| | 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) |
| | |
| | assert_(x.ndim == 2) |
| |
|
| | def test_randn(): |
| | x = np.matlib.randn(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) |
| |
|
