rclip (https://github.com/yurijmikhalevich/rclip)
- rclip/model.py:218: error: Argument "key" to "sorted" has incompatible type "Callable[[tuple[float64, int]], float64]"; expected "Callable[[tuple[float64, int]], SupportsDunderLT[Any] | SupportsDunderGT[Any]]"  [arg-type]
- rclip/model.py:218: error: Incompatible return value type (got "float64", expected "SupportsDunderLT[Any] | SupportsDunderGT[Any]")  [return-value]
- rclip/model.py:220: error: Incompatible return value type (got "list[tuple[float64, int]]", expected "list[tuple[float, int]]")  [return-value]
- rclip/model.py:220: note: "List" is invariant -- see https://mypy.readthedocs.io/en/stable/common_issues.html#variance
- rclip/model.py:220: note: Consider using "Sequence" instead, which is covariant
- rclip/model.py:220: note: Perhaps you need a type annotation for "sorted_similarities"? Suggestion: "list[tuple[float, int]]"

xarray (https://github.com/pydata/xarray)
+ xarray/tests/test_namedarray.py:212: error: Argument 2 to "NamedArray" has incompatible type "ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]]"; expected "_arrayfunction[Any, Never] | _arrayapi[Any, Never]"  [arg-type]
+ xarray/tests/test_namedarray.py: note: In member "test_duck_array_class" of class "TestNamedArray":
+ xarray/tests/test_namedarray.py:373: error: Argument 1 to "check_duck_array_typevar" has incompatible type "ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]]"; expected "_arrayfunction[Any, Never] | _arrayapi[Any, Never]"  [arg-type]
+ xarray/tests/test_namedarray.py:377: error: Argument 1 to "check_duck_array_typevar" has incompatible type "MaskedArray[Any, dtype[signedinteger[_64Bit]]]"; expected "_arrayfunction[Any, Never] | _arrayapi[Any, Never]"  [arg-type]
+ xarray/tests/test_namedarray.py: note: In class "TestNamedArray":
+ xarray/tests/test_namedarray.py: note: In member "test_warn_on_repeated_dimension_names" of class "TestNamedArray":
+ xarray/tests/test_namedarray.py:592: error: Argument 2 to "NamedArray" has incompatible type "ndarray[tuple[int, int], dtype[signedinteger[Any]]]"; expected "_arrayfunction[Any, Never] | _arrayapi[Any, Never]"  [arg-type]

jax (https://github.com/google/jax)
+ jax/_src/pallas/hlo_interpreter.py:93: error: Unused "type: ignore" comment  [unused-ignore]

static-frame (https://github.com/static-frame/static-frame)
- static_frame/core/loc_map.py:428: error: Incompatible types in assignment (expression has type "unsignedinteger[_64Bit]", variable has type "ndarray[tuple[Any, ...], dtype[unsignedinteger[_64Bit]]]")  [assignment]
+ static_frame/core/container_util.py:1339: error: Unused "type: ignore" comment  [unused-ignore]

dedupe (https://github.com/dedupeio/dedupe)
- dedupe/clustering.py:59: error: Incompatible types in assignment (expression has type "signedinteger[_64Bit]", variable has type "int")  [assignment]
- dedupe/labeler.py:199: error: Generator has incompatible item type "tuple[int | str, int | str]"; expected "tuple[int, int] | tuple[str, str]"  [misc]
- dedupe/convenience.py:99: error: "signedinteger[_64Bit]" object is not iterable  [misc]
- dedupe/convenience.py:99: error: Cannot determine type of "p"  [has-type]
- dedupe/convenience.py:99: error: Cannot determine type of "q"  [has-type]

