CLN: update flake8-pyi

.pre-commit-config.yaml

@@ -27,7 +27,7 @@ repos:
     -   id: flake8
         name: flake8 (pyi)
         additional_dependencies:
-        - flake8-pyi==22.5.1
+        - flake8-pyi==22.7.0
         types: [pyi]
         args: [
           --ignore=E301 E302 E305 E402 E501 E701 E704 F401 F811 W503 Y019 Y026 Y027 Y034 Y037,

pandas-stubs/__init__.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 import pandas.testing as testing
 
 from . import (

pandas-stubs/_config/__init__.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from .config import (
     describe_option as describe_option,
     get_option as get_option,

pandas-stubs/_config/config.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from contextlib import ContextDecorator
 from typing import (
     Any,

pandas-stubs/_libs/__init__.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from .interval import Interval as Interval
 from .tslibs import (
     NaT as NaT,

pandas-stubs/_libs/indexing.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 class _NDFrameIndexerBase:
     def __init__(self, name: str, obj: object) -> None: ...
     @property

pandas-stubs/_libs/interval.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from typing import (
     Any,
     Generic,
@@ -78,7 +76,7 @@ class Interval(IntervalMixin, Generic[_OrderableT]):
     @overload
     def __contains__(self: Interval[_OrderableTimesT], _OrderableTimesT) -> bool: ...
     @overload
-    def __contains__(self: Interval[_OrderableScalarT], key: int | float) -> bool: ...
+    def __contains__(self: Interval[_OrderableScalarT], key: float) -> bool: ...
     @overload
     def __add__(
         self: Interval[_OrderableTimesT], y: Timedelta
@@ -88,7 +86,7 @@ class Interval(IntervalMixin, Generic[_OrderableT]):
         self: Interval[int], y: _OrderableScalarT
     ) -> Interval[_OrderableScalarT]: ...
     @overload
-    def __add__(self: Interval[float], y: int | float) -> Interval[float]: ...
+    def __add__(self: Interval[float], y: float) -> Interval[float]: ...
     @overload
     def __radd__(
         self: Interval[_OrderableTimesT], y: Timedelta
@@ -98,7 +96,7 @@ class Interval(IntervalMixin, Generic[_OrderableT]):
         self: Interval[int], y: _OrderableScalarT
     ) -> Interval[_OrderableScalarT]: ...
     @overload
-    def __radd__(self: Interval[float], y: int | float) -> Interval[float]: ...
+    def __radd__(self: Interval[float], y: float) -> Interval[float]: ...
     @overload
     def __sub__(
         self: Interval[_OrderableTimesT], y: Timedelta
@@ -108,7 +106,7 @@ class Interval(IntervalMixin, Generic[_OrderableT]):
         self: Interval[int], y: _OrderableScalarT
     ) -> Interval[_OrderableScalarT]: ...
     @overload
-    def __sub__(self: Interval[float], y: int | float) -> Interval[float]: ...
+    def __sub__(self: Interval[float], y: float) -> Interval[float]: ...
     @overload
     def __rsub__(
         self: Interval[_OrderableTimesT], y: Timedelta
@@ -118,31 +116,31 @@ class Interval(IntervalMixin, Generic[_OrderableT]):
         self: Interval[int], y: _OrderableScalarT
     ) -> Interval[_OrderableScalarT]: ...
     @overload
-    def __rsub__(self: Interval[float], y: int | float) -> Interval[float]: ...
+    def __rsub__(self: Interval[float], y: float) -> Interval[float]: ...
     @overload
     def __mul__(
         self: Interval[int], y: _OrderableScalarT
     ) -> Interval[_OrderableScalarT]: ...
     @overload
-    def __mul__(self: Interval[float], y: int | float) -> Interval[float]: ...
+    def __mul__(self: Interval[float], y: float) -> Interval[float]: ...
     @overload
     def __rmul__(
         self: Interval[int], y: _OrderableScalarT
     ) -> Interval[_OrderableScalarT]: ...
     @overload
-    def __rmul__(self: Interval[float], y: int | float) -> Interval[float]: ...
+    def __rmul__(self: Interval[float], y: float) -> Interval[float]: ...
     @overload
     def __truediv__(
         self: Interval[int], y: _OrderableScalarT
     ) -> Interval[_OrderableScalarT]: ...
     @overload
-    def __truediv__(self: Interval[float], y: int | float) -> Interval[float]: ...
+    def __truediv__(self: Interval[float], y: float) -> Interval[float]: ...
     @overload
     def __floordiv__(
         self: Interval[int], y: _OrderableScalarT
     ) -> Interval[_OrderableScalarT]: ...
     @overload
-    def __floordiv__(self: Interval[float], y: int | float) -> Interval[float]: ...
+    def __floordiv__(self: Interval[float], y: float) -> Interval[float]: ...
     def overlaps(self: Interval[_OrderableT], other: Interval[_OrderableT]) -> bool: ...
 
