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Files and Folders in: //opt/cloudlinux/venv/lib64/python3.11//site-packages/numpy/typing/tests//data/reveal

NameTypeSizeLast ModifiedActions
arithmetic.pyi File 20805 bytes April 17 2025 13:10:58.
array_constructors.pyi File 11831 bytes April 17 2025 13:10:58.
arraypad.pyi File 694 bytes April 17 2025 13:10:58.
arrayprint.pyi File 686 bytes April 17 2025 13:10:58.
arraysetops.pyi File 4671 bytes April 17 2025 13:10:58.
arrayterator.pyi File 1128 bytes April 17 2025 13:10:58.
bitwise_ops.pyi File 3607 bytes April 17 2025 13:10:58.
char.pyi File 8047 bytes April 17 2025 13:10:58.
chararray.pyi File 6312 bytes April 17 2025 13:10:58.
comparisons.pyi File 8018 bytes April 17 2025 13:10:58.
constants.pyi File 1940 bytes April 17 2025 13:10:58.
ctypeslib.pyi File 5107 bytes April 17 2025 13:10:58.
datasource.pyi File 557 bytes April 17 2025 13:10:58.
dtype.pyi File 2787 bytes April 17 2025 13:10:58.
einsumfunc.pyi File 2173 bytes April 17 2025 13:10:58.
emath.pyi File 2538 bytes April 17 2025 13:10:58.
false_positives.pyi File 349 bytes April 17 2025 13:10:58.
fft.pyi File 1852 bytes April 17 2025 13:10:58.
flatiter.pyi File 819 bytes April 17 2025 13:10:58.
fromnumeric.pyi File 13631 bytes April 17 2025 13:10:58.
getlimits.pyi File 1547 bytes April 17 2025 13:10:58.
histograms.pyi File 1391 bytes April 17 2025 13:10:58.
index_tricks.pyi File 3481 bytes April 17 2025 13:10:58.
lib_function_base.pyi File 9140 bytes April 17 2025 13:10:58.
lib_polynomial.pyi File 6353 bytes April 17 2025 13:10:58.
lib_utils.pyi File 917 bytes April 17 2025 13:10:58.
lib_version.pyi File 605 bytes April 17 2025 13:10:58.
linalg.pyi File 5217 bytes April 17 2025 13:10:58.
matrix.pyi File 3033 bytes April 17 2025 13:10:58.
memmap.pyi File 755 bytes April 17 2025 13:10:58.
mod.pyi File 5989 bytes April 17 2025 13:10:58.
modules.pyi File 1994 bytes April 17 2025 13:10:58.
multiarray.pyi File 5670 bytes April 17 2025 13:10:58.
nbit_base_example.pyi File 500 bytes April 17 2025 13:10:58.
ndarray_conversion.pyi File 1913 bytes April 17 2025 13:10:58.
ndarray_misc.pyi File 7797 bytes April 17 2025 13:10:58.
ndarray_shape_manipulation.pyi File 904 bytes April 17 2025 13:10:58.
nditer.pyi File 2067 bytes April 17 2025 13:10:58.
nested_sequence.pyi File 648 bytes April 17 2025 13:10:58.
npyio.pyi File 4434 bytes April 17 2025 13:10:58.
numeric.pyi File 6802 bytes April 17 2025 13:10:58.
numerictypes.pyi File 1711 bytes April 17 2025 13:10:58.
random.pyi File 129510 bytes April 17 2025 13:10:58.
rec.pyi File 3380 bytes April 17 2025 13:10:58.
scalars.pyi File 5347 bytes April 17 2025 13:10:58.
shape_base.pyi File 2632 bytes April 17 2025 13:10:58.
stride_tricks.pyi File 1563 bytes April 17 2025 13:10:58.
testing.pyi File 8877 bytes April 17 2025 13:10:58.
twodim_base.pyi File 3327 bytes April 17 2025 13:10:58.
type_check.pyi File 3031 bytes April 17 2025 13:10:58.
ufunc_config.pyi File 1304 bytes April 17 2025 13:10:58.
ufunclike.pyi File 1319 bytes April 17 2025 13:10:58.
ufuncs.pyi File 2919 bytes April 17 2025 13:10:58.
version.pyi File 313 bytes April 17 2025 13:10:58.
warnings_and_errors.pyi File 420 bytes April 17 2025 13:10:58.

