maxhully

from collections import defaultdict
import random
import networkx
import pandas

def propose_any_node_flip(partition):
    node = random.choice(tuple(partition.assignment.keys()))
    part = random.choice(tuple(partition.parts.keys()))
    return partition.flip({ node: part })
    

maxhully

import numpy as np
import geopandas


def quadratic_distance(x, y):
    return np.sum(np.square(np.array(x) - np.array(y)))


def distance_matrix(points):
    N = len(points)