pip-install-ghxuqwgs/numpy_78e94bf2b6094bf9a1f3d92042f9bf46/numpy/matrixlib/tests/test_regression.py

from __future__ import division, absolute_import, print_function

from numpy.testing import *
import numpy as np

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.matrix)
        assert_(type(d) is np.matrix)

    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, ())