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authorPierre Glaser <pierreglaser@msn.com>2018-10-05 13:26:59 +0200
committerPierre Glaser <pierreglaser@msn.com>2018-10-05 14:12:18 +0200
commit6655793d735ce6ced5075dcb898737c9756c7937 (patch)
tree7a46870b8cf0f7f7d0aabda72cd48e9e23f3d4e8 /numpy/matrixlib
parent592b22802df74ef7a58d2aaf6f44f45be7e2a9f8 (diff)
downloadnumpy-6655793d735ce6ced5075dcb898737c9756c7937.tar.gz
loop over protocol for pickle tests
Diffstat (limited to 'numpy/matrixlib')
-rw-r--r--numpy/matrixlib/tests/test_masked_matrix.py9
1 files changed, 5 insertions, 4 deletions
diff --git a/numpy/matrixlib/tests/test_masked_matrix.py b/numpy/matrixlib/tests/test_masked_matrix.py
index 5ed8044aa..219349f93 100644
--- a/numpy/matrixlib/tests/test_masked_matrix.py
+++ b/numpy/matrixlib/tests/test_masked_matrix.py
@@ -79,10 +79,11 @@ class TestMaskedMatrix(object):
def test_pickling_subbaseclass(self):
# Test pickling w/ a subclass of ndarray
a = masked_array(np.matrix(list(range(10))), mask=[1, 0, 1, 0, 0] * 2)
- a_pickled = pickle.loads(a.dumps())
- assert_equal(a_pickled._mask, a._mask)
- assert_equal(a_pickled, a)
- assert_(isinstance(a_pickled._data, np.matrix))
+ for proto in range(2, pickle.HIGHEST_PROTOCOL + 1):
+ a_pickled = pickle.loads(a.dumps(protocol=proto))
+ assert_equal(a_pickled._mask, a._mask)
+ assert_equal(a_pickled, a)
+ assert_(isinstance(a_pickled._data, np.matrix))
def test_count_mean_with_matrix(self):
m = masked_array(np.matrix([[1, 2], [3, 4]]), mask=np.zeros((2, 2)))