from collections.abc import Iterable from typing import Any, Final, overload from typing_extensions import TypeVar, Unpack import numpy as np from numpy import _CastingKind from numpy._utils import set_module as set_module ### _T = TypeVar("_T") _TupleT = TypeVar("_TupleT", bound=tuple[()] | tuple[Any, Any, Unpack[tuple[Any, ...]]]) _ExceptionT = TypeVar("_ExceptionT", bound=Exception) ### class UFuncTypeError(TypeError): ufunc: Final[np.ufunc] def __init__(self, /, ufunc: np.ufunc) -> None: ... class _UFuncNoLoopError(UFuncTypeError): dtypes: tuple[np.dtype[Any], ...] def __init__(self, /, ufunc: np.ufunc, dtypes: Iterable[np.dtype[Any]]) -> None: ... class _UFuncBinaryResolutionError(_UFuncNoLoopError): dtypes: tuple[np.dtype[Any], np.dtype[Any]] def __init__(self, /, ufunc: np.ufunc, dtypes: Iterable[np.dtype[Any]]) -> None: ... class _UFuncCastingError(UFuncTypeError): casting: Final[_CastingKind] from_: Final[np.dtype[Any]] to: Final[np.dtype[Any]] def __init__(self, /, ufunc: np.ufunc, casting: _CastingKind, from_: np.dtype[Any], to: np.dtype[Any]) -> None: ... class _UFuncInputCastingError(_UFuncCastingError): in_i: Final[int] def __init__( self, /, ufunc: np.ufunc, casting: _CastingKind, from_: np.dtype[Any], to: np.dtype[Any], i: int, ) -> None: ... class _UFuncOutputCastingError(_UFuncCastingError): out_i: Final[int] def __init__( self, /, ufunc: np.ufunc, casting: _CastingKind, from_: np.dtype[Any], to: np.dtype[Any], i: int, ) -> None: ... class _ArrayMemoryError(MemoryError): shape: tuple[int, ...] dtype: np.dtype[Any] def __init__(self, /, shape: tuple[int, ...], dtype: np.dtype[Any]) -> None: ... @property def _total_size(self) -> int: ... @staticmethod def _size_to_string(num_bytes: int) -> str: ... @overload def _unpack_tuple(tup: tuple[_T]) -> _T: ... @overload def _unpack_tuple(tup: _TupleT) -> _TupleT: ... def _display_as_base(cls: type[_ExceptionT]) -> type[_ExceptionT]: ...