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Document that nested Any makes overload matching ambiguous - #21897

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hasancankeles:fix-21768-nested-any-overload-docs
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Document that nested Any makes overload matching ambiguous#21897
hasancankeles wants to merge 4 commits into
python:masterfrom
hasancankeles:fix-21768-nested-any-overload-docs

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@hasancankeles hasancankeles commented Aug 27, 2026 •
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Fixes #21768. Also covers the overload half of #15630.

Decision

The docs said nested Any is ambiguous. A type alias that expands to the same type (Nested = Sequence[Any]) still first-matched, because alias targets store written Any as TypeOfAny.special_form and has_any_type ignored that. reveal_type even prints Sequence[Any]. Shipping that wording would have promised behavior mypy did not give.

Two options:

  1. Narrow the docs around the alias hole.
  2. Make aliases transparent for this check, which is what the typing spec requires (an alias is the same type as its expansion).

(2) is the safer product path: the user-facing rule stays one sentence, and it matches both the spec and a direct Sequence[Any] annotation. The implementation is narrow: count special_form Any only while expanding a TypeAliasType. Other special-form Anys (incomplete types, _, NewType placeholders) are unchanged.

Proof

On 2.2.0 / 2.3.1 / unfixed main, Nested = Sequence[Any] first-matches (str). With this change, old-style aliases, TypeAlias, and PEP 695 aliases all return Any, same as a written Sequence[Any].

The #15630 repro (TypeSpec = Any; my_origin(spec) is Union under --strict) no longer reports [comparison-overlap]. 2.3.1 still reports it.

Local tests:

  • check-overloading.test: 283 passed, 1 skipped
  • alias / dynamic-typing / type-object suites: 130 passed
  • 15 nested-Any + alias cases, including full-stub collections.abc.Sequence

The #21768 call (Sequence[Any] vs Sequence[int] / object) is still Any. This does not pick the first overload for that case.

Not a backport

This is a behavior change for alias arguments (first-match → Any). 2.2 and 2.3 still first-match. There is no release-2.2 / release-2.3 branch on origin, and this should not be cherry-picked onto a stable release without its own review.

What this PR changes

  • Docs: nested Any is ambiguous, including via a type alias, with examples.
  • HasAnyType counts special-form Any only inside alias expansion.
  • Tests for direct nested Any, dict/tuple/methods, inhabitation, spec three-overload, full stubs, nested aliases, and the Wrong overload resolution with alias to Any #15630 identity check.
  • Changelog entries for the docs clarification and the alias fix.

@hasancankeles
Document that nested Any makes overload matching ambiguous
2817d28 
Fixes python#21768. Sequence[Any] matching both Sequence[int] and object is
ambiguous under the typing spec's overload call evaluation rules, so
the Any result is intended. Clarify the docs and lock the behavior in
with tests.
@hasancankeles hasancankeles mentioned this pull request Aug 27, 2026
Open
@hasancankeles
Strengthen python#21768 proof with inhabitation and spec-matrix tests
80a0c41 
The reporter's first-match expectation is unsound: a Sequence[str]
inhabits Sequence[Any] and selects the object overload (int). The spec
step-5 three-overload example and the existing list[int]/list[str]
matrix also require Any. Nested Any still does not collapse when only
one overload remains.
@hasancankeles
Add practical python#21768 tests and changelog after version audit
8e2f07b 
The nested-Any overload rule is unchanged from mypy 2.2.0 through
current main. Broaden the regression tests to dict values, tuples,
methods, and full typeshed (collections.abc.Sequence). Record that
type aliases still first-match because alias Any is a special form
(python#15630); that is not this issue and is not a backport candidate.
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@hasancankeles
Count Any inside type aliases for overload ambiguity
c5394d8 
Alias targets store a written Any as TypeOfAny.special_form, so
has_any_type ignored Nested = Sequence[Any] and picked the first
overload. That contradicted the new docs and the spec (aliases are
transparent). Count special-form Any only while expanding aliases.

