Design a Rate Limiter
MEDIUMDesign and implement a rate limiter that can handle millions of requests. Support multiple algorithms: token bucket, sliding window, fixed window. Consider distributed systems.
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Two Sum
Pythondef twoSum(nums, target): seen = {} for i, num in enumerate(nums): diff = target - num if diff in seen: return [seen[diff], i] seen[num] = i return []What's the time complexity of your solution? How would it handle duplicate values?
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How would this handle 10 million concurrent requests?
What's the trade-off?
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Should I consider distributed rate limiting?
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How would this handle 10 million concurrent requests?
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What's the trade-off?
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def two_sum(nums, target): seen = {} for i, n in enumerate(nums): if target - n in seen: return [seen[target - n], i] seen[n] = iTest Cases
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