code: def take_action(observation, configuration):
      board = Board(observation, configuration)
      action = players[0].take_action(board, "predict")
      return action
  
file_path: PARL/examples/Baselines/Halite_competition/torch/train.py
imports: import os
  import torch
  import random
  import numpy
  from config import config
  from rl_trainer.controller import Controller
  from parl.utils import logger, summary
  from parl.utils.window_stat import WindowStat
  from zerosum_env import make, evaluate
  from zerosum_env.envs.halite.helpers import *
label_desc: Use image node_id 1 for calling a global function with example usage: take_action(observation, configuration) and returns: action