dc803671a48a3c8f0dc74221478314257b0c9c61,pgmpy/models/MarkovChain.py,MarkovChain,_check_state,#MarkovChain#Any#,92

Before Change

        
        if not isinstance(state, dict):
            raise ValueError("Start state must be a dict.")
        if not set(state.keys()) == set(self.transition_models.keys()):
            raise ValueError("Start state must represent a complete assignment to all variables.")
        for var, val in state.items():
            if val >= self.cardinalities[var]:
                raise ValueError("Assignment {val} to {var} invalid.".format(val=val, var=var))
        return True

After Change

        
        if not hasattr(state, "__iter__"):
            raise ValueError("Start state must be a iterable object.")
        state_vars = {s.var for s in state}
        model_vars = set(self.transition_models.keys())
        if not state_vars == model_vars:
            raise ValueError("Start state must represent a complete assignment to all variables."
                             "Expected variables in state: {svar}, Got: {mvar}.".format(svar=state_vars,
                                                                                        mvar=model_vars))
        for var, val in state:
            if val >= self.cardinalities[var]:
                raise ValueError("Assignment {val} to {var} invalid.".format(val=val, var=var))
        return True

Instances