text: import math
  
  from GenericSearch import ASS, BFS, DFS, GRS, IDS, Search, SearchProblem, UCS
  from MissionImpossible.MINode import MINode
  from MissionImpossible.MIState import MIState
  
  
  class MissionImpossible(Search):
      def __init__(self, grid, strategy, visualize):
          self.map = self.Map(grid)
          if visualize:
              print(self.map)
  
          initial_node = MINode(MIState(self.map.ethan, 0, self.map.imf_agents))
  
          qing_func, heuristic = self.qing_func(strategy)
  
          problem = SearchProblem(self.operators(), initial_node, self.goal_test, self.path_cost, heuristic)
          super().__init__(problem, qing_func)
  
      def search(self):
          try:
              solution, expanded_nodes_count = super(MissionImpossible, self).search()
  
              if solution:
                  print(solution)
                  return f'{solution.get_all_operators()};'\
                         f'{solution.remaining_imf.deaths};'\
                         f'{",".join([str(imf) for imf in solution.remaining_imf])};'\
                         f'{expanded_nodes_count}'
          except TypeError:
              return 'No Solution found'
  
      def qing_func(self, strategy):
          qing_funcs = {'BF': BFS, 'DF': DFS, 'UC': UCS, 'ID': IDS, 'GR1': GRS, 'GR2': GRS, 'AS1': ASS, 'AS2': ASS}
          qing_func = qing_funcs.get(strategy, None)
  
          heuristic = self.heuristic1 if '1' in strategy else self.heuristic2 if '2' in strategy else None
  
          return qing_func.queue, heuristic
  
      @staticmethod
      def goal_test(node):
          return node.operator == 'drop' and len(node.remaining_imf) == 0
  
      @staticmethod
      def path_cost(node):
          damage = node.remaining_imf.damage(2)
          if node.operator not in ['drop', 'carry']:
              node.path_cost += damage + 1
  
      @staticmethod
      def distance_from_sub(ethan: tuple, sub: tuple):
          return math.sqrt((ethan[0] - sub[0]) ** 2 + (ethan[1] - sub[1]) ** 2)
  
      def heuristic1(self, node):
          node.heuristic = len(node.remaining_imf) + self.distance_from_sub(node.position, self.map.sub)
  
      def heuristic2(self, node):
          for imf in node.remaining_imf:
              if imf.hp == 100 and imf.not_safe:
                  node.heuristic += 10000
          # node.heuristic = len(node.remaining_imf)
          node.heuristic += self.distance_from_sub(node.position, self.map.sub)
  
      def operators(self):
          def up(node):
              new_pos = (node.position[0] - 1, node.position[1])
              if 0 <= new_pos[0] < self.map.width and 0 <= new_pos[1] < self.map.height:
                  return MINode(MIState(new_pos, node.carrying, node.remaining_imf.clone()), node, 'up', node.depth + 1,
                                node.path_cost)
  
          def down(node):
              new_pos = (node.position[0] + 1, node.position[1])
              if 0 <= new_pos[0] < self.map.width and 0 <= new_pos[1] < self.map.height:
                  return MINode(MIState(new_pos, node.carrying, node.remaining_imf.clone()), node, 'down', node.depth + 1,
                                node.path_cost)
  
          def left(node):
              new_pos = (node.position[0], node.position[1] - 1)
              if 0 <= new_pos[0] < self.map.width and 0 <= new_pos[1] < self.map.height:
                  return MINode(MIState(new_pos, node.carrying, node.remaining_imf.clone()), node, 'left', node.depth + 1,
                                node.path_cost)
  
          def right(node):
              new_pos = (node.position[0], node.position[1] + 1)
              if 0 <= new_pos[0] < self.map.width and 0 <= new_pos[1] < self.map.height:
                  return MINode(MIState(new_pos, node.carrying, node.remaining_imf.clone()), node, 'right',
                                node.depth + 1, node.path_cost)
  
