


import argparse
import copy
def 				__lowerCamelCase						( UpperCAmelCase_						:		Dict						):




      """simple docstring"""





      a						:Union[str, Any] 							=       {}

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

      return dict_of_neighbours
def 				__lowerCamelCase						( UpperCAmelCase_						:		str ,  UpperCAmelCase_						:		Optional[int]						):




      """simple docstring"""





      with open(UpperCAmelCase_						) as f:
            a						:Any 							=       f.read(1						)
      a						:Dict 							=       start_node

      a						:str 							=       []

      a						:Dict 							=       start_node

      a						:List[Any] 							=       0
      while visiting not in first_solution:
            a						:Any 							=       1_0000
            for k in dict_of_neighbours[visiting]:
                  if int(k[1]						) < int(UpperCAmelCase_						) and k[0] not in first_solution:
                        a						:Tuple 							=       k[1]
                        a						:List[str] 							=       k[0]

            first_solution.append(UpperCAmelCase_						)
            a						:Dict 							=       distance_of_first_solution + int(UpperCAmelCase_						)
            a						:Any 							=       best_node

      first_solution.append(UpperCAmelCase_						)

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

      a						:Optional[int] 							=       (
          distance_of_first_solution
          + int(dict_of_neighbours[first_solution[-2]][position][1]						)
          - 1_0000
      )
      return first_solution, distance_of_first_solution
def 				__lowerCamelCase						( UpperCAmelCase_						:		int ,  UpperCAmelCase_						:		str						):




      """simple docstring"""





      a						:Optional[int] 							=       []

      for n in solution[1:-1]:
            a						:int 							=       solution.index(UpperCAmelCase_						)
            for kn in solution[1:-1]:
                  a						:List[Any] 							=       solution.index(UpperCAmelCase_						)
                  if n == kn:
                        continue

                  a						:int 							=       copy.deepcopy(UpperCAmelCase_						)
                  a						:Optional[int] 							=       kn
                  a						:Optional[Any] 							=       n

                  a						:Any 							=       0

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

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

      a						:List[str] 							=       len(neighborhood_of_solution[0]						) - 1

      neighborhood_of_solution.sort(key=lambda UpperCAmelCase_						: x[index_of_last_item_in_the_list]						)
      return neighborhood_of_solution
def 				__lowerCamelCase						( UpperCAmelCase_						:		str ,  UpperCAmelCase_						:		int ,  UpperCAmelCase_						:		int ,  UpperCAmelCase_						:		str ,  UpperCAmelCase_						:		Tuple						):




      """simple docstring"""





      a						:List[str] 							=       1
      a						:List[str] 							=       first_solution
      a						:Optional[Any] 							=       []
      a						:Any 							=       distance_of_first_solution
      a						:List[str] 							=       solution

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

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

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

            a						:List[str] 							=       count + 1

      return best_solution_ever, best_cost
def 				__lowerCamelCase						( UpperCAmelCase_						:		Union[str, Any]=None						):




      """simple docstring"""





      a						:Any 							=       generate_neighbours(args.File						)

      a							,				a						:str 							=       generate_first_solution(
          args.File ,  UpperCAmelCase_						)

      a							,				a						:List[str] 							=       tabu_search(
          UpperCAmelCase_ ,  UpperCAmelCase_ ,  UpperCAmelCase_ ,  args.Iterations ,  args.Size ,  )

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


if __name__ == "__main__":
     snake_case				:    List[Any]       				=     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 ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


lowerCAmelCase_					:    int      	=			{'configuration_gpt_neox': ['GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTNeoXConfig']}

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_					:    Optional[int]      	=			['GPTNeoXTokenizerFast']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_					:    List[str]      	=			[
					    'GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'GPTNeoXForCausalLM',
					    'GPTNeoXForQuestionAnswering',
					    'GPTNeoXForSequenceClassification',
					    'GPTNeoXForTokenClassification',
					    'GPTNeoXLayer',
					    'GPTNeoXModel',
					    'GPTNeoXPreTrainedModel',
					]


if TYPE_CHECKING:
					from .configuration_gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_gpt_neox_fast import GPTNeoXTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_gpt_neox import (
										    GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GPTNeoXForCausalLM,
										    GPTNeoXForQuestionAnswering,
										    GPTNeoXForSequenceClassification,
										    GPTNeoXForTokenClassification,
										    GPTNeoXLayer,
										    GPTNeoXModel,
										    GPTNeoXPreTrainedModel,
										)


else:
					import sys

					lowerCAmelCase_					:    List[str]      	=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
