Name	Size	Mode	Actions
__pycache__/	-	0755	rm
arithmetic.py	7455	0644	editdlrm
arrayprint.py	766	0644	editdlrm
arrayterator.py	393	0644	editdlrm
array_constructors.py	2419	0644	editdlrm
array_like.py	916	0644	editdlrm
bitwise_ops.py	970	0644	editdlrm
comparisons.py	2992	0644	editdlrm
dtype.py	1069	0644	editdlrm
einsumfunc.py	1370	0644	editdlrm
flatiter.py	174	0644	editdlrm
fromnumeric.py	3742	0644	editdlrm
index_tricks.py	1492	0644	editdlrm
lib_utils.py	434	0644	editdlrm
lib_version.py	299	0644	editdlrm
literal.py	1331	0644	editdlrm
mod.py	1578	0644	editdlrm
modules.py	576	0644	editdlrm
multiarray.py	1331	0644	editdlrm
ndarray_conversion.py	1626	0644	editdlrm
ndarray_misc.py	2715	0644	editdlrm
ndarray_shape_manipulation.py	640	0644	editdlrm
numeric.py	1490	0644	editdlrm
numerictypes.py	750	0644	editdlrm
random.py	61881	0644	editdlrm
scalars.py	3479	0644	editdlrm
simple.py	2676	0644	editdlrm
simple_py3.py	96	0644	editdlrm
ufunclike.py	1039	0644	editdlrm
ufuncs.py	462	0644	editdlrm
ufunc_config.py	1204	0644	editdlrm
warnings_and_errors.py	150	0644	editdlrm

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]))