code: def testOneDayAheadPredictWithoutDynamic(self):
      self.dlm3.fitForwardFilter()
      (obs, var) = self.dlm3.predict(date=11)
      self.assertAlmostEqual(obs, -6.0 / 7)
      self.assertAlmostEqual(
          self.dlm3._predictModel.result.predictStatus,
          [11, 12, [-6.0 / 7]],
      )
  
      (obs, var) = self.dlm3.predict(date=2)
      self.assertAlmostEqual(obs, 3.0 / 5)
      # notice that the two latent states always sum up to 0
      self.assertAlmostEqual(
          self.dlm3._predictModel.result.predictStatus,
          [2, 3, [3.0 / 5]],
      )
  
imports: import numpy
  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.dlm import dlm
label_desc: Use image node_id 10 for calling the testDlm obj's underlying member method code with example usage: obj.testOneDayAheadPredictWithoutDynamic() without return types