

import argparse
import copy





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






							snake_case_     							=       {}

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

							return dict_of_neighbours





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__ ):







							'''simple docstring'''






							with open(UpperCamelCase__ ) as f:
														snake_case_     							=       f.read(1 )
							snake_case_     							=       start_node

							snake_case_     							=       []

							snake_case_     							=       start_node

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

														first_solution.append(UpperCamelCase__ )
														snake_case_     							=       distance_of_first_solution + int(UpperCamelCase__ )
														snake_case_     							=       best_node

							first_solution.append(UpperCamelCase__ )

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

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





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__ ):







							'''simple docstring'''






							snake_case_     							=       []

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

																					snake_case_     							=       copy.deepcopy(UpperCamelCase__ )
																					snake_case_     							=       kn
																					snake_case_     							=       n

																					snake_case_     							=       0

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

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

							snake_case_     							=       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__  ,				UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__ ):







							'''simple docstring'''






							snake_case_     							=       1
							snake_case_     							=       first_solution
							snake_case_     							=       []
							snake_case_     							=       distance_of_first_solution
							snake_case_     							=       solution

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

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

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

														snake_case_     							=       count + 1

							return best_solution_ever, best_cost





def    __lowerCamelCase      (					UpperCamelCase__=None ):







							'''simple docstring'''






							snake_case_     							=       generate_neighbours(args.File )

							snake_case_							,       snake_case_     							=       generate_first_solution(
							    args.File  ,				UpperCamelCase__ )

							snake_case_							,       snake_case_     							=       tabu_search(
							    UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__  ,				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())







import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_UpperCAmelCase						:  Tuple									=			logging.get_logger(__name__)


_UpperCAmelCase						:  Optional[int]									=			{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

_UpperCAmelCase						:  Union[str, Any]									=			{
    """vocab_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"""
    },
    """tokenizer_config_file""": {
        """facebook/blenderbot_small-90M""": (
            """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"""
        )
    },
}

_UpperCAmelCase						:  Union[str, Any]									=			{"""facebook/blenderbot_small-90M""": 512}





def    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






							snake_case_     							=       set()
							snake_case_     							=       word[0]
							for char in word[1:]:
														pairs.add((prev_char, char) )
														snake_case_     							=       char

							snake_case_     							=       set(UpperCamelCase__ )
							return pairs







class 					lowercase							(			lowercase_     ):
				__SCREAMING_SNAKE_CASE   :					Optional[Any]			     =     VOCAB_FILES_NAMES
				__SCREAMING_SNAKE_CASE   :					Any			     =     PRETRAINED_VOCAB_FILES_MAP
				__SCREAMING_SNAKE_CASE   :					str			     =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__SCREAMING_SNAKE_CASE   :					Optional[int]			     =     ['''input_ids''', '''attention_mask''']




				def __init__(   self ,  snake_case ,  snake_case ,  snake_case="__start__" ,  snake_case="__end__" ,  snake_case="__unk__" ,  snake_case="__null__" ,  **snake_case ,  ):
											super().__init__(unk_token=snake_case ,  bos_token=snake_case ,  eos_token=snake_case ,  pad_token=snake_case ,  **snake_case			)

											with open(snake_case ,  encoding='utf-8'			) as vocab_handle:
																		snake_case_     							=       json.load(snake_case			)
											snake_case_     							=       {v: k for k, v in self.encoder.items()}
											with open(snake_case ,  encoding='utf-8'			) as merges_handle:
																		snake_case_     							=       merges_handle.read().split('\n'			)[1:-1]
											snake_case_     							=       [tuple(merge.split()			) for merge in merges]
											snake_case_     							=       dict(zip(snake_case ,  range(len(snake_case			)			)			)			)
											snake_case_     							=       {}




