code: def train(self, anomaly_scores: TimeSeries, **kwargs) -> TimeSeries:
      for post_rule in self.post_rules:
          params = inspect.signature(post_rule.train).parameters
          if not any(
              v.kind.name == "VAR_KEYWORD" for v in params.values()
          ):
              local_kwargs = {
                  k: v for k, v in kwargs.items() if k in params
              }
          anomaly_scores = post_rule.train(
              anomaly_scores, **local_kwargs
          )
      return anomaly_scores
  
file_path: merlion/merlion/post_process/sequence.py
imports: import inspect
  from typing import Iterable
  from merlion.post_process.base import PostRuleBase
  from merlion.post_process.factory import PostRuleFactory
  from merlion.utils import TimeSeries
label_desc: Use image node_id 2 for calling the PostRuleSequence obj's underlying member method code with example usage: obj.train(anomaly_scores) and returns: anomaly_scores