.py:1074:15: error[unresolved-attribute] Object of type `spmatrix[float64]` has no attribute `toarray`
+ sklearn/datasets/_rcv1.py:300:13: error[invalid-argument-type] Method `__getitem__` of type `Overload[(ix: CanIndex[int], /) -> Any, (ix: None, /) -> coo_array[Any, tuple[int, int]], (ix: tuple[CanIndex[int], CanIndex[int]], /) -> Any, (ixs: slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | ... omitted 3 union elements, /) -> csr_matrix[Any], (ixs: slice[Any, Any, Any] | EllipsisType | _spbase[bool[bool], tuple[int, int]] | ... omitted 5 union elements, /) -> _Self2T@__getitem__, (ixs: CanIndex[int] | tuple[CanIndex[int]] | tuple[CanIndex[int], slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]] | tuple[slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], CanIndex[int]], /) -> _SelfMatrixT@__getitem__, (ixs: CanIndex[int] | tuple[CanIndex[int]] | tuple[CanIndex[int], slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]] | tuple[slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], CanIndex[int]], /) -> coo_array[Any, tuple[int]], (ixs: tuple[_CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]], /) -> matrix[tuple[int, int], dtype[Any]], (ixs: tuple[_CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]], /) -> ndarray[tuple[int], dtype[Any]]]` cannot be called with key of type `tuple[slice[None, Literal[23149], None], slice[None, None, None]]` on object of type `csr_matrix[Any]`
+ sklearn/datasets/_rcv1.py:304:13: error[invalid-argument-type] Method `__getitem__` of type `Overload[(ix: CanIndex[int], /) -> Any, (ix: None, /) -> coo_array[Any, tuple[int, int]], (ix: tuple[CanIndex[int], CanIndex[int]], /) -> Any, (ixs: slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | ... omitted 3 union elements, /) -> csr_matrix[Any], (ixs: slice[Any, Any, Any] | EllipsisType | _spbase[bool[bool], tuple[int, int]] | ... omitted 5 union elements, /) -> _Self2T@__getitem__, (ixs: CanIndex[int] | tuple[CanIndex[int]] | tuple[CanIndex[int], slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]] | tuple[slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], CanIndex[int]], /) -> _SelfMatrixT@__getitem__, (ixs: CanIndex[int] | tuple[CanIndex[int]] | tuple[CanIndex[int], slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]] | tuple[slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], CanIndex[int]], /) -> coo_array[Any, tuple[int]], (ixs: tuple[_CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]], /) -> matrix[tuple[int, int], dtype[Any]], (ixs: tuple[_CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]], /) -> ndarray[tuple[int], dtype[Any]]]` cannot be called with key of type `tuple[slice[Literal[23149], None, None], slice[None, None, None]]` on object of type `csr_matrix[Any]`
+ sklearn/linear_model/_base.py:435:26: warning[possibly-missing-attribute] Attribute `toarray` may be missing on object of type `(Unknown & SparseABC) | (ndarray[tuple[int, int], dtype[Any]] & SparseABC) | csr_matrix[Any]`
+ sklearn/linear_model/_least_angle.py:1782:13: error[unsupported-operator] Operator `**=` is unsupported between objects of type `ndarray[tuple[Any, ...], dtype[float64 | complex128]]` and `Literal[2]`
- sklearn/linear_model/_omp.py:85:18: error[no-matching-overload] No overload of function `get_blas_funcs` matches arguments
- sklearn/linear_model/_omp.py:86:45: error[invalid-argument-type] Argument to function `get_lapack_funcs` is incorrect: Expected `Sequence[ArrayND]`, found `tuple[Unknown | ndarray[tuple[Any, ...], dtype[Unknown]]]`
- sklearn/linear_model/_omp.py:219:18: error[no-matching-overload] No overload of function `get_blas_funcs` matches arguments
- sklearn/linear_model/_omp.py:220:45: error[invalid-argument-type] Argument to function `get_lapack_funcs` is incorrect: Expected `Sequence[ArrayND]`, found `tuple[Unknown | ndarray[tuple[Any, ...], dtype[Unknown]]]`
