ERROR pandas/_config/localization.py:174:31-42: `out_locales` may be uninitialized [unbound-name]
ERROR pandas/_config/localization.py:177:39-50: `out_locales` may be uninitialized [unbound-name]
ERROR pandas/_libs/sparse.pyi:44:9-18: Class member `BlockIndex.intersect` overrides parent class `SparseIndex` in an inconsistent manner [bad-override-param-name]
ERROR pandas/_libs/sparse.pyi:45:9-19: Class member `BlockIndex.make_union` overrides parent class `SparseIndex` in an inconsistent manner [bad-override-param-name]
ERROR pandas/_testing/__init__.py:175:8-21: No matching overload found for function `numpy.datetime64.__new__` called with arguments: (type[datetime64[_DT64ItemT_co]], Literal['NaT'], str) [no-matching-overload]
ERROR pandas/_testing/__init__.py:175:8-21: No matching overload found for function `numpy.timedelta64.__new__` called with arguments: (type[timedelta64[_TD64ItemT_co]], Literal['NaT'], str) [no-matching-overload]
ERROR pandas/_testing/__init__.py:580:17-24: `barrier` may be uninitialized [unbound-name]
ERROR pandas/_testing/_hypothesis.py:57:15-55: Argument `NaTType | datetime` is not assignable to parameter `min_value` with type `datetime` in function `hypothesis.strategies._internal.datetime.datetimes` [bad-argument-type]
ERROR pandas/_testing/_hypothesis.py:58:15-55: Argument `NaTType | datetime` is not assignable to parameter `max_value` with type `datetime` in function `hypothesis.strategies._internal.datetime.datetimes` [bad-argument-type]
ERROR pandas/compat/numpy/function.py:183:5-28: Implementation signature `(axis: ndarray | AxisNoneT, args: tuple[Any, ...], kwargs: dict[str, Any]) -> AxisNoneT | None` does not accept all arguments that overload signature `(axis: AxisNoneT, args: tuple[Any, ...], kwargs: dict[str, Any]) -> AxisNoneT` accepts [inconsistent-overload]
ERROR pandas/compat/pickle_compat.py:104:36-39: Expected 1 positional argument, got 3 in function `object.__new__` [bad-argument-count]
ERROR pandas/compat/pickle_compat.py:107:36-39: Expected 1 positional argument, got 3 in function `object.__new__` [bad-argument-count]
ERROR pandas/compat/pyarrow.py:14:29-43: Argument `str | Unknown | None` is not assignable to parameter `version` with type `str` in function `pandas.util.version.Version.__init__` [bad-argument-type]
ERROR pandas/compat/pyarrow.py:80:20-30: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/compat/pyarrow.py:82:26-36: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/compat/pyarrow.py:83:20-30: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/compat/pyarrow.py:93:14-24: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/compat/pyarrow.py:93:25-35: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/compat/pyarrow.py:95:12-22: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/compat/pyarrow.py:95:23-33: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/conftest.py:824:9-16: Cannot set item in `list[int]` [unsupported-operation]
ERROR pandas/conftest.py:824:27-38: Cannot index into `int` [bad-index]
ERROR pandas/conftest.py:825:9-17: Cannot set item in `list[int]` [unsupported-operation]
ERROR pandas/conftest.py:825:28-40: Cannot index into `int` [bad-index]
ERROR pandas/conftest.py:826:39-43: Argument `list[int] | list[Unknown] | Unknown` is not assignable to parameter `tuples` with type `Iterable[tuple[Hashable, ...]]` in function `pandas.core.indexes.multi.MultiIndex.from_tuples` [bad-argument-type]
ERROR pandas/conftest.py:831:26-30: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[object_]] | ndarray | Unknown` is not assignable to parameter `start` with type `RangeIndex | int | integer | range | None` in function `pandas.core.indexes.range.RangeIndex.__new__` [bad-argument-type]
ERROR pandas/conftest.py:853:22-26: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[object_]] | ndarray | Unknown` is not assignable to parameter `start` with type `RangeIndex | int | integer | range | None` in function `pandas.core.indexes.range.RangeIndex.__new__` [bad-argument-type]
ERROR pandas/conftest.py:1575:12-1577:6: Returned type `NaTType | Timestamp` is not assignable to declared return type `Timestamp` [bad-return]
ERROR pandas/core/_numba/executor.py:52:22-54: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/_numba/executor.py:56:22-54: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/_numba/executor.py:88:22-51: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/_numba/executor.py:114:22-51: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/_numba/extensions.py:22:5-16: Could not import `NativeValue` from `numba.core.extending` [missing-module-attribute]
ERROR pandas/core/_numba/extensions.py:23:5-8: Could not import `box` from `numba.core.extending` [missing-module-attribute]
ERROR pandas/core/_numba/extensions.py:24:5-18: Could not import `lower_builtin` from `numba.core.extending` [missing-module-attribute]
ERROR pandas/core/_numba/extensions.py:29:5-19: Could not import `register_model` from `numba.core.extending` [missing-module-attribute]
ERROR pandas/core/_numba/extensions.py:31:5-16: Could not import `typeof_impl` from `numba.core.extending` [missing-module-attribute]
ERROR pandas/core/_numba/extensions.py:32:5-10: Could not import `unbox` from `numba.core.extending` [missing-module-attribute]
ERROR pandas/core/_numba/extensions.py:61:9-26: Object of class `Index` has no attribute `_numba_data` [missing-attribute]
ERROR pandas/core/_numba/extensions.py:64:13-30: Object of class `Index` has no attribute `_numba_data` [missing-attribute]
ERROR pandas/core/_numba/extensions.py:74:48-51: Expected a type form, got instance of `(iterable: Iterable[object], /) -> bool` [not-a-type]
ERROR pandas/core/_numba/extensions.py:574:28-36: Missing argument `obj` in function `pandas._libs.indexing.NDFrameIndexerBase.__init__` [missing-argument]
ERROR pandas/core/_numba/kernels/mean_.py:135:21-47: `num_consecutive_same_value` is uninitialized [unbound-name]
ERROR pandas/core/_numba/kernels/mean_.py:136:21-31: `prev_value` is uninitialized [unbound-name]
ERROR pandas/core/_numba/kernels/mean_.py:141:16-42: `num_consecutive_same_value` may be uninitialized [unbound-name]
ERROR pandas/core/_numba/kernels/mean_.py:142:26-36: `prev_value` may be uninitialized [unbound-name]
ERROR pandas/core/_numba/kernels/sum_.py:135:21-47: `num_consecutive_same_value` is uninitialized [unbound-name]
ERROR pandas/core/_numba/kernels/sum_.py:136:21-31: `prev_value` is uninitialized [unbound-name]
ERROR pandas/core/_numba/kernels/sum_.py:142:16-42: `num_consecutive_same_value` may be uninitialized [unbound-name]
ERROR pandas/core/_numba/kernels/sum_.py:143:26-36: `prev_value` may be uninitialized [unbound-name]
ERROR pandas/core/_numba/kernels/var_.py:144:21-47: `num_consecutive_same_value` is uninitialized [unbound-name]
ERROR pandas/core/_numba/kernels/var_.py:145:21-31: `prev_value` is uninitialized [unbound-name]
ERROR pandas/core/_numba/kernels/var_.py:149:29-55: `num_consecutive_same_value` may be uninitialized [unbound-name]
ERROR pandas/core/algorithms.py:253:12-18: Returned type `ExtensionArray | Index | NumpyExtensionArray | Series | ndarray | ndarray[tuple[Any, ...], dtype[Unknown]] | ndarray[Unknown, Unknown]` is not assignable to declared return type `ExtensionArray | ndarray` [bad-return]
ERROR pandas/core/algorithms.py:478:16-29: Object of class `ndarray` has no attribute `unique` [missing-attribute]
ERROR pandas/core/algorithms.py:485:45-51: Argument `ExtensionArray | ndarray` is not assignable to parameter `values` with type `ndarray` in function `_get_hashtable_algo` [bad-argument-type]
ERROR pandas/core/algorithms.py:555:33-39: Argument `ExtensionArray | Index | Series | ndarray` is not assignable to parameter `values` with type `ExtensionArray | ndarray` in function `pandas.core.arrays.base.ExtensionArray.isin` [bad-argument-type]
ERROR pandas/core/algorithms.py:559:43-49: Argument `ExtensionArray | Index | Series | ndarray` is not assignable to parameter `values` with type `ExtensionArray | ndarray` in function `pandas.core.arrays.base.ExtensionArray.isin` [bad-argument-type]
ERROR pandas/core/algorithms.py:600:27-33: Argument `ExtensionArray | Index | Series | ndarray` is not assignable to parameter `values` with type `ndarray` in function `pandas._libs.hashtable.ismember` [bad-argument-type]
ERROR pandas/core/algorithms.py:851:32-67: `ExtensionArray | Index | Series | ndarray | Unknown` is not assignable to any of constraints `ExtensionArray`, `ndarray` of type variable `ArrayLikeT` [bad-specialization]
ERROR pandas/core/algorithms.py:853:12-26: Returned type `tuple[ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]] | ndarray | Unknown, ExtensionArray | Index | Series | ndarray | Unknown]` is not assignable to declared return type `tuple[ndarray, Index | ndarray]` [bad-return]
ERROR pandas/core/algorithms.py:919:54-60: Argument `ExtensionArray | ndarray` is not assignable to parameter `values` with type `ndarray` in function `value_counts_arraylike` [bad-argument-type]
ERROR pandas/core/algorithms.py:939:36-72: No matching overload found for function `pandas.core.frame.DataFrame.sort_values` called with arguments: (ascending=bool, kind=Literal['stable']) [no-matching-overload]
ERROR pandas/core/algorithms.py:947:12-18: Returned type `DataFrame | Series | Unknown` is not assignable to declared return type `Series` [bad-return]
ERROR pandas/core/algorithms.py:1225:25-1231:10: No matching overload found for function `pandas.core.array_algos.take.take_nd` called with arguments: (ExtensionArray | Index | NumpyExtensionArray | Series | ndarray[Unknown, Unknown], ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]], axis=int, allow_fill=Literal[True], fill_value=Unknown | None) [no-matching-overload]
ERROR pandas/core/apply.py:210:52-58: Expected argument after ** to be a mapping, got: Unknown | None in function `reconstruct_func` [bad-unpacking]
ERROR pandas/core/apply.py:223:12-17: `klass` may be uninitialized [unbound-name]
ERROR pandas/core/apply.py:827:5-8: Class member `NDFrameApply.obj` overrides parent class `Apply` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/apply.py:888:5-8: Class member `FrameApply.obj` overrides parent class `NDFrameApply` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/apply.py:1618:5-8: Class member `SeriesApply.obj` overrides parent class `NDFrameApply` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/apply.py:1620:5-11: Class member `SeriesApply.by_row` overrides parent class `NDFrameApply` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/apply.py:1730:5-8: Class member `GroupByApply.obj` overrides parent class `Apply` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/apply.py:1825:5-8: Class member `ResamplerWindowApply.obj` overrides parent class `GroupByApply` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/apply.py:2157:49-53: Argument `((...) -> Unknown) | MutableMapping[Hashable, ((...) -> Unknown) | list[((...) -> Unknown) | str] | str] | list[((...) -> Unknown) | str] | str` is not assignable to parameter `func` with type `dict[str, list[((...) -> Unknown) | str]]` in function `relabel_result` [bad-argument-type]
ERROR pandas/core/array_algos/quantile.py:151:23-158:6: No matching overload found for function `numpy.lib._function_base_impl.quantile` called with arguments: (ndarray, ndarray[tuple[Any, ...], dtype[float64]], method=str) [no-matching-overload]
ERROR pandas/core/array_algos/quantile.py:224:27-232:10: No matching overload found for function `numpy.lib._function_base_impl.quantile` called with arguments: (ndarray, ndarray[tuple[Any, ...], dtype[float64]], axis=Literal[1], method=str) [no-matching-overload]
ERROR pandas/core/array_algos/take.py:290:8-12: `func` may be uninitialized [unbound-name]
ERROR pandas/core/array_algos/take.py:363:26-41: Object of class `float` has no attribute `view` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:85:36-54: No attribute `SUBPATTERN` in module `re._parser` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:89:36-50: No attribute `BRANCH` in module `re._parser` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:94:29-47: No attribute `ASSERT_NOT` in module `re._parser` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:94:49-63: No attribute `ASSERT` in module `re._parser` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:94:65-81: No attribute `GROUPREF` in module `re._parser` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:110:18-32: No attribute `utf8_length` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:114:41-54: No attribute `utf8_lower` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:117:41-54: No attribute `utf8_upper` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:121:22-45: No attribute `utf8_trim_whitespace` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:123:22-34: No attribute `utf8_trim` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:128:22-46: No attribute `utf8_ltrim_whitespace` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:130:22-35: No attribute `utf8_ltrim` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:135:22-46: No attribute `utf8_rtrim_whitespace` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:137:22-35: No attribute `utf8_rtrim` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:147:22-34: No attribute `utf8_lpad` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:149:22-34: No attribute `utf8_rpad` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:163:34-48: No attribute `utf8_center` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:173:19-33: No attribute `utf8_length` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:175:29-45: No attribute `greater_equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:180:29-39: No attribute `greater` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:184:29-38: No attribute `invert` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:185:20-43: No attribute `utf8_slice_codeunits` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:189:18-28: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:204:13-36: No attribute `utf8_slice_codeunits` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:223:13-34: No attribute `utf8_replace_slice` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:263:16-42: No attribute `replace_substring_regex` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:263:57-77: No attribute `replace_substring` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:276:41-59: No attribute `utf8_capitalize` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:279:41-54: No attribute `utf8_title` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:282:41-57: No attribute `utf8_swapcase` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:287:23-37: No attribute `starts_with` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:288:19-42: No attribute `utf8_slice_codeunits` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:289:18-28: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:295:21-33: No attribute `ends_with` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:296:19-42: No attribute `utf8_slice_codeunits` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:297:18-28: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:304:22-36: No attribute `starts_with` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:308:22-32: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:308:33-43: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:310:22-36: No attribute `starts_with` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:313:26-32: No attribute `or_` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:313:41-55: No attribute `starts_with` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:320:22-34: No attribute `ends_with` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:324:22-32: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:324:33-43: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:326:22-34: No attribute `ends_with` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:329:26-32: No attribute `or_` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:329:41-53: No attribute `ends_with` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:333:18-34: No attribute `utf8_is_alnum` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:337:18-34: No attribute `utf8_is_alpha` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:341:18-36: No attribute `string_is_ascii` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:345:18-36: No attribute `utf8_is_decimal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:355:18-34: No attribute `utf8_is_digit` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:359:18-34: No attribute `utf8_is_lower` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:363:18-36: No attribute `utf8_is_numeric` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:367:18-34: No attribute `utf8_is_space` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:371:18-34: No attribute `utf8_is_title` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:375:18-34: No attribute `utf8_is_upper` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:390:27-51: No attribute `match_substring_regex` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:392:27-45: No attribute `match_substring` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:425:16-22: No attribute `all` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:425:23-41: No attribute `string_is_ascii` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:433:22-39: No attribute `find_substring` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:445:32-38: No attribute `add` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:445:46-60: No attribute `utf8_length` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:446:32-42: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:446:43-50: No attribute `less` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:449:22-45: No attribute `utf8_slice_codeunits` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:450:22-39: No attribute `find_substring` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:451:21-33: No attribute `not_equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:452:29-35: No attribute `add` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_arrow_string_mixins.py:453:22-32: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/_mixins.py:362:9-20: Class member `NDArrayBackedExtensionArray.__getitem__` overrides parent class `ExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/_ranges.py:147:21-70: `NaTType | Timestamp` is not assignable to variable `start` with type `Timestamp | None` [bad-assignment]
ERROR pandas/core/arrays/arrow/accessors.py:118:25-45: No attribute `list_value_length` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/accessors.py:169:23-38: No attribute `list_element` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/accessors.py:187:22-35: No attribute `list_slice` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/accessors.py:236:18-46: No attribute `list_value_length` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/accessors.py:237:21-44: No attribute `list_flatten` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/accessors.py:467:20-24: `name` may be uninitialized [unbound-name]
ERROR pandas/core/arrays/arrow/accessors.py:471:21-36: No attribute `struct_field` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:107:15-23: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:108:15-27: No attribute `not_equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:109:15-22: No attribute `less` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:110:15-25: No attribute `greater` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:111:15-28: No attribute `less_equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:112:15-31: No attribute `greater_equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:116:17-30: No attribute `and_kleene` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:117:31-44: No attribute `and_kleene` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:118:16-28: No attribute `or_kleene` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:119:30-42: No attribute `or_kleene` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:120:16-22: No attribute `xor` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:121:30-36: No attribute `xor` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:125:17-32: No attribute `bit_wise_and` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:126:31-46: No attribute `bit_wise_and` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:127:16-30: No attribute `bit_wise_or` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:128:30-44: No attribute `bit_wise_or` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:129:16-31: No attribute `bit_wise_xor` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:130:30-45: No attribute `bit_wise_xor` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:156:23-40: No attribute `divide_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:159:33-45: No attribute `not_equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:159:46-57: No attribute `multiply` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:160:44-51: No attribute `less` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:161:21-36: No attribute `bit_wise_xor` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:164:26-36: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:165:21-28: No attribute `and_` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:170:21-32: No attribute `subtract` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:177:23-32: No attribute `divide` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:178:22-30: No attribute `floor` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:182:16-30: No attribute `add_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:183:30-44: No attribute `add_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:184:16-35: No attribute `subtract_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:185:30-49: No attribute `subtract_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:186:16-35: No attribute `multiply_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:187:30-49: No attribute `multiply_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:188:33-42: No attribute `divide` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:189:34-43: No attribute `divide` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:196:16-32: No attribute `power_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:197:30-46: No attribute `power_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:388:27-37: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:409:23-33: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:409:34-42: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:410:23-33: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:410:34-42: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:509:20-26: No attribute `lib` in module `pyarrow` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:517:20-26: No attribute `lib` in module `pyarrow` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:938:45-60: No attribute `bit_wise_not` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:945:45-54: No attribute `invert` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:949:45-62: No attribute `negate_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:959:41-55: No attribute `abs_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:983:20-26: No attribute `lib` in module `pyarrow` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1014:25-31: No attribute `lib` in module `pyarrow` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1014:58-64: No attribute `lib` in module `pyarrow` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1024:30-40: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1077:53-63: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1081:34-61: No attribute `binary_join_element_wise` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1083:34-61: No attribute `binary_join_element_wise` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1088:49-55: `result` may be uninitialized [unbound-name]
