code: def __init__(self, *args, **kwargs):
      self.classifier = kwargs.pop("classifier")
      self.agent = kwargs.pop("agent")
      self.n_toks = kwargs.pop("pacer_n_tokens")
      self.frequency = kwargs.pop("pacer_frequency_ratio")
      super().__init__(*args, **kwargs)
  
imports: import random
  import torch
  import torch.nn.functional
  from typing import Optional, Any, Dict, List
  from parlai.agents.rag.retrievers import clean_vec
  from parlai.agents.transformer.transformer import TransformerGeneratorAgent
  from parlai.core.opt import Opt
  from parlai.core.params import ParlaiParser
  from parlai.core.torch_generator_agent import TreeSearch, GreedySearch, BeamSearch, DelayedBeamSearch, TopKSampling, NucleusSampling, TSType
  import parlai.utils.logging
  from parlai.utils.torch import neginf
  from projects.light_whoami.agents.rpa_rerank import RPAReranker, RPARerankAgent, LongRPARerankAgent
  from projects.light_whoami.task.utils import extract_characters
  from projects.msc.agents.long_tga import TransformerVariantAgent
  from parlai.agents.reranker.reranker import AbstractReranker
label_desc: Use image node_id 1 to create a new PacerTreeSearchMixin object from inherited base classes: TreeSearch with example: obj = PacerTreeSearchMixin()