old_contents: import json
  import logging
  import argparse
  import numpy as np
  
  import emission.pipeline.scheduler as eps
  
  if __name__ == '__main__':
      try:
          intake_log_config = json.load(open("conf/log/intake.conf", "r"))
      except:
          intake_log_config = json.load(open("conf/log/intake.conf.sample", "r"))
  
      intake_log_config["handlers"]["file"]["filename"] = intake_log_config["handlers"]["file"]["filename"].replace("intake", "intake_launcher")
      intake_log_config["handlers"]["errors"]["filename"] = intake_log_config["handlers"]["errors"]["filename"].replace("intake", "intake_launcher")
  
      logging.config.dictConfig(intake_log_config)
      np.random.seed(61297777)
  
      parser = argparse.ArgumentParser()
      parser.add_argument("n_workers", type=int,
                          help="the number of worker processors to use")
      parser.add_argument("-p", "--public", action="store_true",
          help="pipeline for public (as opposed to regular) phones")
      args = parser.parse_args()
  
      split_lists = eps.get_split_uuid_lists(args.n_workers, args.public)
      logging.info("Finished generating split lists %s" % split_lists)
      eps.dispatch(split_lists, args.public)
  
new_contents: import json
  import logging
  import argparse
  import numpy as np
  
  import emission.pipeline.scheduler as eps
  
  if __name__ == '__main__':
      try:
          intake_log_config = json.load(open("conf/log/intake.conf", "r"))
      except:
          intake_log_config = json.load(open("conf/log/intake.conf.sample", "r"))
  
      parser = argparse.ArgumentParser()
      parser.add_argument("n_workers", type=int,
                          help="the number of worker processors to use")
      parser.add_argument("-p", "--public", action="store_true",
          help="pipeline for public (as opposed to regular) phones")
      args = parser.parse_args()
  
      if args.public:
          intake_log_config["handlers"]["file"]["filename"] = intake_log_config["handlers"]["file"]["filename"].replace("intake", "intake_launcher_public")
          intake_log_config["handlers"]["errors"]["filename"] = intake_log_config["handlers"]["errors"]["filename"].replace("intake", "intake_launcher_public")
      else:
          intake_log_config["handlers"]["file"]["filename"] = intake_log_config["handlers"]["file"]["filename"].replace("intake", "intake_launcher")
          intake_log_config["handlers"]["errors"]["filename"] = intake_log_config["handlers"]["errors"]["filename"].replace("intake", "intake_launcher")
  
      logging.config.dictConfig(intake_log_config)
      np.random.seed(61297777)
  
      split_lists = eps.get_split_uuid_lists(args.n_workers, args.public)
      logging.info("Finished generating split lists %s" % split_lists)
      eps.dispatch(split_lists, args.public)
  
subject: Use a separate log file for the public launcher data