Hubble and Baker Simulation in Python

The Problem:

In this assignment for the Simulation course, we want to simulate an Autorastaurant 1000 times (1000 customers), we have two servicers named "Hubble" and "Baker", Hubble is better at work and much faster, so when a customer comes in the place, if Hubble is not busy, the customer goes to the Hubble to get the service.

Distribution of Hubble service time:

Time of Service	Probability	Cumulative Probability	Allocation of random numbers
2	0.3	0.30	01-30
3	0.28	0.58	31-58
4	0.25	0.83	59-83
5	0.17	1.00	84-100

Distribution of Baker service time:

Time of Service	Probability	Cumulative Probability	Allocation of random numbers
3	0.35	0.35	01-35
4	0.25	0.60	36-60
5	0.20	0.80	61-80
6	0.20	1.00	81-100

Distribution Inter-arrival times of customers:

Interarrival time	Probability	Cumulative Probability	Allocation of random numbers
1	0.25	0.25	01-25
2	0.40	0.65	26-65
3	0.20	0.85	66-85
4	0.15	1.00	86-100