


import argparse
import copy






def 		_A		(		_lowercase )					-> List[str]:


     """simple docstring"""


     __UpperCamelCase =			{}

     with open(_lowercase ) as f:
          for line in f:
               if line.split()[0] not in dict_of_neighbours:
                    __UpperCamelCase =			[]
                    _list.append([line.split()[1], line.split()[2]] )
                    __UpperCamelCase =			_list
               else:
                    dict_of_neighbours[line.split()[0]].append(
                        [line.split()[1], line.split()[2]] )
               if line.split()[1] not in dict_of_neighbours:
                    __UpperCamelCase =			[]
                    _list.append([line.split()[0], line.split()[2]] )
                    __UpperCamelCase =			_list
               else:
                    dict_of_neighbours[line.split()[1]].append(
                        [line.split()[0], line.split()[2]] )

     return dict_of_neighbours






def 		_A		(		_lowercase					,  _lowercase )					-> Optional[int]:


     """simple docstring"""


     with open(_lowercase ) as f:
          __UpperCamelCase =			f.read(1 )
     __UpperCamelCase =			start_node

     __UpperCamelCase =			[]

     __UpperCamelCase =			start_node

     __UpperCamelCase =			0
     while visiting not in first_solution:
          __UpperCamelCase =			1_00_00
          for k in dict_of_neighbours[visiting]:
               if int(k[1] ) < int(_lowercase ) and k[0] not in first_solution:
                    __UpperCamelCase =			k[1]
                    __UpperCamelCase =			k[0]

          first_solution.append(_lowercase )
          __UpperCamelCase =			distance_of_first_solution + int(_lowercase )
          __UpperCamelCase =			best_node

     first_solution.append(_lowercase )

     __UpperCamelCase =			0
     for k in dict_of_neighbours[first_solution[-2]]:
          if k[0] == start_node:
               break
          position += 1

     __UpperCamelCase =			(
         distance_of_first_solution
         + int(dict_of_neighbours[first_solution[-2]][position][1] )
         - 1_00_00
     )
     return first_solution, distance_of_first_solution






def 		_A		(		_lowercase					,  _lowercase )					-> Optional[Any]:


     """simple docstring"""


     __UpperCamelCase =			[]

     for n in solution[1:-1]:
          __UpperCamelCase =			solution.index(_lowercase )
          for kn in solution[1:-1]:
               __UpperCamelCase =			solution.index(_lowercase )
               if n == kn:
                    continue

               __UpperCamelCase =			copy.deepcopy(_lowercase )
               __UpperCamelCase =			kn
               __UpperCamelCase =			n

               __UpperCamelCase =			0

               for k in _tmp[:-1]:
                    __UpperCamelCase =			_tmp[_tmp.index(_lowercase ) + 1]
                    for i in dict_of_neighbours[k]:
                         if i[0] == next_node:
                              __UpperCamelCase =			distance + int(i[1] )
               _tmp.append(_lowercase )

               if _tmp not in neighborhood_of_solution:
                    neighborhood_of_solution.append(_tmp )

     __UpperCamelCase =			len(neighborhood_of_solution[0] ) - 1

     neighborhood_of_solution.sort(key=lambda _lowercase : x[index_of_last_item_in_the_list] )
     return neighborhood_of_solution






def 		_A		(		_lowercase					,  _lowercase					,  _lowercase					,  _lowercase					,  _lowercase )					-> Tuple:


     """simple docstring"""


     __UpperCamelCase =			1
     __UpperCamelCase =			first_solution
     __UpperCamelCase =			[]
     __UpperCamelCase =			distance_of_first_solution
     __UpperCamelCase =			solution

     while count <= iters:
          __UpperCamelCase =			find_neighborhood(_lowercase					,  _lowercase )
          __UpperCamelCase =			0
          __UpperCamelCase =			neighborhood[index_of_best_solution]
          __UpperCamelCase =			len(_lowercase ) - 1

