Server IP : 66.29.132.122 / Your IP : 18.226.186.225 Web Server : LiteSpeed System : Linux business142.web-hosting.com 4.18.0-553.lve.el8.x86_64 #1 SMP Mon May 27 15:27:34 UTC 2024 x86_64 User : admazpex ( 531) PHP Version : 7.2.34 Disable Function : NONE MySQL : OFF | cURL : ON | WGET : ON | Perl : ON | Python : ON | Sudo : OFF | Pkexec : OFF Directory : /proc/self/root/proc/self/root/proc/thread-self/root/proc/thread-self/root/proc/self/root/proc/thread-self/root/proc/self/root/proc/self/root/proc/self/root/proc/self/root/opt/cloudlinux/venv/lib64/python3.11/site-packages/numpy/matrixlib/tests/ |
Upload File : |
import numpy as np from numpy.testing import assert_, assert_equal, assert_raises class TestRegression: 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, ())