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twoertweintwoertwein
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CI: flake8-pyi (#47595)
1 parent b6d5e97 commit 4d17588

12 files changed

+44
-39
lines changed

‎.pre-commit-config.yaml

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@@ -229,3 +229,11 @@ repos:
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entry: python scripts/validate_min_versions_in_sync.py
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language: python
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files: ^(ci/deps/actions-.*-minimum_versions\.yaml|pandas/compat/_optional\.py)$
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- id: flake8-pyi
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name: flake8-pyi
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entry: flake8 --extend-ignore=E301,E302,E305,E701,E704
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types: [pyi]
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language: python
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additional_dependencies:
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- flake8==4.0.1
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- flake8-pyi==22.5.1

‎pandas/_libs/index.pyi

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@@ -69,7 +69,7 @@ class BaseMultiIndexCodesEngine:
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) -> npt.NDArray[np.intp]: ...
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class ExtensionEngine:
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def __init__(self, values: "ExtensionArray"): ...
72+
def __init__(self, values: ExtensionArray): ...
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def __contains__(self, val: object) -> bool: ...
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def get_loc(self, val: object) -> int | slice | np.ndarray: ...
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def get_indexer(self, values: np.ndarray) -> npt.NDArray[np.intp]: ...

‎pandas/_libs/interval.pyi

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@@ -4,7 +4,6 @@ from typing import (
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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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@@ -81,11 +80,7 @@ class Interval(IntervalMixin, Generic[_OrderableT]):
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self: Interval[_OrderableTimesT], key: _OrderableTimesT
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) -> bool: ...
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@overload
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def __contains__(
85-
self: Interval[_OrderableScalarT], key: Union[int, float]
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) -> bool: ...
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def __repr__(self) -> str: ...
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def __str__(self) -> str: ...
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def __contains__(self: Interval[_OrderableScalarT], key: int | float) -> bool: ...
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@overload
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def __add__(
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self: Interval[_OrderableTimesT], y: Timedelta
@@ -95,7 +90,7 @@ class Interval(IntervalMixin, Generic[_OrderableT]):
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self: Interval[int], y: _OrderableScalarT
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) -> Interval[_OrderableScalarT]: ...
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@overload
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def __add__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
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def __add__(self: Interval[float], y: int | float) -> Interval[float]: ...
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@overload
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def __radd__(
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self: Interval[_OrderableTimesT], y: Timedelta
@@ -105,7 +100,7 @@ class Interval(IntervalMixin, Generic[_OrderableT]):
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self: Interval[int], y: _OrderableScalarT
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) -> Interval[_OrderableScalarT]: ...
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@overload
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def __radd__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
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def __radd__(self: Interval[float], y: int | float) -> Interval[float]: ...
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@overload
110105
def __sub__(
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self: Interval[_OrderableTimesT], y: Timedelta
@@ -115,7 +110,7 @@ class Interval(IntervalMixin, Generic[_OrderableT]):
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self: Interval[int], y: _OrderableScalarT
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) -> Interval[_OrderableScalarT]: ...
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@overload
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def __sub__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
113+
def __sub__(self: Interval[float], y: int | float) -> Interval[float]: ...
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@overload
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def __rsub__(
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self: Interval[_OrderableTimesT], y: Timedelta
@@ -125,33 +120,31 @@ class Interval(IntervalMixin, Generic[_OrderableT]):
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self: Interval[int], y: _OrderableScalarT
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) -> Interval[_OrderableScalarT]: ...
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@overload
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def __rsub__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
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def __rsub__(self: Interval[float], y: int | float) -> Interval[float]: ...
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@overload
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def __mul__(
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self: Interval[int], y: _OrderableScalarT
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) -> Interval[_OrderableScalarT]: ...
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@overload
134-
def __mul__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
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def __mul__(self: Interval[float], y: int | float) -> Interval[float]: ...
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@overload
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def __rmul__(
137132
self: Interval[int], y: _OrderableScalarT
138133
) -> Interval[_OrderableScalarT]: ...
139134
@overload
140-
def __rmul__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
135+
def __rmul__(self: Interval[float], y: int | float) -> Interval[float]: ...
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@overload
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def __truediv__(
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self: Interval[int], y: _OrderableScalarT
144139
) -> Interval[_OrderableScalarT]: ...
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@overload
146-
def __truediv__(self: Interval[float], y: Union[int, float]) -> Interval[float]: ...
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def __truediv__(self: Interval[float], y: int | float) -> Interval[float]: ...
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@overload
148143
def __floordiv__(
149144
self: Interval[int], y: _OrderableScalarT
150145
) -> Interval[_OrderableScalarT]: ...
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@overload
152-
def __floordiv__(
153-
self: Interval[float], y: Union[int, float]
154-
) -> Interval[float]: ...
147+
def __floordiv__(self: Interval[float], y: int | float) -> Interval[float]: ...
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def overlaps(self: Interval[_OrderableT], other: Interval[_OrderableT]) -> bool: ...
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def intervals_to_interval_bounds(

