code: def computeBestCycle(self):
      # self.dumpCyclePerfs();
      lCycleFrameEstim = self.mSplit.getEstimPart(self.mCycleFrame)
      self.mDefaultValue = lCycleFrameEstim[
          self.mTrend_residue_name
      ].mean()
      self.mBestCycleLength = None
      lBestCycleIdx = None
      lBestCriterion = None
      if self.mCyclePerfDict:
          for k in sorted(self.mCyclePerfDict.keys()):
              # smallest cycles are better
              if (lBestCriterion is None) or (
                  self.mCyclePerfDict[k] < lBestCriterion
              ):
                  lBestCycleIdx = k
                  lBestCriterion = self.mCyclePerfDict[k]
  
          if self.mOptions.mCycle_Criterion_Threshold is None or (
              self.mCyclePerfDict[lBestCycleIdx]
              < self.mOptions.mCycle_Criterion_Threshold
          ):
              self.mBestCycleLength = lBestCycleIdx
      # print("BEST_CYCLE_PERF" , self.mTrend_residue_name, self.mBestCycleLength)
  
      self.transformDataset(self.mCycleFrame)
      pass
  
imports: import pandas
  import numpy
  from .None import Time
  from .None import Perf
  from .None import Plots
  from .None import Utils
  import time
label_desc: Use image node_id 4 for calling the cBestCycleForTrend obj's underlying member method code with example usage: obj.computeBestCycle() without return types