ERROR pandas/core/arrays/arrow/array.py:1094:31-41: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1094:42-49: No attribute `less` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1095:26-42: No attribute `binary_repeat` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1106:27-37: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1106:38-45: No attribute `less` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1107:22-38: No attribute `binary_repeat` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1111:17-27: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1177:20-29: No attribute `is_nan` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1178:19-39: No attribute `replace_with_mask` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1213:9-21: Class member `ArrowExtensionArray.__contains__` overrides parent class `ExtensionArrayNaResult` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/arrow/array.py:1220:24-30: No attribute `any` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1220:31-40: No attribute `is_nan` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1388:18-39: No attribute `array_sort_indices` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1455:41-53: No attribute `drop_null` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1473:25-45: No attribute `fill_null_forward` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1477:25-46: No attribute `fill_null_backward` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1579:18-26: No attribute `is_in` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1607:23-43: No attribute `dictionary_encode` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:1766:41-49: No attribute `round` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2112:21-30: No attribute `unique` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2266:23-33: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2267:16-22: No attribute `all` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2274:32-52: No attribute `fill_null_forward` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2275:32-53: No attribute `fill_null_backward` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2289:25-35: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2336:22-34: No attribute `not_equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2352:29-38: No attribute `stddev` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2353:31-46: No attribute `sqrt_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2353:47-55: No attribute `count` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2354:24-41: No attribute `divide_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2361:24-34: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2372:44-53: No attribute `invert` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2384:24-38: No attribute `binary_join` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2493:12-22: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2518:18-46: No attribute `list_value_length` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2525:25-35: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2530:43-66: No attribute `list_flatten` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2653:18-25: No attribute `rank` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2661:20-30: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2663:22-32: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2666:26-33: No attribute `rank` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2674:22-31: No attribute `divide` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2674:32-38: No attribute `add` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2680:27-33: No attribute `max` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2682:27-35: No attribute `count` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2683:22-31: No attribute `divide` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2695:20-26: No attribute `all` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2695:27-43: No attribute `greater_equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2708:20-26: No attribute `all` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2708:27-40: No attribute `less_equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2760:18-29: No attribute `quantile` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2764:26-34: No attribute `floor` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2805:15-30: No attribute `value_counts` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2807:13-21: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2807:43-49: No attribute `max` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2813:40-61: No attribute `array_sort_indices` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2852:24-45: No attribute `fill_null_backward` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2852:46-70: No attribute `pairwise_diff_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2854:23-37: No attribute `add_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2854:51-68: No attribute `divide_checked` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2855:45-56: No attribute `coalesce` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2920:24-34: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:2976:20-40: No attribute `replace_with_mask` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3134:41-65: No attribute `count_substring_regex` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3141:41-57: No attribute `binary_repeat` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3151:41-55: No attribute `binary_join` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3179:18-34: No attribute `extract_regex` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3182:47-62: No attribute `struct_field` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3186:31-46: No attribute `struct_field` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3197:17-33: No attribute `split_pattern` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3198:28-43: No attribute `list_flatten` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3200:39-68: No attribute `array_sort_indices` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3201:19-39: No attribute `list_value_length` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3204:19-30: No attribute `index_in` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3229:41-58: No attribute `utf8_normalize` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3246:26-50: No attribute `utf8_split_whitespace` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3248:44-66: No attribute `split_pattern_regex` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3250:44-60: No attribute `split_pattern` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3258:17-41: No attribute `utf8_split_whitespace` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3261:13-29: No attribute `split_pattern` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3362:18-27: No attribute `divide` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3379:18-25: No attribute `year` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3384:18-24: No attribute `day` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3389:18-32: No attribute `day_of_week` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3415:18-32: No attribute `day_of_year` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3430:18-25: No attribute `hour` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3434:18-33: No attribute `iso_calendar` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3439:18-33: No attribute `is_leap_year` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3444:18-26: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3444:27-33: No attribute `day` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3449:18-26: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3450:13-28: No attribute `days_between` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3451:17-34: No attribute `floor_temporal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3452:17-33: No attribute `ceil_temporal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3460:18-25: No attribute `and_` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3461:13-21: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3461:22-30: No attribute `month` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3462:13-21: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3462:22-28: No attribute `day` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3468:18-25: No attribute `and_` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3469:13-21: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3469:22-30: No attribute `month` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3470:13-21: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3470:22-28: No attribute `day` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3476:18-26: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3477:13-30: No attribute `floor_temporal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3478:13-30: No attribute `floor_temporal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3484:18-26: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3485:13-28: No attribute `days_between` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3486:17-34: No attribute `floor_temporal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3487:17-33: No attribute `ceil_temporal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3495:18-33: No attribute `days_between` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3496:13-30: No attribute `floor_temporal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3497:13-29: No attribute `ceil_temporal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3514:14-28: No attribute `microsecond` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3515:20-31: No attribute `multiply` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3515:32-46: No attribute `millisecond` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3516:18-24: No attribute `add` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3521:18-27: No attribute `minute` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3526:18-26: No attribute `month` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3531:18-31: No attribute `nanosecond` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3536:18-28: No attribute `quarter` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3541:18-27: No attribute `second` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3568:18-35: No attribute `floor_temporal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3572:18-29: No attribute `strftime` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3640:18-29: No attribute `strftime` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3646:18-29: No attribute `strftime` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3674:14-3677:10: No matching overload found for function `dict.get` called with arguments: (Literal['NaT', 'raise', 'shift_backward', 'shift_forward'] | timedelta, None) [no-matching-overload]
ERROR pandas/core/arrays/arrow/array.py:3681:22-40: No attribute `local_timestamp` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/array.py:3683:22-40: No attribute `assume_timezone` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/arrow/extension_types.py:171:5-30: No attribute `_hotfix_installed` in module `pyarrow` [missing-attribute]
ERROR pandas/core/arrays/base.py:1682:26-37: Object of class `object` has no attribute `dtype` [missing-attribute]
ERROR pandas/core/arrays/base.py:1684:31-36: Argument `object` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/core/arrays/boolean.py:92:5-9: Class member `BooleanDtype.name` overrides parent class `BaseMaskedDtype` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/boolean.py:261:24-34: Object of class `NoneType` has no attribute `shape`
Object of class `bool` has no attribute `shape` [missing-attribute]
ERROR pandas/core/arrays/boolean.py:264:12-24: Returned type `tuple[ndarray[tuple[int]] | ndarray[Unknown, Unknown], NDFrame | builtins.bool | ndarray[tuple[Any, ...], dtype[numpy.bool]] | ndarray | ndarray[Unknown, Unknown] | None]` is not assignable to declared return type `tuple[ndarray, ndarray]` [bad-return]
ERROR pandas/core/arrays/boolean.py:386:9-25: Class member `BooleanArray._coerce_to_array` overrides parent class `BaseMaskedArray` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/boolean.py:426:53-58: Argument `NAType | builtins.bool | numpy.bool | Unknown` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/core/arrays/boolean.py:430:54-59: Argument `NAType | builtins.bool | numpy.bool | Unknown` is not assignable to parameter `right` with type `NAType | builtins.bool | ndarray` in function `pandas.core.ops.mask_ops.kleene_or` [bad-argument-type]
ERROR pandas/core/arrays/boolean.py:432:55-60: Argument `NAType | builtins.bool | numpy.bool | Unknown` is not assignable to parameter `right` with type `NAType | builtins.bool | ndarray` in function `pandas.core.ops.mask_ops.kleene_and` [bad-argument-type]
ERROR pandas/core/arrays/boolean.py:435:55-60: Argument `NAType | builtins.bool | numpy.bool | Unknown` is not assignable to parameter `right` with type `NAType | builtins.bool | ndarray` in function `pandas.core.ops.mask_ops.kleene_xor` [bad-argument-type]
ERROR pandas/core/arrays/categorical.py:178:53-58: Argument `Hashable | Unknown` is not assignable to parameter `right` with type `ExtensionArray | Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | list[Unknown] | ndarray | range | str | timedelta | timedelta64` in function `pandas.core.ops.invalid.invalid_comparison` [bad-argument-type]
ERROR pandas/core/arrays/categorical.py:375:5-11: Class member `Categorical._dtype` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/arrays/categorical.py:459:27-49: Object of class `ExtensionArray` has no attribute `_pa_array`
Object of class `ndarray` has no attribute `_pa_array` [missing-attribute]
ERROR pandas/core/arrays/categorical.py:461:27-58: Object of class `ExtensionArray` has no attribute `_pa_array`
Object of class `ndarray` has no attribute `_pa_array` [missing-attribute]
ERROR pandas/core/arrays/categorical.py:497:25-53: Object of class `ExtensionArray` has no attribute `_codes`
Object of class `ndarray` has no attribute `_codes` [missing-attribute]
ERROR pandas/core/arrays/categorical.py:545:9-29: Class member `Categorical._internal_fill_value` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/categorical.py:710:18-46: Object of class `ndarray` has no attribute `is_monotonic_increasing` [missing-attribute]
ERROR pandas/core/arrays/categorical.py:713:26-42: Object of class `ndarray` has no attribute `sort_values` [missing-attribute]
ERROR pandas/core/arrays/categorical.py:1680:9-25: Class member `Categorical._validate_scalar` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/categorical.py:2256:9-18: Class member `Categorical._box_func` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/categorical.py:2279:9-21: Class member `Categorical.__contains__` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/categorical.py:2695:16-22: Returned type `Categorical` is not assignable to declared return type `Self@Categorical` [bad-return]
ERROR pandas/core/arrays/categorical.py:3207:35-52: Object of class `ExtensionArray` has no attribute `categories`
Object of class `ndarray` has no attribute `categories` [missing-attribute]
ERROR pandas/core/arrays/categorical.py:3207:61-73: Object of class `ExtensionArray` has no attribute `codes`
Object of class `ndarray` has no attribute `codes` [missing-attribute]
ERROR pandas/core/arrays/categorical.py:3211:17-29: Object of class `ExtensionArray` has no attribute `codes`
Object of class `ndarray` has no attribute `codes` [missing-attribute]
ERROR pandas/core/arrays/datetimelike.py:471:9-13: Class member `DatetimeLikeArrayMixin.view` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/datetimelike.py:691:16-32: Object of class `DatetimeLikeArrayMixin` has no attribute `categories`
Object of class `ExtensionArray` has no attribute `categories`
Object of class `ndarray` has no attribute `categories` [missing-attribute]
ERROR pandas/core/arrays/datetimelike.py:693:25-51: Object of class `DatetimeLikeArrayMixin` has no attribute `_internal_get_values`
Object of class `ExtensionArray` has no attribute `_internal_get_values`
Object of class `ndarray` has no attribute `_internal_get_values` [missing-attribute]
ERROR pandas/core/arrays/datetimelike.py:1735:22-30: Argument `ndarray[tuple[Any, ...], dtype[numpy.bool]] | Any` is not assignable to parameter `mask` with type `ndarray[tuple[Any, ...], dtype[unsignedinteger[_8Bit]]]` in function `pandas._libs.groupby.group_quantile` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:223:9-29: Class member `DatetimeArray._internal_fill_value` overrides parent class `TimelikeOps` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/datetimes.py:223:9-29: Class member `DatetimeArray._internal_fill_value` overrides parent class `DatelikeOps` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/datetimes.py:284:5-11: Class member `DatetimeArray._dtype` overrides parent class `TimelikeOps` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/arrays/datetimes.py:284:5-11: Class member `DatetimeArray._dtype` overrides parent class `DatelikeOps` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/arrays/datetimes.py:436:48-71: `NaTType | Timestamp | None` is not assignable to any of constraints `Timestamp`, `None` of type variable `_TimestampNoneT1` [bad-specialization]
ERROR pandas/core/arrays/datetimes.py:436:48-71: `NaTType | Timestamp | None` is not assignable to any of constraints `Timestamp`, `None` of type variable `_TimestampNoneT2` [bad-specialization]
ERROR pandas/core/arrays/datetimes.py:437:39-44: Argument `NaTType | Timestamp | None` is not assignable to parameter `start` with type `Timestamp` in function `_infer_tz_from_endpoints` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:437:46-49: Argument `NaTType | Timestamp | None` is not assignable to parameter `end` with type `Timestamp` in function `_infer_tz_from_endpoints` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:441:43-48: Argument `NaTType | Timestamp | None` is not assignable to parameter `ts` with type `Timestamp | None` in function `_maybe_localize_point` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:442:41-44: Argument `NaTType | Timestamp | None` is not assignable to parameter `ts` with type `Timestamp | None` in function `_maybe_localize_point` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:456:51-56: Argument `NaTType | Timestamp | None` is not assignable to parameter `start` with type `Timedelta | Timestamp | None` in function `pandas.core.arrays._ranges.generate_regular_range` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:456:58-61: Argument `NaTType | Timestamp | None` is not assignable to parameter `end` with type `Timedelta | Timestamp | None` in function `pandas.core.arrays._ranges.generate_regular_range` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:462:25-30: Argument `NaTType | Timestamp | None` is not assignable to parameter `start` with type `Timestamp | None` in function `pandas.core.arrays._ranges.generate_daily_offset_range` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:462:32-35: Argument `NaTType | Timestamp | None` is not assignable to parameter `end` with type `Timestamp | None` in function `pandas.core.arrays._ranges.generate_daily_offset_range` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:468:31-36: Argument `NaTType | Timestamp | None` is not assignable to parameter `start` with type `Timestamp | None` in function `_generate_range` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:469:29-32: Argument `NaTType | Timestamp | None` is not assignable to parameter `end` with type `Timestamp | None` in function `_generate_range` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:477:27-32: Argument `NaTType | Timestamp | None` is not assignable to parameter `start` with type `Timestamp | None` in function `_generate_range` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:478:25-28: Argument `NaTType | Timestamp | None` is not assignable to parameter `end` with type `Timestamp | None` in function `_generate_range` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:485:62-68: Object of class `NoneType` has no attribute `tz` [missing-attribute]
ERROR pandas/core/arrays/datetimes.py:503:51-60: Argument `Literal['NaT', 'infer', 'raise'] | builtins.bool | ndarray[tuple[Any, ...], dtype[numpy.bool]]` is not assignable to parameter `ambiguous` with type `Literal['NaT', 'raise'] | builtins.bool` in function `pandas._libs.tslibs.nattype.NaTType.tz_localize` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:503:51-60: Argument `Literal['NaT', 'infer', 'raise'] | builtins.bool | ndarray[tuple[Any, ...], dtype[numpy.bool]]` is not assignable to parameter `ambiguous` with type `Literal['NaT', 'raise'] | builtins.bool` in function `pandas._libs.tslibs.timestamps.Timestamp.tz_localize` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:505:47-56: Argument `Literal['NaT', 'infer', 'raise'] | builtins.bool | ndarray[tuple[Any, ...], dtype[numpy.bool]]` is not assignable to parameter `ambiguous` with type `Literal['NaT', 'raise'] | builtins.bool` in function `pandas._libs.tslibs.nattype.NaTType.tz_localize` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:505:47-56: Argument `Literal['NaT', 'infer', 'raise'] | builtins.bool | ndarray[tuple[Any, ...], dtype[numpy.bool]]` is not assignable to parameter `ambiguous` with type `Literal['NaT', 'raise'] | builtins.bool` in function `pandas._libs.tslibs.timestamps.Timestamp.tz_localize` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:513:32-42: Object of class `NoneType` has no attribute `_value` [missing-attribute]
ERROR pandas/core/arrays/datetimes.py:513:45-57: Object of class `NoneType` has no attribute `_value` [missing-attribute]
ERROR pandas/core/arrays/datetimes.py:514:19-31: Object of class `NoneType` has no attribute `_value` [missing-attribute]
ERROR pandas/core/arrays/datetimes.py:526:27-32: Argument `NaTType | Timestamp` is not assignable to parameter `ts_input` with type `date | datetime | datetime64 | float | integer | str` in function `pandas._libs.tslibs.timestamps.Timestamp.__new__` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:533:27-30: Argument `NaTType | Timestamp` is not assignable to parameter `ts_input` with type `date | datetime | datetime64 | float | integer | str` in function `pandas._libs.tslibs.timestamps.Timestamp.__new__` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:818:45-59: No matching overload found for function `numpy.ndarray.view` called with arguments: (DatetimeTZDtype | dtype[datetime64]) [no-matching-overload]
ERROR pandas/core/arrays/datetimes.py:832:31-60: Object of class `NaTType` has no attribute `unit` [missing-attribute]
ERROR pandas/core/arrays/datetimes.py:1367:37-45: No attribute `month` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/datetimes.py:1451:35-49: No attribute `day_of_week` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/datetimes.py:2147:39-47: Argument `Literal[12] | Unknown | None` is not assignable to parameter `month_kw` with type `int` in function `pandas._libs.tslibs.fields.get_start_end_field` [bad-argument-type]
ERROR pandas/core/arrays/datetimes.py:3103:21-36: Object of class `NoneType` has no attribute `normalize` [missing-attribute]
ERROR pandas/core/arrays/datetimes.py:3106:19-32: Object of class `NoneType` has no attribute `normalize` [missing-attribute]
ERROR pandas/core/arrays/datetimes.py:3184:17-30: Object of class `NoneType` has no attribute `as_unit` [missing-attribute]
ERROR pandas/core/arrays/datetimes.py:3194:15-26: Object of class `NoneType` has no attribute `as_unit` [missing-attribute]
ERROR pandas/core/arrays/floating.py:177:5-9: Class member `Float32Dtype.name` overrides parent class `FloatingDtype` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/floating.py:185:5-9: Class member `Float64Dtype.name` overrides parent class `FloatingDtype` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/integer.py:227:5-9: Class member `Int8Dtype.name` overrides parent class `IntegerDtype` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/integer.py:235:5-9: Class member `Int16Dtype.name` overrides parent class `IntegerDtype` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/integer.py:243:5-9: Class member `Int32Dtype.name` overrides parent class `IntegerDtype` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/integer.py:251:5-9: Class member `Int64Dtype.name` overrides parent class `IntegerDtype` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/integer.py:259:5-9: Class member `UInt8Dtype.name` overrides parent class `IntegerDtype` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/integer.py:267:5-9: Class member `UInt16Dtype.name` overrides parent class `IntegerDtype` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/integer.py:275:5-9: Class member `UInt32Dtype.name` overrides parent class `IntegerDtype` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/integer.py:283:5-9: Class member `UInt64Dtype.name` overrides parent class `IntegerDtype` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/interval.py:232:17-21: Argument `ExtensionArray | ndarray` is not assignable to parameter `intervals` with type `ndarray` in function `pandas._libs.interval.intervals_to_interval_bounds` [bad-argument-type]
ERROR pandas/core/arrays/interval.py:330:71-79: Object of class `Index` has no attribute `tz` [missing-attribute]
ERROR pandas/core/arrays/interval.py:333:37-45: Object of class `Index` has no attribute `tz` [missing-attribute]
ERROR pandas/core/arrays/interval.py:336:50-59: Object of class `Index` has no attribute `unit` [missing-attribute]
ERROR pandas/core/arrays/interval.py:336:63-73: Object of class `Index` has no attribute `unit` [missing-attribute]
ERROR pandas/core/arrays/interval.py:338:35-68: Object of class `ExtensionArray` has no attribute `_ensure_matching_resos`
Object of class `ndarray` has no attribute `_ensure_matching_resos` [missing-attribute]
ERROR pandas/core/arrays/interval.py:354:21-56: Object of class `ExtensionArray` has no attribute `base` [missing-attribute]
ERROR pandas/core/arrays/interval.py:356:21-56: Object of class `ExtensionArray` has no attribute `base` [missing-attribute]
ERROR pandas/core/arrays/interval.py:375:16-34: Returned type `tuple[ArrayLike, ArrowExtensionArray | ExtensionArray | ndarray, IntervalDtype]` is not assignable to declared return type `tuple[IntervalSide, IntervalSide, IntervalDtype]` [bad-return]
ERROR pandas/core/arrays/interval.py:659:9-20: Class member `IntervalArray.__getitem__` overrides parent class `ExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/interval.py:674:20-24: Argument `ExtensionArray | ndarray[Unknown, Unknown]` is not assignable to parameter `a` with type `_Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype]] | _SupportsArray[dtype] | bytes | complex | str` in function `numpy._core.fromnumeric.ndim` [bad-argument-type]
ERROR pandas/core/arrays/interval.py:731:27-43: Object of class `ExtensionArray` has no attribute `categories` [missing-attribute]
ERROR pandas/core/arrays/interval.py:735:35-51: Object of class `ExtensionArray` has no attribute `categories` [missing-attribute]
ERROR pandas/core/arrays/interval.py:738:25-41: Object of class `ExtensionArray` has no attribute `categories` [missing-attribute]
ERROR pandas/core/arrays/interval.py:739:21-32: Object of class `ExtensionArray` has no attribute `codes` [missing-attribute]
ERROR pandas/core/arrays/interval.py:739:62-78: Object of class `ExtensionArray` has no attribute `categories` [missing-attribute]
ERROR pandas/core/arrays/interval.py:744:31-43: Object of class `ExtensionArray` has no attribute `closed` [missing-attribute]
ERROR pandas/core/arrays/interval.py:773:33-38: Argument `ExtensionArray | Interval[Unknown] | Unknown` is not assignable to parameter `iterable` with type `Iterable[Any]` in function `enumerate.__new__` [bad-argument-type]
ERROR pandas/core/arrays/interval.py:960:38-56: No matching overload found for function `pandas.core.arrays.base.ExtensionArray.astype` called with arguments: (ExtensionDtype | dtype | None, copy=bool) [no-matching-overload]
ERROR pandas/core/arrays/interval.py:1571:50-58: Argument `NaTType | Period | Timedelta | Timestamp | Any` is not assignable to parameter `right` with type `int` in function `pandas._libs.interval.Interval.__init__` [bad-argument-type]
ERROR pandas/core/arrays/interval.py:1910:16-22: Returned type `DataFrame | Unknown` is not assignable to declared return type `ExtensionArray | ndarray` [bad-return]
ERROR pandas/core/arrays/interval.py:1923:12-18: Returned type `ExtensionArray | list[Unknown] | ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]] | ndarray | ndarray[tuple[Any, ...], dtype[Unknown]] | range | tuple[Unknown, ...] | Unknown` is not assignable to declared return type `ExtensionArray | ndarray` [bad-return]
