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DIY: Random Pick with Weight

Explore how to implement the pick_index() function that selects indices based on weighted probabilities. Understand the logic behind weighted random choices, which mirrors real-world problems like Uber's driver allocation. This lesson prepares you to solve similar probability-based interview questions by mapping real input arrays to expected randomized outputs.

Problem statement

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