input: 
  from typing import List
  
  class Task:
      def __init__(self, name: str, time: float):
          self.name = name
          self.time = time
      
      def get_time(self) -> float:
          return self.time
  
  def most_efficient_order(tasks: List[Task]) -> List[Task]:
      """
      This method takes a list of tasks and produces the most efficient order for completing the tasks.
  
      Parameters
      ----------
      tasks: List[Task]
          A list of tasks to be performed.
  
      Returns
      -------
      List[Task]
          An ordered list of tasks representing the most efficient order for completing the tasks.
      
      Example:
      >>> task1 = Task('Task1', 7.0)
      >>> task2 = Task('Task2', 3.0)
      >>> task3 = Task('Task3', 5.0)
      >>> most_efficient_order([task1, task2, task3]) == [task2, task3, task1]
      True
      """
      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
  
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
  