Initial configuration commit
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31c8abea59
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typings/numpy/linalg/__init__.pyi
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14
typings/numpy/linalg/__init__.pyi
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"""
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This type stub file was generated by pyright.
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"""
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from numpy.linalg.linalg import cholesky as cholesky, cond as cond, det as det, eig as eig, eigh as eigh, eigvals as eigvals, eigvalsh as eigvalsh, inv as inv, lstsq as lstsq, matrix_power as matrix_power, matrix_rank as matrix_rank, multi_dot as multi_dot, norm as norm, pinv as pinv, qr as qr, slogdet as slogdet, solve as solve, svd as svd, tensorinv as tensorinv, tensorsolve as tensorsolve
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from numpy._pytesttester import PytestTester
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__all__: list[str]
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__path__: list[str]
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test: PytestTester
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class LinAlgError(Exception):
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...
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233
typings/numpy/linalg/linalg.pyi
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233
typings/numpy/linalg/linalg.pyi
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"""
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This type stub file was generated by pyright.
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"""
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from collections.abc import Iterable
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from typing import Any, Literal as L, NamedTuple, SupportsIndex, SupportsInt, TypeVar, overload
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from numpy import complex128, complexfloating, float64, floating, generic, int32
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from numpy._typing import ArrayLike, NDArray, _ArrayLikeComplex_co, _ArrayLikeFloat_co, _ArrayLikeInt_co, _ArrayLikeObject_co, _ArrayLikeTD64_co
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_T = TypeVar("_T")
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_ArrayType = TypeVar("_ArrayType", bound=NDArray[Any])
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_SCT = TypeVar("_SCT", bound=generic, covariant=True)
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_SCT2 = TypeVar("_SCT2", bound=generic, covariant=True)
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_2Tuple = tuple[_T, _T]
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_ModeKind = L["reduced", "complete", "r", "raw"]
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__all__: list[str]
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class EigResult(NamedTuple):
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eigenvalues: NDArray[Any]
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eigenvectors: NDArray[Any]
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...
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class EighResult(NamedTuple):
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eigenvalues: NDArray[Any]
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eigenvectors: NDArray[Any]
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...
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class QRResult(NamedTuple):
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Q: NDArray[Any]
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R: NDArray[Any]
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...
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class SlogdetResult(NamedTuple):
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sign: Any
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logabsdet: Any
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...
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class SVDResult(NamedTuple):
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U: NDArray[Any]
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S: NDArray[Any]
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Vh: NDArray[Any]
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...
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@overload
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def tensorsolve(a: _ArrayLikeInt_co, b: _ArrayLikeInt_co, axes: None | Iterable[int] = ...) -> NDArray[float64]:
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...
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@overload
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def tensorsolve(a: _ArrayLikeFloat_co, b: _ArrayLikeFloat_co, axes: None | Iterable[int] = ...) -> NDArray[floating[Any]]:
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...
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@overload
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def tensorsolve(a: _ArrayLikeComplex_co, b: _ArrayLikeComplex_co, axes: None | Iterable[int] = ...) -> NDArray[complexfloating[Any, Any]]:
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...
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@overload
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def solve(a: _ArrayLikeInt_co, b: _ArrayLikeInt_co) -> NDArray[float64]:
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...
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@overload
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def solve(a: _ArrayLikeFloat_co, b: _ArrayLikeFloat_co) -> NDArray[floating[Any]]:
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...
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@overload
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def solve(a: _ArrayLikeComplex_co, b: _ArrayLikeComplex_co) -> NDArray[complexfloating[Any, Any]]:
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...
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@overload
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def tensorinv(a: _ArrayLikeInt_co, ind: int = ...) -> NDArray[float64]:
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...
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@overload
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def tensorinv(a: _ArrayLikeFloat_co, ind: int = ...) -> NDArray[floating[Any]]:
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...
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@overload
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def tensorinv(a: _ArrayLikeComplex_co, ind: int = ...) -> NDArray[complexfloating[Any, Any]]:
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...
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@overload
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def inv(a: _ArrayLikeInt_co) -> NDArray[float64]:
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...
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@overload
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def inv(a: _ArrayLikeFloat_co) -> NDArray[floating[Any]]:
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...
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@overload
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def inv(a: _ArrayLikeComplex_co) -> NDArray[complexfloating[Any, Any]]:
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...
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def matrix_power(a: _ArrayLikeComplex_co | _ArrayLikeObject_co, n: SupportsIndex) -> NDArray[Any]:
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...
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@overload
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def cholesky(a: _ArrayLikeInt_co) -> NDArray[float64]:
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...
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@overload
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def cholesky(a: _ArrayLikeFloat_co) -> NDArray[floating[Any]]:
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...
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@overload
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def cholesky(a: _ArrayLikeComplex_co) -> NDArray[complexfloating[Any, Any]]:
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...
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@overload
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def qr(a: _ArrayLikeInt_co, mode: _ModeKind = ...) -> QRResult:
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...
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@overload
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def qr(a: _ArrayLikeFloat_co, mode: _ModeKind = ...) -> QRResult:
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...