Docs now include an alias example. Tests cover nested and bare Any
aliases, including the python#15630 identity-check repro.
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Diff from mypy_primer, showing the effect of this PR on open source code:

spark (https://github.com/apache/spark)
+ python/pyspark/pandas/series.py:7490: error: Unexpected keyword argument "length" for overloaded function "to_string" of "DataFrame"  [call-overload]

colour (https://github.com/colour-science/colour)
- colour/algebra/common.py:614: error: Unsupported operand types for * ("ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]" and "ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]")  [operator]
- colour/algebra/common.py:614: error: Invalid index type "tuple[EllipsisType, None]" for "floating[_16Bit]"; expected type "tuple[()]"  [index]
- colour/algebra/common.py:614: error: Invalid index type "tuple[EllipsisType, None]" for "floating[_32Bit]"; expected type "tuple[()]"  [index]
- colour/algebra/common.py:614: error: Invalid index type "tuple[EllipsisType, None]" for "float64"; expected type "tuple[()]"  [index]
- colour/temperature/krystek1985.py:117: error: No overload variant of "minimize" matches argument types "Callable[[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]], ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]], floating[_16Bit] | floating[_32Bit] | float64]", "list[int]", "tuple[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]]", "dict[str, Collection[str]]"  [call-overload]
+ colour/temperature/krystek1985.py:117: error: No overload variant of "minimize" matches argument types "Callable[[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]], ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]], floating[_16Bit] | floating[_32Bit] | float64]", "list[int]", "tuple[Any]", "dict[str, Collection[str]]"  [call-overload]
- colour/temperature/kang2002.py:112: error: No overload variant of "minimize" matches argument types "Callable[[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]], ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]], floating[_16Bit] | floating[_32Bit] | float64]", "list[int]", "tuple[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]]", "dict[str, Collection[str]]"  [call-overload]
+ colour/temperature/kang2002.py:112: error: No overload variant of "minimize" matches argument types "Callable[[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]], ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]], floating[_16Bit] | floating[_32Bit] | float64]", "list[int]", "tuple[Any]", "dict[str, Collection[str]]"  [call-overload]
- colour/phenomena/tmm.py:180: error: Unsupported operand types for / ("ndarray[tuple[Any, ...], dtype[generic[Any]]]" and "ndarray[tuple[Any, ...], dtype[generic[Any]]]")  [operator]
+ colour/appearance/hunt.py:607: error: Incompatible return value type (got "floating[_16Bit] | floating[_32Bit] | float64 | ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]", expected "ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]")  [return-value]
- colour/continuous/signal.py:838: error: No overload variant of "__le__" of "number" matches argument type "Buffer"  [operator]
- colour/continuous/signal.py:838: note: Possible overload variants:
- colour/continuous/signal.py:838: note:     def __le__(self, complex | number[Any, Any] | numpy.bool[builtins.bool], /) -> numpy.bool[builtins.bool]
- colour/continuous/signal.py:838: note:     def __le__(self, _SupportsArray[dtype[numpy.bool[builtins.bool] | number[Any, Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool] | number[Any, Any]]]] | complex | _NestedSequence[complex] | _NestedSequence[_SupportsGE], /) -> ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]
- colour/continuous/signal.py:838: note:     def __le__(self, _SupportsGE, /) -> numpy.bool[builtins.bool]
- colour/continuous/signal.py:838: error: Unsupported operand types for <= ("floating[_16Bit]" and "_NestedSequence[complex | bytes | str]")  [operator]
- colour/continuous/signal.py:838: error: Unsupported operand types for <= ("floating[_32Bit]" and "_NestedSequence[complex | bytes | str]")  [operator]
- colour/continuous/signal.py:838: error: Unsupported operand types for <= ("float64" and "_NestedSequence[complex | bytes | str]")  [operator]
