Given an array arr consisting of N elements and Q queries of the following two types:
- 1 K: For this type of query, the array needs to be rotated by K indices anticlockwise from its current state.
- 2 L R: For this query, the sum of the array elements present in the indices [L, R] needs to be calculated.
Example:
Input: arr = { 1, 2, 3, 4, 5, 6 }, query = { {2, 1, 3}, {1, 3}, {2, 0, 3}, {1, 4}, {2, 3, 5} }
Output:
9
16
12
Explanation:
For the 1st query {2, 1, 3} -> Sum of the elements in the indices [1, 3] = 2 + 3 + 4 = 9.
For the 2nd query {1, 3} -> Modified array after anti-clockwise rotation by 3 places is { 4, 5, 6, 1, 2, 3 }
For the 3rd query {2, 0, 3} -> Sum of the elements in the indices [0, 3] = 4 + 5 + 6 + 1 = 16.
For the 4th query {1, 4} -> Modified array after anti-clockwise rotation by 4 places is { 2, 3, 4, 5, 6, 1 }
For the 5th query {2, 3, 5} -> Sum of the elements in the indices [3, 5] = 5 + 6 + 1 = 12.
Approach:
- Create a prefix array which is double the size of the arr and copy the element at the ith index of arr to ith and N + ith index of prefix for all i in [0, N).
- Precompute the prefix sum for every index of that array and store in prefix.
- Set the pointer start at 0 to denote the starting index of the initial array.
- For query of type 1, shift start to
((start + K) % N)th position
- For query of type 2, calculate
prefix[start + R]
- prefix[start + L- 1 ]
- if start + L >= 1 ,then print the value of
prefix[start + R]
Below code is the implementation of the above approach:
Python3
def rotatedSumQuery(arr, n, query, Q):
prefix = [ 0 ] * ( 2 * n)
for i in range (n):
prefix[i] = arr[i]
prefix[i + n] = arr[i]
for i in range ( 1 , 2 * n):
prefix[i] + = prefix[i - 1 ];
start = 0 ;
for q in range (Q):
if (query[q][ 0 ] = = 1 ):
k = query[q][ 1 ]
start = (start + k) % n;
elif (query[q][ 0 ] = = 2 ):
L = query[q][ 1 ]
R = query[q][ 2 ]
if (start + L = = 0 ):
print (prefix[start + R])
else :
print (prefix[start + R] -
prefix[start + L - 1 ])
arr = [ 1 , 2 , 3 , 4 , 5 , 6 ];
Q = 5
query = [ [ 2 , 1 , 3 ],
[ 1 , 3 ],
[ 2 , 0 , 3 ],
[ 1 , 4 ],
[ 2 , 3 , 5 ] ]
n = len (arr);
rotatedSumQuery(arr, n, query, Q);
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Time Complexity: O(Q), where Q is the number of queries, and as each query will cost O (1) time for Q queries time complexity would be O(Q).
Auxiliary Space: O(N), as we are using extra space for prefix.
Please refer complete article on Range sum queries for anticlockwise rotations of Array by K indices for more details!