 def intervals_to_interval_bounds(

pandas-stubs/_libs/json.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 def decode(*args, **kwargs): ...
 def dumps(*args, **kwargs): ...
 def encode(*args, **kwargs): ...

pandas-stubs/_libs/lib.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 no_default = None
 
 def infer_dtype(value: object, skipna: bool = ...) -> str: ...

pandas-stubs/_libs/missing.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 class NAType:
     def __new__(cls, *args, **kwargs) -> NAType: ...
     def __format__(self, format_spec: str) -> str: ...

pandas-stubs/_libs/ops_dispatch.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 DISPATCHED_UFUNCS = ...
 REVERSED_NAMES = ...
 UFUNC_ALIASES = ...

pandas-stubs/_libs/properties.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from typing import Callable
 
 class CachedProperty:

pandas-stubs/_libs/sparse.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 class SparseIndex: ...
 class BlockIndex(SparseIndex): ...
 class IntIndex(SparseIndex): ...

pandas-stubs/_libs/tslibs/__init__.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 __all__ = [
     "Period",
     "Timestamp",

pandas-stubs/_libs/tslibs/base.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from datetime import datetime
 
 class ABCTimestamp(datetime): ...

pandas-stubs/_libs/tslibs/ccalendar.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from typing import Sequence
 
 def dayofweek(y: int, m: int, d: int) -> int: ...

pandas-stubs/_libs/tslibs/conversion.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from datetime import datetime
 
 def localize_pydatetime(dt: datetime, tz: object) -> datetime: ...

pandas-stubs/_libs/tslibs/dtypes.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from enum import Enum
 
 from .offsets import BaseOffset

pandas-stubs/_libs/tslibs/nattype.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from datetime import (
     datetime,
     timedelta,

pandas-stubs/_libs/tslibs/np_datetime.pyi

@@ -1,3 +1 @@
-from __future__ import annotations
-
 class OutOfBoundsDatetime(ValueError): ...

pandas-stubs/_libs/tslibs/offsets.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from datetime import (
     datetime,
     timedelta,

pandas-stubs/_libs/tslibs/parsing.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from typing import Any
 
 def parse_time_string(*args, **kwargs) -> Any: ...

pandas-stubs/_libs/tslibs/period.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from datetime import datetime
 from typing import Any
 

pandas-stubs/_libs/tslibs/strptime.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from typing import Any
 
 def array_strptime(*args, **kwargs) -> Any: ...

pandas-stubs/_libs/tslibs/timedeltas.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from datetime import timedelta
 from typing import (
     ClassVar,
@@ -84,7 +82,7 @@ class Timedelta(timedelta):
         cls: type[_S],
         value=...,
         unit: str = ...,
-        **kwargs: int | float | np.integer | np.floating,
+        **kwargs: float | np.integer | np.floating,
     ) -> _S: ...
     # GH 46171
     # While Timedelta can return pd.NaT, having the constructor return
@@ -119,7 +117,7 @@ class Timedelta(timedelta):
     @overload  # type: ignore[override]
     def __floordiv__(self, other: timedelta) -> int: ...
     @overload
-    def __floordiv__(self, other: int | float) -> Timedelta: ...
+    def __floordiv__(self, other: float) -> Timedelta: ...
     @overload
     def __floordiv__(
         self, other: npt.NDArray[np.timedelta64]

pandas-stubs/_libs/tslibs/timestamps.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from datetime import (
     date as _date,
     datetime,
@@ -35,13 +33,7 @@ class Timestamp(datetime):
     value: int  # np.int64
     def __new__(
         cls: type[_DatetimeT],
-        ts_input: int
-        | np.integer
-        | float
-        | str
-        | _date
-        | datetime
-        | np.datetime64 = ...,
+        ts_input: np.integer | float | str | _date | datetime | np.datetime64 = ...,
         freq: int | str | BaseOffset | None = ...,
         tz: str | _tzinfo | int | None = ...,
         unit: str | int | None = ...,

pandas-stubs/_libs/tslibs/tzconversion.pyi

@@ -1,3 +1 @@
-from __future__ import annotations
-
 def tz_convert_from_utc_single(val: int, tz: str) -> int: ...