- colour/continuous/signal.py:838: error: No overload variant of "__le__" of "number" matches argument type "slice[Any, Any, Any]"  [operator]
- colour/continuous/signal.py:838: note: Both left and right operands are unions
- colour/continuous/signal.py:839: error: No overload variant of "__ge__" of "number" matches argument type "Buffer"  [operator]
- colour/continuous/signal.py:839: note: Possible overload variants:
- colour/continuous/signal.py:839: note:     def __ge__(self, complex | number[Any, Any] | numpy.bool[builtins.bool], /) -> numpy.bool[builtins.bool]
- colour/continuous/signal.py:839: note:     def __ge__(self, _SupportsArray[dtype[numpy.bool[builtins.bool] | number[Any, Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool] | number[Any, Any]]]] | complex | _NestedSequence[complex] | _NestedSequence[_SupportsLE], /) -> ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]
- colour/continuous/signal.py:839: note:     def __ge__(self, _SupportsLE, /) -> numpy.bool[builtins.bool]
- colour/continuous/signal.py:839: error: Unsupported operand types for >= ("floating[_16Bit]" and "_NestedSequence[complex | bytes | str]")  [operator]
- colour/continuous/signal.py:839: error: Unsupported operand types for >= ("floating[_32Bit]" and "_NestedSequence[complex | bytes | str]")  [operator]
- colour/continuous/signal.py:839: error: Unsupported operand types for >= ("float64" and "_NestedSequence[complex | bytes | str]")  [operator]
- colour/continuous/signal.py:839: error: No overload variant of "__ge__" of "number" matches argument type "slice[Any, Any, Any]"  [operator]
- colour/continuous/signal.py:839: note: Both left and right operands are unions
- colour/colorimetry/tristimulus_values.py:480: error: No overload variant of "__mul__" of "ndarray" matches argument type "object"  [operator]
- colour/colorimetry/tristimulus_values.py:480: note: Possible overload variants:
- colour/colorimetry/tristimulus_values.py:480: note:     def __mul__(self, int | numpy.bool[builtins.bool], /) -> ndarray[tuple[Any, ...], dtype[floating[Any]]]
- colour/colorimetry/tristimulus_values.py:480: note:     def __mul__(self, _SupportsArray[dtype[numpy.bool[builtins.bool]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]]]] | builtins.bool | _NestedSequence[builtins.bool], /) -> ndarray[tuple[Any, ...], dtype[floating[Any]]]
- colour/colorimetry/tristimulus_values.py:480: note:     def __mul__(self, _SupportsArray[dtype[floating[_64Bit]]] | _NestedSequence[_SupportsArray[dtype[floating[_64Bit]]]], /) -> ndarray[tuple[Any, ...], dtype[float64]]
- colour/colorimetry/tristimulus_values.py:480: note:     def __mul__(self, _SupportsArray[dtype[complexfloating[_64Bit, _64Bit]]] | _NestedSequence[_SupportsArray[dtype[complexfloating[_64Bit, _64Bit]]]], /) -> ndarray[tuple[Any, ...], dtype[complex128]]
- colour/colorimetry/tristimulus_values.py:480: note:     def __mul__(self, _SupportsArray[dtype[numpy.bool[builtins.bool] | integer[Any] | floating[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool] | integer[Any] | floating[Any]]]] | float | _NestedSequence[float], /) -> ndarray[tuple[Any, ...], dtype[floating[Any]]]
- colour/colorimetry/tristimulus_values.py:480: note:     def __mul__(self, _SupportsArray[dtype[numpy.bool[builtins.bool] | number[Any, Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool] | number[Any, Any]]]] | complex | _NestedSequence[complex], /) -> ndarray[tuple[Any, ...], dtype[complexfloating[Any, Any]]]
- colour/colorimetry/tristimulus_values.py:480: note:     def __mul__(self, _SupportsArray[dtype[numpy.bool[builtins.bool] | number[Any, Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool] | number[Any, Any]]]] | complex | _NestedSequence[complex], /) -> ndarray[tuple[Any, ...], dtype[number[Any, Any]]]
- colour/colorimetry/tristimulus_values.py:480: note:     def __mul__(self, _SupportsArray[dtype[timedelta64[Any]]] | _NestedSequence[_SupportsArray[dtype[timedelta64[Any]]]], /) -> ndarray[tuple[Any, ...], dtype[timedelta64[Any]]]
- colour/colorimetry/tristimulus_values.py:480: note:     def __mul__(self, _SupportsArray[dtype[object_]] | _NestedSequence[_SupportsArray[dtype[object_]]], /) -> Any
- colour/temperature/planck1900.py:120: error: No overload variant of "minimize" matches argument types "Callable[[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]], ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]], floating[_16Bit] | floating[_32Bit] | float64]", "list[int]", "tuple[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]]", "dict[str, Collection[str]]"  [call-overload]
