PYLINT

        except ValueError:

            print(f'No such task: {id}, {newstate}', file=sys.stderr)

            path.unlink()

            return None

            return

        if user != self.config.user:

            return

    db = sqlite3.connect(path)

    table = Table(title=str(path))

    columns = [line.strip().split()[0]

               for line in INIT.split(';')[0].splitlines()[1:]]

               for line in INIT.split(';', maxsplit=1)[0].splitlines()[1:]]

    for name in columns:

        table.add_column(name)

    for row in db.execute('SELECT * from tasks'):

TaskName = Path

wf = """

        if 0:  # task.workflow:

            if task.dname in current:

                task.state = current[task.dname].state

            else:

                if task.state == State.undefined:

                    if task.check_creates_files():

                        task.state = State.done

        count[task.state] += 1

        if task.state == State.undefined:

            submit.append(task)

        elif task.state.is_bad() and force:

            task.state = State.undefined

            submit.append(task)

            1 / 0

        else:

            1 / 0

    count.pop(State.undefined, None)

    if count:

        print(', '.join(f'{state}: {n}' for state, n in count.items()))

    if any(state.is_bad() for state in count) and not force:

        print('Use --force to ignore failed tasks.')

"""

def submit(queue: Queue,

           tasks: Sequence[Task],

           *,

        Ignore and remove name.FAILED files.

    """

    """

    for task in submitted:

        if task.workflow:

            oldtask = current.get(task.dname)

            if oldtask:

                queue.tasks.remove(oldtask)

                queue.changed.add(oldtask)

    """

    sort_out_dependencies(tasks, queue)

    tasks = [task for task in order({task: task.dtasks for task in tasks})

        dg = nx.DiGraph({node: nodes[node]

                         for node in component

                         if node in nodes})

        order = nx.topological_sort(dg)

        result += reversed(list(order))

        result += reversed(list(nx.topological_sort(dg)))

    return result