input: def most_efficient_order(tasks):
      """
      This method takes a list of tasks and produces the most efficient order for completing the tasks.
  
      Parameters
      ----------
      tasks: List
          A list of tasks to be performed.
  
      Returns
      -------
      List
          An ordered list of tasks representing the most efficient order for completing the tasks.
      """
      tasks_to_complete = tasks.copy()
      order = [] 
      while tasks_to_complete:
          min_time = float("inf")
          task_index = None
          for i, task in enumerate(tasks_to_complete):
              if task.get_time() < min_time:
                  min_time = task.get_time()
                  task_index = i
          order.append(tasks_to_complete.pop(task_index))
      return order
  
      >>> class Task:
      ...     def __init__(self, time):
      ...         self.time = time
      ...     def get_time(self):
      ...         return self.time
      >>> tasks = [Task(5), Task(3), Task(8), Task(2), Task(4)]
      >>> most_efficient_order(tasks)
      [<__main__.Task object at 0x...>, <__main__.Task object at 0x...>, <__main__.Task object at 0x...>, <__main__.Task object at 0x...>, <__main__.Task object at 0x...>]
      >>> [task.get_time() for task in most_efficient_order(tasks)]
      [2, 3, 4, 5, 8]
output:     
      tasks_to_complete = tasks.copy()
      order = [] 
      while tasks_to_complete:
          min_time = float("inf")
          task_index = None
          for i, task in enumerate(tasks_to_complete):
              if task.get_time() < min_time:
                  min_time = task.get_time()
                  task_index = i
          order.append(tasks_to_complete.pop(task_index))
      return order
  