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‎.pre-commit-config.yaml

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- flake8-pyi==22.5.1
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types: [pyi]
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args: [
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--ignore=E301 E302 E305 E402 E501 E701 E704 F401 F811 W503 Y019 Y026 Y027 Y034 Y037,
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--ignore=E301 E302 E305 E402 E501 E701 E704 F401 F811 W503 Y019 Y022 Y026 Y027 Y034 Y037,
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# TypeVars in private files are already private
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--per-file-ignores=_*.pyi:Y001
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]

‎pandas-stubs/_libs/interval.pyi

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Any,
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Generic,
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TypeVar,
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Union,
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overload,
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)
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‎pandas-stubs/_libs/missing.pyi

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from __future__ import annotations
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from typing import Union
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class NAType:
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def __new__(cls, *args, **kwargs) -> NAType: ...
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def __format__(self, format_spec: str) -> str: ...

‎pandas-stubs/_libs/tslibs/dtypes.pyi

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from __future__ import annotations
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from enum import Enum
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from typing import Dict
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from .offsets import BaseOffset
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‎pandas-stubs/_libs/tslibs/timedeltas.pyi

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from typing import (
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ClassVar,
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Literal,
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Type,
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TypeVar,
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overload,
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)

‎pandas-stubs/_libs/tslibs/vectorized.pyi

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from __future__ import annotations
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from typing import (
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List,
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Optional,
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Sequence,
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)
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from typing import Sequence
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import numpy as np
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‎pandas-stubs/_testing/__init__.pyi

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from __future__ import annotations
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from typing import (
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List,
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Literal,
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Optional,
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Union,
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)
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from typing import Literal
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from pandas.core.frame import DataFrame
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from pandas.core.indexes.base import Index

‎pandas-stubs/_typing.pyi

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Optional,
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Protocol,
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Sequence,
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Tuple,
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Type,
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TypeVar,
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Union,
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# Any plain Python or numpy function
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Function = Union[np.ufunc, Callable[..., Any]]
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GroupByObjectNonScalar = Union[
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Tuple, List[Label], Function, Series, np.ndarray, Mapping[Label, Any], Index
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List[Label], Function, Series, np.ndarray, Mapping[Label, Any], Index
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]
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GroupByObject = Union[Scalar, GroupByObjectNonScalar]

‎pandas-stubs/compat/pickle_compat.pyi

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from __future__ import annotations
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import pickle as pkl
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from typing import Optional
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def load_reduce(self) -> None: ...
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def load_newobj(self) -> None: ...

‎pandas-stubs/core/algorithms.pyi

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from __future__ import annotations
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from typing import (
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Any,
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Tuple,
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Union,
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)
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from typing import Any
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import numpy as np
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from pandas.core.indexes.base import Index

‎pandas-stubs/core/apply.pyi

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Any,
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Dict,
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Iterator,
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Tuple,
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Union,
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)
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ResType = Dict[int, Any]

‎pandas-stubs/core/arraylike.pyi

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from typing import (
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Any,
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Protocol,
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Tuple,
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)
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from pandas import DataFrame

‎pandas-stubs/core/arrays/base.pyi

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from __future__ import annotations
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from typing import (
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from typing import Sequence
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import numpy as np
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‎pandas-stubs/core/arrays/boolean.pyi

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from __future__ import annotations
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from typing import Type
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import numpy as np
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from pandas._typing import Scalar
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from .masked import BaseMaskedArray as BaseMaskedArray
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_type_BooleanArray = type[BooleanArray]
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class BooleanDtype(ExtensionDtype):
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name: str = ...
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@property
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@property
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def kind(self) -> str: ...
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@classmethod
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def construct_array_type(cls) -> type[BooleanArray]: ...
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def construct_array_type(cls) -> _type_BooleanArray: ...
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def __from_arrow__(self, array): ...
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def coerce_to_array(values, mask=..., copy: bool = ...): ...

‎pandas-stubs/core/arrays/categorical.pyi

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from typing import (
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Callable,
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Dict,
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List,
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Literal,
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Sequence,
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Union,
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overload,
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)
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‎pandas-stubs/core/arrays/datetimelike.pyi

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from __future__ import annotations
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from typing import (
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from typing import Sequence
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import numpy as np
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from pandas.core.arrays.base import (

‎pandas-stubs/core/arrays/datetimes.pyi

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from __future__ import annotations
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from datetime import tzinfo
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from typing import (
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import numpy as np
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from pandas.core.arrays import datetimelike as dtl

‎pandas-stubs/core/arrays/integer.pyi

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from __future__ import annotations
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from typing import Type
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from pandas.core.dtypes.base import ExtensionDtype as ExtensionDtype
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from .masked import BaseMaskedArray as BaseMaskedArray

‎pandas-stubs/core/arrays/interval.pyi

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from __future__ import annotations
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from typing import Optional
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import numpy as np
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from pandas import Index
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from pandas.core.arrays.base import ExtensionArray as ExtensionArray

‎pandas-stubs/core/arrays/numpy_.pyi

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from __future__ import annotations
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from typing import Union
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import numpy as np
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from numpy.lib.mixins import NDArrayOperatorsMixin
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from pandas.core.arrays.base import (

‎pandas-stubs/core/arrays/period.pyi

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from __future__ import annotations
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from typing import (
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from typing import Sequence
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import numpy as np
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from pandas.core.arrays import datetimelike as dtl

‎pandas-stubs/core/arrays/sparse/dtype.pyi

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from typing import Optional
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from pandas._typing import (
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‎pandas-stubs/core/arrays/string_.pyi

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from __future__ import annotations
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from typing import Type
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from pandas.core.arrays import PandasArray as PandasArray
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_type_StringArray = type[StringArray]
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class StringDtype(ExtensionDtype):
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na_value = ...
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@property
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def type(self) -> type: ...
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def construct_array_type(cls) -> _type_StringArray: ...
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‎pandas-stubs/core/base.pyi

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from typing import (
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‎pandas-stubs/core/common.pyi

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from typing import (
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‎pandas-stubs/core/computation/eval.pyi

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def eval(
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‎pandas-stubs/core/computation/expr.pyi

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import ast
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from pandas.core.computation.ops import Term as Term
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‎pandas-stubs/core/computation/parsing.pyi

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import tokenize
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BACKTICK_QUOTED_STRING: int
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‎pandas-stubs/core/computation/pytables.pyi

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‎pandas-stubs/core/construction.pyi

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‎pandas-stubs/core/dtypes/base.pyi

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_type_ExtensionArray = type[ExtensionArray]
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class ExtensionDtype:
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def construct_array_type(cls) -> _type_ExtensionArray: ...
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‎pandas-stubs/core/dtypes/common.pyi

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‎pandas-stubs/core/dtypes/dtypes.pyi

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‎pandas-stubs/core/dtypes/missing.pyi

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from pandas import (

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