I got the basic digit-to-letter mapping fine, but the '#' token tripped me up because you have to look ahead (or behind, depending on direction) to figure out if you're dealing with a one- or two-digit number.
Parse the string left-to-right using a state machine that handles three token types: single digits, digits followed by '#', and optional repetition suffixes in parentheses. For each token, determine the letter and its repeat count, then increment the frequency array accordingly. Validate edge cases like multi-digit repeats and ensure the final array sums to the total decoded length.
Pro tip: Clarify with the interviewer whether the input is guaranteed valid and whether repeat counts can be multi-digit or zero; this shows attention to detail and avoids incorrect assumptions. Also, consider memory efficiency by updating the frequency array directly instead of building the decoded string.
Confirm the exact mapping rules, especially how numbers followed by '#' work (e.g., '10#' to '26#'), and whether repeat counts can be multi-digit or zero. Ask about input validity and constraints.
Plan a single-pass parser that reads characters and identifies tokens: a digit not followed by '#' or '(' is a single-digit letter; a number followed by '#' is a two-digit letter; a parenthesized number after a token indicates repetition.
Iterate through the string, extract the letter and its repeat count for each token, and update the frequency array by adding the repeat count to the appropriate index.
Test with cases like '1(2)' (should give two 'a's), '10#(3)' (three 'j's), and multi-digit repeats like '1(12)'. Ensure the frequency array sums to the total decoded length.
State that the solution is O(n) time and O(1) space (since the frequency array is fixed size). Discuss potential optimizations like avoiding string concatenation.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.