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- 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]: ...
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