Problem:
Score : 400 points

Problem Statement

Takahashi has N sticks that are distinguishable from each other. The length of the i-th stick is L_i.

He is going to form a triangle using three of these sticks. Let a, b, and c be the lengths of the three sticks used. Here, all of the following conditions must be satisfied:

a < b + c

b < c + a

c < a + b

How many different triangles can be formed? Two triangles are considered different when there is a stick used in only one of them.

Constraints

All values in input are integers.

3 \leq N \leq 2 \times 10^3

1 \leq L_i \leq 10^3

Input

Input is given from Standard Input in the following format:

N
L_1 L_2 ... L_N

Constraints

Print the number of different triangles that can be formed.

Sample Input 1

4
3 4 2 1

Sample Output 1

1

Only one triangle can be formed: the triangle formed by the first, second, and third sticks.

Sample Input 2

3
1 1000 1

Sample Output 2

0

No triangles can be formed.

Sample Input 3

7
218 786 704 233 645 728 389

Sample Output 3

23

Solution in Python (3.4.3) (judge verdict: Time Limit Exceeded)

import bisect
N = int(input())
Ln = list(map(int,input().split(' ')))
Ln.sort(reverse=True)

count = 0

def binary_area_search(target_list: list, target_item: int) -> int:
    '''
    @params
    target_list: [1,3,5](ACC)
    target_item: 2

    @return
    return index
    '''
    low = 0
    high = len(target_list) - 1
    while low <= high:
        mid = (low + high) //2
        guess = target_list[mid]
        if guess > target_item:
            if mid == 0:
                return 0
            if target_item > target_list[mid-1]:
                return mid 
            high = mid -1
        else:
            if mid == len(target_list) - 1:
                return None
            if target_list[mid+1] > target_item:
                return mid + 1 
            low = mid + 1
    return None


def binary_area_search(target_list: list, target_item: int) -> int:
    '''
    @params
    target_list: [5,3,1](DESC)
    target_item: 2

    @return
    return index
    '''
    low = 0
    high = len(target_list) - 1

    while low <= high:
        mid = (low + high) //2
        guess = target_list[mid]
        if guess > target_item:
            if mid == 0:
                return 0
            if target_item > target_list[mid-1]:
                return mid 
            high = mid -1
        else:
            if mid == high:
                return None
            if target_list[mid+1] > target_item:
                return mid + 1 
            low = mid + 1
    return None



for a in range(N):
    a_l = Ln[a]
    '''
    N^2*logN
    '''
    for b in range(a+1, N):
        b_l = Ln[b]
        c_threshold = a_l - b_l
        c_list = Ln[b+1:N]
        c_list.reverse()
        c_idx = bisect.bisect_right(c_list,c_threshold)
        #c_idx = binary_area_search(c_list,c_threshold)
        if c_idx is not None:
            count += len(c_list) - c_idx
    '''
    N^2
    '''
    '''
    current_min = N-1
    b = a +1
    while b <= current_min:
        c_idx = current_min
        bc = Ln[b] + Ln[c_idx]
        if a_l < bc:
            count += (current_min - b)
            b += 1
            continue
        current_min -= 1
    '''
print(count)