A quick correction: I am not skipping the 3rd items. After sorting, I skip all the items from the 3rd position to the 4th last position. For example, with sorted content [x0, x1, x2, x3, x4, x5, x6, x7], I ignored x2, x3, and x4.

]]>1. For [-1, -2, -3, -4, 1, 2], [1, 3] is NOT holding the global minimum average.

2. My whole article is trying to prove that MA exists in 2- or 3-item slice. Please read before posting.

3. Please double read the problem description: If there is more than one slice with a minimal average, you should return the smallest starting position of such a slice.

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import java.util.*; class Solution { public int solution(int[] A) { if(A.length==1) return 0; ArrayList<Integer> al=new ArrayList<Integer>(); for(int i=1;i<A.length-1;i++) { if(A[i]>A[i-1] && A[i]>A[i+1]) { al.add(i); } } int s=al.size(); if(s==1) return 1; if(s==0)return 0; s=(int) Math.ceil(Math.sqrt(A.length)); while(s>=0) { int lp=al.get(0); int c=1; for(int i=1;i<al.size();i++) { int d=Math.abs(al.get(i)-lp); if(d>=s) { lp=al.get(i); c++; if(c==s) return c; } } s--;} return 0;} } |

May I share my python solution? Got 100% in O(N). Any thoughts?

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def solution(A): size = len(A) // 2 counter = dict() for i in xrange(len(A)): n = A[i] counter.setdefault(n, [i, 0]) counter[n][1] += 1 if counter[n][1] > size: return counter[n][0] return -1 |

On LeetCode, there is one tag called Two Pointer; is the idea of two pointer the same as caterpillar method?

Thanks.

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