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

import numpy as np
import numpy.typing as npt

AR_f8: npt.NDArray[np.float64] = np.array([1.0])
AR_i4 = np.array([1], dtype=np.int32)
AR_u1 = np.array([1], dtype=np.uint8)

AR_LIKE_f = [1.5]
AR_LIKE_i = [1]

b_f8 = np.broadcast(AR_f8)
b_i4_f8_f8 = np.broadcast(AR_i4, AR_f8, AR_f8)

next(b_f8)
b_f8.reset()
b_f8.index
b_f8.iters
b_f8.nd
b_f8.ndim
b_f8.numiter
b_f8.shape
b_f8.size

next(b_i4_f8_f8)
b_i4_f8_f8.reset()
b_i4_f8_f8.ndim
b_i4_f8_f8.index
b_i4_f8_f8.iters
b_i4_f8_f8.nd
b_i4_f8_f8.numiter
b_i4_f8_f8.shape
b_i4_f8_f8.size

np.inner(AR_f8, AR_i4)

np.where([True, True, False])
np.where([True, True, False], 1, 0)

np.lexsort([0, 1, 2])

np.can_cast(np.dtype("i8"), int)
np.can_cast(AR_f8, "f8")
np.can_cast(AR_f8, np.complex128, casting="unsafe")

np.min_scalar_type([1])
np.min_scalar_type(AR_f8)

np.result_type(int, AR_i4)
np.result_type(AR_f8, AR_u1)
np.result_type(AR_f8, np.complex128)

np.dot(AR_LIKE_f, AR_i4)
np.dot(AR_u1, 1)
np.dot(1.5j, 1)
np.dot(AR_u1, 1, out=AR_f8)

np.vdot(AR_LIKE_f, AR_i4)
np.vdot(AR_u1, 1)
np.vdot(1.5j, 1)

np.bincount(AR_i4)

np.copyto(AR_f8, [1.6])

np.putmask(AR_f8, [True], 1.5)

np.packbits(AR_i4)
np.packbits(AR_u1)

np.unpackbits(AR_u1)

np.shares_memory(1, 2)
np.shares_memory(AR_f8, AR_f8, max_work=1)

np.may_share_memory(1, 2)
np.may_share_memory(AR_f8, AR_f8, max_work=1)

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