PATH:
opt
/
cloudlinux
/
venv
/
lib
/
python3.11
/
site-packages
/
numpy
/
typing
/
tests
/
data
/
pass
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]))
[-] dtype.py
[open]
[-] ndarray_misc.py
[open]
[+]
..
[-] multiarray.py
[open]
[-] literal.py
[open]
[-] arrayprint.py
[open]
[-] index_tricks.py
[open]
[+]
__pycache__
[-] arrayterator.py
[open]
[-] lib_utils.py
[open]
[-] ufunc_config.py
[open]
[-] flatiter.py
[open]
[-] fromnumeric.py
[open]
[-] array_like.py
[open]
[-] random.py
[open]
[-] ufuncs.py
[open]
[-] simple_py3.py
[open]
[-] mod.py
[open]
[-] einsumfunc.py
[open]
[-] arithmetic.py
[open]
[-] ufunclike.py
[open]
[-] numerictypes.py
[open]
[-] warnings_and_errors.py
[open]
[-] array_constructors.py
[open]
[-] bitwise_ops.py
[open]
[-] numeric.py
[open]
[-] modules.py
[open]
[-] simple.py
[open]
[-] scalars.py
[open]
[-] ndarray_shape_manipulation.py
[open]
[-] comparisons.py
[open]
[-] lib_version.py
[open]
[-] ndarray_conversion.py
[open]