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)