def test_view_mixin_copies_data(adata, array_type: type, attr):
    N = 100
    adata = ad.AnnData(
        obs=pd.DataFrame(index=np.arange(N)), var=pd.DataFrame(index=np.arange(N))
    )

    X = array_type(sparse.eye(N, N).multiply(np.arange(1, N + 1)))
    if attr == "X":
        adata.X = X
    else:
        getattr(adata, attr)["arr"] = X

    view = adata[:50]

    if attr == "X":
        arr_view = view.X
    else:
        arr_view = getattr(view, attr)["arr"]

    arr_view_copy = arr_view.copy()

    if sparse.issparse(X):
        assert not np.shares_memory(arr_view.indices, arr_view_copy.indices)
        assert not np.shares_memory(arr_view.indptr, arr_view_copy.indptr)
        assert not np.shares_memory(arr_view.data, arr_view_copy.data)

        arr_view_copy.data[0] = -5
        assert not np.array_equal(arr_view_copy.data, arr_view.data)
    else:
        assert not np.shares_memory(arr_view, arr_view_copy)

        arr_view_copy[0, 0] = -5
        assert not np.array_equal(arr_view_copy, arr_view)
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