OXIESEC PANEL

Name	Size	Modified	Perms
📁 ..	-	10/28/2024 08:45:52 AM	rwxr-xr-x
📁 __pycache__	-	10/28/2024 08:45:53 AM	rwxr-xr-x
📄 test_defmatrix.py	14.62 KB	09/29/2017 05:31:46 PM	rw-r--r--
📄 test_multiarray.py	717 bytes	09/29/2017 05:31:46 PM	rw-r--r--
📄 test_numeric.py	597 bytes	09/29/2017 05:31:46 PM	rw-r--r--
📄 test_regression.py	1.12 KB	09/29/2017 05:31:46 PM	rw-r--r--

Editing: test_regression.py

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()