Chris@87: from __future__ import division, absolute_import, print_function
Chris@87: 
Chris@87: from numpy.testing import *
Chris@87: import numpy as np
Chris@87: 
Chris@87: rlevel = 1
Chris@87: 
Chris@87: class TestRegression(TestCase):
Chris@87:     def test_kron_matrix(self,level=rlevel):
Chris@87:         """Ticket #71"""
Chris@87:         x = np.matrix('[1 0; 1 0]')
Chris@87:         assert_equal(type(np.kron(x, x)), type(x))
Chris@87: 
Chris@87:     def test_matrix_properties(self,level=rlevel):
Chris@87:         """Ticket #125"""
Chris@87:         a = np.matrix([1.0], dtype=float)
Chris@87:         assert_(type(a.real) is np.matrix)
Chris@87:         assert_(type(a.imag) is np.matrix)
Chris@87:         c, d = np.matrix([0.0]).nonzero()
Chris@87:         assert_(type(c) is np.matrix)
Chris@87:         assert_(type(d) is np.matrix)
Chris@87: 
Chris@87:     def test_matrix_multiply_by_1d_vector(self, level=rlevel) :
Chris@87:         """Ticket #473"""
Chris@87:         def mul() :
Chris@87:             np.mat(np.eye(2))*np.ones(2)
Chris@87: 
Chris@87:         self.assertRaises(ValueError, mul)
Chris@87: 
Chris@87:     def test_matrix_std_argmax(self,level=rlevel):
Chris@87:         """Ticket #83"""
Chris@87:         x = np.asmatrix(np.random.uniform(0, 1, (3, 3)))
Chris@87:         self.assertEqual(x.std().shape, ())
Chris@87:         self.assertEqual(x.argmax().shape, ())