Problem:
Score : 300 points

Problem Statement

There are N balls in a two-dimensional plane. The i-th ball is at coordinates (x_i, y_i).

We will collect all of these balls, by choosing two integers p and q such that p \neq 0 or q \neq 0 and then repeating the following operation:

Choose a ball remaining in the plane and collect it. Let (a, b) be the coordinates of this ball. If we collected a ball at coordinates (a - p, b - q) in the previous operation, the cost of this operation is 0. Otherwise, including when this is the first time to do this operation, the cost of this operation is 1.

Find the minimum total cost required to collect all the balls when we optimally choose p and q.

Constraints

1 \leq N \leq 50

|x_i|, |y_i| \leq 10^9

If i \neq j, x_i \neq x_j or y_i \neq y_j.

All values in input are integers.

Input

Input is given from Standard Input in the following format:

N
x_1 y_1
:
x_N y_N

Output

Print the minimum total cost required to collect all the balls.

Sample Input 1

2
1 1
2 2

Sample Output 1

1

If we choose p = 1, q = 1, we can collect all the balls at a cost of 1 by collecting them in the order (1, 1), (2, 2).

Sample Input 2

3
1 4
4 6
7 8

Sample Output 2

1

If we choose p = -3, q = -2, we can collect all the balls at a cost of 1 by collecting them in the order (7, 8), (4, 6), (1, 4).

Sample Input 3

4
1 1
1 2
2 1
2 2

Sample Output 3

2

Solution in Python (3.4.3) (judge verdict: Wrong Answer)

# -*- coding: utf-8 -*-
import sys
import math
from bisect import bisect_left
from bisect import bisect_right
import collections
import copy
import heapq
from collections import defaultdict
from heapq import heappop, heappush
import random
input = sys.stdin.readline

##### リストの 二分木検索 #####
# bisect_left(lists, 3)
# bisect_right(lists, 3)

##### プライオリティキュー #####
# heapq.heapify(a) #リストaのheap化
# heapq.heappush(a,x) #heap化されたリストaに要素xを追加
# heapq.heappop(a) #heap化されたリストaから最小値を削除＆その最小値を出力

# heapq.heappush(a, -x) #最大値を取り出す時は、pushする時にマイナスにして入れよう
# heapq.heappop(a) * (-1) #取り出す時は、-1を掛けて取り出すこと

##### タプルリストのソート #####
# sorted(ans) #(a, b) -> 1st : aの昇順, 2nd : bの昇順
# sorted(SP, key=lambda x:(x[0],-x[1])) #(a, b) -> 1st : aの昇順, 2nd : bの降順
# sorted(SP, key=lambda x:(-x[0],x[1])) #(a, b) -> 1st : aの降順, 2nd : bの昇順
# sorted(SP, key=lambda x:(-x[0],-x[1])) #(a, b) -> 1st : aの降順, 2nd : bの降順

# sorted(SP, key=lambda x:(x[1])) #(a, b) -> 1st : bの昇順
# sorted(SP, key=lambda x:(-x[1])) #(a, b) -> 1st : bの降順

def main():

	N = int(input())
	#N, K = map(int, input().split(" "))

	xy = []
	for _ in range(N):
		x, y = map(int, input().split(" "))
		xy.append((x,y))

	gess = {}
	xm = 0
	ym = 0

	if N == 1:
		print(1)
		sys.exit()

	for i, val in enumerate(xy):
		if i == 0:
			x,y = val
			xm = x
			ym = y
			continue
		x, y = val

		p = x - xm
		q = y - ym
		if (p,q) in gess:
			gess[(p, q)] += 1
		else:
			gess[(p, q)] = 1
		xm = x
		ym = y

	p, q = max(gess, key=gess.get)
	nai = gess[(p,q)]

	#########
	xy = sorted(xy, key=lambda x:(x[0]))
	gess1 = {}
	xm = 0
	ym = 0

	for i, val in enumerate(xy):
		if i == 0:
			x,y = val
			xm = x
			ym = y
			continue
		x, y = val

		p = x - xm
		q = y - ym
		if (p,q) in gess1:
			gess1[(p, q)] += 1
		else:
			gess1[(p, q)] = 1
		xm = x
		ym = y

	p, q = max(gess1, key=gess1.get)
	nai1 = gess1[(p,q)]