- sklearn/linear_model/_stochastic_gradient.py:1686:37: warning[possibly-missing-attribute] Attribute `T` may be missing on object of type `Unknown | None | ndarray[tuple[Any, ...], dtype[Unknown]] | ndarray[tuple[int], dtype[Unknown]] | csr_matrix[Any]`
+ sklearn/linear_model/_stochastic_gradient.py:1686:37: warning[possibly-missing-attribute] Attribute `T` may be missing on object of type `Unknown | None | ndarray[tuple[Any, ...], dtype[Unknown]] | ... omitted 3 union elements`
- sklearn/linear_model/_stochastic_gradient.py:1739:58: warning[possibly-missing-attribute] Attribute `dtype` may be missing on object of type `Unknown | ndarray[tuple[Any, ...], dtype[Unknown]] | ndarray[tuple[int], dtype[Unknown]] | None | csr_matrix[Any]`
+ sklearn/linear_model/_stochastic_gradient.py:1739:58: warning[possibly-missing-attribute] Attribute `dtype` may be missing on object of type `Unknown | ndarray[tuple[Any, ...], dtype[Unknown]] | ndarray[tuple[int], dtype[Unknown]] | ... omitted 3 union elements`
- sklearn/linear_model/_stochastic_gradient.py:2358:58: warning[possibly-missing-attribute] Attribute `dtype` may be missing on object of type `Unknown | ndarray[tuple[Any, ...], dtype[Unknown]] | ndarray[tuple[int], dtype[Unknown]] | None | csr_matrix[Any]`
+ sklearn/linear_model/_stochastic_gradient.py:2358:58: warning[possibly-missing-attribute] Attribute `dtype` may be missing on object of type `Unknown | ndarray[tuple[Any, ...], dtype[Unknown]] | ndarray[tuple[int], dtype[Unknown]] | ... omitted 3 union elements`
- sklearn/linear_model/_stochastic_gradient.py:2447:28: warning[possibly-missing-attribute] Attribute `shape` may be missing on object of type `Unknown | None | ndarray[tuple[Any, ...], dtype[Unknown]] | ndarray[tuple[int], dtype[Unknown]] | csr_matrix[Any]`
+ sklearn/linear_model/_stochastic_gradient.py:2447:28: warning[possibly-missing-attribute] Attribute `shape` may be missing on object of type `Unknown | None | ndarray[tuple[Any, ...], dtype[Unknown]] | ... omitted 3 union elements`
- sklearn/linear_model/_stochastic_gradient.py:2450:32: warning[possibly-missing-attribute] Attribute `shape` may be missing on object of type `Unknown | None | ndarray[tuple[Any, ...], dtype[Unknown]] | ndarray[tuple[int], dtype[Unknown]] | csr_matrix[Any]`
+ sklearn/linear_model/_stochastic_gradient.py:2450:32: warning[possibly-missing-attribute] Attribute `shape` may be missing on object of type `Unknown | None | ndarray[tuple[Any, ...], dtype[Unknown]] | ... omitted 3 union elements`
- sklearn/linear_model/_stochastic_gradient.py:2632:40: warning[possibly-missing-attribute] Attribute `T` may be missing on object of type `Unknown | None | ndarray[tuple[Any, ...], dtype[Unknown]] | ndarray[tuple[int], dtype[Unknown]] | csr_matrix[Any]`
+ sklearn/linear_model/_stochastic_gradient.py:2632:40: warning[possibly-missing-attribute] Attribute `T` may be missing on object of type `Unknown | None | ndarray[tuple[Any, ...], dtype[Unknown]] | ... omitted 3 union elements`
+ sklearn/linear_model/tests/test_base.py:156:16: warning[possibly-missing-attribute] Attribute `ravel` may be missing on object of type `_spbase[Any, tuple[Any, ...]] | ndarray[tuple[Any, ...], dtype[Any]]`
+ sklearn/linear_model/tests/test_base.py:159:48: warning[possibly-missing-attribute] Attribute `ravel` may be missing on object of type `_spbase[Any, tuple[Any, ...]] | ndarray[tuple[Any, ...], dtype[Any]]`
- sklearn/linear_model/tests/test_huber.py:171:44: error[invalid-argument-type] Argument to function `assert_array_almost_equal` is incorrect: Expected `_SupportsArray[dtype[bool[bool] | number[Any, int | float | complex]]] | _NestedSequence[_SupportsArray[dtype[bool[bool] | number[Any, int | float | complex]]]] | int | ... omitted 5 union elements`, found `Unknown | None | ndarray[tuple[Any, ...], dtype[Unknown]] | ndarray[tuple[int], dtype[Unknown]] | csr_matrix[Any]`
