57 lines
2.1 KiB
Python
57 lines
2.1 KiB
Python
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from __future__ import division, print_function, absolute_import
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import numpy as np
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from numpy.testing import assert_equal, assert_
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from pytest import raises as assert_raises
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from scipy._lib._util import _aligned_zeros, check_random_state
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def test__aligned_zeros():
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niter = 10
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def check(shape, dtype, order, align):
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err_msg = repr((shape, dtype, order, align))
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x = _aligned_zeros(shape, dtype, order, align=align)
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if align is None:
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align = np.dtype(dtype).alignment
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assert_equal(x.__array_interface__['data'][0] % align, 0)
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if hasattr(shape, '__len__'):
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assert_equal(x.shape, shape, err_msg)
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else:
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assert_equal(x.shape, (shape,), err_msg)
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assert_equal(x.dtype, dtype)
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if order == "C":
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assert_(x.flags.c_contiguous, err_msg)
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elif order == "F":
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if x.size > 0:
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# Size-0 arrays get invalid flags on Numpy 1.5
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assert_(x.flags.f_contiguous, err_msg)
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elif order is None:
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assert_(x.flags.c_contiguous, err_msg)
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else:
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raise ValueError()
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# try various alignments
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for align in [1, 2, 3, 4, 8, 16, 32, 64, None]:
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for n in [0, 1, 3, 11]:
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for order in ["C", "F", None]:
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for dtype in [np.uint8, np.float64]:
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for shape in [n, (1, 2, 3, n)]:
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for j in range(niter):
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check(shape, dtype, order, align)
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def test_check_random_state():
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# If seed is None, return the RandomState singleton used by np.random.
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# If seed is an int, return a new RandomState instance seeded with seed.
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# If seed is already a RandomState instance, return it.
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# Otherwise raise ValueError.
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rsi = check_random_state(1)
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assert_equal(type(rsi), np.random.RandomState)
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rsi = check_random_state(rsi)
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assert_equal(type(rsi), np.random.RandomState)
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rsi = check_random_state(None)
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assert_equal(type(rsi), np.random.RandomState)
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assert_raises(ValueError, check_random_state, 'a')
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