/usr/lib/python2.7/dist-packages/numpy/lib/tests/test_arrayterator.py is in python-numpy 1:1.12.1-3.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | from __future__ import division, absolute_import, print_function
from operator import mul
from functools import reduce
import numpy as np
from numpy.random import randint
from numpy.lib import Arrayterator
from numpy.testing import assert_
def test():
np.random.seed(np.arange(10))
# Create a random array
ndims = randint(5)+1
shape = tuple(randint(10)+1 for dim in range(ndims))
els = reduce(mul, shape)
a = np.arange(els)
a.shape = shape
buf_size = randint(2*els)
b = Arrayterator(a, buf_size)
# Check that each block has at most ``buf_size`` elements
for block in b:
assert_(len(block.flat) <= (buf_size or els))
# Check that all elements are iterated correctly
assert_(list(b.flat) == list(a.flat))
# Slice arrayterator
start = [randint(dim) for dim in shape]
stop = [randint(dim)+1 for dim in shape]
step = [randint(dim)+1 for dim in shape]
slice_ = tuple(slice(*t) for t in zip(start, stop, step))
c = b[slice_]
d = a[slice_]
# Check that each block has at most ``buf_size`` elements
for block in c:
assert_(len(block.flat) <= (buf_size or els))
# Check that the arrayterator is sliced correctly
assert_(np.all(c.__array__() == d))
# Check that all elements are iterated correctly
assert_(list(c.flat) == list(d.flat))
if __name__ == '__main__':
from numpy.testing import run_module_suite
run_module_suite()
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