code: def _modify_config_data(max_seq_length, num_train_data, num_classes):
      # Modify the data configuration file
      config_data_exists = os.path.isfile("./config_data.py")
      if config_data_exists:
          with open("./config_data.py", "r") as file:
              filedata = file.read()
              filedata_lines = filedata.split("\n")
              idx = 0
              while True:
                  if idx >= len(filedata_lines):
                      break
                  line = filedata_lines[idx]
                  if (
                      line.startswith("num_classes =")
                      or line.startswith("num_train_data =")
                      or line.startswith("max_seq_length =")
                  ):
                      filedata_lines.pop(idx)
                      idx -= 1
                  idx += 1
  
              if len(filedata_lines) > 0:
                  insert_idx = 1
              else:
                  insert_idx = 0
              filedata_lines.insert(
                  insert_idx,
                  "{} = {}".format("num_train_data", num_train_data),
              )
              filedata_lines.insert(
                  insert_idx,
                  "{} = {}".format("num_classes", num_classes),
              )
              filedata_lines.insert(
                  insert_idx,
                  "{} = {}".format("max_seq_length", max_seq_length),
              )
  
          with open("./config_data.py", "w") as file:
              file.write("\n".join(filedata_lines))
          tf.logging.info("config_data.py has been updated")
      else:
          tf.logging.info("config_data.py cannot be found")
  
      tf.logging.info("Data preparation finished")
  
imports: import os
  import tensorflow
  import texar.tf
  from utils import data_utils
label_desc: Use image node_id 1 for calling a global function with example usage: _modify_config_data(max_seq_length, num_train_data, num_classes) without return types