+ colour/temperature/planck1900.py:120: error: No overload variant of "minimize" matches argument types "Callable[[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]], ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]], floating[_16Bit] | floating[_32Bit] | float64]", "list[int]", "tuple[Any]", "dict[str, Collection[str]]"  [call-overload]
- colour/temperature/mccamy1992.py:160: error: No overload variant of "minimize" matches argument types "Callable[[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]], ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]], floating[_16Bit] | floating[_32Bit] | float64]", "Any", "tuple[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]]", "dict[str, Collection[str]]"  [call-overload]
+ colour/temperature/mccamy1992.py:160: error: No overload variant of "minimize" matches argument types "Callable[[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]], ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]], floating[_16Bit] | floating[_32Bit] | float64]", "Any", "tuple[Any]", "dict[str, Collection[str]]"  [call-overload]
- colour/temperature/hernandez1999.py:176: error: No overload variant of "minimize" matches argument types "Callable[[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]], ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]], floating[_16Bit] | floating[_32Bit] | float64]", "Any", "tuple[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]]", "dict[str, Collection[str]]"  [call-overload]
+ colour/temperature/hernandez1999.py:176: error: No overload variant of "minimize" matches argument types "Callable[[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]], ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]], floating[_16Bit] | floating[_32Bit] | float64]", "Any", "tuple[Any]", "dict[str, Collection[str]]"  [call-overload]
- colour/temperature/cie_d.py:113: error: No overload variant of "minimize" matches argument types "Callable[[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]], ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]], floating[_16Bit] | floating[_32Bit] | float64]", "list[int]", "tuple[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]]", "dict[str, Collection[str]]"  [call-overload]
+ colour/temperature/cie_d.py:113: error: No overload variant of "minimize" matches argument types "Callable[[ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]], ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]], floating[_16Bit] | floating[_32Bit] | float64]", "list[int]", "tuple[Any]", "dict[str, Collection[str]]"  [call-overload]
- colour/plotting/common.py:1369: error: Incompatible types in assignment (expression has type "ColourSwatch", variable has type "ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]")  [assignment]
- colour/plotting/common.py:1380: error: "ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]" has no attribute "RGB"  [attr-defined]
- colour/plotting/common.py:1411: error: "ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]" has no attribute "name"  [attr-defined]
- colour/plotting/common.py:1415: error: "ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]]" has no attribute "name"  [attr-defined]
+ colour/plotting/section.py:262: error: Unused "type: ignore" comment  [unused-ignore]
- colour/phenomena/tests/test_tmm.py:287: error: Unsupported operand types for >= ("ndarray[tuple[Any, ...], dtype[generic[Any]]]" and "int")  [operator]
- colour/phenomena/tests/test_tmm.py:288: error: Unsupported operand types for <= ("ndarray[tuple[Any, ...], dtype[generic[Any]]]" and "int")  [operator]
- colour/models/rgb/transfer_functions/tests/test_aces.py:84: error: Incompatible types in assignment (expression has type "ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64 | signedinteger[_8Bit] | signedinteger[_16Bit] | <6 more items>]]", variable has type "ndarray[tuple[Any, ...], dtype[floating[_16Bit] | floating[_32Bit] | float64]] | ndarray[tuple[Any, ...], dtype[signedinteger[_8Bit] | signedinteger[_16Bit] | signedinteger[_32Bit] | signedinteger[_64Bit] | unsignedinteger[_8Bit] | unsignedinteger[_16Bit] | unsignedinteger[_32Bit] | unsignedinteger[_64Bit]]]")  [assignment]

