import math
import random
from model.base_model import Model

class MyModel(Model):
    def __init__(self, coords):
        super().__init__(coords)
        """
        Put your initialization here.
        """
        self.log("Nothing to initialize in your model now")

    def fit(self, max_it=1000, visualize=False):
        """
        Put your iteration process here.
        """
        self.log("Nothing happens in your model now")

        return self.best_solution, self.fitness_list