Powers of two
Simple problem that requires breaking down a number into powers of two. There is a simple algorithm for that, running in LogN. Overall complexity for this problem then becomes NLogN. Code is down below, cheers, ACC.
Range Product Queries of Powers - LeetCode
Given a positive integer n
, there exists a 0-indexed array called powers
, composed of the minimum number of powers of 2
that sum to n
. The array is sorted in non-decreasing order, and there is only one way to form the array.
You are also given a 0-indexed 2D integer array queries
, where queries[i] = [lefti, righti]
. Each queries[i]
represents a query where you have to find the product of all powers[j]
with lefti <= j <= righti
.
Return an array answers
, equal in length to queries
, where answers[i]
is the answer to the ith
query. Since the answer to the ith
query may be too large, each answers[i]
should be returned modulo 109 + 7
.
Example 1:
Input: n = 15, queries = [[0,1],[2,2],[0,3]] Output: [2,4,64] Explanation: For n = 15, powers = [1,2,4,8]. It can be shown that powers cannot be a smaller size. Answer to 1st query: powers[0] * powers[1] = 1 * 2 = 2. Answer to 2nd query: powers[2] = 4. Answer to 3rd query: powers[0] * powers[1] * powers[2] * powers[3] = 1 * 2 * 4 * 8 = 64. Each answer modulo 109 + 7 yields the same answer, so [2,4,64] is returned.
Example 2:
Input: n = 2, queries = [[0,0]] Output: [2] Explanation: For n = 2, powers = [2]. The answer to the only query is powers[0] = 2. The answer modulo 109 + 7 is the same, so [2] is returned.
Constraints:
1 <= n <= 109
1 <= queries.length <= 105
0 <= starti <= endi < powers.length
public int[] ProductQueries(int n, int[][] queries) { ListpowersList = new List (); while (n > 0) { int power = 1; while (power * 2 <= n) power *= 2; powersList.Add(power); n -= power; } long[] powerArr = new long[powersList.Count]; int index = powerArr.Length - 1; foreach (int p in powersList) powerArr[index--] = (long)p; int[] retVal = new int[queries.Length]; for (int i = 0; i < queries.Length; i++) { long product = 1; for (int j = queries[i][0]; j <= queries[i][1]; j++) product = (product * powerArr[j]) % (1000000000 + 7); retVal[i] = (int)product; } return retVal; }
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