def _cleaned(_pipeline_objects):
 pipeline_objects = copy.deepcopy(_pipeline_objects)
 for pipeline_object in pipeline_objects:
  if (pipeline_object['id'] == 'DefaultSchedule'):
   for field_object in pipeline_object['fields']:
    if (field_object['key'] == 'startDateTime'):
     start_date_time_string = field_object['stringValue']
     start_date_time = datetime.datetime.strptime(start_date_time_string, '%Y-%m-%dT%H:%M:%S')
     field_object['stringValue'] = start_date_time.strftime('%H:%M:%S')
 return pipeline_objects

def _cleaned ( _pipeline_objects ) : pipeline_objects = copy . deepcopy ( _pipeline_objects ) for pipeline_object in pipeline_objects : if ( pipeline_object [ 'id' ] == 'DefaultSchedule' ) : for field_object in pipeline_object [ 'fields' ] : if ( field_object [ 'key' ] == 'startDateTime' ) : start_date_time_string = field_object [ 'stringValue' ] start_date_time = datetime . datetime . strptime ( start_date_time_string , '%Y-%m-%dT%H:%M:%S' ) field_object [ 'stringValue' ] = start_date_time . strftime ( '%H:%M:%S' ) return pipeline_objects
return standardized pipeline objects to be used for comparing remove year .