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authorAngelGris <lucianogarciabes@gmail.com>2021-02-08 18:37:36 +0100
committerAngelGris <lucianogarciabes@gmail.com>2021-02-08 18:37:36 +0100
commit54eed9828ff0d5a78c5761c7d212bbc8e4cc1a09 (patch)
tree7a8fc4519508f0879ecc99ed5ab19eac740606a5 /numpy/lib/tests/test_arraysetops.py
parent32b564ade7ef22439b5f2b9c11aa4c63f0ecd6fd (diff)
downloadnumpy-54eed9828ff0d5a78c5761c7d212bbc8e4cc1a09.tar.gz
numpy/lib/arraysetops.py
Diffstat (limited to 'numpy/lib/tests/test_arraysetops.py')
-rw-r--r--numpy/lib/tests/test_arraysetops.py33
1 files changed, 33 insertions, 0 deletions
diff --git a/numpy/lib/tests/test_arraysetops.py b/numpy/lib/tests/test_arraysetops.py
index 847e6cb8a..de2ef255c 100644
--- a/numpy/lib/tests/test_arraysetops.py
+++ b/numpy/lib/tests/test_arraysetops.py
@@ -358,6 +358,39 @@ class TestSetOps:
result = np.in1d(ar1, ar2)
assert_array_equal(result, expected)
+ def test_in1d_with_arrays_containing_tuples(self):
+ ar1 = np.array([(1,), 2], dtype=object)
+ ar2 = np.array([(1,), 2], dtype=object)
+ expected = np.array([True, True])
+ result = np.in1d(ar1, ar2)
+ assert_array_equal(result, expected)
+ result = np.in1d(ar1, ar2, invert=True)
+ assert_array_equal(result, np.invert(expected))
+
+ # An integer is added at the end of the array to make sure
+ # that the array builder will create the array with tuples
+ # and after it's created the integer is removed.
+ # There's a bug in the array constructor that doesn't handle
+ # tuples properly and adding the integer fixes that.
+ ar1 = np.array([(1,), (2, 1), 1], dtype=object)
+ ar1 = ar1[:-1]
+ ar2 = np.array([(1,), (2, 1), 1], dtype=object)
+ ar2 = ar2[:-1]
+ expected = np.array([True, True])
+ result = np.in1d(ar1, ar2)
+ assert_array_equal(result, expected)
+ result = np.in1d(ar1, ar2, invert=True)
+ assert_array_equal(result, np.invert(expected))
+
+ ar1 = np.array([(1,), (2, 3), 1], dtype=object)
+ ar1 = ar1[:-1]
+ ar2 = np.array([(1,), 2], dtype=object)
+ expected = np.array([True, False])
+ result = np.in1d(ar1, ar2)
+ assert_array_equal(result, expected)
+ result = np.in1d(ar1, ar2, invert=True)
+ assert_array_equal(result, np.invert(expected))
+
def test_union1d(self):
a = np.array([5, 4, 7, 1, 2])
b = np.array([2, 4, 3, 3, 2, 1, 5])