code: def testOneDayAheadPredictWithoutDynamic(self):
      self.dlm3._forwardFilter(start=0, end=11, renew=False)
      self.dlm3.result.filteredSteps = (0, 11)
      (obs, var) = self.dlm3._oneDayAheadPredict(date=11)
      self.assertAlmostEqual(obs, -6.0 / 7)
      self.assertAlmostEqual(
          self.dlm3.result.predictStatus, [11, 12, [-6.0 / 7]]
      )
  
      (obs, var) = self.dlm3._oneDayAheadPredict(date=2)
      self.assertAlmostEqual(obs, 3.0 / 5)
      # notice that the two latent states always sum up to 0
      self.assertAlmostEqual(
          self.dlm3.result.predictStatus, [2, 3, [3.0 / 5]]
      )
  
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 2 for calling the test_dlmPredict obj's underlying member method code with example usage: obj.testOneDayAheadPredictWithoutDynamic() without return types