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- from typing import List, Optional, Any
- from numpy import ndarray, _OrderCF
- from numpy.typing import ArrayLike, DTypeLike
- __all__: List[str]
- def fliplr(m): ...
- def flipud(m): ...
- def eye(
- N: int,
- M: Optional[int] = ...,
- k: int = ...,
- dtype: DTypeLike = ...,
- order: _OrderCF = ...,
- *,
- like: Optional[ArrayLike] = ...
- ) -> ndarray[Any, Any]: ...
- def diag(v, k=...): ...
- def diagflat(v, k=...): ...
- def tri(N, M=..., k=..., dtype = ..., *, like=...): ...
- def tril(m, k=...): ...
- def triu(m, k=...): ...
- def vander(x, N=..., increasing=...): ...
- def histogram2d(x, y, bins=..., range=..., normed=..., weights=..., density=...): ...
- def mask_indices(n, mask_func, k=...): ...
- def tril_indices(n, k=..., m=...): ...
- def tril_indices_from(arr, k=...): ...
- def triu_indices(n, k=..., m=...): ...
- def triu_indices_from(arr, k=...): ...
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