Tanjun (https://github.com/FasterSpeeding/Tanjun)
+ tanjun/_internal/__init__.py:724: error: Item "list[tuple[list[str], MessageCommand[Any]]]" of "_TreeT | list[tuple[list[str], MessageCommand[Any]]]" has no attribute "get"  [union-attr]

pandas-stubs (https://github.com/pandas-dev/pandas-stubs)
+ tests/series/test_truediv.py:149: error: Expression is of type "Any", not "Series[Any]"  [assert-type]
+ tests/series/test_truediv.py:152: error: Expression is of type "Any", not "Series[Any]"  [assert-type]
+ tests/series/test_truediv.py:155: error: Expression is of type "Any", not "Never"  [assert-type]
+ tests/series/test_truediv.py:195: error: Expression is of type "Any", not "Never"  [assert-type]
+ tests/series/test_truediv.py:205: error: Expression is of type "Any", not "Never"  [assert-type]
+ tests/series/test_sub.py:246: error: Expression is of type "Any", not "Series[Timedelta]"  [assert-type]
+ tests/series/test_mul.py:80: error: Expression is of type "Any", not "Series[Any]"  [assert-type]
+ tests/series/test_mul.py:81: error: Expression is of type "Any", not "Series[Any]"  [assert-type]
+ tests/series/test_mul.py:82: error: Expression is of type "Any", not "Series[Any]"  [assert-type]
+ tests/series/test_mul.py:83: error: Expression is of type "Any", not "Series[Any]"  [assert-type]
+ tests/series/test_floordiv.py:124: error: Expression is of type "Any", not "Series[Any]"  [assert-type]
+ tests/series/test_floordiv.py:125: error: Expression is of type "Any", not "Series[Any]"  [assert-type]
+ tests/series/test_floordiv.py:126: error: Expression is of type "Any", not "Series[Any]"  [assert-type]
+ tests/series/test_floordiv.py:135: error: Expression is of type "Any", not "Never"  [assert-type]
+ tests/series/test_floordiv.py:171: error: Expression is of type "Any", not "Never"  [assert-type]
+ tests/series/test_floordiv.py:180: error: Expression is of type "Series[Any]", not "Series[Timedelta]"  [assert-type]
+ tests/series/test_add.py:83: error: Expression is of type "Any", not "Series[Any]"  [assert-type]
+ tests/series/test_add.py:84: error: Expression is of type "Any", not "Series[Any]"  [assert-type]
+ tests/series/test_add.py:85: error: Expression is of type "Any", not "Series[Any]"  [assert-type]
+ tests/series/test_add.py:86: error: Expression is of type "Any", not "Series[Any]"  [assert-type]
+ tests/indexes/test_truediv.py:61: error: Expression is of type "Any", not "Index[Any]"  [assert-type]
+ tests/indexes/test_mul.py:60: error: Expression is of type "Any", not "Index[Any]"  [assert-type]
+ tests/indexes/test_mul.py:62: error: Expression is of type "Any", not "Index[Any]"  [assert-type]
+ tests/indexes/test_mul.py:63: error: Expression is of type "Any", not "Index[Any]"  [assert-type]
+ tests/indexes/test_floordiv.py:84: error: Expression is of type "Any", not "Index[Any]"  [assert-type]
+ tests/indexes/test_floordiv.py:85: error: Expression is of type "Any", not "Index[Any]"  [assert-type]
+ tests/indexes/test_floordiv.py:86: error: Expression is of type "Any", not "Index[Any]"  [assert-type]
+ tests/indexes/test_add.py:56: error: Expression is of type "Any", not "Index[Any]"  [assert-type]
+ tests/indexes/test_add.py:57: error: Expression is of type "Any", not "Index[Any]"  [assert-type]
+ tests/indexes/test_add.py:58: error: Expression is of type "Any", not "Index[Any]"  [assert-type]
+ tests/indexes/test_add.py:59: error: Expression is of type "Any", not "Index[Any]"  [assert-type]
+ tests/scalars/test_scalars.py:1939: error: Expression is of type "Any", not "ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]"  [assert-type]
+ tests/scalars/test_scalars.py:1944: error: Expression is of type "Any", not "ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]"  [assert-type]
+ tests/indexes/test_indexes.py:627: error: Expression is of type "IntervalIndex[Any]", not "IntervalIndex[Interval[int]]"  [assert-type]
+ tests/indexes/test_indexes.py:635: error: Expression is of type "IntervalIndex[Any]", not "IntervalIndex[Interval[float]]"  [assert-type]
+ tests/indexes/test_indexes.py:738: error: Expression is of type "IntervalIndex[Any]", not "IntervalIndex[Interval[int]]"  [assert-type]
+ tests/indexes/test_indexes.py:749: error: Expression is of type "IntervalIndex[Any]", not "IntervalIndex[Interval[float]]"  [assert-type]
+ tests/arrays/test_timedeltas.py:60: error: Expression is of type "Any", not "TimedeltaArray"  [assert-type]
+ tests/arrays/test_categorical.py:58: error: Expression is of type "Categorical[Any]", not "Categorical[str]"  [assert-type]
+ tests/series/float/test_dtypes.py:26: error: Expression is of type "Series[Any]", not "Series[float]"  [assert-type]
+ tests/indexes/float/test_dtypes.py:30: error: Expression is of type "Any", not "Index[float]"  [assert-type]
+ tests/arrays/test_integer.py:73: error: Expression is of type "Any", not "IntegerArray"  [assert-type]
+ tests/arrays/test_floating.py:85: error: Expression is of type "Any", not "FloatingArray"  [assert-type]
+ tests/arrays/test_datetime_array.py:354: error: Expression is of type "Any", not "DatetimeArray"  [assert-type]
+ tests/arrays/test_boolean.py:60: error: Expression is of type "Any", not "BooleanArray"  [assert-type]
+ tests/arrays/test_base_string_.py:65: error: Expression is of type "Any", not "BaseStringArray[None]"  [assert-type]

