{ "data": { "question": { "questionId": "477", "questionFrontendId": "477", "categoryTitle": "Algorithms", "boundTopicId": 1798, "title": "Total Hamming Distance", "titleSlug": "total-hamming-distance", "content": "
The Hamming distance between two integers is the number of positions at which the corresponding bits are different.
\n\nGiven an integer array nums, return the sum of Hamming distances between all the pairs of the integers in nums.
\n
Example 1:
\n\n\nInput: nums = [4,14,2]\nOutput: 6\nExplanation: In binary representation, the 4 is 0100, 14 is 1110, and 2 is 0010 (just\nshowing the four bits relevant in this case).\nThe answer will be:\nHammingDistance(4, 14) + HammingDistance(4, 2) + HammingDistance(14, 2) = 2 + 2 + 2 = 6.\n\n\n
Example 2:
\n\n\nInput: nums = [4,14,4]\nOutput: 4\n\n\n
\n
Constraints:
\n\n1 <= nums.length <= 1040 <= nums[i] <= 109两个整数的 汉明距离 指的是这两个数字的二进制数对应位不同的数量。
\n\n给你一个整数数组 nums,请你计算并返回 nums 中任意两个数之间 汉明距离的总和 。
\n\n
示例 1:
\n\n\n输入:nums = [4,14,2]\n输出:6\n解释:在二进制表示中,4 表示为 0100 ,14 表示为 1110 ,2表示为 0010 。(这样表示是为了体现后四位之间关系)\n所以答案为:\nHammingDistance(4, 14) + HammingDistance(4, 2) + HammingDistance(14, 2) = 2 + 2 + 2 = 6\n\n\n
示例 2:
\n\n\n输入:nums = [4,14,4]\n输出:4\n\n\n
\n\n
提示:
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