          def carry(node):
              if self.map.get(
                      node.position) == 'f' and node.carrying < self.map.carry_capacity and node.position in node.remaining_imf:
                  remaining_imf = node.remaining_imf.clone()
                  remaining_imf.remove(node.position)
                  return MINode(MIState(node.position, node.carrying + 1, remaining_imf), node, 'carry', node.depth + 1,
                                node.path_cost)
  
          def drop(node):
              if self.map.get(node.position) == 's' and node.carrying != 0:
                  return MINode(MIState(node.position, 0, node.remaining_imf.clone()), node, 'drop', node.depth + 1,
                                node.path_cost)
  
          return [drop, carry, up, left, down, right]
  
      class Map:
          def __init__(self, grid):
              self.grid = grid
              grid_elements = grid.split(';')
  
              self.width, self.height = self._int_split(grid_elements[0])
              self.map = [['-' for _ in range(self.height)] for _ in range(self.width)]
  
              self.ethan = self._int_split(grid_elements[1])
              self.set(self.ethan, 'e')
  
              self.sub = self._int_split(grid_elements[2])
              self.set(self.sub, 's')
  
              imfs = self._int_split(grid_elements[3])
              imfs_hp = self._int_split(grid_elements[4])
  
              self.imf_agents = self.IMFAgentList(
                  [self.IMFAgent((imfs[(j := 2 * i)], imfs[j + 1]), hp) for i, hp in enumerate(imfs_hp)])
              for imf in self.imf_agents:
                  self.set(imf.position, 'f')
  
              self.carry_capacity = int(grid_elements[5])
  
          @staticmethod
          def _int_split(string):
              return tuple([int(element) for element in string.split(',')])
  
          def __str__(self):
              return f'{self.grid}\n' + '\n'.join([' '.join(row) for row in self.map])
  
          def get(self, item):
              return self.map[item[0]][item[1]]
  
          def set(self, key, value):
              self.map[key[0]][key[1]] = value
  
          class IMFAgent:
              def __init__(self, position, hp, state='hurt'):
                  self.position = position
                  self.hp = hp
                  self.state = state
  
              def __eq__(self, other):
                  return self.position == other
  
              def __str__(self):
                  return f'{self.hp}{self.position}'
  
              def __hash__(self):
                  return hash(self.position)
  
              def clone(self):
                  return self.__class__((self.position[0], self.position[1]), self.hp, self.state)
  
              def damage(self, damage_amount):
                  if self.hp < 100:
                      self.hp += damage_amount
                      if self.hp > 100:
                          self.hp = 100
                  return damage_amount
  
              def save(self):
                  self.state = 'safe'
                  return self
  
              def not_safe(self):
                  return self.state == 'hurt'
  
          class IMFAgentList:
              def __init__(self, imfs):
                  self.imfs = imfs
  
              def __str__(self):
                  return f"[{', '.join([str(imf) for imf in self.imfs if imf.not_safe()])}]"
  
              def __len__(self):
                  return len([imf for imf in self.imfs if imf.not_safe()])
  
              def __contains__(self, item):
                  if item in self.imfs:
                      return self.imfs[self.imfs.index(item)].not_safe()
  
              def __hash__(self):
                  total = 0
                  for imf in self.imfs:
                      if imf.not_safe():
                          total += hash(imf)
                  return total
  
              def __getitem__(self, item):
                  return self.imfs[item]
  
              def clone(self):
                  return self.__class__([imf.clone() for imf in self.imfs])
  
              def remove(self, imf_coord):
                  self.imfs[self.imfs.index(imf_coord)].save()
  
              @property
              def deaths(self):
                  deaths = 0
                  for imf in self.imfs:
                      if imf.hp == 100:
                          deaths += 1
                  return deaths
  
              def damage(self, damage_amount):
                  total_damage = 0
                  for imf in self.imfs:
                      if imf.not_safe():
                          total_damage += imf.damage(damage_amount)
                  return total_damage
  