Python question

5) Unfortunately, in a practical scenario, the robot does not always start fully charged. Modify your code by implementing a third state "Error" when no feasible plan is possible that will make the robot reach the charging station without completely draining the battery. In "Error" state, the robot aborts any search strategy. The output of the code should be a sequence of translations as described in Question 4 including the state of the robot. You should allow the user to input the starting node number, and the initial battery level. \# Sample output Enter starting node: 8 Enter starting battery level in Wh: 3 8 (Charging, 3 Wh) 6 (Charging, 2 Wh) 4 (Charging, 1 Wh) 11 (Error, OWh) Note: the sample output results were provided for illustration purpose only. The actual output of your program may be different depending on your graph representation. Hence, don't rely on the sample output as a test cases to check your program correctness. Encode the FSM with the search strategy. The robot should execute the strategy in Question 3 when in "Cleaning" state, and another strategy to navigate to the charging station when in "Charging" state. Assume that vising node 12 will increase battery level to 12Wh instantly. Also assume the robot starts with fully-charged battery. The output of the code should be a sequence of translations as described in Question 3 including the state and battery level of the robot. You should allow the user to input the.starting node number