def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
def each(f):
        if f.body:
            f.hashes = []
            for hash_type, h in HashFile.extract_hashes(f.body.contents):
                hash_object = Hash.get_or_create(value=h.hexdigest())
                hash_object.add_source("analytics")
                hash_object.save()
                f.active_link_to(
                    hash_object,
                    "{} hash".format(hash_type.upper()),
                    "HashFile",
                    clean_old=False,
                )
                f.hashes.append({"hash": hash_type, "value": h.hexdigest()})
            f.save()