

import argparse
import copy
def 	a (     A__      :  Optional[Any]	)       -> Optional[int]:





      """simple docstring"""



      _lowercase      			={}

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

      return dict_of_neighbours
def 	a (     A__      :  Optional[int] ,  A__      :  Tuple	)       -> str:





      """simple docstring"""



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

      _lowercase      			=[]

      _lowercase      			=start_node

      _lowercase      			=0
      while visiting not in first_solution:
            _lowercase      			=10000
            for k in dict_of_neighbours[visiting]:
                  if int(k[1]	) < int(UpperCAmelCase_	) and k[0] not in first_solution:
                        _lowercase      			=k[1]
                        _lowercase      			=k[0]

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

      first_solution.append(UpperCAmelCase_	)

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

      _lowercase      			=(
          distance_of_first_solution
          + int(dict_of_neighbours[first_solution[-2]][position][1]	)
          - 10000
      )
      return first_solution, distance_of_first_solution
def 	a (     A__      :  int ,  A__      :  Any	)       -> int:





      """simple docstring"""



      _lowercase      			=[]

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

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

                  _lowercase      			=0

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

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

      _lowercase      			=len(neighborhood_of_solution[0]	) - 1

      neighborhood_of_solution.sort(key=lambda A__	: x[index_of_last_item_in_the_list]	)
      return neighborhood_of_solution
def 	a (     A__      :  str ,  A__      :  Any ,  A__      :  Any ,  A__      :  Dict ,  A__      :  Optional[Any]	)       -> Optional[int]:





      """simple docstring"""



      _lowercase      			=1
      _lowercase      			=first_solution
      _lowercase      			=[]
      _lowercase      			=distance_of_first_solution
      _lowercase      			=solution

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

            _lowercase      			=False
            while not found:
                  _lowercase      			=0
                  while i < len(UpperCAmelCase_	):
                        if best_solution[i] != solution[i]:
                              _lowercase      			=best_solution[i]
                              _lowercase      			=solution[i]
                              break
                        _lowercase      			=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]	)
                        _lowercase      			=True
                        _lowercase      			=best_solution[:-1]
                        _lowercase      			=neighborhood[index_of_best_solution][best_cost_index]
                        if cost < best_cost:
                              _lowercase      			=cost
                              _lowercase      			=solution
                  else:
                        _lowercase      			=index_of_best_solution + 1
                        _lowercase      			=neighborhood[index_of_best_solution]

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

            _lowercase      			=count + 1

      return best_solution_ever, best_cost
def 	a (     A__      :  Any=None	)       -> Union[str, Any]:





      """simple docstring"""



      _lowercase      			=generate_neighbours(args.File	)

      _lowercase      			=generate_first_solution(
          args.File ,  UpperCAmelCase_	)

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

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


if __name__ == "__main__":
  lowercase_   							=  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 .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

A__						:   Dict				=    [
    """python""",
    """tqdm""",
    """regex""",
    """requests""",
    """packaging""",
    """filelock""",
    """numpy""",
    """tokenizers""",
    """huggingface-hub""",
    """safetensors""",
    """accelerate""",
    """pyyaml""",
]

for pkg in pkgs_to_check_at_runtime:
      if pkg in deps:
            if pkg == "tokenizers":
                  # must be loaded here, or else tqdm check may fail
                  from .utils import is_tokenizers_available

                  if not is_tokenizers_available():
                        continue  # not required, check version only if installed
            elif pkg == "accelerate":
                  # must be loaded here, or else tqdm check may fail
                  from .utils import is_accelerate_available

                  # Maybe switch to is_torch_available in the future here so that Accelerate is hard dep of
                  # Transformers with PyTorch
                  if not is_accelerate_available():
                        continue  # not required, check version only if installed

            require_version_core(deps[pkg])
      else:
            raise ValueError(f'''can\'t find {pkg} in {deps.keys()}, check dependency_versions_table.py''')



def      UpperCAmelCase__   (      UpperCAmelCase_       :							List[Any] ,       UpperCAmelCase_       :							List[Any]=None				)	->						List[Any]:
     require_version(deps[pkg] ,       UpperCAmelCase_				)






