docstr: Minimal function w/ args and ctx
docstr_tok: ["Minimal","function","w\/","args","and","ctx"]
code: def test_run(self):
      """Minimal function w/ args and ctx"""
  
      def fn(args, ctx):
          print(
              "{}:{} args: {}".format(
                  ctx.job_name, ctx.task_index, args
              )
          )
          self.assertEqual(ctx.job_name, self.job_name)
          self.assertEqual(ctx.task_index, 0)
  
      tf_args = self.parser.parse_args([])
      map_fn = TFSparkNode.run(
          fn,
          tf_args,
          self.cluster_meta,
          self.tensorboard,
          self.log_dir,
          self.queues,
          self.background,
      )
      map_fn([0])
  
file_path: TensorFlowOnSpark/tests/test_TFSparkNode.py
imports: import argparse
  import os
  import random
  import unittest
  from tensorflowonspark import gpu_info, reservation, TFSparkNode
  from unittest.mock import patch
label_desc: Use image node_id 3 for calling the TFSparkNodeTest obj's underlying member method code with example usage: obj.test_run() without return types