def test_negative_scalar_index(adata, index: int, obs: bool):
    pos_index = index + (adata.n_obs if obs else adata.n_vars)

    if obs:
        adata_pos_subset = adata[pos_index]
        adata_neg_subset = adata[index]
    else:
        adata_pos_subset = adata[:, pos_index]
        adata_neg_subset = adata[:, index]

    np.testing.assert_array_equal(
        adata_pos_subset.obs_names, adata_neg_subset.obs_names
    )
    np.testing.assert_array_equal(
        adata_pos_subset.var_names, adata_neg_subset.var_names
    )
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