





'''simple docstring'''




lowercase__    :      Dict						=    {0: [2, 3], 1: [0], 2: [1], 3: [4], 4: []}

lowercase__    :      Optional[Any]						=    {0: [1, 2, 3], 1: [2], 2: [0], 3: [4], 4: [5], 5: [3]}






def        _lowerCAmelCase			(  __snake_case  : dict[int, list[int]] ,							__snake_case  : int ,							__snake_case  : list[bool]			)     ->     list[int]:
     __A						: List[str]      =       True
     __A						: Optional[int]      =       []

     for neighbour in graph[vert]:
          if not visited[neighbour]:
               order += topology_sort(__snake_case ,							__snake_case ,							__snake_case			)

     order.append(__snake_case			)

     return order






def        _lowerCAmelCase			(  __snake_case  : dict[int, list[int]] ,							__snake_case  : int ,							__snake_case  : list[bool]			)     ->     list[int]:
     __A						: List[Any]      =       True
     __A						: Optional[Any]      =       [vert]

     for neighbour in reversed_graph[vert]:
          if not visited[neighbour]:
               component += find_components(__snake_case ,							__snake_case ,							__snake_case			)

     return component







def        _lowerCAmelCase			(  __snake_case  : dict[int, list[int]]			)     ->     list[list[int]]:
     __A						: List[Any]      =       len(__snake_case			) * [False]
     __A						: dict[int, list[int]]      =       {vert: [] for vert in range(len(__snake_case			)			)}

     for vert, neighbours in graph.items():
          for neighbour in neighbours:
               reversed_graph[neighbour].append(__snake_case			)

     __A						: str      =       []
     for i, was_visited in enumerate(__snake_case			):
          if not was_visited:
               order += topology_sort(__snake_case ,							__snake_case ,							__snake_case			)

     __A						: str      =       []
     __A						: Any      =       len(__snake_case			) * [False]

     for i in range(len(__snake_case			)			):
          __A						: Dict      =       order[len(__snake_case			) - i - 1]
          if not visited[vert]:
               __A						: Union[str, Any]      =       find_components(__snake_case ,							__snake_case ,							__snake_case			)
               components_list.append(__snake_case			)

     return components_list






'''simple docstring'''




import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing


class  SCREAMING_SNAKE_CASE    (a__							):


     def __init__(						self						,	_UpperCAmelCase = "▁"						,	_UpperCAmelCase = True						,	_UpperCAmelCase = "<unk>"						,	_UpperCAmelCase = "</s>"						,	_UpperCAmelCase = "<pad>"						,	):

          '''simple docstring'''






          __A						: Dict      =       {
              'pad': {'id': 0, 'token': pad_token},
              'eos': {'id': 1, 'token': eos_token},
              'unk': {'id': 2, 'token': unk_token},
          }

          __A						: List[Any]      =       [None] * len(self.special_tokens)
          for token_dict in self.special_tokens.values():
               __A						: List[str]      =       token_dict['token']

          __A						: str      =       Tokenizer(Unigram())

          __A						: Dict      =       normalizers.Sequence(
              [
                  normalizers.Nmt(),
                  normalizers.NFKC(),
                  normalizers.Replace(Regex(' {2,}')						,	' '),
                  normalizers.Lowercase(),
              ])
          __A						: Union[str, Any]      =       pre_tokenizers.Sequence(
              [
                  pre_tokenizers.Metaspace(replacement=_UpperCAmelCase						,	add_prefix_space=_UpperCAmelCase),
                  pre_tokenizers.Digits(individual_digits=_UpperCAmelCase),
                  pre_tokenizers.Punctuation(),
              ])
          __A						: Any      =       decoders.Metaspace(replacement=_UpperCAmelCase						,	add_prefix_space=_UpperCAmelCase)

          __A						: Dict      =       TemplateProcessing(
              single=F'$A {self.special_tokens["eos"]["token"]}'						,	special_tokens=[(self.special_tokens['eos']['token'], self.special_tokens['eos']['id'])]						,	)

          __A						: Any      =       {
              'model': 'SentencePieceUnigram',
              'replacement': replacement,
              'add_prefix_space': add_prefix_space,
          }

          super().__init__(_UpperCAmelCase						,	_UpperCAmelCase)


     def 							SCREAMING_SNAKE_CASE  (						self						,	_UpperCAmelCase						,	_UpperCAmelCase = 8000						,	_UpperCAmelCase = True						,	):

          '''simple docstring'''






          __A						: str      =       trainers.UnigramTrainer(
              vocab_size=_UpperCAmelCase						,	special_tokens=self.special_tokens_list						,	show_progress=_UpperCAmelCase						,	)

          if isinstance(_UpperCAmelCase						,	_UpperCAmelCase):
               __A						: Union[str, Any]      =       [files]
          self._tokenizer.train(_UpperCAmelCase						,	trainer=_UpperCAmelCase)

          self.add_unk_id()


     def 							SCREAMING_SNAKE_CASE  (						self						,	_UpperCAmelCase						,	_UpperCAmelCase = 8000						,	_UpperCAmelCase = True						,	):

          '''simple docstring'''






          __A						: Dict      =       trainers.UnigramTrainer(
              vocab_size=_UpperCAmelCase						,	special_tokens=self.special_tokens_list						,	show_progress=_UpperCAmelCase						,	)

          self._tokenizer.train_from_iterator(_UpperCAmelCase						,	trainer=_UpperCAmelCase)

          self.add_unk_id()


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: Any      =       json.loads(self._tokenizer.to_str())

          __A						: Union[str, Any]      =       self.special_tokens['unk']['id']

          __A						: str      =       Tokenizer.from_str(json.dumps(_UpperCAmelCase))