from random import random as r
from math import exp
N = 10
_sigma = 3
inp = tuple([tuple([r(), r()]) for i in range(0, N)])

print(inp)

_map = [  [r(), r()] for i in range(0, N*N) ]

print(_map)

def e_sort(val):
    return val[0]

def e_dist(_m, _i):
    _d0 = _m[0] - _i[0]
    _d1 = _m[1] - _i[1]
    return _d0 * _d0 + _d1 * _d1

for _i in inp:

    dst = []

    for _m in  _map:

        _d0 = _m[0] - _i[0]
        _d1 = _m[1] - _i[1]
        dst.append(tuple([e_dist(_m, _i), _m]))

    dst.sort(key=e_sort)
    ds, ne = dst[0]

    for _m in _map:

        _d = exp(-1 * e_dist(_m, ne) / (2 * _sigma))
        print("neighbours", ne, _m, _d)

    print(_i, ds, ne)