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Colidity--PassingCars
1 // you can use includes, for example: 2 // #include <algorithm> 3 4 // you can write to stdout for debugging purposes, e.g. 5 // cout << "this is a debug message" << endl; 6 7 int solution(vector<int> &A) { 8 // write your code in C++11 9 int i = A.size()-1;10 int tmp = 0;11 int res = 0;12 while(i >= 0)13 {14 if(A[i] == 0)15 {16 res += tmp;17 }18 else19 {20 tmp++;21 }22 --i;23 }24 return res;25 }
思路:统计0后面的1的个数,利用后缀数组计算
A non-empty zero-indexed array A consisting of N integers is given. The consecutive elements of array A represent consecutive cars on a road.
Array A contains only 0s and/or 1s:
- 0 represents a car traveling east,
- 1 represents a car traveling west.
The goal is to count passing cars. We say that a pair of cars (P, Q), where 0 ≤ P < Q < N, is passing when P is traveling to the east and Q is traveling to the west.
For example, consider array A such that:
A[0] = 0 A[1] = 1 A[2] = 0 A[3] = 1 A[4] = 1
We have five pairs of passing cars: (0, 1), (0, 3), (0, 4), (2, 3), (2, 4).
Write a function:
int solution(vector<int> &A);
that, given a non-empty zero-indexed array A of N integers, returns the number of passing cars.
The function should return −1 if the number of passing cars exceeds 1,000,000,000.
For example, given:
A[0] = 0 A[1] = 1 A[2] = 0 A[3] = 1 A[4] = 1
the function should return 5, as explained above.
Assume that:
- N is an integer within the range [1..100,000];
- each element of array A is an integer that can have one of the following values: 0, 1.
Complexity:
- expected worst-case time complexity is O(N);
- expected worst-case space complexity is O(1), beyond input storage (not counting the storage required for input arguments).
Colidity--PassingCars