input: Write a function to determine the most efficient order of tasks from an array of given tasks. The function should return an ordered list of tasks representing the most efficient order for completing the tasks. If the input array is empty, return an empty array.
  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
  assert most_efficient_order([Task1, Task2, Task3])==[Task1, Task2, Task3]
  assert most_efficient_order([Task2, Task1, Task3])==[Task1, Task2, Task3]
  assert most_efficient_order([])==[]
output: def 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