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author | mattip <matti.picus@gmail.com> | 2019-05-06 08:55:27 -0400 |
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committer | mattip <matti.picus@gmail.com> | 2019-05-11 09:36:10 -0700 |
commit | 92d74d04ef5de9dfa7f5c91cdb742f5e9a318bc5 (patch) | |
tree | a2076c6472c52f2d153dde18270fd6d7b1bc64e4 /numpy/lib/tests/test_histograms.py | |
parent | 5d7680896dd1d4a562be8897f08cee528a5a6c42 (diff) | |
download | numpy-92d74d04ef5de9dfa7f5c91cdb742f5e9a318bc5.tar.gz |
TEST: tweak two slow tests to speed them up
Diffstat (limited to 'numpy/lib/tests/test_histograms.py')
-rw-r--r-- | numpy/lib/tests/test_histograms.py | 10 |
1 files changed, 3 insertions, 7 deletions
diff --git a/numpy/lib/tests/test_histograms.py b/numpy/lib/tests/test_histograms.py index c96b01d42..afaa526af 100644 --- a/numpy/lib/tests/test_histograms.py +++ b/numpy/lib/tests/test_histograms.py @@ -554,15 +554,11 @@ class TestHistogramOptimBinNums(object): return a / (a + b) ll = [[nbins_ratio(seed, size) for size in np.geomspace(start=10, stop=100, num=4).round().astype(int)] - for seed in range(256)] + for seed in range(10)] # the average difference between the two methods decreases as the dataset size increases. - assert_almost_equal(abs(np.mean(ll, axis=0) - 0.5), - [0.1065248, - 0.0968844, - 0.0331818, - 0.0178057], - decimal=3) + avg = abs(np.mean(ll, axis=0) - 0.5) + assert_almost_equal(avg, [0.15, 0.09, 0.08, 0.03], decimal=2) def test_simple_range(self): """ |