ERROR pandas/core/arrays/masked.py:170:60-65: Argument `Unknown | None` is not assignable to parameter `dtype` with type `ExtensionDtype | dtype` in function `BaseMaskedArray._coerce_to_array` [bad-argument-type]
ERROR pandas/core/arrays/masked.py:446:9-21: Class member `BaseMaskedArray.__contains__` overrides parent class `ExtensionArray` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/masked.py:1144:9-13: Class member `BaseMaskedArray.take` overrides parent class `ExtensionArray` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/masked.py:1679:52-56: Argument `numpy.bool | ndarray[tuple[Any, ...], dtype[numpy.bool]]` is not assignable to parameter `mask` with type `ndarray` in function `BaseMaskedArray._maybe_mask_result` [bad-argument-type]
ERROR pandas/core/arrays/numeric.py:289:9-25: Class member `NumericArray._coerce_to_array` overrides parent class `BaseMaskedArray` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/numpy_.py:116:5-11: Class member `NumpyExtensionArray._dtype` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/arrays/numpy_.py:336:9-25: Class member `NumpyExtensionArray._validate_scalar` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/period.py:219:5-11: Class member `PeriodArray._dtype` overrides parent class `DatelikeOps` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/arrays/period.py:368:9-22: Class member `PeriodArray._unbox_scalar` overrides parent class `DatelikeOps` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/period.py:384:16-45: Returned type `NaTType | Period` is not assignable to declared return type `Period` [bad-return]
ERROR pandas/core/arrays/period.py:386:9-31: Class member `PeriodArray._check_compatible_with` overrides parent class `DatelikeOps` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/period.py:977:20-43: Object of class `BaseOffset` has no attribute `_period_dtype_code` [missing-attribute]
ERROR pandas/core/arrays/period.py:1083:17-40: Object of class `BaseOffset` has no attribute `_period_dtype_code` [missing-attribute]
ERROR pandas/core/arrays/period.py:1199:9-20: Class member `PeriodArray._add_offset` overrides parent class `DatelikeOps` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/period.py:1231:46-48: Argument `ndarray[tuple[Any, ...], dtype[datetime64 | timedelta64]]` is not assignable to parameter `other` with type `TimedeltaArray | ndarray[tuple[Any, ...], dtype[timedelta64]]` in function `PeriodArray._add_timedelta_arraylike` [bad-argument-type]
ERROR pandas/core/arrays/period.py:1346:36-52: Argument `NaTType | Timedelta` is not assignable to parameter `delta` with type `timedelta` in function `pandas._libs.tslibs.offsets.delta_to_tick` [bad-argument-type]
ERROR pandas/core/arrays/period.py:1478:40-49: Object of class `Index` has no attribute `freq` [missing-attribute]
ERROR pandas/core/arrays/period.py:1487:12-35: Object of class `BaseOffset` has no attribute `_period_dtype_code` [missing-attribute]
ERROR pandas/core/arrays/period.py:1517:20-30: Object of class `NaTType` has no attribute `freq`
Object of class `NoneType` has no attribute `freq` [missing-attribute]
ERROR pandas/core/arrays/period.py:1519:20-28: Object of class `NaTType` has no attribute `freq`
Object of class `NoneType` has no attribute `freq` [missing-attribute]
ERROR pandas/core/arrays/period.py:1528:17-28: Object of class `NaTType` has no attribute `ordinal`
Object of class `NoneType` has no attribute `ordinal` [missing-attribute]
ERROR pandas/core/arrays/period.py:1528:47-58: Object of class `NaTType` has no attribute `ordinal`
Object of class `NoneType` has no attribute `ordinal` [missing-attribute]
ERROR pandas/core/arrays/period.py:1532:17-30: Object of class `NaTType` has no attribute `ordinal` [missing-attribute]
ERROR pandas/core/arrays/period.py:1532:32-45: Object of class `NaTType` has no attribute `ordinal` [missing-attribute]
ERROR pandas/core/arrays/period.py:1535:26-39: Object of class `NaTType` has no attribute `ordinal`
Object of class `NoneType` has no attribute `ordinal` [missing-attribute]
ERROR pandas/core/arrays/period.py:1535:41-52: Object of class `NaTType` has no attribute `ordinal`
Object of class `NoneType` has no attribute `ordinal` [missing-attribute]
ERROR pandas/core/arrays/period.py:1581:45-49: Argument `None` is not assignable to parameter `freq` with type `BaseOffset` in function `pandas._libs.tslibs.period.freq_to_dtype_code` [bad-argument-type]
ERROR pandas/core/arrays/period.py:1586:12-52: Returned type `tuple[ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]], BaseOffset | Unknown | None]` is not assignable to declared return type `tuple[ndarray, BaseOffset]` [bad-return]
ERROR pandas/core/arrays/sparse/accessor.py:81:24-42: Object of class `NoneType` has no attribute `array` [missing-attribute]
ERROR pandas/core/arrays/sparse/accessor.py:245:13-25: Argument `Unknown | None` is not assignable to parameter `ss` with type `Series` in function `pandas.core.arrays.sparse.scipy_sparse.sparse_series_to_coo` [bad-argument-type]
ERROR pandas/core/arrays/sparse/accessor.py:276:13-31: Object of class `NoneType` has no attribute `array` [missing-attribute]
ERROR pandas/core/arrays/sparse/accessor.py:277:19-37: Object of class `NoneType` has no attribute `index` [missing-attribute]
ERROR pandas/core/arrays/sparse/accessor.py:278:18-35: Object of class `NoneType` has no attribute `name` [missing-attribute]
ERROR pandas/core/arrays/sparse/accessor.py:402:51-69: Object of class `NoneType` has no attribute `items` [missing-attribute]
ERROR pandas/core/arrays/sparse/accessor.py:403:16-41: Object of class `NoneType` has no attribute `_constructor` [missing-attribute]
ERROR pandas/core/arrays/sparse/accessor.py:404:25-43: Object of class `NoneType` has no attribute `index` [missing-attribute]
ERROR pandas/core/arrays/sparse/accessor.py:404:53-73: Object of class `NoneType` has no attribute `columns` [missing-attribute]
ERROR pandas/core/arrays/sparse/accessor.py:444:34-53: Object of class `NoneType` has no attribute `dtypes` [missing-attribute]
ERROR pandas/core/arrays/sparse/accessor.py:449:40-58: Object of class `NoneType` has no attribute `items` [missing-attribute]
ERROR pandas/core/arrays/sparse/accessor.py:460:67-85: Object of class `NoneType` has no attribute `shape` [missing-attribute]
ERROR pandas/core/arrays/sparse/accessor.py:481:62-80: Object of class `NoneType` has no attribute `items` [missing-attribute]
ERROR pandas/core/arrays/sparse/array.py:469:39-472:14: No matching overload found for function `numpy._core.multiarray.asarray` called with arguments: (ndarray, dtype=ExtensionDtype | dtype[object_ | Any] | dtype | None) [no-matching-overload]
ERROR pandas/core/arrays/sparse/array.py:871:34-44: Argument `object | Unknown | None` is not assignable to parameter `*arrays_and_dtypes` with type `_Buffer | _HasDType[dtype] | _HasNumPyDType[dtype] | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype]] | _SupportsArray[dtype] | bytes | complex | dtype | list[Any] | str | _DTypeDict | tuple[Any, Any] | type[Any] | None` in function `numpy._core.multiarray.result_type` [bad-argument-type]
ERROR pandas/core/arrays/sparse/array.py:1025:9-20: Class member `SparseArray.__getitem__` overrides parent class `ExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/sparse/array.py:1244:9-21: Class member `SparseArray.searchsorted` overrides parent class `ExtensionArray` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/sparse/array.py:2059:19-32: Object of class `ndarray` has no attribute `sp_index` [missing-attribute]
ERROR pandas/core/arrays/string_.py:707:26-32: Argument `ExtensionArray | ndarray` is not assignable to parameter `values` with type `NumpyExtensionArray | ndarray` in function `pandas.core.arrays.numpy_.NumpyExtensionArray.__init__` [bad-argument-type]
ERROR pandas/core/arrays/string_.py:750:9-25: Class member `StringArray._validate_scalar` overrides parent class `NumpyExtensionArray` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/string_.py:811:35-47: No matching overload found for function `numpy.ndarray.astype` called with arguments: (StringDtype) [no-matching-overload]
ERROR pandas/core/arrays/string_.py:903:16-56: Returned type `ExtensionArray` is not assignable to declared return type `Self@StringArray` [bad-return]
ERROR pandas/core/arrays/string_arrow.py:247:30-48: No attribute `utf8_capitalize` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/string_arrow.py:267:30-48: No attribute `utf8_capitalize` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/string_arrow.py:281:26-44: No attribute `utf8_capitalize` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/string_arrow.py:312:9-29: Class member `ArrowStringArray._convert_bool_result` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/string_arrow.py:362:18-26: No attribute `is_in` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/string_arrow.py:400:5-13: Class member `ArrowStringArray._str_pad` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/string_arrow.py:401:5-15: Class member `ArrowStringArray._str_lower` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/string_arrow.py:402:5-15: Class member `ArrowStringArray._str_upper` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/string_arrow.py:403:5-15: Class member `ArrowStringArray._str_strip` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/string_arrow.py:404:5-16: Class member `ArrowStringArray._str_lstrip` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/string_arrow.py:405:5-16: Class member `ArrowStringArray._str_rstrip` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/string_arrow.py:409:5-13: Class member `ArrowStringArray._str_get` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/string_arrow.py:410:5-17: Class member `ArrowStringArray._str_getitem` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/string_arrow.py:411:5-20: Class member `ArrowStringArray._str_capitalize` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/string_arrow.py:412:5-15: Class member `ArrowStringArray._str_title` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/string_arrow.py:413:5-18: Class member `ArrowStringArray._str_swapcase` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/string_arrow.py:414:5-23: Class member `ArrowStringArray._str_slice_replace` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/string_arrow.py:416:5-15: Class member `ArrowStringArray._str_slice` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/string_arrow.py:547:18-42: No attribute `count_substring_regex` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/string_arrow.py:593:23-33: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/string_arrow.py:594:23-35: No attribute `or_kleene` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/string_arrow.py:594:41-53: No attribute `not_equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/string_arrow.py:596:23-35: No attribute `not_equal` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/arrays/timedeltas.py:167:9-29: Class member `TimedeltaArray._internal_fill_value` overrides parent class `TimelikeOps` in an inconsistent manner [bad-override]
ERROR pandas/core/arrays/timedeltas.py:249:9-23: Class member `TimedeltaArray._from_sequence` overrides parent class `TimelikeOps` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/timedeltas.py:254:41-46: Argument `ExtensionDtype | dtype` is not assignable to parameter `dtype` with type `_HasDType[dtype[datetime64 | timedelta64]] | _HasNumPyDType[dtype[datetime64 | timedelta64]] | dtype[datetime64 | timedelta64] | str | type[datetime64 | timedelta64]` in function `numpy._core.multiarray.datetime_data` [bad-argument-type]
ERROR pandas/core/arrays/timedeltas.py:259:52-57: Argument `ExtensionDtype | dtype | Unknown` is not assignable to parameter `dtype` with type `dtype` in function `pandas._libs.tslibs.np_datetime.astype_overflowsafe` [bad-argument-type]
ERROR pandas/core/arrays/timedeltas.py:294:44-49: Argument `NaTType | Timedelta | None` is not assignable to parameter `start` with type `Timedelta | Timestamp | None` in function `pandas.core.arrays._ranges.generate_regular_range` [bad-argument-type]
ERROR pandas/core/arrays/timedeltas.py:294:51-54: Argument `NaTType | Timedelta | None` is not assignable to parameter `end` with type `Timedelta | Timestamp | None` in function `pandas.core.arrays._ranges.generate_regular_range` [bad-argument-type]
ERROR pandas/core/arrays/timedeltas.py:296:33-45: Object of class `NoneType` has no attribute `_value` [missing-attribute]
ERROR pandas/core/arrays/timedeltas.py:296:47-57: Object of class `NoneType` has no attribute `_value` [missing-attribute]
ERROR pandas/core/arrays/timedeltas.py:438:9-20: Class member `TimedeltaArray._add_offset` overrides parent class `TimelikeOps` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/arrays/timedeltas.py:1092:58-62: Argument `Literal['D', 'M', 'W', 'Y', 'd', 'day', 'days', 'h', 'hour', 'hours', 'hr', 'm', 'micro', 'micros', 'microsecond', 'microseconds', 'milli', 'millis', 'millisecond', 'milliseconds', 'min', 'minute', 'minutes', 'ms', 'nano', 'nanos', 'nanosecond', 'nanoseconds', 'ns', 's', 'sec', 'second', 'seconds', 'us', 'w', 'y', 'µs'] | None` is not assignable to parameter `unit` with type `str` in function `_ints_to_td64ns` [bad-argument-type]
ERROR pandas/core/arrays/timedeltas.py:1104:20-30: Object of class `ExtensionArray` has no attribute `_mask`
Object of class `ndarray` has no attribute `_mask` [missing-attribute]
ERROR pandas/core/arrays/timedeltas.py:1105:20-30: Object of class `ExtensionArray` has no attribute `_data`
Object of class `ndarray` has no attribute `_data` [missing-attribute]
ERROR pandas/core/arrays/timedeltas.py:1119:31-58: `>=` is not supported between `ExtensionArray` and `float64` [unsupported-operation]
ERROR pandas/core/arrays/timedeltas.py:1120:17-43: `<` is not supported between `ExtensionArray` and `float64` [unsupported-operation]
ERROR pandas/core/arrays/timedeltas.py:1122:34-69: `&` is not supported between `bool` and `ExtensionArray` [unsupported-operation]
ERROR pandas/core/arrays/timedeltas.py:1122:34-69: `&` is not supported between `ndarray[tuple[Any, ...], dtype[numpy.bool]]` and `ExtensionArray` [unsupported-operation]
ERROR pandas/core/arrays/timedeltas.py:1143:40-44: Argument `ExtensionArray | ndarray` is not assignable to parameter `values` with type `ndarray` in function `pandas._libs.tslibs.np_datetime.astype_overflowsafe` [bad-argument-type]
ERROR pandas/core/common.py:603:32-41: `old_value` may be uninitialized [unbound-name]
ERROR pandas/core/computation/align.py:176:28-35: `list[Any]` is not assignable to upper bound `(...) -> Any` of type variable `F` [bad-specialization]
ERROR pandas/core/computation/align.py:209:24-27: Expected 0 positional arguments, got 1 in function `object.__init__` [bad-argument-count]
ERROR pandas/core/computation/align.py:209:29-34: Unexpected keyword argument `dtype` in function `object.__init__` [unexpected-keyword]
ERROR pandas/core/computation/align.py:210:20-23: Expected 0 positional arguments, got 1 in function `object.__init__` [bad-argument-count]
ERROR pandas/core/computation/align.py:210:25-30: Unexpected keyword argument `dtype` in function `object.__init__` [unexpected-keyword]
ERROR pandas/core/computation/align.py:210:38-42: Unexpected keyword argument `name` in function `object.__init__` [unexpected-keyword]
ERROR pandas/core/computation/eval.py:175:35-38: `msg` may be uninitialized [unbound-name]
ERROR pandas/core/computation/expr.py:172:9-173:41: Argument `Generator[object]` is not assignable to parameter `iterable` with type `Iterable[_Token]` in function `tokenize.untokenize` [bad-argument-type]
ERROR pandas/core/computation/ops.py:83:20-38: Expected second argument to `super` to be a class object or instance, got `type[Constant] | type[Self@Term]` [invalid-argument]
ERROR pandas/core/computation/ops.py:331:28-31: No matching overload found for function `typing.MutableMapping.update` called with arguments: (dict[str, ((a: _SupportsComparison, b: _SupportsComparison, /) -> Any) | ((a: object, b: object, /) -> Any) | ((x: Unknown, y: Unknown) -> Unknown)] | dict[str, ((a: Unknown, b: Unknown, /) -> Unknown)] | dict[str, ((a: Unknown, b: Unknown, /) -> Unknown) | Overload[[_T_contra, _T_co](a: SupportsAdd[_T_contra, _T_co], b: _T_contra, /) -> _T_co, [_T_contra, _T_co](a: _T_contra, b: SupportsRAdd[_T_contra, _T_co], /) -> _T_co] | Overload[[_T_contra, _T_co](a: SupportsMod[_T_contra, _T_co], b: _T_contra, /) -> _T_co, [_T_contra, _T_co](a: _T_contra, b: SupportsRMod[_T_contra, _T_co], /) -> _T_co] | Overload[[_T_contra, _T_co](a: SupportsMul[_T_contra, _T_co], b: _T_contra, /) -> _T_co, [_T_contra, _T_co](a: _T_contra, b: SupportsRMul[_T_contra, _T_co], /) -> _T_co] | Overload[[_T_contra, _T_co](a: SupportsSub[_T_contra, _T_co], b: _T_contra, /) -> _T_co, [_T_contra, _T_co](a: _T_contra, b: SupportsRSub[_T_contra, _T_co], /) -> _T_co]]) [no-matching-overload]
ERROR pandas/core/computation/ops.py:482:32-38: Argument `Any | None` is not assignable to parameter `cls` with type `type` in function `issubclass` [bad-argument-type]
ERROR pandas/core/computation/ops.py:483:36-42: Argument `Any | None` is not assignable to parameter `cls` with type `type` in function `issubclass` [bad-argument-type]
ERROR pandas/core/computation/pytables.py:102:9-14: Class member `Term.value` overrides parent class `Term` in an inconsistent manner [bad-override]
ERROR pandas/core/computation/pytables.py:182:16-19: `res` may be uninitialized [unbound-name]
ERROR pandas/core/computation/pytables.py:584:5-13: Class member `PyTablesExpr._visitor` overrides parent class `Expr` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/computation/pytables.py:585:5-8: Class member `PyTablesExpr.env` overrides parent class `Expr` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/construction.py:611:51-55: Argument `ExtensionArray | ndarray | object` is not assignable to parameter `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64` in function `pandas.core.dtypes.cast.construct_1d_arraylike_from_scalar` [bad-argument-type]
ERROR pandas/core/construction.py:631:25-29: Argument `ExtensionArray | ndarray | object` is not assignable to parameter `iterable` with type `Iterable[Any]` in function `list.__init__` [bad-argument-type]
ERROR pandas/core/construction.py:684:21-25: Argument `ExtensionArray | object` is not assignable to parameter `iterable` with type `Iterable[Any]` in function `list.__init__` [bad-argument-type]
ERROR pandas/core/dtypes/cast.py:159:17-33: `NaTType | Timestamp` is not assignable to variable `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64` [bad-assignment]
ERROR pandas/core/dtypes/cast.py:161:17-33: `NaTType | Timedelta` is not assignable to variable `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64` [bad-assignment]
ERROR pandas/core/dtypes/cast.py:321:26-32: Argument `ExtensionArray | ndarray` is not assignable to parameter `x` with type `ndarray` in function `trans` [bad-argument-type]
ERROR pandas/core/dtypes/cast.py:326:23-34: Object of class `ExtensionArray` has no attribute `iloc` [missing-attribute]
ERROR pandas/core/dtypes/cast.py:335:32-38: Argument `ExtensionArray | ndarray` is not assignable to parameter `x` with type `ndarray` in function `trans` [bad-argument-type]
ERROR pandas/core/dtypes/cast.py:340:42-48: Argument `ExtensionArray | ndarray` is not assignable to parameter `b` with type `_Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype]] | _SupportsArray[dtype] | bytes | complex | str` in function `numpy._core.numeric.allclose` [bad-argument-type]
ERROR pandas/core/dtypes/cast.py:361:36-42: Argument `ExtensionArray | ndarray` is not assignable to parameter `b` with type `_Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype]] | _SupportsArray[dtype] | bytes | complex | str` in function `numpy._core.numeric.allclose` [bad-argument-type]
ERROR pandas/core/dtypes/cast.py:367:39-45: Argument `ExtensionArray | ndarray` is not assignable to parameter `a2` with type `_Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype]] | _SupportsArray[dtype] | bytes | complex | str` in function `numpy._core.numeric.array_equal` [bad-argument-type]
ERROR pandas/core/dtypes/cast.py:388:16-36: Returned type `(Index & NumpyIndexT) | ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]]` is not assignable to declared return type `NumpyIndexT` [bad-return]
ERROR pandas/core/dtypes/cast.py:390:16-37: Returned type `(Index & NumpyIndexT) | ndarray[tuple[Any, ...], dtype[unsignedinteger[_64Bit]]]` is not assignable to declared return type `NumpyIndexT` [bad-return]
ERROR pandas/core/dtypes/cast.py:392:16-38: Returned type `(Index & NumpyIndexT) | ndarray[tuple[Any, ...], dtype[float64]]` is not assignable to declared return type `NumpyIndexT` [bad-return]
ERROR pandas/core/dtypes/cast.py:481:42-46: Argument `Any | None` is not assignable to parameter `dtype` with type `_HasDType[dtype[datetime64 | timedelta64]] | _HasNumPyDType[dtype[datetime64 | timedelta64]] | dtype[datetime64 | timedelta64] | str | type[datetime64 | timedelta64]` in function `numpy._core.multiarray.datetime_data` [bad-argument-type]
ERROR pandas/core/dtypes/cast.py:520:20-53: Returned type `tuple[type[object], ndarray[tuple[Any, ...], dtype[object_]]]` is not assignable to declared return type `tuple[dtype, Any]` [bad-return]
ERROR pandas/core/dtypes/cast.py:1276:5-21: Implementation signature `(types: list[DtypeObj]) -> DtypeObj` does not accept all arguments that overload signature `(types: list[dtype]) -> dtype` accepts [inconsistent-overload]
ERROR pandas/core/dtypes/cast.py:1280:5-21: Implementation signature `(types: list[DtypeObj]) -> DtypeObj` does not accept all arguments that overload signature `(types: list[ExtensionDtype]) -> DtypeObj` accepts [inconsistent-overload]
ERROR pandas/core/dtypes/common.py:1712:34-48: No matching overload found for function `numpy.dtype.__new__` called with arguments: (type[dtype[_ScalarT_co]], ((self: ExtensionDtype) -> type[Any]) | type[Any]) [no-matching-overload]
ERROR pandas/core/dtypes/dtypes.py:330:35-47: Object of class `NoneType` has no attribute `dtype` [missing-attribute]
ERROR pandas/core/dtypes/dtypes.py:344:21-33: Object of class `NoneType` has no attribute `dtype` [missing-attribute]
ERROR pandas/core/dtypes/dtypes.py:345:17-29: Object of class `NoneType` has no attribute `dtype` [missing-attribute]
ERROR pandas/core/dtypes/dtypes.py:652:16-32: Returned type `Index | None` is not assignable to declared return type `Index` [bad-return]
ERROR pandas/core/dtypes/dtypes.py:810:43-45: Argument `tzinfo | None` is not assignable to parameter `tz` with type `tzinfo` in function `pandas._libs.tslibs.timezones.tz_standardize` [bad-argument-type]
ERROR pandas/core/dtypes/dtypes.py:983:30-985:14: No matching overload found for function `numpy._core.fromnumeric.amax` called with arguments: (list[DtypeObj]) [no-matching-overload]
ERROR pandas/core/dtypes/dtypes.py:1080:26-49: Object of class `BaseOffset` has no attribute `_period_dtype_code` [missing-attribute]
ERROR pandas/core/dtypes/dtypes.py:1344:29-36: `ExtensionDtype | dtype` is not assignable to attribute `_subtype` with type `dtype | None` [bad-assignment]
ERROR pandas/core/dtypes/dtypes.py:1418:9-13: Class member `IntervalDtype.type` overrides parent class `PandasExtensionDtype` in an inconsistent manner [bad-override]
ERROR pandas/core/dtypes/inference.py:300:17-20: Argument `object` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/core/dtypes/missing.py:650:16-31: Returned type `Index | ndarray | Unknown` is not assignable to declared return type `_ArrLikeT` [bad-return]
ERROR pandas/core/dtypes/missing.py:652:16-43: Returned type `ndarray | Unknown` is not assignable to declared return type `_ArrLikeT` [bad-return]
ERROR pandas/core/frame.py:411:5-9: Class member `DataFrame._mgr` overrides parent class `NDFrame` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/frame.py:632:56-60: Argument `list[Unknown] | Unknown` is not assignable to parameter `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64` in function `pandas.core.dtypes.cast.construct_1d_arraylike_from_scalar` [bad-argument-type]
ERROR pandas/core/frame.py:638:21-25: Argument `list[Unknown] | Unknown` is not assignable to parameter `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64` in function `pandas.core.dtypes.cast.construct_2d_arraylike_from_scalar` [bad-argument-type]
ERROR pandas/core/frame.py:2201:62-2204:26: No matching overload found for function `pandas._libs.lib.maybe_convert_objects` called with arguments: (ExtensionArray | ndarray, try_float=Literal[True]) [no-matching-overload]
ERROR pandas/core/frame.py:2387:20-41: `in` is not supported between `Hashable` and `None` [not-iterable]
ERROR pandas/core/frame.py:2387:20-41: `in` is not supported between `str` and `None` [not-iterable]
ERROR pandas/core/frame.py:2388:37-2390:22: `None` is not subscriptable [unsupported-operation]
ERROR pandas/core/frame.py:2391:22-48: `in` is not supported between `int` and `None` [not-iterable]
ERROR pandas/core/frame.py:2392:37-2394:22: `None` is not subscriptable [unsupported-operation]
ERROR pandas/core/frame.py:2800:9-19: Default `Literal[_NoDefault.no_default]` from implementation is not assignable to overload parameter `engine` with type `Literal['auto', 'fastparquet', 'pyarrow']` [inconsistent-overload-default]
ERROR pandas/core/frame.py:4239:9-20: Class member `DataFrame.__getitem__` overrides parent class `NDFrame` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/frame.py:4826:36-77: No matching overload found for function `numpy.lib._shape_base_impl.tile` called with arguments: (ExtensionArray | ndarray, tuple[int, Literal[1]]) [no-matching-overload]
ERROR pandas/core/frame.py:4854:38-42: Argument `int | ndarray[tuple[Any, ...], dtype[numpy.bool]] | slice[Any, Any, Any] | Unknown` is not assignable to parameter `loc` with type `int` in function `pandas.core.internals.managers.BlockManager.column_setitem` [bad-argument-type]
ERROR pandas/core/frame.py:5401:32-39: Argument `tuple[()] | tuple[Unknown] | Unknown | None` is not assignable to parameter `iterable` with type `Iterable[Unknown]` in function `frozenset.__new__` [bad-argument-type]
ERROR pandas/core/frame.py:5401:52-59: Argument `tuple[()] | tuple[Unknown] | Unknown | None` is not assignable to parameter `iterable` with type `Iterable[Unknown]` in function `frozenset.__new__` [bad-argument-type]
ERROR pandas/core/frame.py:6050:9-13: Default `Literal[_NoDefault.no_default]` from implementation is not assignable to overload parameter `inplace` with type `Literal[False]` [inconsistent-overload-default]
