code: def __init__(self, tpu_cluster, seq, batch, shrink, min_seq=None):
      super().__init__()
      self.tpu = tpu_cluster
      self.seq = seq
      self.batch = batch
      self.shrink = shrink
      self.min_seq = min_seq
  
      self.pool = multiprocessing.Pool(initializer=process_init)
      process_init()
  
file_path: mesh-transformer-jax/tasks/eval_harness.py
imports: from functools import partial
  import transformers
  from lm_eval.base import LM
  from tqdm import tqdm
  import numpy
  from tasks.util import sample_batch, shrink_seq
  import multiprocessing
  import ftfy
label_desc: Use image node_id 3 to create a new EvalHarnessAdaptor object from inherited base classes: LM with example: obj = EvalHarnessAdaptor(tpu_cluster, seq, batch, shrink, min_seq)