Using the function random.random_sample from numpy package write three functions: exponentialRV(seed, mean,n) that returns for given seed a bunch of n random variables from an exponential distribution with the provided mean. Derive the generalized inverse distribution function analytically for your simulation. poissonRV(seed, mean,n) that returns for given seed a bunch of n Poisson distributed random numbers with the provided mean. You have to numerically calculate the inverse distribution function * funnyDiceRV(seed,n) that returns for given seed a bunch of n random number which describe a biased die with distribution