trio (https://github.com/python-trio/trio)
+ src/trio/_socket.py:760: error: Type of decorated function contains type "Any" ("Callable[[SocketType, Iterable[Buffer], Iterable[tuple[int, int, Buffer]], int, Any | None], Coroutine[Any, Any, int]]")  [misc]
+ src/trio/_socket.py:1288: error: Type of decorated function contains type "Any" ("Callable[[_SocketType, Iterable[Buffer], Iterable[tuple[int, int, Buffer]], int, Any | None], Coroutine[Any, Any, int]]")  [misc]
+ src/trio/_core/_run.py:2713: error: Type of decorated function contains type "Any" ("Callable[[Runner, def (*args: *PosArgT) -> Awaitable[object], tuple[*PosArgT], bool], Generator[float, list[tuple[int, int]], None]]")  [misc]
+ src/trio/_core/_tests/test_io.py:96: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_core/_tests/test_io.py:166: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_core/_tests/test_io.py:179: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_core/_tests/test_io.py:195: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_core/_tests/test_io.py:222: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_core/_tests/test_io.py:254: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_tests/test_subprocess.py:123: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_tests/test_subprocess.py:141: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_tests/test_subprocess.py:161: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_tests/test_subprocess.py:176: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_tests/test_subprocess.py:196: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_tests/test_subprocess.py:224: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_tests/test_subprocess.py:259: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_tests/test_subprocess.py:425: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_tests/test_subprocess.py:509: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_tests/test_subprocess.py:540: error: Function is untyped after decorator transformation  [misc]
+ src/trio/_tests/test_subprocess.py:562: error: Function is untyped after decorator transformation  [misc]

pandas (https://github.com/pandas-dev/pandas)
+ pandas/core/algorithms.py:683: error: Item "SequenceNotStr[Any]" of "ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Index | Series | SequenceNotStr[Any] | range" has no attribute "dtype"  [union-attr]
+ pandas/core/algorithms.py:683: error: Item "range" of "ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Index | Series | SequenceNotStr[Any] | range" has no attribute "dtype"  [union-attr]
+ pandas/core/algorithms.py:683: error: Argument 1 to "np_find_common_type" has incompatible type "ExtensionDtype | dtype[Any] | Any"; expected "dtype[Any]"  [arg-type]
+ pandas/core/algorithms.py:685: error: Argument 1 to "_may_lose_precision_as_float64" has incompatible type "ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Index | Series | SequenceNotStr[Any] | range"; expected "ndarray[tuple[Any, ...], dtype[Any]]"  [arg-type]
+ pandas/core/algorithms.py:707: error: Item "builtins.bool" of "builtins.bool | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | NDFrame" has no attribute "any"  [union-attr]
+ pandas/core/algorithms.py:719: error: Item "SequenceNotStr[Any]" of "ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Index | Series | SequenceNotStr[Any] | range" has no attribute "astype"  [union-attr]
+ pandas/core/algorithms.py:719: error: Item "range" of "ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Index | Series | SequenceNotStr[Any] | range" has no attribute "astype"  [union-attr]
+ pandas/core/arrays/base.py:3173: error: Unused "type: ignore" comment  [unused-ignore]
+ pandas/io/parsers/base_parser.py:530: error: Unused "type: ignore" comment  [unused-ignore]
+ pandas/io/parsers/base_parser.py:532: error: Unused "type: ignore" comment  [unused-ignore]
+ pandas/io/formats/format.py:1264: error: Unused "type: ignore" comment  [unused-ignore]
+ pandas/core/internals/managers.py:600: error: Unused "type: ignore" comment  [unused-ignore]
+ pandas/core/indexes/base.py:6116: error: Unused "type: ignore" comment  [unused-ignore]
+ pandas/core/groupby/groupby.py:4553: error: Unused "type: ignore" comment  [unused-ignore]
+ pandas/core/resample.py:2835: error: Unused "type: ignore" comment  [unused-ignore]

