def test_add_score():
// TODO: write a test that costs less resources and is more meaningful
adata = AnnData(np.random.randint(0, 1000, 100000).reshape((100, 1000)))
gene_names = np.array(["".join([chr(x)for x in np.random.randint(65, 90, 6)]) for n in range(2000)])
adata.var_names = gene_names[:1000]
sc.pp.normalize_per_cell(adata, counts_per_cell_after=1e4)
sc.pp.log1p(adata)