Old fashioned boolean
People don't give much credit anymore to George Boole (George Boole - Wikipedia), but that's a mistake, a simple boolean operation can save you a lot of time and space.
This problem exemplifies it. Given the low boundaries (N=50), an N^2 solution works fine and the use of a simple boolean array makes it an elegant solution too. Code is down below, cheers, ACC.
Find the Prefix Common Array of Two Arrays - LeetCode
You are given two 0-indexed integer permutations A
and B
of length n
.
A prefix common array of A
and B
is an array C
such that C[i]
is equal to the count of numbers that are present at or before the index i
in both A
and B
.
Return the prefix common array of A
and B
.
A sequence of n
integers is called a permutation if it contains all integers from 1
to n
exactly once.
Example 1:
Input: A = [1,3,2,4], B = [3,1,2,4] Output: [0,2,3,4] Explanation: At i = 0: no number is common, so C[0] = 0. At i = 1: 1 and 3 are common in A and B, so C[1] = 2. At i = 2: 1, 2, and 3 are common in A and B, so C[2] = 3. At i = 3: 1, 2, 3, and 4 are common in A and B, so C[3] = 4.
Example 2:
Input: A = [2,3,1], B = [3,1,2] Output: [0,1,3] Explanation: At i = 0: no number is common, so C[0] = 0. At i = 1: only 3 is common in A and B, so C[1] = 1. At i = 2: 1, 2, and 3 are common in A and B, so C[2] = 3.
Constraints:
1 <= A.length == B.length == n <= 50
1 <= A[i], B[i] <= n
It is guaranteed that A and B are both a permutation of n integers.
public int[] FindThePrefixCommonArray(int[] A, int[] B) { int[] C = new int[A.Length]; bool[] inA = new bool[A.Length + 1]; bool[] inB = new bool[B.Length + 1]; for (int i = 0; i < C.Length; i++) { inA[A[i]] = true; inB[B[i]] = true; C[i] = 0; for (int j = 0; j < inA.Length; j++) C[i] = (inA[j] & inB[j]) ? C[i] + 1 : C[i]; } return C; }
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