summaryrefslogtreecommitdiff
path: root/numpy/lib
diff options
context:
space:
mode:
authorCharles Harris <charlesr.harris@gmail.com>2018-04-07 10:47:30 -0600
committerCharles Harris <charlesr.harris@gmail.com>2018-04-08 08:52:04 -0600
commit340777d08699edd5a9b0537cd935d75b91e4fbb3 (patch)
tree550ccc0e4da55c8c9471344075d3c1e40a343b81 /numpy/lib
parente559d98a1f92e1adb569a166ee96dd6140e2ae81 (diff)
downloadnumpy-340777d08699edd5a9b0537cd935d75b91e4fbb3.tar.gz
TST: Remove yield tests in lib/tests/test_twodim_base.py.
Diffstat (limited to 'numpy/lib')
-rw-r--r--numpy/lib/tests/test_twodim_base.py24
1 files changed, 12 insertions, 12 deletions
diff --git a/numpy/lib/tests/test_twodim_base.py b/numpy/lib/tests/test_twodim_base.py
index 6e0fe0654..00501135c 100644
--- a/numpy/lib/tests/test_twodim_base.py
+++ b/numpy/lib/tests/test_twodim_base.py
@@ -288,11 +288,11 @@ def test_tril_triu_ndim2():
a = np.ones((2, 2), dtype=dtype)
b = np.tril(a)
c = np.triu(a)
- yield assert_array_equal, b, [[1, 0], [1, 1]]
- yield assert_array_equal, c, b.T
+ assert_array_equal(b, [[1, 0], [1, 1]])
+ assert_array_equal(c, b.T)
# should return the same dtype as the original array
- yield assert_equal, b.dtype, a.dtype
- yield assert_equal, c.dtype, a.dtype
+ assert_equal(b.dtype, a.dtype)
+ assert_equal(c.dtype, a.dtype)
def test_tril_triu_ndim3():
@@ -314,10 +314,10 @@ def test_tril_triu_ndim3():
], dtype=dtype)
a_triu_observed = np.triu(a)
a_tril_observed = np.tril(a)
- yield assert_array_equal, a_triu_observed, a_triu_desired
- yield assert_array_equal, a_tril_observed, a_tril_desired
- yield assert_equal, a_triu_observed.dtype, a.dtype
- yield assert_equal, a_tril_observed.dtype, a.dtype
+ assert_array_equal(a_triu_observed, a_triu_desired)
+ assert_array_equal(a_tril_observed, a_tril_desired)
+ assert_equal(a_triu_observed.dtype, a.dtype)
+ assert_equal(a_tril_observed.dtype, a.dtype)
def test_tril_triu_with_inf():
# Issue 4859
@@ -484,12 +484,12 @@ class TestVander(object):
[16, -8, 4, -2, 1],
[81, 27, 9, 3, 1]])
# Check default value of N:
- yield (assert_array_equal, v, powers[:, 1:])
+ assert_array_equal(v, powers[:, 1:])
# Check a range of N values, including 0 and 5 (greater than default)
m = powers.shape[1]
for n in range(6):
v = vander(c, N=n)
- yield (assert_array_equal, v, powers[:, m-n:m])
+ assert_array_equal(v, powers[:, m-n:m])
def test_dtypes(self):
c = array([11, -12, 13], dtype=np.int8)
@@ -497,7 +497,7 @@ class TestVander(object):
expected = np.array([[121, 11, 1],
[144, -12, 1],
[169, 13, 1]])
- yield (assert_array_equal, v, expected)
+ assert_array_equal(v, expected)
c = array([1.0+1j, 1.0-1j])
v = vander(c, N=3)
@@ -506,4 +506,4 @@ class TestVander(object):
# The data is floating point, but the values are small integers,
# so assert_array_equal *should* be safe here (rather than, say,
# assert_array_almost_equal).
- yield (assert_array_equal, v, expected)
+ assert_array_equal(v, expected)