def test_normalize_total(self, adata, adata_dist): normalize_total(adata_dist) result = materialize_as_ndarray(adata_dist.X) normalize_total(adata) assert result.shape == adata.shape assert result.shape == (adata.n_obs, adata.n_vars) npt.assert_allclose(result, adata.X)
def test_filter_genes(self, adata, adata_dist): filter_genes(adata_dist, min_cells=2) result = materialize_as_ndarray(adata_dist.X) filter_genes(adata, min_cells=2) assert result.shape == adata.shape assert result.shape == (adata.n_obs, adata.n_vars) npt.assert_allclose(result, adata.X)
def test_log1p(self, adata, adata_dist): log1p(adata_dist) result = materialize_as_ndarray(adata_dist.X) log1p(adata) assert result.shape == adata.shape assert result.shape == (adata.n_obs, adata.n_vars) npt.assert_allclose(result, adata.X)