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

NameTypeSizeLast ModifiedActions
__pycache__ Directory - -
arithmetic.py File 7455 bytes April 17 2025 13:10:58.
array_constructors.py File 2419 bytes April 17 2025 13:10:58.
array_like.py File 916 bytes April 17 2025 13:10:58.
arrayprint.py File 766 bytes April 17 2025 13:10:58.
arrayterator.py File 393 bytes April 17 2025 13:10:58.
bitwise_ops.py File 970 bytes April 17 2025 13:10:58.
comparisons.py File 2992 bytes April 17 2025 13:10:58.
dtype.py File 1069 bytes April 17 2025 13:10:58.
einsumfunc.py File 1370 bytes April 17 2025 13:10:58.
flatiter.py File 174 bytes April 17 2025 13:10:58.
fromnumeric.py File 3742 bytes April 17 2025 13:10:58.
index_tricks.py File 1492 bytes April 17 2025 13:10:58.
lib_utils.py File 420 bytes April 17 2025 13:10:58.
lib_version.py File 299 bytes April 17 2025 13:10:58.
literal.py File 1331 bytes April 17 2025 13:10:58.
mod.py File 1578 bytes April 17 2025 13:10:58.
modules.py File 595 bytes April 17 2025 13:10:58.
multiarray.py File 1331 bytes April 17 2025 13:10:58.
ndarray_conversion.py File 1626 bytes April 17 2025 13:10:58.
ndarray_misc.py File 2715 bytes April 17 2025 13:10:58.
ndarray_shape_manipulation.py File 640 bytes April 17 2025 13:10:58.
numeric.py File 1490 bytes April 17 2025 13:10:58.
numerictypes.py File 750 bytes April 17 2025 13:10:58.
random.py File 61881 bytes April 17 2025 13:10:58.
scalars.py File 3479 bytes April 17 2025 13:10:58.
simple.py File 2676 bytes April 17 2025 13:10:58.
simple_py3.py File 96 bytes April 17 2025 13:10:58.
ufunc_config.py File 1120 bytes April 17 2025 13:10:58.
ufunclike.py File 1039 bytes April 17 2025 13:10:58.
ufuncs.py File 462 bytes April 17 2025 13:10:58.
warnings_and_errors.py File 150 bytes April 17 2025 13:10:58.

Reading File: //opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/pass/ufuncs.py

import numpy as np

np.sin(1)
np.sin([1, 2, 3])
np.sin(1, out=np.empty(1))
np.matmul(np.ones((2, 2, 2)), np.ones((2, 2, 2)), axes=[(0, 1), (0, 1), (0, 1)])
np.sin(1, signature="D->D")
np.sin(1, extobj=[16, 1, lambda: None])
# NOTE: `np.generic` subclasses are not guaranteed to support addition;
# re-enable this we can infer the exact return type of `np.sin(...)`.
#
# np.sin(1) + np.sin(1)
np.sin.types[0]
np.sin.__name__
np.sin.__doc__

np.abs(np.array([1]))

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