mirror of https://github.com/astral-sh/ruff
1616 lines
263 KiB
Plaintext
1616 lines
263 KiB
Plaintext
ERROR pandas/_config/localization.py:172:31-42: `out_locales` may be uninitialized [unbound-name]
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ERROR pandas/_config/localization.py:175:39-50: `out_locales` may be uninitialized [unbound-name]
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ERROR pandas/_libs/sparse.pyi:43:9-18: Class member `BlockIndex.intersect` overrides parent class `SparseIndex` in an inconsistent manner [bad-param-name-override]
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ERROR pandas/_libs/sparse.pyi:44:9-19: Class member `BlockIndex.make_union` overrides parent class `SparseIndex` in an inconsistent manner [bad-param-name-override]
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ERROR pandas/_testing/__init__.py:167:8-21: No matching overload found for function `numpy.datetime64.__new__` called with arguments: (type[datetime64[_DT64ItemT_co]], Literal['NaT'], str) [no-matching-overload]
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ERROR pandas/_testing/__init__.py:167:8-21: No matching overload found for function `numpy.timedelta64.__new__` called with arguments: (type[timedelta64[_TD64ItemT_co]], Literal['NaT'], str) [no-matching-overload]
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ERROR pandas/_testing/__init__.py:507:25-39: Module `pandas.core.arrays` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
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ERROR pandas/_testing/__init__.py:509:25-39: Module `pandas.core.arrays` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
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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]
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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]
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ERROR pandas/_testing/_hypothesis.py:72:9-88:6: No matching overload found for function `map.__new__` called with arguments: (type[map[_S]], [T](thing: type[T]) -> SearchStrategy[T], list[type[BQuarterBegin] | type[BQuarterEnd] | type[BYearBegin] | type[BYearEnd] | type[BusinessMonthBegin] | type[BusinessMonthEnd] | type[MonthBegin] | type[MonthEnd] | type[QuarterBegin] | type[QuarterEnd] | type[YearBegin] | type[YearEnd]]) [no-matching-overload]
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ERROR pandas/_testing/asserters.py:344:31-39: `mismatch` may be uninitialized [unbound-name]
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ERROR pandas/_testing/asserters.py:345:51-59: `mismatch` may be uninitialized [unbound-name]
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ERROR pandas/_testing/asserters.py:347:27-35: `mismatch` may be uninitialized [unbound-name]
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ERROR pandas/_version.py:44:5-12: Object of class `VersioneerConfig` has no attribute `VCS` [missing-attribute]
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ERROR pandas/_version.py:45:5-14: Object of class `VersioneerConfig` has no attribute `style` [missing-attribute]
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ERROR pandas/_version.py:46:5-19: Object of class `VersioneerConfig` has no attribute `tag_prefix` [missing-attribute]
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ERROR pandas/_version.py:47:5-25: Object of class `VersioneerConfig` has no attribute `parentdir_prefix` [missing-attribute]
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ERROR pandas/_version.py:48:5-27: Object of class `VersioneerConfig` has no attribute `versionfile_source` [missing-attribute]
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ERROR pandas/_version.py:49:5-16: Object of class `VersioneerConfig` has no attribute `verbose` [missing-attribute]
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ERROR pandas/_version.py:101:16-23: Object of class `BaseException` has no attribute `errno`
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Object of class `NoneType` has no attribute `errno` [missing-attribute]
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ERROR pandas/_version.py:111:14-53: Object of class `str` has no attribute `decode` [missing-attribute]
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ERROR pandas/compat/numpy/function.py:187:5-28: Implementation signature `(axis: ndarray[tuple[Any, ...], dtype[Any]] | AxisNoneT, args: Unknown, kwargs: Unknown) -> AxisNoneT | None` does not accept all arguments that overload signature `(axis: AxisNoneT, args: Unknown, kwargs: Unknown) -> AxisNoneT` accepts [inconsistent-overload]
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ERROR pandas/compat/numpy/function.py:187:5-28: Overload return type `Literal['columns', 'index', 'rows'] | int | None` is not assignable to implementation return type `Literal['columns'] | None` [inconsistent-overload]
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ERROR pandas/compat/pickle_compat.py:109:36-39: Expected 1 positional argument, got 3 in function `object.__new__` [bad-argument-count]
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ERROR pandas/compat/pickle_compat.py:112:36-39: Expected 1 positional argument, got 3 in function `object.__new__` [bad-argument-count]
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ERROR pandas/compat/pickle_compat.py:114:36-38: Expected 1 positional argument, got 4 in function `object.__new__` [bad-argument-count]
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ERROR pandas/compat/pyarrow.py:11:29-43: Argument `str | Unknown | None` is not assignable to parameter `version` with type `str` in function `pandas.util.version.Version.__init__` [bad-argument-type]
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ERROR pandas/conftest.py:765:29-40: Cannot index into `int` [bad-index]
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ERROR pandas/conftest.py:766:30-42: Cannot index into `int` [bad-index]
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ERROR pandas/conftest.py:767:39-43: 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]
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ERROR pandas/conftest.py:1479:12-1481:6: Returned type `NaTType | Timestamp` is not assignable to declared return type `Timestamp` [bad-return]
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ERROR pandas/core/_numba/executor.py:48:22-54: Type `prange` is not iterable [not-iterable]
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ERROR pandas/core/_numba/executor.py:52:22-54: Type `prange` is not iterable [not-iterable]
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ERROR pandas/core/_numba/executor.py:78:22-51: Type `prange` is not iterable [not-iterable]
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ERROR pandas/core/_numba/executor.py:103:22-51: Type `prange` is not iterable [not-iterable]
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ERROR pandas/core/_numba/extensions.py:22:5-16: Could not import `NativeValue` from `numba.core.extending` [missing-module-attribute]
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ERROR pandas/core/_numba/extensions.py:23:5-8: Could not import `box` from `numba.core.extending` [missing-module-attribute]
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ERROR pandas/core/_numba/extensions.py:24:5-18: Could not import `lower_builtin` from `numba.core.extending` [missing-module-attribute]
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ERROR pandas/core/_numba/extensions.py:29:5-19: Could not import `register_model` from `numba.core.extending` [missing-module-attribute]
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ERROR pandas/core/_numba/extensions.py:31:5-16: Could not import `typeof_impl` from `numba.core.extending` [missing-module-attribute]
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ERROR pandas/core/_numba/extensions.py:32:5-10: Could not import `unbox` from `numba.core.extending` [missing-module-attribute]
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ERROR pandas/core/_numba/extensions.py:61:9-26: Object of class `Index` has no attribute `_numba_data` [missing-attribute]
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ERROR pandas/core/_numba/extensions.py:64:13-30: Object of class `Index` has no attribute `_numba_data` [missing-attribute]
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ERROR pandas/core/_numba/extensions.py:74:48-51: Expected a type form, got instance of `(iterable: Iterable[object], /) -> bool` [not-a-type]
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ERROR pandas/core/_numba/extensions.py:259:29-33: Could not import `Dict` from `numba.typed` [missing-module-attribute]
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ERROR pandas/core/_numba/extensions.py:574:28-36: Missing argument `obj` in function `pandas._libs.indexing.NDFrameIndexerBase.__init__` [missing-argument]
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ERROR pandas/core/_numba/kernels/mean_.py:135:21-47: `num_consecutive_same_value` is uninitialized [unbound-name]
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ERROR pandas/core/_numba/kernels/mean_.py:136:21-31: `prev_value` is uninitialized [unbound-name]
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ERROR pandas/core/_numba/kernels/mean_.py:141:16-42: `num_consecutive_same_value` may be uninitialized [unbound-name]
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ERROR pandas/core/_numba/kernels/mean_.py:142:26-36: `prev_value` may be uninitialized [unbound-name]
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ERROR pandas/core/_numba/kernels/sum_.py:135:21-47: `num_consecutive_same_value` is uninitialized [unbound-name]
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ERROR pandas/core/_numba/kernels/sum_.py:136:21-31: `prev_value` is uninitialized [unbound-name]
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ERROR pandas/core/_numba/kernels/sum_.py:142:16-42: `num_consecutive_same_value` may be uninitialized [unbound-name]
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ERROR pandas/core/_numba/kernels/sum_.py:143:26-36: `prev_value` may be uninitialized [unbound-name]
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ERROR pandas/core/_numba/kernels/var_.py:144:21-47: `num_consecutive_same_value` is uninitialized [unbound-name]
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ERROR pandas/core/_numba/kernels/var_.py:145:21-31: `prev_value` is uninitialized [unbound-name]
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ERROR pandas/core/_numba/kernels/var_.py:149:29-55: `num_consecutive_same_value` may be uninitialized [unbound-name]
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ERROR pandas/core/algorithms.py:257:12-18: Returned type `ExtensionArray | Index | NumpyExtensionArray | Series | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to declared return type `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` [bad-return]
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ERROR pandas/core/algorithms.py:469:16-29: Object of class `ndarray` has no attribute `unique` [missing-attribute]
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ERROR pandas/core/algorithms.py:476:45-51: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `_get_hashtable_algo` [bad-argument-type]
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ERROR pandas/core/algorithms.py:546:33-39: Argument `ExtensionArray | Index | SequenceNotStr[Unknown] | Series | ndarray[tuple[Any, ...], dtype[Any]] | range` is not assignable to parameter `values` with type `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas.core.arrays.base.ExtensionArray.isin` [bad-argument-type]
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ERROR pandas/core/algorithms.py:550:43-49: Argument `ExtensionArray | Index | SequenceNotStr[Unknown] | Series | ndarray[tuple[Any, ...], dtype[Any]] | range` is not assignable to parameter `values` with type `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas.core.arrays.base.ExtensionArray.isin` [bad-argument-type]
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ERROR pandas/core/algorithms.py:551:30-42: Object of class `SequenceNotStr` has no attribute `dtype`
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Object of class `range` has no attribute `dtype` [missing-attribute]
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ERROR pandas/core/algorithms.py:555:30-42: Object of class `SequenceNotStr` has no attribute `dtype`
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Object of class `range` has no attribute `dtype` [missing-attribute]
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ERROR pandas/core/algorithms.py:556:34-47: Object of class `SequenceNotStr` has no attribute `astype`
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Object of class `range` has no attribute `astype` [missing-attribute]
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ERROR pandas/core/algorithms.py:577:12-28: Object of class `bool` has no attribute `any` [missing-attribute]
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ERROR pandas/core/algorithms.py:586:38-50: Argument `dtype[Any] | object` is not assignable to parameter `*dtypes` with type `dtype[Any]` in function `pandas.core.dtypes.cast.np_find_common_type` [bad-argument-type]
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ERROR pandas/core/algorithms.py:587:18-31: Object of class `SequenceNotStr` has no attribute `astype`
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Object of class `range` has no attribute `astype` [missing-attribute]
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ERROR pandas/core/algorithms.py:591:27-33: Argument `ExtensionArray | Index | SequenceNotStr[Unknown] | Series | ndarray[tuple[Any, ...], dtype[Any]] | range | Unknown` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas._libs.hashtable.ismember` [bad-argument-type]
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ERROR pandas/core/algorithms.py:855:32-67: `ExtensionArray | Index | Series | ndarray[tuple[Any, ...], dtype[Any]] | Unknown` is not assignable to upper bound `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` of type variable `ArrayLikeT` [bad-specialization]
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ERROR pandas/core/algorithms.py:857:12-26: Returned type `tuple[ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]] | ndarray[tuple[Any, ...], dtype[Any]] | Unknown, ExtensionArray | Index | Series | ndarray[tuple[Any, ...], dtype[Any]] | Unknown]` is not assignable to declared return type `tuple[ndarray[tuple[Any, ...], dtype[Any]], Index | ndarray[tuple[Any, ...], dtype[Any]]]` [bad-return]
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ERROR pandas/core/algorithms.py:930:54-60: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `value_counts_arraylike` [bad-argument-type]
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ERROR pandas/core/algorithms.py:951:36-57: No matching overload found for function `pandas.core.frame.DataFrame.sort_values` called with arguments: (ascending=bool) [no-matching-overload]
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ERROR pandas/core/algorithms.py:954:27-37: Object of class `DatetimeArray` has no attribute `sum`
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Object of class `PeriodArray` has no attribute `sum` [missing-attribute]
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ERROR pandas/core/algorithms.py:956:12-18: Returned type `DataFrame | Series | Unknown` is not assignable to declared return type `Series` [bad-return]
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ERROR pandas/core/algorithms.py:1235:25-1241:10: No matching overload found for function `pandas.core.array_algos.take.take_nd` called with arguments: (ExtensionArray | Index | NumpyExtensionArray | Series | ndarray[tuple[Any, ...], dtype[Any]], ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]], axis=int, allow_fill=Literal[True], fill_value=Unknown | None) [no-matching-overload]
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ERROR pandas/core/apply.py:197:52-58: Expected argument after ** to be a mapping, got: Unknown | None in function `reconstruct_func` [bad-unpacking]
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ERROR pandas/core/apply.py:210:12-17: `klass` may be uninitialized [unbound-name]
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ERROR pandas/core/apply.py:379:57-60: Argument `(BaseWindow & NDFrame) | (DataFrameGroupBy & NDFrame) | (GroupBy[Unknown] & NDFrame) | (NDFrame & Resampler) | (NDFrame & SeriesGroupBy) | DataFrame | Series` is not assignable to parameter `obj` with type `DataFrame | Series` in function `Apply.normalize_dictlike_arg` [bad-argument-type]
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ERROR pandas/core/apply.py:812:5-8: Class member `NDFrameApply.obj` overrides parent class `Apply` in an inconsistent manner [bad-override]
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ERROR pandas/core/apply.py:868:5-8: Class member `FrameApply.obj` overrides parent class `NDFrameApply` in an inconsistent manner [bad-override]
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ERROR pandas/core/apply.py:1125:17-27: Type `Materialization` is not iterable [not-iterable]
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ERROR pandas/core/apply.py:1477:5-8: Class member `SeriesApply.obj` overrides parent class `NDFrameApply` in an inconsistent manner [bad-override]
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ERROR pandas/core/apply.py:1589:5-8: Class member `GroupByApply.obj` overrides parent class `Apply` in an inconsistent manner [bad-override]
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ERROR pandas/core/apply.py:1684:5-8: Class member `ResamplerWindowApply.obj` overrides parent class `GroupByApply` in an inconsistent manner [bad-override]
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ERROR pandas/core/apply.py:1794:12-44: Returned type `tuple[bool, ((...) -> Unknown) | MutableMapping[Hashable, ((...) -> Unknown) | list[AggFuncTypeBase] | str] | MutableMapping[Hashable, list[AggFuncTypeBase]] | list[AggFuncTypeBase] | str, tuple[str, ...] | None, ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]] | None]` is not assignable to declared return type `tuple[bool, AggFuncType, tuple[str, ...] | None, ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]] | None]` [bad-return]
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ERROR pandas/core/apply.py:2000:49-53: Argument `((...) -> Unknown) | MutableMapping[Hashable, ((...) -> Unknown) | list[AggFuncTypeBase] | str] | list[AggFuncTypeBase] | str` is not assignable to parameter `func` with type `dict[str, list[((...) -> Unknown) | str]]` in function `relabel_result` [bad-argument-type]
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ERROR pandas/core/array_algos/quantile.py:145:23-152:6: No matching overload found for function `numpy.lib._function_base_impl.quantile` called with arguments: (ndarray[tuple[Any, ...], dtype[Any]], ndarray[tuple[Any, ...], dtype[float64]], method=str) [no-matching-overload]
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ERROR pandas/core/array_algos/quantile.py:218:27-226:10: No matching overload found for function `numpy.lib._function_base_impl.quantile` called with arguments: (ndarray[tuple[Any, ...], dtype[Any]], ndarray[tuple[Any, ...], dtype[float64]], axis=Literal[1], method=str) [no-matching-overload]
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ERROR pandas/core/array_algos/take.py:244:8-12: `func` may be uninitialized [unbound-name]
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ERROR pandas/core/array_algos/take.py:245:16-20: `func` may be uninitialized [unbound-name]
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ERROR pandas/core/array_algos/take.py:258:8-12: `func` may be uninitialized [unbound-name]
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ERROR pandas/core/array_algos/take.py:259:33-37: `func` may be uninitialized [unbound-name]
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ERROR pandas/core/array_algos/take.py:303:16-32: Object of class `float` has no attribute `dtype` [missing-attribute]
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ERROR pandas/core/array_algos/take.py:304:30-47: Object of class `float` has no attribute `astype` [missing-attribute]
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ERROR pandas/core/array_algos/take.py:306:30-47: Object of class `float` has no attribute `astype` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:52:18-32: No attribute `utf8_length` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:56:41-54: No attribute `utf8_lower` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:59:41-54: No attribute `utf8_upper` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:63:22-45: No attribute `utf8_trim_whitespace` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:65:22-34: No attribute `utf8_trim` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:70:22-46: No attribute `utf8_ltrim_whitespace` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:72:22-35: No attribute `utf8_ltrim` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:77:22-46: No attribute `utf8_rtrim_whitespace` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:79:22-35: No attribute `utf8_rtrim` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:89:22-34: No attribute `utf8_lpad` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:91:22-34: No attribute `utf8_rpad` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:105:34-48: No attribute `utf8_center` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:115:19-33: No attribute `utf8_length` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:117:29-45: No attribute `greater_equal` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:122:29-39: No attribute `greater` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:126:29-38: No attribute `invert` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:127:20-43: No attribute `utf8_slice_codeunits` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:131:18-28: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:146:13-36: No attribute `utf8_slice_codeunits` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:159:13-34: No attribute `utf8_replace_slice` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:184:16-42: No attribute `replace_substring_regex` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:184:57-77: No attribute `replace_substring` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:197:41-59: No attribute `utf8_capitalize` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:200:41-54: No attribute `utf8_title` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:203:41-57: No attribute `utf8_swapcase` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:206:23-37: No attribute `starts_with` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:207:19-42: No attribute `utf8_slice_codeunits` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:208:18-28: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:212:21-33: No attribute `ends_with` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:213:19-42: No attribute `utf8_slice_codeunits` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:214:18-28: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:221:22-36: No attribute `starts_with` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:226:26-36: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:226:37-47: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:228:26-40: No attribute `starts_with` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:231:30-36: No attribute `or_` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:231:45-59: No attribute `starts_with` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:238:22-34: No attribute `ends_with` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:243:26-36: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:243:37-47: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:245:26-38: No attribute `ends_with` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:248:30-36: No attribute `or_` in module `pyarrow.compute` [missing-attribute]
