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

from __future__ import annotations from typing import Any import numpy as np from numpy._typing import ArrayLike, _SupportsArray x1: ArrayLike = True x2: ArrayLike = 5 x3: ArrayLike = 1.0 x4: ArrayLike = 1 + 1j x5: ArrayLike = np.int8(1) x6: ArrayLike = np.float64(1) x7: ArrayLike = np.complex128(1) x8: ArrayLike = np.array([1, 2, 3]) x9: ArrayLike = [1, 2, 3] x10: ArrayLike = (1, 2, 3) x11: ArrayLike = "foo" x12: ArrayLike = memoryview(b'foo') class A: def __array__(self, dtype: None | np.dtype[Any] = None) -> np.ndarray: return np.array([1, 2, 3]) x13: ArrayLike = A() scalar: _SupportsArray = np.int64(1) scalar.__array__() array: _SupportsArray = np.array(1) array.__array__() a: _SupportsArray = A() a.__array__() a.__array__() # Escape hatch for when you mean to make something like an object # array. object_array_scalar: Any = (i for i in range(10)) np.array(object_array_scalar)