hydpy (https://github.com/hydpy-dev/hydpy)
- hydpy/core/objecttools.py:955: error: Argument 1 to "repr_values" has incompatible type "Sequence[object] | ndarray[tuple[Any, ...], dtype[generic[Any]]] | generic[Any]"; expected "Sequence[object] | ndarray[tuple[Any, ...], dtype[generic[Any]]]"  [arg-type]
- hydpy/core/netcdftools.py:489: error: Argument 1 to "join" of "bytes" has incompatible type "bytes_"; expected "Iterable[Buffer]"  [arg-type]
- hydpy/core/netcdftools.py:489: note: Following member(s) of "bytes_" have conflicts:
- hydpy/core/netcdftools.py:489: note:     Expected:
- hydpy/core/netcdftools.py:489: note:         def __iter__(self) -> Iterator[Buffer]
- hydpy/core/netcdftools.py:489: note:     Got:
- hydpy/core/netcdftools.py:489: note:         def __iter__(self) -> Iterator[int]
- hydpy/core/netcdftools.py:489: note:     Expected:
- hydpy/core/netcdftools.py:489: note:         def __iter__(self) -> Iterator[Buffer]
- hydpy/core/netcdftools.py:489: note:     Got:
- hydpy/core/netcdftools.py:489: note:         def __iter__(self) -> Iterator[int]
- hydpy/core/netcdftools.py:489: note:     Expected:
- hydpy/core/netcdftools.py:489: note:         def __iter__(self) -> Iterator[Buffer]
- hydpy/core/netcdftools.py:489: note:     Got:
- hydpy/core/netcdftools.py:489: note:         def __iter__(self) -> Iterator[int]
- hydpy/core/itemtools.py:951: error: Argument 2 to "update_variable" of "ChangeItem" has incompatible type "float64"; expected "ndarray[tuple[Any, ...], dtype[float64]]"  [arg-type]
- hydpy/core/itemtools.py:954: error: Argument 2 to "update_variable" of "ChangeItem" has incompatible type "float64"; expected "ndarray[tuple[Any, ...], dtype[float64]]"  [arg-type]
- hydpy/auxs/ppolytools.py:253: error: Value of type variable "_AnyShapeT" of "__call__" of "_ConstructorEmpty" cannot be "tuple[int, signedinteger[_64Bit]]"  [type-var]
- hydpy/auxs/ppolytools.py:253: error: Value of type variable "SupportsRichComparisonT" of "max" cannot be "signedinteger[_64Bit]"  [type-var]
- hydpy/auxs/ppolytools.py:661: error: Value of type "float64" is not indexable  [index]

spark (https://github.com/apache/spark)
- python/pyspark/sql/streaming/benchmark/utils.py:26: error: Incompatible types in string interpolation (expression has type "floating[Any]", placeholder has type "int | float")  [str-format]

scipy (https://github.com/scipy/scipy)
- scipy/spatial/tests/test_spherical_voronoi.py:194: error: Value of type variable "SupportsRichComparisonT" of "sorted" cannot be "floating[Any]"  [type-var]

pandas (https://github.com/pandas-dev/pandas)
+ pandas/core/array_algos/quantile.py:199: error: Unused "type: ignore" comment  [unused-ignore]
+ pandas/core/sorting.py:479: error: Unused "type: ignore" comment  [unused-ignore]
- pandas/tseries/frequencies.py:274: error: List comprehension has incompatible type List[floating[_64Bit]]; expected List[int]  [misc]
- pandas/tseries/frequencies.py:279: error: List comprehension has incompatible type List[floating[_64Bit]]; expected List[int]  [misc]
- pandas/core/arrays/datetimelike.py:1293: error: No overload variant of "__mul__" of "BaseOffset" matches argument type "signedinteger[_64Bit]"  [operator]
- pandas/core/arrays/datetimelike.py:1293: note: Possible overload variants:
- pandas/core/arrays/datetimelike.py:1293: note:     def __mul__(self, ndarray[tuple[Any, ...], dtype[Any]], /) -> ndarray[tuple[Any, ...], dtype[Any]]
- pandas/core/arrays/datetimelike.py:1293: note:     def __mul__(self, int, /) -> BaseOffset
- pandas/io/stata.py:1448: error: Invalid index type "unsignedinteger[_8Bit]" for "dict[int, int]"; expected type "int"  [index]
- pandas/io/stata.py:1450: error: Argument 1 to "append" of "list" has incompatible type "unsignedinteger[_8Bit]"; expected "int"  [arg-type]
+ pandas/io/parsers/python_parser.py:1471: error: Unused "type: ignore" comment  [unused-ignore]
- pandas/core/internals/managers.py:1527: error: "BlockPlacement" has no attribute "increment_above"  [attr-defined]
+ pandas/core/internals/construction.py:637: error: Unused "type: ignore" comment  [unused-ignore]
+ pandas/core/internals/blocks.py:2101: error: Unused "type: ignore" comment  [unused-ignore]
- pandas/io/formats/style_render.py:1243: error: Invalid index type "tuple[signedinteger[_32Bit | _64Bit], signedinteger[_32Bit | _64Bit]]" for "defaultdict[tuple[int, int], Callable[[Any], str]]"; expected type "tuple[int, int]"  [index]