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📄 test__datasource.py(10.2 KB)
📄 test__datasource.pyc(16.97 KB)
📄 test__datasource.pyo(16.97 KB)
📄 test__iotools.py(13.69 KB)
📄 test__iotools.pyc(15.05 KB)
📄 test__iotools.pyo(15.05 KB)
📄 test__version.py(2.08 KB)
📄 test__version.pyc(3.5 KB)
📄 test__version.pyo(3.5 KB)
📄 test_arraypad.py(41.65 KB)
📄 test_arraypad.pyc(58.01 KB)
📄 test_arraypad.pyo(58.01 KB)
📄 test_arraysetops.py(9.85 KB)
📄 test_arraysetops.pyc(10.03 KB)
📄 test_arraysetops.pyo(10.03 KB)
📄 test_arrayterator.py(1.42 KB)
📄 test_arrayterator.pyc(2.07 KB)
📄 test_arrayterator.pyo(2.07 KB)
📄 test_financial.py(6.45 KB)
📄 test_financial.pyc(7.34 KB)
📄 test_financial.pyo(7.34 KB)
📄 test_format.py(33.43 KB)
📄 test_format.pyc(16.93 KB)
📄 test_format.pyo(16.93 KB)
📄 test_function_base.py(106.45 KB)
📄 test_function_base.pyc(133.6 KB)
📄 test_function_base.pyo(133.6 KB)
📄 test_index_tricks.py(11.19 KB)
📄 test_index_tricks.pyc(15.3 KB)
📄 test_index_tricks.pyo(15.3 KB)
📄 test_io.py(70.42 KB)
📄 test_io.pyc(83.74 KB)
📄 test_io.pyo(83.74 KB)
📄 test_nanfunctions.py(27.57 KB)
📄 test_nanfunctions.pyc(32.92 KB)
📄 test_nanfunctions.pyo(32.92 KB)
📄 test_packbits.py(951 B)
📄 test_packbits.pyc(1.49 KB)
📄 test_packbits.pyo(1.49 KB)
📄 test_polynomial.py(4.97 KB)
📄 test_polynomial.pyc(5.45 KB)
📄 test_polynomial.pyo(5.45 KB)
📄 test_recfunctions.py(29.91 KB)
📄 test_recfunctions.pyc(36.29 KB)
📄 test_recfunctions.pyo(36.29 KB)
📄 test_regression.py(8.62 KB)
📄 test_regression.pyc(13.85 KB)
📄 test_regression.pyo(13.85 KB)
📄 test_shape_base.py(12.42 KB)
📄 test_shape_base.pyc(18.8 KB)
📄 test_shape_base.pyo(18.8 KB)
📄 test_stride_tricks.py(13.87 KB)
📄 test_stride_tricks.pyc(16.21 KB)
📄 test_stride_tricks.pyo(16.21 KB)
📄 test_twodim_base.py(17.57 KB)
📄 test_twodim_base.pyc(21.95 KB)
📄 test_twodim_base.pyo(21.95 KB)
📄 test_type_check.py(10.01 KB)
📄 test_type_check.pyc(20.16 KB)
📄 test_type_check.pyo(20.16 KB)
📄 test_ufunclike.py(1.98 KB)
📄 test_ufunclike.pyc(3.55 KB)
📄 test_ufunclike.pyo(3.55 KB)
📄 test_utils.py(1.43 KB)
📄 test_utils.pyc(3.2 KB)
📄 test_utils.pyo(3.2 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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