code: def testContinuePredictWithDynamic(self):
      self.dlm4._forwardFilter(start=0, end=9, renew=False)
      self.dlm4.result.filteredSteps = (0, 9)
      featureDict = {"dynamic": 2.0}
      (obs, var) = self.dlm4._oneDayAheadPredict(
          date=9, featureDict=featureDict
      )
      self.assertAlmostEqual(
          self.dlm4.result.predictStatus, [9, 10, [5.0 / 6 * 2]]
      )
  
      featureDict = {"dynamic": 3.0}
      (obs, var) = self.dlm4._continuePredict(featureDict=featureDict)
      self.assertAlmostEqual(
          self.dlm4.result.predictStatus,
          [9, 11, [5.0 / 6 * 2, 5.0 / 6 * 3]],
      )
  
file_path: pydlm/tests/predict/test_dlmPredict.py
imports: import unittest
  from pydlm.modeler.trends import trend
  from pydlm.modeler.seasonality import seasonality
  from pydlm.modeler.dynamic import dynamic
  from pydlm.modeler.autoReg import autoReg
  from pydlm.predict._dlmPredict import _dlmPredict
label_desc: Use image node_id 5 for calling the test_dlmPredict obj's underlying member method code with example usage: obj.testContinuePredictWithDynamic() without return types