def test_set_subset_obsm(adata, subset_func):
    init_hash = joblib.hash(adata)
    orig_obsm_val = adata.obsm["o"].copy()

    while True:
        subset_idx = slice_subset(adata.obs_names)
        if len(adata[subset_idx, :]) > 2:
            break
    subset = adata[subset_idx, :]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.obsm["o"].shape[0])), subset.obs_names
    )

    assert subset.is_view
    subset.obsm["o"][internal_idx] = 1
    assert not subset.is_view
    assert np.all(adata.obsm["o"] == orig_obsm_val)

    assert init_hash == joblib.hash(adata)
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()