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