‎pandas/_libs/lib.pyi

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@@ -213,7 +213,7 @@ def count_level_2d(
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def get_level_sorter(
214214
label: np.ndarray, # const int64_t[:]
215215
starts: np.ndarray, # const intp_t[:]
216-
) -> np.ndarray: ... # np.ndarray[np.intp, ndim=1]
216+
) -> np.ndarray: ... # np.ndarray[np.intp, ndim=1]
217217
def generate_bins_dt64(
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values: npt.NDArray[np.int64],
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binner: np.ndarray, # const int64_t[:]

‎pandas/_libs/sparse.pyi

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@@ -7,7 +7,7 @@ import numpy as np
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from pandas._typing import npt
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10-
SparseIndexT = TypeVar("SparseIndexT", bound="SparseIndex")
10+
_SparseIndexT = TypeVar("_SparseIndexT", bound=SparseIndex)
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class SparseIndex:
1313
length: int
@@ -24,8 +24,8 @@ class SparseIndex:
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def lookup_array(self, indexer: npt.NDArray[np.int32]) -> npt.NDArray[np.int32]: ...
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def to_int_index(self) -> IntIndex: ...
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def to_block_index(self) -> BlockIndex: ...
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def intersect(self: SparseIndexT, y_: SparseIndex) -> SparseIndexT: ...
28-
def make_union(self: SparseIndexT, y_: SparseIndex) -> SparseIndexT: ...
27+
def intersect(self: _SparseIndexT, y_: SparseIndex) -> _SparseIndexT: ...
28+
def make_union(self: _SparseIndexT, y_: SparseIndex) -> _SparseIndexT: ...
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class IntIndex(SparseIndex):
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indices: npt.NDArray[np.int32]

‎pandas/_libs/tslibs/conversion.pyi

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@@ -5,8 +5,6 @@ from datetime import (
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import numpy as np
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8-
from pandas._typing import npt
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DT64NS_DTYPE: np.dtype
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TD64NS_DTYPE: np.dtype
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‎pandas/_libs/tslibs/nattype.pyi

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@@ -3,10 +3,6 @@ from datetime import (
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timedelta,
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tzinfo as _tzinfo,
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)
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from typing import (
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Any,
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Union,
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)
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117
import numpy as np
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@@ -18,7 +14,7 @@ nat_strings: set[str]
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1915
def is_null_datetimelike(val: object, inat_is_null: bool = ...) -> bool: ...
2016

21-
_NaTComparisonTypes = Union[datetime, timedelta, Period, np.datetime64, np.timedelta64]
17+
_NaTComparisonTypes = datetime | timedelta | Period | np.datetime64 | np.timedelta64
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2319
class _NatComparison:
2420
def __call__(self, other: _NaTComparisonTypes) -> bool: ...
@@ -117,8 +113,8 @@ class NaTType:
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# inject Period properties
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@property
119115
def qyear(self) -> float: ...
120-
def __eq__(self, other: Any) -> bool: ...
121-
def __ne__(self, other: Any) -> bool: ...
116+
def __eq__(self, other: object) -> bool: ...
117+
def __ne__(self, other: object) -> bool: ...
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__lt__: _NatComparison
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__le__: _NatComparison
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__gt__: _NatComparison