ERROR pandas/core/frame.py:6279:9-15: Default `Literal[_NoDefault.no_default]` from implementation is not assignable to overload parameter `inplace` with type `Literal[False]` [inconsistent-overload-default]
ERROR pandas/core/frame.py:6709:36-42: Argument `int | integer` is not assignable to parameter `periods` with type `Sequence[int] | int` in function `pandas.core.generic.NDFrame.shift` [bad-argument-type]
ERROR pandas/core/frame.py:8090:9-20: Class member `DataFrame.sort_values` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
ERROR pandas/core/frame.py:12127:19-24: Argument `DataFrame` is not assignable to parameter `other` with type `Self@DataFrame` in function `pandas.core.generic.NDFrame.compare` [bad-argument-type]
ERROR pandas/core/frame.py:13391:37-42: Argument `list[Hashable]` is not assignable to parameter `level` with type `list[int]` in function `pandas.core.reshape.reshape.stack_v3` [bad-argument-type]
ERROR pandas/core/frame.py:13859:42-49: Argument `int | integer` is not assignable to parameter `periods` with type `Sequence[int] | int` in function `DataFrame.shift` [bad-argument-type]
ERROR pandas/core/frame.py:13863:37-44: Argument `int | integer` is not assignable to parameter `n` with type `int` in function `pandas.core.internals.managers.BaseBlockManager.diff` [bad-argument-type]
ERROR pandas/core/frame.py:14010:37-41: Argument `Unknown | None` is not assignable to parameter `func` with type `((...) -> Unknown) | MutableMapping[Hashable, ((...) -> Unknown) | list[((...) -> Unknown) | str] | str] | list[((...) -> Unknown) | str] | str` in function `pandas.core.apply.frame_apply` [bad-argument-type]
ERROR pandas/core/frame.py:14886:20-26: Returned type `DataFrame | Series` is not assignable to declared return type `DataFrame` [bad-return]
ERROR pandas/core/frame.py:15938:24-35: Object of class `ndarray` has no attribute `_reduce` [missing-attribute]
ERROR pandas/core/frame.py:16069:26-37: Object of class `NaTType` has no attribute `copy`
Object of class `float` has no attribute `copy` [missing-attribute]
ERROR pandas/core/frame.py:16071:31-47: No matching overload found for function `numpy._typing._ufunc._UFunc_Nin2_Nout1.__call__` called with arguments: (ndarray[tuple[int]] | Unknown, NaTType | float | ndarray[tuple[Any, ...], dtype[floating]] | Unknown) [no-matching-overload]
ERROR pandas/core/frame.py:16102:9-12: Class member `DataFrame.any` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
ERROR pandas/core/frame.py:16394:9-12: Class member `DataFrame.min` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
ERROR pandas/core/frame.py:16501:9-12: Class member `DataFrame.max` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
ERROR pandas/core/frame.py:16801:9-13: Class member `DataFrame.mean` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
ERROR pandas/core/frame.py:16923:9-15: Class member `DataFrame.median` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
ERROR pandas/core/frame.py:17047:9-12: Class member `DataFrame.sem` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
ERROR pandas/core/frame.py:17168:9-12: Class member `DataFrame.var` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
ERROR pandas/core/frame.py:17288:9-12: Class member `DataFrame.std` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
ERROR pandas/core/frame.py:17415:9-13: Class member `DataFrame.skew` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
ERROR pandas/core/frame.py:17535:9-13: Class member `DataFrame.kurt` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
ERROR pandas/core/frame.py:17769:16-67: Returned type `NDFrame` is not assignable to declared return type `Self@DataFrame` [bad-return]
ERROR pandas/core/frame.py:17878:16-67: Returned type `NDFrame` is not assignable to declared return type `Self@DataFrame` [bad-return]
ERROR pandas/core/frame.py:17987:16-67: Returned type `NDFrame` is not assignable to declared return type `Self@DataFrame` [bad-return]
ERROR pandas/core/frame.py:18096:16-68: Returned type `NDFrame` is not assignable to declared return type `Self@DataFrame` [bad-return]
ERROR pandas/core/frame.py:18579:35-18585:14: No matching overload found for function `DataFrame.quantile` called with arguments: (list[ExtensionArray | Index | Sequence[float] | Series | float | ndarray], axis=int, numeric_only=bool, interpolation=Literal['higher', 'linear', 'lower', 'midpoint', 'nearest'], method=Literal['single', 'table']) [no-matching-overload]
ERROR pandas/core/frame.py:18956:5-22: Class member `DataFrame._info_axis_number` overrides parent class `NDFrame` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/frame.py:18957:5-20: Class member `DataFrame._info_axis_name` overrides parent class `NDFrame` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/generic.py:1823:22-26: Type `None` is not iterable [not-iterable]
ERROR pandas/core/generic.py:1836:22-26: Type `None` is not iterable [not-iterable]
ERROR pandas/core/generic.py:1842:22-26: Type `None` is not iterable [not-iterable]
ERROR pandas/core/generic.py:3613:38-39: Argument `complex | float` is not assignable to parameter `num` with type `float` in function `pandas.io.formats.format.EngFormatter.__call__` [bad-argument-type]
ERROR pandas/core/generic.py:4309:32-41: `new_index` may be uninitialized [unbound-name]
ERROR pandas/core/generic.py:4319:28-37: `new_index` may be uninitialized [unbound-name]
ERROR pandas/core/generic.py:4688:13-25: `str` is not assignable to `Literal['columns', 'index', 'rows'] | int` [bad-assignment]
ERROR pandas/core/generic.py:4762:24-37: Object of class `ndarray` has no attribute `to_numpy` [missing-attribute]
ERROR pandas/core/generic.py:5688:33-48: Unpacked keyword argument `Index` is not assignable to parameter `axis` with type `Literal['columns', 'index', 'rows'] | int | None` in function `NDFrame.reindex` [bad-argument-type]
ERROR pandas/core/generic.py:5688:33-48: Unpacked keyword argument `Index` is not assignable to parameter `method` with type `Literal['backfill', 'bfill', 'ffill', 'nearest', 'pad'] | None` in function `NDFrame.reindex` [bad-argument-type]
ERROR pandas/core/generic.py:5688:33-48: Unpacked keyword argument `Index` is not assignable to parameter `copy` with type `_NoDefault | bool` in function `NDFrame.reindex` [bad-argument-type]
ERROR pandas/core/generic.py:5688:33-48: Unpacked keyword argument `Index` is not assignable to parameter `level` with type `Hashable | None` in function `NDFrame.reindex` [bad-argument-type]
ERROR pandas/core/generic.py:5688:33-48: Unpacked keyword argument `Index` is not assignable to parameter `fill_value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64 | None` in function `NDFrame.reindex` [bad-argument-type]
ERROR pandas/core/generic.py:5688:33-48: Unpacked keyword argument `Index` is not assignable to parameter `limit` with type `int | None` in function `NDFrame.reindex` [bad-argument-type]
ERROR pandas/core/generic.py:7799:26-42: Object of class `NoneType` has no attribute `items`
Object of class `bool` has no attribute `items` [missing-attribute]
ERROR pandas/core/generic.py:7832:75-80: Argument `builtins.bool | numpy.bool` is not assignable to parameter `regex` with type `builtins.bool` in function `NDFrame.replace` [bad-argument-type]
ERROR pandas/core/generic.py:7848:29-44: `None` is not subscriptable [unsupported-operation]
ERROR pandas/core/generic.py:7851:36-51: Object of class `NoneType` has no attribute `keys` [missing-attribute]
ERROR pandas/core/generic.py:7865:65-81: Object of class `NoneType` has no attribute `items` [missing-attribute]
ERROR pandas/core/generic.py:7875:43-53: Argument `Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/core/generic.py:7878:24-34: Argument `Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/core/generic.py:7881:42-52: Argument `Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/core/generic.py:7884:30-40: Argument `Unknown | None` is not assignable to parameter `src_list` with type `list[Any]` in function `pandas.core.internals.managers.BaseBlockManager.replace_list` [bad-argument-type]
ERROR pandas/core/generic.py:7887:27-32: Argument `builtins.bool | numpy.bool` is not assignable to parameter `regex` with type `builtins.bool` in function `pandas.core.internals.managers.BaseBlockManager.replace_list` [bad-argument-type]
ERROR pandas/core/generic.py:7913:42-47: Argument `builtins.bool | numpy.bool` is not assignable to parameter `regex` with type `builtins.bool` in function `pandas.core.array_algos.replace.should_use_regex` [bad-argument-type]
ERROR pandas/core/generic.py:9741:22-9745:10: No matching overload found for function `pandas.core.reshape.concat.concat` called with arguments: (list[Unknown | Self@NDFrame], axis=int | Unknown, keys=tuple[str | None, ...]) [no-matching-overload]
ERROR pandas/core/generic.py:9766:43-58: Argument `ndarray[tuple[Any, ...], dtype[Unknown]]` is not assignable to parameter `values` with type `Sequence[Hashable]` in function `pandas.core.indexes.base.Index._set_names` [bad-argument-type]
ERROR pandas/core/generic.py:10067:16-39: Returned type `tuple[Series | Unknown | Self@NDFrame, Series, Index | Unknown | None]` is not assignable to declared return type `tuple[Self@NDFrame, Series, Index | None]` [bad-return]
ERROR pandas/core/generic.py:10190:64-72: `res_cols` may be uninitialized [unbound-name]
ERROR pandas/core/groupby/generic.py:2507:19-23: `path` may be uninitialized [unbound-name]
ERROR pandas/core/groupby/groupby.py:1379:28-48: Returned type `object` is not assignable to declared return type `NDFrameT` [bad-return]
ERROR pandas/core/groupby/groupby.py:5243:75-81: Argument `int | integer` is not assignable to parameter `periods` with type `int` in function `pandas._libs.groupby.group_shift_indexer` [bad-argument-type]
ERROR pandas/core/groupby/groupby.py:5264:18-24: `concat` may be uninitialized [unbound-name]
ERROR pandas/core/groupby/groupby.py:5683:54-65: `weights_arr` may be uninitialized [unbound-name]
ERROR pandas/core/groupby/groupby.py:5784:16-22: Returned type `Series | NDFrameT` is not assignable to declared return type `NDFrameT` [bad-return]
ERROR pandas/core/groupby/grouper.py:275:32-35: Argument `type[TimeGrouper] | type[Self@Grouper]` is not assignable to parameter `cls` with type `type[Self@Grouper]` in function `object.__new__` [bad-argument-type]
ERROR pandas/core/groupby/grouper.py:556:31-57: Object of class `BinGrouper` has no attribute `categories`
Object of class `ExtensionArray` has no attribute `categories`
Object of class `Index` has no attribute `categories` [missing-attribute]
ERROR pandas/core/groupby/grouper.py:557:50-65: Argument `BinGrouper | ExtensionArray | Index | Series` is not assignable to parameter `c` with type `Categorical` in function `pandas.core.groupby.categorical.recode_for_groupby` [bad-argument-type]
ERROR pandas/core/groupby/grouper.py:643:26-40: Object of class `BinGrouper` has no attribute `categories`
Object of class `ExtensionArray` has no attribute `categories`
Object of class `Index` has no attribute `categories`
Object of class `ndarray` has no attribute `categories` [missing-attribute]
ERROR pandas/core/groupby/grouper.py:646:46-55: Object of class `ExtensionArray` has no attribute `codes`
Object of class `Index` has no attribute `codes`
Object of class `ndarray` has no attribute `codes` [missing-attribute]
ERROR pandas/core/groupby/grouper.py:655:27-35: Object of class `BinGrouper` has no attribute `isna`
Object of class `ndarray` has no attribute `isna` [missing-attribute]
ERROR pandas/core/groupby/grouper.py:665:59-68: Object of class `ExtensionArray` has no attribute `codes`
Object of class `Index` has no attribute `codes`
Object of class `ndarray` has no attribute `codes` [missing-attribute]
ERROR pandas/core/groupby/grouper.py:669:62-73: Object of class `BinGrouper` has no attribute `ordered`
Object of class `ExtensionArray` has no attribute `ordered`
Object of class `Index` has no attribute `ordered`
Object of class `ndarray` has no attribute `ordered` [missing-attribute]
ERROR pandas/core/groupby/grouper.py:671:21-30: Object of class `ExtensionArray` has no attribute `codes`
Object of class `Index` has no attribute `codes`
Object of class `ndarray` has no attribute `codes` [missing-attribute]
ERROR pandas/core/groupby/grouper.py:676:47-54: `na_code` may be uninitialized [unbound-name]
ERROR pandas/core/groupby/grouper.py:677:34-41: `na_mask` may be uninitialized [unbound-name]
ERROR pandas/core/groupby/grouper.py:910:28-36: Object of class `NoneType` has no attribute `name` [missing-attribute]
ERROR pandas/core/groupby/grouper.py:915:57-60: Argument `Index | Unknown | None` is not assignable to parameter `key` with type `Hashable` in function `pandas.core.generic.NDFrame._check_label_or_level_ambiguity` [bad-argument-type]
ERROR pandas/core/groupby/grouper.py:921:32-36: Argument `Index | Unknown | None` is not assignable to parameter `element` with type `Hashable` in function `set.add` [bad-argument-type]
ERROR pandas/core/groupby/grouper.py:922:42-45: Argument `Index | Unknown | None` is not assignable to parameter `key` with type `Hashable` in function `pandas.core.generic.NDFrame._is_level_reference` [bad-argument-type]
ERROR pandas/core/groupby/numba_.py:113:18-42: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/groupby/numba_.py:115:22-47: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/groupby/numba_.py:170:18-42: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/groupby/numba_.py:172:22-47: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/groupby/ops.py:221:34-50: Object of class `FunctionType` has no attribute `__signatures__` [missing-attribute]
ERROR pandas/core/groupby/ops.py:524:32-38: `counts` may be uninitialized [unbound-name]
ERROR pandas/core/groupby/ops.py:696:16-22: Returned type `dict[Hashable | float, ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]]] | dict[Hashable, ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]]] | dict[tuple[float | Unknown, ...], ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]]]` is not assignable to declared return type `dict[Hashable, ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]]]` [bad-return]
ERROR pandas/core/groupby/ops.py:719:31-40: `null_gaps` may be uninitialized [unbound-name]
ERROR pandas/core/groupby/ops.py:1118:29-41: No matching overload found for function `numpy._core.getlimits.iinfo.__init__` called with arguments: (dtype[float64] | dtype[signedinteger[_64Bit]] | dtype[unsignedinteger[_64Bit]] | dtype) [no-matching-overload]
ERROR pandas/core/indexers/utils.py:325:20-31: Object of class `Index` has no attribute `sum` [missing-attribute]
ERROR pandas/core/indexes/base.py:1303:45-55: Argument `_NoDefault | bool` is not assignable to parameter `allow_fill` with type `bool` in function `pandas.core.algorithms.take` [bad-argument-type]
ERROR pandas/core/indexes/base.py:1307:53-63: Argument `_NoDefault | bool` is not assignable to parameter `allow_fill` with type `bool` in function `pandas.core.arrays.base.ExtensionArray.take` [bad-argument-type]
ERROR pandas/core/indexes/base.py:1873:16-25: Argument `FrozenList | Hashable | Sequence[Hashable] | list[Hashable | None] | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/core/indexes/base.py:1875:75-84: Argument `FrozenList | Hashable | Sequence[Hashable] | list[Hashable | None] | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/core/indexes/base.py:1879:31-41: Type `Hashable` is not iterable [not-iterable]
ERROR pandas/core/indexes/base.py:1879:31-41: Type `None` is not iterable [not-iterable]
ERROR pandas/core/indexes/base.py:1881:16-25: Returned type `FrozenList | Hashable | Sequence[Hashable] | list[Hashable | None] | None` is not assignable to declared return type `list[Hashable]` [bad-return]
ERROR pandas/core/indexes/base.py:2108:21-28: `list[Hashable | Sequence[Hashable] | list[int]]` is not assignable to variable `level` with type `Hashable | Sequence[Hashable] | None` [bad-assignment]
ERROR pandas/core/indexes/base.py:2117:20-23: Returned type `MultiIndex | Self@Index` is not assignable to declared return type `Self@Index | None` [bad-return]
ERROR pandas/core/indexes/base.py:3312:44-49: Argument `Index` is not assignable to parameter `other` with type `Self@Index` in function `Index._outer_indexer` [bad-argument-type]
ERROR pandas/core/indexes/base.py:3469:63-68: Argument `Index` is not assignable to parameter `other` with type `Self@Index` in function `Index._inner_indexer` [bad-argument-type]
ERROR pandas/core/indexes/base.py:3964:48-58: Argument `ExtensionArray | ndarray | Unknown` is not assignable to parameter `values` with type `ndarray` in function `pandas._libs.index.ExtensionEngine.get_indexer` [bad-argument-type]
ERROR pandas/core/indexes/base.py:3964:48-58: Argument `ExtensionArray | ndarray | Unknown` is not assignable to parameter `values` with type `ndarray` in function `pandas._libs.index.IndexEngine.get_indexer` [bad-argument-type]
ERROR pandas/core/indexes/base.py:4756:12-28: Object of class `ExtensionArray` has no attribute `names`
Object of class `ndarray` has no attribute `names` [missing-attribute]
ERROR pandas/core/indexes/base.py:4757:26-46: Object of class `ExtensionArray` has no attribute `set_names`
Object of class `ndarray` has no attribute `set_names` [missing-attribute]
ERROR pandas/core/indexes/base.py:4767:16-46: Returned type `tuple[ExtensionArray | Index | ndarray | Unknown | Self@Index, ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]] | None, ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]] | None]` is not assignable to declared return type `tuple[Index, ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]] | None, ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]] | None]` [bad-return]
ERROR pandas/core/indexes/base.py:5055:50-55: Argument `Index` is not assignable to parameter `other` with type `Self@Index` in function `Index._left_indexer_unique` [bad-argument-type]
ERROR pandas/core/indexes/base.py:5057:61-66: Argument `Index` is not assignable to parameter `other` with type `Self@Index` in function `Index._left_indexer` [bad-argument-type]
ERROR pandas/core/indexes/base.py:5060:21-26: Argument `Index` is not assignable to parameter `other` with type `Self@Index` in function `Index._wrap_join_result` [bad-argument-type]
ERROR pandas/core/indexes/base.py:5075:21-26: Argument `Index` is not assignable to parameter `other` with type `Self@Index` in function `Index._wrap_join_result` [bad-argument-type]
ERROR pandas/core/indexes/base.py:5081:58-63: Argument `Index` is not assignable to parameter `other` with type `Self@Index` in function `Index._inner_indexer` [bad-argument-type]
ERROR pandas/core/indexes/base.py:5084:17-22: Argument `Index` is not assignable to parameter `other` with type `Self@Index` in function `Index._wrap_join_result` [bad-argument-type]
ERROR pandas/core/indexes/base.py:5090:58-63: Argument `Index` is not assignable to parameter `other` with type `Self@Index` in function `Index._outer_indexer` [bad-argument-type]
ERROR pandas/core/indexes/base.py:5093:17-22: Argument `Index` is not assignable to parameter `other` with type `Self@Index` in function `Index._wrap_join_result` [bad-argument-type]
ERROR pandas/core/indexes/base.py:5653:23-35: Object of class `object` has no attribute `to_numpy` [missing-attribute]
ERROR pandas/core/indexes/base.py:5664:25-30: No matching overload found for function `pandas.core.arrays.base.ExtensionArray.__getitem__` called with arguments: (ndarray | object | Unknown) [no-matching-overload]
ERROR pandas/core/indexes/base.py:5664:25-30: No matching overload found for function `numpy.ndarray.__getitem__` called with arguments: (ndarray | object | Unknown) [no-matching-overload]
ERROR pandas/core/indexes/base.py:5748:29-38: Argument `list[Index | Self@Index] | list[Self@Index]` is not assignable to parameter `to_concat` with type `list[Index]` in function `Index._concat` [bad-argument-type]
ERROR pandas/core/indexes/base.py:6076:47-6079:10: No matching overload found for function `numpy.ndarray.searchsorted` called with arguments: (ExtensionArray | ndarray, side=Literal['right']) [no-matching-overload]
ERROR pandas/core/indexes/base.py:6417:64-74: Argument `ExtensionArray | ndarray | Unknown` is not assignable to parameter `targets` with type `ndarray` in function `pandas._libs.index.ExtensionEngine.get_indexer_non_unique` [bad-argument-type]
ERROR pandas/core/indexes/base.py:6417:64-74: Argument `ExtensionArray | ndarray | Unknown` is not assignable to parameter `targets` with type `ndarray` in function `pandas._libs.index.IndexEngine.get_indexer_non_unique` [bad-argument-type]
ERROR pandas/core/indexes/category.py:195:5-10: Class member `CategoricalIndex._data` overrides parent class `NDArrayBackedExtensionIndex` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/indexes/category.py:207:11-32: Cannot index into `dict[type[int16] | type[int32] | type[int64] | type[int8], type[Int16Engine] | type[Int32Engine] | type[Int64Engine] | type[Int8Engine]]` [bad-index]
ERROR pandas/core/indexes/category.py:475:9-37: Class member `CategoricalIndex._maybe_cast_listlike_indexer` overrides parent class `NDArrayBackedExtensionIndex` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/indexes/datetimelike.py:107:5-10: Class member `DatetimeIndexOpsMixin._data` overrides parent class `NDArrayBackedExtensionIndex` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/indexes/datetimelike.py:381:58-68: Object of class `CategoricalIndex` has no attribute `asi8`
Object of class `Index` has no attribute `asi8` [missing-attribute]
ERROR pandas/core/indexes/datetimelike.py:509:12-16: `freq` may be uninitialized [unbound-name]
ERROR pandas/core/indexes/datetimelike.py:614:58-62: `reso` may be uninitialized [unbound-name]
ERROR pandas/core/indexes/datetimelike.py:614:64-70: `parsed` may be uninitialized [unbound-name]
ERROR pandas/core/indexes/datetimelike.py:655:9-37: Class member `DatetimeIndexOpsMixin._maybe_cast_listlike_indexer` overrides parent class `NDArrayBackedExtensionIndex` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/indexes/datetimelike.py:677:5-10: Class member `DatetimeTimedeltaMixin._data` overrides parent class `DatetimeIndexOpsMixin` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/indexes/datetimelike.py:1149:33-1151:14: No matching overload found for function `pandas._libs.tslibs.offsets.to_offset` called with arguments: (NaTType | Timedelta) [no-matching-overload]
ERROR pandas/core/indexes/datetimelike.py:1193:41-46: Argument `DatetimeTimedeltaMixin` is not assignable to parameter `other` with type `Self@DatetimeTimedeltaMixin` in function `DatetimeTimedeltaMixin._can_fast_intersect` [bad-argument-type]
ERROR pandas/core/indexes/datetimelike.py:1475:45-61: `-` is not supported between `NaTType` and `BaseOffset` [unsupported-operation]
ERROR pandas/core/indexes/datetimelike.py:1482:41-45: Argument `NaTType | Timedelta | Timestamp` is not assignable to parameter `dt` with type `datetime` in function `pandas._libs.tslibs.offsets.BaseOffset.is_on_offset` [bad-argument-type]
ERROR pandas/core/indexes/datetimelike.py:1620:13-25: Object of class `NDArrayBackedExtensionIndex` has no attribute `_freq` [missing-attribute]
ERROR pandas/core/indexes/datetimelike.py:1621:16-22: Returned type `NDArrayBackedExtensionIndex` is not assignable to declared return type `Self@DatetimeTimedeltaMixin` [bad-return]
ERROR pandas/core/indexes/datetimes.py:282:5-10: Class member `DatetimeIndex._data` overrides parent class `DatetimeTimedeltaMixin` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/indexes/datetimes.py:948:16-44: `%` is not supported between `NaTType` and `timedelta` [unsupported-operation]
ERROR pandas/core/indexes/datetimes.py:1125:17-31: Object of class `NaTType` has no attribute `start_time` [missing-attribute]
ERROR pandas/core/indexes/datetimes.py:1128:15-35: Object of class `NaTType` has no attribute `start_time` [missing-attribute]
ERROR pandas/core/indexes/datetimes.py:1128:16-23: `+` is not supported between `NaTType` and `Literal[1]` [unsupported-operation]
ERROR pandas/core/indexes/datetimes.py:1161:16-28: Returned type `tuple[NaTType | Timestamp, Resolution]` is not assignable to declared return type `tuple[Timestamp, Resolution]` [bad-return]
ERROR pandas/core/indexes/datetimes.py:1714:35-45: Object of class `NaTType` has no attribute `unit` [missing-attribute]
ERROR pandas/core/indexes/datetimes.py:1714:68-76: Object of class `NaTType` has no attribute `unit` [missing-attribute]
ERROR pandas/core/indexes/datetimes.py:1715:24-34: Object of class `NaTType` has no attribute `unit` [missing-attribute]
ERROR pandas/core/indexes/datetimes.py:1717:24-32: Object of class `NaTType` has no attribute `unit` [missing-attribute]
ERROR pandas/core/indexes/datetimes.py:1720:20-30: Object of class `NaTType` has no attribute `unit` [missing-attribute]
ERROR pandas/core/indexes/datetimes.py:1723:20-28: Object of class `NaTType` has no attribute `unit` [missing-attribute]
ERROR pandas/core/indexes/datetimes.py:1740:39-46: Object of class `NaTType` has no attribute `unit` [missing-attribute]
ERROR pandas/core/indexes/datetimes.py:1741:28-35: Object of class `NaTType` has no attribute `unit` [missing-attribute]
ERROR pandas/core/indexes/datetimes.py:1761:14-18: Argument `Literal['ms', 'ms', 'ns', 'ns', 's', 'us', 'us'] | Unknown | None` is not assignable to parameter `unit` with type `Literal['ms', 'ns', 's', 'us']` in function `pandas.core.arrays.datetimes.DatetimeArray._generate_range` [bad-argument-type]
ERROR pandas/core/indexes/extension.py:147:5-10: Class member `ExtensionIndex._data` overrides parent class `Index` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/indexes/extension.py:169:5-10: Class member `NDArrayBackedExtensionIndex._data` overrides parent class `ExtensionIndex` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/indexes/interval.py:261:5-10: Class member `IntervalIndex._data` overrides parent class `ExtensionIndex` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/indexes/interval.py:1449:36-41: Argument `Unknown | None` is not assignable to parameter `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64` in function `pandas.core.dtypes.cast.maybe_box_datetimelike` [bad-argument-type]
ERROR pandas/core/indexes/interval.py:1450:34-37: Argument `Unknown | None` is not assignable to parameter `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64` in function `pandas.core.dtypes.cast.maybe_box_datetimelike` [bad-argument-type]
ERROR pandas/core/indexes/interval.py:1471:29-35: No matching overload found for function `pandas._libs.tslibs.offsets.to_offset` called with arguments: (Literal['D', 1] | Unknown) [no-matching-overload]