				@property
				def        a				(   self			):
											return len(self.encoder			)




				def        a				(   self			):
											return dict(self.encoder ,  **self.added_tokens_encoder			)




				def        a				(   self ,  snake_case			):
											if token in self.cache:
																		return self.cache[token]
											snake_case_     							=       re.sub('([.,!?()])' ,  R' \1' ,  snake_case			)
											snake_case_     							=       re.sub('(\')' ,  R' \1 ' ,  snake_case			)
											snake_case_     							=       re.sub(R'\s{2,}' ,  ' ' ,  snake_case			)
											if "\n" in token:
																		snake_case_     							=       token.replace('\n' ,  ' __newln__'			)

											snake_case_     							=       token.split(' '			)
											snake_case_     							=       []
											for token in tokens:
																		if not len(snake_case			):
																									continue

																		snake_case_     							=       token.lower()
																		snake_case_     							=       tuple(snake_case			)
																		snake_case_     							=       tuple(list(word[:-1]			) + [word[-1] + '</w>']			)
																		snake_case_     							=       get_pairs(snake_case			)

																		if not pairs:
																									words.append(snake_case			)
																									continue

																		while True:
																									snake_case_     							=       min(snake_case ,  key=lambda snake_case			: self.bpe_ranks.get(snake_case ,  float('inf'			)			)			)
																									if bigram not in self.bpe_ranks:
																																break
																									snake_case_							,       snake_case_     							=       bigram
																									snake_case_     							=       []
																									snake_case_     							=       0

																									while i < len(snake_case			):
																																try:
																																							snake_case_     							=       word.index(snake_case ,  snake_case			)
																																							new_word.extend(word[i:j]			)
																																							snake_case_     							=       j
																																except ValueError:
																																							new_word.extend(word[i:]			)
																																							break

																																if word[i] == first and i < len(snake_case			) - 1 and word[i + 1] == second:
																																							new_word.append(first + second			)
																																							i += 2
																																else:
																																							new_word.append(word[i]			)
																																							i += 1
																									snake_case_     							=       tuple(snake_case			)
																									snake_case_     							=       new_word
																									if len(snake_case			) == 1:
																																break
																									else:
																																snake_case_     							=       get_pairs(snake_case			)
																		snake_case_     							=       '@@ '.join(snake_case			)
																		snake_case_     							=       word[:-4]

																		snake_case_     							=       word
																		words.append(snake_case			)
											return " ".join(snake_case			)




				def        a				(   self ,  snake_case			):
											snake_case_     							=       []

											snake_case_     							=       re.findall(R'\S+\n?' ,  snake_case			)

											for token in words:
																		split_tokens.extend(list(self.bpe(snake_case			).split(' '			)			)			)
											return split_tokens




				def        a				(   self ,  snake_case			):
											snake_case_     							=       token.lower()
											return self.encoder.get(snake_case ,  self.encoder.get(self.unk_token			)			)




				def        a				(   self ,  snake_case			):
											return self.decoder.get(snake_case ,  self.unk_token			)




				def        a				(   self ,  snake_case			):
											snake_case_     							=       ' '.join(snake_case			).replace('@@ ' ,  ''			).strip()
											return out_string




				def        a				(   self ,  snake_case ,  snake_case = None			):
											if not os.path.isdir(snake_case			):
																		logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''			)
																		return
											snake_case_     							=       os.path.join(
											    snake_case ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)
											snake_case_     							=       os.path.join(
											    snake_case ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']			)

											with open(snake_case ,  'w' ,  encoding='utf-8'			) as f:
																		f.write(json.dumps(self.encoder ,  indent=2 ,  sort_keys=snake_case ,  ensure_ascii=snake_case			) + '\n'			)

											snake_case_     							=       0
											with open(snake_case ,  'w' ,  encoding='utf-8'			) as writer:
																		writer.write('#version: 0.2\n'			)
																		for bpe_tokens, token_index in sorted(self.bpe_ranks.items() ,  key=lambda snake_case			: kv[1]			):
																									if index != token_index:
																																logger.warning(
																																    F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
																																    ' Please check that the tokenizer is not corrupted!'			)
																																snake_case_     							=       token_index
																									writer.write(' '.join(snake_case			) + '\n'			)
																									index += 1

											return vocab_file, merge_file




