code: def __init__(self):
      backend = LightSimBackend()
      env = grid2op.make(
          "l2rpn_neurips_2020_track1_small", backend=backend
      )
  
      self.agent = Track1PowerNetAgent(env.action_space)
      self.env = env
  
file_path: PARL/examples/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge/track1/evaluate.py
imports: import grid2op
  import lightsim2grid
  from lightsim2grid.LightSimBackend import LightSimBackend
  import numpy
  from agent import Track1PowerNetAgent
  import argparse
label_desc: Use image node_id 1 to create a new Evaluator object from inherited base classes: object with example: obj = Evaluator()