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authorCharles Harris <charlesr.harris@gmail.com>2017-07-17 17:51:33 -0600
committerCharles Harris <charlesr.harris@gmail.com>2017-07-24 13:00:29 -0600
commit8eee1b06b330f6ff23fd3604444ba20a8d2d6416 (patch)
tree35c75994b20eb8bc6650f6ff16890ab0ec747931 /numpy/lib/tests/test_arraysetops.py
parente0f1740a5832273123fd4b29a811cf830f29a0b0 (diff)
downloadnumpy-8eee1b06b330f6ff23fd3604444ba20a8d2d6416.tar.gz
TST: Remove unittest dependencies in numpy/lib/tests.
Diffstat (limited to 'numpy/lib/tests/test_arraysetops.py')
-rw-r--r--numpy/lib/tests/test_arraysetops.py16
1 files changed, 8 insertions, 8 deletions
diff --git a/numpy/lib/tests/test_arraysetops.py b/numpy/lib/tests/test_arraysetops.py
index d47534f82..b8ced41e8 100644
--- a/numpy/lib/tests/test_arraysetops.py
+++ b/numpy/lib/tests/test_arraysetops.py
@@ -5,14 +5,14 @@ from __future__ import division, absolute_import, print_function
import numpy as np
from numpy.testing import (
- run_module_suite, TestCase, assert_array_equal, assert_equal, assert_raises
+ run_module_suite, assert_array_equal, assert_equal, assert_raises,
)
from numpy.lib.arraysetops import (
ediff1d, intersect1d, setxor1d, union1d, setdiff1d, unique, in1d, isin
)
-class TestSetOps(TestCase):
+class TestSetOps(object):
def test_intersect1d(self):
# unique inputs
@@ -89,28 +89,28 @@ class TestSetOps(TestCase):
x = isin(a, b)
y = isin_slow(a, b)
assert_array_equal(x, y)
-
+
#multidimensional arrays in both arguments
a = np.arange(24).reshape([2, 3, 4])
b = np.array([[10, 20, 30], [0, 1, 3], [11, 22, 33]])
assert_isin_equal(a, b)
-
+
#array-likes as both arguments
c = [(9, 8), (7, 6)]
d = (9, 7)
assert_isin_equal(c, d)
-
+
#zero-d array:
f = np.array(3)
assert_isin_equal(f, b)
assert_isin_equal(a, f)
assert_isin_equal(f, f)
-
+
#scalar:
assert_isin_equal(5, b)
assert_isin_equal(a, 6)
assert_isin_equal(5, 6)
-
+
#empty array-like:
x = []
assert_isin_equal(x, b)
@@ -252,7 +252,7 @@ class TestSetOps(TestCase):
assert_array_equal(c1, c2)
-class TestUnique(TestCase):
+class TestUnique(object):
def test_unique_1d(self):