input: from typing import List
  
  def most_efficient_order(tasks: List[object]) -> List[object]:
      """
      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.
  
      Example:
      class Task:
          def __init__(self, name, time):
              self.name = name
              self.time = time
          def get_time(self):
              return self.time
  
      Task1 = Task('Task1', 5)
      Task2 = Task('Task2', 3)
      Task3 = Task('Task3', 7)
      Task4 = Task('Task4', 2)
      Task5 = Task('Task5', 4)
  
      tasks = [Task1, Task2, Task3, Task4, Task5]
  
      most_efficient_order(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
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