You are given an array arr
of positive integers. You are also given the array queries
where queries[i] = [lefti, righti]
.
For each query i
compute the XOR of elements from lefti
to righti
(that is, arr[lefti] XOR arr[lefti + 1] XOR ... XOR arr[righti]
).
Return an array answer
where answer[i]
is the answer to the ith
query.
Example 1:
Input: arr = [1,3,4,8], queries = [[0,1],[1,2],[0,3],[3,3]] Output: [2,7,14,8] Explanation: The binary representation of the elements in the array are: 1 = 0001 3 = 0011 4 = 0100 8 = 1000 The XOR values for queries are: [0,1] = 1 xor 3 = 2 [1,2] = 3 xor 4 = 7 [0,3] = 1 xor 3 xor 4 xor 8 = 14 [3,3] = 8
Example 2:
Input: arr = [4,8,2,10], queries = [[2,3],[1,3],[0,0],[0,3]] Output: [8,0,4,4]
The task is to compute the XOR of elements in a given array `arr` for specific ranges specified in the `queries` array. Each query in `queries` defines a subarray in `arr` using a starting index (`lefti`) and an ending index (`righti`), and we need to compute the XOR of all elements within this range for each query.
- A variable `sum` is initialized to 0 for computing the XOR value for each query. A vector `ans` is created to store the results of all queries.
- The outer loop iterates over the array `qrr`, which contains all the queries. For each query, the start (`qrr[j][0]`) and end (`qrr[j][1]`) indices of the range are used to extract the relevant portion of `arr`.
- For the current query, the inner loop iterates through the elements of `arr` from the start to the end indices specified in the query. During this iteration:
- The XOR operation is applied to each element in the range using `sum ^= arr[i]`.
- This operation cumulatively calculates the XOR of all elements in the specified range.
- After completing the XOR computation for a query, the value of `sum` is added to the result vector `ans` using `ans.push_back(sum)`.
- After processing all queries, the function returns the `ans` vector containing the XOR values for each query.
Example Walkthrough:
- Input: `arr = [1,3,4,8]`, `queries = [[0,1],[1,2],[0,3],[3,3]]`
- Query [0,1]: Range: `arr[0] XOR arr[1] = 1 XOR 3 = 2`. Result: `2`
- Query [1,2]: Range: `arr[1] XOR arr[2] = 3 XOR 4 = 7`. Result: `7`
- Query [0,3]: Range: `arr[0] XOR arr[1] XOR arr[2] XOR arr[3] = 1 XOR 3 XOR 4 XOR 8 = 14`. Result: `14`
- Query [3,3]: Range: `arr[3] = 8`. Result: `8`
- Final Output: `[2, 7, 14, 8]`
- Input: `arr = [4,8,2,10]`, `queries = [[2,3],[1,3],[0,0],[0,3]]`
- Query [2,3]: XOR of `arr[2]` and `arr[3]` = `2 XOR 10 = 8`
- Query [1,3]: XOR of `arr[1] XOR arr[2] XOR arr[3] = 8 XOR 2 XOR 10 = 0`
- Query [0,0]: Single element `arr[0] = 4`
- Query [0,3]: XOR of the entire array = `4 XOR 8 XOR 2 XOR 10 = 4`
- Final Output: `[8, 0, 4, 4]`
The solution uses two nested loops: the outer loop iterates over the queries, and the inner loop iterates over the range defined by each query. This results in a time complexity of O(n * m), where `n` is the number of queries and `m` is the average range length. The solution uses additional space for the result vector `ans`, making it O(n).
CODE:
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