Make a new treatment model called repeated$\_$surgery$\_$treatment$\_$mod that is nearly the same, except that the surgeries can be repeated:

At any time after the initial treatment $($ T$\_\_$detect $+$ T$\_$lag $)$ we get a new T$\_$detect whenever the tumor size exceeds K$\_$detect

If T$\_$detect $+$ T$\_$lag $($using the newly detected T$\_$detect $)$ is less than $10$ years, then perform the new surgery.

Repeat until you reach the end of $10$ years.

Hint: To avoid an infinite loop, make sure your new $T[$n$\_$detect$]$ exceeds the most recent treatment time. Make appropriate use of temporary variables and while loops in your new function.

Write your new code in Python run it$,$ and plot it$.$

Part $2$

Describe the dynamics of your solution. How effective are the repeated surgeries when the lymph node metastases have not been removed?