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python/pyspark/pandas/_typing.py
51 строка
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yangjie01
[SPARK-55986][PYTHON] Upgrade black to 26.3.1
16 мар 2026, 19:20
16 мар 2026, 19:20
cbcee8c
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# # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import datetime import decimal from typing import Any, Tuple, TypeVar, Union, TYPE_CHECKING import numpy as np from pandas.api.extensions import ExtensionDtype if TYPE_CHECKING: from pyspark.pandas.base import IndexOpsMixin from pyspark.pandas.frame import DataFrame from pyspark.pandas.generic import Frame from pyspark.pandas.indexes.base import Index from pyspark.pandas.series import Series # TypeVars T = TypeVar("T") FrameLike = TypeVar("FrameLike", bound="Frame") IndexOpsLike = TypeVar("IndexOpsLike", bound="IndexOpsMixin") # Type aliases Scalar = Union[ int, float, bool, str, bytes, decimal.Decimal, datetime.date, datetime.datetime, None ] # TODO: use the actual type parameters. Label = Tuple[Any, ...] Name = Union[Any, Label] Axis = Union[int, str] Dtype = Union[np.dtype, ExtensionDtype] DataFrameOrSeries = Union["DataFrame", "Series"] SeriesOrIndex = Union["Series", "Index"]