def test_deepcopy_subset(adata, spmat: type):
    adata.obsp["arr"] = np.zeros((adata.n_obs, adata.n_obs))
    adata.obsp["spmat"] = spmat((adata.n_obs, adata.n_obs))

    adata = deepcopy(adata[:10].copy())

    assert isinstance(adata.obsp["arr"], np.ndarray)
    assert not isinstance(adata.obsp["arr"], ArrayView)
    np.testing.assert_array_equal(adata.obsp["arr"].shape, (10, 10))

    assert isinstance(adata.obsp["spmat"], spmat)
    assert not isinstance(
        adata.obsp["spmat"],
        SparseCSRView if spmat is sparse.csr_matrix else SparseCSCView,
    )
    np.testing.assert_array_equal(adata.obsp["spmat"].shape, (10, 10))
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()