/opt/imh-python/lib/python3.9/site-packages/numpy/typing/tests/data/pass
NameSizeModeActions
__pycache__/-0755rm
arithmetic.py74550644editdlrm
arrayprint.py7660644editdlrm
arrayterator.py3930644editdlrm
array_constructors.py24190644editdlrm
array_like.py9160644editdlrm
bitwise_ops.py9700644editdlrm
comparisons.py29920644editdlrm
dtype.py10690644editdlrm
einsumfunc.py13700644editdlrm
flatiter.py1740644editdlrm
fromnumeric.py37420644editdlrm
index_tricks.py14920644editdlrm
lib_utils.py4340644editdlrm
lib_version.py2990644editdlrm
literal.py13310644editdlrm
mod.py15780644editdlrm
modules.py5760644editdlrm
multiarray.py13310644editdlrm
ndarray_conversion.py16260644editdlrm
ndarray_misc.py27150644editdlrm
ndarray_shape_manipulation.py6400644editdlrm
numeric.py14900644editdlrm
numerictypes.py7500644editdlrm
random.py618810644editdlrm
scalars.py34790644editdlrm
simple.py26760644editdlrm
simple_py3.py960644editdlrm
ufunclike.py10390644editdlrm
ufuncs.py4620644editdlrm
ufunc_config.py12040644editdlrm
warnings_and_errors.py1500644editdlrm
Edit: /opt/imh-python/lib/python3.9/site-packages/numpy/typing/tests/data/pass/arrayterator.py (393B)
from __future__ import annotations from typing import Any import numpy as np AR_i8: np.ndarray[Any, np.dtype[np.int_]] = np.arange(10) ar_iter = np.lib.Arrayterator(AR_i8) ar_iter.var ar_iter.buf_size ar_iter.start ar_iter.stop ar_iter.step ar_iter.shape ar_iter.flat ar_iter.__array__() for i in ar_iter: pass ar_iter[0] ar_iter[...] ar_iter[:] ar_iter[0, 0, 0] ar_iter[..., 0, :]