Question
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.
Hint:
- You should make use of what you have produced already.
- Divide the numbers in ranges like [2-3], [4-7], [8-15] and so on. And try to generate new range from previous.
- Or does the odd/even status of the number help you in calculating the number of 1s?
Solution
Result: Accepted Time: 40 ms
Here should be some explanations.
/**
* Return an array of size *returnSize.
* Note: The returned array must be malloced, assume caller calls free().
*/
int* countBits(int num, int* returnSize) {
int * ary = malloc((num+2)*sizeof(int));
*returnSize = num + 1;
int ptr = 1;
int cnt = 2;
ary[0] = 0;
ary[1] = 1;
int limit = num / 2;
while(ptr <= limit)
{
ary[(ptr<<1)] = ary[ptr];
ary[(ptr<<1)|1] = ary[ptr]+1;
ptr++;
}
return ary;
}
Complexity Analytics
- Time Complexity:
- Space Complexity: