Simulate Driver Wait Times | Dataford Interview Questions

Write a Python script to simulate a specific probability distribution representing driver wait times on Uber Drivers.

Use a geometric distribution where each minute has an independent probability p that a driver receives a request. Implement the function below and return reproducible wait times using the supplied seed. Each wait time is the number of minutes through and including the successful minute.

Contract: simulate_wait_times(n, p, seed) returns a list of n positive integers. Use Python's seeded pseudorandom generator.

Constraints

0 <= n <= 1000
0 < p <= 1
seed is a non-negative integer
Each returned wait time is a positive integer
The output must contain exactly n values

Function Signature

def simulate_wait_times(n, p, seed):

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Problem

Write a Python script to simulate a specific probability distribution representing driver wait times on Uber Drivers.

Contract: simulate_wait_times(n, p, seed) returns a list of n positive integers. Use Python's seeded pseudorandom generator.

Constraints

0 <= n <= 1000
0 < p <= 1
seed is a non-negative integer
Each returned wait time is a positive integer
The output must contain exactly n values

Function Signature

def simulate_wait_times(n, p, seed):

Your question is Simulate Driver Wait Times. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.