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ERROR pandas/core/arrays/_arrow_string_mixins.py:248:45-57: No attribute `ends_with` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:252:18-34: No attribute `utf8_is_alnum` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:256:18-34: No attribute `utf8_is_alpha` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:260:18-36: No attribute `string_is_ascii` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:264:18-36: No attribute `utf8_is_decimal` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:274:18-34: No attribute `utf8_is_digit` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:278:18-34: No attribute `utf8_is_lower` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:282:18-36: No attribute `utf8_is_numeric` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:286:18-34: No attribute `utf8_is_space` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:290:18-34: No attribute `utf8_is_title` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:294:18-34: No attribute `utf8_is_upper` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:309:27-51: No attribute `match_substring_regex` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:311:27-45: No attribute `match_substring` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:343:22-39: No attribute `find_substring` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:355:32-38: No attribute `add` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:355:46-60: No attribute `utf8_length` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:356:32-42: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:356:43-50: No attribute `less` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:359:22-45: No attribute `utf8_slice_codeunits` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:360:22-39: No attribute `find_substring` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:361:21-33: No attribute `not_equal` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:362:29-35: No attribute `add` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_arrow_string_mixins.py:363:22-32: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/_mixins.py:275:9-20: Class member `NDArrayBackedExtensionArray.__getitem__` overrides parent class `ExtensionArray` in an inconsistent manner [bad-param-name-override]
|
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ERROR pandas/core/arrays/_mixins.py:347:16-26: Object of class `bool` has no attribute `any` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/accessors.py:70:9-25: Method `__init__` inherited from class `ArrowAccessor` has no implementation and cannot be accessed via `super()` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/accessors.py:115:25-45: No attribute `list_value_length` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/accessors.py:163:23-38: No attribute `list_element` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/accessors.py:181:22-35: No attribute `list_slice` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/accessors.py:226:18-28: Module `pyarrow.compute` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
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ERROR pandas/core/arrays/arrow/accessors.py:226:18-46: No attribute `list_value_length` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/accessors.py:227:21-31: Module `pyarrow.compute` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
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ERROR pandas/core/arrays/arrow/accessors.py:227:21-44: No attribute `list_flatten` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/accessors.py:248:9-25: Method `__init__` inherited from class `ArrowAccessor` has no implementation and cannot be accessed via `super()` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/accessors.py:450:20-24: `name` may be uninitialized [unbound-name]
|
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ERROR pandas/core/arrays/arrow/accessors.py:454:21-36: No attribute `struct_field` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/array.py:97:15-23: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/array.py:98:15-27: No attribute `not_equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:99:15-22: No attribute `less` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:100:15-25: No attribute `greater` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/array.py:101:15-28: No attribute `less_equal` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/array.py:102:15-31: No attribute `greater_equal` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/array.py:106:17-30: No attribute `and_kleene` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/array.py:107:31-44: No attribute `and_kleene` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/array.py:108:16-28: No attribute `or_kleene` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/array.py:109:30-42: No attribute `or_kleene` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/array.py:110:16-22: No attribute `xor` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:111:30-36: No attribute `xor` in module `pyarrow.compute` [missing-attribute]
|
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ERROR pandas/core/arrays/arrow/array.py:115:17-32: No attribute `bit_wise_and` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:116:31-46: No attribute `bit_wise_and` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:117:16-30: No attribute `bit_wise_or` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:118:30-44: No attribute `bit_wise_or` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:119:16-31: No attribute `bit_wise_xor` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:120:30-45: No attribute `bit_wise_xor` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:146:23-40: No attribute `divide_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:149:33-45: No attribute `not_equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:149:46-57: No attribute `multiply` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:150:44-51: No attribute `less` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:151:21-36: No attribute `bit_wise_xor` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:154:26-36: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:155:21-28: No attribute `and_` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:160:21-32: No attribute `subtract` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:167:23-32: No attribute `divide` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:168:22-30: No attribute `floor` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:172:16-30: No attribute `add_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:173:30-44: No attribute `add_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:174:16-35: No attribute `subtract_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:175:30-49: No attribute `subtract_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:176:16-35: No attribute `multiply_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:177:30-49: No attribute `multiply_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:178:33-42: No attribute `divide` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:179:34-43: No attribute `divide` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:186:16-32: No attribute `power_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:187:30-46: No attribute `power_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:377:27-37: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:398:23-33: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:398:34-42: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:399:23-33: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:399:34-42: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:480:20-26: No attribute `lib` in module `pyarrow` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:488:20-26: No attribute `lib` in module `pyarrow` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:862:45-60: No attribute `bit_wise_not` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:869:45-54: No attribute `invert` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:873:45-62: No attribute `negate_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:883:41-55: No attribute `abs_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:907:20-26: No attribute `lib` in module `pyarrow` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:936:25-31: No attribute `lib` in module `pyarrow` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:936:58-64: No attribute `lib` in module `pyarrow` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:946:30-40: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:977:34-61: No attribute `binary_join_element_wise` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:979:34-61: No attribute `binary_join_element_wise` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:984:49-55: `result` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/arrays/arrow/array.py:990:31-41: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:990:42-49: No attribute `less` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:991:26-42: No attribute `binary_repeat` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1002:27-37: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1002:38-45: No attribute `less` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1003:22-38: No attribute `binary_repeat` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1007:17-27: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1073:20-29: No attribute `is_nan` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1074:19-39: No attribute `replace_with_mask` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1109:9-21: Class member `ArrowExtensionArray.__contains__` overrides parent class `ExtensionArraySupportsAnyAll` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/arrow/array.py:1116:24-30: No attribute `any` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1116:31-40: No attribute `is_nan` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1284:18-39: No attribute `array_sort_indices` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1332:41-53: No attribute `drop_null` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1350:25-45: No attribute `fill_null_forward` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1354:25-46: No attribute `fill_null_backward` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1416:18-26: No attribute `is_in` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1502:41-49: No attribute `round` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1766:21-30: No attribute `unique` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1920:23-33: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1921:16-22: No attribute `all` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1928:32-52: No attribute `fill_null_forward` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1929:32-53: No attribute `fill_null_backward` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1943:25-35: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:1990:22-34: No attribute `not_equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2006:29-38: No attribute `stddev` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2007:31-46: No attribute `sqrt_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2007:47-55: No attribute `count` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2008:24-41: No attribute `divide_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2015:24-34: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2026:44-53: No attribute `invert` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2039:24-38: No attribute `binary_join` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2148:12-22: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2167:18-28: Module `pyarrow.compute` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/core/arrays/arrow/array.py:2167:18-46: No attribute `list_value_length` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2171:12-20: Object of class `bool` has no attribute `any` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2174:25-35: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
|
|
WARN pandas/core/arrays/arrow/array.py:2174:36-41: Unary `~` is not supported on `bool` [deprecated]
|
|
ERROR pandas/core/arrays/arrow/array.py:2179:43-53: Module `pyarrow.compute` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/core/arrays/arrow/array.py:2179:43-66: No attribute `list_flatten` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2295:18-25: No attribute `rank` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2303:20-30: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2305:22-32: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2308:26-33: No attribute `rank` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2316:22-31: No attribute `divide` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2316:32-38: No attribute `add` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2322:27-33: No attribute `max` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2324:27-35: No attribute `count` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2325:22-31: No attribute `divide` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2376:18-29: No attribute `quantile` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2380:26-34: No attribute `floor` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2421:15-30: No attribute `value_counts` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2423:13-21: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2423:43-49: No attribute `max` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2429:40-61: No attribute `array_sort_indices` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2468:24-45: No attribute `fill_null_backward` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2468:46-70: No attribute `pairwise_diff_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2470:23-37: No attribute `add_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2470:51-68: No attribute `divide_checked` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2471:45-56: No attribute `coalesce` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2520:20-30: No attribute `if_else` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2572:20-40: No attribute `replace_with_mask` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2688:41-65: No attribute `count_substring_regex` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2695:41-57: No attribute `binary_repeat` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2705:41-55: No attribute `binary_join` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2733:18-34: No attribute `extract_regex` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2736:47-62: No attribute `struct_field` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2740:31-46: No attribute `struct_field` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2751:17-33: No attribute `split_pattern` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2752:28-43: No attribute `list_flatten` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2754:39-49: Module `pyarrow.compute` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/core/arrays/arrow/array.py:2754:39-68: No attribute `array_sort_indices` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2755:19-39: No attribute `list_value_length` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2758:19-30: No attribute `index_in` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2802:26-50: No attribute `utf8_split_whitespace` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2804:44-66: No attribute `split_pattern_regex` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2806:44-60: No attribute `split_pattern` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2814:17-41: No attribute `utf8_split_whitespace` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2817:13-29: No attribute `split_pattern` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2929:18-25: No attribute `year` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2934:18-24: No attribute `day` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2939:18-32: No attribute `day_of_week` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2947:18-32: No attribute `day_of_year` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2954:18-25: No attribute `hour` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2958:18-33: No attribute `iso_calendar` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2963:18-33: No attribute `is_leap_year` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2968:18-26: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2968:27-33: No attribute `day` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2973:18-26: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2974:13-28: No attribute `days_between` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2975:17-34: No attribute `floor_temporal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2976:17-33: No attribute `ceil_temporal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2984:18-25: No attribute `and_` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2985:13-21: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2985:22-30: No attribute `month` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2986:13-21: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2986:22-28: No attribute `day` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2992:18-25: No attribute `and_` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2993:13-21: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2993:22-30: No attribute `month` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2994:13-21: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:2994:22-28: No attribute `day` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3000:18-26: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3001:13-30: No attribute `floor_temporal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3002:13-30: No attribute `floor_temporal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3008:18-26: No attribute `equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3009:13-28: No attribute `days_between` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3010:17-34: No attribute `floor_temporal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3011:17-33: No attribute `ceil_temporal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3019:18-33: No attribute `days_between` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3020:13-30: No attribute `floor_temporal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3021:13-29: No attribute `ceil_temporal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3030:14-28: No attribute `microsecond` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3031:20-31: No attribute `multiply` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3031:32-46: No attribute `millisecond` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3032:18-24: No attribute `add` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3037:18-27: No attribute `minute` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3042:18-26: No attribute `month` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3047:18-31: No attribute `nanosecond` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3052:18-28: No attribute `quarter` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3057:18-27: No attribute `second` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3084:18-35: No attribute `floor_temporal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3088:18-29: No attribute `strftime` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3156:18-29: No attribute `strftime` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3162:18-29: No attribute `strftime` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3190:14-3193:10: 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:3197:22-40: No attribute `local_timestamp` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/arrow/array.py:3199:22-40: 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:1224:16-26: Object of class `bool` has no attribute `any` [missing-attribute]
|
|
WARN pandas/core/arrays/boolean.py:230:27-73: Redundant cast: `ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]` is the same type as `ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]` [redundant-cast]
|
|
ERROR pandas/core/arrays/boolean.py:259:24-34: Object of class `NoneType` has no attribute `shape` [missing-attribute]
|
|
ERROR pandas/core/arrays/boolean.py:262:12-24: Returned type `tuple[ndarray[tuple[int], dtype[Any]] | ndarray[tuple[Any, ...], dtype[Any]], ndarray[tuple[int] | tuple[Any, ...], dtype[Any]] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | ndarray[tuple[Any, ...], dtype[Any]] | None]` is not assignable to declared return type `tuple[ndarray[tuple[Any, ...], dtype[Any]], ndarray[tuple[Any, ...], dtype[Any]]]` [bad-return]
|
|
ERROR pandas/core/arrays/boolean.py:385:9-25: Class member `BooleanArray._coerce_to_array` overrides parent class `BaseMaskedArray` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/boolean.py:413:53-58: Argument `NAType | builtins.bool | numpy.bool[builtins.bool] | Unknown` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
|
|
ERROR pandas/core/arrays/boolean.py:417:54-59: Argument `NAType | builtins.bool | numpy.bool[builtins.bool] | Unknown` is not assignable to parameter `right` with type `NAType | builtins.bool | ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas.core.ops.mask_ops.kleene_or` [bad-argument-type]
|
|
ERROR pandas/core/arrays/boolean.py:419:55-60: Argument `NAType | builtins.bool | numpy.bool[builtins.bool] | Unknown` is not assignable to parameter `right` with type `NAType | builtins.bool | ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas.core.ops.mask_ops.kleene_and` [bad-argument-type]
|
|
ERROR pandas/core/arrays/boolean.py:422:55-60: Argument `NAType | builtins.bool | numpy.bool[builtins.bool] | Unknown` is not assignable to parameter `right` with type `NAType | builtins.bool | ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas.core.ops.mask_ops.kleene_xor` [bad-argument-type]
|
|
ERROR pandas/core/arrays/categorical.py:175:53-58: Argument `Hashable | Unknown` is not assignable to parameter `right` with type `ExtensionArray | Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating[Any, Unknown] | date | datetime | datetime64[date | int | None] | float | floating[Any] | int | integer[Any] | list[Unknown] | ndarray[tuple[Any, ...], dtype[Any]] | str | timedelta | timedelta64[int | timedelta | None]` in function `pandas.core.ops.invalid.invalid_comparison` [bad-argument-type]
|
|
ERROR pandas/core/arrays/categorical.py:373:5-11: Class member `Categorical._dtype` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/categorical.py:456:27-49: 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:458:27-58: 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:494:25-53: Object of class `ExtensionArray` has no attribute `_codes`
|
|
Object of class `ndarray` has no attribute `_codes` [missing-attribute]
|
|
ERROR pandas/core/arrays/categorical.py:538:9-29: Class member `Categorical._internal_fill_value` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/categorical.py:700:18-46: Object of class `ndarray` has no attribute `is_monotonic_increasing` [missing-attribute]
|
|
ERROR pandas/core/arrays/categorical.py:703:26-42: Object of class `ndarray` has no attribute `sort_values` [missing-attribute]
|
|
ERROR pandas/core/arrays/categorical.py:1638:5-11: Class member `Categorical.__eq__` overrides parent class `PandasObject` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/categorical.py:1638:5-11: Class member `Categorical.__eq__` overrides parent class `ObjectStringArrayMixin` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/categorical.py:1639:5-11: Class member `Categorical.__ne__` overrides parent class `PandasObject` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/categorical.py:1639:5-11: Class member `Categorical.__ne__` overrides parent class `ObjectStringArrayMixin` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/categorical.py:1655:9-25: Class member `Categorical._validate_scalar` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/categorical.py:2229:9-18: Class member `Categorical._box_func` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/categorical.py:2252:9-21: Class member `Categorical.__contains__` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/categorical.py:2989:9-31: Class member `CategoricalAccessor._delegate_property_get` overrides parent class `PandasDelegate` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/categorical.py:2992:9-31: Class member `CategoricalAccessor._delegate_property_set` overrides parent class `PandasDelegate` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/categorical.py:3142:35-52: Object of class `ExtensionArray` has no attribute `categories`
|
|
Object of class `ndarray` has no attribute `categories` [missing-attribute]
|
|
ERROR pandas/core/arrays/categorical.py:3142:61-73: Object of class `ExtensionArray` has no attribute `codes`
|
|
Object of class `ndarray` has no attribute `codes` [missing-attribute]
|
|
ERROR pandas/core/arrays/categorical.py:3146:17-29: Object of class `ExtensionArray` has no attribute `codes`
|
|
Object of class `ndarray` has no attribute `codes` [missing-attribute]
|
|
