You are given an integer n and an integer start.
Define an array nums where nums[i] = start + 2 * i (0-indexed) and n == nums.length.
Return the bitwise XOR of all elements of nums.
Example 1:
Input: n = 5, start = 0 Output: 8 Explanation: Array nums is equal to [0, 2, 4, 6, 8] where (0 ^ 2 ^ 4 ^ 6 ^ 8) = 8. Where "^ " corresponds to bitwise XOR operator.
Example 2:
Input: n = 4, start = 3 Output: 8 Explanation: Array nums is equal to [3, 5, 7, 9] where (3 ^ 5 ^ 7 ^ 9) = 8.
Constraints:
1 <= n <= 10000 <= start <= 1000n == nums.lengthprogram main
implicit none
integer :: n, start, i
integer, dimension(n) :: nums
do i = 1, n
nums(i) = start + 2 * (i - 1)
end do
print '(I0)', sum(nums)
end program main
temp.f95:5:33:
5 | integer, dimension(n) :: nums
| 1
Error: Explicit shaped array with nonconstant bounds at (1)
temp.f95:8:8:
8 | nums(i) = start + 2 * (i - 1)
| 1
Error: Function βnumsβ at (1) has no IMPLICIT type
temp.f95:8:12:
8 | nums(i) = start + 2 * (i - 1)
| 1
Error: Symbol βnumsβ at (1) has no IMPLICIT type
program xor_operation
implicit none
integer :: n, start, i, nums(n)
read(*,*) n
read(*,*) start
do i = 1, n
nums(i) = start + 2 * i
end do
do i = 1, n - 1
nums(i) = nums(i) ^ nums(i + 1)
end do
write(*,*) nums(1)
end program xor_operation
temp.f95:4:37:
4 | integer :: n, start, i, nums(n)
| 1
Error: Explicit shaped array with nonconstant bounds at (1)
temp.f95:14:13:
14 | nums(i) = nums(i) ^ nums(i + 1)
| 1
Error: βnumsβ at (1) is not a variable
temp.f95:9:10:
9 | do i = 1, n
| 1
Error: Symbol βiβ at (1) has no IMPLICIT type
temp.f95:6:17:
6 | read(*,*) n
| 1
Error: Symbol βnβ at (1) has no IMPLICIT type
temp.f95:7:21:
7 | read(*,*) start
| 1
Error: Symbol βstartβ at (1) has no IMPLICIT type
temp.f95:17:16:
17 | write(*,*) nums(1)
| 1
Error: Function βnumsβ at (1) has no IMPLICIT type
def findTheDistanceValue(arr1, arr2, d):
count = 0
for i in arr1:
valid = True
for j in arr2:
if abs(i - j) <= d:
valid = False
break
if valid:
count += 1
return count
The algorithm starts by initializing a variable count to store the number of elements obeying the given constraints. For every element arr1[i], iterate through every element arr2[j]. Check if |arr1[i] - arr2[j]| <= d. If this condition is true, the current element arr1[i] is not valid, so set valid to false and break out of the inner loop. If the entire inner loop is exhausted and all elements arr2[j] did not meet this condition, the current arr1[i] is valid and increments the count. Return the count at the end.
int findTheDistanceValue(vector<int>& arr1, vector<int>& arr2, int d) {
int count = 0;
for (int i = 0; i < arr1.size(); i++) {
bool valid = true;
for (int j = 0; j < arr2.size(); j++) {
if (abs(arr1[i] - arr2[j]) <= d) {
valid = false;
break;
}
}
if (valid) count++;
}
return count;
}
The algorithm starts by initializing a variable count to store the number of elements obeying the given constraints. For every element arr1[i], iterate through every element arr2[j]. Check if |arr1[i] - arr2[j]| <= d. If this condition is true, the current element arr1[i] is not valid, so set valid to false and break out of the inner loop. If the entire inner loop is exhausted and all elements arr2[j] did not meet this condition, the current arr1[i] is valid and increments the count. Return the count at the end.