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import numpy as np |
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import numpy.matlib |
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from numpy.testing import assert_array_equal, assert_ |
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def test_empty(): |
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x = numpy.matlib.empty((2,)) |
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assert_(isinstance(x, np.matrix)) |
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assert_(x.shape, (1, 2)) |
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def test_ones(): |
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assert_array_equal(numpy.matlib.ones((2, 3)), |
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np.matrix([[ 1., 1., 1.], |
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[ 1., 1., 1.]])) |
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assert_array_equal(numpy.matlib.ones(2), np.matrix([[ 1., 1.]])) |
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def test_zeros(): |
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assert_array_equal(numpy.matlib.zeros((2, 3)), |
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np.matrix([[ 0., 0., 0.], |
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[ 0., 0., 0.]])) |
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assert_array_equal(numpy.matlib.zeros(2), np.matrix([[ 0., 0.]])) |
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def test_identity(): |
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x = numpy.matlib.identity(2, dtype=int) |
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assert_array_equal(x, np.matrix([[1, 0], [0, 1]])) |
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def test_eye(): |
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xc = numpy.matlib.eye(3, k=1, dtype=int) |
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assert_array_equal(xc, np.matrix([[ 0, 1, 0], |
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[ 0, 0, 1], |
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[ 0, 0, 0]])) |
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assert xc.flags.c_contiguous |
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assert not xc.flags.f_contiguous |
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xf = numpy.matlib.eye(3, 4, dtype=int, order='F') |
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assert_array_equal(xf, np.matrix([[ 1, 0, 0, 0], |
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[ 0, 1, 0, 0], |
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[ 0, 0, 1, 0]])) |
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assert not xf.flags.c_contiguous |
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assert xf.flags.f_contiguous |
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def test_rand(): |
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x = numpy.matlib.rand(3) |
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assert_(x.ndim == 2) |
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def test_randn(): |
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x = np.matlib.randn(3) |
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assert_(x.ndim == 2) |
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def test_repmat(): |
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a1 = np.arange(4) |
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x = numpy.matlib.repmat(a1, 2, 2) |
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y = np.array([[0, 1, 2, 3, 0, 1, 2, 3], |
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[0, 1, 2, 3, 0, 1, 2, 3]]) |
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assert_array_equal(x, y) |
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