# from TaskTwoAI import *
# import matplotlib.pyplot as plt
# import pandas as pd
# import numpy as np
# import math
# import random
# import copy
# from random import randint
# #from scipy.spatial import distance

# centroidList=[]
# clusterList=[]

# def readcsvfile():
#     Restaurants.CSV_ReadFile(case_Db,"small")

# class Cluster:
#     #Kommer använda mig utav case_DB för att visa vilka x,y värden en cluster har
#     def __init__(self,x,y):
#         self.x=x
#         self.y=y
#     def Get_X(self):
#         return self.x
#     def Get_Y(self):
#         return self.y

#     def Set_X(self,x):
#         self.x=x
#     def Set_y(self,y):
#         self.y=y

# class Centroid:
#     def __init(self,k,x,y,centroid=None):
#         self.k=k
#         self.x=x
#         self.y=y
#         if centroid is None:
#             self.centroid=[]
#         else:
#             self.centroid=centroid
#     def get_X(self):
#         return self.x
#     def get_Y(self):
#         return self.y
#     def get_centroidList(self):
#         return  self.centroid



# def centroid_initialState(k):

#     print("random")







# def cluster_initialState():
#     readcsvfile()



#     #skriv ut dem på screenen, de som finns deras x och y.

# def k_means(k):
#     print("random3")

# def calculate_distance():
#     #kolla distance mellan clusters och centroids
#     print("random4")




# def main():

#     centroid_initialState(2)
# if __name__=='__main__':
#     main()
