def test_compare_scipy(self, complete):
assert np.allclose(euclidean_pdist(complete),
pdist(complete, metric="euclidean"))
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()
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()
def test_wrong_shape(self, dimension):
with pytest.raises(ValueError):
euclidean_pdist(dimension)
def test_mask_shape(self, complete):
with pytest.raises(ValueError):
euclidean_pdist(
complete,
np.isnan(complete[:complete.shape[0] - 10, :complete.shape[1] -
10]))
def test_compare_scipy(self, complete):
assert np.allclose(euclidean_pdist(complete),
pdist(complete, metric="euclidean"))
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()
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()
def test_mask_shape(self, complete):
with pytest.raises(ValueError):
euclidean_pdist(complete, np.isnan(complete[:complete.shape[0] - 10,
:complete.shape[1] - 10]))
def test_wrong_shape(self, dimension):
with pytest.raises(ValueError):
euclidean_pdist(dimension)