jax (https://github.com/google/jax)
- jax/experimental/mosaic/gpu/mma.py:158: error: Incompatible types in assignment (expression has type "ndarray[tuple[()], Any]", variable has type "list[Any]")  [assignment]
+ jax/experimental/mosaic/gpu/mma.py:158: error: Incompatible types in assignment (expression has type "ndarray[Any, Any]", variable has type "list[Any]")  [assignment]
- jax/_src/third_party/scipy/special.py:304: note: Left operand is of type "Array | ndarray[tuple[Any, ...], dtype[Any]] | ndarray[tuple[Any, ...], dtype[number[Any, Any]]] | ndarray[tuple[Any, ...], dtype[float64]] | ndarray[tuple[Any, ...], dtype[complex128]] | <7 more items>"
+ jax/_src/third_party/scipy/special.py:304: note: Left operand is of type "Array | ndarray[tuple[Any, ...], dtype[Any]] | Any | ndarray[tuple[Any, ...], dtype[number[Any, Any]]] | ndarray[tuple[Any, ...], dtype[float64]] | <7 more items>"

meson (https://github.com/mesonbuild/meson)
+ mesonbuild/interpreter/interpreter.py:2082:13: error: Returning Any from function declared to return "Executable | StaticLibrary | SharedLibrary | SharedModule | BothLibraries | Jar"  [no-any-return]

static-frame (https://github.com/static-frame/static-frame)
+ static_frame/core/util.py:2656: error: Returning Any from function declared to return "ndarray[Any, Any]"  [no-any-return]
+ static_frame/core/util.py:2698: error: Returning Any from function declared to return "ndarray[Any, Any]"  [no-any-return]
+ static_frame/core/util.py:2961: error: Returning Any from function declared to return "ndarray[Any, Any]"  [no-any-return]
+ static_frame/core/rank.py:166: error: Unused "type: ignore" comment  [unused-ignore]
+ static_frame/core/node_fill_value.py:211: error: Returning Any from function declared to return "Frame[Any, Any, *tuple[Any, ...]] | Series[Any, Any]"  [no-any-return]
+ static_frame/core/container_util.py:1782: error: Returning Any from function declared to return "Hashable | int | integer[Any] | builtins.bool | numpy.bool[builtins.bool] | float | <9 more items> | None"  [no-any-return]
+ static_frame/core/series.py:3391: error: Returning Any from function declared to return "TLabel | ndarray[Any, Any]"  [no-any-return]

