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47 lines
1.3 KiB
47 lines
1.3 KiB
6 months ago
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from operator import mul
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from functools import reduce
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import numpy as np
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from numpy.random import randint
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from numpy.lib import Arrayterator
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from numpy.testing import assert_
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def test():
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np.random.seed(np.arange(10))
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# Create a random array
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ndims = randint(5)+1
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shape = tuple(randint(10)+1 for dim in range(ndims))
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els = reduce(mul, shape)
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a = np.arange(els)
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a.shape = shape
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buf_size = randint(2*els)
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b = Arrayterator(a, buf_size)
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# Check that each block has at most ``buf_size`` elements
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for block in b:
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assert_(len(block.flat) <= (buf_size or els))
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# Check that all elements are iterated correctly
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assert_(list(b.flat) == list(a.flat))
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# Slice arrayterator
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start = [randint(dim) for dim in shape]
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stop = [randint(dim)+1 for dim in shape]
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step = [randint(dim)+1 for dim in shape]
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slice_ = tuple(slice(*t) for t in zip(start, stop, step))
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c = b[slice_]
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d = a[slice_]
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# Check that each block has at most ``buf_size`` elements
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for block in c:
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assert_(len(block.flat) <= (buf_size or els))
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# Check that the arrayterator is sliced correctly
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assert_(np.all(c.__array__() == d))
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# Check that all elements are iterated correctly
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assert_(list(c.flat) == list(d.flat))
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