JSON parser
Implement a minimal JSON parser. Parse a string containing a JSON value built only from: objects with string keys, arrays, double-quoted strings (no escape sequences beyond \" and \\), integers, the literals true, false, null, and arbitrary whitespace between tokens. Return the corresponding Python value (dict, list, str, int, bool, or None). The input is always well-formed.
Implement
parse_json(s: str) → anyExamples
in
["{\"a\": 1, \"b\": [true, null, \"hi\"]}"]out{"a":1,"b":[true,null,"hi"]}What a strong answer looks like
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.
0:00 of about 40 min
solution.py
InputExpectedGot
["{\"a\": 1, \"b\": [true, null, \"hi\"]}"]{"a":1,"b":[true,null,"hi"]}not run yetsample