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 get_active_users():
	data = frappe.db.sql("""select name,
		(select count(*) from tabSessions where user=tabUser.name
			and timediff(now(), lastupdate) < time("01:00:00")) as has_session
	 	from tabUser
		where enabled=1 and
		ifnull(user_type, '')!='Website User' and
		name not in ({})
		order by first_name""".format(", ".join(["%s"]*len(STANDARD_USERS))), STANDARD_USERS, as_dict=1)

	# make sure current user is at the top, using has_session = 100
	users = [d.name for d in data]

	if frappe.session.user in users:
		data[users.index(frappe.session.user)]["has_session"] = 100

	else:
		# in case of administrator
		data.append({"name": frappe.session.user, "has_session": 100})

	return data