code: def __init__(self, topic: Topic):
      self.sieves = []
      self.results_dict = dict()
      self.results_ordered = []
      logger.info(
          "loading topic %s, total mentions: %d",
          topic.topic_id,
          len(topic.mentions),
      )
      self.clusters = Clusters(topic.topic_id, topic.mentions)
  
file_path: nlp-architect/nlp_architect/models/cross_doc_coref/system/sieves/run_sieve_system.py
imports: import logging
  import time
  from nlp_architect.common.cdc.cluster import Clusters
  from nlp_architect.common.cdc.topics import Topic
  from nlp_architect.models.cross_doc_coref.system.sieves.sieves import SieveClusterMerger
  from nlp_architect.models.cross_doc_coref.system.sieves_container_init import SievesContainerInitialization
label_desc: Use image node_id 1 to create a new RunSystemsSuper object from inherited base classes: object with example: obj = RunSystemsSuper(topic)