def load_batch_suff_stat_from_memory(self, batchID, K):
    SSchunk = self.SSmemory[batchID]
    # "replay" accepted merges from end of previous lap 
    if self.hasMove('merge'): 
      for MInfo in self.MergeLog:
        kA = MInfo['kA']
        kB = MInfo['kB']
        if kA < SSchunk.K and kB < SSchunk.K:
          SSchunk.mergeComps(kA, kB)
      if SSchunk.hasMergeTerms():
        SSchunk.setMergeFieldsToZero()
    # "replay" generic and batch-specific births from this lap
    if self.hasMove('birth'):   
      Kextra = K - SSchunk.K
      if Kextra > 0:
        SSchunk.insertEmptyComps(Kextra)
    assert SSchunk.K == K
    return SSchunk
Load the suff stats stored in memory for provided batchID
dataset/ETHPy150Open daeilkim/refinery/refinery/bnpy/bnpy-dev/bnpy/learnalg/MemoizedOnlineVBLearnAlg.py/MemoizedOnlineVBLearnAlg.load_batch_suff_stat_from_memory