code: def generate_synthetic_text(
      dialect, dialect_symbols, length, examples
  ):
      temp_file = tempfile.NamedTemporaryFile(
          mode="w", delete=False, dir="/tmp"
      )
      temp_file_name = temp_file.name
      temp_file.close()
      with open(temp_file_name, "w") as temp_file:
          for _ in range(examples):
              temp_file.write(
                  " ".join(random.sample(dialect_symbols, length))
                  + "\n"
              )
      return temp_file_name
  
file_path: translate/pytorch_translate/benchmark.py
imports: import os
  import random
  import tempfile
  from fairseq import options, tasks
  from pytorch_translate import generate, options, rnn, utils
  from pytorch_translate.constants import CHECKPOINT_PATHS_DELIMITER
label_desc: Use image node_id 3 for calling a global function with example usage: generate_synthetic_text(dialect, dialect_symbols, length, examples) and returns: temp_file_name