code: def process_init():
      global tokenizer
      tokenizer = transformers.GPT2TokenizerFast.from_pretrained("gpt2")
      tokenizer.model_max_length = int(1e30)
      tokenizer.pad_token = "<|endoftext|>"
  
      assert tokenizer.encode("hello\n\nhello") == [
          31373,
          198,
          198,
          31373,
      ]
  
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 1 for calling a global function with example usage: process_init() without return types