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Copy path477 Total Hamming Distance.py
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477 Total Hamming Distance.py
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#!/usr/bin/python3
"""
The Hamming distance between two integers is the number of positions at which
the corresponding bits are different.
Now your job is to find the total Hamming distance between all pairs of the
given numbers.
Example:
Input: 4, 14, 2
Output: 6
Explanation: In binary representation, the 4 is 0100, 14 is 1110, and 2 is 0010
(just
showing the four bits relevant in this case). So the answer will be:
HammingDistance(4, 14) + HammingDistance(4, 2) + HammingDistance(14, 2)
= 2 + 2 + 2 = 6.
Note:
Elements of the given array are in the range of 0 to 10^9
Length of the array will not exceed 10^4.
Author: Rajeev Ranjan
"""
class Solution:
def totalHammingDistance(self, nums):
"""
Brute force, check every combination O(n^2 * b)
check bit by bit
For each bit, the distance for all is #0 * #1
O(n * b)
:type nums: List[int]
:rtype: int
"""
ret = 0
while any(nums): # any not 0
z, o = 0, 0
for i in range(len(nums)):
if nums[i] & 1 == 0:
o += 1
else:
z += 1
nums[i] >>= 1
ret += z * o
return ret
if __name__ == "__main__":
assert Solution().totalHammingDistance([4, 14, 2]) == 6