Consider an Urgent Care $($UC$)$ comprising three doctors and one nurse to serve patients during the day. $$ On a typical day, the interarrival time is Exponentially distributed with a mean of $6$ minutes. $25\%$ of patients are high$-$priority, and the remaining are low$-$priority. $$ Upon arrival at UC$,$ the patients are triaged by a nurse into one of the two types of patients. The service time for triage is distributed by Triangular distribution with min $=3,$ max $=10,$ and the most likely value $=5$ minutes. $$ Then, the patients wait in the waiting room and get called to visit doctors on a first$-$ come$-$first$-$served basis. If more than $10$ people are waiting for service, an arriving patient will exit before being triaged. $$ Finally, low$-$priority patients may depart if they have to wait longer than$205$ minutes $($Uniformly distributed$)$ after triage. $$ The doctor service time distributions are given as follows. Priority Service Time Distribution $($in Minutes$)$ High Normal$($mean $=40,$ sd $=5)$ Low Gamma$($shape $=15,$ rate $=1)$ Assuming that the UC opens at $8$ hours, simulate the process for $50$ replications. The UC would like to estimate the following: $($a$)$ the average flow time of each type of patient. $($b$)$ the probability that low$-$priority patients balk. Needs to be in python this is all information I have.