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Mini Shell
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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