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| from typing import (
| Any,
| Callable,
| Iterable,
| Literal,
| TypeAlias,
| overload,
| )
|
| import numpy as np
|
| from pandas._typing import npt
|
| _BinOp: TypeAlias = Callable[[Any, Any], Any]
| _BoolOp: TypeAlias = Callable[[Any, Any], bool]
|
| def scalar_compare(
| values: np.ndarray, # object[:]
| val: object,
| op: _BoolOp, # {operator.eq, operator.ne, ...}
| ) -> npt.NDArray[np.bool_]: ...
| def vec_compare(
| left: npt.NDArray[np.object_],
| right: npt.NDArray[np.object_],
| op: _BoolOp, # {operator.eq, operator.ne, ...}
| ) -> npt.NDArray[np.bool_]: ...
| def scalar_binop(
| values: np.ndarray, # object[:]
| val: object,
| op: _BinOp, # binary operator
| ) -> np.ndarray: ...
| def vec_binop(
| left: np.ndarray, # object[:]
| right: np.ndarray, # object[:]
| op: _BinOp, # binary operator
| ) -> np.ndarray: ...
| @overload
| def maybe_convert_bool(
| arr: npt.NDArray[np.object_],
| true_values: Iterable | None = None,
| false_values: Iterable | None = None,
| convert_to_masked_nullable: Literal[False] = ...,
| ) -> tuple[np.ndarray, None]: ...
| @overload
| def maybe_convert_bool(
| arr: npt.NDArray[np.object_],
| true_values: Iterable = ...,
| false_values: Iterable = ...,
| *,
| convert_to_masked_nullable: Literal[True],
| ) -> tuple[np.ndarray, np.ndarray]: ...
|
|