          __UpperCamelCase =			False
          while not found:
               __UpperCamelCase =			0
               while i < len(_lowercase ):
                    if best_solution[i] != solution[i]:
                         __UpperCamelCase =			best_solution[i]
                         __UpperCamelCase =			solution[i]
                         break
                    __UpperCamelCase =			i + 1

               if [first_exchange_node, second_exchange_node] not in tabu_list and [
                   second_exchange_node,
                   first_exchange_node,
               ] not in tabu_list:
                    tabu_list.append([first_exchange_node, second_exchange_node] )
                    __UpperCamelCase =			True
                    __UpperCamelCase =			best_solution[:-1]
                    __UpperCamelCase =			neighborhood[index_of_best_solution][best_cost_index]
                    if cost < best_cost:
                         __UpperCamelCase =			cost
                         __UpperCamelCase =			solution
               else:
                    __UpperCamelCase =			index_of_best_solution + 1
                    __UpperCamelCase =			neighborhood[index_of_best_solution]

          if len(_lowercase ) >= size:
               tabu_list.pop(0 )

          __UpperCamelCase =			count + 1

     return best_solution_ever, best_cost






def 		_A		(		_lowercase=None )					-> Tuple:


     """simple docstring"""


     __UpperCamelCase =			generate_neighbours(args.File )

     __UpperCamelCase,    __UpperCamelCase =			generate_first_solution(
         args.File					,  _lowercase )

     __UpperCamelCase,    __UpperCamelCase =			tabu_search(
         _lowercase					,  _lowercase					,  _lowercase					,  args.Iterations					,  args.Size					,  )

     print(f'''Best solution: {best_sol}, with total distance: {best_cost}.''' )


if __name__ == "__main__":
    __snake_case   							=						argparse.ArgumentParser(description='''Tabu Search''')
    parser.add_argument(
        '''-f''',
        '''--File''',
        type=str,
        help='''Path to the file containing the data''',
        required=True,
    )
    parser.add_argument(
        '''-i''',
        '''--Iterations''',
        type=int,
        help='''How many iterations the algorithm should perform''',
        required=True,
    )
    parser.add_argument(
        '''-s''', '''--Size''', type=int, help='''Size of the tabu list''', required=True
    )

    # Pass the arguments to main method
    main(parser.parse_args())






'''simple docstring'''

from __future__ import annotations

lowerCamelCase				:  List[str]    		=      []

def _SCREAMING_SNAKE_CASE (A    ,					A    ,					A			)			->			bool:






       """simple docstring"""







       for i in range(len(A			)			):
              if board[row][i] == 1:
                     return False
       for i in range(len(A			)			):
              if board[i][column] == 1:
                     return False
       for i, j in zip(range(A    ,					-1    ,					-1			)    ,					range(A    ,					-1    ,					-1			)			):
              if board[i][j] == 1:
                     return False
       for i, j in zip(range(A    ,					-1    ,					-1			)    ,					range(A    ,					len(A			)			)			):
              if board[i][j] == 1:
                     return False
       return True

def _SCREAMING_SNAKE_CASE (A    ,					A			)			->			bool:






       """simple docstring"""







       if row >= len(A			):
              solution.append(A			)
              printboard(A			)
              print()
              return True
       for i in range(len(A			)			):
              if is_safe(A    ,					A    ,					A			):
                     lowercase__      =					1
                     solve(A    ,					row + 1			)
                     lowercase__      =					0
       return False

def _SCREAMING_SNAKE_CASE (A			)			->			None:






       """simple docstring"""







       for i in range(len(A			)			):
              for j in range(len(A			)			):
                     if board[i][j] == 1:
                            print('''Q'''    ,					end=''' '''			)
                     else:
                            print('''.'''    ,					end=''' '''			)
              print()


# n=int(input("The no. of queens"))
lowerCamelCase				:  Optional[Any]    		=      8
lowerCamelCase				:  Optional[int]    		=      [[0 for i in range(n)] for j in range(n)]
solve(board, 0)

print('The total no. of solutions are :', len(solution))




