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counting_bits.cpp
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counting_bits.cpp
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/*
Given a non negative integer number num. For every numbers i in the range 0 ≤ i ≤ num calculate the number of 1's in their binary representation and return them as an array.
Example:
For num = 5 you should return [0,1,1,2,1,2].
Follow up:
It is very easy to come up with a solution with run time O(n*sizeof(integer)). But can you do it in linear time O(n) /possibly in a single pass?
Space complexity should be O(n).
Can you do it like a boss? Do it without using any builtin function like __builtin_popcount in c++ or in any other language.
*/
class Solution {
public:
vector<int> countBits(int num) {
//int count[num + 1];
// memset(count,-1,sizeof(count));
vector<int> ret;
int power = 0;
int next_power = 1;
for(int i=0;i <= num;i++)
{
if(i==0)
{
ret.push_back(0);
//count[i]=0;
}
else if(i == next_power)
{
ret.push_back(1);
power = next_power;
next_power = next_power * 2;
//count[i] = 1;
}
else if(i%2 != 0)
{
ret.push_back(ret[i - 1] + 1);
}
else
{
int tmp = i - power;
int cnt = 1 + ret[tmp];
ret.push_back(cnt);
//count[i] = cnt;
}
}
return ret;
}
};