code: def _stage_user_code_in_s3(self):
          
          local_mode = self.output_path.startswith('file://')
  
          if self.code_location is None and local_mode:
              code_bucket = self.sagemaker_session.default_bucket()
              code_s3_prefix = '{}/source'.format(self._current_job_name)
              kms_key = None
  
          elif self.code_location is None:
              code_bucket, _ = parse_s3_url(self.output_path)
              code_s3_prefix = '{}/source'.format(self._current_job_name)
              kms_key = self.output_kms_key
          else:
              code_bucket, key_prefix = parse_s3_url(self.code_location)
              code_s3_prefix = '/'.join(filter(None, [key_prefix, self._current_job_name, 'source']))
  
              output_bucket, _ = parse_s3_url(self.output_path)
              kms_key = self.output_kms_key if code_bucket == output_bucket else None
  
          return tar_and_upload_dir(session=self.sagemaker_session.boto_session,
                                    bucket=code_bucket,
                                    s3_key_prefix=code_s3_prefix,
                                    script=self.entry_point,
                                    directory=self.source_dir,
                                    dependencies=self.dependencies,
                                    kms_key=kms_key)
docs: Upload the user training script to s3 and return the location.
  
          Returns: s3 uri