scipy-stubs (https://github.com/scipy/scipy-stubs)
+ tests/spatial/test_distance.pyi:85: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/spatial/test_distance.pyi:89: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/spatial/test_distance.pyi:137: error: Expression is of type "Any", not "float64"  [assert-type]
+ tests/spatial/test_distance.pyi:140: error: Expression is of type "Any", not "float64"  [assert-type]
+ tests/spatial/test_distance.pyi:141: error: Expression is of type "Any", not "complex128"  [assert-type]
+ tests/spatial/test_distance.pyi:142: error: Expression is of type "Any", not "complex128"  [assert-type]
+ tests/spatial/test_distance.pyi:143: error: Expression is of type "Any", not "complex128"  [assert-type]
+ tests/spatial/test_distance.pyi:148: error: Expression is of type "Any", not "float64"  [assert-type]
+ tests/spatial/test_distance.pyi:149: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:150: error: Expression is of type "Any", not "float64 | ndarray[tuple[Any, ...], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:151: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:152: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:153: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[Any, ...], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:168: error: Expression is of type "Any", not "float64"  [assert-type]
+ tests/spatial/test_distance.pyi:169: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:170: error: Expression is of type "Any", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:171: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:172: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:173: error: Expression is of type "Any", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:174: error: Expression is of type "Any", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:175: error: Expression is of type "Any", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:176: error: Expression is of type "Any", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:179: error: Expression is of type "Any", not "float64"  [assert-type]
+ tests/spatial/test_distance.pyi:180: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:181: error: Expression is of type "Any", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:182: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:183: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:184: error: Expression is of type "Any", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:185: error: Expression is of type "Any", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:186: error: Expression is of type "Any", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:187: error: Expression is of type "Any", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:190: error: Expression is of type "Any", not "float64"  [assert-type]
+ tests/spatial/test_distance.pyi:191: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:192: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:193: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/spatial/test_distance.pyi:194: error: Expression is of type "Any", not "complex128"  [assert-type]
+ tests/spatial/test_distance.pyi:195: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[complex128]]"  [assert-type]
+ tests/spatial/test_distance.pyi:196: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[complex128]]"  [assert-type]
+ tests/spatial/test_distance.pyi:197: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[complex128]]"  [assert-type]
+ tests/spatial/test_distance.pyi:198: error: Expression is of type "Any", not "complex128"  [assert-type]
+ tests/spatial/test_distance.pyi:199: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[complex128]]"  [assert-type]
+ tests/spatial/test_distance.pyi:200: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[complex128]]"  [assert-type]
+ tests/spatial/test_distance.pyi:201: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[complex128]]"  [assert-type]
+ tests/spatial/test_distance.pyi:202: error: Expression is of type "Any", not "complex128"  [assert-type]
+ tests/spatial/test_distance.pyi:203: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[complex128]]"  [assert-type]
+ tests/spatial/test_distance.pyi:204: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[complex128]]"  [assert-type]
+ tests/spatial/test_distance.pyi:205: error: Expression is of type "Any", not "ndarray[tuple[int], dtype[complex128]]"  [assert-type]
+ tests/sparse/linalg/test__minres.pyi:25: error: Expression is of type "tuple[Any, ...]", not "tuple[ndarray[tuple[int], dtype[floating[_32Bit]]], int]"  [assert-type]
+ tests/sparse/linalg/test__minres.pyi:27: error: Expression is of type "tuple[Any, ...]", not "tuple[ndarray[tuple[int], dtype[complexfloating[_32Bit, _32Bit]]], int]"  [assert-type]
+ tests/sparse/linalg/test__minres.pyi:28: error: Expression is of type "tuple[Any, ...]", not "tuple[ndarray[tuple[int], dtype[complex128]], int]"  [assert-type]
+ tests/sparse/linalg/test__matfuncs.pyi:138: error: Expression is of type "Any", not "dok_array[signedinteger[_16Bit], tuple[int, int]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:33: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:34: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:35: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[Any, ...], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:37: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:38: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:39: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[Any, ...], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:41: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:42: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:43: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[Any, ...], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:45: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:46: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:47: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[Any, ...], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:49: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:50: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:51: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[Any, ...], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:53: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:54: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:55: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[Any, ...], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:57: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:58: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:59: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[Any, ...], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:61: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:62: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:63: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[Any, ...], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:65: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:66: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:67: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[Any, ...], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:69: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:70: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:71: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[Any, ...], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:73: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:74: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:75: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[Any, ...], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:77: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:78: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__expm_multiply.pyi:79: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[Any, ...], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:58: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:59: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:62: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[complex128]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:63: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[complex128]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:66: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:67: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[floating[_32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:70: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[complexfloating[_32Bit, _32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:71: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[complexfloating[_32Bit, _32Bit]]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:85: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:86: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:87: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[complex128]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:88: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[complex128]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:91: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:92: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:93: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[complex128]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:94: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[complex128]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:116: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:117: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:118: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[float64]]"  [assert-type]
+ tests/sparse/linalg/test__dsolve.pyi:121: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[complex128]]"  [assert-type]
+ tests/ndimage/test__morphology.pyi:54: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int], dtype[numpy.bool[builtins.bool]]]"  [assert-type]
+ tests/ndimage/test__morphology.pyi:55: error: Expression is of type "ndarray[Any, Any]", not "ndarray[tuple[int, int], dtype[numpy.bool[builtins.bool]]]"  [assert-type]
+ tests/ndimage/test__morphology.pyi:57: error: Expression is of type "tuple[Any, ...]", not "tuple[ndarray[tuple[int], dtype[numpy.bool[builtins.bool]]], list[int]]"  [assert-type]
+ tests/ndimage/test__morphology.pyi:58: error: Expression is of type "tuple[Any, ...]", not "tuple[ndarray[tuple[int, int], dtype[numpy.bool[builtins.bool]]], list[int]]"  [assert-type]

... (truncated 4355 lines) ...

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Overload resolution collapses to Any when Any is nested inside a generic argument, not just top-level

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@hasancankeles