‎pandas/_libs/tslibs/offsets.pyi

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@@ -21,7 +21,7 @@ from .timedeltas import Timedelta
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2222
if TYPE_CHECKING:
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from pandas.core.indexes.datetimes import DatetimeIndex
24-
_BaseOffsetT = TypeVar("_BaseOffsetT", bound="BaseOffset")
24+
_BaseOffsetT = TypeVar("_BaseOffsetT", bound=BaseOffset)
2525
_DatetimeT = TypeVar("_DatetimeT", bound=datetime)
2626
_TimedeltaT = TypeVar("_TimedeltaT", bound=timedelta)
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@@ -76,13 +76,12 @@ class BaseOffset:
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def __rmul__(self: _BaseOffsetT, other: int) -> _BaseOffsetT: ...
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def __neg__(self: _BaseOffsetT) -> _BaseOffsetT: ...
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def copy(self: _BaseOffsetT) -> _BaseOffsetT: ...
79-
def __repr__(self) -> str: ...
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@property
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def name(self) -> str: ...
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@property
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def rule_code(self) -> str: ...
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def freqstr(self) -> str: ...
85-
def apply_index(self, dtindex: "DatetimeIndex") -> "DatetimeIndex": ...
84+
def apply_index(self, dtindex: DatetimeIndex) -> DatetimeIndex: ...
8685
def _apply_array(self, dtarr) -> None: ...
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def rollback(self, dt: datetime) -> datetime: ...
8887
def rollforward(self, dt: datetime) -> datetime: ...

‎pandas/_libs/tslibs/timedeltas.pyi

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@@ -2,7 +2,6 @@ from datetime import timedelta
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from typing import (
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ClassVar,
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Literal,
5-
Type,
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TypeVar,
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overload,
87
)
@@ -84,7 +83,7 @@ class Timedelta(timedelta):
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resolution: ClassVar[Timedelta]
8584
value: int # np.int64
8685
def __new__(
87-
cls: Type[_S],
86+
cls: type[_S],
8887
value=...,
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unit: str = ...,
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**kwargs: int | float | np.integer | np.floating,

‎pandas/_libs/tslibs/timestamps.pyi

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@@ -104,7 +104,9 @@ class Timestamp(datetime):
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def utcnow(cls: type[_DatetimeT]) -> _DatetimeT: ...
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# error: Signature of "combine" incompatible with supertype "datetime"
106106
@classmethod
107-
def combine(cls, date: _date, time: _time) -> datetime: ... # type: ignore[override]
107+
def combine( # type: ignore[override]
108+
cls, date: _date, time: _time
109+
) -> datetime: ...
108110
@classmethod
109111
def fromisoformat(cls: type[_DatetimeT], date_string: str) -> _DatetimeT: ...
110112
def strftime(self, format: str) -> str: ...

‎pandas/_libs/writers.pyi

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@@ -17,7 +17,7 @@ def max_len_string_array(
1717
) -> int: ...
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def word_len(val: object) -> int: ...
1919
def string_array_replace_from_nan_rep(
20-
arr: np.ndarray, # np.ndarray[object, ndim=1]
20+
arr: np.ndarray, # np.ndarray[object, ndim=1]
2121
nan_rep: object,
2222
replace: object = ...,
2323
) -> None: ...

‎setup.cfg

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@@ -107,9 +107,19 @@ ignore =
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# false positives
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B301,
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# single-letter variables
110-
PDF023
110+
PDF023,
111111
# "use 'pandas._testing' instead" in non-test code
112-
PDF025
112+
PDF025,
113+
# If test must be a simple comparison against sys.platform or sys.version_info
114+
Y002,
115+
# Use "_typeshed.Self" instead of class-bound TypeVar
116+
Y019,
117+
# Docstrings should not be included in stubs
118+
Y021,
119+
# Use typing_extensions.TypeAlias for type aliases
120+
Y026,
121+
# Use "collections.abc.*" instead of "typing.*" (PEP 585 syntax)
122+
Y027
113123
exclude =
114124
doc/sphinxext/*.py,
115125
doc/build/*.py,

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