ERROR pandas/core/indexes/interval.py:1509:31-64: No matching overload found for function `numpy._core.multiarray.arange` called with arguments: (Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64, Interval[float] | Timedelta | bytes | complex | complex128 | complexfloating | date | datetime | float | floating | timedelta | Unknown, Number | number | Unknown | None) [no-matching-overload]
ERROR pandas/core/indexes/interval.py:1509:39-57: `+` is not supported between `Timedelta` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1509:39-57: `+` is not supported between `Timestamp` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1509:39-57: `+` is not supported between `bytes` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1509:39-57: `+` is not supported between `date` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1509:39-57: `+` is not supported between `datetime` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1509:39-57: `+` is not supported between `datetime64` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1509:39-57: `+` is not supported between `str` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1509:39-57: `+` is not supported between `timedelta` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1509:39-57: `+` is not supported between `timedelta64` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1509:46-56: `*` is not supported between `Number` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1509:46-56: `*` is not supported between `None` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1510:44-59: No matching overload found for function `pandas.core.dtypes.cast.maybe_downcast_numeric` called with arguments: (DatetimeIndex | TimedeltaIndex | ndarray, dtype[float64] | dtype[floating] | dtype[integer] | dtype) [no-matching-overload]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Interval[float]` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Interval[float]` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Interval[float]` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Interval[int]` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Interval[int]` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Interval[int]` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Interval[Unknown]` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Interval[Unknown]` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Interval[Unknown]` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Timedelta` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Timedelta` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Timedelta` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Timestamp` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Timestamp` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `Timestamp` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `complex` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `complex` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `complex` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `complex128` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `complex128` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `complex128` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `complexfloating` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `complexfloating` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `complexfloating` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `date` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `date` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `date` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `datetime` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `datetime` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `datetime` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `datetime64` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `datetime64` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `datetime64` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `float` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `float` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `float` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `floating` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `floating` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `floating` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `int` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `int` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `int` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `timedelta` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `timedelta` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `timedelta` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `timedelta64` and `Number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `timedelta64` and `number` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:31-52: `//` is not supported between `timedelta64` and `None` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Interval[Unknown]` and `Interval[Unknown]` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Interval[Unknown]` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Interval[Unknown]` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Interval[Unknown]` and `complex` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Interval[Unknown]` and `complexfloating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Interval[Unknown]` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Interval[Unknown]` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Interval[Unknown]` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Interval[Unknown]` and `floating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Interval[Unknown]` and `integer` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Interval[Unknown]` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Interval[Unknown]` and `timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Interval[Unknown]` and `timedelta64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `bool` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `complex` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `complexfloating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `floating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `int` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `integer` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timedelta` and `timedelta64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timestamp` and `Interval[Unknown]` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timestamp` and `bool` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timestamp` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timestamp` and `complex` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timestamp` and `complexfloating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timestamp` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timestamp` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timestamp` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timestamp` and `floating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timestamp` and `int` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timestamp` and `integer` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `Timestamp` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bool` and `Timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bool` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bool` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bool` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bool` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bool` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bool` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bool` and `timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `Interval[Unknown]` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `Timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `bool` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `complex` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `complexfloating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `floating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `int` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `integer` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `bytes` and `timedelta64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complex` and `Interval[Unknown]` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complex` and `Timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complex` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complex` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complex` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complex` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complex` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complex` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complex` and `timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complex` and `timedelta64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complexfloating` and `Interval[Unknown]` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complexfloating` and `Timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complexfloating` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complexfloating` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complexfloating` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complexfloating` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complexfloating` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complexfloating` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complexfloating` and `timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `complexfloating` and `timedelta64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `date` and `Interval[Unknown]` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `date` and `bool` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `date` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `date` and `complex` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `date` and `complexfloating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `date` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `date` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `date` and `floating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `date` and `int` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `date` and `integer` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `date` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `date` and `timedelta64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime` and `Interval[Unknown]` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime` and `bool` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime` and `complex` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime` and `complexfloating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime` and `floating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime` and `int` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime` and `integer` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime` and `timedelta64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime64` and `Interval[Unknown]` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime64` and `Timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime64` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime64` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime64` and `complex` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime64` and `complexfloating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime64` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime64` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime64` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime64` and `floating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime64` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `datetime64` and `timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `float` and `Timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `float` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `float` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `float` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `float` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `float` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `float` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `float` and `timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `float` and `timedelta64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `floating` and `Interval[Unknown]` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `floating` and `Timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `floating` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `floating` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `floating` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `floating` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `floating` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `floating` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `floating` and `timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `floating` and `timedelta64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `int` and `Timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `int` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `int` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `int` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `int` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `int` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `int` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `int` and `timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `integer` and `Interval[Unknown]` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `integer` and `Timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `integer` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `integer` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `integer` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `integer` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `integer` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `integer` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `integer` and `timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `Interval[Unknown]` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `Timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `bool` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `complex` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `complexfloating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `floating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `int` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `integer` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `str` and `timedelta64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `Interval[Unknown]` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `bool` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `complex` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `complexfloating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `floating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `int` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `integer` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta` and `timedelta64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta64` and `Interval[Unknown]` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta64` and `Timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta64` and `Timestamp` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta64` and `bytes` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta64` and `complex` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta64` and `complexfloating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta64` and `date` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta64` and `datetime` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta64` and `datetime64` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta64` and `float` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta64` and `floating` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta64` and `str` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1514:32-43: `-` is not supported between `timedelta64` and `timedelta` [unsupported-operation]
ERROR pandas/core/indexes/interval.py:1520:33-54: No matching overload found for function `numpy._core.function_base.linspace` called with arguments: (Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64, Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64, int) [no-matching-overload]
ERROR pandas/core/indexes/interval.py:1523:44-59: No matching overload found for function `pandas.core.dtypes.cast.maybe_downcast_numeric` called with arguments: (DatetimeIndex | TimedeltaIndex | ndarray | Unknown, dtype[float64] | dtype[floating] | dtype[integer] | dtype) [no-matching-overload]
ERROR pandas/core/indexes/multi.py:1696:9-19: Class member `MultiIndex._set_names` overrides parent class `Index` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/indexes/multi.py:1723:22-27: Argument `Unknown | None` is not assignable to parameter `iterable` with type `Iterable[Unknown]` in function `list.__init__` [bad-argument-type]
ERROR pandas/core/indexes/multi.py:1752:5-10: Class member `MultiIndex.names` overrides parent class `Index` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/indexes/multi.py:1814:16-21: Returned type `int | integer | Any` is not assignable to declared return type `int` [bad-return]
ERROR pandas/core/indexes/multi.py:3189:9-18: Class member `MultiIndex.sortlevel` overrides parent class `Index` in an inconsistent manner [bad-override]
ERROR pandas/core/indexes/multi.py:3286:38-45: Cannot index into `FrozenList` [bad-index]
ERROR pandas/core/indexes/multi.py:3294:29-32: Cannot index into `FrozenList` [bad-index]
ERROR pandas/core/indexes/multi.py:3795:50-55: Argument `int | list[Hashable]` is not assignable to parameter `level` with type `int | list[int]` in function `MultiIndex._get_loc_level` [bad-argument-type]
ERROR pandas/core/indexes/multi.py:4455:22-66: Illegal `super(type[MultiIndex], Index)` call: `Index` is not an instance or subclass of `type[MultiIndex]` [invalid-super-call]
ERROR pandas/core/indexes/multi.py:4496:20-38: Returned type `Index` is not assignable to declared return type `MultiIndex` [bad-return]
ERROR pandas/core/indexes/multi.py:4606:9-29: Class member `MultiIndex._validate_fill_value` overrides parent class `Index` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/indexes/period.py:170:5-10: Class member `PeriodIndex._data` overrides parent class `DatetimeIndexOpsMixin` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/indexes/period.py:673:16-22: Returned type `NaTType | Period` is not assignable to declared return type `Period` [bad-return]
ERROR pandas/core/indexes/period.py:700:17-26: Object of class `NaTType` has no attribute `asfreq` [missing-attribute]
ERROR pandas/core/indexes/period.py:700:52-61: Object of class `NaTType` has no attribute `asfreq` [missing-attribute]
ERROR pandas/core/indexes/range.py:1222:9-16: Class member `RangeIndex._concat` overrides parent class `Index` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/indexes/range.py:1318:9-20: Class member `RangeIndex.__getitem__` overrides parent class `Index` in an inconsistent manner [bad-override]
ERROR pandas/core/indexes/range.py:1349:23-35: Object of class `object` has no attribute `to_numpy` [missing-attribute]
ERROR pandas/core/indexes/range.py:1355:30-33: Argument `ndarray[tuple[int], dtype[signedinteger[_NBitIntP]]] | object` is not assignable to parameter `indices` with type `Sequence[int] | ndarray` in function `RangeIndex.take` [bad-argument-type]
ERROR pandas/core/indexes/range.py:1357:39-44: No matching overload found for function `pandas.core.indexes.base.Index.__getitem__` called with arguments: (ndarray[tuple[int], dtype[signedinteger[_NBitIntP]]] | object) [no-matching-overload]
ERROR pandas/core/indexes/range.py:1624:9-21: Class member `RangeIndex.searchsorted` overrides parent class `Index` in an inconsistent manner [bad-override]
ERROR pandas/core/indexes/timedeltas.py:186:5-10: Class member `TimedeltaIndex._data` overrides parent class `DatetimeTimedeltaMixin` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/indexes/timedeltas.py:546:16-27: Object of class `Day` has no attribute `_creso` [missing-attribute]
ERROR pandas/core/indexing.py:1848:24-27: Argument `object` is not assignable to parameter `iterable` with type `Iterable[@_]` in function `list.__init__` [bad-argument-type]
ERROR pandas/core/indexing.py:2229:31-42: Object of class `ndarray` has no attribute `_reduce` [missing-attribute]
ERROR pandas/core/indexing.py:2230:31-42: Object of class `ndarray` has no attribute `_reduce` [missing-attribute]
ERROR pandas/core/indexing.py:2641:60-72: Cannot index into `Hashable` [bad-index]
ERROR pandas/core/indexing.py:2641:60-72: Cannot index into `slice[Any, Any, Any]` [bad-index]
ERROR pandas/core/indexing.py:3598:19-35: Object of class `ExtensionArray` has no attribute `_ndarray`
Object of class `ndarray` has no attribute `_ndarray` [missing-attribute]
ERROR pandas/core/indexing.py:3608:39-51: No matching overload found for function `numpy.ndarray.astype` called with arguments: (ExtensionDtype) [no-matching-overload]
ERROR pandas/core/indexing.py:3613:16-64: Object of class `ExtensionArray` has no attribute `all` [missing-attribute]
ERROR pandas/core/indexing.py:3617:28-35: Expected 0 positional arguments, got 1 in function `object.__init__` [bad-argument-count]
ERROR pandas/core/indexing.py:3617:28-35: Argument `ExtensionArray | ndarray | Unknown` is not assignable to parameter `shape` with type `Sequence[SupportsIndex] | SupportsIndex` in function `numpy.ndarray.__new__` [bad-argument-type]
ERROR pandas/core/interchange/column.py:176:17-31: Object of class `str` has no attribute `itemsize` [missing-attribute]
ERROR pandas/core/internals/api.py:82:5-11: Class member `_DatetimeTZBlock.values` overrides parent class `DatetimeLikeBlock` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/internals/blocks.py:524:47-527:10: No matching overload found for function `pandas._libs.lib.maybe_convert_objects` called with arguments: (ExtensionArray | ndarray | Any, convert_non_numeric=Literal[True]) [no-matching-overload]
ERROR pandas/core/internals/blocks.py:752:25-27: Argument `Block` is not assignable to parameter `self` with type `Self@Block` in function `Block.replace` [bad-argument-type]
ERROR pandas/core/internals/blocks.py:905:16-18: Returned type `list[Block] | list[Self@Block]` is not assignable to declared return type `list[Block]` [bad-return]
ERROR pandas/core/internals/blocks.py:1226:29-46: Cannot index into `ExtensionArray` [bad-index]
ERROR pandas/core/internals/blocks.py:1672:5-11: Class member `EABackedBlock.values` overrides parent class `Block` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/internals/blocks.py:2192:5-11: Class member `NumpyBlock.values` overrides parent class `Block` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/internals/blocks.py:2222:5-11: Class member `NDArrayBackedExtensionBlock.values` overrides parent class `EABackedBlock` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/internals/blocks.py:2236:5-11: Class member `DatetimeLikeBlock.values` overrides parent class `NDArrayBackedExtensionBlock` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/internals/construction.py:259:22-36: Object of class `ExtensionArray` has no attribute `reshape` [missing-attribute]
ERROR pandas/core/internals/construction.py:267:29-35: Argument `ExtensionArray | ndarray | Unknown` is not assignable to parameter `values` with type `ndarray` in function `_ensure_2d` [bad-argument-type]
ERROR pandas/core/internals/construction.py:299:39-45: Argument `ExtensionArray | ndarray | Unknown` is not assignable to parameter `values` with type `ndarray` in function `_check_values_indices_shape_match` [bad-argument-type]
ERROR pandas/core/internals/construction.py:654:34-39: `index` may be uninitialized [unbound-name]
ERROR pandas/core/internals/construction.py:663:25-30: `index` may be uninitialized [unbound-name]
ERROR pandas/core/internals/construction.py:800:24-39: Returned type `tuple[list[ndarray[tuple[Any, ...], Unknown]], Index | RangeIndex]` is not assignable to declared return type `tuple[list[ArrayLike], Index]` [bad-return]
ERROR pandas/core/internals/construction.py:816:16-31: Returned type `tuple[list[ndarray[tuple[Any, ...], Unknown]], Index | RangeIndex]` is not assignable to declared return type `tuple[list[ArrayLike], Index]` [bad-return]
ERROR pandas/core/internals/construction.py:843:53-59: Argument `list[ExtensionArray]` is not assignable to parameter `content` with type `list[ndarray]` in function `_validate_or_indexify_columns` [bad-argument-type]
ERROR pandas/core/internals/construction.py:844:20-35: Returned type `tuple[list[ExtensionArray], Index]` is not assignable to declared return type `tuple[list[ArrayLike], Index]` [bad-return]
ERROR pandas/core/internals/construction.py:847:31-35: Argument `list[tuple[Unknown, ...]]` is not assignable to parameter `data` with type `list[list[Unknown] | tuple[Unknown, ...]]` in function `_list_to_arrays` [bad-argument-type]
ERROR pandas/core/internals/construction.py:891:24-40: No matching overload found for function `numpy._core.shape_base.vstack` called with arguments: (list[ExtensionArray | ndarray]) [no-matching-overload]
ERROR pandas/core/internals/construction.py:1057:52-1065:22: No matching overload found for function `pandas._libs.lib.maybe_convert_objects` called with arguments: (ExtensionArray | ndarray, convert_numeric=Literal[False], convert_non_numeric=Literal[True], convert_to_nullable_dtype=bool, dtype_if_all_nat=dtype[datetime64]) [no-matching-overload]
ERROR pandas/core/internals/construction.py:1086:46-49: Argument `ExtensionArray | ndarray` is not assignable to parameter `value` with type `list[Unknown] | ndarray` in function `pandas.core.dtypes.cast.maybe_cast_to_datetime` [bad-argument-type]
ERROR pandas/core/internals/managers.py:865:25-871:26: Argument `Block` is not assignable to parameter `object` with type `NumpyBlock` in function `list.append` [bad-argument-type]
ERROR pandas/core/internals/managers.py:879:42-52: Argument `list[Block] | list[NumpyBlock]` is not assignable to parameter `blocks` with type `list[Block]` in function `BaseBlockManager.from_blocks` [bad-argument-type]
