code: def evaluate(opt):
      """Score the wikitext2 testset"""
      ArgumentParser.validate_translate_opts(opt)
      ArgumentParser._get_all_transform_translate(opt)
      ArgumentParser._validate_transforms_opts(opt)
      ArgumentParser.validate_translate_opts_dynamic(opt)
      logger = init_logger(opt.log_file)
      set_random_seed(opt.seed, use_gpu(opt))
  
      run_results = {}
      dir_name = os.path.dirname(opt.models[0])
      base_name = os.path.basename(opt.models[0])
  
      output_filename = os.path.join(
          dir_name, "wikitext-2_benchmark_%s.json" % base_name[:-3]
      )
  
      # Build the translator (along with the model.
      engine_opt = copy.copy(opt)
      engine_opt._all_transform = []
      engine = InferenceEnginePY(engine_opt)
  
      # Tokenize the dataset.
      opt.src = "wikitext-2-raw-v1/wikitext-2-raw/wiki.test.raw"
      tokenize_dataset(opt, context_length=512)
  
      # Score the tokeznized dataset
      engine.opt.src = opt.src + f".tokenized.context_{512}"
      start_time = time.time()
      scored_results = engine.score_file()
      engine.terminate()
      run_results["scored_results"] = scored_results
  
      with open(output_filename, "w") as f:
          json.dump(run_results, f, ensure_ascii=False, indent=2)
  
      compute_file_ppl(output_filename)
  
      end_time = time.time()
      logger.info("total run time %.2f" % (end_time - start_time))
  
file_path: OpenNMT-py/eval_llm/WIKITEXT2/run_wikitext-2_benchmark.py
imports: import copy
  import json
  import numpy
  import os
  import pyonmttok
  import time
  from onmt.constants import CorpusTask, DefaultTokens
  from onmt.inference_engine import InferenceEnginePY
  from onmt.inputters.dynamic_iterator import build_dynamic_dataset_iter
  import onmt.opts
  from onmt.utils.logging import init_logger
  from onmt.utils.parse import ArgumentParser
  from onmt.utils.misc import use_gpu, set_random_seed
  from onmt.transforms import get_transforms_cls
label_desc: Use image node_id 3 for calling a global function with example usage: evaluate(opt) without return types