Solution 3 for Scaler Topics Fortnightly Contest - 14

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DSA Problem Solving for Interviews using Java
DSA Problem Solving for Interviews using Java
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DSA Problem Solving for Interviews using Java
DSA Problem Solving for Interviews using Java
by Jitender Punia
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4.9
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Topics Covered

This article is part of the Scaler Topics Fortnightly Contest - 14

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Solution Approach

  • If popcount(x)%2 = 0 and popcount(y)%2 = 0, then popcount(x⊕y)%2 is 0.
  • If popcount(x)%2 = 1 and popcount(y)%2 = 1, then popcount(x⊕y)%2 is 0.
  • If popcount(x)%2 = 0 and popcount(y)%2 = 1, then popcount(x⊕y)%2 is 1.
  • Thus, we can say for an array to be superior, the count of elements x such that popcount(x)%2 = 1 should be even.
  • Thus we maintain a Sorted List odd_popcount of indices of the A with elements having odd popcount at those indices.
  • For each query, if the parity of popcount changes, we add or remove the corresponding index based on the scenario.
  • If the size of odd_popcount is even after performing a query, then ans for that query is |A| since the whole array is superior. else, the longest superior subarray is either of the below:
  • subarray starting after the first index in odd_popcount till the end.
  • subarray starting from index 1 till before the last index in odd_popcount.
  • We can use std::set (C++) data structure for the same.

Time Complexity - O((N+Q)(log(K)+log(N)))O((N + Q) * (log(K) + log(N)))

where N is length of A and K=1e5(log(K)K = 1e5 (log(K) comes from counting popcount of elements).

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Python Implementation