+ sklearn/linear_model/tests/test_huber.py:171:44: error[invalid-argument-type] Argument to function `assert_array_almost_equal` is incorrect: Expected `_SupportsArray[dtype[bool[bool] | number[Any, int | float | complex]]] | _NestedSequence[_SupportsArray[dtype[bool[bool] | number[Any, int | float | complex]]]] | int | ... omitted 5 union elements`, found `Unknown | None | ndarray[tuple[Any, ...], dtype[Unknown]] | ... omitted 3 union elements`
- sklearn/linear_model/tests/test_passive_aggressive.py:291:29: warning[possibly-missing-attribute] Attribute `ravel` may be missing on object of type `Unknown | None | ndarray[tuple[Any, ...], dtype[Unknown]] | ndarray[tuple[int], dtype[Unknown]] | csr_matrix[Any]`
+ sklearn/linear_model/tests/test_passive_aggressive.py:291:29: warning[possibly-missing-attribute] Attribute `ravel` may be missing on object of type `Unknown | None | ndarray[tuple[Any, ...], dtype[Unknown]] | ... omitted 3 union elements`
+ sklearn/manifold/tests/test_spectral_embedding.py:406:24: error[no-matching-overload] No overload of function `eigh` matches arguments
+ sklearn/metrics/tests/test_ranking.py:702:35: error[invalid-argument-type] Argument to bound method `rvs` is incorrect: Expected `ToJustIntND`, found `Literal[1]`
+ sklearn/model_selection/_search.py:1165:44: error[invalid-argument-type] Argument to function `rankdata` is incorrect: Expected `ToFloatND`, found `Array`
+ sklearn/multioutput.py:832:33: error[index-out-of-bounds] Index 1 is out of bounds for tuple `tuple[int]` with length 1
+ sklearn/multioutput.py:838:27: error[index-out-of-bounds] Index 1 is out of bounds for tuple `tuple[int]` with length 1
+ sklearn/preprocessing/_label.py:686:17: error[invalid-argument-type] Method `__getitem__` of type `Overload[(ix: CanIndex[int], /) -> Any, (ix: None, /) -> coo_array[Any, tuple[int, int]], (ix: tuple[CanIndex[int], CanIndex[int]], /) -> Any, (ixs: slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | ... omitted 3 union elements, /) -> csr_matrix[Any], (ixs: slice[Any, Any, Any] | EllipsisType | _spbase[bool[bool], tuple[int, int]] | ... omitted 5 union elements, /) -> _Self2T@__getitem__, (ixs: CanIndex[int] | tuple[CanIndex[int]] | tuple[CanIndex[int], slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]] | tuple[slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], CanIndex[int]], /) -> _SelfMatrixT@__getitem__, (ixs: CanIndex[int] | tuple[CanIndex[int]] | tuple[CanIndex[int], slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]] | tuple[slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], CanIndex[int]], /) -> coo_array[Any, tuple[int]], (ixs: tuple[_CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]], /) -> matrix[tuple[int, int], dtype[Any]], (ixs: tuple[_CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]], /) -> ndarray[tuple[int], dtype[Any]]]` cannot be called with key of type `tuple[slice[None, None, None], list[Unknown | int]]` on object of type `csr_matrix[Any]`
+ sklearn/preprocessing/_polynomial.py:1078:25: error[invalid-argument-type] Method `__getitem__` of type `Overload[(ix: CanIndex[int], /) -> float64, (ix: None, /) -> coo_array[float64, tuple[int, int]], (ix: tuple[CanIndex[int], CanIndex[int]], /) -> float64, (ixs: slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | ... omitted 3 union elements, /) -> lil_array[float64], (ixs: slice[Any, Any, Any] | EllipsisType | _spbase[bool[bool], tuple[int, int]] | ... omitted 5 union elements, /) -> _Self2T@__getitem__, (ixs: CanIndex[int] | tuple[CanIndex[int]] | tuple[CanIndex[int], slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]] | tuple[slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], CanIndex[int]], /) -> _SelfMatrixT@__getitem__, (ixs: CanIndex[int] | tuple[CanIndex[int]] | tuple[CanIndex[int], slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]] | tuple[slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], CanIndex[int]], /) -> coo_array[float64, tuple[int]], (ixs: tuple[_CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]], /) -> matrix[tuple[int, int], dtype[float64]], (ixs: tuple[_CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]], /) -> ndarray[tuple[int], dtype[float64]]]` cannot be called with key of type `tuple[slice[None, None, None], slice[Any, Any, Any]]` on object of type `lil_array[float64]`
+ sklearn/preprocessing/_polynomial.py:1078:51: error[invalid-argument-type] Method `__getitem__` of type `Overload[(ix: CanIndex[int], /) -> float64, (ix: None, /) -> coo_array[float64, tuple[int, int]], (ix: tuple[CanIndex[int], CanIndex[int]], /) -> float64, (ixs: slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | ... omitted 3 union elements, /) -> lil_array[float64], (ixs: slice[Any, Any, Any] | EllipsisType | _spbase[bool[bool], tuple[int, int]] | ... omitted 5 union elements, /) -> _Self2T@__getitem__, (ixs: CanIndex[int] | tuple[CanIndex[int]] | tuple[CanIndex[int], slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]] | tuple[slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], CanIndex[int]], /) -> _SelfMatrixT@__getitem__, (ixs: CanIndex[int] | tuple[CanIndex[int]] | tuple[CanIndex[int], slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]] | tuple[slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], CanIndex[int]], /) -> coo_array[float64, tuple[int]], (ixs: tuple[_CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]], /) -> matrix[tuple[int, int], dtype[float64]], (ixs: tuple[_CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]], _CanArrayND[integer[Any] | bool[bool]] | Sequence[int | integer[Any] | bool[bool]]], /) -> ndarray[tuple[int], dtype[float64]]]` cannot be called with key of type `tuple[slice[None, None, None], slice[Any, Any, Any]]` on object of type `lil_array[float64]`
+ sklearn/preprocessing/_polynomial.py:1079:38: error[invalid-argument-type] Method `__getitem__` of type `Overload[(ix: CanIndex[int], /) -> float64, (ix: None, /) -> coo_array[float64, tuple[int, int]], (ix: tuple[CanIndex[int], CanIndex[int]], /) -> float64, (ixs: slice[Any, Any, Any] | EllipsisType | _CanArrayND[integer[Any] | bool[bool]] | ... omitted 3 union elements, /) -> 

... (truncated 34 lines) ...

No memory usage changes detected ✅

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astral-sh-bot bot commented Dec 4, 2025 •
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ecosystem-analyzer results

Lint rule Added Removed Changed
invalid-type-arguments 167 0 0
invalid-argument-type 12 2 1
possibly-missing-attribute 3 1 10
no-matching-overload 4 8 0
invalid-assignment 5 0 0
unsupported-operator 2 2 1
unused-ignore-comment 0 5 0
invalid-context-manager 0 0 4
non-subscriptable 4 0 0
unresolved-attribute 0 4 0
index-out-of-bounds 2 0 0
unsupported-base 0 2 0
invalid-parameter-default 0 1 0
invalid-return-type 0 0 1
Total 199 25 17

Full report with detailed diff (timing results)

@sharkdp sharkdp force-pushed the david/generic-manual-pep695 branch from d2c26fe to d2bff7f Compare December 5, 2025 08:43
@sharkdp sharkdp force-pushed the david/generic-manual-pep695 branch from d2bff7f to e700c86 Compare December 5, 2025 09:01
@sharkdp sharkdp closed this Dec 5, 2025
@sharkdp sharkdp reopened this Dec 5, 2025
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Support generic "manual" PEP 695 type aliases

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