code: def run_mr_sandbox(self, mr_job, stdin):
      # inline runs the job in the same process so small jobs tend to
      # run faster and stack traces are simpler
      # --no-conf prevents options from local mrjob.conf from polluting
      # the testing environment
      # "-" reads from standard in
      mr_job.sandbox(stdin=stdin)
  
      # make_runner ensures job cleanup is performed regardless of
      # success or failure
      with mr_job.make_runner() as runner:
          runner.run()
          for line in runner.stream_output():
              key, value = mr_job.parse_output_line(line)
              yield value
  
file_path: data-science-ipython-notebooks/mapreduce/test_mr_s3_log_parser.py
imports: from StringIO import StringIO
  import unittest2
  from mr_s3_log_parser import MrS3LogParser
label_desc: Use image node_id 1 for calling the MrTestsUtil obj's underlying member method code with example usage: obj.run_mr_sandbox(mr_job, stdin) without return types