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-rw-r--r--numpy/matrixlib/tests/test_regression.py21
1 files changed, 11 insertions, 10 deletions
diff --git a/numpy/matrixlib/tests/test_regression.py b/numpy/matrixlib/tests/test_regression.py
index 0839fbf28..32cb38ac7 100644
--- a/numpy/matrixlib/tests/test_regression.py
+++ b/numpy/matrixlib/tests/test_regression.py
@@ -1,17 +1,18 @@
from __future__ import division, absolute_import, print_function
import numpy as np
-from numpy.testing import TestCase, run_module_suite, assert_, assert_equal
+from numpy.testing import (
+ run_module_suite, assert_, assert_equal, assert_raises
+ )
-rlevel = 1
-class TestRegression(TestCase):
- def test_kron_matrix(self, level=rlevel):
+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,level=rlevel):
+ def test_matrix_properties(self):
# Ticket #125
a = np.matrix([1.0], dtype=float)
assert_(type(a.real) is np.matrix)
@@ -20,18 +21,18 @@ class TestRegression(TestCase):
assert_(type(c) is np.ndarray)
assert_(type(d) is np.ndarray)
- def test_matrix_multiply_by_1d_vector(self, level=rlevel):
+ def test_matrix_multiply_by_1d_vector(self):
# Ticket #473
def mul():
np.mat(np.eye(2))*np.ones(2)
- self.assertRaises(ValueError, mul)
+ assert_raises(ValueError, mul)
- def test_matrix_std_argmax(self,level=rlevel):
+ def test_matrix_std_argmax(self):
# Ticket #83
x = np.asmatrix(np.random.uniform(0, 1, (3, 3)))
- self.assertEqual(x.std().shape, ())
- self.assertEqual(x.argmax().shape, ())
+ assert_equal(x.std().shape, ())
+ assert_equal(x.argmax().shape, ())
if __name__ == "__main__":
run_module_suite()