ERROR pandas/core/arrays/datetimelike.py:555:39-44: Argument `NaTType | Unknown` is not assignable to parameter `ts_input` with type `date | datetime | datetime64[date | int | None] | float | integer[Any] | str` in function `pandas._libs.tslibs.timestamps.Timestamp.__new__` [bad-argument-type]
|
|
ERROR pandas/core/arrays/datetimelike.py:714:16-32: 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:716:25-51: 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:1998:9-13: Class member `TimelikeOps.freq` overrides parent class `DatetimeLikeArrayMixin` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/datetimes.py:295:5-11: Class member `DatetimeArray._dtype` overrides parent class `TimelikeOps` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/datetimes.py:295:5-11: Class member `DatetimeArray._dtype` overrides parent class `DatelikeOps` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/datetimes.py:410:9-24: Class member `DatetimeArray._generate_range` overrides parent class `TimelikeOps` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/datetimes.py:456:48-71: `NaTType | Timestamp | None` is not assignable to upper bound `Timestamp | None` of type variable `_TimestampNoneT1` [bad-specialization]
|
|
ERROR pandas/core/arrays/datetimes.py:456:48-71: `NaTType | Timestamp | None` is not assignable to upper bound `Timestamp | None` of type variable `_TimestampNoneT2` [bad-specialization]
|
|
ERROR pandas/core/arrays/datetimes.py:457:39-44: 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:457:46-49: 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:461:43-48: 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:462:41-44: 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:476:51-56: 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:476:58-61: 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:479:27-32: 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:479:38-41: 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:483:62-68: Object of class `NoneType` has no attribute `tz` [missing-attribute]
|
|
ERROR pandas/core/arrays/datetimes.py:501:51-60: Argument `Literal['NaT', 'infer', 'raise'] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]` is not assignable to parameter `ambiguous` with type `Literal['raise'] | NaTType | builtins.bool` in function `pandas._libs.tslibs.nattype.NaTType.tz_localize` [bad-argument-type]
|
|
ERROR pandas/core/arrays/datetimes.py:501:51-60: Argument `Literal['NaT', 'infer', 'raise'] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.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:503:47-56: Argument `Literal['NaT', 'infer', 'raise'] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]` is not assignable to parameter `ambiguous` with type `Literal['raise'] | NaTType | builtins.bool` in function `pandas._libs.tslibs.nattype.NaTType.tz_localize` [bad-argument-type]
|
|
ERROR pandas/core/arrays/datetimes.py:503:47-56: Argument `Literal['NaT', 'infer', 'raise'] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.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:511:32-42: Object of class `NoneType` has no attribute `_value` [missing-attribute]
|
|
ERROR pandas/core/arrays/datetimes.py:511:45-57: Object of class `NoneType` has no attribute `_value` [missing-attribute]
|
|
ERROR pandas/core/arrays/datetimes.py:512:19-31: Object of class `NoneType` has no attribute `_value` [missing-attribute]
|
|
ERROR pandas/core/arrays/datetimes.py:523:34-39: Argument `NaTType | Timestamp | None` is not assignable to parameter `ts_input` with type `date | datetime | datetime64[date | int | None] | float | integer[Any] | str` in function `pandas._libs.tslibs.timestamps.Timestamp.__new__` [bad-argument-type]
|
|
ERROR pandas/core/arrays/datetimes.py:524:32-35: Argument `NaTType | Timestamp | None` is not assignable to parameter `ts_input` with type `date | datetime | datetime64[date | int | None] | float | integer[Any] | str` in function `pandas._libs.tslibs.timestamps.Timestamp.__new__` [bad-argument-type]
|
|
ERROR pandas/core/arrays/datetimes.py:543:33-58: No matching overload found for function `numpy.datetime64.__new__` called with arguments: (type[datetime64[date | int | None]], signedinteger[_64Bit], Literal['ms', 'ns', 's', 'us']) [no-matching-overload]
|
|
ERROR pandas/core/arrays/datetimes.py:2891:21-36: Object of class `NoneType` has no attribute `normalize` [missing-attribute]
|
|
ERROR pandas/core/arrays/datetimes.py:2894:19-32: Object of class `NoneType` has no attribute `normalize` [missing-attribute]
|
|
ERROR pandas/core/arrays/datetimes.py:2970:17-30: Object of class `NoneType` has no attribute `as_unit` [missing-attribute]
|
|
ERROR pandas/core/arrays/datetimes.py:2978:15-26: Object of class `NoneType` has no attribute `as_unit` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:293:17-21: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `intervals` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas._libs.interval.intervals_to_interval_bounds` [bad-argument-type]
|
|
ERROR pandas/core/arrays/interval.py:325:9-21: Object of class `IntervalMixin` has no attribute `_left` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:326:9-22: Object of class `IntervalMixin` has no attribute `_right` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:327:9-22: Object of class `IntervalMixin` has no attribute `_dtype` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:329:16-22: Returned type `IntervalMixin` is not assignable to declared return type `Self@IntervalArray` [bad-return]
|
|
ERROR pandas/core/arrays/interval.py:393:71-79: Object of class `Index` has no attribute `tz` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:396:37-45: Object of class `Index` has no attribute `tz` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:399:50-59: Object of class `Index` has no attribute `unit` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:399:63-73: Object of class `Index` has no attribute `unit` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:401:35-68: 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:417:21-56: Object of class `ExtensionArray` has no attribute `base` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:419:21-56: Object of class `ExtensionArray` has no attribute `base` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:438:16-34: Returned type `tuple[ArrayLike, ArrowExtensionArray | ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]], IntervalDtype]` is not assignable to declared return type `tuple[IntervalSide, IntervalSide, IntervalDtype]` [bad-return]
|
|
ERROR pandas/core/arrays/interval.py:826:9-20: Class member `IntervalArray.__getitem__` overrides parent class `ExtensionArray` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/interval.py:841:20-24: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `a` with type `_Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str` in function `numpy._core.fromnumeric.ndim` [bad-argument-type]
|
|
ERROR pandas/core/arrays/interval.py:887:27-43: Object of class `ExtensionArray` has no attribute `categories` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:891:35-51: Object of class `ExtensionArray` has no attribute `categories` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:894:25-41: Object of class `ExtensionArray` has no attribute `categories` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:895:21-32: Object of class `ExtensionArray` has no attribute `codes` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:895:62-78: Object of class `ExtensionArray` has no attribute `categories` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:900:31-43: Object of class `ExtensionArray` has no attribute `closed` [missing-attribute]
|
|
ERROR pandas/core/arrays/interval.py:929:33-38: 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:1147:80-86: Argument `str` is not assignable to parameter `closed` with type `Literal['both', 'left', 'neither', 'right'] | None` in function `IntervalArray._ensure_simple_new_inputs` [bad-argument-type]
|
|
ERROR pandas/core/arrays/interval.py:2195:16-22: Returned type `DataFrame | Unknown` is not assignable to declared return type `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` [bad-return]
|
|
ERROR pandas/core/arrays/interval.py:2208:12-18: Returned type `ExtensionArray | list[Unknown] | ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]] | ndarray[tuple[Any, ...], dtype[Any]] | range | tuple[Unknown, ...] | Unknown` is not assignable to declared return type `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` [bad-return]
|
|
ERROR pandas/core/arrays/masked.py:156:60-65: Argument `Unknown | None` is not assignable to parameter `dtype` with type `ExtensionDtype | dtype[Any]` in function `BaseMaskedArray._coerce_to_array` [bad-argument-type]
|
|
ERROR pandas/core/arrays/masked.py:385:9-21: Class member `BaseMaskedArray.__contains__` overrides parent class `ExtensionArray` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/masked.py:1054:9-13: Class member `BaseMaskedArray.take` overrides parent class `ExtensionArray` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/numeric.py:295:9-25: Class member `NumericArray._coerce_to_array` overrides parent class `BaseMaskedArray` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/numpy_.py:106:5-11: Class member `NumpyExtensionArray._dtype` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/numpy_.py:285:9-25: Class member `NumpyExtensionArray._validate_scalar` overrides parent class `NDArrayBackedExtensionArray` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/period.py:222:5-11: Class member `PeriodArray._dtype` overrides parent class `DatelikeOps` in an inconsistent manner [bad-override]
|
|
WARN pandas/core/arrays/period.py:252:21-41: Redundant cast: `PeriodDtype` is the same type as `PeriodDtype` [redundant-cast]
|
|
ERROR pandas/core/arrays/period.py:362:16-45: Returned type `NaTType | Period` is not assignable to declared return type `Period` [bad-return]
|
|
ERROR pandas/core/arrays/period.py:829:20-43: Object of class `BaseOffset` has no attribute `_period_dtype_code` [missing-attribute]
|
|
ERROR pandas/core/arrays/period.py:917:17-40: Object of class `BaseOffset` has no attribute `_period_dtype_code` [missing-attribute]
|
|
ERROR pandas/core/arrays/period.py:1033:9-20: Class member `PeriodArray._add_offset` overrides parent class `DatelikeOps` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/period.py:1180:36-52: 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:1361:40-49: Object of class `Index` has no attribute `freq` [missing-attribute]
|
|
ERROR pandas/core/arrays/period.py:1370:12-35: Object of class `BaseOffset` has no attribute `_period_dtype_code` [missing-attribute]
|
|
ERROR pandas/core/arrays/period.py:1400:20-30: Object of class `NaTType` has no attribute `freq`
|
|
Object of class `NoneType` has no attribute `freq` [missing-attribute]
|
|
ERROR pandas/core/arrays/period.py:1402:20-28: Object of class `NaTType` has no attribute `freq`
|
|
Object of class `NoneType` has no attribute `freq` [missing-attribute]
|
|
ERROR pandas/core/arrays/period.py:1411:17-28: Object of class `NaTType` has no attribute `ordinal`
|
|
Object of class `NoneType` has no attribute `ordinal` [missing-attribute]
|
|
ERROR pandas/core/arrays/period.py:1411:47-58: Object of class `NaTType` has no attribute `ordinal`
|
|
Object of class `NoneType` has no attribute `ordinal` [missing-attribute]
|
|
ERROR pandas/core/arrays/period.py:1415:17-30: Object of class `NaTType` has no attribute `ordinal` [missing-attribute]
|
|
ERROR pandas/core/arrays/period.py:1415:32-45: Object of class `NaTType` has no attribute `ordinal` [missing-attribute]
|
|
ERROR pandas/core/arrays/period.py:1418:26-39: Object of class `NaTType` has no attribute `ordinal`
|
|
Object of class `NoneType` has no attribute `ordinal` [missing-attribute]
|
|
ERROR pandas/core/arrays/period.py:1418:41-52: Object of class `NaTType` has no attribute `ordinal`
|
|
Object of class `NoneType` has no attribute `ordinal` [missing-attribute]
|
|
WARN pandas/core/arrays/period.py:1447:24-53: Redundant cast: `int` is the same type as `int` [redundant-cast]
|
|
WARN pandas/core/arrays/period.py:1451:28-57: Redundant cast: `int` is the same type as `int` [redundant-cast]
|
|
ERROR pandas/core/arrays/period.py:1464:45-49: 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:1469:12-52: Returned type `tuple[ndarray[tuple[Any, ...], dtype[Any]], BaseOffset | Unknown | None]` is not assignable to declared return type `tuple[ndarray[tuple[Any, ...], dtype[Any]], BaseOffset]` [bad-return]
|
|
ERROR pandas/core/arrays/period.py:1474:5-1479:32: `int | None` is not assignable to `None` (caused by inconsistent types when breaking cycles) [bad-assignment]
|
|
ERROR pandas/core/arrays/sparse/accessor.py:76:24-42: Object of class `NoneType` has no attribute `array` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/accessor.py:240:13-25: 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:271:13-31: Object of class `NoneType` has no attribute `array` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/accessor.py:272:19-37: Object of class `NoneType` has no attribute `index` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/accessor.py:273:18-35: Object of class `NoneType` has no attribute `name` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/accessor.py:391:51-69: Object of class `NoneType` has no attribute `items` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/accessor.py:392:16-41: Object of class `NoneType` has no attribute `_constructor` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/accessor.py:393:25-43: Object of class `NoneType` has no attribute `index` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/accessor.py:393:53-73: Object of class `NoneType` has no attribute `columns` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/accessor.py:430:34-53: Object of class `NoneType` has no attribute `dtypes` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/accessor.py:435:40-58: Object of class `NoneType` has no attribute `items` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/accessor.py:446:67-85: Object of class `NoneType` has no attribute `shape` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/accessor.py:464:62-80: Object of class `NoneType` has no attribute `items` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/array.py:464:39-467:14: No matching overload found for function `numpy._core.multiarray.asarray` called with arguments: (ndarray[tuple[Any, ...], dtype[Any]], dtype=ExtensionDtype | dtype[object_ | Any] | dtype[Any] | None) [no-matching-overload]
|
|
ERROR pandas/core/arrays/sparse/array.py:514:9-26: Object of class `object` has no attribute `_sparse_index` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/array.py:515:9-27: Object of class `object` has no attribute `_sparse_values` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/array.py:516:9-19: Object of class `object` has no attribute `_dtype` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/array.py:517:16-19: Returned type `object` is not assignable to declared return type `Self@SparseArray` [bad-return]
|
|
ERROR pandas/core/arrays/sparse/array.py:844:34-44: Argument `object | Unknown | None` is not assignable to parameter `*arrays_and_dtypes` with type `_Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | _SupportsDType[dtype[Any]] | bytes | complex | dtype[Any] | 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:948:16-24: Object of class `ExtensionArray` has no attribute `any` [missing-attribute]
|
|
ERROR pandas/core/arrays/sparse/array.py:949:17-29: Cannot index into `ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]]` [bad-index]
|
|
ERROR pandas/core/arrays/sparse/array.py:949:17-29: Cannot set item in `ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]]` [unsupported-operation]
|
|
ERROR pandas/core/arrays/sparse/array.py:970:9-20: Class member `SparseArray.__getitem__` overrides parent class `ExtensionArray` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/sparse/array.py:1188:9-21: Class member `SparseArray.searchsorted` overrides parent class `ExtensionArray` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/sparse/array.py:1682:20-29: Returned type `ndarray[tuple[Any, ...], dtype[signedinteger[_32Bit]]]` is not assignable to declared return type `int` [bad-return]
|
|
ERROR pandas/core/arrays/sparse/array.py:1684:20-29: Returned type `ndarray[tuple[Any, ...], dtype[signedinteger[_32Bit]]]` is not assignable to declared return type `int` [bad-return]
|
|
ERROR pandas/core/arrays/sparse/array.py:1686:20-29: Returned type `ndarray[tuple[Any, ...], dtype[signedinteger[_32Bit]]]` is not assignable to declared return type `int` [bad-return]
|
|
ERROR pandas/core/arrays/sparse/array.py:1690:20-29: Returned type `ndarray[tuple[Any, ...], dtype[signedinteger[_32Bit]]]` is not assignable to declared return type `int` [bad-return]
|
|
ERROR pandas/core/arrays/sparse/array.py:1933:19-32: Object of class `ndarray` has no attribute `sp_index` [missing-attribute]
|
|
ERROR pandas/core/arrays/string_.py:646:26-32: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `values` with type `NumpyExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas.core.arrays.numpy_.NumpyExtensionArray.__init__` [bad-argument-type]
|
|
ERROR pandas/core/arrays/string_.py:689:9-25: Class member `StringArray._validate_scalar` overrides parent class `NumpyExtensionArray` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/string_.py:749:35-47: No matching overload found for function `numpy.ndarray.astype` called with arguments: (StringDtype) [no-matching-overload]
|
|
ERROR pandas/core/arrays/string_.py:838:16-56: Returned type `ExtensionArray` is not assignable to declared return type `Self@StringArray` [bad-return]
|
|
WARN pandas/core/arrays/string_.py:957:27-67: Redundant cast: `ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]` is the same type as `ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]` [redundant-cast]
|
|
ERROR pandas/core/arrays/string_arrow.py:245:9-29: Class member `ArrowStringArray._convert_bool_result` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/string_arrow.py:291:18-26: No attribute `is_in` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/string_arrow.py:329:5-13: Class member `ArrowStringArray._str_pad` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/string_arrow.py:330:5-15: Class member `ArrowStringArray._str_lower` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/string_arrow.py:331:5-15: Class member `ArrowStringArray._str_upper` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/string_arrow.py:332:5-15: Class member `ArrowStringArray._str_strip` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/string_arrow.py:333:5-16: Class member `ArrowStringArray._str_lstrip` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/string_arrow.py:334:5-16: Class member `ArrowStringArray._str_rstrip` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/string_arrow.py:338:5-13: Class member `ArrowStringArray._str_get` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/string_arrow.py:339:5-20: Class member `ArrowStringArray._str_capitalize` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/string_arrow.py:340:5-15: Class member `ArrowStringArray._str_title` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/string_arrow.py:341:5-18: Class member `ArrowStringArray._str_swapcase` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/string_arrow.py:342:5-23: Class member `ArrowStringArray._str_slice_replace` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/string_arrow.py:344:5-15: Class member `ArrowStringArray._str_slice` overrides parent class `ArrowExtensionArray` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/string_arrow.py:446:18-42: No attribute `count_substring_regex` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/string_arrow.py:493:23-33: No attribute `is_null` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/string_arrow.py:494:23-35: No attribute `or_kleene` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/string_arrow.py:494:41-53: No attribute `not_equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/string_arrow.py:496:23-35: No attribute `not_equal` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/arrays/timedeltas.py:243:9-23: Class member `TimedeltaArray._from_sequence` overrides parent class `TimelikeOps` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/arrays/timedeltas.py:250:52-57: Argument `ExtensionDtype | dtype[Any] | Unknown` is not assignable to parameter `dtype` with type `dtype[Any]` in function `pandas._libs.tslibs.np_datetime.astype_overflowsafe` [bad-argument-type]
|
|
ERROR pandas/core/arrays/timedeltas.py:276:52-57: Argument `ExtensionDtype | dtype[Any] | Unknown` is not assignable to parameter `dtype` with type `dtype[Any]` in function `pandas._libs.tslibs.np_datetime.astype_overflowsafe` [bad-argument-type]
|
|
ERROR pandas/core/arrays/timedeltas.py:284:9-24: Class member `TimedeltaArray._generate_range` overrides parent class `TimelikeOps` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/arrays/timedeltas.py:314:44-49: 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:314:51-54: 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:316:33-45: Object of class `NoneType` has no attribute `_value` [missing-attribute]
|
|
ERROR pandas/core/arrays/timedeltas.py:316:47-57: Object of class `NoneType` has no attribute `_value` [missing-attribute]
|
|
ERROR pandas/core/arrays/timedeltas.py:336:20-65: Returned type `datetime64[date | int | None] | timedelta64[int | timedelta | None]` is not assignable to declared return type `timedelta64[int | timedelta | None]` [bad-return]
|
|
ERROR pandas/core/arrays/timedeltas.py:470:9-20: Class member `TimedeltaArray._add_offset` overrides parent class `TimelikeOps` in an inconsistent manner [bad-param-name-override]
|
|
WARN pandas/core/arrays/timedeltas.py:545:20-50: Redundant cast: `NaTType | Timedelta` is the same type as `NaTType | Timedelta` [redundant-cast]
|
|
ERROR pandas/core/arrays/timedeltas.py:573:41-70: No matching overload found for function `pandas._libs.tslibs.offsets.to_offset` called with arguments: (NaTType | Timedelta) [no-matching-overload]
|
|
ERROR pandas/core/arrays/timedeltas.py:1140:54-58: 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:1147:20-30: Object of class `ExtensionArray` has no attribute `_mask`
|
|
Object of class `ndarray` has no attribute `_mask` [missing-attribute]
|
|
ERROR pandas/core/arrays/timedeltas.py:1148:20-30: Object of class `ExtensionArray` has no attribute `_data`
|
|
Object of class `ndarray` has no attribute `_data` [missing-attribute]
|
|
ERROR pandas/core/arrays/timedeltas.py:1152:42-46: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Unknown` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas._libs.tslibs.conversion.cast_from_unit_vectorized` [bad-argument-type]
|
|
ERROR pandas/core/arrays/timedeltas.py:1161:40-44: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas._libs.tslibs.np_datetime.astype_overflowsafe` [bad-argument-type]
|
|
ERROR pandas/core/common.py:525:20-42: Expected *-unpacked P.args and **-unpacked P.kwargs [invalid-param-spec]
|
|
ERROR pandas/core/common.py:586:32-41: `old_value` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/computation/align.py:176:28-35: `list[Unknown]` 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, None, None]` is not assignable to parameter `iterable` with type `Iterable[_Token]` in function `tokenize.untokenize` [bad-argument-type]
|
|
ERROR pandas/core/computation/expr.py:241:22-250:18: `-` is not supported between `UnionType` and `frozenset[str]` [unsupported-operation]
|
|
ERROR pandas/core/computation/expr.py:241:22-250:18: `-` is not supported between `type` and `frozenset[str]` [unsupported-operation]
|
|
ERROR pandas/core/computation/ops.py:79:20-38: 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:477:32-38: Argument `Any | None` is not assignable to parameter `cls` with type `type` in function `issubclass` [bad-argument-type]
|
|
ERROR pandas/core/computation/ops.py:478:36-42: Argument `Any | None` is not assignable to parameter `cls` with type `type` in function `issubclass` [bad-argument-type]
|
|
ERROR pandas/core/computation/ops.py:512:18-22: Attribute `func` cannot depend on type variable `_T_co`, which is not in the scope of class `UnaryOp` [invalid-type-var]
|
|
ERROR pandas/core/computation/pytables.py:95:9-14: Class member `Term.value` overrides parent class `Term` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/computation/pytables.py:164:16-19: `res` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/computation/pytables.py:244:41-61: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Any` is not assignable to parameter `a` with type `_Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str` in function `numpy._core.numeric.flatnonzero` [bad-argument-type]
|
|
