Given X and Y coordinates of N points on a Cartesian plane. The task is to find the number of possible triangles with the non-zero area that can be formed by joining each point to every other point.

**Examples:**

Input: P[] = {{0, 0}, {2, 0}, {1, 1}, {2, 2}}Output: 3 Possible triangles can be [(0, 0}, (2, 0), (1, 1)], [(0, 0), (2, 0), (2, 2)] and [(1, 1), (2, 2), (2, 0)]Input: P[] = {{0, 0}, {2, 0}, {1, 1}}Output: 1

A **Naive approach** has been already discussed in Number of possible Triangles in a Cartesian coordinate system

**Efficient Approach**: Consider a point Z and find its slope with every other point. Now, if two points are having the same slope with point Z that means the 3 points are collinear and they cannot form a triangle. Hence, the number of triangles having Z as one of its points is the number of ways of choosing 2 points from the remaining points and then subtracting the number of ways of choosing 2 points from points having the same slope with Z. Since Z can be any point among N points, we have to iterate one more loop.

Below is the implementation of above approach:

## C++

`// C++ implementation of the above approach ` `#include <bits/stdc++.h> ` `using` `namespace` `std; ` ` ` `// This function returns the required number ` `// of triangles ` `int` `countTriangles(pair<` `int` `, ` `int` `> P[], ` `int` `N) ` `{ ` ` ` `// Hash Map to store the frequency of ` ` ` `// slope corresponding to a point (X, Y) ` ` ` `map<pair<` `int` `, ` `int` `>, ` `int` `> mp; ` ` ` `int` `ans = 0; ` ` ` ` ` `// Iterate over all possible points ` ` ` `for` `(` `int` `i = 0; i < N; i++) { ` ` ` `mp.clear(); ` ` ` ` ` `// Calculate slope of all elements ` ` ` `// with current element ` ` ` `for` `(` `int` `j = i + 1; j < N; j++) { ` ` ` `int` `X = P[i].first - P[j].first; ` ` ` `int` `Y = P[i].second - P[j].second; ` ` ` ` ` `// find the slope with reduced ` ` ` `// fraction ` ` ` `int` `g = __gcd(X, Y); ` ` ` `X /= g; ` ` ` `Y /= g; ` ` ` `mp[{ X, Y }]++; ` ` ` `} ` ` ` `int` `num = N - (i + 1); ` ` ` ` ` `// Total number of ways to form a triangle ` ` ` `// having one point as current element ` ` ` `ans += (num * (num - 1)) / 2; ` ` ` ` ` `// Subtracting the total number of ways to ` ` ` `// form a triangle having the same slope or are ` ` ` `// collinear ` ` ` `for` `(` `auto` `j : mp) ` ` ` `ans -= (j.second * (j.second - 1)) / 2; ` ` ` `} ` ` ` `return` `ans; ` `} ` ` ` `// Driver Code to test above function ` `int` `main() ` `{ ` ` ` `pair<` `int` `, ` `int` `> P[] = { { 0, 0 }, { 2, 0 }, { 1, 1 }, { 2, 2 } }; ` ` ` `int` `N = ` `sizeof` `(P) / ` `sizeof` `(P[0]); ` ` ` `cout << countTriangles(P, N) << endl; ` ` ` `return` `0; ` `} ` |

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## Python3

`# Python3 implementation of the above approach ` `from` `collections ` `import` `defaultdict ` `from` `math ` `import` `gcd ` ` ` `# This function returns the ` `# required number of triangles ` `def` `countTriangles(P, N): ` ` ` ` ` `# Hash Map to store the frequency of ` ` ` `# slope corresponding to a point (X, Y) ` ` ` `mp ` `=` `defaultdict(` `lambda` `:` `0` `) ` ` ` `ans ` `=` `0` ` ` ` ` `# Iterate over all possible points ` ` ` `for` `i ` `in` `range` `(` `0` `, N): ` ` ` `mp.clear() ` ` ` ` ` `# Calculate slope of all elements ` ` ` `# with current element ` ` ` `for` `j ` `in` `range` `(i ` `+` `1` `, N): ` ` ` `X ` `=` `P[i][` `0` `] ` `-` `P[j][` `0` `] ` ` ` `Y ` `=` `P[i][` `1` `] ` `-` `P[j][` `1` `] ` ` ` ` ` `# find the slope with reduced ` ` ` `# fraction ` ` ` `g ` `=` `gcd(X, Y) ` ` ` `X ` `/` `/` `=` `g ` ` ` `Y ` `/` `/` `=` `g ` ` ` `mp[(X, Y)] ` `+` `=` `1` ` ` ` ` `num ` `=` `N ` `-` `(i ` `+` `1` `) ` ` ` ` ` `# Total number of ways to form a triangle ` ` ` `# having one point as current element ` ` ` `ans ` `+` `=` `(num ` `*` `(num ` `-` `1` `)) ` `/` `/` `2` ` ` ` ` `# Subtracting the total number of ` ` ` `# ways to form a triangle having ` ` ` `# the same slope or are collinear ` ` ` `for` `j ` `in` `mp: ` ` ` `ans ` `-` `=` `(mp[j] ` `*` `(mp[j] ` `-` `1` `)) ` `/` `/` `2` ` ` ` ` `return` `ans ` ` ` `# Driver Code ` `if` `__name__ ` `=` `=` `"__main__"` `: ` ` ` ` ` `P ` `=` `[[` `0` `, ` `0` `], [` `2` `, ` `0` `], [` `1` `, ` `1` `], [` `2` `, ` `2` `]] ` ` ` `N ` `=` `len` `(P) ` ` ` `print` `(countTriangles(P, N)) ` ` ` `# This code is contributed by Rituraj Jain ` |

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**Output:**

3

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