Question
Implement a multi-version key-value store with point-in-time reads (MVCC). A logical clock starts at 0 and increments by 1 on every "put". Process operations: ["put", key, value] writes value to key at the new timestamp (the clock after incrementing); ["get", key, ts] reads the value key had AS OF timestamp ts, i.e. the value of the most recent put to that key whose timestamp is <= ts, or the string "<none>" if the key had no put at or before ts. Return a list with the result of each "get" op in order. The first put happens at timestamp 1. Keys/values are strings; <= 10^5 ops.
mvcc_store(ops: list[list]) → list[str][[["put","a","v1"],["put","a","v2"],["get","a",1],["get","a",2]]]out["v1","v2"]State your approach and its time/space complexity out loud before you optimize. Handle the edge cases (empty input, duplicates, overflow), and say why you chose this over the brute force. Green tests are the floor, not the grade.
Vibe coding: describe the solution in plain language (or narrate it) and the coach grades your approach. Generating runnable code from your description is coming next.