ERROR pandas/core/computation/pytables.py:564:5-13: Class member `PyTablesExpr._visitor` overrides parent class `Expr` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/computation/pytables.py:565:5-8: Class member `PyTablesExpr.env` overrides parent class `Expr` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/construction.py:348:24-35: Object of class `Sequence` has no attribute `copy` [missing-attribute]
|
|
WARN pandas/core/construction.py:351:20-38: Redundant cast: `ndarray[tuple[Any, ...], dtype[Any]]` is the same type as `ndarray[tuple[Any, ...], dtype[Any]]` [redundant-cast]
|
|
ERROR pandas/core/construction.py:585:51-55: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | object` is not assignable to parameter `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating[Any, Unknown] | date | datetime | datetime64[date | int | None] | float | floating[Any] | int | integer[Any] | str | timedelta | timedelta64[int | timedelta | None]` in function `pandas.core.dtypes.cast.construct_1d_arraylike_from_scalar` [bad-argument-type]
|
|
ERROR pandas/core/construction.py:605:24-30: No matching overload found for function `list.__init__` called with arguments: (ndarray[tuple[Any, ...], dtype[Any]] | object) [no-matching-overload]
|
|
ERROR pandas/core/construction.py:658:20-26: No matching overload found for function `list.__init__` called with arguments: (object) [no-matching-overload]
|
|
WARN pandas/core/construction.py:822:23-40: Redundant cast: `ndarray[tuple[Any, ...], dtype[Any]]` is the same type as `ndarray[tuple[Any, ...], dtype[Any]]` [redundant-cast]
|
|
WARN pandas/core/construction.py:834:23-40: Redundant cast: `ndarray[tuple[Any, ...], dtype[Any]]` is the same type as `ndarray[tuple[Any, ...], dtype[Any]]` [redundant-cast]
|
|
ERROR pandas/core/dtypes/cast.py:177:17-33: `NaTType | Timestamp` is not assignable to variable `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating[Any, Unknown] | date | datetime | datetime64[date | int | None] | float | floating[Any] | int | integer[Any] | str | timedelta | timedelta64[int | timedelta | None]` [bad-assignment]
|
|
ERROR pandas/core/dtypes/cast.py:179:17-33: `NaTType | Timedelta` is not assignable to variable `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating[Any, Unknown] | date | datetime | datetime64[date | int | None] | float | floating[Any] | int | integer[Any] | str | timedelta | timedelta64[int | timedelta | None]` [bad-assignment]
|
|
ERROR pandas/core/dtypes/cast.py:344:23-34: Object of class `ExtensionArray` has no attribute `iloc` [missing-attribute]
|
|
ERROR pandas/core/dtypes/cast.py:359:44-50: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `b` with type `_Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str` in function `numpy._core.numeric.allclose` [bad-argument-type]
|
|
ERROR pandas/core/dtypes/cast.py:380:36-42: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `b` with type `_Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str` in function `numpy._core.numeric.allclose` [bad-argument-type]
|
|
ERROR pandas/core/dtypes/cast.py:386:39-45: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `a2` with type `_Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str` in function `numpy._core.numeric.array_equal` [bad-argument-type]
|
|
ERROR pandas/core/dtypes/cast.py:407:16-36: Returned type `ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]] | Unknown` is not assignable to declared return type `NumpyIndexT` [bad-return]
|
|
ERROR pandas/core/dtypes/cast.py:409:16-37: Returned type `ndarray[tuple[Any, ...], dtype[unsignedinteger[_64Bit]]] | Unknown` is not assignable to declared return type `NumpyIndexT` [bad-return]
|
|
ERROR pandas/core/dtypes/cast.py:411:16-38: Returned type `ndarray[tuple[Any, ...], dtype[float64]] | Unknown` is not assignable to declared return type `NumpyIndexT` [bad-return]
|
|
ERROR pandas/core/dtypes/cast.py:500:42-46: Argument `float | Unknown | None` is not assignable to parameter `dtype` with type `_SupportsDType[dtype[datetime64[date | int | None]]] | _SupportsDType[dtype[timedelta64[int | timedelta | None]]] | dtype[datetime64[date | int | None]] | dtype[timedelta64[int | timedelta | None]] | str | type[datetime64[date | int | None]] | type[timedelta64[int | timedelta | None]]` in function `numpy._core.multiarray.datetime_data` [bad-argument-type]
|
|
ERROR pandas/core/dtypes/cast.py:866:25-869:6: `-` is not supported between `set[DtypeObj]` and `set[type[bytes_] | type[str_]]` [unsupported-operation]
|
|
ERROR pandas/core/dtypes/common.py:1681:28-45: Object of class `type` has no attribute `type` [missing-attribute]
|
|
ERROR pandas/core/dtypes/dtypes.py:329:35-47: Object of class `NoneType` has no attribute `dtype` [missing-attribute]
|
|
ERROR pandas/core/dtypes/dtypes.py:343:21-33: Object of class `NoneType` has no attribute `dtype` [missing-attribute]
|
|
ERROR pandas/core/dtypes/dtypes.py:344:17-29: Object of class `NoneType` has no attribute `dtype` [missing-attribute]
|
|
ERROR pandas/core/dtypes/dtypes.py:651:16-32: Returned type `Index | None` is not assignable to declared return type `Index` [bad-return]
|
|
ERROR pandas/core/dtypes/dtypes.py:806:43-45: 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:972:30-88: No matching overload found for function `numpy._core.fromnumeric.amax` called with arguments: (list[DtypeObj]) [no-matching-overload]
|
|
ERROR pandas/core/dtypes/dtypes.py:1063:26-49: Object of class `BaseOffset` has no attribute `_period_dtype_code` [missing-attribute]
|
|
ERROR pandas/core/dtypes/dtypes.py:1066:9-16: Object of class `PeriodDtypeBase` has no attribute `_freq` [missing-attribute]
|
|
ERROR pandas/core/dtypes/dtypes.py:1067:16-17: Returned type `PeriodDtypeBase` is not assignable to declared return type `PeriodDtype` [bad-return]
|
|
ERROR pandas/core/dtypes/dtypes.py:1327:29-36: `ExtensionDtype | dtype[Any]` is not assignable to attribute `_subtype` with type `dtype[Any] | None` [bad-assignment]
|
|
ERROR pandas/core/dtypes/dtypes.py:1398:9-13: Class member `IntervalDtype.type` overrides parent class `PandasExtensionDtype` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/dtypes/inference.py:301:17-20: Argument `object` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
|
|
ERROR pandas/core/frame.py:664:5-9: Class member `DataFrame._mgr` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:894:56-60: Argument `list[Unknown] | Unknown` is not assignable to parameter `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating[Any, Unknown] | date | datetime | datetime64[date | int | None] | float | floating[Any] | int | integer[Any] | str | timedelta | timedelta64[int | timedelta | None]` in function `pandas.core.dtypes.cast.construct_1d_arraylike_from_scalar` [bad-argument-type]
|
|
ERROR pandas/core/frame.py:900:21-25: Argument `list[Unknown] | Unknown` is not assignable to parameter `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating[Any, Unknown] | date | datetime | datetime64[date | int | None] | float | floating[Any] | int | integer[Any] | str | timedelta | timedelta64[int | timedelta | None]` in function `pandas.core.dtypes.cast.construct_2d_arraylike_from_scalar` [bad-argument-type]
|
|
ERROR pandas/core/frame.py:1678:17-21: Expected string literal "itertuple" [invalid-argument]
|
|
ERROR pandas/core/frame.py:2055:9-16: Overload return type `dict[Unknown, Unknown]` is not assignable to implementation return type `list[type[dict[Unknown, Unknown]]] | type[dict[Unknown, Unknown]]` [inconsistent-overload]
|
|
ERROR pandas/core/frame.py:2064:9-16: Overload return type `list[dict[Unknown, Unknown]]` is not assignable to implementation return type `list[type[dict[Unknown, Unknown]]] | type[dict[Unknown, Unknown]]` [inconsistent-overload]
|
|
ERROR pandas/core/frame.py:2185:16-61: Returned type `MutableMapping[Unknown, Unknown] | list[MutableMappingT]` is not assignable to declared return type `list[MutableMappingT] | MutableMappingT` [bad-return]
|
|
ERROR pandas/core/frame.py:2358:62-2361:26: No matching overload found for function `pandas._libs.lib.maybe_convert_objects` called with arguments: (ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]], try_float=Literal[True]) [no-matching-overload]
|
|
ERROR pandas/core/frame.py:2541:20-41: `in` is not supported between `Hashable` and `None` [not-iterable]
|
|
ERROR pandas/core/frame.py:2541:20-41: `in` is not supported between `str` and `None` [not-iterable]
|
|
ERROR pandas/core/frame.py:2541:20-41: `in` is not supported between `Unknown` and `None` [not-iterable]
|
|
ERROR pandas/core/frame.py:2541:20-41: `in` is not supported between `None` and `None` [not-iterable]
|
|
ERROR pandas/core/frame.py:2542:37-56: `None` is not subscriptable [unsupported-operation]
|
|
ERROR pandas/core/frame.py:2543:22-48: `in` is not supported between `int` and `None` [not-iterable]
|
|
ERROR pandas/core/frame.py:2544:37-61: `None` is not subscriptable [unsupported-operation]
|
|
ERROR pandas/core/frame.py:4106:9-20: Class member `DataFrame.__getitem__` overrides parent class `NDFrame` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/frame.py:4647:36-77: No matching overload found for function `numpy.lib._shape_base_impl.tile` called with arguments: (ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]], tuple[int, Literal[1]]) [no-matching-overload]
|
|
ERROR pandas/core/frame.py:5232:31-40: No matching overload found for function `frozenset.__new__` called with arguments: (type[frozenset[_T_co]], tuple[()] | tuple[Unknown] | Unknown | None) [no-matching-overload]
|
|
ERROR pandas/core/frame.py:5232:51-60: No matching overload found for function `frozenset.__new__` called with arguments: (type[frozenset[_T_co]], tuple[()] | tuple[Unknown] | Unknown | None) [no-matching-overload]
|
|
ERROR pandas/core/frame.py:7245:9-20: Class member `DataFrame.sort_values` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:10189:37-42: 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:10624:42-49: Argument `int | integer[Any]` is not assignable to parameter `periods` with type `Sequence[int] | int` in function `DataFrame.shift` [bad-argument-type]
|
|
ERROR pandas/core/frame.py:10628:37-44: Argument `int | integer[Any]` 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:10732:37-41: Argument `Unknown | None` is not assignable to parameter `func` with type `((...) -> Unknown) | MutableMapping[Hashable, ((...) -> Unknown) | list[AggFuncTypeBase] | str] | list[AggFuncTypeBase] | str` in function `pandas.core.apply.frame_apply` [bad-argument-type]
|
|
ERROR pandas/core/frame.py:11426:20-26: Returned type `DataFrame | Series` is not assignable to declared return type `DataFrame` [bad-return]
|
|
ERROR pandas/core/frame.py:12132:24-35: Object of class `ndarray` has no attribute `_reduce` [missing-attribute]
|
|
ERROR pandas/core/frame.py:12227:9-12: Class member `DataFrame.any` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:12320:9-12: Class member `DataFrame.min` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:12367:9-12: Class member `DataFrame.max` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:12602:9-13: Class member `DataFrame.mean` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:12649:9-15: Class member `DataFrame.median` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:12698:9-12: Class member `DataFrame.sem` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:12818:9-12: Class member `DataFrame.var` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:12937:9-12: Class member `DataFrame.std` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:13063:9-13: Class member `DataFrame.skew` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:13183:9-13: Class member `DataFrame.kurt` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:13311:9-15: Class member `DataFrame.cummin` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:13320:16-67: Returned type `NDFrame` is not assignable to declared return type `Self@DataFrame` [bad-return]
|
|
ERROR pandas/core/frame.py:13323:9-15: Class member `DataFrame.cummax` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:13332:16-67: Returned type `NDFrame` is not assignable to declared return type `Self@DataFrame` [bad-return]
|
|
ERROR pandas/core/frame.py:13335:9-15: Class member `DataFrame.cumsum` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:13344:16-67: Returned type `NDFrame` is not assignable to declared return type `Self@DataFrame` [bad-return]
|
|
ERROR pandas/core/frame.py:13347:9-16: Class member `DataFrame.cumprod` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:13356:16-68: Returned type `NDFrame` is not assignable to declared return type `Self@DataFrame` [bad-return]
|
|
ERROR pandas/core/frame.py:13843:35-13849:14: No matching overload found for function `DataFrame.quantile` called with arguments: (list[ExtensionArray | Index | Sequence[float] | Series | float | ndarray[tuple[Any, ...], dtype[Any]]], axis=int, numeric_only=bool, interpolation=Literal['higher', 'linear', 'lower', 'midpoint', 'nearest'], method=Literal['single', 'table']) [no-matching-overload]
|
|
ERROR pandas/core/frame.py:13917:45-48: `res` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/frame.py:13917:55-58: `res` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/frame.py:14223:5-22: Class member `DataFrame._info_axis_number` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/frame.py:14224:5-20: Class member `DataFrame._info_axis_name` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/generic.py:3553:38-39: 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:4217:24-41: Returned type `ndarray[tuple[Any, ...], dtype[Any]] | Any` is not assignable to declared return type `Self@NDFrame` [bad-return]
|
|
ERROR pandas/core/generic.py:4230:28-37: `new_index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/generic.py:4592:13-25: `str` is not assignable to `Literal['columns', 'index', 'rows'] | int` [bad-assignment]
|
|
ERROR pandas/core/generic.py:4669:24-37: Object of class `ndarray` has no attribute `to_numpy` [missing-attribute]
|
|
ERROR pandas/core/generic.py:6086:27-73: No matching overload found for function `pandas.core.common.pipe` called with arguments: (Self@NDFrame, ((Self@NDFrame, ParamSpec(P)) -> T) | tuple[(...) -> T, str], *tuple[Any, ...], **dict[str, Any]) [no-matching-overload]
|
|
WARN pandas/core/generic.py:6523:20-34: Redundant cast: `Self@NDFrame` is the same type as `Self@NDFrame` [redundant-cast]
|
|
ERROR pandas/core/generic.py:7571:26-42: Object of class `NoneType` has no attribute `items`
|
|
Object of class `bool` has no attribute `items` [missing-attribute]
|
|
ERROR pandas/core/generic.py:7604:32-81: No matching overload found for function `NDFrame.replace` called with arguments: (dict[Unknown, Unknown] | list[Unknown] | tuple[Any, ...], dict[Unknown, Unknown] | list[Unknown] | tuple[Any, ...], inplace=bool, regex=builtins.bool | numpy.bool[builtins.bool]) [no-matching-overload]
|
|
ERROR pandas/core/generic.py:7621:31-46: `None` is not subscriptable [unsupported-operation]
|
|
ERROR pandas/core/generic.py:7622:36-51: Object of class `NoneType` has no attribute `keys` [missing-attribute]
|
|
ERROR pandas/core/generic.py:7636:65-81: Object of class `NoneType` has no attribute `items` [missing-attribute]
|
|
ERROR pandas/core/generic.py:7646:43-53: Argument `Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
|
|
ERROR pandas/core/generic.py:7649:24-34: Argument `Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
|
|
ERROR pandas/core/generic.py:7652:42-52: Argument `Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
|
|
ERROR pandas/core/generic.py:7655:30-40: 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:7658:27-32: Argument `builtins.bool | numpy.bool[builtins.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:7686:46-51: Argument `builtins.bool | numpy.bool[builtins.bool]` is not assignable to parameter `regex` with type `builtins.bool` in function `pandas.core.array_algos.replace.should_use_regex` [bad-argument-type]
|
|
WARN pandas/core/generic.py:8122:28-44: Redundant cast: `Series` is the same type as `Series` [redundant-cast]
|
|
ERROR pandas/core/generic.py:9489:22-9493:10: No matching overload found for function `pandas.core.reshape.concat.concat` called with arguments: (list[NDFrame | Unknown | Self@NDFrame], axis=int | Unknown, keys=tuple[*Sequence[str | None]]) [no-matching-overload]
|
|
ERROR pandas/core/generic.py:9956:64-72: `res_cols` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/groupby/generic.py:1133:17-22: Argument `list[ndarray[tuple[int], dtype[Unknown]] | ndarray[tuple[Any, ...], dtype[Any]] | ndarray[tuple[Any, ...], dtype[Unknown]]]` is not assignable to parameter `right_keys` with type `list[ArrayLike]` in function `pandas.core.reshape.merge.get_join_indexers` [bad-argument-type]
|
|
ERROR pandas/core/groupby/generic.py:2258:19-23: `path` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/groupby/groupby.py:770:24-53: No matching overload found for function `pandas.core.common.pipe` called with arguments: (Self@BaseGroupBy, ((Self@BaseGroupBy, ParamSpec(P)) -> T) | tuple[(...) -> T, str], *tuple[Any, ...], **dict[str, Any]) [no-matching-overload]
|
|
ERROR pandas/core/groupby/groupby.py:1603:28-48: Returned type `object` is not assignable to declared return type `NDFrameT` [bad-return]
|
|
WARN pandas/core/groupby/groupby.py:1837:28-63: Redundant cast: `Literal['idxmax', 'idxmin']` is the same type as `Literal['idxmax', 'idxmin']` [redundant-cast]
|
|
ERROR pandas/core/groupby/groupby.py:5212:18-24: `concat` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/groupby/groupby.py:5618:54-65: `weights_arr` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/groupby/groupby.py:5719:16-22: Returned type `Series | NDFrameT` is not assignable to declared return type `NDFrameT` [bad-return]
|
|
ERROR pandas/core/groupby/grouper.py:656:47-54: `na_code` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/groupby/grouper.py:657:34-41: `na_mask` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/groupby/grouper.py:657:43-50: `na_code` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/groupby/grouper.py:678:16-30: Returned type `tuple[ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]] | ndarray[tuple[Any, ...], dtype[Any]], ExtensionArray | Index | ndarray[tuple[Any, ...], dtype[Any]]]` is not assignable to declared return type `tuple[ndarray[tuple[Any, ...], dtype[signedinteger[Any]]], ArrayLike]` [bad-return]
|
|
ERROR pandas/core/groupby/grouper.py:881:28-36: Object of class `NoneType` has no attribute `name` [missing-attribute]
|
|
ERROR pandas/core/groupby/grouper.py:886:57-60: 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:892:32-36: 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:893:42-45: 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:116:18-42: Type `prange` is not iterable [not-iterable]
|
|
ERROR pandas/core/groupby/numba_.py:118:22-47: Type `prange` is not iterable [not-iterable]
|
|
ERROR pandas/core/groupby/numba_.py:176:18-42: Type `prange` is not iterable [not-iterable]
|
|
ERROR pandas/core/groupby/numba_.py:178:22-47: Type `prange` is not iterable [not-iterable]
|
|
ERROR pandas/core/groupby/ops.py:200:34-50: Object of class `FunctionType` has no attribute `__signatures__` [missing-attribute]
|
|
ERROR pandas/core/groupby/ops.py:502:32-38: `counts` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/groupby/ops.py:680:31-40: `null_gaps` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexers/utils.py:325:20-31: Object of class `Index` has no attribute `sum` [missing-attribute]
|
|
ERROR pandas/core/indexes/accessors.py:91:9-31: Class member `Properties._delegate_property_get` overrides parent class `PandasDelegate` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/indexes/accessors.py:175:9-31: Class member `ArrowTemporalProperties._delegate_property_get` overrides parent class `PandasDelegate` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/indexes/base.py:320:23-33: No matching overload found for function `type.__new__` called with arguments: (type[Unknown], **Unknown) [no-matching-overload]
|
|
ERROR pandas/core/indexes/base.py:545:32-38: No matching overload found for function `list.__init__` called with arguments: (memoryview[int] | Unknown | None) [no-matching-overload]
|
|
ERROR pandas/core/indexes/base.py:555:25-29: Argument `list[Unknown] | memoryview[int] | 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/indexes/base.py:562:28-34: No matching overload found for function `list.__init__` called with arguments: (list[Unknown] | memoryview[int] | Unknown | None) [no-matching-overload]
|
|
ERROR pandas/core/indexes/base.py:660:9-21: Object of class `object` has no attribute `_data` [missing-attribute]
|
|
ERROR pandas/core/indexes/base.py:661:9-21: Object of class `object` has no attribute `_name` [missing-attribute]
|
|
ERROR pandas/core/indexes/base.py:662:9-22: Object of class `object` has no attribute `_cache` [missing-attribute]
|
|
ERROR pandas/core/indexes/base.py:663:9-31: Object of class `object` has no attribute `_reset_identity` [missing-attribute]
|
|
ERROR pandas/core/indexes/base.py:665:13-31: Object of class `object` has no attribute `_references` [missing-attribute]
|
|
ERROR pandas/core/indexes/base.py:667:13-31: Object of class `object` has no attribute `_references` [missing-attribute]
|
|
ERROR pandas/core/indexes/base.py:668:9-27: Object of class `object` has no attribute `_references` [missing-attribute]
|
|
ERROR pandas/core/indexes/base.py:670:16-22: Returned type `object` is not assignable to declared return type `Self@Index` [bad-return]
|
|
ERROR pandas/core/indexes/base.py:972:20-26: Argument `object` is not assignable to parameter `a` with type `_Buffer | _NestedSequence[bytes | complex | str] | _NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]] | bytes | complex | str` in function `numpy._core.fromnumeric.ndim` [bad-argument-type]
|
|
ERROR pandas/core/indexes/base.py:1359:42-49: Argument `ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]]` is not assignable to parameter `repeats` with type `Sequence[int] | int` in function `pandas.core.arrays.base.ExtensionArray.repeat` [bad-argument-type]
|
|
ERROR pandas/core/indexes/base.py:1831:16-25: Argument `list[Unknown | None] | Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
|
|
ERROR pandas/core/indexes/base.py:1833:75-84: Argument `list[Unknown | None] | Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
|
|
ERROR pandas/core/indexes/base.py:1837:31-41: Type `None` is not iterable [not-iterable]
|
|
ERROR pandas/core/indexes/base.py:1839:16-25: Returned type `list[Unknown | None] | Unknown | None` is not assignable to declared return type `list[Hashable]` [bad-return]
|
|
ERROR pandas/core/indexes/base.py:3737:48-60: Object of class `Index` has no attribute `codes` [missing-attribute]
|
|
ERROR pandas/core/indexes/base.py:3755:51-68: Object of class `Index` has no attribute `categories` [missing-attribute]
|
|
ERROR pandas/core/indexes/base.py:3757:57-69: Object of class `Index` has no attribute `codes` [missing-attribute]
|
|
ERROR pandas/core/indexes/base.py:3817:48-58: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Unknown` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas._libs.index.ExtensionEngine.get_indexer` [bad-argument-type]
|
|
ERROR pandas/core/indexes/base.py:3817:48-58: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Unknown` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas._libs.index.IndexEngine.get_indexer` [bad-argument-type]
|
|
ERROR pandas/core/indexes/base.py:4567:12-22: `join_index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/base.py:4568:26-36: `join_index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/base.py:4570:12-22: `join_index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/base.py:4573:45-55: `join_index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/base.py:4574:12-22: `join_index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/base.py:4577:46-56: `join_index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/base.py:4578:16-26: `join_index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/base.py:4900:24-28: `lidx` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/base.py:4900:62-66: `lidx` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/base.py:4901:24-28: `ridx` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/base.py:4901:62-66: `ridx` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/base.py:4902:16-26: `join_index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/base.py:5299:23-35: Object of class `object` has no attribute `to_numpy` [missing-attribute]
|
|
ERROR pandas/core/indexes/base.py:5310:25-30: No matching overload found for function `pandas.core.arrays.base.ExtensionArray.__getitem__` called with arguments: (ndarray[tuple[Any, ...], dtype[Any]] | object | Unknown) [no-matching-overload]
|
|
