Counting bits#
Practice Link#
Description#
- 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.
Examples#
1Input: 2
2Output: [0,1,1]1Input: 5
2Output: [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).
Thinking#
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We do not need check the input parameter, because the question has already mentioned that the number is non negative.
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How we do this? The first idea come up with is find the pattern or rules for the result. Therefore, we can get following pattern
1Index : 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 2num : 0 1 1 2 1 2 2 3 1 2 2 3 2 3 3 4 -
Do you find the pattern?
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Obviously, this is overlap sub problem, and we can come up the DP solution. For now, we need find the function to implement DP.
1dp[0] = 0; 2dp[1] = dp[0] + 1; 3dp[2] = dp[0] + 1; 4dp[3] = dp[1] +1; 5dp[4] = dp[0] + 1; 6dp[5] = dp[1] + 1; 7dp[6] = dp[2] + 1; 8dp[7] = dp[3] + 1; 9dp[8] = dp[0] + 1; -
This is the function we get, now we need find the other pattern for the function to get the general function.
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After we analyze the above function, we can get
1dp[0] = 0; 2dp[1] = dp[1-1] + 1; 3dp[2] = dp[2-2] + 1; 4dp[3] = dp[3-2] +1; 5dp[4] = dp[4-4] + 1; 6dp[5] = dp[5-4] + 1; 7dp[6] = dp[6-4] + 1; 8dp[7] = dp[7-4] + 1; 9dp[8] = dp[8-8] + 1; -
Obviously, we can find the pattern for above example, so now we get the general function
dp[index] = dp[index - offset] + 1;
Python Solution#
1class Solution(object):
2 def countBits(self, num):
3 """
4 :type num: int
5 :rtype: List[int]
6 """
7 result = [0] * (num + 1)
8 offset = 1
9 for index in range(1, num + 1):
10 if (offset * 2 == index):
11 offset *= 2
12 result[index] = result[index - offset] + 1
13 return result