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@overload
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def qr(a: _ArrayLikeComplex_co, mode: _ModeKind = ...) -> QRResult:
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...
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@overload
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def eigvals(a: _ArrayLikeInt_co) -> NDArray[float64] | NDArray[complex128]:
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...
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@overload
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def eigvals(a: _ArrayLikeFloat_co) -> NDArray[floating[Any]] | NDArray[complexfloating[Any, Any]]:
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...
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@overload
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def eigvals(a: _ArrayLikeComplex_co) -> NDArray[complexfloating[Any, Any]]:
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...
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@overload
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def eigvalsh(a: _ArrayLikeInt_co, UPLO: L["L", "U", "l", "u"] = ...) -> NDArray[float64]:
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...
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@overload
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def eigvalsh(a: _ArrayLikeComplex_co, UPLO: L["L", "U", "l", "u"] = ...) -> NDArray[floating[Any]]:
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...
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@overload
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def eig(a: _ArrayLikeInt_co) -> EigResult:
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...
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@overload
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def eig(a: _ArrayLikeFloat_co) -> EigResult:
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...
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@overload
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def eig(a: _ArrayLikeComplex_co) -> EigResult:
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...
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@overload
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def eigh(a: _ArrayLikeInt_co, UPLO: L["L", "U", "l", "u"] = ...) -> EighResult:
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...
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@overload
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def eigh(a: _ArrayLikeFloat_co, UPLO: L["L", "U", "l", "u"] = ...) -> EighResult:
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...
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@overload
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def eigh(a: _ArrayLikeComplex_co, UPLO: L["L", "U", "l", "u"] = ...) -> EighResult:
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...
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@overload
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def svd(a: _ArrayLikeInt_co, full_matrices: bool = ..., compute_uv: L[True] = ..., hermitian: bool = ...) -> SVDResult:
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...
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@overload
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def svd(a: _ArrayLikeFloat_co, full_matrices: bool = ..., compute_uv: L[True] = ..., hermitian: bool = ...) -> SVDResult:
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...
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@overload
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def svd(a: _ArrayLikeComplex_co, full_matrices: bool = ..., compute_uv: L[True] = ..., hermitian: bool = ...) -> SVDResult:
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...
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@overload
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def svd(a: _ArrayLikeInt_co, full_matrices: bool = ..., compute_uv: L[False] = ..., hermitian: bool = ...) -> NDArray[float64]:
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...
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@overload
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def svd(a: _ArrayLikeComplex_co, full_matrices: bool = ..., compute_uv: L[False] = ..., hermitian: bool = ...) -> NDArray[floating[Any]]:
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...
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def cond(x: _ArrayLikeComplex_co, p: None | float | L["fro", "nuc"] = ...) -> Any:
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...
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def matrix_rank(A: _ArrayLikeComplex_co, tol: None | _ArrayLikeFloat_co = ..., hermitian: bool = ...) -> Any:
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...
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@overload
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def pinv(a: _ArrayLikeInt_co, rcond: _ArrayLikeFloat_co = ..., hermitian: bool = ...) -> NDArray[float64]:
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...
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@overload
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def pinv(a: _ArrayLikeFloat_co, rcond: _ArrayLikeFloat_co = ..., hermitian: bool = ...) -> NDArray[floating[Any]]:
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...
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@overload
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def pinv(a: _ArrayLikeComplex_co, rcond: _ArrayLikeFloat_co = ..., hermitian: bool = ...) -> NDArray[complexfloating[Any, Any]]:
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...
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def slogdet(a: _ArrayLikeComplex_co) -> SlogdetResult:
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...
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def det(a: _ArrayLikeComplex_co) -> Any:
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...
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@overload
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def lstsq(a: _ArrayLikeInt_co, b: _ArrayLikeInt_co, rcond: None | float = ...) -> tuple[NDArray[float64], NDArray[float64], int32, NDArray[float64],]:
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...
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@overload
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def lstsq(a: _ArrayLikeFloat_co, b: _ArrayLikeFloat_co, rcond: None | float = ...) -> tuple[NDArray[floating[Any]], NDArray[floating[Any]], int32, NDArray[floating[Any]],]:
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...
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@overload
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def lstsq(a: _ArrayLikeComplex_co, b: _ArrayLikeComplex_co, rcond: None | float = ...) -> tuple[NDArray[complexfloating[Any, Any]], NDArray[floating[Any]], int32, NDArray[floating[Any]],]:
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...
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@overload
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def norm(x: ArrayLike, ord: None | float | L["fro", "nuc"] = ..., axis: None = ..., keepdims: bool = ...) -> floating[Any]:
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...
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@overload
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def norm(x: ArrayLike, ord: None | float | L["fro", "nuc"] = ..., axis: SupportsInt | SupportsIndex | tuple[int, ...] = ..., keepdims: bool = ...) -> Any:
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...
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def multi_dot(arrays: Iterable[_ArrayLikeComplex_co | _ArrayLikeObject_co | _ArrayLikeTD64_co], *, out: None | NDArray[Any] = ...) -> Any:
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...
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