input: from typing import List
  
  
  def most_efficient_order(tasks: List) -> List:
      """
      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:
      for most_efficient_order([Task1, Task2, Task3, Task4, Task5]) == [Task1, Task3, Task4, Task2, Task5]
      """
output:     from collections import deque
  
      # Create a queue to hold the tasks
      task_queue = deque(tasks)
  
      # Initialize an empty list to store the most efficient order
      efficient_order = []
  
      # Process 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():
              efficient_order.append(current_task)
          else:
              # If not, re-enqueue the task to the end of the queue
              task_queue.append(current_task)
  
      return efficient_order