39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
|
from __future__ import division, absolute_import, print_function
|
||
|
|
|
||
|
|
import numpy as np
|
||
|
|
from numpy.testing import (
|
||
|
|
run_module_suite, assert_, assert_equal, assert_raises
|
||
|
|
)
|
||
|
|
|
||
|
|
|
||
|
|
class TestRegression(object):
|
||
|
|
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, ())
|
||
|
|
|
||
|
|
if __name__ == "__main__":
|
||
|
|
run_module_suite()
|