pandas-stubs/_libs/tslibs/vectorized.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from typing import Sequence
 
 import numpy as np

pandas-stubs/_testing/__init__.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from typing import Literal
 
 from pandas.core.frame import DataFrame

pandas-stubs/_typing.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from builtins import type as type_t
 import datetime
 from io import (
@@ -43,16 +41,14 @@ from pandas.core.dtypes.dtypes import ExtensionDtype
 
 ArrayLike = Union[ExtensionArray, np.ndarray]
 AnyArrayLike = Union[Index, Series, np.ndarray]
-PythonScalar = Union[str, int, float, bool, complex]
+PythonScalar = Union[str, bool, complex]
 DatetimeLikeScalar = TypeVar("DatetimeLikeScalar", Period, Timestamp, Timedelta)
 PandasScalar = Union[bytes, datetime.date, datetime.datetime, datetime.timedelta]
 # Scalar = Union[PythonScalar, PandasScalar]
 IntStrT = TypeVar("IntStrT", int, str)
 
 # dtypes
-NpDtype = Union[
-    str, np.dtype[np.generic], type[Union[str, float, int, complex, bool, object]]
-]
+NpDtype = Union[str, np.dtype[np.generic], type[Union[str, complex, bool, object]]]
 Dtype = Union[ExtensionDtype, NpDtype]
 AstypeArg = Union[ExtensionDtype, npt.DTypeLike]
 # DtypeArg specifies all allowable dtypes in a functions its dtype argument
@@ -97,7 +93,7 @@ AggFuncType = Union[
     AggFuncTypeDict,
 ]
 
-num = Union[int, float, complex]
+num = complex
 SeriesAxisType = Literal["index", 0]  # Restricted subset of _AxisType for series
 AxisType = Literal["columns", "index", 0, 1]
 DtypeNp = TypeVar("DtypeNp", bound=np.dtype[np.generic])
@@ -111,8 +107,6 @@ Scalar = Union[
     datetime.datetime,
     datetime.timedelta,
     bool,
-    int,
-    float,
     complex,
     Timestamp,
     Timedelta,

pandas-stubs/_version.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from typing import Literal
 
 version_json: str = ...

pandas-stubs/api/__init__.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from . import (
     extensions as extensions,
     indexers as indexers,

pandas-stubs/api/extensions/__init__.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from pandas.core.accessor import (
     register_dataframe_accessor as register_dataframe_accessor,
     register_index_accessor as register_index_accessor,

pandas-stubs/api/indexers/__init__.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from pandas.core.indexers import check_array_indexer as check_array_indexer
 from pandas.core.window.indexers import (
     BaseIndexer as BaseIndexer,

pandas-stubs/api/types/__init__.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from pandas._libs.lib import infer_dtype as infer_dtype
 
 from pandas.core.dtypes.api import (

pandas-stubs/arrays/__init__.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from pandas.core.arrays import (
     BooleanArray as BooleanArray,
     Categorical as Categorical,

pandas-stubs/compat/__init__.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 PY37 = ...
 PY38 = ...
 PYPY = ...

pandas-stubs/compat/_optional.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 VERSIONS = ...
 
 def import_optional_dependency(

pandas-stubs/compat/numpy/__init__.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 import numpy as np
 
 _np_version: str = ...

pandas-stubs/compat/pickle_compat.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 import pickle as pkl
 
 def load_reduce(self) -> None: ...

pandas-stubs/core/accessor.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from typing import Any
 
 class DirNamesMixin:

pandas-stubs/core/algorithms.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from typing import Any
 
 import numpy as np

pandas-stubs/core/api.pyi

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from pandas.core.algorithms import (
     factorize as factorize,
     unique as unique,