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 = [Task1, Task2, Task3, Task4, Task5]
      >>> most_efficient_order(tasks)
      Ordered list of tasks 
      """
  
output:     from collections import deque
  
      # Create a queue to hold the tasks
      task_queue = deque(tasks)
  
      # Initialize an empty list to hold the ordered tasks
      ordered_tasks = []
  
      # While there are tasks in the queue
      while task_queue:
          # Get the next task from the queue
          current_task = task_queue.popleft()
  
          # Check if the current task can be performed efficiently
          if current_task.can_be_performed_efficiently():
              # If it can, add it to the ordered tasks list
              ordered_tasks.append(current_task)
          else:
              # If it cannot, re-add it to the end of the queue
              task_queue.append(current_task)
  
      return ordered_tasks