

'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


UpperCamelCase_							=					{
    """configuration_longt5""": ["""LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LongT5Config""", """LongT5OnnxConfig"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					[
							    """LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """LongT5EncoderModel""",
							    """LongT5ForConditionalGeneration""",
							    """LongT5Model""",
							    """LongT5PreTrainedModel""",
							]

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					[
							    """FlaxLongT5ForConditionalGeneration""",
							    """FlaxLongT5Model""",
							    """FlaxLongT5PreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_longta import LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP, LongTaConfig, LongTaOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_longta import (
														    LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST,
														    LongTaEncoderModel,
														    LongTaForConditionalGeneration,
														    LongTaModel,
														    LongTaPreTrainedModel,
														)

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_longta import (
														    FlaxLongTaForConditionalGeneration,
														    FlaxLongTaModel,
														    FlaxLongTaPreTrainedModel,
														)


else:
							import sys

							UpperCamelCase_							=					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)








'''simple docstring'''





import argparse
import copy






def 							_lowerCAmelCase (      __magic_name__	:    List[str]	)							->     Union[str, Any]:
						lowercase   :       int								={}

						with open(__magic_name__	) as f:
												for line in f:
																		if line.split()[0] not in dict_of_neighbours:
																								lowercase   :       List[str]								=[]
																								_list.append([line.split()[1], line.split()[2]]	)
																								lowercase   :       Tuple								=_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[Any]								=[]
																								_list.append([line.split()[0], line.split()[2]]	)
																								lowercase   :       Union[str, Any]								=_list
																		else:
																								dict_of_neighbours[line.split()[1]].append(
																								    [line.split()[0], line.split()[2]]	)

						return dict_of_neighbours






def 							_lowerCAmelCase (      __magic_name__	:    Optional[int]      ,   __magic_name__	:    List[Any]	)							->     str:

						with open(__magic_name__	) as f:
												lowercase   :       Optional[int]								=f.read(1	)
						lowercase   :       List[Any]								=start_node

						lowercase   :       List[Any]								=[]

						lowercase   :       str								=start_node

						lowercase   :       str								=0
						while visiting not in first_solution:
												lowercase   :       Optional[int]								=10000
												for k in dict_of_neighbours[visiting]:
																		if int(k[1]	) < int(__magic_name__	) and k[0] not in first_solution:
																								lowercase   :       List[Any]								=k[1]
																								lowercase   :       str								=k[0]

												first_solution.append(__magic_name__	)
												lowercase   :       Any								=distance_of_first_solution + int(__magic_name__	)
												lowercase   :       Optional[int]								=best_node

						first_solution.append(__magic_name__	)

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

						lowercase   :       str								=(
						    distance_of_first_solution
						    + int(dict_of_neighbours[first_solution[-2]][position][1]	)
						    - 10000
						)
						return first_solution, distance_of_first_solution






def 							_lowerCAmelCase (      __magic_name__	:    str      ,   __magic_name__	:    Any	)							->     Tuple:
						lowercase   :       Tuple								=[]

						for n in solution[1:-1]:
												lowercase   :       Dict								=solution.index(__magic_name__	)
												for kn in solution[1:-1]:
																		lowercase   :       Tuple								=solution.index(__magic_name__	)
																		if n == kn:
																								continue

																		lowercase   :       Union[str, Any]								=copy.deepcopy(__magic_name__	)
																		lowercase   :       Optional[int]								=kn
																		lowercase   :       List[Any]								=n

																		lowercase   :       List[Any]								=0

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

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

						lowercase   :       Union[str, Any]								=len(neighborhood_of_solution[0]	) - 1

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






def 							_lowerCAmelCase (      __magic_name__	:    Any      ,   __magic_name__	:    str      ,   __magic_name__	:    List[Any]      ,   __magic_name__	:    Tuple      ,   __magic_name__	:    Dict	)							->     Union[str, Any]:
						lowercase   :       str								=1
						lowercase   :       List[Any]								=first_solution
						lowercase   :       Any								=[]
						lowercase   :       str								=distance_of_first_solution
						lowercase   :       str								=solution

						while count <= iters:
												lowercase   :       Union[str, Any]								=find_neighborhood(__magic_name__      ,   __magic_name__	)
												lowercase   :       Dict								=0
												lowercase   :       int								=neighborhood[index_of_best_solution]
												lowercase   :       Optional[int]								=len(__magic_name__	) - 1

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

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

												lowercase   :       Optional[int]								=count + 1

						return best_solution_ever, best_cost






def 							_lowerCAmelCase (      __magic_name__	:    str=None	)							->     Tuple:
						lowercase   :       List[str]								=generate_neighbours(args.File	)

						lowercase		,  lowercase   :       Optional[Any]								=generate_first_solution(
						    args.File      ,   __magic_name__	)

						lowercase		,  lowercase   :       int								=tabu_search(
						    __magic_name__      ,   __magic_name__      ,   __magic_name__      ,   args.Iterations      ,   args.Size      ,   )

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


if __name__ == "__main__":
							UpperCamelCase_							=					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())