	#########
	xy = sorted(xy, key=lambda x:(-x[0]))
	gess2 = {}
	xm = 0
	ym = 0

	for i, val in enumerate(xy):
		if i == 0:
			x,y = val
			xm = x
			ym = y
			continue
		x, y = val

		p = x - xm
		q = y - ym
		if (p,q) in gess2:
			gess2[(p, q)] += 1
		else:
			gess2[(p, q)] = 1
		xm = x
		ym = y

	p, q = max(gess2, key=gess2.get)
	nai2 = gess2[(p,q)]

	#########
	xy = sorted(xy, key=lambda x:(x[1]))
	gess3 = {}
	xm = 0
	ym = 0

	for i, val in enumerate(xy):
		if i == 0:
			x,y = val
			xm = x
			ym = y
			continue
		x, y = val

		p = x - xm
		q = y - ym
		if (p,q) in gess3:
			gess3[(p, q)] += 1
		else:
			gess3[(p, q)] = 1
		xm = x
		ym = y

	p, q = max(gess3, key=gess3.get)
	nai3 = gess3[(p,q)]

	#########
	xy = sorted(xy, key=lambda x:(-x[1]))
	gess4 = {}
	xm = 0
	ym = 0

	for i, val in enumerate(xy):
		if i == 0:
			x,y = val
			xm = x
			ym = y
			continue
		x, y = val

		p = x - xm
		q = y - ym
		if (p,q) in gess4:
			gess4[(p, q)] += 1
		else:
			gess4[(p, q)] = 1
		xm = x
		ym = y

	p, q = max(gess4, key=gess4.get)
	nai4 = gess4[(p,q)]

	#########
	xy = sorted(xy, key=lambda x:(x[0],-x[1]))
	gess5 = {}
	xm = 0
	ym = 0

	for i, val in enumerate(xy):
		if i == 0:
			x,y = val
			xm = x
			ym = y
			continue
		x, y = val

		p = x - xm
		q = y - ym
		if (p,q) in gess5:
			gess5[(p, q)] += 1
		else:
			gess5[(p, q)] = 1
		xm = x
		ym = y

	p, q = max(gess5, key=gess5.get)
	nai5 = gess5[(p,q)]

	#########
	random.shuffle(xy)
	gess6 = {}
	xm = 0
	ym = 0

	for i, val in enumerate(xy):
		if i == 0:
			x,y = val
			xm = x
			ym = y
			continue
		x, y = val

		p = x - xm
		q = y - ym
		if (p,q) in gess6:
			gess6[(p, q)] += 1
		else:
			gess6[(p, q)] = 1
		xm = x
		ym = y

	p, q = max(gess6, key=gess6.get)
	nai6 = gess6[(p,q)]

	#########
	random.shuffle(xy)
	gess7 = {}
	xm = 0
	ym = 0

	for i, val in enumerate(xy):
		if i == 0:
			x,y = val
			xm = x
			ym = y
			continue
		x, y = val

		p = x - xm
		q = y - ym
		if (p,q) in gess7:
			gess7[(p, q)] += 1
		else:
			gess7[(p, q)] = 1
		xm = x
		ym = y

	p, q = max(gess7, key=gess7.get)
	nai7 = gess7[(p,q)]
		#########
	xy = sorted(xy, key=lambda x:(x[1],x[0]))
	gess8 = {}
	xm = 0
	ym = 0

	for i, val in enumerate(xy):
		if i == 0:
			x,y = val
			xm = x
			ym = y
			continue
		x, y = val

		p = x - xm
		q = y - ym
		if (p,q) in gess8:
			gess8[(p, q)] += 1
		else:
			gess8[(p, q)] = 1
		xm = x
		ym = y

	p, q = max(gess8, key=gess8.get)
	nai8 = gess8[(p,q)]

		#########
	ans = -1

	for _ in range(10000):
		random.shuffle(xy)
		gess9 = {}
		xm = 0
		ym = 0
		for i, val in enumerate(xy):
			if i == 0:
				x,y = val
				xm = x
				ym = y
				continue
			x, y = val

			p = x - xm
			q = y - ym
			if (p,q) in gess9:
				gess9[(p, q)] += 1
			else:
				gess9[(p, q)] = 1
			xm = x
			ym = y

		p, q = max(gess9, key=gess9.get)
		nai9 = gess9[(p,q)]

		if nai9 > ans:
			ans = nai9

	tmp = max(nai, nai2, nai3,nai4, nai5,nai6,nai1,nai7,nai8,ans)

	print(N-tmp)



if __name__ == "__main__":
	main()