Reading File: //opt/cloudlinux/venv/lib64/python3.11//site-packages/numpy/typing/tests//data/reveal/matrix.pyi

from typing import Any
import numpy as np
import numpy.typing as npt

mat: np.matrix[Any, np.dtype[np.int64]]
ar_f8: npt.NDArray[np.float64]

reveal_type(mat * 5)  # E: matrix[Any, Any]
reveal_type(5 * mat)  # E: matrix[Any, Any]
mat *= 5

reveal_type(mat**5)  # E: matrix[Any, Any]
mat **= 5

reveal_type(mat.sum())  # E: Any
reveal_type(mat.mean())  # E: Any
reveal_type(mat.std())  # E: Any
reveal_type(mat.var())  # E: Any
reveal_type(mat.prod())  # E: Any
reveal_type(mat.any())  # E: bool_
reveal_type(mat.all())  # E: bool_
reveal_type(mat.max())  # E: {int64}
reveal_type(mat.min())  # E: {int64}
reveal_type(mat.argmax())  # E: {intp}
reveal_type(mat.argmin())  # E: {intp}
reveal_type(mat.ptp())  # E: {int64}

reveal_type(mat.sum(axis=0))  # E: matrix[Any, Any]
reveal_type(mat.mean(axis=0))  # E: matrix[Any, Any]
reveal_type(mat.std(axis=0))  # E: matrix[Any, Any]
reveal_type(mat.var(axis=0))  # E: matrix[Any, Any]
reveal_type(mat.prod(axis=0))  # E: matrix[Any, Any]
reveal_type(mat.any(axis=0))  # E: matrix[Any, dtype[bool_]]
reveal_type(mat.all(axis=0))  # E: matrix[Any, dtype[bool_]]
reveal_type(mat.max(axis=0))  # E: matrix[Any, dtype[{int64}]]
reveal_type(mat.min(axis=0))  # E: matrix[Any, dtype[{int64}]]
reveal_type(mat.argmax(axis=0))  # E: matrix[Any, dtype[{intp}]]
reveal_type(mat.argmin(axis=0))  # E: matrix[Any, dtype[{intp}]]
reveal_type(mat.ptp(axis=0))  # E: matrix[Any, dtype[{int64}]]

reveal_type(mat.sum(out=ar_f8))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.mean(out=ar_f8))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.std(out=ar_f8))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.var(out=ar_f8))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.prod(out=ar_f8))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.any(out=ar_f8))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.all(out=ar_f8))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.max(out=ar_f8))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.min(out=ar_f8))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.argmax(out=ar_f8))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.argmin(out=ar_f8))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(mat.ptp(out=ar_f8))  # E: ndarray[Any, dtype[{float64}]]

reveal_type(mat.T)  # E: matrix[Any, dtype[{int64}]]
reveal_type(mat.I)  # E: matrix[Any, Any]
reveal_type(mat.A)  # E: ndarray[Any, dtype[{int64}]]
reveal_type(mat.A1)  # E: ndarray[Any, dtype[{int64}]]
reveal_type(mat.H)  # E: matrix[Any, dtype[{int64}]]
reveal_type(mat.getT())  # E: matrix[Any, dtype[{int64}]]
reveal_type(mat.getI())  # E: matrix[Any, Any]
reveal_type(mat.getA())  # E: ndarray[Any, dtype[{int64}]]
reveal_type(mat.getA1())  # E: ndarray[Any, dtype[{int64}]]
reveal_type(mat.getH())  # E: matrix[Any, dtype[{int64}]]

reveal_type(np.bmat(ar_f8))  # E: matrix[Any, Any]
reveal_type(np.bmat([[0, 1, 2]]))  # E: matrix[Any, Any]
reveal_type(np.bmat("mat"))  # E: matrix[Any, Any]

reveal_type(np.asmatrix(ar_f8, dtype=np.int64))  # E: matrix[Any, Any]

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