This code is a C++ implementation of an algorithm to...
This code is a C++ implementation of an algorithm to rotate an array nums
to the right by k
steps. However, there is a syntax error in the code, which will prevent it from compiling, specifically in this line:
if(nums.size()=1){
This line attempts to assign 1
to nums.size()
, which is invalid because nums.size()
is a function call. The correct statement should likely be:
if(nums.size() == 1){
With this corrected, here's an explanation of what the code does:
Functionality:
The general purpose of this function is to rotate the elements of the array nums
to the right by k
steps. A rightward rotation means that elements are shifted to the right, and the elements at the end wrap around to the beginning.
For instance:
- If
nums = [1, 2, 3, 4, 5, 6, 7]
andk = 3
, after rotation,nums
becomes[5, 6, 7, 1, 2, 3, 4]
.
Steps in the Code:
-
Base case check:
if(nums.size() == 1){ return; }
If the input array
nums
has only one element, no rotation is needed, so the function returns. -
Reverse the entire array:
int i = 0; int j = nums.size() - 1; while(i < j){ swap(nums[i], nums[j]); i++; j--; }
The entire array is reversed. For example, if
nums = [1, 2, 3, 4, 5, 6, 7]
, after this step:nums = [7, 6, 5, 4, 3, 2, 1]
-
Reverse the first part of the array (first
k
elements):int s = 0; int e = k - 1; while(s <= e){ swap(nums[s], nums[e]); s++; e--; }
The first
k
elements are reversed. After this step (ifk = 3
), the array becomes:nums = [5, 6, 7, 4, 3, 2, 1]
-
Reverse the second part of the array (remaining elements):
int p = k; int t = nums.size() - 1; while(p <= t){ swap(nums[p], nums[t]); p++; t--; }
The remaining elements (from index
k
to the end) are reversed. After this step, the array becomes:nums = [5, 6, 7, 1, 2, 3, 4]
Key Idea:
This approach uses the reverse method for rotating the array. The steps involve:
- Reversing the entire array.
- Reversing the first
k
elements. - Reversing the rest of the elements.
This is a common and efficient algorithm for array rotation, with a time complexity of O(n) and space complexity of O(1).
Issues in the Code:
In addition to the typo mentioned earlier, there is a potential bug when k
is larger than the size of the array (nums.size()
). In such a case, the effective number of rotations should be k % nums.size()
because rotating an array by its length results in the same array. To fix this, you would need to include:
k = k % nums.size();
at the beginning of the function.