My first instinct was to just sort with a custom comparator keyed on the index of each character in order.
Clarify that characters not in order can be placed anywhere, so we can append them at the end. Use a frequency map to count characters in s, then iterate through order to build the result by repeating each character according to its count. Finally, append any remaining characters not in order.
Pro tip: Mention that this approach is O(n + m) time and O(1) space (since alphabet size is constant), and that it avoids sorting which would be O(n log n). This shows you consider efficiency and scalability.
Ask about the character set (e.g., ASCII, Unicode), whether order contains duplicates, and if s can be empty. Confirm that characters not in order can be placed anywhere.
Create a hash map or array to count the occurrences of each character in s. This allows O(1) lookup when building the result.
Iterate through each character in order. If it exists in the frequency map, append it to the result the number of times equal to its count, then remove it from the map.
After processing order, iterate over the remaining characters in the frequency map and append them to the result. The order among them doesn't matter.
State time complexity O(n + m) where n is length of s and m is length of order, and space O(k) where k is unique characters. Walk through an example to verify.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.