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authorCharles Harris <charlesr.harris@gmail.com>2015-07-25 17:52:48 -0600
committerCharles Harris <charlesr.harris@gmail.com>2015-07-25 18:07:23 -0600
commit0d9dae2e89406e63679bc6a2bd65d50150a24a54 (patch)
tree1ac4671f5e300051e1027adbbbe01039b1c14ff8 /numpy/tests/test_matlib.py
parentfd79f6900717ff312497d71c64817226f494cb19 (diff)
downloadnumpy-0d9dae2e89406e63679bc6a2bd65d50150a24a54.tar.gz
STY: PEP8 and pyflakes fixes for numpy/tests.
Diffstat (limited to 'numpy/tests/test_matlib.py')
-rw-r--r--numpy/tests/test_matlib.py18
1 files changed, 9 insertions, 9 deletions
diff --git a/numpy/tests/test_matlib.py b/numpy/tests/test_matlib.py
index 0bc8548ba..3ff6cd7ed 100644
--- a/numpy/tests/test_matlib.py
+++ b/numpy/tests/test_matlib.py
@@ -5,36 +5,36 @@ import numpy.matlib
from numpy.testing import assert_array_equal, assert_, run_module_suite
def test_empty():
- x = np.matlib.empty((2,))
+ x = numpy.matlib.empty((2,))
assert_(isinstance(x, np.matrix))
assert_(x.shape, (1, 2))
def test_ones():
- assert_array_equal(np.matlib.ones((2, 3)),
+ assert_array_equal(numpy.matlib.ones((2, 3)),
np.matrix([[ 1., 1., 1.],
[ 1., 1., 1.]]))
- assert_array_equal(np.matlib.ones(2), np.matrix([[ 1., 1.]]))
+ assert_array_equal(numpy.matlib.ones(2), np.matrix([[ 1., 1.]]))
def test_zeros():
- assert_array_equal(np.matlib.zeros((2, 3)),
+ assert_array_equal(numpy.matlib.zeros((2, 3)),
np.matrix([[ 0., 0., 0.],
[ 0., 0., 0.]]))
- assert_array_equal(np.matlib.zeros(2), np.matrix([[ 0., 0.]]))
+ assert_array_equal(numpy.matlib.zeros(2), np.matrix([[ 0., 0.]]))
def test_identity():
- x = np.matlib.identity(2, dtype=np.int)
+ x = numpy.matlib.identity(2, dtype=np.int)
assert_array_equal(x, np.matrix([[1, 0], [0, 1]]))
def test_eye():
- x = np.matlib.eye(3, k=1, dtype=int)
+ x = numpy.matlib.eye(3, k=1, dtype=int)
assert_array_equal(x, np.matrix([[ 0, 1, 0],
[ 0, 0, 1],
[ 0, 0, 0]]))
def test_rand():
- x = np.matlib.rand(3)
+ x = numpy.matlib.rand(3)
# check matrix type, array would have shape (3,)
assert_(x.ndim == 2)
@@ -45,7 +45,7 @@ def test_randn():
def test_repmat():
a1 = np.arange(4)
- x = np.matlib.repmat(a1, 2, 2)
+ x = numpy.matlib.repmat(a1, 2, 2)
y = np.array([[0, 1, 2, 3, 0, 1, 2, 3],
[0, 1, 2, 3, 0, 1, 2, 3]])
assert_array_equal(x, y)