text: import time
  import math
  import random
  import argparse
  import pickle
  import os
  from .client import Client
  
  
  class ClusterBot2(Client):
  
      def __init__(self, host, port, name):
          self.pre_calculate_clusters()
          super().__init__(host, port, name)
          self.cluster = self.load_clusters(self.num_stone)
          self.current_move = 0
          self.used_clusters = [0 for i in range(self.num_stone)]
  
      def reset(self):
          self.cluster = self.load_clusters(self.num_stone)
          self.current_move = 0
          self.used_clusters = [0 for i in range(self.num_stone)]
          self.grid = [[0] * self.grid_size for _ in range(self.grid_size)]
          self.moves = []
          print("everything cleared!")
  
      @staticmethod
      def load_clusters(num_stones):
          return pickle.load(open('./bot/cluster_bot_precomputed_{}.pkl'.format(num_stones), 'rb'))
  
      @staticmethod
      def pre_calculate_clusters():
          for k in range(1, 13):
              file_name = './bot/cluster_bot_precomputed_{}.pkl'.format(k)
              if os.path.exists(file_name):
                  continue
              clusters = ClusterBot2.compute_clusters(k)
              pickle.dump(clusters, open(file_name, 'wb'))
  
      @staticmethod
      def euclidean(point1, point2):
          distance = (point1[0] - point2[0]) * (point1[0] - point2[0])
          distance += (point1[1] - point2[1]) * (point1[1] - point2[1])
          return math.sqrt(distance)
  
      @staticmethod
      def compute_clusters(k):
          centroids = [[random.randint(0, 999), random.randint(0, 999)] for _ in range(k)]
          points = [[] for _ in range(k)]
          last = []
          total_time = 450 * k
          start_time = time.time()
          while last != centroids:
              if time.time() - start_time > total_time:
                  break
              last = centroids
              # reorganize
              for i in range(1000):
                  for j in range(1000):
                      index = -1
                      closest_dist = 2000
                      for l in range(k):
                          cur_dist = ClusterBot2.euclidean(centroids[l], [i, j])
                          if cur_dist < closest_dist:
                              closest_dist = cur_dist
                              index = l
                      points[index].append([i, j])
              new_clusters = [[0, 0] for _ in range(k)]
              for l in range(k):
                  for point in points[l]:
                      new_clusters[l][0] += point[0]
                      new_clusters[l][1] += point[1]
                  new_clusters[l][0] /= len(points[l])
                  new_clusters[l][1] /= len(points[l])
                  new_clusters[l][0] = int(new_clusters[l][0])
                  new_clusters[l][1] = int(new_clusters[l][1])
              centroids = new_clusters
          return centroids
  
      def get_next_move(self):
          radius = 1
          tries = 0
          while True:
              for i in range(self.num_stone):
                  if self.used_clusters[i] == 0:
                      move_row, move_col = self.cluster[i]
                      new_move_row = random.randint(max(0, move_row-radius),
                                                    min(self.grid_size - 1, move_row+radius))
                      new_move_col = random.randint(max(0, move_col-radius),
                                                    min(self.grid_size - 1, move_col+radius))
                      if self._Client__is_valid_move(new_move_row, new_move_col):
                          self.used_clusters[i] = 1
                          return new_move_row, new_move_col
  
              tries += 1
              if tries > 5:
                  radius *= 2
                  tries = 0
  
      def get_move(self):
          return self.get_next_move()
  
  
  if __name__ == "__main__":
      parser = argparse.ArgumentParser()
      parser.add_argument('--ip', default='127.0.0.1', type=str)
      parser.add_argument('--port', default=8000, type=int)
      parser.add_argument('--name', default='chirag-ojas', type=str)
      args = parser.parse_args()
  
      client = ClusterBot2(args.ip, args.port, args.name)
      client.start()
      print("Game over! Winner: {}".format(client.winner))
  