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from __future__ import division, absolute_import, print_function
import numpy as np
from numpy.testing import TestCase, run_module_suite, assert_, assert_equal
rlevel = 1
class TestRegression(TestCase):
def test_kron_matrix(self, level=rlevel):
# Ticket #71
x = np.matrix('[1 0; 1 0]')
assert_equal(type(np.kron(x, x)), type(x))
def test_matrix_properties(self,level=rlevel):
# 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, level=rlevel):
# Ticket #473
def mul():
np.mat(np.eye(2))*np.ones(2)
self.assertRaises(ValueError, mul)
def test_matrix_std_argmax(self,level=rlevel):
# Ticket #83
x = np.asmatrix(np.random.uniform(0, 1, (3, 3)))
self.assertEqual(x.std().shape, ())
self.assertEqual(x.argmax().shape, ())
if __name__ == "__main__":
run_module_suite()