ERROR pandas/core/indexes/base.py:5310:25-30: No matching overload found for function `numpy.ndarray.__getitem__` called with arguments: (ndarray[tuple[Any, ...], dtype[Any]] | object | Unknown) [no-matching-overload]
|
|
ERROR pandas/core/indexes/base.py:5745:47-5748:10: No matching overload found for function `numpy.ndarray.searchsorted` called with arguments: (ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]], side=Literal['right']) [no-matching-overload]
|
|
ERROR pandas/core/indexes/base.py:6135:64-74: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Unknown` is not assignable to parameter `targets` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas._libs.index.ExtensionEngine.get_indexer_non_unique` [bad-argument-type]
|
|
ERROR pandas/core/indexes/base.py:6135:64-74: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Unknown` is not assignable to parameter `targets` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas._libs.index.IndexEngine.get_indexer_non_unique` [bad-argument-type]
|
|
ERROR pandas/core/indexes/category.py:186:5-10: Class member `CategoricalIndex._data` overrides parent class `NDArrayBackedExtensionIndex` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/indexes/category.py:198:11-32: Cannot index into `dict[int16 | int32 | int64 | int8, type[Int16Engine] | type[Int32Engine] | type[Int64Engine] | type[Int8Engine]]` [bad-index]
|
|
ERROR pandas/core/indexes/category.py:429:9-37: Class member `CategoricalIndex._maybe_cast_listlike_indexer` overrides parent class `NDArrayBackedExtensionIndex` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/indexes/datetimelike.py:93:5-10: Class member `DatetimeIndexOpsMixin._data` overrides parent class `NDArrayBackedExtensionIndex` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/indexes/datetimelike.py:188:39-46: Cannot instantiate `DatetimeIndexOpsMixin` because the following members are abstract: `_resolution_obj` [bad-instantiation]
|
|
ERROR pandas/core/indexes/datetimelike.py:200:42-52: Object of class `CategoricalIndex` has no attribute `asi8`
|
|
Object of class `Index` has no attribute `asi8` [missing-attribute]
|
|
ERROR pandas/core/indexes/datetimelike.py:276:12-16: `freq` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/datetimelike.py:276:48-52: `freq` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/datetimelike.py:277:23-27: `freq` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/datetimelike.py:279:23-27: `freq` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/datetimelike.py:367:58-62: `reso` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/datetimelike.py:367:64-70: `parsed` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/datetimelike.py:409:9-37: Class member `DatetimeIndexOpsMixin._maybe_cast_listlike_indexer` overrides parent class `NDArrayBackedExtensionIndex` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/indexes/datetimelike.py:428:5-10: Class member `DatetimeTimedeltaMixin._data` overrides parent class `DatetimeIndexOpsMixin` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/indexes/datetimelike.py:552:33-554:14: 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:624:28-56: Type `Materialization` is not iterable [not-iterable]
|
|
ERROR pandas/core/indexes/datetimelike.py:807:45-61: `-` is not supported between `NaTType` and `BaseOffset` [unsupported-operation]
|
|
ERROR pandas/core/indexes/datetimelike.py:815:45-49: 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:855:13-31: Object of class `NDArrayBackedExtensionArray` has no attribute `_freq` [missing-attribute]
|
|
ERROR pandas/core/indexes/datetimelike.py:856:16-22: Returned type `NDArrayBackedExtensionIndex` is not assignable to declared return type `Self@DatetimeTimedeltaMixin` [bad-return]
|
|
ERROR pandas/core/indexes/datetimes.py:267:5-10: Class member `DatetimeIndex._data` overrides parent class `DatetimeTimedeltaMixin` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/indexes/datetimes.py:380:16-44: `%` is not supported between `NaTType` and `timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/datetimes.py:546:22-36: Object of class `NaTType` has no attribute `start_time` [missing-attribute]
|
|
ERROR pandas/core/indexes/datetimes.py:546:38-50: Object of class `NaTType` has no attribute `end_time` [missing-attribute]
|
|
ERROR pandas/core/indexes/datetimes.py:579:16-28: Returned type `tuple[NaTType | Timestamp, Resolution]` is not assignable to declared return type `tuple[Timestamp, Resolution]` [bad-return]
|
|
ERROR pandas/core/indexes/extension.py:147:5-10: Class member `ExtensionIndex._data` overrides parent class `Index` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/indexes/extension.py:169:5-10: Class member `NDArrayBackedExtensionIndex._data` overrides parent class `ExtensionIndex` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/indexes/interval.py:242:5-10: Class member `IntervalIndex._data` overrides parent class `ExtensionIndex` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/indexes/interval.py:807:20-33: Returned type `signedinteger[_NBitIntP] | Unknown` is not assignable to declared return type `int | ndarray[tuple[Any, ...], dtype[Any]] | slice[Any, Any, Any]` [bad-return]
|
|
ERROR pandas/core/indexes/interval.py:1375:36-41: Argument `Unknown | None` is not assignable to parameter `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating[Any, Unknown] | date | datetime | datetime64[date | int | None] | float | floating[Any] | int | integer[Any] | str | timedelta | timedelta64[int | timedelta | None]` in function `pandas.core.dtypes.cast.maybe_box_datetimelike` [bad-argument-type]
|
|
ERROR pandas/core/indexes/interval.py:1376:34-37: Argument `Unknown | None` is not assignable to parameter `value` with type `Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating[Any, Unknown] | date | datetime | datetime64[date | int | None] | float | floating[Any] | int | integer[Any] | str | timedelta | timedelta64[int | timedelta | None]` in function `pandas.core.dtypes.cast.maybe_box_datetimelike` [bad-argument-type]
|
|
ERROR pandas/core/indexes/interval.py:1397:29-35: 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:1435:39-57: `+` is not supported between `Timedelta` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1435:39-57: `+` is not supported between `Timestamp` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1435:39-57: `+` is not supported between `bytes` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1435:39-57: `+` is not supported between `date` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1435:39-57: `+` is not supported between `datetime` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1435:39-57: `+` is not supported between `datetime64[date | int | None]` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1435:39-57: `+` is not supported between `str` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1435:39-57: `+` is not supported between `timedelta` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1435:39-57: `+` is not supported between `timedelta64[int | timedelta | None]` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1435:46-56: `*` is not supported between `Number` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1435:46-56: `*` is not supported between `None` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Interval[bool]` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Interval[bool]` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Interval[bool]` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Interval[float]` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Interval[float]` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Interval[float]` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Interval[int]` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Interval[int]` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Interval[int]` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Interval[Unknown]` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Interval[Unknown]` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Interval[Unknown]` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Timedelta` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Timedelta` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Timedelta` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Timestamp` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Timestamp` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `Timestamp` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `complex` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `complex` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `complex` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `complex128` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `complex128` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `complex128` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `complexfloating[Any, Unknown]` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `complexfloating[Any, Unknown]` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `complexfloating[Any, Unknown]` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `date` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `date` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `date` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `datetime` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `datetime` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `datetime` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `datetime64[date | int | None]` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `datetime64[date | int | None]` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `datetime64[date | int | None]` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `float` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `float` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `float` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `floating[Any]` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `floating[Any]` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `floating[Any]` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `int` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `int` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `int` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `timedelta` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `timedelta` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `timedelta` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `timedelta64[int | timedelta | None]` and `Number` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `timedelta64[int | timedelta | None]` and `number[Any, complex | float | int]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:31-52: `//` is not supported between `timedelta64[int | timedelta | None]` and `None` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Interval[Unknown]` and `Interval[Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Interval[Unknown]` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Interval[Unknown]` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Interval[Unknown]` and `complex` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Interval[Unknown]` and `complexfloating[Any, Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Interval[Unknown]` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Interval[Unknown]` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Interval[Unknown]` and `datetime64[date | int | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Interval[Unknown]` and `floating[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Interval[Unknown]` and `integer[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Interval[Unknown]` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Interval[Unknown]` and `timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Interval[Unknown]` and `timedelta64[int | timedelta | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `bool` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `complex` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `complexfloating[Any, Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `datetime64[date | int | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `floating[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `int` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `integer[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timedelta` and `timedelta64[int | timedelta | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timestamp` and `Interval[Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timestamp` and `bool` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timestamp` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timestamp` and `complex` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timestamp` and `complexfloating[Any, Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timestamp` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timestamp` and `datetime64[date | int | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timestamp` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timestamp` and `floating[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timestamp` and `int` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timestamp` and `integer[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `Timestamp` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bool` and `Timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bool` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bool` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bool` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bool` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bool` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bool` and `timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `Interval[Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `Timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `bool` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `complex` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `complexfloating[Any, Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `datetime64[date | int | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `floating[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `int` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `integer[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `bytes` and `timedelta64[int | timedelta | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complex` and `Interval[Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complex` and `Timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complex` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complex` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complex` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complex` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complex` and `datetime64[date | int | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complex` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complex` and `timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complex` and `timedelta64[int | timedelta | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complexfloating[Any, Unknown]` and `Interval[Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complexfloating[Any, Unknown]` and `Timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complexfloating[Any, Unknown]` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complexfloating[Any, Unknown]` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complexfloating[Any, Unknown]` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complexfloating[Any, Unknown]` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complexfloating[Any, Unknown]` and `datetime64[date | int | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complexfloating[Any, Unknown]` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complexfloating[Any, Unknown]` and `timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `complexfloating[Any, Unknown]` and `timedelta64[int | timedelta | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `date` and `Interval[Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `date` and `bool` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `date` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `date` and `complex` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `date` and `complexfloating[Any, Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `date` and `datetime64[date | int | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `date` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `date` and `floating[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `date` and `int` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `date` and `integer[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `date` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `date` and `timedelta64[int | timedelta | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime` and `Interval[Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime` and `bool` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime` and `complex` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime` and `complexfloating[Any, Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime` and `datetime64[date | int | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime` and `floating[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime` and `int` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime` and `integer[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime` and `timedelta64[int | timedelta | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime64[date | int | None]` and `Interval[Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime64[date | int | None]` and `Timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime64[date | int | None]` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime64[date | int | None]` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime64[date | int | None]` and `complex` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime64[date | int | None]` and `complexfloating[Any, Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime64[date | int | None]` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime64[date | int | None]` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime64[date | int | None]` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime64[date | int | None]` and `floating[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime64[date | int | None]` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `datetime64[date | int | None]` and `timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `float` and `Timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `float` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `float` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `float` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `float` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `float` and `datetime64[date | int | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `float` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `float` and `timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `float` and `timedelta64[int | timedelta | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `floating[Any]` and `Interval[Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `floating[Any]` and `Timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `floating[Any]` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `floating[Any]` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `floating[Any]` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `floating[Any]` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `floating[Any]` and `datetime64[date | int | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `floating[Any]` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `floating[Any]` and `timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `floating[Any]` and `timedelta64[int | timedelta | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `int` and `Timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `int` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `int` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `int` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `int` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `int` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `int` and `timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `integer[Any]` and `Interval[Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `integer[Any]` and `Timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `integer[Any]` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `integer[Any]` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `integer[Any]` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `integer[Any]` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `integer[Any]` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `integer[Any]` and `timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `Interval[Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `Timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `bool` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `complex` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `complexfloating[Any, Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `datetime64[date | int | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `floating[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `int` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `integer[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `str` and `timedelta64[int | timedelta | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `Interval[Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `bool` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `complex` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `complexfloating[Any, Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `datetime64[date | int | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `floating[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `int` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `integer[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta` and `timedelta64[int | timedelta | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta64[int | timedelta | None]` and `Interval[Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta64[int | timedelta | None]` and `Timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta64[int | timedelta | None]` and `Timestamp` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta64[int | timedelta | None]` and `bytes` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta64[int | timedelta | None]` and `complex` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta64[int | timedelta | None]` and `complexfloating[Any, Unknown]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta64[int | timedelta | None]` and `date` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta64[int | timedelta | None]` and `datetime` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta64[int | timedelta | None]` and `datetime64[date | int | None]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta64[int | timedelta | None]` and `float` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta64[int | timedelta | None]` and `floating[Any]` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta64[int | timedelta | None]` and `str` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1440:32-43: `-` is not supported between `timedelta64[int | timedelta | None]` and `timedelta` [unsupported-operation]
|
|
ERROR pandas/core/indexes/interval.py:1446:33-54: No matching overload found for function `numpy._core.function_base.linspace` called with arguments: (Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating[Any, Unknown] | date | datetime | datetime64[date | int | None] | float | floating[Any] | int | integer[Any] | str | timedelta | timedelta64[int | timedelta | None], Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating[Any, Unknown] | date | datetime | datetime64[date | int | None] | float | floating[Any] | int | integer[Any] | str | timedelta | timedelta64[int | timedelta | None], int) [no-matching-overload]
|
|
ERROR pandas/core/indexes/multi.py:321:9-22: Object of class `object` has no attribute `_cache` [missing-attribute]
|
|
ERROR pandas/core/indexes/multi.py:324:9-27: Object of class `object` has no attribute `_set_levels` [missing-attribute]
|
|
ERROR pandas/core/indexes/multi.py:325:9-26: Object of class `object` has no attribute `_set_codes` [missing-attribute]
|
|
ERROR pandas/core/indexes/multi.py:327:9-22: Object of class `object` has no attribute `_names` [missing-attribute]
|
|
ERROR pandas/core/indexes/multi.py:330:13-30: Object of class `object` has no attribute `_set_names` [missing-attribute]
|
|
ERROR pandas/core/indexes/multi.py:333:13-29: Object of class `object` has no attribute `sortorder` [missing-attribute]
|
|
