code: def testMissingEvaluation(self):
      dlm = builder()
      dlm.add(self.trend0)
      dlm.initialize()
  
      dlm.model.evaluation = np.matrix([[None]])
      self.kf1.forwardFilter(
          dlm.model, 1.0, dealWithMissingEvaluation=True
      )
      self.assertAlmostEqual(dlm.model.obs, 0.0)
      self.assertAlmostEqual(dlm.model.transition, 1.0)
  
file_path: pydlm/tests/base/testKalmanFilter.py
imports: import numpy
  import unittest
  from pydlm.modeler.trends import trend
  from pydlm.modeler.seasonality import seasonality
  from pydlm.modeler.builder import builder
  from pydlm.base.kalmanFilter import kalmanFilter
label_desc: Use image node_id 7 for calling the testKalmanFilter obj's underlying member method code with example usage: obj.testMissingEvaluation() without return types