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📄 test__datasource.py(10.16 KB)
📄 test__iotools.py(13.15 KB)
📄 test__version.py(2.08 KB)
📄 test_arraypad.py(42.68 KB)
📄 test_arraysetops.py(15.49 KB)
📄 test_arrayterator.py(1.42 KB)
📄 test_financial.py(6.62 KB)
📄 test_format.py(33.49 KB)
📄 test_function_base.py(126.81 KB)
📄 test_index_tricks.py(13.1 KB)
📄 test_io.py(75.59 KB)
📄 test_mixins.py(6.7 KB)
📄 test_nanfunctions.py(34.07 KB)
📄 test_packbits.py(12.63 KB)
📄 test_polynomial.py(7.03 KB)
📄 test_recfunctions.py(30.54 KB)
📄 test_regression.py(8.62 KB)
📄 test_shape_base.py(19.02 KB)
📄 test_stride_tricks.py(14.69 KB)
📄 test_twodim_base.py(16.72 KB)
📄 test_type_check.py(12.62 KB)
📄 test_ufunclike.py(2.96 KB)
📄 test_utils.py(1.62 KB)

Editing: test_arrayterator.py

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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