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| author | Ralf Gommers <ralf.gommers@googlemail.com> | 2011-03-15 10:33:51 +0800 |
|---|---|---|
| committer | Ralf Gommers <ralf.gommers@googlemail.com> | 2011-03-15 10:35:39 +0800 |
| commit | cb063b26ff6aa7ae6127d763d97e737b5bc819ed (patch) | |
| tree | 3d914efff23593d4de7201c990434f6d8d8be74e | |
| parent | f089476bf5740df56af4ed31a3a5f6c8368563f8 (diff) | |
| download | numpy-cb063b26ff6aa7ae6127d763d97e737b5bc819ed.tar.gz | |
TST: Some tests in random module were failing on RHEL4 due to too high precision.
It is not yet confirmed this is the right precision, since I don't have an
RHEL4 test machine. Changing this anyway for 1.6.0 beta 1.
See ticket 1768.
| -rw-r--r-- | numpy/random/tests/test_random.py | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/numpy/random/tests/test_random.py b/numpy/random/tests/test_random.py index 81e3eee1e..71097db99 100644 --- a/numpy/random/tests/test_random.py +++ b/numpy/random/tests/test_random.py @@ -152,7 +152,7 @@ class TestRandomDist(TestCase): desired = np.array([[ 63.87858175501090585, 68.68407748911370447], [ 65.77116116901505904, 47.09686762438974483], [ 72.3828403199695174 , 74.18408615260374006]]) - np.testing.assert_array_almost_equal(actual, desired, decimal=15) + np.testing.assert_array_almost_equal(actual, desired, decimal=14) def test_dirichlet(self): np.random.seed(self.seed) @@ -188,7 +188,7 @@ class TestRandomDist(TestCase): desired = np.array([[ 24.60509188649287182, 28.54993563207210627], [ 26.13476110204064184, 12.56988482927716078], [ 31.71863275789960568, 33.30143302795922011]]) - np.testing.assert_array_almost_equal(actual, desired, decimal=15) + np.testing.assert_array_almost_equal(actual, desired, decimal=14) def test_geometric(self): np.random.seed(self.seed) @@ -236,7 +236,7 @@ class TestRandomDist(TestCase): desired = np.array([[ 16.50698631688883822, 36.54846706092654784], [ 22.67886599981281748, 0.71617561058995771], [ 65.72798501792723869, 86.84341601437161273]]) - np.testing.assert_array_almost_equal(actual, desired, decimal=15) + np.testing.assert_array_almost_equal(actual, desired, decimal=14) def test_logseries(self): np.random.seed(self.seed) @@ -285,7 +285,7 @@ class TestRandomDist(TestCase): desired = np.array([[ 23.91905354498517511, 13.35324692733826346], [ 31.22452661329736401, 16.60047399466177254], [ 5.03461598262724586, 17.94973089023519464]]) - np.testing.assert_array_almost_equal(actual, desired, decimal=15) + np.testing.assert_array_almost_equal(actual, desired, decimal=14) def test_noncentral_f(self): np.random.seed(self.seed) @@ -294,7 +294,7 @@ class TestRandomDist(TestCase): desired = np.array([[ 1.40598099674926669, 0.34207973179285761], [ 3.57715069265772545, 7.92632662577829805], [ 0.43741599463544162, 1.1774208752428319 ]]) - np.testing.assert_array_almost_equal(actual, desired, decimal=15) + np.testing.assert_array_almost_equal(actual, desired, decimal=14) def test_normal(self): np.random.seed(self.seed) @@ -342,7 +342,7 @@ class TestRandomDist(TestCase): desired = np.array([[ 13.8882496494248393 , 13.383318339044731 ], [ 20.95413364294492098, 21.08285015800712614], [ 11.06066537006854311, 17.35468505778271009]]) - np.testing.assert_array_almost_equal(actual, desired, decimal=15) + np.testing.assert_array_almost_equal(actual, desired, decimal=14) def test_standard_cauchy(self): np.random.seed(self.seed) @@ -366,7 +366,7 @@ class TestRandomDist(TestCase): desired = np.array([[ 5.50841531318455058, 6.62953470301903103], [ 5.93988484943779227, 2.31044849402133989], [ 7.54838614231317084, 8.012756093271868 ]]) - np.testing.assert_array_almost_equal(actual, desired, decimal=15) + np.testing.assert_array_almost_equal(actual, desired, decimal=14) def test_standard_normal(self): np.random.seed(self.seed) @@ -391,7 +391,7 @@ class TestRandomDist(TestCase): desired = np.array([[ 12.68117178949215784, 12.4129206149193152 ], [ 16.20131377335158263, 16.25692138747600524], [ 11.20400690911820263, 14.4978144835829923 ]]) - np.testing.assert_array_almost_equal(actual, desired, decimal=15) + np.testing.assert_array_almost_equal(actual, desired, decimal=14) def test_uniform(self): np.random.seed(self.seed) @@ -416,7 +416,7 @@ class TestRandomDist(TestCase): desired = np.array([[ 3.82935265715889983, 5.13125249184285526], [ 0.35045403618358717, 1.50832396872003538], [ 0.24124319895843183, 0.22031101461955038]]) - np.testing.assert_array_almost_equal(actual, desired, decimal=15) + np.testing.assert_array_almost_equal(actual, desired, decimal=14) def test_weibull(self): np.random.seed(self.seed) |