ERROR pandas/core/indexes/multi.py:335:13-29: Object of class `object` has no attribute `sortorder` [missing-attribute]
|
|
ERROR pandas/core/indexes/multi.py:338:25-49: Object of class `object` has no attribute `_verify_integrity` [missing-attribute]
|
|
ERROR pandas/core/indexes/multi.py:339:13-26: Object of class `object` has no attribute `_codes` [missing-attribute]
|
|
ERROR pandas/core/indexes/multi.py:341:9-31: Object of class `object` has no attribute `_reset_identity` [missing-attribute]
|
|
ERROR pandas/core/indexes/multi.py:342:9-27: Object of class `object` has no attribute `_references` [missing-attribute]
|
|
ERROR pandas/core/indexes/multi.py:344:16-22: Returned type `object` is not assignable to declared return type `Self@MultiIndex` [bad-return]
|
|
ERROR pandas/core/indexes/multi.py:1589:9-19: Class member `MultiIndex._set_names` overrides parent class `Index` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/indexes/multi.py:1616:21-28: No matching overload found for function `list.__init__` called with arguments: (Unknown | None) [no-matching-overload]
|
|
ERROR pandas/core/indexes/multi.py:1707:16-21: Returned type `int | integer[Any] | Unknown` is not assignable to declared return type `int` [bad-return]
|
|
ERROR pandas/core/indexes/multi.py:2859:9-18: Class member `MultiIndex.sortlevel` overrides parent class `Index` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/indexes/multi.py:3184:9-3223:75: `Literal[0] | ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]] | signedinteger[_NBitIntP] | Any` is not assignable to `int` (caused by inconsistent types when breaking cycles) [bad-assignment]
|
|
ERROR pandas/core/indexes/multi.py:3434:50-55: 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:3539:17-3568:43: `ndarray[tuple[int], dtype[Any]] | Unknown | None` is not assignable to `None` (caused by inconsistent types when breaking cycles) [bad-assignment]
|
|
ERROR pandas/core/indexes/multi.py:4048:22-66: 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:4090:20-38: Returned type `Index` is not assignable to declared return type `MultiIndex` [bad-return]
|
|
ERROR pandas/core/indexes/multi.py:4158:9-29: Class member `MultiIndex._validate_fill_value` overrides parent class `Index` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/indexes/period.py:165:5-10: Class member `PeriodIndex._data` overrides parent class `DatetimeIndexOpsMixin` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/indexes/period.py:243:34-38: Argument `Unknown | Self@PeriodIndex | None` is not assignable to parameter `data` with type `ExtensionArray | Index | Sequence[Period | str | None] | Series | ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas.core.arrays.period.period_array` [bad-argument-type]
|
|
ERROR pandas/core/indexes/period.py:518:16-22: Returned type `NaTType | Period` is not assignable to declared return type `Period` [bad-return]
|
|
ERROR pandas/core/indexes/period.py:530:17-26: Object of class `NaTType` has no attribute `asfreq` [missing-attribute]
|
|
ERROR pandas/core/indexes/period.py:530:52-61: Object of class `NaTType` has no attribute `asfreq` [missing-attribute]
|
|
ERROR pandas/core/indexes/range.py:246:9-22: Object of class `object` has no attribute `_range` [missing-attribute]
|
|
ERROR pandas/core/indexes/range.py:247:9-21: Object of class `object` has no attribute `_name` [missing-attribute]
|
|
ERROR pandas/core/indexes/range.py:248:9-22: Object of class `object` has no attribute `_cache` [missing-attribute]
|
|
ERROR pandas/core/indexes/range.py:249:9-31: Object of class `object` has no attribute `_reset_identity` [missing-attribute]
|
|
ERROR pandas/core/indexes/range.py:250:9-27: Object of class `object` has no attribute `_references` [missing-attribute]
|
|
ERROR pandas/core/indexes/range.py:251:16-22: Returned type `object` is not assignable to declared return type `Self@RangeIndex` [bad-return]
|
|
ERROR pandas/core/indexes/range.py:779:9-20: Class member `RangeIndex.sort_values` overrides parent class `Index` in an inconsistent manner [bad-override]
|
|
WARN pandas/core/indexes/range.py:937:25-30: Identity comparison `False is False` is always True [unnecessary-comparison]
|
|
ERROR pandas/core/indexes/range.py:1129:24-28: `lidx` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/range.py:1129:62-66: `lidx` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/range.py:1130:24-28: `ridx` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/range.py:1130:62-66: `ridx` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/range.py:1131:16-26: `join_index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/range.py:1184:9-16: Class member `RangeIndex._concat` overrides parent class `Index` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/indexes/range.py:1305:23-35: Object of class `object` has no attribute `to_numpy` [missing-attribute]
|
|
ERROR pandas/core/indexes/range.py:1582:12-16: `flip` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/indexes/timedeltas.py:134:5-10: Class member `TimedeltaIndex._data` overrides parent class `DatetimeTimedeltaMixin` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/indexing.py:1430:23-28: No matching overload found for function `list.__init__` called with arguments: (object) [no-matching-overload]
|
|
ERROR pandas/core/indexing.py:1637:31-42: Object of class `ndarray` has no attribute `_reduce` [missing-attribute]
|
|
ERROR pandas/core/indexing.py:1638:31-42: Object of class `ndarray` has no attribute `_reduce` [missing-attribute]
|
|
ERROR pandas/core/indexing.py:2019:60-72: Cannot index into `Hashable` [bad-index]
|
|
ERROR pandas/core/indexing.py:2019:60-72: Cannot index into `slice[Any, Any, Any]` [bad-index]
|
|
ERROR pandas/core/indexing.py:2033:45-55: Argument `Hashable | slice[Any, Any, Any] | Unknown` is not assignable to parameter `loc` with type `int` in function `_iLocIndexer._setitem_single_column` [bad-argument-type]
|
|
ERROR pandas/core/indexing.py:2277:43-53: Argument `Any | None` is not assignable to parameter `dtype` with type `dtype[Any]` in function `pandas.core.dtypes.cast.maybe_promote` [bad-argument-type]
|
|
ERROR pandas/core/interchange/column.py:174:17-31: Object of class `str` has no attribute `itemsize` [missing-attribute]
|
|
ERROR pandas/core/internals/__init__.py:9:5-12: Name `Block` is listed in `__all__` but is not defined in the module [missing-module-attribute]
|
|
ERROR pandas/core/internals/__init__.py:11:5-22: Name `DatetimeTZBlock` is listed in `__all__` but is not defined in the module [missing-module-attribute]
|
|
ERROR pandas/core/internals/__init__.py:12:5-21: Name `ExtensionBlock` is listed in `__all__` but is not defined in the module [missing-module-attribute]
|
|
ERROR pandas/core/internals/api.py:82:5-11: Class member `_DatetimeTZBlock.values` overrides parent class `DatetimeLikeBlock` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/internals/api.py:113:57-61: Argument `Unknown | None` is not assignable to parameter `ndim` with type `int` in function `pandas.core.internals.blocks.extract_pandas_array` [bad-argument-type]
|
|
ERROR pandas/core/internals/api.py:133:13-19: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[datetime64[date | int | None]]]` in function `pandas.core.arrays.datetimes.DatetimeArray._simple_new` [bad-argument-type]
|
|
ERROR pandas/core/internals/blocks.py:509:47-512:10: No matching overload found for function `pandas._libs.lib.maybe_convert_objects` called with arguments: (ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Any, convert_non_numeric=Literal[True]) [no-matching-overload]
|
|
ERROR pandas/core/internals/blocks.py:1204:29-46: Cannot index into `ExtensionArray` [bad-index]
|
|
ERROR pandas/core/internals/blocks.py:1339:13-17: `mask` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/internals/blocks.py:1339:18-22: `mask` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/internals/blocks.py:1342:32-36: `mask` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/internals/blocks.py:1344:38-42: `mask` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/internals/blocks.py:1614:5-11: Class member `EABackedBlock.values` overrides parent class `Block` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/internals/blocks.py:2136:5-11: Class member `NumpyBlock.values` overrides parent class `Block` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/internals/blocks.py:2166:5-11: Class member `NDArrayBackedExtensionBlock.values` overrides parent class `EABackedBlock` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/internals/blocks.py:2180:5-11: Class member `DatetimeLikeBlock.values` overrides parent class `NDArrayBackedExtensionBlock` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/internals/construction.py:243:22-36: Object of class `ExtensionArray` has no attribute `reshape` [missing-attribute]
|
|
ERROR pandas/core/internals/construction.py:254:29-35: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Unknown` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `_ensure_2d` [bad-argument-type]
|
|
ERROR pandas/core/internals/construction.py:286:39-45: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]] | Unknown` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `_check_values_indices_shape_match` [bad-argument-type]
|
|
ERROR pandas/core/internals/construction.py:628:34-39: `index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/internals/construction.py:631:35-40: `index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/internals/construction.py:637:25-30: `index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/internals/construction.py:768:24-39: Returned type `tuple[list[ndarray[tuple[Any, ...], dtype[Any]]], Index]` is not assignable to declared return type `tuple[list[ArrayLike], Index]` [bad-return]
|
|
ERROR pandas/core/internals/construction.py:776:16-31: Returned type `tuple[list[ndarray[tuple[Any, ...], dtype[Any]]], Index]` is not assignable to declared return type `tuple[list[ArrayLike], Index]` [bad-return]
|
|
ERROR pandas/core/internals/construction.py:787:31-35: Argument `list[tuple[@_, ...]]` 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:829:31-66: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `object` with type `_NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]]` in function `list.append` [bad-argument-type]
|
|
ERROR pandas/core/internals/construction.py:992:52-1000:22: No matching overload found for function `pandas._libs.lib.maybe_convert_objects` called with arguments: (ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]], convert_numeric=Literal[False], convert_non_numeric=Literal[True], convert_to_nullable_dtype=bool, dtype_if_all_nat=dtype[datetime64[date | int | None]]) [no-matching-overload]
|
|
ERROR pandas/core/internals/construction.py:1021:46-49: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `value` with type `list[Unknown] | ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas.core.dtypes.cast.maybe_cast_to_datetime` [bad-argument-type]
|
|
ERROR pandas/core/internals/managers.py:572:30-45: Cannot index into `ExtensionArray` [bad-index]
|
|
ERROR pandas/core/internals/managers.py:2278:9-12: `mgr` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/internals/managers.py:2279:12-15: `mgr` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/internals/managers.py:2305:9-12: `mgr` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/internals/managers.py:2306:12-15: `mgr` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/methods/describe.py:127:5-8: Class member `SeriesDescriber.obj` overrides parent class `NDFrameDescriberAbstract` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/methods/describe.py:149:5-8: Class member `DataFrameDescriber.obj` overrides parent class `NDFrameDescriberAbstract` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/methods/to_dict.py:76:5-12: Overload return type `dict[Unknown, Unknown]` is not assignable to implementation return type `list[type[dict[Unknown, Unknown]]] | type[dict[Unknown, Unknown]]` [inconsistent-overload]
|
|
ERROR pandas/core/methods/to_dict.py:86:5-12: Overload return type `list[dict[Unknown, Unknown]]` is not assignable to implementation return type `list[type[dict[Unknown, Unknown]]] | type[dict[Unknown, Unknown]]` [inconsistent-overload]
|
|
ERROR pandas/core/missing.py:269:26-32: `idxpos` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/missing.py:608:24-28: 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:608:41-51: Argument `Unknown | None` is not assignable to parameter `fill_value` with type `Literal['extrapolate'] | SequenceND[_CanArray[floating_co] | float] | _CanArrayND[floating_co] | numpy.bool[builtins.bool] | float | floating[Any] | integer[Any] | tuple[SequenceND[_CanArray[floating_co] | float] | _CanArrayND[floating_co] | numpy.bool[builtins.bool] | float | floating[Any] | integer[Any], SequenceND[_CanArray[floating_co] | float] | _CanArrayND[floating_co] | numpy.bool[builtins.bool] | float | floating[Any] | integer[Any]]` in function `scipy.interpolate._interpolate.interp1d.__init__` [bad-argument-type]
|
|
ERROR pandas/core/missing.py:613:28-38: `<=` is not supported between `None` and `Literal[0]` [unsupported-operation]
|
|
ERROR pandas/core/missing.py:617:53-58: 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:140:30-37: Expected a callable, got `None` [not-callable]
|
|
ERROR pandas/core/nanops.py:1525:12-24: Object of class `int` has no attribute `astype` [missing-attribute]
|
|
ERROR pandas/core/ops/array_ops.py:126:48-57: Argument `ExtensionArray | ndarray[tuple[int], dtype[object_]] | ndarray[tuple[int], dtype[Any]] | 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:340:44-51: Argument `ndarray[tuple[Any, ...], dtype[Any]] | object` is not assignable to parameter `right` with type `ExtensionArray | Interval[Unknown] | Timedelta | Timestamp | bool | bytes | complex | complexfloating[Any, Unknown] | date | datetime | datetime64[date | int | None] | float | floating[Any] | int | integer[Any] | list[Unknown] | ndarray[tuple[Any, ...], dtype[Any]] | str | timedelta | timedelta64[int | timedelta | None]` in function `pandas.core.ops.invalid.invalid_comparison` [bad-argument-type]
|
|
ERROR pandas/core/ops/mask_ops.py:79:12-24: Returned type `tuple[ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]] | ndarray[tuple[Any, ...], dtype[Any]] | Unknown, ndarray[tuple[Any, ...], dtype[Any]] | type[Unknown] | Unknown]` is not assignable to declared return type `tuple[ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]], ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]]` [bad-return]
|
|
ERROR pandas/core/resample.py:141:5-13: Class member `Resampler._grouper` overrides parent class `BaseGroupBy` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/resample.py:341:28-51: No matching overload found for function `pandas.core.groupby.groupby.BaseGroupBy.pipe` called with arguments: (((Self@Resampler, ParamSpec(P)) -> T) | tuple[(...) -> T, str], *tuple[Any, ...], **dict[str, Any]) [no-matching-overload]
|
|
ERROR pandas/core/resample.py:442:45-49: Argument `Unknown | None` is not assignable to parameter `func` with type `((...) -> Unknown) | MutableMapping[Hashable, ((...) -> Unknown) | list[AggFuncTypeBase] | str] | list[AggFuncTypeBase] | str` in function `pandas.core.apply.ResamplerWindowApply.__init__` [bad-argument-type]
|
|
ERROR pandas/core/resample.py:1048:55-66: `final_index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/resample.py:1051:37-48: `final_index` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/resample.py:2062:5-7: Class member `DatetimeIndexResampler.ax` overrides parent class `Resampler` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/resample.py:2110:9-18: Class member `DatetimeIndexResampler._upsample` overrides parent class `Resampler` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/resample.py:2477:31-48: `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:2574:31-40: 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:2581:13-22: 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:2585:20-31: 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:2637:12-26: Object of class `NoneType` has no attribute `name` [missing-attribute]
|
|
ERROR pandas/core/resample.py:2637:52-72: Object of class `object` has no attribute `split` [missing-attribute]
|
|
ERROR pandas/core/resample.py:2757:21-32: Object of class `NoneType` has no attribute `n` [missing-attribute]
|
|
ERROR pandas/core/resample.py:2774:24-35: 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:2802:74-83: Argument `Literal[0] | numpy.bool[builtins.bool]` is not assignable to parameter `nat_count` with type `int` in function `_insert_nat_bin` [bad-argument-type]
|
|
ERROR pandas/core/resample.py:2893:22-58: `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:2909:21-52: `NaTType | Timestamp` is not assignable to variable `first` with type `Timestamp` [bad-assignment]
|
|
ERROR pandas/core/resample.py:2911:21-44: `NaTType | Timestamp` is not assignable to variable `first` with type `Timestamp` [bad-assignment]
|
|
ERROR pandas/core/resample.py:2913:16-38: `NaTType | Timestamp` is not assignable to variable `last` with type `Timestamp` [bad-assignment]
|
|
ERROR pandas/core/resample.py:3025:31-52: `*` is not supported between `signedinteger[_64Bit]` and `Tick` [unsupported-operation]
|
|
ERROR pandas/core/resample.py:3073:12-28: Returned type `tuple[NaTType | Timestamp, NaTType | Timestamp]` is not assignable to declared return type `tuple[Timestamp, Timestamp]` [bad-return]
|
|
ERROR pandas/core/resample.py:3147:12-21: Returned type `DatetimeIndex | PeriodIndex | TimedeltaIndex` is not assignable to declared return type `FreqIndexT` [bad-return]
|
|
ERROR pandas/core/reshape/melt.py:350:25-49: Cannot set item in `dict[Unknown, ndarray[tuple[Any, ...], dtype[Any]]]` [unsupported-operation]
|
|
ERROR pandas/core/reshape/merge.py:131:22-29: Cannot set item in `dict[type[bool] | type[complex128] | type[float64] | type[object_] | complex64 | float32 | int16 | int32 | int64 | int8 | longlong | uint16 | uint32 | uint64 | 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:133:22-29: Cannot set item in `dict[type[bool] | type[complex128] | type[float64] | type[object_] | complex64 | float32 | int16 | int32 | int64 | int8 | longlong | uint16 | uint32 | uint64 | 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:137:22-30: Cannot set item in `dict[type[bool] | type[complex128] | type[float64] | type[object_] | complex64 | float32 | int16 | int32 | int64 | int8 | longlong | uint16 | uint32 | uint64 | 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:139:22-30: Cannot set item in `dict[type[bool] | type[complex128] | type[float64] | type[object_] | complex64 | float32 | int16 | int32 | int64 | int8 | longlong | uint16 | uint32 | uint64 | 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:1199:35-65: Object of class `int` has no attribute `astype` [missing-attribute]
|
|
ERROR pandas/core/reshape/merge.py:1202:37-69: Object of class `int` has no attribute `astype` [missing-attribute]
|
|
ERROR pandas/core/reshape/merge.py:1285:9-1389:66: `Literal[False] | Unknown | None` is not assignable to `None` (caused by inconsistent types when breaking cycles) [bad-assignment]
|
|
ERROR pandas/core/reshape/merge.py:2152:12-16: `lidx` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/reshape/merge.py:2152:18-22: `ridx` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/reshape/merge.py:2434:41-54: Argument `list[Unknown | None] | Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
|
|
ERROR pandas/core/reshape/merge.py:2438:24-54: `+` is not supported between `None` and `list[Unknown | None]` [unsupported-operation]
|
|
ERROR pandas/core/reshape/merge.py:2579:32-63: 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:2920:32-39: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas._libs.hashtable.Factorizer.factorize` [bad-argument-type]
|
|
ERROR pandas/core/reshape/merge.py:2922:48-55: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas._libs.hashtable.Factorizer.hash_inner_join` [bad-argument-type]
|
|
ERROR pandas/core/reshape/merge.py:2925:36-43: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas._libs.hashtable.Factorizer.factorize` [bad-argument-type]
|
|
ERROR pandas/core/reshape/merge.py:2927:32-39: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas._libs.hashtable.Factorizer.factorize` [bad-argument-type]
|
|
ERROR pandas/core/reshape/merge.py:2928:32-39: Argument `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `pandas._libs.hashtable.Factorizer.factorize` [bad-argument-type]
|
|
ERROR pandas/core/reshape/pivot.py:403:30-42: `values_multi` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/reshape/pivot.py:592:25-34: 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]
|
|
WARN pandas/core/reshape/pivot.py:1164:21-25: Identity comparison `True is True` is always True [unnecessary-comparison]
|
|
ERROR pandas/core/reshape/reshape.py:513:13-520:65: `DataFrame | Series` is not assignable to `DataFrame` (caused by inconsistent types when breaking cycles) [bad-assignment]
|
|
ERROR pandas/core/reshape/reshape.py:742:9-745:66: `DataFrame | Series` is not assignable to `DataFrame` (caused by inconsistent types when breaking cycles) [bad-assignment]
|
|
ERROR pandas/core/reshape/reshape.py:756:9-763:62: `DataFrame | Series` is not assignable to `DataFrame` (caused by inconsistent types when breaking cycles) [bad-assignment]
|
|
ERROR pandas/core/reshape/tile.py:542:31-48: 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:353:5-12: Class member `Series.hasnans` overrides parent class `IndexOpsMixin` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/series.py:358:5-9: Class member `Series._mgr` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/series.py:446:20-30: Argument `dtype[Any]` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
|
|
ERROR pandas/core/series.py:939:9-20: Class member `Series.__getitem__` overrides parent class `NDFrame` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/core/series.py:1561:26-54: 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:1740:9-16: Overload return type `dict[Unknown, Unknown]` is not assignable to implementation return type `type[dict[Unknown, Unknown]]` [inconsistent-overload]
|
|
ERROR pandas/core/series.py:4642:32-36: Argument `dict[str, Unknown] | Unknown` is not assignable to parameter `func` with type `((...) -> Unknown) | MutableMapping[Hashable, ((...) -> Unknown) | list[AggFuncTypeBase] | str] | list[AggFuncTypeBase] | str` in function `pandas.core.apply.SeriesApply.__init__` [bad-argument-type]
|
|
ERROR pandas/core/series.py:5073:35-5078:14: 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:5359:9-20: Class member `Series.rename_axis` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/series.py:6181:16-34: Returned type `NDFrame` is not assignable to declared return type `Series` [bad-return]
|
|
ERROR pandas/core/series.py:6537:5-22: Class member `Series._info_axis_number` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/series.py:6538:5-20: Class member `Series._info_axis_name` overrides parent class `NDFrame` in an inconsistent manner [bad-override]
|
|
ERROR pandas/core/series.py:8014:16-67: Returned type `NDFrame` is not assignable to declared return type `Self@Series` [bad-return]
|
|
ERROR pandas/core/series.py:8018:16-67: Returned type `NDFrame` is not assignable to declared return type `Self@Series` [bad-return]
|
|
ERROR pandas/core/series.py:8022:16-67: Returned type `NDFrame` is not assignable to declared return type `Self@Series` [bad-return]
|
|
ERROR pandas/core/series.py:8026:16-68: Returned type `NDFrame` is not assignable to declared return type `Self@Series` [bad-return]
|
|
ERROR pandas/core/sorting.py:294:29-33: `lift` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/sorting.py:295:46-50: `lift` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/sorting.py:367:23-28: Argument `ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `object` with type `_NestedSequence[bytes | complex | str] | bytes | complex | str` in function `list.append` [bad-argument-type]
|
|
ERROR pandas/core/sorting.py:428:16-432:10: Returned type `Series | ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]] | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to declared return type `ndarray[tuple[Any, ...], dtype[signedinteger[_NBitIntP]]]` [bad-return]
|
|
ERROR pandas/core/sorting.py:429:13-22: Unexpected keyword argument `ascending` in function `pandas.core.series.Series.argsort` [unexpected-keyword]
|
|
ERROR pandas/core/sorting.py:431:13-24: Unexpected keyword argument `na_position` in function `pandas.core.series.Series.argsort` [unexpected-keyword]
|
|
ERROR pandas/core/strings/accessor.py:215:27-37: `Index` is not assignable to attribute `_index` with type `None` [bad-assignment]
|
|
ERROR pandas/core/strings/accessor.py:216:26-35: `Hashable` is not assignable to attribute `_name` with type `None` [bad-assignment]
