{ "data": { "question": { "questionId": "3411", "questionFrontendId": "3145", "categoryTitle": "Algorithms", "boundTopicId": 2772487, "title": "Find Products of Elements of Big Array", "titleSlug": "find-products-of-elements-of-big-array", "content": "
The powerful array of a non-negative integer x
is defined as the shortest sorted array of powers of two that sum up to x
. The table below illustrates examples of how the powerful array is determined. It can be proven that the powerful array of x
is unique.
num | \n\t\t\tBinary Representation | \n\t\t\tpowerful array | \n\t\t
---|---|---|
1 | \n\t\t\t00001 | \n\t\t\t[1] | \n\t\t
8 | \n\t\t\t01000 | \n\t\t\t[8] | \n\t\t
10 | \n\t\t\t01010 | \n\t\t\t[2, 8] | \n\t\t
13 | \n\t\t\t01101 | \n\t\t\t[1, 4, 8] | \n\t\t
23 | \n\t\t\t10111 | \n\t\t\t[1, 2, 4, 16] | \n\t\t
The array big_nums
is created by concatenating the powerful arrays for every positive integer i
in ascending order: 1, 2, 3, and so on. Thus, big_nums
begins as [1, 2, 1, 2, 4, 1, 4, 2, 4, 1, 2, 4, 8, ...]
.
You are given a 2D integer matrix queries
, where for queries[i] = [fromi, toi, modi]
you should calculate (big_nums[fromi] * big_nums[fromi + 1] * ... * big_nums[toi]) % modi
.
Return an integer array answer
such that answer[i]
is the answer to the ith
query.
\n
Example 1:
\n\nInput: queries = [[1,3,7]]
\n\nOutput: [4]
\n\nExplanation:
\n\nThere is one query.
\n\nbig_nums[1..3] = [2,1,2]
. The product of them is 4. The result is 4 % 7 = 4.
Example 2:
\n\nInput: queries = [[2,5,3],[7,7,4]]
\n\nOutput: [2,2]
\n\nExplanation:
\n\nThere are two queries.
\n\nFirst query: big_nums[2..5] = [1,2,4,1]
. The product of them is 8. The result is 8 % 3 = 2
.
Second query: big_nums[7] = 2
. The result is 2 % 4 = 2
.
\n
Constraints:
\n\n1 <= queries.length <= 500
queries[i].length == 3
0 <= queries[i][0] <= queries[i][1] <= 1015
1 <= queries[i][2] <= 105
一个非负整数 x
的 强数组 指的是满足元素为 2 的幂且元素总和为 x
的最短有序数组。下表说明了如何确定 强数组 的示例。可以证明,x
对应的强数组是独一无二的。
数字 | \n\t\t\t二进制表示 | \n\t\t\t强数组 | \n\t\t
---|---|---|
1 | \n\t\t\t00001 | \n\t\t\t[1] | \n\t\t
8 | \n\t\t\t01000 | \n\t\t\t[8] | \n\t\t
10 | \n\t\t\t01010 | \n\t\t\t[2, 8] | \n\t\t
13 | \n\t\t\t01101 | \n\t\t\t[1, 4, 8] | \n\t\t
23 | \n\t\t\t10111 | \n\t\t\t[1, 2, 4, 16] | \n\t\t
\n\n
我们将每一个升序的正整数 i
(即1,2,3等等)的 强数组 连接得到数组 big_nums
,big_nums
开始部分为 [1, 2, 1, 2, 4, 1, 4, 2, 4, 1, 2, 4, 8, ...]
。
给你一个二维整数数组 queries
,其中 queries[i] = [fromi, toi, modi]
,你需要计算 (big_nums[fromi] * big_nums[fromi + 1] * ... * big_nums[toi]) % modi
。
请你返回一个整数数组 answer
,其中 answer[i]
是第 i
个查询的答案。
\n\n
示例 1:
\n\n输入:queries = [[1,3,7]]
\n\n输出:[4]
\n\n解释:
\n\n只有一个查询。
\n\nbig_nums[1..3] = [2,1,2]
。它们的乘积为 4。结果为 4 % 7 = 4
。
示例 2:
\n\n输入:queries = [[2,5,3],[7,7,4]]
\n\n输出:[2,2]
\n\n解释:
\n\n有两个查询。
\n\n第一个查询:big_nums[2..5] = [1,2,4,1]
。它们的乘积为 8 。结果为 8 % 3 = 2
。
第二个查询:big_nums[7] = 2
。结果为 2 % 4 = 2
。
\n\n
提示:
\n\n1 <= queries.length <= 500
queries[i].length == 3
0 <= queries[i][0] <= queries[i][1] <= 1015
1 <= queries[i][2] <= 105
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which is the total number of numbers in [1, n]
when the ith
bit is set in O(log(n))
time.",
"Use binary search to find the last number for each query (and there might be one “incomplete” number for the query).",
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