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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/mod.py

import numpy as np

f8 = np.float64(1)
i8 = np.int64(1)
u8 = np.uint64(1)

f4 = np.float32(1)
i4 = np.int32(1)
u4 = np.uint32(1)

td = np.timedelta64(1, "D")
b_ = np.bool_(1)

b = bool(1)
f = float(1)
i = int(1)

AR = np.array([1], dtype=np.bool_)
AR.setflags(write=False)

AR2 = np.array([1], dtype=np.timedelta64)
AR2.setflags(write=False)

# Time structures

td % td
td % AR2
AR2 % td

divmod(td, td)
divmod(td, AR2)
divmod(AR2, td)

# Bool

b_ % b
b_ % i
b_ % f
b_ % b_
b_ % i8
b_ % u8
b_ % f8
b_ % AR

divmod(b_, b)
divmod(b_, i)
divmod(b_, f)
divmod(b_, b_)
divmod(b_, i8)
divmod(b_, u8)
divmod(b_, f8)
divmod(b_, AR)

b % b_
i % b_
f % b_
b_ % b_
i8 % b_
u8 % b_
f8 % b_
AR % b_

divmod(b, b_)
divmod(i, b_)
divmod(f, b_)
divmod(b_, b_)
divmod(i8, b_)
divmod(u8, b_)
divmod(f8, b_)
divmod(AR, b_)

# int

i8 % b
i8 % i
i8 % f
i8 % i8
i8 % f8
i4 % i8
i4 % f8
i4 % i4
i4 % f4
i8 % AR

divmod(i8, b)
divmod(i8, i)
divmod(i8, f)
divmod(i8, i8)
divmod(i8, f8)
divmod(i8, i4)
divmod(i8, f4)
divmod(i4, i4)
divmod(i4, f4)
divmod(i8, AR)

b % i8
i % i8
f % i8
i8 % i8
f8 % i8
i8 % i4
f8 % i4
i4 % i4
f4 % i4
AR % i8

divmod(b, i8)
divmod(i, i8)
divmod(f, i8)
divmod(i8, i8)
divmod(f8, i8)
divmod(i4, i8)
divmod(f4, i8)
divmod(i4, i4)
divmod(f4, i4)
divmod(AR, i8)

# float

f8 % b
f8 % i
f8 % f
i8 % f4
f4 % f4
f8 % AR

divmod(f8, b)
divmod(f8, i)
divmod(f8, f)
divmod(f8, f8)
divmod(f8, f4)
divmod(f4, f4)
divmod(f8, AR)

b % f8
i % f8
f % f8
f8 % f8
f8 % f8
f4 % f4
AR % f8

divmod(b, f8)
divmod(i, f8)
divmod(f, f8)
divmod(f8, f8)
divmod(f4, f8)
divmod(f4, f4)
divmod(AR, f8)

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