code: def __init__(self, trend, date_part):
      super().__init__(trend)
      self.mDatePart = date_part
      self.mEncodedValueDict = {}
      self.mFormula = "Seasonal_" + self.mDatePart
      self.mComplexity = 1
  
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 1 to create a new cSeasonalPeriodic object from inherited base classes: cAbstractCycle with example: obj = cSeasonalPeriodic(trend, date_part)