Example #1
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 def test_compare_scipy(self, complete):
     assert np.allclose(euclidean_pdist(complete),
                        pdist(complete, metric="euclidean"))
Example #2
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 def test_missing_masked_array(self, miss_all):
     m_arr = np.ma.masked_where(np.isnan(miss_all), miss_all)
     result = euclidean_pdist(m_arr)
     assert result.shape == (pytest.helpers.number_pairs(
         miss_all.shape[0]), )
     assert np.isnan(result).all()
Example #3
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 def test_missing_mask(self, miss_all):
     result = euclidean_pdist(miss_all, np.isnan(miss_all))
     assert result.shape == (pytest.helpers.number_pairs(
         miss_all.shape[0]), )
     assert np.isnan(result).all()
Example #4
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 def test_wrong_shape(self, dimension):
     with pytest.raises(ValueError):
         euclidean_pdist(dimension)
Example #5
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 def test_mask_shape(self, complete):
     with pytest.raises(ValueError):
         euclidean_pdist(
             complete,
             np.isnan(complete[:complete.shape[0] - 10, :complete.shape[1] -
                               10]))
Example #6
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 def test_compare_scipy(self, complete):
     assert np.allclose(euclidean_pdist(complete),
         pdist(complete, metric="euclidean"))
Example #7
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 def test_missing_mask(self, miss_all):
     result = euclidean_pdist(miss_all, np.isnan(miss_all))
     assert result.shape == (pytest.helpers.number_pairs(miss_all.shape[0]),)
     assert np.isnan(result).all()
Example #8
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 def test_missing_masked_array(self, miss_all):
     m_arr = np.ma.masked_where(np.isnan(miss_all), miss_all)
     result = euclidean_pdist(m_arr)
     assert result.shape == (pytest.helpers.number_pairs(miss_all.shape[0]),)
     assert np.isnan(result).all()
Example #9
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 def test_mask_shape(self, complete):
     with pytest.raises(ValueError):
         euclidean_pdist(complete, np.isnan(complete[:complete.shape[0] - 10,
             :complete.shape[1] - 10]))
Example #10
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 def test_wrong_shape(self, dimension):
     with pytest.raises(ValueError):
         euclidean_pdist(dimension)