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| author | Charles Harris <charlesr.harris@gmail.com> | 2009-03-14 20:48:14 +0000 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2009-03-14 20:48:14 +0000 |
| commit | 576a6781de434625460e0f8273ec837277474ee0 (patch) | |
| tree | 4cd73d74bf1a24bcce69cc173b4e57d60055dc33 /numpy/random/tests | |
| parent | a1e2f9b5ab6d240655b040c3d3ae0188f1132cb1 (diff) | |
| download | numpy-576a6781de434625460e0f8273ec837277474ee0.tar.gz | |
Make logseries test deterministic.
Diffstat (limited to 'numpy/random/tests')
| -rw-r--r-- | numpy/random/tests/test_random.py | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/numpy/random/tests/test_random.py b/numpy/random/tests/test_random.py index b316d7b79..3c0e5d422 100644 --- a/numpy/random/tests/test_random.py +++ b/numpy/random/tests/test_random.py @@ -20,17 +20,18 @@ class TestRegression(TestCase): def test_logseries_convergence(self) : """Test for ticket #923""" - N = 100000 + N = 1000 + np.random.seed(0) rvsn = np.random.logseries(0.8, size=N) # these two frequency counts should be close to theoretical # numbers with this large sample # theoretical large N result is 0.49706795 freq = np.sum(rvsn == 1) / float(N) - msg = "Obsevered frequency was %f, should be > 0.45" % freq + msg = "Frequency was %f, should be > 0.45" % freq assert_(freq > 0.45, msg) # theoretical large N result is 0.19882718 freq = np.sum(rvsn == 2) / float(N) - msg = "Obsevered frequency was %f, should be < 0.23" % freq + msg = "Frequency was %f, should be < 0.23" % freq assert_(freq < 0.23, msg) |