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_typing.pyi
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from typing import Any, Callable, Iterable, List, NewType, Optional, Tuple, TypeVar, Union
from typing_extensions import Protocol, Literal
from types import FunctionType
import datetime
import decimal
import pyspark.sql.column
import pyspark.sql.types
from pyspark.sql.column import Column
import pandas.core.frame # type: ignore
import pandas.core.series # type: ignore
ColumnOrName = Union[pyspark.sql.column.Column, str]
DecimalLiteral = decimal.Decimal
DateTimeLiteral = Union[datetime.datetime, datetime.date]
LiteralType = Union[bool, int, float, str]
AtomicDataTypeOrString = Union[pyspark.sql.types.AtomicType, str]
DataTypeOrString = Union[pyspark.sql.types.DataType, str]
class SupportsOpen(Protocol):
def open(self, partition_id: int, epoch_id: int) -> bool:
...
class SupportsProcess(Protocol):
def process(self, row: pyspark.sql.types.Row) -> None:
...
class SupportsClose(Protocol):
def close(self, error: Exception) -> None:
...
PandasScalarUDFType = Literal[200]
PandasScalarIterUDFType = Literal[204]
PandasGroupedMapUDFType = Literal[201]
PandasGroupedAggUDFType = Literal[202]
PandasMapIterUDFType = Literal[205]
class PandasVariadicScalarFunction(Protocol):
def __call__(self, *_: pandas.core.series.Series) -> pandas.core.series.Series:
...
PandasScalarFunction = Union[Callable[[pandas.core.series.Series], pandas.core.series.Series], Callable[[pandas.core.series.Series, pandas.core.series.Series], pandas.core.series.Series], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], pandas.core.series.Series], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], pandas.core.series.Series], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], pandas.core.series.Series], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], pandas.core.series.Series], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], pandas.core.series.Series], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], pandas.core.series.Series], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], pandas.core.series.Series], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], pandas.core.series.Series], PandasVariadicScalarFunction]
PandasScalarIterFunction = Callable[[Iterable[Union[pandas.core.series.Series, Tuple[pandas.core.series.Series, ...], pandas.core.frame.DataFrame]]], Iterable[pandas.core.series.Series]]
PandasGroupedMapFunction = Callable[[pandas.core.frame.DataFrame], pandas.core.frame.DataFrame]
class PandasVariadicGroupedAggFunction(Protocol):
def __call__(self, *_: pandas.core.series.Series) -> LiteralType:
...
PandasGroupedAggFunction = Union[Callable[[pandas.core.series.Series], LiteralType], Callable[[pandas.core.series.Series, pandas.core.series.Series], LiteralType], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], LiteralType], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], LiteralType], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], LiteralType], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], LiteralType], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], LiteralType], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], LiteralType], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], LiteralType], Callable[[pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series, pandas.core.series.Series], LiteralType], PandasVariadicGroupedAggFunction]
PandasMapIterFunction = Callable[[Iterable[pandas.core.frame.DataFrame]], Iterable[pandas.core.frame.DataFrame]]
class UserDefinedFunctionLike(Protocol):
def __call__(self, *_: ColumnOrName) -> Column:
...
MapIterPandasUserDefinedFunction = NewType("MapIterPandasUserDefinedFunction", FunctionType)
GroupedMapPandasUserDefinedFunction = NewType("GroupedMapPandasUserDefinedFunction", FunctionType)