Task description
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:
For example, consider array A such that:
A[0] = 0 A[1] = 1 A[2] = 0 A[3] = 1 A[4] = 1We have five pairs of passing cars: (0, 1), (0, 3), (0, 4), (2, 3), (2, 4).
Write a function:
The function should return −1 if the number of pairs 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] = 1the function should return 5, as explained above.
Assume that:
Array A contains only 0s and/or 1s:
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.
- 0 represents a car traveling east,
- 1 represents a car traveling west.
For example, consider array A such that:
A[0] = 0 A[1] = 1 A[2] = 0 A[3] = 1 A[4] = 1We have five pairs of passing cars: (0, 1), (0, 3), (0, 4), (2, 3), (2, 4).
Write a function:
that, given a non-empty zero-indexed array A of N integers, returns the number of pairs of passing cars.class Solution { public int solution(int[] A); }
The function should return −1 if the number of pairs 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] = 1the function should return 5, as explained above.
Assume that:
Complexity:
- 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.
Elements of input arrays can be modified.
- 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).
O(N*2) Solution
------------------------------------------------
class Solution {
public int solution(int[] A) {
// write your code in Java SE 8
int len=A.length;
long count=0;
for(int i=0;i<len;i++){
if(A[i]==0){
for(int j=i;j<len;j++){
if(A[j]!=0){
count++;
}
}
}
}
if(count>1000000000){ count=-1;}
return (int) count;
}
}
Improve the performance wherein O(N) solution is possible.
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