
'''simple docstring'''






import argparse
import copy







def 		A_							(						_lowerCAmelCase :     str				):



      """simple docstring"""




      _lowerCamelCase					: Optional[Any]		    = {}

      with open(_lowerCAmelCase				) as f:
            for line in f:
                  if line.split()[0] not in dict_of_neighbours:
                        _lowerCamelCase					: Dict		    = []
                        _list.append([line.split()[1], line.split()[2]]				)
                        _lowerCamelCase					: List[Any]		    = _list
                  else:
                        dict_of_neighbours[line.split()[0]].append(
                            [line.split()[1], line.split()[2]]				)
                  if line.split()[1] not in dict_of_neighbours:
                        _lowerCamelCase					: List[Any]		    = []
                        _list.append([line.split()[0], line.split()[2]]				)
                        _lowerCamelCase					: Dict		    = _list
                  else:
                        dict_of_neighbours[line.split()[1]].append(
                            [line.split()[0], line.split()[2]]				)

      return dict_of_neighbours







def 		A_							(						_lowerCAmelCase :     Dict					,						_lowerCAmelCase :     Dict				):



      """simple docstring"""




      with open(_lowerCAmelCase				) as f:
            _lowerCamelCase					: Optional[Any]		    = f.read(1				)
      _lowerCamelCase					: Optional[int]		    = start_node

      _lowerCamelCase					: List[Any]		    = []

      _lowerCamelCase					: List[str]		    = start_node

      _lowerCamelCase					: Optional[Any]		    = 0
      while visiting not in first_solution:
            _lowerCamelCase					: Any		    = 10000
            for k in dict_of_neighbours[visiting]:
                  if int(k[1]				) < int(_lowerCAmelCase				) and k[0] not in first_solution:
                        _lowerCamelCase					: Optional[int]		    = k[1]
                        _lowerCamelCase					: Tuple		    = k[0]

            first_solution.append(_lowerCAmelCase				)
            _lowerCamelCase					: Any		    = distance_of_first_solution + int(_lowerCAmelCase				)
            _lowerCamelCase					: Optional[int]		    = best_node

      first_solution.append(_lowerCAmelCase				)

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

      _lowerCamelCase					: Optional[Any]		    = (
          distance_of_first_solution
          + int(dict_of_neighbours[first_solution[-2]][position][1]				)
          - 10000
      )
      return first_solution, distance_of_first_solution







def 		A_							(						_lowerCAmelCase :     List[str]					,						_lowerCAmelCase :     Optional[Any]				):



      """simple docstring"""




      _lowerCamelCase					: Dict		    = []

      for n in solution[1:-1]:
            _lowerCamelCase					: int		    = solution.index(_lowerCAmelCase				)
            for kn in solution[1:-1]:
                  _lowerCamelCase					: List[str]		    = solution.index(_lowerCAmelCase				)
                  if n == kn:
                        continue

                  _lowerCamelCase					: Dict		    = copy.deepcopy(_lowerCAmelCase				)
                  _lowerCamelCase					: Union[str, Any]		    = kn
                  _lowerCamelCase					: List[Any]		    = n

                  _lowerCamelCase					: Any		    = 0

                  for k in _tmp[:-1]:
                        _lowerCamelCase					: Union[str, Any]		    = _tmp[_tmp.index(_lowerCAmelCase				) + 1]
                        for i in dict_of_neighbours[k]:
                              if i[0] == next_node:
                                    _lowerCamelCase					: int		    = distance + int(i[1]				)
                  _tmp.append(_lowerCAmelCase				)

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

      _lowerCamelCase					: List[Any]		    = len(neighborhood_of_solution[0]				) - 1

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







def 		A_							(						_lowerCAmelCase :     List[Any]					,						_lowerCAmelCase :     Dict					,						_lowerCAmelCase :     int					,						_lowerCAmelCase :     Tuple					,						_lowerCAmelCase :     List[Any]				):



      """simple docstring"""




      _lowerCamelCase					: Dict		    = 1
      _lowerCamelCase					: Union[str, Any]		    = first_solution
      _lowerCamelCase					: Optional[Any]		    = []
      _lowerCamelCase					: Optional[int]		    = distance_of_first_solution
      _lowerCamelCase					: List[str]		    = solution

      while count <= iters:
            _lowerCamelCase					: List[str]		    = find_neighborhood(_lowerCAmelCase					,						_lowerCAmelCase				)
            _lowerCamelCase					: List[Any]		    = 0
            _lowerCamelCase					: List[Any]		    = neighborhood[index_of_best_solution]
            _lowerCamelCase					: Optional[Any]		    = len(_lowerCAmelCase				) - 1

            _lowerCamelCase					: List[str]		    = False
            while not found:
                  _lowerCamelCase					: str		    = 0
                  while i < len(_lowerCAmelCase				):
                        if best_solution[i] != solution[i]:
                              _lowerCamelCase					: str		    = best_solution[i]
                              _lowerCamelCase					: Any		    = solution[i]
                              break
                        _lowerCamelCase					: List[Any]		    = 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]				)
                        _lowerCamelCase					: Optional[int]		    = True
                        _lowerCamelCase					: Union[str, Any]		    = best_solution[:-1]
                        _lowerCamelCase					: Union[str, Any]		    = neighborhood[index_of_best_solution][best_cost_index]
                        if cost < best_cost:
                              _lowerCamelCase					: Tuple		    = cost
                              _lowerCamelCase					: List[str]		    = solution
                  else:
                        _lowerCamelCase					: Dict		    = index_of_best_solution + 1
                        _lowerCamelCase					: Any		    = neighborhood[index_of_best_solution]

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

            _lowerCamelCase					: Union[str, Any]		    = count + 1

      return best_solution_ever, best_cost







def 		A_							(						_lowerCAmelCase :     List[str]=None				):



      """simple docstring"""




      _lowerCamelCase					: Tuple		    = generate_neighbours(args.File				)

      _lowerCamelCase    ,		_lowerCamelCase					: Tuple		    = generate_first_solution(
          args.File					,						_lowerCAmelCase				)

      _lowerCamelCase    ,		_lowerCamelCase					: int		    = tabu_search(
          _lowerCAmelCase					,						_lowerCAmelCase					,						_lowerCAmelCase					,						args.Iterations					,						args.Size					,						)

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


if __name__ == "__main__":
 UpperCAmelCase_							: str =							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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


A		=						{}

try:
			if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			A		=						['GPTSw3Tokenizer']


if TYPE_CHECKING:
			try:
						if not is_sentencepiece_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_gpt_swa import GPTSwaTokenizer

else:
			import sys

			A		=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



