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- from __future__ import division, absolute_import, print_function
- import numpy as np
- from numpy.testing import assert_, assert_equal, assert_raises
- class TestRegression(object):
- def test_kron_matrix(self):
- # Ticket #71
- x = np.matrix('[1 0; 1 0]')
- assert_equal(type(np.kron(x, x)), type(x))
- def test_matrix_properties(self):
- # Ticket #125
- a = np.matrix([1.0], dtype=float)
- assert_(type(a.real) is np.matrix)
- assert_(type(a.imag) is np.matrix)
- c, d = np.matrix([0.0]).nonzero()
- assert_(type(c) is np.ndarray)
- assert_(type(d) is np.ndarray)
- def test_matrix_multiply_by_1d_vector(self):
- # Ticket #473
- def mul():
- np.mat(np.eye(2))*np.ones(2)
- assert_raises(ValueError, mul)
- def test_matrix_std_argmax(self):
- # Ticket #83
- x = np.asmatrix(np.random.uniform(0, 1, (3, 3)))
- assert_equal(x.std().shape, ())
- assert_equal(x.argmax().shape, ())
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