如何在灵活的作业车间中编写代码，使操作的后续操作在同一台机器上完成？

class Task:
    def __init__(self, id, duration, dependencies=[]):
        self.id = id
        self.duration = duration
        self.dependencies = dependencies

def schedule_tasks(tasks):
    scheduled_tasks = []
    machine = {}  # Key: Machine ID, Value: List of tasks

    for task in tasks:
        if not task.dependencies:  # If no dependencies, can be scheduled immediately
            machine.setdefault(0, []).append(task)
            scheduled_tasks.append(task)

    while machine:
        for mid, task_list in list(machine.items()):
            if task_list:
                current_task = task_list.pop(0)
                for dependent_task in tasks:
                    if current_task in dependent_task.dependencies:
                        dependent_task.dependencies.remove(current_task)
                        if not dependent_task.dependencies:
                            machine.setdefault(mid, []).append(dependent_task)
                            scheduled_tasks.append(dependent_task)
        machine = {k: v for k, v in machine.items() if v}  # Remove empty machines

    return scheduled_tasks

# Example usage
tasks = [
    Task(1, 5),
    Task(2, 3, [1]),
    Task(3, 2, [1]),
    Task(4, 4, [2, 3])
]

scheduled = schedule_tasks(tasks)
for task in scheduled:
    print(f"Task {task.id} executed on Machine 0")