43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
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from collections.abc import Iterable
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from typing import Any, TypeVar, Union, overload, Literal
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from numpy import ndarray
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from numpy._typing import DTypeLike, _SupportsArrayFunc
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_ArrayType = TypeVar("_ArrayType", bound=ndarray[Any, Any])
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_Requirements = Literal[
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"C", "C_CONTIGUOUS", "CONTIGUOUS",
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"F", "F_CONTIGUOUS", "FORTRAN",
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"A", "ALIGNED",
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"W", "WRITEABLE",
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"O", "OWNDATA"
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]
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_E = Literal["E", "ENSUREARRAY"]
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_RequirementsWithE = Union[_Requirements, _E]
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@overload
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def require(
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a: _ArrayType,
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dtype: None = ...,
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requirements: None | _Requirements | Iterable[_Requirements] = ...,
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*,
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like: _SupportsArrayFunc = ...
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) -> _ArrayType: ...
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@overload
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def require(
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a: object,
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dtype: DTypeLike = ...,
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requirements: _E | Iterable[_RequirementsWithE] = ...,
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*,
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like: _SupportsArrayFunc = ...
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) -> ndarray[Any, Any]: ...
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@overload
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def require(
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a: object,
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dtype: DTypeLike = ...,
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requirements: None | _Requirements | Iterable[_Requirements] = ...,
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*,
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like: _SupportsArrayFunc = ...
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) -> ndarray[Any, Any]: ...
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