|
|
ERROR pandas/core/strings/accessor.py:310:33-43: Module `pyarrow.compute` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/core/strings/accessor.py:310:33-61: No attribute `list_value_length` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/strings/accessor.py:311:27-37: Module `pyarrow.compute` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/core/strings/accessor.py:311:27-41: No attribute `max` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/strings/accessor.py:312:27-37: Module `pyarrow.compute` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/core/strings/accessor.py:312:27-41: No attribute `min` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/strings/accessor.py:321:25-35: Module `pyarrow.compute` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/core/strings/accessor.py:321:25-46: No attribute `list_slice` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/strings/accessor.py:331:21-31: Module `pyarrow.compute` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/core/strings/accessor.py:331:21-44: No attribute `list_flatten` in module `pyarrow.compute` [missing-attribute]
|
|
ERROR pandas/core/strings/accessor.py:923:21-48: Object of class `str` has no attribute `categories` [missing-attribute]
|
|
ERROR pandas/core/strings/accessor.py:1046:21-48: Object of class `str` has no attribute `categories` [missing-attribute]
|
|
ERROR pandas/core/strings/accessor.py:1066:21-48: Object of class `str` has no attribute `categories` [missing-attribute]
|
|
WARN pandas/core/strings/accessor.py:1647:30-34: Identity comparison `False is None` is always False [unnecessary-comparison]
|
|
ERROR pandas/core/strings/accessor.py:3894:12-18: `result` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/strings/object_array.py:229:20-45: Object of class `type` has no attribute `_from_sequence` [missing-attribute]
|
|
WARN pandas/core/tools/datetimes.py:533:27-65: Redundant cast: `int` is the same type as `int` [redundant-cast]
|
|
ERROR pandas/core/tools/datetimes.py:573:14-41: Object of class `NaTType` has no attribute `to_julian_date` [missing-attribute]
|
|
ERROR pandas/core/tools/datetimes.py:619:19-55: `//` is not supported between `Timedelta` and `NaTType` [unsupported-operation]
|
|
ERROR pandas/core/tools/datetimes.py:1056:45-49: `argc` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/tools/datetimes.py:1058:39-43: `argc` may be uninitialized [unbound-name]
|
|
ERROR pandas/core/tools/datetimes.py:1062:22-34: `bool` is not assignable to variable `result` with type `Index | NaTType | Series | Timestamp` [bad-assignment]
|
|
ERROR pandas/core/tools/numeric.py:225:16-27: Object of class `ndarray` has no attribute `isna` [missing-attribute]
|
|
ERROR pandas/core/tools/numeric.py:226:18-31: Object of class `ndarray` has no attribute `dropna` [missing-attribute]
|
|
ERROR pandas/core/tools/numeric.py:262:67-75: No matching overload found for function `numpy._core.fromnumeric.amin` called with arguments: (ExtensionArray | ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]] | ndarray[tuple[Any, ...], dtype[Any]] | Unknown) [no-matching-overload]
|
|
ERROR pandas/core/tools/numeric.py:278:38-59: Object of class `ExtensionDtype` has no attribute `itemsize` [missing-attribute]
|
|
ERROR pandas/core/tools/numeric.py:294:24-56: No matching overload found for function `numpy._core.multiarray._ConstructorEmpty.__call__` called with arguments: (tuple[Any, ...], dtype=ExtensionDtype | dtype[signedinteger[_64Bit]] | dtype[Any] | Unknown) [no-matching-overload]
|
|
ERROR pandas/core/util/numba_.py:79:8-23: Module `numba.extending` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/core/util/numba_.py:89:22-37: Module `numba.extending` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
WARN pandas/core/window/common.py:54:30-34: Identity comparison `True is True` is always True [unnecessary-comparison]
|
|
ERROR pandas/core/window/ewm.py:913:47-55: 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/expanding.py:419:28-51: No matching overload found for function `pandas.core.window.rolling.RollingAndExpandingMixin.pipe` called with arguments: (((Self@Expanding, ParamSpec(P)) -> T) | tuple[(...) -> T, str], *tuple[Any, ...], **dict[str, Any]) [no-matching-overload]
|
|
ERROR pandas/core/window/numba_.py:67:18-43: Type `prange` is not iterable [not-iterable]
|
|
ERROR pandas/core/window/numba_.py:131:18-42: Type `prange` is not iterable [not-iterable]
|
|
ERROR pandas/core/window/numba_.py:229:18-43: Type `prange` is not iterable [not-iterable]
|
|
ERROR pandas/core/window/numba_.py:257:18-46: Type `prange` is not iterable [not-iterable]
|
|
ERROR pandas/core/window/numba_.py:323:22-44: Type `prange` is not iterable [not-iterable]
|
|
ERROR pandas/core/window/online.py:63:22-44: Type `prange` is not iterable [not-iterable]
|
|
ERROR pandas/core/window/rolling.py:419:47-58: 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:1288:45-49: Argument `Unknown | None` is not assignable to parameter `func` with type `((...) -> Unknown) | MutableMapping[Hashable, ((...) -> Unknown) | list[AggFuncTypeBase] | str] | list[AggFuncTypeBase] | str` in function `pandas.core.apply.ResamplerWindowApply.__init__` [bad-argument-type]
|
|
ERROR pandas/core/window/rolling.py:1291:22-26: Expected a callable, got `None` [not-callable]
|
|
ERROR pandas/core/window/rolling.py:1616:24-53: No matching overload found for function `pandas.core.common.pipe` called with arguments: (Self@RollingAndExpandingMixin, ((Self@RollingAndExpandingMixin, ParamSpec(P)) -> T) | tuple[(...) -> T, str], *tuple[Any, ...], **dict[str, Any]) [no-matching-overload]
|
|
ERROR pandas/core/window/rolling.py:2004:37-79: `int | signedinteger[_64Bit]` is not assignable to attribute `_win_freq_i8` with type `int | None` [bad-assignment]
|
|
ERROR pandas/core/window/rolling.py:2347:28-51: No matching overload found for function `RollingAndExpandingMixin.pipe` called with arguments: (((Self@Rolling, ParamSpec(P)) -> T) | tuple[(...) -> T, str], *tuple[Any, ...], **dict[str, Any]) [no-matching-overload]
|
|
ERROR pandas/core/window/rolling.py:3494:25-31: 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: Could not find import of `qtpy.QtWidgets` [missing-import]
|
|
ERROR pandas/io/clipboard/__init__.py:147:13-49: Could not find import of `PyQt4.QtGui` [missing-import]
|
|
ERROR pandas/io/clipboard/__init__.py:155:14-27: Object of class `NoneType` has no attribute `clipboard`
|
|
Object of class `QCoreApplication` has no attribute `clipboard` [missing-attribute]
|
|
ERROR pandas/io/clipboard/__init__.py:159:14-27: Object of class `NoneType` has no attribute `clipboard`
|
|
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:560:20-26: Could not find import of `AppKit` [missing-import]
|
|
ERROR pandas/io/clipboard/__init__.py:561:20-30: Could not find import of `Foundation` [missing-import]
|
|
ERROR pandas/io/clipboard/__init__.py:582:20-24: Could not find import of `qtpy` [missing-import]
|
|
ERROR pandas/io/clipboard/__init__.py:589:28-33: Could not find import of `PyQt4` [missing-import]
|
|
ERROR pandas/io/common.py:437:16-51: Expected a type form, got instance of `tuple[Any, ...]` [not-a-type]
|
|
ERROR pandas/io/common.py:770:39-776:18: 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:874:24-30: Argument `BZ2File | 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:902:54-60: Argument `BZ2File | BaseBuffer | 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:909:33-39: Argument `BZ2File | BaseBuffer | 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:1150:13-1154:14: Argument `mmap` is not assignable to parameter `buffer` with type `BaseBuffer` in function `_IOWrapper.__init__` [bad-argument-type]
|
|
ERROR pandas/io/common.py:1161:12-42: 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:493:24-34: Argument `int | list[IntStrT] | str | None` is not assignable to parameter `sheet_name` with type `int | list[int] | list[str] | str | None` in function `ExcelFile.parse` [bad-argument-type]
|
|
ERROR pandas/io/excel/_base.py:496:23-32: Argument `Sequence[int] | int | str | None` is not assignable to parameter `index_col` with type `Sequence[int] | int | None` in function `ExcelFile.parse` [bad-argument-type]
|
|
ERROR pandas/io/excel/_base.py:520:12-16: Returned type `DataFrame | dict[int, DataFrame] | dict[str, DataFrame]` is not assignable to declared return type `DataFrame | dict[IntStrT, DataFrame]` [bad-return]
|
|
ERROR pandas/io/excel/_base.py:737:22-34: `list[int | list[str]]` is not assignable to variable `sheets` with type `list[int] | list[str]` [bad-assignment]
|
|
ERROR pandas/io/excel/_base.py:877:28-39: `control_row` may be uninitialized [unbound-name]
|
|
ERROR pandas/io/excel/_base.py:1174:16-35: Returned type `object` is not assignable to declared return type `Self@ExcelWriter` [bad-return]
|
|
ERROR pandas/io/excel/_base.py:1366:16-24: 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:1577:76-80: `xlrd` may be uninitialized [unbound-name]
|
|
ERROR pandas/io/excel/_calamine.py:100:9-23: Class member `CalamineReader.get_sheet_data` overrides parent class `BaseExcelReader` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/io/excel/_odfreader.py:102:9-23: Class member `ODFReader.get_sheet_data` overrides parent class `BaseExcelReader` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/io/excel/_odfreader.py:215:33-43: Object of class `NaTType` has no attribute `time` [missing-attribute]
|
|
ERROR pandas/io/excel/_odfreader.py:246:34-71: Argument `str` is not assignable to parameter `object` with type `LiteralString` in function `list.append` [bad-argument-type]
|
|
ERROR pandas/io/excel/_odfreader.py:248:30-55: Argument `str` is not assignable to parameter `object` with type `LiteralString` in function `list.append` [bad-argument-type]
|
|
ERROR pandas/io/excel/_odswriter.py:68:23-46: Expected a type form, got instance of `() -> Unknown` [not-a-type]
|
|
ERROR pandas/io/excel/_openpyxl.py:614:9-23: Class member `OpenpyxlReader.get_sheet_data` overrides parent class `BaseExcelReader` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/io/excel/_pyxlsb.py:97:9-23: Class member `PyxlsbReader.get_sheet_data` overrides parent class `BaseExcelReader` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/io/excel/_xlrd.py:79:9-23: Class member `XlrdReader.get_sheet_data` overrides parent class `BaseExcelReader` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/io/formats/excel.py:252:21-24: 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:253:16-19: 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]
|
|
WARN pandas/io/formats/format.py:237:28-43: Redundant cast: `int` is the same type as `int` [redundant-cast]
|
|
WARN pandas/io/formats/format.py:283:58-62: Identity comparison `True is not None` is always True [unnecessary-comparison]
|
|
ERROR pandas/io/formats/format.py:1052:1-16: Argument `(buf: PathLike[str] | WriteBuffer[str] | str | None, encoding: str | None = None) -> Generator[StringIO, None, None] | Generator[WriteBuffer[str], None, None]` is not assignable to parameter `func` with type `(buf: PathLike[str] | WriteBuffer[str] | str | None, encoding: str | None = None) -> Iterator[StringIO]` in function `contextlib.contextmanager` [bad-argument-type]
|
|
ERROR pandas/io/formats/format.py:1081:19-20: Type of yielded value `TextIOWrapper[_WrappedBuffer]` is not assignable to declared return type `StringIO` [invalid-yield]
|
|
ERROR pandas/io/formats/format.py:1159:9-15: Argument `DatetimeArray | ExtensionArray | TimedeltaArray | ndarray[tuple[Any, ...], dtype[Any]]` is not assignable to parameter `values` with type `DatetimeArray` in function `_Datetime64Formatter.__init__` [bad-argument-type]
|
|
ERROR pandas/io/formats/format.py:1159:9-15: Argument `DatetimeArray | ExtensionArray | TimedeltaArray | ndarray[tuple[Any, ...], dtype[Any]]` 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:1384:42-76: Argument `str` is not assignable to parameter `object` with type `_NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]]` in function `list.append` [bad-argument-type]
|
|
ERROR pandas/io/formats/format.py:1389:46-74: Argument `str` is not assignable to parameter `object` with type `_NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]]` in function `list.append` [bad-argument-type]
|
|
ERROR pandas/io/formats/format.py:1391:46-75: Argument `str` is not assignable to parameter `object` with type `_NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]]` in function `list.append` [bad-argument-type]
|
|
ERROR pandas/io/formats/format.py:1393:42-63: Argument `str` is not assignable to parameter `object` with type `_NestedSequence[_SupportsArray[dtype[Any]]] | _SupportsArray[dtype[Any]]` in function `list.append` [bad-argument-type]
|
|
ERROR pandas/io/formats/format.py:1495:5-11: Class member `_Datetime64Formatter.values` overrides parent class `_GenericArrayFormatter` in an inconsistent manner [bad-override]
|
|
ERROR pandas/io/formats/format.py:1522:5-11: Class member `_ExtensionArrayFormatter.values` overrides parent class `_GenericArrayFormatter` in an inconsistent manner [bad-override]
|
|
ERROR pandas/io/formats/format.py:1684:5-11: Class member `_Timedelta64Formatter.values` overrides parent class `_GenericArrayFormatter` in an inconsistent manner [bad-override]
|
|
ERROR pandas/io/formats/format.py:1729:18-30: 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:463:28-40: `index_values` may be uninitialized [unbound-name]
|
|
ERROR pandas/io/formats/info.py:457:14-18: Class member `DataFrameInfo.data` overrides parent class `_BaseInfo` in an inconsistent manner [bad-override]
|
|
ERROR pandas/io/formats/info.py:530:14-18: Class member `SeriesInfo.data` overrides parent class `_BaseInfo` in an inconsistent manner [bad-override]
|
|
ERROR pandas/io/formats/info.py:788:14-18: Class member `_DataFrameTableBuilder.info` overrides parent class `_TableBuilderAbstract` in an inconsistent manner [bad-override]
|
|
ERROR pandas/io/formats/info.py:956:14-18: Class member `_DataFrameTableBuilderVerbose.info` overrides parent class `_TableBuilderVerboseMixin` in an inconsistent manner [bad-override]
|
|
ERROR pandas/io/formats/info.py:1024:14-18: Class member `_SeriesTableBuilder.info` overrides parent class `_TableBuilderAbstract` in an inconsistent manner [bad-override]
|
|
ERROR pandas/io/formats/info.py:1070:14-18: Class member `_SeriesTableBuilderVerbose.info` overrides parent class `_TableBuilderVerboseMixin` in an inconsistent manner [bad-override]
|
|
ERROR pandas/io/formats/printing.py:439:20-36: `+` is not supported between `tuple[str, ...]` and `LiteralString` [unsupported-operation]
|
|
ERROR pandas/io/formats/printing.py:448:20-35: `+` is not supported between `tuple[str, ...]` and `LiteralString` [unsupported-operation]
|
|
ERROR pandas/io/formats/printing.py:452:53-61: 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:143:31-34: `idx` may be uninitialized [unbound-name]
|
|
ERROR pandas/io/formats/string.py:150:28-63: Argument `str` is not assignable to parameter `object` with type `LiteralString` in function `list.append` [bad-argument-type]
|
|
ERROR pandas/io/formats/style.py:2010:33-39: `result` may be uninitialized [unbound-name]
|
|
ERROR pandas/io/formats/style.py:2704:24-55: Unpacked `dict[str, str]` is not assignable to `dict[str, str]` [bad-unpacking]
|
|
ERROR pandas/io/formats/style.py:3879:24-53: No matching overload found for function `pandas.core.common.pipe` called with arguments: (Self@Styler, ((Self@Styler, ParamSpec(P)) -> T) | tuple[(...) -> T, str], *tuple[Any, ...], **dict[str, Any]) [no-matching-overload]
|
|
ERROR pandas/io/formats/style_render.py:959:28-42: `row_body_cells` may be uninitialized [unbound-name]
|
|
ERROR pandas/io/formats/style_render.py:1849:32-42: `last_label` is uninitialized [unbound-name]
|
|
ERROR pandas/io/formats/style_render.py:1855:33-43: `last_label` is uninitialized [unbound-name]
|
|
ERROR pandas/io/formats/style_render.py:2634:24-75: Argument `str | Unknown` is not assignable to parameter `object` with type `LiteralString` in function `list.append` [bad-argument-type]
|
|
ERROR pandas/io/formats/style_render.py:2637:17-83: Argument `str` is not assignable to parameter `object` with type `LiteralString` in function `list.append` [bad-argument-type]
|
|
ERROR pandas/io/formats/style_render.py:2641:17-2643:55: Argument `str` is not assignable to parameter `object` with type `LiteralString` in function `list.append` [bad-argument-type]
|
|
ERROR pandas/io/html.py:639:9-18: Class member `_BeautifulSoupHtml5LibFrameParser._parse_td` overrides parent class `_HtmlFrameParser` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/io/html.py:731:9-18: Class member `_LxmlFrameParser._parse_td` overrides parent class `_HtmlFrameParser` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/io/html.py:736:9-22: Class member `_LxmlFrameParser._parse_tables` overrides parent class `_HtmlFrameParser` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/io/json/_json.py:955:16-19: `obj` may be uninitialized [unbound-name]
|
|
ERROR pandas/io/json/_json.py:1025:38-46: 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:1025:38-46: Argument `_NoDefault | str` is not assignable to parameter `dtype_backend` with type `Literal['numpy_nullable', 'pyarrow'] | _NoDefault` in function `Parser.__init__` [bad-argument-type]
|
|
ERROR pandas/io/json/_json.py:1029:39-47: 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:1029:39-47: Argument `_NoDefault | str` is not assignable to parameter `dtype_backend` with type `Literal['numpy_nullable', 'pyarrow'] | _NoDefault` in function `Parser.__init__` [bad-argument-type]
|
|
ERROR pandas/io/json/_normalize.py:148:12-18: Returned type `list[dict[str, Any] | list[dict[str, Any]]]` is not assignable to declared return type `dict[str, Any] | list[dict[str, Any]]` [bad-return]
|
|
ERROR pandas/io/json/_normalize.py:578:32-41: Argument `int` is not assignable to parameter `object` with type `_NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool] | integer[Any]]]] | _SupportsArray[dtype[numpy.bool[builtins.bool] | integer[Any]]]` in function `list.append` [bad-argument-type]
|
|
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:432:20-21: Returned type `int | integer[Any]` is not assignable to declared return type `int` [bad-return]
|
|
ERROR pandas/io/parsers/base_parser.py:489:64-494:18: No matching overload found for function `pandas._libs.lib.maybe_convert_numeric` called with arguments: (Unknown, Unknown, Literal[False], convert_to_masked_nullable=bool | Unknown) [no-matching-overload]
|
|
ERROR pandas/io/parsers/base_parser.py:529:58-534:14: No matching overload found for function `pandas._libs.ops.maybe_convert_bool` called with arguments: (ndarray[tuple[Any, ...], dtype[Any]], true_values=Unknown, false_values=Unknown, convert_to_masked_nullable=bool | Unknown) [no-matching-overload]
|
|
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:142:25-26: `list[str]` is not assignable to attribute `data` with type `Iterator[list[str]] | list[list[Scalar]]` [bad-assignment]
|
|
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]
|
|
ERROR pandas/io/parsers/python_parser.py:428:48-83: Argument `set[Unknown] | Unknown` is not assignable to parameter `values` with type `ExtensionArray | Index | SequenceNotStr[Unknown] | Series | ndarray[tuple[Any, ...], dtype[Any]] | range` in function `pandas.core.algorithms.isin` [bad-argument-type]
|
|
ERROR pandas/io/parsers/python_parser.py:481:25-30: Cannot set item in `dict[Any, ndarray[tuple[Any, ...], dtype[Any]]]` [unsupported-operation]
|
|
ERROR pandas/io/parsers/python_parser.py:528:25-36: 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:529:25-37: 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:530:25-36: 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:1310:62-70: 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:1320:49-57: 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:1325:58-66: 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/readers.py:310:5-13: 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: ((Unknown) -> bool) | ExtensionArray | Index | SequenceNotStr[Hashable] | Series | ndarray[tuple[Any, ...], dtype[Any]] | range | None = None, dtype: ExtensionDtype | Mapping[Hashable, Dtype] | dtype[Any] | 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: Literal['bz2', 'gzip', 'infer', 'tar', 'xz', 'zip', 'zstd'] | dict[str, Any] | None = '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 | 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:320:5-13: 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: ((Unknown) -> bool) | ExtensionArray | Index | SequenceNotStr[Hashable] | Series | ndarray[tuple[Any, ...], dtype[Any]] | range | None = None, dtype: ExtensionDtype | Mapping[Hashable, Dtype] | dtype[Any] | 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: Literal['bz2', 'gzip', 'infer', 'tar', 'xz', 'zip', 'zstd'] | dict[str, Any] | None = '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 | 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:330:5-13: 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: ((Unknown) -> bool) | ExtensionArray | Index | SequenceNotStr[Hashable] | Series | ndarray[tuple[Any, ...], dtype[Any]] | range | None = None, dtype: ExtensionDtype | Mapping[Hashable, Dtype] | dtype[Any] | 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: Literal['bz2', 'gzip', 'infer', 'tar', 'xz', 'zip', 'zstd'] | dict[str, Any] | None = '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 | 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]
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ERROR pandas/io/parsers/readers.py:340:5-13: 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: ((Unknown) -> bool) | ExtensionArray | Index | SequenceNotStr[Hashable] | Series | ndarray[tuple[Any, ...], dtype[Any]] | range | None = None, dtype: ExtensionDtype | Mapping[Hashable, Dtype] | dtype[Any] | 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: Literal['bz2', 'gzip', 'infer', 'tar', 'xz', 'zip', 'zstd'] | dict[str, Any] | None = '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 | 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]
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ERROR pandas/io/parsers/readers.py:877:5-15: 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: ((Unknown) -> bool) | ExtensionArray | Index | SequenceNotStr[Hashable] | Series | ndarray[tuple[Any, ...], dtype[Any]] | range | None = None, dtype: ExtensionDtype | Mapping[Hashable, Dtype] | dtype[Any] | 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: Literal['bz2', 'gzip', 'infer', 'tar', 'xz', 'zip', 'zstd'] | dict[str, Any] | None = '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 | 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]
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ERROR pandas/io/parsers/readers.py:887:5-15: 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: ((Unknown) -> bool) | ExtensionArray | Index | SequenceNotStr[Hashable] | Series | ndarray[tuple[Any, ...], dtype[Any]] | range | None = None, dtype: ExtensionDtype | Mapping[Hashable, Dtype] | dtype[Any] | 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: Literal['bz2', 'gzip', 'infer', 'tar', 'xz', 'zip', 'zstd'] | dict[str, Any] | None = '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 | 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]
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ERROR pandas/io/parsers/readers.py:897:5-15: 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: ((Unknown) -> bool) | ExtensionArray | Index | SequenceNotStr[Hashable] | Series | ndarray[tuple[Any, ...], dtype[Any]] | range | None = None, dtype: ExtensionDtype | Mapping[Hashable, Dtype] | dtype[Any] | 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: Literal['bz2', 'gzip', 'infer', 'tar', 'xz', 'zip', 'zstd'] | dict[str, Any] | None = '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 | 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]
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ERROR pandas/io/parsers/readers.py:907:5-15: 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: ((Unknown) -> bool) | ExtensionArray | Index | SequenceNotStr[Hashable] | Series | ndarray[tuple[Any, ...], dtype[Any]] | range | None = None, dtype: ExtensionDtype | Mapping[Hashable, Dtype] | dtype[Any] | 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: Literal['bz2', 'gzip', 'infer', 'tar', 'xz', 'zip', 'zstd'] | dict[str, Any] | None = '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 | 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]
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ERROR pandas/io/pytables.py:140:39-44: Could not import `Block` from `pandas.core.internals` [missing-module-attribute]
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ERROR pandas/io/pytables.py:483:8-47: `<=` is not supported between `None` and `None` [unsupported-operation]
