Question presented to candidate: "In the minimum window substring problem, people keep a 'need' map and a 'have' counter. Explain exactly what each one holds, when each counter changes, and why that makes the window check constant time. Then write the solution in Python."
What a strong answer should cover:
need= counts of t;window= counts in the current slice;required= distinct characters of t;have= distinct characters whose window count is at least their need.- The window is valid exactly when
have == required, so the check is O(1) instead of O(k). havechanges only on threshold crossings:+1when a count reaches its need after adding,-1when it drops below after removing; spare copies change nothing.- The equivalent
missingcounter over total copies, and the two classic bugs (>=on add,<=on remove). - Python specifics:
Counter(t)forneedandlen(need)forrequired;ch in needbefore comparing, because characters outside t must not touchhave;need.get(c, 0)for the missing-counter variant.
Clarifying questions expected:
- "Do duplicate characters in t have to be matched with multiplicity?" โ this is what makes counts necessary.
Code / implementation expected: Yes โ the min-window function in Python, explaining each counter update as it is written.