diff options
Diffstat (limited to 'numpy/random')
-rw-r--r-- | numpy/random/tests/test_generator_mt19937_regressions.py | 4 | ||||
-rw-r--r-- | numpy/random/tests/test_randomstate_regression.py | 2 | ||||
-rw-r--r-- | numpy/random/tests/test_regression.py | 2 |
3 files changed, 4 insertions, 4 deletions
diff --git a/numpy/random/tests/test_generator_mt19937_regressions.py b/numpy/random/tests/test_generator_mt19937_regressions.py index 3a937f997..95a3815df 100644 --- a/numpy/random/tests/test_generator_mt19937_regressions.py +++ b/numpy/random/tests/test_generator_mt19937_regressions.py @@ -56,7 +56,7 @@ class TestRegression(object): [1, (2, 2), (3, 3), None], [(1, 1), 2, 3, None]]: mt19937 = Generator(MT19937(12345)) - shuffled = list(t) + shuffled = np.array(t, dtype=object) mt19937.shuffle(shuffled) assert_array_equal(shuffled, [t[2], t[0], t[3], t[1]]) @@ -118,7 +118,7 @@ class TestRegression(object): # a segfault on garbage collection. # See gh-7719 mt19937 = Generator(MT19937(1234)) - a = np.array([np.arange(1), np.arange(4)]) + a = np.array([np.arange(1), np.arange(4)], dtype=object) for _ in range(1000): mt19937.shuffle(a) diff --git a/numpy/random/tests/test_randomstate_regression.py b/numpy/random/tests/test_randomstate_regression.py index bdc2214b6..d33233760 100644 --- a/numpy/random/tests/test_randomstate_regression.py +++ b/numpy/random/tests/test_randomstate_regression.py @@ -128,7 +128,7 @@ class TestRegression(object): # a segfault on garbage collection. # See gh-7719 random.seed(1234) - a = np.array([np.arange(1), np.arange(4)]) + a = np.array([np.arange(1), np.arange(4)], dtype=object) for _ in range(1000): random.shuffle(a) diff --git a/numpy/random/tests/test_regression.py b/numpy/random/tests/test_regression.py index 509e2d57f..c0a03cd1c 100644 --- a/numpy/random/tests/test_regression.py +++ b/numpy/random/tests/test_regression.py @@ -126,7 +126,7 @@ class TestRegression(object): # a segfault on garbage collection. # See gh-7719 np.random.seed(1234) - a = np.array([np.arange(1), np.arange(4)]) + a = np.array([np.arange(1), np.arange(4)], dtype=object) for _ in range(1000): np.random.shuffle(a) |