Bitwise AND
Given an array of non-negative integers, count the number of unordered pairs of array elements such that their bitwise AND is a power of 2.
For example, let's say the array is arr = [10, 7, 2, 8, 3), and let '&' denote the bitwise AND operator. There are 6 unordered pairs of its elements that have a bitwise AND that is a power of two:
• For indices (0,1), 10 & 7 = 2, which is a power of 2.
• For indices (0,2), 10 & 2 = 2, which is a power of 2.
• For indices (0,3), 10 & 8 = 8, which is a power of 2.
• For indices (0,4), 10 & 3 = 2, which is a power of 2.
• For indices (1,2), 7 & 2 = 2, which is a power of 2.
• For indices (2,4), 2 & 3 = 2, which is a power of 2.
Therefore, the answer is 6.
Function Description
Complete the function countPairs in the editor below.
int arr[n]: an array of integers
Returns:
int: the number of unordered pairs of elements of arr such that their bitwise AND is a power of 2
Constraints
• 1sns 2*105
• Os arr[i]<212
Solution in Python:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | #!/bin/python3 import math import os import random import re import sys from collections import defaultdict # # Complete the 'countPairs' function below. # # The function is expected to return a LONG_INTEGER. # The function accepts INTEGER_ARRAY arr as parameter. # def countPairs(arr): po2 = lambda x: x > 0 and not (x & (x - 1)) d = defaultdict(int) for x in arr: d[x] += 1 d = list(d.items()) ans = 0 for i in range(len(d)): a, a_cnt = d[i] for j in range(i, len(d)): b, b_cnt = d[j] if po2(a & b): if a == b: ans += (a_cnt * (a_cnt - 1)) // 2 else: ans += a_cnt * b_cnt return ans if __name__ == '__main__': fptr = open(os.environ['OUTPUT_PATH'], 'w') arr_count = int(input().strip()) arr = [] for _ in range(arr_count): arr_item = int(input().strip()) arr.append(arr_item) result = countPairs(arr) fptr.write(str(result) + '\n') fptr.close() |
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