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test__datasource.py
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test__datasource.pyc
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test__datasource.pyo
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test__iotools.py
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test__iotools.pyc
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test__iotools.pyo
14.4
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test_arraypad.py
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test_arraypad.pyc
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test_arraypad.pyo
29.81
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test_arraysetops.py
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test_arraysetops.pyc
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test_arraysetops.pyo
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test_arrayterator.py
1.4
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test_arrayterator.pyc
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test_arrayterator.pyo
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test_financial.py
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test_financial.pyc
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test_financial.pyo
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test_format.py
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test_format.pyc
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test_format.pyo
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test_function_base.py
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test_function_base.pyc
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test_function_base.pyo
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test_index_tricks.py
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test_index_tricks.pyc
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test_index_tricks.pyo
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test_io.py
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test_io.pyc
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test_io.pyo
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test_polynomial.py
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test_polynomial.pyc
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test_polynomial.pyo
6.1
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test_recfunctions.py
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test_recfunctions.pyc
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test_recfunctions.pyo
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test_regression.py
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test_regression.pyc
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test_regression.pyo
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test_shape_base.py
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test_shape_base.pyc
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test_shape_base.pyo
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test_stride_tricks.py
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test_stride_tricks.pyc
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test_stride_tricks.pyo
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test_twodim_base.py
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test_twodim_base.pyc
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test_twodim_base.pyo
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test_type_check.py
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test_type_check.pyc
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test_type_check.pyo
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test_ufunclike.py
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test_ufunclike.pyc
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test_ufunclike.pyo
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test_utils.py
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test_utils.pyc
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test_utils.pyo
2.13
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from operator import mul import numpy as np from numpy.random import randint from numpy.lib import Arrayterator from numpy.testing import assert_ import sys if sys.version_info[0] >= 3: from functools import reduce 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()