ERROR pandas/core/internals/managers.py:2502:40-76: No matching overload found for function `numpy._core.multiarray.concatenate` called with arguments: (list[ExtensionArray | ndarray], axis=Literal[0]) [no-matching-overload]
ERROR pandas/core/methods/describe.py:140:5-8: Class member `SeriesDescriber.obj` overrides parent class `NDFrameDescriberAbstract` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/methods/describe.py:162:5-8: Class member `DataFrameDescriber.obj` overrides parent class `NDFrameDescriberAbstract` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/missing.py:614:24-28: Argument `str | Unknown | None` is not assignable to parameter `kind` with type `Literal['cubic', 'linear', 'nearest', 'nearest-up', 'next', 'previous', 'quadratic', 'slinear', 'zero'] | int` in function `scipy.interpolate._interpolate.interp1d.__init__` [bad-argument-type]
ERROR pandas/core/missing.py:614:41-51: Argument `Unknown | None` is not assignable to parameter `fill_value` with type `Literal['extrapolate'] | SequenceND[_CanArray[floating_co] | float] | _CanArrayND[floating_co] | numpy.bool | float | floating | integer | tuple[SequenceND[_CanArray[floating_co] | float] | _CanArrayND[floating_co] | numpy.bool | float | floating | integer, SequenceND[_CanArray[floating_co] | float] | _CanArrayND[floating_co] | numpy.bool | float | floating | integer]` in function `scipy.interpolate._interpolate.interp1d.__init__` [bad-argument-type]
ERROR pandas/core/missing.py:619:28-38: `<=` is not supported between `None` and `Literal[0]` [unsupported-operation]
ERROR pandas/core/missing.py:623:53-58: Argument `Unknown | None` is not assignable to parameter `k` with type `Literal[1, 2, 3, 4, 5]` in function `scipy.interpolate._fitpack2.UnivariateSpline.__init__` [bad-argument-type]
ERROR pandas/core/nanops.py:143:30-37: Expected a callable, got `None` [not-callable]
ERROR pandas/core/nanops.py:1279:12-18: Returned type `float64 | floating | ndarray[tuple[Any, ...], dtype[floating]] | ndarray` is not assignable to declared return type `float | ndarray` [bad-return]
ERROR pandas/core/nanops.py:1336:12-18: Returned type `float64 | floating | ndarray[tuple[Any, ...], dtype[floating]] | ndarray` is not assignable to declared return type `float | ndarray` [bad-return]
ERROR pandas/core/nanops.py:1444:12-24: Object of class `int` has no attribute `astype` [missing-attribute]
ERROR pandas/core/ops/array_ops.py:129:48-57: Argument `ExtensionArray | Index | ndarray[tuple[int], dtype[object_]] | ndarray[tuple[int]] | ndarray[tuple[int], Unknown] | Unknown` is not assignable to parameter `right` with type `ndarray[tuple[Any, ...], dtype[object_]]` in function `pandas._libs.ops.vec_compare` [bad-argument-type]
ERROR pandas/core/ops/array_ops.py:152:26-47: No matching overload found for function `numpy._core.multiarray._ConstructorEmpty.__call__` called with arguments: (int, dtype=ExtensionDtype | dtype) [no-matching-overload]
ERROR pandas/core/ops/array_ops.py:161:30-41: Object of class `bool` has no attribute `ravel` [missing-attribute]
ERROR pandas/core/resample.py:139:5-13: Class member `Resampler._grouper` overrides parent class `BaseGroupBy` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/resample.py:446:45-49: Argument `Unknown | None` is not assignable to parameter `func` with type `((...) -> Unknown) | MutableMapping[Hashable, ((...) -> Unknown) | list[((...) -> Unknown) | str] | str] | list[((...) -> Unknown) | str] | str` in function `pandas.core.apply.ResamplerWindowApply.__init__` [bad-argument-type]
ERROR pandas/core/resample.py:1052:55-66: `final_index` may be uninitialized [unbound-name]
ERROR pandas/core/resample.py:2113:5-7: Class member `DatetimeIndexResampler.ax` overrides parent class `Resampler` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/resample.py:2161:9-18: Class member `DatetimeIndexResampler._upsample` overrides parent class `Resampler` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/resample.py:2524:31-48: `NaTType | Timestamp` is not assignable to attribute `origin` with type `Literal['end', 'end_day', 'epoch', 'start', 'start_day'] | Timestamp` [bad-assignment]
ERROR pandas/core/resample.py:2621:31-40: Argument `Unknown | None` is not assignable to parameter `freq` with type `BaseOffset | _NoDefault | str` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/core/resample.py:2634:31-40: Argument `Unknown | None` is not assignable to parameter `freq` with type `BaseOffset | _NoDefault | str` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/core/resample.py:2644:13-22: Argument `Unknown | None` is not assignable to parameter `freq` with type `BaseOffset` in function `_get_timestamp_range_edges` [bad-argument-type]
ERROR pandas/core/resample.py:2646:20-31: Argument `str` is not assignable to parameter `closed` with type `Literal['left', 'right']` in function `_get_timestamp_range_edges` [bad-argument-type]
ERROR pandas/core/resample.py:2648:20-31: Argument `NaTType | Timedelta | None` is not assignable to parameter `offset` with type `Timedelta | None` in function `_get_timestamp_range_edges` [bad-argument-type]
ERROR pandas/core/resample.py:2701:12-31: Object of class `NoneType` has no attribute `rule_code` [missing-attribute]
ERROR pandas/core/resample.py:2701:57-82: Object of class `object` has no attribute `split` [missing-attribute]
ERROR pandas/core/resample.py:2765:31-61: No matching overload found for function `pandas.core.base.IndexOpsMixin.searchsorted` called with arguments: (TimedeltaIndex, side=str) [no-matching-overload]
ERROR pandas/core/resample.py:2823:21-32: Object of class `NoneType` has no attribute `n` [missing-attribute]
ERROR pandas/core/resample.py:2838:24-35: Argument `str` is not assignable to parameter `closed` with type `Literal['left', 'right']` in function `_get_period_range_edges` [bad-argument-type]
ERROR pandas/core/resample.py:2840:24-35: Argument `NaTType | Timedelta | None` is not assignable to parameter `offset` with type `Timedelta | None` in function `_get_period_range_edges` [bad-argument-type]
ERROR pandas/core/resample.py:2868:74-83: Argument `Literal[0] | numpy.bool` is not assignable to parameter `nat_count` with type `int` in function `_insert_nat_bin` [bad-argument-type]
ERROR pandas/core/resample.py:2959:22-58: `NaTType | Timestamp` is not assignable to variable `origin` with type `Literal['end', 'end_day', 'epoch', 'start', 'start_day'] | Timestamp` [bad-assignment]
ERROR pandas/core/resample.py:2975:21-52: `NaTType | Timestamp` is not assignable to variable `first` with type `Timestamp` [bad-assignment]
ERROR pandas/core/resample.py:2977:21-44: `NaTType | Timestamp` is not assignable to variable `first` with type `Timestamp` [bad-assignment]
ERROR pandas/core/resample.py:2979:16-38: `NaTType | Timestamp` is not assignable to variable `last` with type `Timestamp` [bad-assignment]
ERROR pandas/core/resample.py:3141:12-28: Returned type `tuple[NaTType | Timestamp, NaTType | Timestamp]` is not assignable to declared return type `tuple[Timestamp, Timestamp]` [bad-return]
ERROR pandas/core/resample.py:3215:12-21: Returned type `(PeriodIndex & FreqIndexT) | DatetimeIndex | TimedeltaIndex` is not assignable to declared return type `FreqIndexT` [bad-return]
ERROR pandas/core/reshape/concat.py:78:5-11: Default `Literal[_NoDefault.no_default]` from implementation is not assignable to overload parameter `sort` with type `bool` [inconsistent-overload-default]
ERROR pandas/core/reshape/melt.py:252:30-86: Cannot set item in `dict[Hashable, AnyArrayLike]` [unsupported-operation]
ERROR pandas/core/reshape/merge.py:134:22-29: Cannot set item in `dict[type[bool] | type[complex128] | type[float64] | type[object_] | type[complex64] | type[float32] | type[int16] | type[int32] | type[int64] | type[int8] | type[longlong] | type[uint16] | type[uint32] | type[uint64] | type[uint8], type[Complex128Factorizer] | type[Complex64Factorizer] | type[Float32Factorizer] | type[Float64Factorizer] | type[Int16Factorizer] | type[Int32Factorizer] | type[Int64Factorizer] | type[Int8Factorizer] | type[ObjectFactorizer] | type[UInt16Factorizer] | type[UInt32Factorizer] | type[UInt64Factorizer] | type[UInt8Factorizer]]` [unsupported-operation]
ERROR pandas/core/reshape/merge.py:136:22-29: Cannot set item in `dict[type[bool] | type[complex128] | type[float64] | type[object_] | type[complex64] | type[float32] | type[int16] | type[int32] | type[int64] | type[int8] | type[longlong] | type[uint16] | type[uint32] | type[uint64] | type[uint8], type[Complex128Factorizer] | type[Complex64Factorizer] | type[Float32Factorizer] | type[Float64Factorizer] | type[Int16Factorizer] | type[Int32Factorizer] | type[Int64Factorizer] | type[Int8Factorizer] | type[ObjectFactorizer] | type[UInt16Factorizer] | type[UInt32Factorizer] | type[UInt64Factorizer] | type[UInt8Factorizer]]` [unsupported-operation]
ERROR pandas/core/reshape/merge.py:140:22-30: Cannot set item in `dict[type[bool] | type[complex128] | type[float64] | type[object_] | type[complex64] | type[float32] | type[int16] | type[int32] | type[int64] | type[int8] | type[longlong] | type[uint16] | type[uint32] | type[uint64] | type[uint8], type[Complex128Factorizer] | type[Complex64Factorizer] | type[Float32Factorizer] | type[Float64Factorizer] | type[Int16Factorizer] | type[Int32Factorizer] | type[Int64Factorizer] | type[Int8Factorizer] | type[ObjectFactorizer] | type[UInt16Factorizer] | type[UInt32Factorizer] | type[UInt64Factorizer] | type[UInt8Factorizer]]` [unsupported-operation]
ERROR pandas/core/reshape/merge.py:142:22-30: Cannot set item in `dict[type[bool] | type[complex128] | type[float64] | type[object_] | type[complex64] | type[float32] | type[int16] | type[int32] | type[int64] | type[int8] | type[longlong] | type[uint16] | type[uint32] | type[uint64] | type[uint8], type[Complex128Factorizer] | type[Complex64Factorizer] | type[Float32Factorizer] | type[Float64Factorizer] | type[Int16Factorizer] | type[Int32Factorizer] | type[Int64Factorizer] | type[Int8Factorizer] | type[ObjectFactorizer] | type[UInt16Factorizer] | type[UInt32Factorizer] | type[UInt64Factorizer] | type[UInt8Factorizer]]` [unsupported-operation]
ERROR pandas/core/reshape/merge.py:495:29-36: Unexpected keyword argument `columns` in function `pandas.core.series.Series.reindex` [unexpected-keyword]
ERROR pandas/core/reshape/merge.py:1186:35-65: Object of class `int` has no attribute `astype` [missing-attribute]
ERROR pandas/core/reshape/merge.py:1189:37-69: Object of class `int` has no attribute `astype` [missing-attribute]
ERROR pandas/core/reshape/merge.py:1936:16-24: Argument `Hashable | Index | Sequence[Hashable] | list[Unknown] | list[None] | tuple[Unknown, ...] | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/core/reshape/merge.py:1936:33-40: Argument `Hashable | Index | Sequence[Hashable] | list[Unknown] | list[None] | tuple[Unknown, ...] | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/core/reshape/merge.py:2286:14-17: Class member `_CrossMergeOperation.how` overrides parent class `_MergeOperation` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/reshape/merge.py:2294:14-21: Class member `_CrossMergeOperation.left_on` overrides parent class `_MergeOperation` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/reshape/merge.py:2295:14-22: Class member `_CrossMergeOperation.right_on` overrides parent class `_MergeOperation` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/reshape/merge.py:2509:41-54: Argument `Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/core/reshape/merge.py:2513:24-54: `+` is not supported between `None` and `list[Unknown]` [unsupported-operation]
ERROR pandas/core/reshape/merge.py:2654:32-63: Object of class `ExtensionDtype` has no attribute `pyarrow_dtype`
Object of class `dtype` has no attribute `pyarrow_dtype` [missing-attribute]
ERROR pandas/core/reshape/merge.py:3001:32-39: Argument `ExtensionArray | ndarray` is not assignable to parameter `values` with type `ndarray` in function `pandas._libs.hashtable.Factorizer.factorize` [bad-argument-type]
ERROR pandas/core/reshape/merge.py:3016:36-43: Argument `ExtensionArray | ndarray` is not assignable to parameter `values` with type `ndarray` in function `pandas._libs.hashtable.Factorizer.factorize` [bad-argument-type]
ERROR pandas/core/reshape/merge.py:3018:32-39: Argument `ExtensionArray | ndarray` is not assignable to parameter `values` with type `ndarray` in function `pandas._libs.hashtable.Factorizer.factorize` [bad-argument-type]
ERROR pandas/core/reshape/merge.py:3019:32-39: Argument `ExtensionArray | ndarray` is not assignable to parameter `values` with type `ndarray` in function `pandas._libs.hashtable.Factorizer.factorize` [bad-argument-type]
ERROR pandas/core/reshape/pivot.py:417:30-42: `values_multi` may be uninitialized [unbound-name]
ERROR pandas/core/reshape/pivot.py:623:25-34: Argument `list[Hashable | Unknown]` is not assignable to parameter `tuples` with type `Iterable[tuple[Hashable, ...]]` in function `pandas.core.indexes.multi.MultiIndex.from_tuples` [bad-argument-type]
ERROR pandas/core/reshape/reshape.py:902:48-51: Argument `ndarray[tuple[int], dtype[float64 | Any]]` is not assignable to parameter `indices` with type `Sequence[int] | Sequence[integer] | ndarray[tuple[Any, ...], dtype[integer]]` in function `pandas.core.arrays.base.ExtensionArray.take` [bad-argument-type]
ERROR pandas/core/reshape/tile.py:553:31-48: No matching overload found for function `pandas.core.array_algos.take.take_nd` called with arguments: (Categorical | IntervalIndex | Unknown, ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]]) [no-matching-overload]
ERROR pandas/core/series.py:342:5-12: Class member `Series.hasnans` overrides parent class `IndexOpsMixin` in an inconsistent manner [bad-override]
ERROR pandas/core/series.py:347:5-9: Class member `Series._mgr` overrides parent class `NDFrame` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/series.py:477:47-51: Argument `Collection[Interval[Unknown] | Timedelta | Timestamp | bool | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64] | Interval[Unknown] | Timedelta | Timestamp | bool | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/core/series.py:484:39-43: Argument `Collection[Interval[Unknown] | Timedelta | Timestamp | bool | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64] | ExtensionArray | Index | Interval[Unknown] | SingleBlockManager | Timedelta | Timestamp | bool | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | list[Collection[Interval[Unknown] | Timedelta | Timestamp | bool | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | str | timedelta | timedelta64] | ExtensionArray | Index | Interval[Unknown] | SingleBlockManager | Timedelta | Timestamp | bool | complex | complexfloating | date | datetime | datetime64 | float | floating | int | integer | ndarray[Unknown, Unknown] | str | timedelta | timedelta64 | Unknown] | ndarray[Unknown, Unknown] | str | timedelta | timedelta64 | Unknown` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/core/series.py:1036:9-20: Class member `Series.__getitem__` overrides parent class `NDFrame` in an inconsistent manner [bad-override-param-name]
ERROR pandas/core/series.py:1668:22-50: No matching overload found for function `open` called with arguments: (PathLike[str] | WriteBuffer[str] | str, Literal['w'], encoding=Literal['utf-8']) [no-matching-overload]
ERROR pandas/core/series.py:3582:19-24: Argument `Series` is not assignable to parameter `other` with type `Self@Series` in function `pandas.core.generic.NDFrame.compare` [bad-argument-type]
ERROR pandas/core/series.py:3768:16-67: Returned type `DataFrame | Series` is not assignable to declared return type `Series` [bad-return]
ERROR pandas/core/series.py:4776:39-45: Argument `ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]] | Unknown` is not assignable to parameter `repeats` with type `Sequence[int] | int` in function `pandas.core.indexes.base.Index.repeat` [bad-argument-type]
ERROR pandas/core/series.py:5120:32-36: Argument `dict[str, Unknown] | Unknown` is not assignable to parameter `func` with type `((...) -> Unknown) | MutableMapping[Hashable, ((...) -> Unknown) | list[((...) -> Unknown) | str] | str] | list[((...) -> Unknown) | str] | str` in function `pandas.core.apply.SeriesApply.__init__` [bad-argument-type]
ERROR pandas/core/series.py:5548:35-5553:14: No matching overload found for function `pandas.core.generic.NDFrame._rename` called with arguments: (((Any) -> Hashable) | ((...) -> object) | Hashable | Mapping[Any, Hashable] | None, inplace=bool, level=Hashable | None, errors=Literal['ignore', 'raise']) [no-matching-overload]
ERROR pandas/core/series.py:5845:9-20: Class member `Series.rename_axis` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
ERROR pandas/core/series.py:6658:16-34: Returned type `NDFrame` is not assignable to declared return type `Series` [bad-return]
ERROR pandas/core/series.py:7065:5-22: Class member `Series._info_axis_number` overrides parent class `NDFrame` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/series.py:7066:5-20: Class member `Series._info_axis_name` overrides parent class `NDFrame` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/core/series.py:9924:16-67: Returned type `NDFrame` is not assignable to declared return type `Self@Series` [bad-return]
ERROR pandas/core/series.py:9988:16-67: Returned type `NDFrame` is not assignable to declared return type `Self@Series` [bad-return]
ERROR pandas/core/series.py:10051:16-67: Returned type `NDFrame` is not assignable to declared return type `Self@Series` [bad-return]
ERROR pandas/core/series.py:10115:16-68: Returned type `NDFrame` is not assignable to declared return type `Self@Series` [bad-return]
ERROR pandas/core/sorting.py:301:29-33: `lift` may be uninitialized [unbound-name]
ERROR pandas/core/sorting.py:460:16-464:10: Returned type `Series | ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]] | ndarray` is not assignable to declared return type `ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]]` [bad-return]
ERROR pandas/core/sorting.py:461:13-22: Unexpected keyword argument `ascending` in function `pandas.core.series.Series.argsort` [unexpected-keyword]
ERROR pandas/core/sorting.py:463:13-24: Unexpected keyword argument `na_position` in function `pandas.core.series.Series.argsort` [unexpected-keyword]
ERROR pandas/core/strings/accessor.py:201:27-37: `Index` is not assignable to attribute `_index` with type `None` [bad-assignment]
ERROR pandas/core/strings/accessor.py:202:26-35: `Hashable` is not assignable to attribute `_name` with type `None` [bad-assignment]
ERROR pandas/core/strings/accessor.py:296:33-61: No attribute `list_value_length` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/strings/accessor.py:297:27-41: No attribute `max` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/strings/accessor.py:298:27-41: No attribute `min` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/strings/accessor.py:307:25-46: No attribute `list_slice` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/strings/accessor.py:317:21-44: No attribute `list_flatten` in module `pyarrow.compute` [missing-attribute]
ERROR pandas/core/strings/accessor.py:894:21-48: Object of class `str` has no attribute `categories` [missing-attribute]
ERROR pandas/core/strings/accessor.py:1115:21-48: Object of class `str` has no attribute `categories` [missing-attribute]
ERROR pandas/core/strings/accessor.py:1207:21-48: Object of class `str` has no attribute `categories` [missing-attribute]
ERROR pandas/core/strings/accessor.py:4774:12-18: `result` may be uninitialized [unbound-name]
ERROR pandas/core/strings/object_array.py:230:20-45: Object of class `type` has no attribute `_from_sequence` [missing-attribute]
ERROR pandas/core/tools/datetimes.py:632:14-41: Object of class `NaTType` has no attribute `to_julian_date` [missing-attribute]
ERROR pandas/core/tools/datetimes.py:674:15-67: `+` is not supported between `NaTType` and `ExtensionArray` [unsupported-operation]
ERROR pandas/core/tools/datetimes.py:674:15-67: `+` is not supported between `Timestamp` and `ExtensionArray` [unsupported-operation]
ERROR pandas/core/tools/datetimes.py:674:50-66: No matching overload found for function `pandas.core.tools.timedeltas.to_timedelta` called with arguments: (float | int | integer | Unknown, unit=Unknown) [no-matching-overload]
ERROR pandas/core/tools/datetimes.py:679:5-16: Default `Literal[_NoDefault.no_default]` from implementation is not assignable to overload parameter `exact` with type `bool` [inconsistent-overload-default]
ERROR pandas/core/tools/datetimes.py:1093:42-49: `arg_idx` may be uninitialized [unbound-name]
ERROR pandas/core/tools/datetimes.py:1152:45-49: `argc` may be uninitialized [unbound-name]
ERROR pandas/core/tools/datetimes.py:1154:39-43: `argc` may be uninitialized [unbound-name]
ERROR pandas/core/tools/datetimes.py:1158:22-34: `bool` is not assignable to variable `result` with type `Index | NaTType | Series | Timestamp` [bad-assignment]
ERROR pandas/core/tools/numeric.py:244:16-27: Object of class `ndarray` has no attribute `isna` [missing-attribute]
ERROR pandas/core/tools/numeric.py:245:18-31: Object of class `ndarray` has no attribute `dropna` [missing-attribute]
ERROR pandas/core/tools/numeric.py:281:67-75: No matching overload found for function `numpy._core.fromnumeric.amin` called with arguments: (ExtensionArray | Index | ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]] | ndarray | Unknown) [no-matching-overload]
ERROR pandas/core/tools/numeric.py:297:38-59: Object of class `ExtensionDtype` has no attribute `itemsize` [missing-attribute]
ERROR pandas/core/tools/numeric.py:298:52-67: No matching overload found for function `pandas.core.dtypes.cast.maybe_downcast_numeric` called with arguments: (ExtensionArray | Index | ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]] | ndarray | Unknown, dtype) [no-matching-overload]
ERROR pandas/core/tools/numeric.py:313:24-56: No matching overload found for function `numpy._core.multiarray._ConstructorEmpty.__call__` called with arguments: (tuple[Any, ...] | Unknown, dtype=ExtensionDtype | dtype[signedinteger[_64Bit]] | dtype | Unknown) [no-matching-overload]
ERROR pandas/core/window/common.py:110:29-48: Object of class `Index` has no attribute `levels` [missing-attribute]
ERROR pandas/core/window/ewm.py:1016:47-55: Argument `Unknown | None` is not assignable to parameter `_grouper` with type `BaseGrouper` in function `pandas.core.window.rolling.BaseWindowGroupby.__init__` [bad-argument-type]
ERROR pandas/core/window/numba_.py:64:18-43: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/window/numba_.py:125:18-42: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/window/numba_.py:220:18-43: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/window/numba_.py:252:18-46: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/window/numba_.py:315:22-44: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/window/online.py:66:22-44: Type `prange` is not iterable [not-iterable]
ERROR pandas/core/window/rolling.py:422:47-58: Argument `Unknown | None` is not assignable to parameter `window_size` with type `int` in function `pandas.core.indexers.objects.BaseIndexer.__init__` [bad-argument-type]
ERROR pandas/core/window/rolling.py:1290:45-49: Argument `Unknown | None` is not assignable to parameter `func` with type `((...) -> Unknown) | MutableMapping[Hashable, ((...) -> Unknown) | list[((...) -> Unknown) | str] | str] | list[((...) -> Unknown) | str] | str` in function `pandas.core.apply.ResamplerWindowApply.__init__` [bad-argument-type]
ERROR pandas/core/window/rolling.py:1293:22-26: Expected a callable, got `None` [not-callable]
ERROR pandas/core/window/rolling.py:3555:25-31: Argument `BaseIndexer | int | Unknown | None` is not assignable to parameter `window_size` with type `BaseIndexer | int` in function `pandas.core.indexers.objects.GroupbyIndexer.__init__` [bad-argument-type]
ERROR pandas/io/clipboard/__init__.py:121:18-28: Could not find name `Foundation` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:122:45-55: Could not find name `Foundation` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:123:17-23: Could not find name `AppKit` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:124:36-42: Could not find name `AppKit` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:125:41-47: Could not find name `AppKit` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:129:17-23: Could not find name `AppKit` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:130:40-46: Could not find name `AppKit` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:137:12-24: Could not find name `QApplication` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:142:9-48: Cannot find module `qtpy.QtWidgets` [missing-import]
ERROR pandas/io/clipboard/__init__.py:147:13-49: Cannot find module `PyQt4.QtGui` [missing-import]
ERROR pandas/io/clipboard/__init__.py:155:14-27: Object of class `QCoreApplication` has no attribute `clipboard` [missing-attribute]
ERROR pandas/io/clipboard/__init__.py:159:14-27: Object of class `QCoreApplication` has no attribute `clipboard` [missing-attribute]
ERROR pandas/io/clipboard/__init__.py:330:15-21: Object of class `CheckedCall` has no attribute `f` [missing-attribute]
ERROR pandas/io/clipboard/__init__.py:332:64-70: Object of class `CheckedCall` has no attribute `f` [missing-attribute]
ERROR pandas/io/clipboard/__init__.py:336:17-23: Object of class `CheckedCall` has no attribute `f` [missing-attribute]
ERROR pandas/io/clipboard/__init__.py:340:12-19: Could not find name `HGLOBAL` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:340:21-27: Could not find name `LPVOID` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:340:29-34: Could not find name `DWORD` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:340:36-42: Could not find name `LPCSTR` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:340:44-47: Could not find name `INT` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:341:12-16: Could not find name `HWND` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:341:18-27: Could not find name `HINSTANCE` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:341:29-34: Could not find name `HMENU` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:341:36-40: Could not find name `BOOL` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:341:42-46: Could not find name `UINT` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:341:48-54: Could not find name `HANDLE` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:356:14-27: No attribute `windll` in module `ctypes` [missing-attribute]
