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My first instinct was to just stringify the numerator and denominator and use that as a key, which would've broken on equivalent fractions like 2/3 and 4/6.
Normalize each fraction by dividing numerator and denominator by their greatest common divisor, then use a hash map to count occurrences of each reduced fraction. Track the maximum count as you iterate. Discuss handling edge cases like negative fractions and zero denominators.
Pro tip: Mention that you can avoid floating-point precision issues by using integer pairs as keys, and that normalizing signs (e.g., ensuring denominator is positive) is crucial for correct grouping.
Ask about input constraints: can denominators be zero? Are fractions negative? Should we return the count or the fraction itself? Confirm that reduced fractions are considered equal.
For each fraction, compute the greatest common divisor (GCD) of absolute values of numerator and denominator, then divide both by it. Ensure the denominator is positive by flipping signs if needed.
Store the normalized fraction as a key (e.g., a tuple or a string) and increment its count. Keep track of the maximum count seen so far.
Time complexity is O(n log(min(a,b))) due to GCD per fraction, space O(n) for the map. Discuss potential optimizations like early termination if a count exceeds half the array length.
Walk through a small example, including negative fractions and reducible fractions, to verify correctness. Mention that zero fractions (0/1) are handled naturally.
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