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File Name : linalg.pyi

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

Name	Type	Size	Owner/Group	Permission	Last Modified	Actions
.	dir	-	0/0	0755	2026-02-11 05:02:23
..	dir	-	0/0	0755	2026-02-11 05:02:23
arithmetic.pyi	text/x-script.python	20.32 KB	0/0	0644	2026-01-20 01:01:47
array_constructors.pyi	text/x-script.python	11.55 KB	0/0	0644	2026-01-20 01:01:47
arraypad.pyi	text/x-script.python	694 B	0/0	0644	2026-01-20 01:01:47
arrayprint.pyi	text/x-script.python	686 B	0/0	0644	2026-01-20 01:01:47
arraysetops.pyi	text/plain	4.56 KB	0/0	0644	2026-01-20 01:01:47
arrayterator.pyi	text/x-script.python	1.1 KB	0/0	0644	2026-01-20 01:01:47
bitwise_ops.pyi	text/plain	3.52 KB	0/0	0644	2026-01-20 01:01:47
char.pyi	text/x-script.python	7.86 KB	0/0	0644	2026-01-20 01:01:47
chararray.pyi	text/x-script.python	6.16 KB	0/0	0644	2026-01-20 01:01:47
comparisons.pyi	text/plain	7.83 KB	0/0	0644	2026-01-20 01:01:47
constants.pyi	text/plain	1.89 KB	0/0	0644	2026-01-20 01:01:47
ctypeslib.pyi	text/x-script.python	4.99 KB	0/0	0644	2026-01-20 01:01:47
datasource.pyi	text/x-script.python	557 B	0/0	0644	2026-01-20 01:01:47
dtype.pyi	text/plain	2.72 KB	0/0	0644	2026-01-20 01:01:47
einsumfunc.pyi	text/x-script.python	2.12 KB	0/0	0644	2026-01-20 01:01:47
emath.pyi	text/plain	2.48 KB	0/0	0644	2026-01-20 01:01:47
false_positives.pyi	text/x-script.python	349 B	0/0	0644	2026-01-20 01:01:47
fft.pyi	text/plain	1.81 KB	0/0	0644	2026-01-20 01:01:47
flatiter.pyi	text/x-script.python	819 B	0/0	0644	2026-01-20 01:01:47
fromnumeric.pyi	text/plain	13.31 KB	0/0	0644	2026-01-20 01:01:47
getlimits.pyi	text/plain	1.51 KB	0/0	0644	2026-01-20 01:01:47
histograms.pyi	text/plain	1.36 KB	0/0	0644	2026-01-20 01:01:47
index_tricks.pyi	text/x-script.python	3.4 KB	0/0	0644	2026-01-20 01:01:47
lib_function_base.pyi	text/x-script.python	8.93 KB	0/0	0644	2026-01-20 01:01:47
lib_polynomial.pyi	text/plain	6.2 KB	0/0	0644	2026-01-20 01:01:47
lib_utils.pyi	text/x-script.python	917 B	0/0	0644	2026-01-20 01:01:47
lib_version.pyi	text/x-script.python	605 B	0/0	0644	2026-01-20 01:01:47
linalg.pyi	text/plain	5.09 KB	0/0	0644	2026-01-20 01:01:47
matrix.pyi	text/x-script.python	2.96 KB	0/0	0644	2026-01-20 01:01:47
memmap.pyi	text/x-script.python	755 B	0/0	0644	2026-01-20 01:01:47
mod.pyi	text/x-script.python	5.85 KB	0/0	0644	2026-01-20 01:01:47
modules.pyi	text/x-script.python	1.95 KB	0/0	0644	2026-01-20 01:01:47
multiarray.pyi	text/x-script.python	5.54 KB	0/0	0644	2026-01-20 01:01:47
nbit_base_example.pyi	text/x-script.python	500 B	0/0	0644	2026-01-20 01:01:47
ndarray_conversion.pyi	text/plain	1.87 KB	0/0	0644	2026-01-20 01:01:47
ndarray_misc.pyi	text/plain	7.61 KB	0/0	0644	2026-01-20 01:01:47
ndarray_shape_manipulation.pyi	text/plain	904 B	0/0	0644	2026-01-20 01:01:47
nditer.pyi	text/plain	2.02 KB	0/0	0644	2026-01-20 01:01:47
nested_sequence.pyi	text/x-script.python	648 B	0/0	0644	2026-01-20 01:01:47
npyio.pyi	text/x-script.python	4.33 KB	0/0	0644	2026-01-20 01:01:47
numeric.pyi	text/plain	6.64 KB	0/0	0644	2026-01-20 01:01:47
numerictypes.pyi	text/plain	1.67 KB	0/0	0644	2026-01-20 01:01:47
random.pyi	text/x-script.python	126.47 KB	0/0	0644	2026-01-20 01:01:47
rec.pyi	text/x-script.python	3.3 KB	0/0	0644	2026-01-20 01:01:47
scalars.pyi	text/plain	5.22 KB	0/0	0644	2026-01-20 01:01:47
shape_base.pyi	text/x-script.python	2.57 KB	0/0	0644	2026-01-20 01:01:47
stride_tricks.pyi	text/x-script.python	1.53 KB	0/0	0644	2026-01-20 01:01:47
testing.pyi	text/x-script.python	8.67 KB	0/0	0644	2026-01-20 01:01:47
twodim_base.pyi	text/x-script.python	3.25 KB	0/0	0644	2026-01-20 01:01:47
type_check.pyi	text/x-script.python	2.96 KB	0/0	0644	2026-01-20 01:01:47
ufunc_config.pyi	text/plain	1.27 KB	0/0	0644	2026-01-20 01:01:47
ufunclike.pyi	text/x-script.python	1.29 KB	0/0	0644	2026-01-20 01:01:47
ufuncs.pyi	text/plain	2.85 KB	0/0	0644	2026-01-20 01:01:47
version.pyi	text/plain	313 B	0/0	0644	2026-01-20 01:01:47
warnings_and_errors.pyi	text/plain	420 B	0/0	0644	2026-01-20 01:01:47

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