ERROR pandas/io/clipboard/__init__.py:532:12-22: Could not find name `Foundation` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:532:24-30: Could not find name `AppKit` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:532:32-36: Could not find name `qtpy` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:532:38-43: Could not find name `PyQt4` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:532:45-50: Could not find name `PyQt5` [unknown-name]
ERROR pandas/io/clipboard/__init__.py:561:20-26: Cannot find module `AppKit` [missing-import]
ERROR pandas/io/clipboard/__init__.py:562:20-30: Cannot find module `Foundation` [missing-import]
ERROR pandas/io/clipboard/__init__.py:583:20-24: Cannot find module `qtpy` [missing-import]
ERROR pandas/io/clipboard/__init__.py:590:28-33: Cannot find module `PyQt4` [missing-import]
ERROR pandas/io/common.py:818:39-824:18: No matching overload found for function `gzip.GzipFile.__init__` called with arguments: (fileobj=BaseBuffer, mode=str, **dict[str, Any]) [no-matching-overload]
ERROR pandas/io/common.py:929:24-30: Argument `BZ2File | BytesIO | GzipFile | IO[bytes] | LZMAFile | _BytesTarFile | _BytesZipFile | Unknown` is not assignable to parameter `object` with type `BaseBuffer` in function `list.append` [bad-argument-type]
ERROR pandas/io/common.py:957:54-60: Argument `BZ2File | BaseBuffer | BytesIO | GzipFile | IO[bytes] | IO[Any] | LZMAFile | _BytesTarFile | _BytesZipFile | Unknown` is not assignable to parameter `handle` with type `BaseBuffer | PathLike[str] | str` in function `_is_binary_mode` [bad-argument-type]
ERROR pandas/io/common.py:964:33-39: Argument `BZ2File | BaseBuffer | BytesIO | GzipFile | IO[bytes] | IO[Any] | LZMAFile | _BytesTarFile | _BytesZipFile | Unknown` is not assignable to parameter `buffer` with type `BaseBuffer` in function `_IOWrapper.__init__` [bad-argument-type]
ERROR pandas/io/common.py:967:31-972:10: `BZ2File | BaseBuffer | BytesIO | GzipFile | IO[bytes] | IO[Any] | LZMAFile | _BytesTarFile | _BytesZipFile | _IOWrapper | Unknown` is not assignable to upper bound `_WrappedBuffer` of type variable `_BufferT_co` [bad-specialization]
ERROR pandas/io/common.py:1206:13-1210:14: Argument `mmap` is not assignable to parameter `buffer` with type `BaseBuffer` in function `_IOWrapper.__init__` [bad-argument-type]
ERROR pandas/io/common.py:1225:12-42: Returned type `tuple[_IOWrapper, Literal[True], list[_IOWrapper]]` is not assignable to declared return type `tuple[BaseBuffer | str, bool, list[BaseBuffer]]` [bad-return]
ERROR pandas/io/excel/_base.py:892:28-39: `control_row` may be uninitialized [unbound-name]
ERROR pandas/io/excel/_base.py:1214:16-35: Returned type `ExcelWriter[Unknown] | Self@ExcelWriter` is not assignable to declared return type `Self@ExcelWriter` [bad-return]
ERROR pandas/io/excel/_base.py:1406:16-24: Returned type `tuple[Decimal | bool | date | datetime | float | int | str, str | None]` is not assignable to declared return type `tuple[bool | date | datetime | float | int | str, str | None]` [bad-return]
ERROR pandas/io/excel/_base.py:1631:76-80: `xlrd` may be uninitialized [unbound-name]
ERROR pandas/io/excel/_calamine.py:103:9-23: Class member `CalamineReader.get_sheet_data` overrides parent class `BaseExcelReader` in an inconsistent manner [bad-override-param-name]
ERROR pandas/io/excel/_calamine.py:110:20-36: Object of class `bool` has no attribute `is_integer`
Object of class `int` has no attribute `is_integer` [missing-attribute]
ERROR pandas/io/excel/_odfreader.py:107:9-23: Class member `ODFReader.get_sheet_data` overrides parent class `BaseExcelReader` in an inconsistent manner [bad-override-param-name]
ERROR pandas/io/excel/_odfreader.py:220:35-45: Object of class `NaTType` has no attribute `time` [missing-attribute]
ERROR pandas/io/excel/_odfreader.py:251:34-71: Argument `str` is not assignable to parameter `object` with type `LiteralString` in function `list.append` [bad-argument-type]
ERROR pandas/io/excel/_odfreader.py:253:30-55: Argument `str` is not assignable to parameter `object` with type `LiteralString` in function `list.append` [bad-argument-type]
ERROR pandas/io/excel/_odswriter.py:67:23-46: Expected a type form, got instance of `() -> Unknown` [not-a-type]
ERROR pandas/io/excel/_openpyxl.py:332:31-40: Argument `str` is not assignable to parameter `style` with type `Literal['dashDot', 'dashDotDot', 'dashed', 'dotted', 'double', 'hair', 'medium', 'mediumDashDot', 'mediumDashDotDot', 'mediumDashed', 'none', 'slantDashDot', 'thick', 'thin'] | None` in function `openpyxl.styles.borders.Side.__init__` [bad-argument-type]
ERROR pandas/io/excel/_openpyxl.py:731:9-23: Class member `OpenpyxlReader.get_sheet_data` overrides parent class `BaseExcelReader` in an inconsistent manner [bad-override-param-name]
ERROR pandas/io/excel/_pyxlsb.py:118:9-23: Class member `PyxlsbReader.get_sheet_data` overrides parent class `BaseExcelReader` in an inconsistent manner [bad-override-param-name]
ERROR pandas/io/excel/_xlrd.py:93:9-23: Class member `XlrdReader.get_sheet_data` overrides parent class `BaseExcelReader` in an inconsistent manner [bad-override-param-name]
ERROR pandas/io/formats/excel.py:251:21-24: Argument `dict[str, dict[str, bool | float | str | None] | dict[str, bool | str | None] | dict[str, str | None] | dict[str, dict[str, str | None]] | Unknown]` is not assignable to parameter `d` with type `dict[str, str | None]` in function `remove_none` [bad-argument-type]
ERROR pandas/io/formats/excel.py:252:16-19: Returned type `dict[str, dict[str, bool | float | str | None] | dict[str, bool | str | None] | dict[str, str | None] | dict[str, dict[str, str | None]] | Unknown]` is not assignable to declared return type `dict[str, dict[str, str]]` [bad-return]
ERROR pandas/io/formats/format.py:1158:9-15: Argument `DatetimeArray | ExtensionArray | TimedeltaArray | ndarray` is not assignable to parameter `values` with type `DatetimeArray` in function `_Datetime64Formatter.__init__` [bad-argument-type]
ERROR pandas/io/formats/format.py:1158:9-15: Argument `DatetimeArray | ExtensionArray | TimedeltaArray | ndarray` is not assignable to parameter `values` with type `TimedeltaArray` in function `_Timedelta64Formatter.__init__` [bad-argument-type]
ERROR pandas/io/formats/format.py:1266:35-47: Expected a callable, got `str` [not-callable]
ERROR pandas/io/formats/format.py:1495:5-11: Class member `_Datetime64Formatter.values` overrides parent class `_GenericArrayFormatter` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/io/formats/format.py:1520:5-11: Class member `_ExtensionArrayFormatter.values` overrides parent class `_GenericArrayFormatter` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/io/formats/format.py:1667:5-11: Class member `_Timedelta64Formatter.values` overrides parent class `_GenericArrayFormatter` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/io/formats/format.py:1710:18-30: Object of class `NaTType` has no attribute `_repr_base`
Object of class `Timedelta` has no attribute `_repr_base` [missing-attribute]
ERROR pandas/io/formats/html.py:465:28-40: `index_values` may be uninitialized [unbound-name]
ERROR pandas/io/formats/info.py:194:14-18: Class member `DataFrameInfo.data` overrides parent class `_BaseInfo` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/io/formats/info.py:267:14-18: Class member `SeriesInfo.data` overrides parent class `_BaseInfo` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/io/formats/info.py:525:14-18: Class member `_DataFrameTableBuilder.info` overrides parent class `_TableBuilderAbstract` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/io/formats/info.py:693:14-18: Class member `_DataFrameTableBuilderVerbose.info` overrides parent class `_TableBuilderVerboseMixin` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/io/formats/info.py:761:14-18: Class member `_SeriesTableBuilder.info` overrides parent class `_TableBuilderAbstract` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/io/formats/info.py:807:14-18: Class member `_SeriesTableBuilderVerbose.info` overrides parent class `_TableBuilderVerboseMixin` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/io/formats/printing.py:482:20-36: `+` is not supported between `tuple[str, ...]` and `LiteralString` [unsupported-operation]
ERROR pandas/io/formats/printing.py:491:20-35: `+` is not supported between `tuple[str, ...]` and `LiteralString` [unsupported-operation]
ERROR pandas/io/formats/printing.py:495:53-61: Argument `str | tuple[str, ...] | Unknown` is not assignable to parameter `value` with type `str` in function `_extend_line` [bad-argument-type]
ERROR pandas/io/formats/string.py:142:31-34: `idx` may be uninitialized [unbound-name]
ERROR pandas/io/formats/style.py:2119:33-39: `result` may be uninitialized [unbound-name]
ERROR pandas/io/formats/style.py:2867:24-55: Unpacked `dict[str, str]` is not assignable to `dict[str, str]` [bad-unpacking]
ERROR pandas/io/formats/style_render.py:1870:32-42: `last_label` is uninitialized [unbound-name]
ERROR pandas/io/html.py:635:9-18: Class member `_BeautifulSoupHtml5LibFrameParser._parse_td` overrides parent class `_HtmlFrameParser` in an inconsistent manner [bad-override-param-name]
ERROR pandas/io/html.py:727:9-18: Class member `_LxmlFrameParser._parse_td` overrides parent class `_HtmlFrameParser` in an inconsistent manner [bad-override-param-name]
ERROR pandas/io/html.py:732:9-22: Class member `_LxmlFrameParser._parse_tables` overrides parent class `_HtmlFrameParser` in an inconsistent manner [bad-override-param-name]
ERROR pandas/io/json/_json.py:1073:38-46: Argument `bool | None` is not assignable to parameter `convert_axes` with type `bool` in function `Parser.__init__` [bad-argument-type]
ERROR pandas/io/json/_json.py:1077:39-47: Argument `bool | None` is not assignable to parameter `convert_axes` with type `bool` in function `Parser.__init__` [bad-argument-type]
ERROR pandas/io/json/_json.py:1380:32-84: Returned type `Timestamp` is not assignable to declared return type `Series` [bad-return]
ERROR pandas/io/json/_table_schema.py:311:36-53: Object of class `Index` has no attribute `levels` [missing-attribute]
ERROR pandas/io/parsers/arrow_parser_wrapper.py:184:30-57: `+` is not supported between `list[str]` and `range` [unsupported-operation]
ERROR pandas/io/parsers/base_parser.py:434:20-21: Returned type `int | integer` is not assignable to declared return type `int` [bad-return]
ERROR pandas/io/parsers/base_parser.py:916:29-41: Argument `Hashable` is not assignable to parameter `element` with type `str` in function `set.add` [bad-argument-type]
ERROR pandas/io/parsers/c_parser_wrapper.py:137:45-71: `set[int]` is not assignable to upper bound `Sequence[Hashable]` of type variable `SequenceT` [bad-specialization]
ERROR pandas/io/parsers/c_parser_wrapper.py:147:45-150:18: `set[int]` is not assignable to upper bound `Sequence[Hashable]` of type variable `SequenceT` [bad-specialization]
ERROR pandas/io/parsers/c_parser_wrapper.py:240:42-65: `MultiIndex | list[Hashable]` is not assignable to upper bound `Sequence[Hashable]` of type variable `SequenceT` [bad-specialization]
ERROR pandas/io/parsers/python_parser.py:172:14-24: Class member `PythonParser.orig_names` overrides parent class `ParserBase` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/io/parsers/python_parser.py:434:21-56: Argument `set[Unknown] | Unknown` is not assignable to parameter `values` with type `ExtensionArray | Index | SequenceNotStr[Unknown] | Series | ndarray | range` in function `pandas.core.algorithms.isin` [bad-argument-type]
ERROR pandas/io/parsers/python_parser.py:535:25-36: Unexpected keyword argument `true_values` in function `pandas.core.arrays.base.ExtensionArray._from_sequence_of_strings` [unexpected-keyword]
ERROR pandas/io/parsers/python_parser.py:536:25-37: Unexpected keyword argument `false_values` in function `pandas.core.arrays.base.ExtensionArray._from_sequence_of_strings` [unexpected-keyword]
ERROR pandas/io/parsers/python_parser.py:537:25-36: Unexpected keyword argument `none_values` in function `pandas.core.arrays.base.ExtensionArray._from_sequence_of_strings` [unexpected-keyword]
ERROR pandas/io/parsers/python_parser.py:1319:62-70: Argument `list[list[str]]` is not assignable to parameter `new_rows` with type `list[list[Scalar]]` in function `PythonParser._remove_skipped_rows` [bad-argument-type]
ERROR pandas/io/parsers/python_parser.py:1329:49-57: Argument `list[Scalar]` is not assignable to parameter `object` with type `list[str]` in function `list.append` [bad-argument-type]
ERROR pandas/io/parsers/python_parser.py:1333:58-66: Argument `list[list[str]]` is not assignable to parameter `new_rows` with type `list[list[Scalar]]` in function `PythonParser._remove_skipped_rows` [bad-argument-type]
ERROR pandas/io/parsers/python_parser.py:1564:12-22: Returned type `int | integer` is not assignable to declared return type `int` [bad-return]
ERROR pandas/io/parsers/readers.py:317:5-13: Implementation signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, sep: _NoDefault | str | None = _NoDefault.no_default, delimiter: _NoDefault | str | None = None, header: Literal['infer'] | Sequence[int] | int | None = 'infer', names: Sequence[Hashable] | _NoDefault | None = _NoDefault.no_default, index_col: Literal[False] | Hashable | Sequence[Hashable] | None = None, usecols: UsecolsArgType = None, dtype: ExtensionDtype | Mapping[Hashable, ExtensionDtype | dtype | str | type[bool | complex | object | str]] | dtype | str | type[bool | complex | object | str] | None = None, engine: Literal['c', 'pyarrow', 'python', 'python-fwf'] | None = None, converters: Mapping[HashableT, (...) -> Unknown] | None = None, true_values: list[Unknown] | None = None, false_values: list[Unknown] | None = None, skipinitialspace: bool = False, skiprows: ((Hashable) -> bool) | int | list[int] | None = None, skipfooter: int = 0, nrows: int | None = None, na_values: Hashable | Iterable[Hashable] | Mapping[Hashable, Iterable[Hashable]] | None = None, keep_default_na: bool = True, na_filter: bool = True, skip_blank_lines: bool = True, parse_dates: Sequence[Hashable] | bool | None = None, date_format: dict[Hashable, str] | str | None = None, dayfirst: bool = False, cache_dates: bool = True, iterator: bool = False, chunksize: int | None = None, compression: CompressionOptions = 'infer', thousands: str | None = None, decimal: str = '.', lineterminator: str | None = None, quotechar: str = '"', quoting: int = 0, doublequote: bool = True, escapechar: str | None = None, comment: str | None = None, encoding: str | None = None, encoding_errors: str | None = 'strict', dialect: Dialect | str | type[Dialect] | None = None, on_bad_lines: str = 'error', low_memory: bool = True, memory_map: bool = False, float_precision: Literal['high', 'legacy', 'round_trip'] | None = None, storage_options: dict[str, Any] | None = None, dtype_backend: Literal['numpy_nullable', 'pyarrow'] | _NoDefault = _NoDefault.no_default) -> DataFrame | TextFileReader` does not accept all arguments that overload signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, iterator: Literal[True], chunksize: int | None = ..., **kwds: Unpack[_read_shared[HashableT]]) -> TextFileReader` accepts [inconsistent-overload]
ERROR pandas/io/parsers/readers.py:327:5-13: Implementation signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, sep: _NoDefault | str | None = _NoDefault.no_default, delimiter: _NoDefault | str | None = None, header: Literal['infer'] | Sequence[int] | int | None = 'infer', names: Sequence[Hashable] | _NoDefault | None = _NoDefault.no_default, index_col: Literal[False] | Hashable | Sequence[Hashable] | None = None, usecols: UsecolsArgType = None, dtype: ExtensionDtype | Mapping[Hashable, ExtensionDtype | dtype | str | type[bool | complex | object | str]] | dtype | str | type[bool | complex | object | str] | None = None, engine: Literal['c', 'pyarrow', 'python', 'python-fwf'] | None = None, converters: Mapping[HashableT, (...) -> Unknown] | None = None, true_values: list[Unknown] | None = None, false_values: list[Unknown] | None = None, skipinitialspace: bool = False, skiprows: ((Hashable) -> bool) | int | list[int] | None = None, skipfooter: int = 0, nrows: int | None = None, na_values: Hashable | Iterable[Hashable] | Mapping[Hashable, Iterable[Hashable]] | None = None, keep_default_na: bool = True, na_filter: bool = True, skip_blank_lines: bool = True, parse_dates: Sequence[Hashable] | bool | None = None, date_format: dict[Hashable, str] | str | None = None, dayfirst: bool = False, cache_dates: bool = True, iterator: bool = False, chunksize: int | None = None, compression: CompressionOptions = 'infer', thousands: str | None = None, decimal: str = '.', lineterminator: str | None = None, quotechar: str = '"', quoting: int = 0, doublequote: bool = True, escapechar: str | None = None, comment: str | None = None, encoding: str | None = None, encoding_errors: str | None = 'strict', dialect: Dialect | str | type[Dialect] | None = None, on_bad_lines: str = 'error', low_memory: bool = True, memory_map: bool = False, float_precision: Literal['high', 'legacy', 'round_trip'] | None = None, storage_options: dict[str, Any] | None = None, dtype_backend: Literal['numpy_nullable', 'pyarrow'] | _NoDefault = _NoDefault.no_default) -> DataFrame | TextFileReader` does not accept all arguments that overload signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, iterator: bool = ..., chunksize: int, **kwds: Unpack[_read_shared[HashableT]]) -> TextFileReader` accepts [inconsistent-overload]
ERROR pandas/io/parsers/readers.py:337:5-13: Implementation signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, sep: _NoDefault | str | None = _NoDefault.no_default, delimiter: _NoDefault | str | None = None, header: Literal['infer'] | Sequence[int] | int | None = 'infer', names: Sequence[Hashable] | _NoDefault | None = _NoDefault.no_default, index_col: Literal[False] | Hashable | Sequence[Hashable] | None = None, usecols: UsecolsArgType = None, dtype: ExtensionDtype | Mapping[Hashable, ExtensionDtype | dtype | str | type[bool | complex | object | str]] | dtype | str | type[bool | complex | object | str] | None = None, engine: Literal['c', 'pyarrow', 'python', 'python-fwf'] | None = None, converters: Mapping[HashableT, (...) -> Unknown] | None = None, true_values: list[Unknown] | None = None, false_values: list[Unknown] | None = None, skipinitialspace: bool = False, skiprows: ((Hashable) -> bool) | int | list[int] | None = None, skipfooter: int = 0, nrows: int | None = None, na_values: Hashable | Iterable[Hashable] | Mapping[Hashable, Iterable[Hashable]] | None = None, keep_default_na: bool = True, na_filter: bool = True, skip_blank_lines: bool = True, parse_dates: Sequence[Hashable] | bool | None = None, date_format: dict[Hashable, str] | str | None = None, dayfirst: bool = False, cache_dates: bool = True, iterator: bool = False, chunksize: int | None = None, compression: CompressionOptions = 'infer', thousands: str | None = None, decimal: str = '.', lineterminator: str | None = None, quotechar: str = '"', quoting: int = 0, doublequote: bool = True, escapechar: str | None = None, comment: str | None = None, encoding: str | None = None, encoding_errors: str | None = 'strict', dialect: Dialect | str | type[Dialect] | None = None, on_bad_lines: str = 'error', low_memory: bool = True, memory_map: bool = False, float_precision: Literal['high', 'legacy', 'round_trip'] | None = None, storage_options: dict[str, Any] | None = None, dtype_backend: Literal['numpy_nullable', 'pyarrow'] | _NoDefault = _NoDefault.no_default) -> DataFrame | TextFileReader` does not accept all arguments that overload signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, iterator: Literal[False] = ..., chunksize: None = ..., **kwds: Unpack[_read_shared[HashableT]]) -> DataFrame` accepts [inconsistent-overload]
ERROR pandas/io/parsers/readers.py:347:5-13: Implementation signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, sep: _NoDefault | str | None = _NoDefault.no_default, delimiter: _NoDefault | str | None = None, header: Literal['infer'] | Sequence[int] | int | None = 'infer', names: Sequence[Hashable] | _NoDefault | None = _NoDefault.no_default, index_col: Literal[False] | Hashable | Sequence[Hashable] | None = None, usecols: UsecolsArgType = None, dtype: ExtensionDtype | Mapping[Hashable, ExtensionDtype | dtype | str | type[bool | complex | object | str]] | dtype | str | type[bool | complex | object | str] | None = None, engine: Literal['c', 'pyarrow', 'python', 'python-fwf'] | None = None, converters: Mapping[HashableT, (...) -> Unknown] | None = None, true_values: list[Unknown] | None = None, false_values: list[Unknown] | None = None, skipinitialspace: bool = False, skiprows: ((Hashable) -> bool) | int | list[int] | None = None, skipfooter: int = 0, nrows: int | None = None, na_values: Hashable | Iterable[Hashable] | Mapping[Hashable, Iterable[Hashable]] | None = None, keep_default_na: bool = True, na_filter: bool = True, skip_blank_lines: bool = True, parse_dates: Sequence[Hashable] | bool | None = None, date_format: dict[Hashable, str] | str | None = None, dayfirst: bool = False, cache_dates: bool = True, iterator: bool = False, chunksize: int | None = None, compression: CompressionOptions = 'infer', thousands: str | None = None, decimal: str = '.', lineterminator: str | None = None, quotechar: str = '"', quoting: int = 0, doublequote: bool = True, escapechar: str | None = None, comment: str | None = None, encoding: str | None = None, encoding_errors: str | None = 'strict', dialect: Dialect | str | type[Dialect] | None = None, on_bad_lines: str = 'error', low_memory: bool = True, memory_map: bool = False, float_precision: Literal['high', 'legacy', 'round_trip'] | None = None, storage_options: dict[str, Any] | None = None, dtype_backend: Literal['numpy_nullable', 'pyarrow'] | _NoDefault = _NoDefault.no_default) -> DataFrame | TextFileReader` does not accept all arguments that overload signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, iterator: bool = ..., chunksize: int | None = ..., **kwds: Unpack[_read_shared[HashableT]]) -> DataFrame | TextFileReader` accepts [inconsistent-overload]
ERROR pandas/io/parsers/readers.py:904:5-15: Implementation signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, sep: _NoDefault | str | None = _NoDefault.no_default, delimiter: _NoDefault | str | None = None, header: Literal['infer'] | Sequence[int] | int | None = 'infer', names: Sequence[Hashable] | _NoDefault | None = _NoDefault.no_default, index_col: Literal[False] | Hashable | Sequence[Hashable] | None = None, usecols: UsecolsArgType = None, dtype: ExtensionDtype | Mapping[Hashable, ExtensionDtype | dtype | str | type[bool | complex | object | str]] | dtype | str | type[bool | complex | object | str] | None = None, engine: Literal['c', 'pyarrow', 'python', 'python-fwf'] | None = None, converters: Mapping[HashableT, (...) -> Unknown] | None = None, true_values: list[Unknown] | None = None, false_values: list[Unknown] | None = None, skipinitialspace: bool = False, skiprows: ((Hashable) -> bool) | int | list[int] | None = None, skipfooter: int = 0, nrows: int | None = None, na_values: Hashable | Iterable[Hashable] | Mapping[Hashable, Iterable[Hashable]] | None = None, keep_default_na: bool = True, na_filter: bool = True, skip_blank_lines: bool = True, parse_dates: Sequence[Hashable] | bool | None = None, date_format: dict[Hashable, str] | str | None = None, dayfirst: bool = False, cache_dates: bool = True, iterator: bool = False, chunksize: int | None = None, compression: CompressionOptions = 'infer', thousands: str | None = None, decimal: str = '.', lineterminator: str | None = None, quotechar: str = '"', quoting: int = 0, doublequote: bool = True, escapechar: str | None = None, comment: str | None = None, encoding: str | None = None, encoding_errors: str | None = 'strict', dialect: Dialect | str | type[Dialect] | None = None, on_bad_lines: str = 'error', low_memory: bool = True, memory_map: bool = False, float_precision: Literal['high', 'legacy', 'round_trip'] | None = None, storage_options: dict[str, Any] | None = None, dtype_backend: Literal['numpy_nullable', 'pyarrow'] | _NoDefault = _NoDefault.no_default) -> DataFrame | TextFileReader` does not accept all arguments that overload signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, iterator: Literal[True], chunksize: int | None = ..., **kwds: Unpack[_read_shared[HashableT]]) -> TextFileReader` accepts [inconsistent-overload]
ERROR pandas/io/parsers/readers.py:914:5-15: Implementation signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, sep: _NoDefault | str | None = _NoDefault.no_default, delimiter: _NoDefault | str | None = None, header: Literal['infer'] | Sequence[int] | int | None = 'infer', names: Sequence[Hashable] | _NoDefault | None = _NoDefault.no_default, index_col: Literal[False] | Hashable | Sequence[Hashable] | None = None, usecols: UsecolsArgType = None, dtype: ExtensionDtype | Mapping[Hashable, ExtensionDtype | dtype | str | type[bool | complex | object | str]] | dtype | str | type[bool | complex | object | str] | None = None, engine: Literal['c', 'pyarrow', 'python', 'python-fwf'] | None = None, converters: Mapping[HashableT, (...) -> Unknown] | None = None, true_values: list[Unknown] | None = None, false_values: list[Unknown] | None = None, skipinitialspace: bool = False, skiprows: ((Hashable) -> bool) | int | list[int] | None = None, skipfooter: int = 0, nrows: int | None = None, na_values: Hashable | Iterable[Hashable] | Mapping[Hashable, Iterable[Hashable]] | None = None, keep_default_na: bool = True, na_filter: bool = True, skip_blank_lines: bool = True, parse_dates: Sequence[Hashable] | bool | None = None, date_format: dict[Hashable, str] | str | None = None, dayfirst: bool = False, cache_dates: bool = True, iterator: bool = False, chunksize: int | None = None, compression: CompressionOptions = 'infer', thousands: str | None = None, decimal: str = '.', lineterminator: str | None = None, quotechar: str = '"', quoting: int = 0, doublequote: bool = True, escapechar: str | None = None, comment: str | None = None, encoding: str | None = None, encoding_errors: str | None = 'strict', dialect: Dialect | str | type[Dialect] | None = None, on_bad_lines: str = 'error', low_memory: bool = True, memory_map: bool = False, float_precision: Literal['high', 'legacy', 'round_trip'] | None = None, storage_options: dict[str, Any] | None = None, dtype_backend: Literal['numpy_nullable', 'pyarrow'] | _NoDefault = _NoDefault.no_default) -> DataFrame | TextFileReader` does not accept all arguments that overload signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, iterator: bool = ..., chunksize: int, **kwds: Unpack[_read_shared[HashableT]]) -> TextFileReader` accepts [inconsistent-overload]
