🔐 Sid Gifari File Manager Pro
v8.0.5 | 2026-06-15 09:51:59 | PHP 8.1.34
📂
/ (Root)
/
opt
/
cloudlinux
/
venv
/
lib
/
python3.11
/
site-packages
/
numpy
/
typing
/
tests
/
data
/
reveal
📍 /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/reveal
🔄 Refresh
✏️
Editing: linalg.pyi
Read Only
import numpy as np import numpy.typing as npt AR_i8: npt.NDArray[np.int64] AR_f8: npt.NDArray[np.float64] AR_c16: npt.NDArray[np.complex128] AR_O: npt.NDArray[np.object_] AR_m: npt.NDArray[np.timedelta64] AR_S: npt.NDArray[np.str_] reveal_type(np.linalg.tensorsolve(AR_i8, AR_i8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.linalg.tensorsolve(AR_i8, AR_f8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.linalg.tensorsolve(AR_c16, AR_f8)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.linalg.solve(AR_i8, AR_i8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.linalg.solve(AR_i8, AR_f8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.linalg.solve(AR_c16, AR_f8)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.linalg.tensorinv(AR_i8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.linalg.tensorinv(AR_f8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.linalg.tensorinv(AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.linalg.inv(AR_i8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.linalg.inv(AR_f8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.linalg.inv(AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.linalg.matrix_power(AR_i8, -1)) # E: ndarray[Any, dtype[Any]] reveal_type(np.linalg.matrix_power(AR_f8, 0)) # E: ndarray[Any, dtype[Any]] reveal_type(np.linalg.matrix_power(AR_c16, 1)) # E: ndarray[Any, dtype[Any]] reveal_type(np.linalg.matrix_power(AR_O, 2)) # E: ndarray[Any, dtype[Any]] reveal_type(np.linalg.cholesky(AR_i8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.linalg.cholesky(AR_f8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.linalg.cholesky(AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.linalg.qr(AR_i8)) # E: QRResult reveal_type(np.linalg.qr(AR_f8)) # E: QRResult reveal_type(np.linalg.qr(AR_c16)) # E: QRResult reveal_type(np.linalg.eigvals(AR_i8)) # E: Union[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{complex128}]]] reveal_type(np.linalg.eigvals(AR_f8)) # E: Union[ndarray[Any, dtype[floating[Any]]], ndarray[Any, dtype[complexfloating[Any, Any]]]] reveal_type(np.linalg.eigvals(AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.linalg.eigvalsh(AR_i8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.linalg.eigvalsh(AR_f8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.linalg.eigvalsh(AR_c16)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.linalg.eig(AR_i8)) # E: EigResult reveal_type(np.linalg.eig(AR_f8)) # E: EigResult reveal_type(np.linalg.eig(AR_c16)) # E: EigResult reveal_type(np.linalg.eigh(AR_i8)) # E: EighResult reveal_type(np.linalg.eigh(AR_f8)) # E: EighResult reveal_type(np.linalg.eigh(AR_c16)) # E: EighResult reveal_type(np.linalg.svd(AR_i8)) # E: SVDResult reveal_type(np.linalg.svd(AR_f8)) # E: SVDResult reveal_type(np.linalg.svd(AR_c16)) # E: SVDResult reveal_type(np.linalg.svd(AR_i8, compute_uv=False)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.linalg.svd(AR_f8, compute_uv=False)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.linalg.svd(AR_c16, compute_uv=False)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.linalg.cond(AR_i8)) # E: Any reveal_type(np.linalg.cond(AR_f8)) # E: Any reveal_type(np.linalg.cond(AR_c16)) # E: Any reveal_type(np.linalg.matrix_rank(AR_i8)) # E: Any reveal_type(np.linalg.matrix_rank(AR_f8)) # E: Any reveal_type(np.linalg.matrix_rank(AR_c16)) # E: Any reveal_type(np.linalg.pinv(AR_i8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.linalg.pinv(AR_f8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.linalg.pinv(AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.linalg.slogdet(AR_i8)) # E: SlogdetResult reveal_type(np.linalg.slogdet(AR_f8)) # E: SlogdetResult reveal_type(np.linalg.slogdet(AR_c16)) # E: SlogdetResult reveal_type(np.linalg.det(AR_i8)) # E: Any reveal_type(np.linalg.det(AR_f8)) # E: Any reveal_type(np.linalg.det(AR_c16)) # E: Any reveal_type(np.linalg.lstsq(AR_i8, AR_i8)) # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{float64}]], {int32}, ndarray[Any, dtype[{float64}]]] reveal_type(np.linalg.lstsq(AR_i8, AR_f8)) # E: Tuple[ndarray[Any, dtype[floating[Any]]], ndarray[Any, dtype[floating[Any]]], {int32}, ndarray[Any, dtype[floating[Any]]]] reveal_type(np.linalg.lstsq(AR_f8, AR_c16)) # E: Tuple[ndarray[Any, dtype[complexfloating[Any, Any]]], ndarray[Any, dtype[floating[Any]]], {int32}, ndarray[Any, dtype[floating[Any]]]] reveal_type(np.linalg.norm(AR_i8)) # E: floating[Any] reveal_type(np.linalg.norm(AR_f8)) # E: floating[Any] reveal_type(np.linalg.norm(AR_c16)) # E: floating[Any] reveal_type(np.linalg.norm(AR_S)) # E: floating[Any] reveal_type(np.linalg.norm(AR_f8, axis=0)) # E: Any reveal_type(np.linalg.multi_dot([AR_i8, AR_i8])) # E: Any reveal_type(np.linalg.multi_dot([AR_i8, AR_f8])) # E: Any reveal_type(np.linalg.multi_dot([AR_f8, AR_c16])) # E: Any reveal_type(np.linalg.multi_dot([AR_O, AR_O])) # E: Any reveal_type(np.linalg.multi_dot([AR_m, AR_m])) # E: Any
💾 Save Changes
❌ Cancel