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ERROR pandas/io/pytables.py:487:11-31: `>` is not supported between `None` and `Literal[1]` [unsupported-operation]
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ERROR pandas/io/pytables.py:639:30-38: `None` is not subscriptable [unsupported-operation]
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ERROR pandas/io/pytables.py:702:20-704:14: Returned type `list[Unknown | None]` is not assignable to declared return type `list[str]` [bad-return]
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ERROR pandas/io/pytables.py:1281:13-14: `s` may be uninitialized [unbound-name]
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ERROR pandas/io/pytables.py:1285:16-17: `s` may be uninitialized [unbound-name]
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ERROR pandas/io/pytables.py:1287:16-17: `s` may be uninitialized [unbound-name]
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ERROR pandas/io/pytables.py:1659:20-40: Object of class `NoneType` has no attribute `rstrip` [missing-attribute]
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ERROR pandas/io/pytables.py:1941:64-72: Argument `Unknown | None` is not assignable to parameter `encoding` with type `str` in function `HDFStore._create_storer` [bad-argument-type]
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ERROR pandas/io/pytables.py:2017:16-21: `group` may be uninitialized [unbound-name]
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ERROR pandas/io/pytables.py:2091:15-34: `<` is not supported between `Literal[0]` and `None` [unsupported-operation]
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ERROR pandas/io/pytables.py:2091:15-34: `<` is not supported between `None` and `None` [unsupported-operation]
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ERROR pandas/io/pytables.py:2092:24-48: `+` is not supported between `Literal[0]` and `None` [unsupported-operation]
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ERROR pandas/io/pytables.py:2092:24-48: `+` is not supported between `None` and `int` [unsupported-operation]
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ERROR pandas/io/pytables.py:2092:24-48: `+` is not supported between `None` and `None` [unsupported-operation]
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ERROR pandas/io/pytables.py:2196:16-33: Object of class `NoneType` has no attribute `itemsize` [missing-attribute]
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ERROR pandas/io/pytables.py:2254:41-49: Argument `Unknown | None` is not assignable to parameter `val_kind` with type `str` in function `_maybe_convert` [bad-argument-type]
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ERROR pandas/io/pytables.py:2277:44-52: 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]
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ERROR pandas/io/pytables.py:2277:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `ambiguous` with type `Literal['NaT', 'infer', 'raise'] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
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ERROR pandas/io/pytables.py:2277:44-52: 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]
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ERROR pandas/io/pytables.py:2277:44-52: 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]
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ERROR pandas/io/pytables.py:2277:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `copy` with type `bool` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
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ERROR pandas/io/pytables.py:2277:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `copy` with type `bool` in function `pandas.core.indexes.base.Index.__new__` [bad-argument-type]
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ERROR pandas/io/pytables.py:2277:44-52: 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]
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ERROR pandas/io/pytables.py:2288:21-29: 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]
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ERROR pandas/io/pytables.py:2288:21-29: Unpacked keyword argument `Unknown | None` is not assignable to parameter `ambiguous` with type `Literal['NaT', 'infer', 'raise'] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
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ERROR pandas/io/pytables.py:2288:21-29: 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]
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ERROR pandas/io/pytables.py:2288:21-29: 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]
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ERROR pandas/io/pytables.py:2288:21-29: Unpacked keyword argument `Unknown | None` is not assignable to parameter `copy` with type `bool` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
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ERROR pandas/io/pytables.py:2288:21-29: Unpacked keyword argument `Unknown | None` is not assignable to parameter `copy` with type `bool` in function `pandas.core.indexes.base.Index.__new__` [bad-argument-type]
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ERROR pandas/io/pytables.py:2288:21-29: 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]
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ERROR pandas/io/pytables.py:2297:44-52: 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]
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ERROR pandas/io/pytables.py:2297:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `ambiguous` with type `Literal['NaT', 'infer', 'raise'] | ndarray[tuple[Any, ...], dtype[numpy.bool[builtins.bool]]]` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
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ERROR pandas/io/pytables.py:2297:44-52: 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]
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ERROR pandas/io/pytables.py:2297:44-52: 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]
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ERROR pandas/io/pytables.py:2297:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `copy` with type `bool` in function `pandas.core.indexes.datetimes.DatetimeIndex.__new__` [bad-argument-type]
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ERROR pandas/io/pytables.py:2297:44-52: Unpacked keyword argument `Unknown | None` is not assignable to parameter `copy` with type `bool` in function `pandas.core.indexes.base.Index.__new__` [bad-argument-type]
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ERROR pandas/io/pytables.py:2297:44-52: 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]
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ERROR pandas/io/pytables.py:2312:16-35: Object of class `NoneType` has no attribute `_v_attrs` [missing-attribute]
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ERROR pandas/io/pytables.py:2316:16-38: Object of class `NoneType` has no attribute `description` [missing-attribute]
|
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ERROR pandas/io/pytables.py:2329:20-33: No matching overload found for function `iter` called with arguments: (Unknown | None) [no-matching-overload]
|
|
ERROR pandas/io/pytables.py:2341:45-62: Object of class `NoneType` has no attribute `itemsize` [missing-attribute]
|
|
ERROR pandas/io/pytables.py:2645:71-84: No matching overload found for function `list.__init__` called with arguments: (Unknown | None) [no-matching-overload]
|
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ERROR pandas/io/pytables.py:2700:12-28: Class `bool` has no class attribute `startswith`
|
|
Class `complex` has no class attribute `startswith`
|
|
Class `object` has no class attribute `startswith`
|
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Object of class `ExtensionDtype` has no attribute `startswith`
|
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Object of class `Mapping` has no attribute `startswith`
|
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Object of class `dtype` has no attribute `startswith` [missing-attribute]
|
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ERROR pandas/io/pytables.py:2702:48-53: Argument `ExtensionDtype | Mapping[Hashable, Dtype] | dtype[Any] | str | type[bool] | type[complex] | type[object] | type[str] | Unknown` is not assignable to parameter `datetime64_dtype` with type `str` in function `_set_tz` [bad-argument-type]
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ERROR pandas/io/pytables.py:2742:45-64: No matching overload found for function `numpy.ndarray.astype` called with arguments: (ExtensionDtype | Mapping[Hashable, Dtype] | dtype[Any] | str | type[bool] | type[complex] | type[object] | type[str] | Unknown, copy=Literal[False]) [no-matching-overload]
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ERROR pandas/io/pytables.py:2749:17-26: Argument `Categorical | DatetimeArray | ndarray[tuple[Any, ...], dtype[Any]] | Unknown` is not assignable to parameter `data` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `_unconvert_string_array` [bad-argument-type]
|
|
ERROR pandas/io/pytables.py:2841:20-31: Returned type `tuple[int, ...] | tuple[int, int, int]` is not assignable to declared return type `tuple[int, int, int]` [bad-return]
|
|
ERROR pandas/io/pytables.py:3086:31-34: Argument `ndarray[tuple[int], dtype[float64]] | Unknown` is not assignable to parameter `values` with type `ndarray[tuple[Any, ...], dtype[signedinteger[_64Bit]]]` in function `_set_tz` [bad-argument-type]
|
|
ERROR pandas/io/pytables.py:3092:20-25: Object of class `list` has no attribute `T` [missing-attribute]
|
|
ERROR pandas/io/pytables.py:3118:35-51: Argument `Unknown | None` is not assignable to parameter `obj` with type `ExtensionArray | Index | Series | ndarray[tuple[Any, ...], dtype[Any]]` in function `GenericFixed.write_array` [bad-argument-type]
|
|
ERROR pandas/io/pytables.py:3146:41-58: Argument `Unknown | None` is not assignable to parameter `obj` with type `ExtensionArray | Index | Series | ndarray[tuple[Any, ...], dtype[Any]]` in function `GenericFixed.write_array` [bad-argument-type]
|
|
ERROR pandas/io/pytables.py:3184:16-32: Cannot index into `Node` [bad-index]
|
|
ERROR pandas/io/pytables.py:3289:45-50: Argument `ExtensionArray | Index | Series | ndarray[tuple[Any, ...], dtype[Any]] | Any` is not assignable to parameter `value` with type `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` in function `GenericFixed.write_array_empty` [bad-argument-type]
|
|
ERROR pandas/io/pytables.py:3333:41-46: Argument `ExtensionArray | Index | Series | ndarray[tuple[Any, ...], dtype[Any]] | Any` is not assignable to parameter `value` with type `ExtensionArray | ndarray[tuple[Any, ...], dtype[Any]]` in function `GenericFixed.write_array_empty` [bad-argument-type]
|
|
ERROR pandas/io/pytables.py:3444:64-70: `_start` may be uninitialized [unbound-name]
|
|
ERROR pandas/io/pytables.py:3444:77-82: `_stop` may be uninitialized [unbound-name]
|
|
ERROR pandas/io/pytables.py:3666:24-32: Argument `Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
|
|
ERROR pandas/io/pytables.py:3678:21-29: No matching overload found for function `int.__new__` called with arguments: (type[int], Unknown | None) [no-matching-overload]
|
|
ERROR pandas/io/pytables.py:4135:13-26: Cannot index into `list[Index]` [bad-index]
|
|
ERROR pandas/io/pytables.py:4136:40-43: 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:4383:23-37: `process_filter` may be uninitialized [unbound-name]
|
|
ERROR pandas/io/pytables.py:4402:28-63: `dict[str, Unknown | None]` is not assignable to TypedDict key `description` with type `int | str` [bad-typed-dict-key]
|
|
ERROR pandas/io/pytables.py:4598:24-40: Object of class `bool` has no attribute `all` [missing-attribute]
|
|
ERROR pandas/io/pytables.py:4945:5-11: Class member `GenericTable.levels` overrides parent class `AppendableFrameTable` in an inconsistent manner [bad-override]
|
|
ERROR pandas/io/pytables.py:5205:19-35: Object of class `ndarray` has no attribute `to_numpy` [missing-attribute]
|
|
ERROR pandas/io/pytables.py:5506:39-46: No matching overload found for function `Selection.generate` called with arguments: (ndarray[tuple[Any, ...], dtype[Any]] | Unknown | None) [no-matching-overload]
|
|
ERROR pandas/io/sas/sas_xport.py:491:32-33: `v` may be uninitialized [unbound-name]
|
|
ERROR pandas/io/sql.py:1036:20-35: Object of class `NoneType` has no attribute `copy` [missing-attribute]
|
|
ERROR pandas/io/sql.py:1045:38-50: Object of class `NoneType` has no attribute `columns` [missing-attribute]
|
|
ERROR pandas/io/sql.py:1051:38-48: Object of class `NoneType` has no attribute `items` [missing-attribute]
|
|
ERROR pandas/io/sql.py:1100:21-31: Argument `Unknown | None` is not assignable to parameter `obj` with type `Sized` in function `len` [bad-argument-type]
|
|
ERROR pandas/io/sql.py:1113:13-1128:55: `int | Unknown | None` is not assignable to `None` (caused by inconsistent types when breaking cycles) [bad-assignment]
|
|
ERROR pandas/io/sql.py:1217:23-39: Object of class `NoneType` has no attribute `index` [missing-attribute]
|
|
ERROR pandas/io/sql.py:1231:36-54: Object of class `NoneType` has no attribute `columns` [missing-attribute]
|
|
ERROR pandas/io/sql.py:1232:21-37: Object of class `NoneType` has no attribute `index` [missing-attribute]
|
|
ERROR pandas/io/sql.py:1236:47-63: Object of class `NoneType` has no attribute `index` [missing-attribute]
|
|
ERROR pandas/io/sql.py:1250:41-57: Object of class `NoneType` has no attribute `index` [missing-attribute]
|
|
ERROR pandas/io/sql.py:1254:18-36: Object of class `NoneType` has no attribute `columns` [missing-attribute]
|
|
ERROR pandas/io/sql.py:1254:55-70: Object of class `NoneType` has no attribute `iloc` [missing-attribute]
|
|
ERROR pandas/io/sql.py:1255:32-50: Object of class `NoneType` has no attribute `columns` [missing-attribute]
|
|
ERROR pandas/io/sql.py:1311:26-46: `None` is not subscriptable [unsupported-operation]
|
|
ERROR pandas/io/sql.py:1320:21-41: Cannot set item in `None` [unsupported-operation]
|
|
ERROR pandas/io/sql.py:1333:21-41: Cannot set item in `None` [unsupported-operation]
|
|
ERROR pandas/io/sql.py:1336:21-41: Cannot set item in `None` [unsupported-operation]
|
|
ERROR pandas/io/sql.py:1340:41-61: `None` is not subscriptable [unsupported-operation]
|
|
ERROR pandas/io/sql.py:1342:21-41: Cannot set item in `None` [unsupported-operation]
|
|
ERROR pandas/io/sql.py:1346:25-45: Cannot set item in `None` [unsupported-operation]
|
|
ERROR pandas/io/sql.py:1914:33-44: 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:1950:27-47: Object of class `NoneType` has no attribute `get_table_names` [missing-attribute]
|
|
ERROR pandas/io/sql.py:2060:16-30: Object of class `NoneType` has no attribute `has_table` [missing-attribute]
|
|
ERROR pandas/io/sql.py:2548:31-49: Object of class `NoneType` has no attribute `columns` [missing-attribute]
|
|
ERROR pandas/io/sql.py:2866:33-44: 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:2253:16-53: Returned type `bytes` is not assignable to declared return type `AnyStr` [bad-return]
|
|
ERROR pandas/io/stata.py:2254:12-48: `+` is not supported between `AnyStr` and `LiteralString` [unsupported-operation]
|
|
ERROR pandas/io/stata.py:2254:12-48: Returned type `bytes | str` is not assignable to declared return type `AnyStr` [bad-return]
|
|
ERROR pandas/io/stata.py:2710:43-46: Argument `str` is not assignable to parameter `object` with type `LiteralString` in function `list.append` [bad-argument-type]
|
|
ERROR pandas/io/stata.py:3844:5-14: Class member `StataWriterUTF8._encoding` overrides parent class `StataWriter117` in an inconsistent manner [bad-override]
|
|
ERROR pandas/io/xml.py:440:31-36: `elems` may be uninitialized [unbound-name]
|
|
ERROR pandas/io/xml.py:559:31-36: `elems` may be uninitialized [unbound-name]
|
|
ERROR pandas/plotting/_core.py:1096:26-57: No matching overload found for function `dict.__init__` called with arguments: (list[tuple[str, bool] | tuple[str, str] | tuple[str, None]], **dict[str, Unknown], **Unknown) [no-matching-overload]
|
|
ERROR pandas/plotting/_core.py:2218:20-26: `module` may be uninitialized [unbound-name]
|
|
ERROR pandas/plotting/_core.py:2221:20-26: `module` may be uninitialized [unbound-name]
|
|
ERROR pandas/plotting/_matplotlib/boxplot.py:278:9-19: Module `matplotlib.artist` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/boxplot.py:280:9-19: Module `matplotlib.artist` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/boxplot.py:282:9-19: Module `matplotlib.artist` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/boxplot.py:284:9-19: Module `matplotlib.artist` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
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:78:12-17: 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, type[DateConverter]]]` [bad-return]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:149:29-40: Object of class `NaTType` has no attribute `time` [missing-attribute]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:157:9-16: Class member `TimeConverter.convert` overrides parent class `ConversionInterface` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:172:18-28: Module `matplotlib.ticker` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:182:21-31: Module `matplotlib.ticker` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:227:9-16: Class member `PeriodConverter.convert` overrides parent class `DateConverter` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:280:16-42: Object of class `NaTType` has no attribute `ordinal` [missing-attribute]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:291:9-16: Class member `DatetimeConverter.convert` overrides parent class `DateConverter` in an inconsistent manner [bad-param-name-override]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:795:9-20: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:796:9-29: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:803:13-26: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:810:9-35: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:813:9-32: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:814:9-29: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:821:9-29: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:822:9-29: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:829:9-29: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:839:9-28: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:865:9-20: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:866:9-29: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:872:13-26: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:877:9-29: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:887:9-28: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:910:5-27: Cannot set item in `Literal['']` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:932:30-40: Module `matplotlib.ticker` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:950:5-9: Class member `TimeSeries_DateLocator.axis` overrides parent class `Locator` in an inconsistent manner [bad-override]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:1013:16-30: Module `matplotlib.transforms` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:1021:32-42: Module `matplotlib.ticker` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:1036:5-9: Class member `TimeSeries_DateFormatter.axis` overrides parent class `Formatter` in an inconsistent manner [bad-override]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:1097:37-47: Module `matplotlib.ticker` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/converter.py:1102:5-9: Class member `TimeSeries_TimedeltaFormatter.axis` overrides parent class `Formatter` in an inconsistent manner [bad-override]
|
|
ERROR pandas/plotting/_matplotlib/core.py:443:16-19: Returned type `list[tuple[Unknown]]` is not assignable to declared return type `bool | list[tuple[int, ...]]` [bad-return]
|
|
ERROR pandas/plotting/_matplotlib/core.py:698:33-41: 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:709:33-65: Argument `list[str]` is not assignable to parameter `iterable` with type `Iterable[type[number]]` in function `list.extend` [bad-argument-type]
|
|
WARN pandas/plotting/_matplotlib/core.py:727:28-32: Identity comparison `True is True` is always True [unnecessary-comparison]
|
|
ERROR pandas/plotting/_matplotlib/core.py:1063:35-39: Function declared to return `bool`, but one or more paths are missing an explicit `return` [bad-return]
|
|
ERROR pandas/plotting/_matplotlib/core.py:1202:26-1205:14: No matching overload found for function `numpy.lib._shape_base_impl.tile` called with arguments: (list[Number | number[Any, complex | float | int]], tuple[int, int]) [no-matching-overload]
|
|
ERROR pandas/plotting/_matplotlib/core.py:1240:32-40: Module `matplotlib.axes` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/core.py:1383:21-32: Module `matplotlib.patches` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/core.py:1575:40-42: Argument `Iterable[tuple[Hashable, Series]] | Iterator[tuple[Hashable, ndarray[tuple[Any, ...], dtype[Any]]]]` is not assignable to parameter `iterable` with type `Iterable[tuple[Hashable, Series]]` in function `enumerate.__new__` [bad-argument-type]
|
|
ERROR pandas/plotting/_matplotlib/core.py:1599:17-18: Argument `Series` is not assignable to parameter `y` with type `ndarray[tuple[Any, ...], dtype[Any]]` in function `LinePlot._plot` [bad-argument-type]
|
|
ERROR pandas/plotting/_matplotlib/core.py:1943:14-22: Class member `BarPlot.subplots` overrides parent class `MPLPlot` in an inconsistent manner [bad-override]
|
|
ERROR pandas/plotting/_matplotlib/core.py:1998:17-56: Cannot set item in `list[list[int]]` [unsupported-operation]
|
|
ERROR pandas/plotting/_matplotlib/misc.py:131:22-31: Module `matplotlib.lines` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/misc.py:192:18-29: Module `matplotlib.patches` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/misc.py:195:22-33: Module `matplotlib.patches` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/misc.py:416:27-42: 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:416:27-42: 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/tools.py:82:12-21: Module `matplotlib.table` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
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/plotting/_matplotlib/tools.py:332:45-55: Module `matplotlib.ticker` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/tools.py:333:32-42: Module `matplotlib.ticker` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/tools.py:334:47-57: Module `matplotlib.ticker` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/plotting/_matplotlib/tools.py:335:34-44: Module `matplotlib.ticker` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR pandas/tseries/frequencies.py:300:16-65: 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:344:36-346:14: No matching overload found for function `max` called with arguments: (Timestamp, NaTType | Timestamp) [no-matching-overload]
|
|
ERROR pandas/tseries/holiday.py:348:34-350:14: No matching overload found for function `min` called with arguments: (Timestamp, NaTType | Timestamp) [no-matching-overload]
|
|
ERROR pandas/tseries/holiday.py:380:43-53: 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:380:55-63: 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:384:41-51: 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:384:53-61: 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:525:27-32: Argument `NaTType | Timestamp | Unknown` is not assignable to parameter `ts_input` with type `date | datetime | datetime64[date | int | None] | float | integer[Any] | str` in function `pandas._libs.tslibs.timestamps.Timestamp.__new__` [bad-argument-type]
|
|
ERROR pandas/tseries/holiday.py:526:25-28: Argument `NaTType | Timestamp | Unknown` is not assignable to parameter `ts_input` with type `date | datetime | datetime64[date | int | None] | float | integer[Any] | str` in function `pandas._libs.tslibs.timestamps.Timestamp.__new__` [bad-argument-type]
|
|
ERROR pandas/tseries/holiday.py:539:27-62: `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:541:20-34: `None` is not subscriptable [unsupported-operation]
|
|
ERROR pandas/util/_validators.py:473:12-15: Returned type `int | integer[Any] | Any` is not assignable to declared return type `int` [bad-return]
|
|
ERROR typings/numba.pyi:20:7-23: Module `numba.core.types` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR typings/numba.pyi:21:12-28: Module `numba.core.types` exists, but was not imported explicitly. You are relying on other modules to load it. [implicit-import]
|
|
ERROR typings/numba.pyi:24:21-35: No attribute `compiler` in module `numba` [missing-attribute]
|
|
INFO Checking project configured at `<CWD>/pyrefly.toml`
|
|
INFO 1,542 errors (592 suppressed)
|