ERROR pandas/io/parsers/readers.py:924:5-15: Implementation signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, sep: _NoDefault | str | None = _NoDefault.no_default, delimiter: _NoDefault | str | None = None, header: Literal['infer'] | Sequence[int] | int | None = 'infer', names: Sequence[Hashable] | _NoDefault | None = _NoDefault.no_default, index_col: Literal[False] | Hashable | Sequence[Hashable] | None = None, usecols: UsecolsArgType = None, dtype: ExtensionDtype | Mapping[Hashable, ExtensionDtype | dtype | str | type[bool | complex | object | str]] | dtype | str | type[bool | complex | object | str] | None = None, engine: Literal['c', 'pyarrow', 'python', 'python-fwf'] | None = None, converters: Mapping[HashableT, (...) -> Unknown] | None = None, true_values: list[Unknown] | None = None, false_values: list[Unknown] | None = None, skipinitialspace: bool = False, skiprows: ((Hashable) -> bool) | int | list[int] | None = None, skipfooter: int = 0, nrows: int | None = None, na_values: Hashable | Iterable[Hashable] | Mapping[Hashable, Iterable[Hashable]] | None = None, keep_default_na: bool = True, na_filter: bool = True, skip_blank_lines: bool = True, parse_dates: Sequence[Hashable] | bool | None = None, date_format: dict[Hashable, str] | str | None = None, dayfirst: bool = False, cache_dates: bool = True, iterator: bool = False, chunksize: int | None = None, compression: CompressionOptions = 'infer', thousands: str | None = None, decimal: str = '.', lineterminator: str | None = None, quotechar: str = '"', quoting: int = 0, doublequote: bool = True, escapechar: str | None = None, comment: str | None = None, encoding: str | None = None, encoding_errors: str | None = 'strict', dialect: Dialect | str | type[Dialect] | None = None, on_bad_lines: str = 'error', low_memory: bool = True, memory_map: bool = False, float_precision: Literal['high', 'legacy', 'round_trip'] | None = None, storage_options: dict[str, Any] | None = None, dtype_backend: Literal['numpy_nullable', 'pyarrow'] | _NoDefault = _NoDefault.no_default) -> DataFrame | TextFileReader` does not accept all arguments that overload signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, iterator: Literal[False] = ..., chunksize: None = ..., **kwds: Unpack[_read_shared[HashableT]]) -> DataFrame` accepts [inconsistent-overload]
ERROR pandas/io/parsers/readers.py:934:5-15: Implementation signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, sep: _NoDefault | str | None = _NoDefault.no_default, delimiter: _NoDefault | str | None = None, header: Literal['infer'] | Sequence[int] | int | None = 'infer', names: Sequence[Hashable] | _NoDefault | None = _NoDefault.no_default, index_col: Literal[False] | Hashable | Sequence[Hashable] | None = None, usecols: UsecolsArgType = None, dtype: ExtensionDtype | Mapping[Hashable, ExtensionDtype | dtype | str | type[bool | complex | object | str]] | dtype | str | type[bool | complex | object | str] | None = None, engine: Literal['c', 'pyarrow', 'python', 'python-fwf'] | None = None, converters: Mapping[HashableT, (...) -> Unknown] | None = None, true_values: list[Unknown] | None = None, false_values: list[Unknown] | None = None, skipinitialspace: bool = False, skiprows: ((Hashable) -> bool) | int | list[int] | None = None, skipfooter: int = 0, nrows: int | None = None, na_values: Hashable | Iterable[Hashable] | Mapping[Hashable, Iterable[Hashable]] | None = None, keep_default_na: bool = True, na_filter: bool = True, skip_blank_lines: bool = True, parse_dates: Sequence[Hashable] | bool | None = None, date_format: dict[Hashable, str] | str | None = None, dayfirst: bool = False, cache_dates: bool = True, iterator: bool = False, chunksize: int | None = None, compression: CompressionOptions = 'infer', thousands: str | None = None, decimal: str = '.', lineterminator: str | None = None, quotechar: str = '"', quoting: int = 0, doublequote: bool = True, escapechar: str | None = None, comment: str | None = None, encoding: str | None = None, encoding_errors: str | None = 'strict', dialect: Dialect | str | type[Dialect] | None = None, on_bad_lines: str = 'error', low_memory: bool = True, memory_map: bool = False, float_precision: Literal['high', 'legacy', 'round_trip'] | None = None, storage_options: dict[str, Any] | None = None, dtype_backend: Literal['numpy_nullable', 'pyarrow'] | _NoDefault = _NoDefault.no_default) -> DataFrame | TextFileReader` does not accept all arguments that overload signature `(filepath_or_buffer: PathLike[str] | ReadCsvBuffer[bytes] | ReadCsvBuffer[str] | str, *, iterator: bool = ..., chunksize: int | None = ..., **kwds: Unpack[_read_shared[HashableT]]) -> DataFrame | TextFileReader` accepts [inconsistent-overload]
ERROR pandas/io/pytables.py:524:8-47: `<=` is not supported between `None` and `None` [unsupported-operation]
ERROR pandas/io/pytables.py:528:11-31: `>` is not supported between `None` and `Literal[1]` [unsupported-operation]
ERROR pandas/io/pytables.py:687:30-38: `None` is not subscriptable [unsupported-operation]
ERROR pandas/io/pytables.py:754:20-756:14: Returned type `list[Unknown | None]` is not assignable to declared return type `list[str]` [bad-return]
ERROR pandas/io/pytables.py:1371:13-14: `s` may be uninitialized [unbound-name]
ERROR pandas/io/pytables.py:1375:16-17: `s` may be uninitialized [unbound-name]
ERROR pandas/io/pytables.py:1783:20-40: Object of class `NoneType` has no attribute `rstrip` [missing-attribute]
ERROR pandas/io/pytables.py:2068:64-72: Argument `Unknown | None` is not assignable to parameter `encoding` with type `str` in function `HDFStore._create_storer` [bad-argument-type]
ERROR pandas/io/pytables.py:2144:16-21: `group` may be uninitialized [unbound-name]
ERROR pandas/io/pytables.py:2219:15-34: `<` is not supported between `int` and `None` [unsupported-operation]
ERROR pandas/io/pytables.py:2219:15-34: `<` is not supported between `None` and `None` [unsupported-operation]
ERROR pandas/io/pytables.py:2220:23-60: `Unknown | None` is not assignable to upper bound `SupportsDunderGT[Any] | SupportsDunderLT[Any]` of type variable `SupportsRichComparisonT` [bad-specialization]
ERROR pandas/io/pytables.py:2220:24-48: `+` is not supported between `int` and `None` [unsupported-operation]
ERROR pandas/io/pytables.py:2220:24-48: `+` is not supported between `None` and `int` [unsupported-operation]
ERROR pandas/io/pytables.py:2220:24-48: `+` is not supported between `None` and `None` [unsupported-operation]
ERROR pandas/io/pytables.py:2335:16-33: Object of class `NoneType` has no attribute `itemsize` [missing-attribute]
ERROR pandas/io/pytables.py:2393:41-49: Argument `Unknown | None` is not assignable to parameter `val_kind` with type `str` in function `_maybe_convert` [bad-argument-type]
ERROR pandas/io/pytables.py:2405:14-33: Object of class `NoneType` has no attribute `startswith` [missing-attribute]
ERROR pandas/io/pytables.py:2426:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `freq` with type `BaseOffset | _NoDefault | str` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2426:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `ambiguous` with type `Literal['NaT', 'infer', 'raise'] | builtins.bool | ndarray[tuple[Any, ...], dtype[numpy.bool]]` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2426:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `dayfirst` with type `bool` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2426:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `yearfirst` with type `bool` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2426:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `tupleize_cols` with type `bool` in function `pandas.core.indexes.base.Index.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2437:21-29: Unpacked keyword argument `Unknown | None` is not assignable to parameter `freq` with type `BaseOffset | _NoDefault | str` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2437:21-29: Unpacked keyword argument `Unknown | None` is not assignable to parameter `ambiguous` with type `Literal['NaT', 'infer', 'raise'] | builtins.bool | ndarray[tuple[Any, ...], dtype[numpy.bool]]` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2437:21-29: Unpacked keyword argument `Unknown | None` is not assignable to parameter `dayfirst` with type `bool` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2437:21-29: Unpacked keyword argument `Unknown | None` is not assignable to parameter `yearfirst` with type `bool` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2437:21-29: Unpacked keyword argument `Unknown | None` is not assignable to parameter `tupleize_cols` with type `bool` in function `pandas.core.indexes.base.Index.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2446:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `freq` with type `BaseOffset | _NoDefault | str` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2446:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `ambiguous` with type `Literal['NaT', 'infer', 'raise'] | builtins.bool | ndarray[tuple[Any, ...], dtype[numpy.bool]]` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2446:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `dayfirst` with type `bool` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2446:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `yearfirst` with type `bool` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2446:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `tupleize_cols` with type `bool` in function `pandas.core.indexes.base.Index.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:2461:16-35: Object of class `NoneType` has no attribute `_v_attrs` [missing-attribute]
ERROR pandas/io/pytables.py:2465:16-38: Object of class `NoneType` has no attribute `description` [missing-attribute]
ERROR pandas/io/pytables.py:2478:20-33: No matching overload found for function `iter` called with arguments: (Unknown | None) [no-matching-overload]
ERROR pandas/io/pytables.py:2490:45-62: Object of class `NoneType` has no attribute `itemsize` [missing-attribute]
ERROR pandas/io/pytables.py:2804:72-83: Argument `Unknown | None` is not assignable to parameter `iterable` with type `Iterable[Unknown]` in function `list.__init__` [bad-argument-type]
ERROR pandas/io/pytables.py:2859:12-28: Class `bool` has no class attribute `startswith`
Class `complex` has no class attribute `startswith`
Class `object` has no class attribute `startswith`
Object of class `ExtensionDtype` has no attribute `startswith`
Object of class `Mapping` has no attribute `startswith`
Object of class `dtype` has no attribute `startswith` [missing-attribute]
ERROR pandas/io/pytables.py:2863:48-53: Argument `ExtensionDtype | Mapping[Hashable, ExtensionDtype | dtype | str | type[bool | complex | object | str]] | dtype | str | type[bool | complex | object | str] | Unknown` is not assignable to parameter `datetime64_dtype` with type `str` in function `_set_tz` [bad-argument-type]
ERROR pandas/io/pytables.py:2865:14-30: Class `bool` has no class attribute `startswith`
Class `complex` has no class attribute `startswith`
Class `object` has no class attribute `startswith`
Object of class `ExtensionDtype` has no attribute `startswith`
Object of class `Mapping` has no attribute `startswith`
Object of class `dtype` has no attribute `startswith` [missing-attribute]
ERROR pandas/io/pytables.py:2870:39-63: No matching overload found for function `numpy._core.multiarray.asarray` called with arguments: (ndarray | ndarray[Unknown, Unknown], dtype=ExtensionDtype | Mapping[Hashable, ExtensionDtype | dtype | str | type[bool | complex | object | str]] | dtype | str | type[bool | complex | object | str] | Unknown) [no-matching-overload]
ERROR pandas/io/pytables.py:2871:14-30: Class `bool` has no class attribute `startswith`
Class `complex` has no class attribute `startswith`
Class `object` has no class attribute `startswith`
Object of class `ExtensionDtype` has no attribute `startswith`
Object of class `Mapping` has no attribute `startswith`
Object of class `dtype` has no attribute `startswith` [missing-attribute]
ERROR pandas/io/pytables.py:2874:56-61: Argument `ExtensionDtype | Mapping[Hashable, ExtensionDtype | dtype | str | type[bool | complex | object | str]] | dtype | str | type[bool | complex | object | str] | Unknown` is not assignable to parameter `string` with type `str` in function `pandas.core.dtypes.dtypes.PeriodDtype.construct_from_string` [bad-argument-type]
ERROR pandas/io/pytables.py:2914:45-64: No matching overload found for function `numpy.ndarray.astype` called with arguments: (ExtensionDtype | Mapping[Hashable, ExtensionDtype | dtype | str | type[bool | complex | object | str]] | dtype | str | type[bool | complex | object | str] | Unknown, copy=Literal[False]) [no-matching-overload]
ERROR pandas/io/pytables.py:2914:45-64: No matching overload found for function `numpy.ndarray.astype` called with arguments: (ExtensionDtype | Mapping[Hashable, ExtensionDtype | dtype | str | type[bool | complex | object | str]] | dtype | str | type[bool | complex | object | str] | Unknown, copy=Literal[False]) [no-matching-overload]
ERROR pandas/io/pytables.py:2923:17-26: Argument `Categorical | DatetimeArray | PeriodArray | ndarray | ndarray[Unknown] | Unknown` is not assignable to parameter `data` with type `ndarray` in function `_unconvert_string_array` [bad-argument-type]
ERROR pandas/io/pytables.py:3259:20-25: Object of class `list` has no attribute `T` [missing-attribute]
ERROR pandas/io/pytables.py:3285:35-51: Argument `Unknown | None` is not assignable to parameter `obj` with type `ExtensionArray | Index | Series | ndarray` in function `GenericFixed.write_array` [bad-argument-type]
ERROR pandas/io/pytables.py:3315:41-58: Argument `Unknown | None` is not assignable to parameter `obj` with type `ExtensionArray | Index | Series | ndarray` in function `GenericFixed.write_array` [bad-argument-type]
ERROR pandas/io/pytables.py:3353:16-32: Cannot index into `Node` [bad-index]
ERROR pandas/io/pytables.py:3465:49-54: Argument `ExtensionArray | Index | Series | ndarray` is not assignable to parameter `value` with type `ExtensionArray | ndarray` in function `GenericFixed.write_array_empty` [bad-argument-type]
ERROR pandas/io/pytables.py:3526:45-50: Argument `ExtensionArray | Index | Series | ndarray` is not assignable to parameter `value` with type `ExtensionArray | ndarray` in function `GenericFixed.write_array_empty` [bad-argument-type]
ERROR pandas/io/pytables.py:3891:24-32: Argument `Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/io/pytables.py:3903:22-28: Argument `Unknown | None` is not assignable to parameter `x` with type `Buffer | SupportsIndex | SupportsInt | SupportsTrunc | str` in function `int.__new__` [bad-argument-type]
ERROR pandas/io/pytables.py:4361:13-26: Cannot index into `list[Index]` [bad-index]
ERROR pandas/io/pytables.py:4362:40-43: Argument `int | Unknown | None` is not assignable to parameter `axis` with type `Literal['columns', 'index', 'rows'] | int` in function `pandas.core.generic.NDFrame._get_axis_name` [bad-argument-type]
ERROR pandas/io/pytables.py:4618:23-37: `process_filter` may be uninitialized [unbound-name]
ERROR pandas/io/pytables.py:4637:28-63: `dict[str, Unknown | None]` is not assignable to dict key `description` with type `int | str` [bad-assignment]
ERROR pandas/io/pytables.py:4827:24-40: Object of class `bool` has no attribute `all` [missing-attribute]
ERROR pandas/io/pytables.py:5171:5-11: Class member `GenericTable.levels` overrides parent class `AppendableFrameTable` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/io/pytables.py:5457:19-35: Object of class `ndarray` has no attribute `to_numpy` [missing-attribute]
ERROR pandas/io/pytables.py:5734:39-46: No matching overload found for function `Selection.generate` called with arguments: (ndarray | Unknown | None) [no-matching-overload]
ERROR pandas/io/sas/sas_xport.py:491:32-33: `v` may be uninitialized [unbound-name]
ERROR pandas/io/sas/sasreader.py:60:5-13: Default `None` from implementation is not assignable to overload parameter `chunksize` with type `int` [inconsistent-overload-default]
ERROR pandas/io/sql.py:510:5-13: Default `None` from implementation is not assignable to overload parameter `columns` with type `list[str]` [inconsistent-overload-default]
ERROR pandas/io/sql.py:1037:20-35: Object of class `NoneType` has no attribute `copy` [missing-attribute]
ERROR pandas/io/sql.py:1046:38-50: Object of class `NoneType` has no attribute `columns` [missing-attribute]
ERROR pandas/io/sql.py:1052:38-48: Object of class `NoneType` has no attribute `items` [missing-attribute]
ERROR pandas/io/sql.py:1101:21-31: Argument `Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/io/sql.py:1218:23-39: Object of class `NoneType` has no attribute `index` [missing-attribute]
ERROR pandas/io/sql.py:1232:36-54: Object of class `NoneType` has no attribute `columns` [missing-attribute]
ERROR pandas/io/sql.py:1233:21-37: Object of class `NoneType` has no attribute `index` [missing-attribute]
ERROR pandas/io/sql.py:1237:47-63: Object of class `NoneType` has no attribute `index` [missing-attribute]
ERROR pandas/io/sql.py:1251:41-57: Object of class `NoneType` has no attribute `index` [missing-attribute]
ERROR pandas/io/sql.py:1255:18-36: Object of class `NoneType` has no attribute `columns` [missing-attribute]
ERROR pandas/io/sql.py:1255:55-70: Object of class `NoneType` has no attribute `iloc` [missing-attribute]
ERROR pandas/io/sql.py:1256:32-50: Object of class `NoneType` has no attribute `columns` [missing-attribute]
ERROR pandas/io/sql.py:1916:33-44: Class `bool` has no class attribute `items`
Class `complex` has no class attribute `items`
Class `object` has no class attribute `items`
Class `str` has no class attribute `items`
Object of class `ExtensionDtype` has no attribute `items`
Object of class `NoneType` has no attribute `items`
Object of class `dtype` has no attribute `items`
Object of class `str` has no attribute `items` [missing-attribute]
ERROR pandas/io/sql.py:2550:31-49: Object of class `NoneType` has no attribute `columns` [missing-attribute]
ERROR pandas/io/sql.py:2868:33-44: Class `bool` has no class attribute `items`
Class `complex` has no class attribute `items`
Class `object` has no class attribute `items`
Class `str` has no class attribute `items`
Object of class `ExtensionDtype` has no attribute `items`
Object of class `NoneType` has no attribute `items`
Object of class `dtype` has no attribute `items`
Object of class `str` has no attribute `items` [missing-attribute]
ERROR pandas/io/stata.py:3862:5-14: Class member `StataWriterUTF8._encoding` overrides parent class `StataWriter117` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/plotting/_core.py:2441:20-26: `module` may be uninitialized [unbound-name]
ERROR pandas/plotting/_matplotlib/boxplot.py:338:14-19: `None` is not subscriptable [unsupported-operation]
ERROR pandas/plotting/_matplotlib/boxplot.py:338:27-29: Argument `list[Unknown | None] | list[Unknown] | tuple[Unknown, ...] | Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
ERROR pandas/plotting/_matplotlib/converter.py:82:12-17: Returned type `list[tuple[type[Period], type[PeriodConverter]] | tuple[type[Timestamp], type[DatetimeConverter]] | tuple[type[date], type[DatetimeConverter]] | tuple[type[datetime], type[DatetimeConverter]] | tuple[type[datetime64], type[DatetimeConverter]] | tuple[type[time], type[TimeConverter]]]` is not assignable to declared return type `list[tuple[type[Any], type[DateConverter]]]` [bad-return]
ERROR pandas/plotting/_matplotlib/converter.py:153:29-40: Object of class `NaTType` has no attribute `time` [missing-attribute]
ERROR pandas/plotting/_matplotlib/converter.py:174:9-16: Class member `TimeConverter.convert` overrides parent class `ConversionInterface` in an inconsistent manner [bad-override-param-name]
ERROR pandas/plotting/_matplotlib/converter.py:244:9-16: Class member `PeriodConverter.convert` overrides parent class `DateConverter` in an inconsistent manner [bad-override-param-name]
ERROR pandas/plotting/_matplotlib/converter.py:309:16-42: Object of class `NaTType` has no attribute `ordinal` [missing-attribute]
ERROR pandas/plotting/_matplotlib/converter.py:320:9-16: Class member `DatetimeConverter.convert` overrides parent class `DateConverter` in an inconsistent manner [bad-override-param-name]
ERROR pandas/plotting/_matplotlib/converter.py:1006:5-9: Class member `TimeSeries_DateLocator.axis` overrides parent class `Locator` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/plotting/_matplotlib/converter.py:1072:5-9: Class member `TimeSeries_DateFormatter.axis` overrides parent class `Formatter` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/plotting/_matplotlib/converter.py:1138:5-9: Class member `TimeSeries_TimedeltaFormatter.axis` overrides parent class `Formatter` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/plotting/_matplotlib/core.py:702:33-41: Argument `type[bool]` is not assignable to parameter `object` with type `type[number] | str` in function `list.append` [bad-argument-type]
ERROR pandas/plotting/_matplotlib/core.py:713:33-65: Argument `list[str]` is not assignable to parameter `iterable` with type `Iterable[type[number]]` in function `list.extend` [bad-argument-type]
ERROR pandas/plotting/_matplotlib/core.py:1206:26-1209:14: No matching overload found for function `numpy.lib._shape_base_impl.tile` called with arguments: (list[Number | number], tuple[int, int]) [no-matching-overload]
ERROR pandas/plotting/_matplotlib/core.py:1614:17-18: Argument `Series | ndarray` is not assignable to parameter `y` with type `ndarray` in function `LinePlot._plot` [bad-argument-type]
ERROR pandas/plotting/_matplotlib/core.py:1614:17-18: Argument `Series | ndarray` is not assignable to parameter `data` with type `Series` in function `LinePlot._ts_plot` [bad-argument-type]
ERROR pandas/plotting/_matplotlib/core.py:1958:14-22: Class member `BarPlot.subplots` overrides parent class `MPLPlot` in an inconsistent manner [bad-override-mutable-attribute]
ERROR pandas/plotting/_matplotlib/misc.py:186:26-27: Cannot index into `dict[str, MatplotlibColor]` [bad-index]
ERROR pandas/plotting/_matplotlib/misc.py:400:30-44: `Sequence[float] | str` is not assignable to upper bound `SupportsDunderGT[Any] | SupportsDunderLT[Any]` of type variable `SupportsRichComparisonT` [bad-specialization]
ERROR pandas/plotting/_matplotlib/misc.py:415:27-42: Unpacked keyword argument `int | str` is not assignable to parameter `ymin` with type `float` in function `matplotlib.axes._axes.Axes.axvline` [bad-argument-type]
ERROR pandas/plotting/_matplotlib/misc.py:415:27-42: Unpacked keyword argument `int | str` is not assignable to parameter `ymax` with type `float` in function `matplotlib.axes._axes.Axes.axvline` [bad-argument-type]
ERROR pandas/plotting/_matplotlib/style.py:181:12-68: Returned type `list[ndarray | tuple[float, float, float, float]]` is not assignable to declared return type `list[MatplotlibColor]` [bad-return]
ERROR pandas/plotting/_matplotlib/tools.py:85:19-28: Argument `Index | Unknown` is not assignable to parameter `rowLabels` with type `Sequence[str] | None` in function `matplotlib.table.table` [bad-argument-type]
ERROR pandas/plotting/_matplotlib/tools.py:86:19-28: Argument `Index | Unknown` is not assignable to parameter `colLabels` with type `Sequence[str] | None` in function `matplotlib.table.table` [bad-argument-type]
ERROR pandas/tseries/frequencies.py:336:16-65: Returned type `NaTType | Timestamp` is not assignable to declared return type `Timestamp` [bad-return]
ERROR pandas/tseries/holiday.py:262:13-76: `NaTType | Timestamp | None` is not assignable to attribute `start_date` with type `Timestamp | None` [bad-assignment]
ERROR pandas/tseries/holiday.py:264:25-82: `NaTType | Timestamp | None` is not assignable to attribute `end_date` with type `Timestamp | None` [bad-assignment]
ERROR pandas/tseries/holiday.py:325:48-58: Argument `Unknown | None` is not assignable to parameter `month` with type `SupportsIndex` in function `datetime.datetime.__new__` [bad-argument-type]
ERROR pandas/tseries/holiday.py:325:60-68: Argument `Unknown | None` is not assignable to parameter `day` with type `SupportsIndex` in function `datetime.datetime.__new__` [bad-argument-type]
ERROR pandas/tseries/holiday.py:332:39-49: Argument `NaTType | Timestamp` is not assignable to parameter `start_date` with type `Timestamp` in function `Holiday._reference_dates` [bad-argument-type]
ERROR pandas/tseries/holiday.py:332:51-59: Argument `NaTType | Timestamp` is not assignable to parameter `end_date` with type `Timestamp` in function `Holiday._reference_dates` [bad-argument-type]
ERROR pandas/tseries/holiday.py:379:43-53: Argument `Unknown | None` is not assignable to parameter `month` with type `SupportsIndex` in function `datetime.datetime.__new__` [bad-argument-type]
ERROR pandas/tseries/holiday.py:379:55-63: Argument `Unknown | None` is not assignable to parameter `day` with type `SupportsIndex` in function `datetime.datetime.__new__` [bad-argument-type]
ERROR pandas/tseries/holiday.py:383:41-51: Argument `Unknown | None` is not assignable to parameter `month` with type `SupportsIndex` in function `datetime.datetime.__new__` [bad-argument-type]
ERROR pandas/tseries/holiday.py:383:53-61: Argument `Unknown | None` is not assignable to parameter `day` with type `SupportsIndex` in function `datetime.datetime.__new__` [bad-argument-type]
ERROR pandas/tseries/holiday.py:524:27-32: Argument `NaTType | Timestamp | Unknown` is not assignable to parameter `ts_input` with type `date | datetime | datetime64 | float | integer | str` in function `pandas._libs.tslibs.timestamps.Timestamp.__new__` [bad-argument-type]
ERROR pandas/tseries/holiday.py:525:25-28: Argument `NaTType | Timestamp | Unknown` is not assignable to parameter `ts_input` with type `date | datetime | datetime64 | float | integer | str` in function `pandas._libs.tslibs.timestamps.Timestamp.__new__` [bad-argument-type]
ERROR pandas/tseries/holiday.py:538:27-62: `tuple[NaTType | Timestamp, NaTType | Timestamp, Series]` is not assignable to attribute `_cache` with type `tuple[Timestamp, Timestamp, Series] | None` [bad-assignment]
ERROR pandas/tseries/holiday.py:540:20-34: `None` is not subscriptable [unsupported-operation]
ERROR pandas/util/_validators.py:463:12-15: Returned type `int | integer | Any` is not assignable to declared return type `int` [bad-return]
ERROR typings/numba.pyi:24:21-35: No attribute `compiler` in module `numba` [missing-attribute]
 INFO Checking project configured at `<CWD>/pyrefly.toml`
 INFO 1,439 errors (861 suppressed, 146 warnings not shown)
