$($b$)$ John wrote different Python programs to implement the $$ calculation using the Monte Carlo method by generating the same number of random $(x,y)$ points $($i$.$e$.,4000000).$ The first uses threading, the second uses multiprocessing, and the third uses asyncio. All three have the same number of parallel components $($e$.$g$.,8$ threads or $8$ processes or $8$ tasks$).$ For comparison purpose, John also wrote a fourth one using numpy. Regarding the time efficiency, which one is the fastest and which one is the slowest? Please explain and give a rank of the four programs from the fastest to the slowest.