| Linux server27.hostingraja.org 2.6.32-954.3.5.lve1.4.93.el6.x86_64 #1 SMP Wed Oct 4 17:04:29 UTC 2023 x86_64 Path : /usr/lib64/python2.6/site-packages/numpy/matrixlib/tests/ |
| Current File : //usr/lib64/python2.6/site-packages/numpy/matrixlib/tests/test_regression.py |
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.failUnlessRaises(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, ())