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