code: def step_file(self, train_files, test_files=None):
      train_dataset, data_size = to_textline_dataset(
          train_files[self.task_index], self.config
      )
      steps = data_size // self.config["batch_size"] + 1
      print("Number of train records for this worker: ", data_size)
      print("Number of steps for this worker: ", steps)
      test_dataset = None
      if test_files:
          test_dataset, test_data_size = to_textline_dataset(
              test_files[self.task_index], self.config
          )
          test_steps = test_data_size // self.config["batch_size"] + 1
          self.config["test_steps"] = test_steps
          print(
              "Number of test records for this worker: ", test_data_size
          )
          print(
              "Number of test steps for this worker: ",
              self.config["test_steps"],
          )
      return main(
          train_dataset,
          test_dataset,
          self.tf_config,
          self.server,
          self.config,
      )
  
imports: import time
  import argparse
  import tensorflow
  import os
  import sys
  import math
  import collections
  from tensorflow.python.client import timeline
  import json
  from tensorflow.python.ops import partitioned_variables
  import ray
  from bigdl.dllib.utils.log4Error import *
  from bigdl.orca import init_orca_context, stop_orca_context, OrcaContext
  from bigdl.orca.data.utils import process_spark_xshards
  from bigdl.orca.learn.utils import maybe_dataframe_to_xshards
  from bigdl.friesian.feature import FeatureTable
label_desc: Use image node_id 6 for calling the RayWorker obj's underlying member method code with example usage: obj.step_file(train_files, test_files) and returns: main