"""simple docstring"""
lowercase__ 	=     {0: [2, 3], 1: [0], 2: [1], 3: [4], 4: []}

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







def 						__a       (     _SCREAMING_SNAKE_CASE		,					_SCREAMING_SNAKE_CASE		,					_SCREAMING_SNAKE_CASE       )     ->list[int]:
  a__:					Dict      							=     True
  a__:					Any      							=     []

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

  order.append(SCREAMING_SNAKE_CASE_       )

  return order







def 						__a       (     _SCREAMING_SNAKE_CASE		,					_SCREAMING_SNAKE_CASE		,					_SCREAMING_SNAKE_CASE       )     ->list[int]:
  a__:					Optional[Any]      							=     True
  a__:					Tuple      							=     [vert]

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

  return component







def 						__a       (     _SCREAMING_SNAKE_CASE       )     ->list[list[int]]:
  a__:					Dict      							=     len(SCREAMING_SNAKE_CASE_       ) * [False]
  a__:					Dict      							=     {vert: [] for vert in range(len(SCREAMING_SNAKE_CASE_       )       )}

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

  a__:					Tuple      							=     []
  for i, was_visited in enumerate(SCREAMING_SNAKE_CASE_       ):
    if not was_visited:
      order += topology_sort(SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_       )

  a__:					Any      							=     []
  a__:					Optional[Any]      							=     len(SCREAMING_SNAKE_CASE_       ) * [False]

  for i in range(len(SCREAMING_SNAKE_CASE_       )       ):
    a__:					List[str]      							=     order[len(SCREAMING_SNAKE_CASE_       ) - i - 1]
    if not visited[vert]:
      a__:					Tuple      							=     find_components(SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_       )
      components_list.append(SCREAMING_SNAKE_CASE_       )

  return components_list



"""simple docstring"""
import os
from shutil import copyfile
from typing import List, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
 from .tokenization_mbart import MBartTokenizer
else:
 lowercase__ 	=     None


lowercase__ 	=     logging.get_logger(__name__)


lowercase__ 	=     {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

lowercase__ 	=     {
    'vocab_file': {
        'facebook/mbart-large-en-ro': (
            'https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model'
        ),
        'facebook/mbart-large-cc25': (
            'https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model'
        ),
    },
    'tokenizer_file': {
        'facebook/mbart-large-en-ro': 'https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/tokenizer.json',
        'facebook/mbart-large-cc25': 'https://huggingface.co/facebook/mbart-large-cc25/resolve/main/tokenizer.json',
    },
}

lowercase__ 	=     {
    'facebook/mbart-large-en-ro': 1024,
    'facebook/mbart-large-cc25': 1024,
}

# fmt: off
lowercase__ 	=     ['ar_AR', 'cs_CZ', 'de_DE', 'en_XX', 'es_XX', 'et_EE', 'fi_FI', 'fr_XX', 'gu_IN', 'hi_IN', 'it_IT', 'ja_XX', 'kk_KZ', 'ko_KR', 'lt_LT', 'lv_LV', 'my_MM', 'ne_NP', 'nl_XX', 'ro_RO', 'ru_RU', 'si_LK', 'tr_TR', 'vi_VN', 'zh_CN']




class        __snake_case	(					__lowerCAmelCase    ):
      a__				=		VOCAB_FILES_NAMES
      a__				=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a__				=		PRETRAINED_VOCAB_FILES_MAP
      a__				=		["""input_ids""", """attention_mask"""]
      a__				=		MBartTokenizer

      a__				=		[]
      a__				=		[]



      def __init__(						self   ,      lowercase=None   ,      lowercase=None   ,      lowercase="<s>"   ,      lowercase="</s>"   ,      lowercase="</s>"   ,      lowercase="<s>"   ,      lowercase="<unk>"   ,      lowercase="<pad>"   ,      lowercase="<mask>"   ,      lowercase=None   ,      lowercase=None   ,      lowercase=None   ,      **lowercase   ,      )     ->      Tuple:





        '''simple docstring'''





        a__:					List[str]      							=     AddedToken(lowercase   ,      lstrip=lowercase   ,      rstrip=lowercase) if isinstance(lowercase   ,      lowercase) else mask_token

        super().__init__(
            vocab_file=lowercase   ,      tokenizer_file=lowercase   ,      bos_token=lowercase   ,      eos_token=lowercase   ,      sep_token=lowercase   ,      cls_token=lowercase   ,      unk_token=lowercase   ,      pad_token=lowercase   ,      mask_token=lowercase   ,      src_lang=lowercase   ,      tgt_lang=lowercase   ,      additional_special_tokens=lowercase   ,      **lowercase   ,      )

        a__:					Tuple      							=     vocab_file
        a__:					Union[str, Any]      							=     False if not self.vocab_file else True

        a__:					Union[str, Any]      							=     FAIRSEQ_LANGUAGE_CODES.copy()

        if additional_special_tokens is not None:
          # Only add those special tokens if they are not already there.
          _additional_special_tokens.extend(
              [t for t in additional_special_tokens if t not in _additional_special_tokens])

        self.add_special_tokens({'additional_special_tokens': _additional_special_tokens})
        a__:					int      							=     {
            lang_code: self.convert_tokens_to_ids(lowercase) for lang_code in FAIRSEQ_LANGUAGE_CODES
        }

        a__:					List[Any]      							=     src_lang if src_lang is not None else 'en_XX'
        a__:					Tuple      							=     self.convert_tokens_to_ids(self._src_lang)
        a__:					str      							=     tgt_lang
        self.set_src_lang_special_tokens(self._src_lang)



      @property
      def   lowerCamelCase_       (						self)     ->      str:





        '''simple docstring'''





        return self._src_lang



      @src_lang.setter
      def   lowerCamelCase_       (						self   ,      lowercase)     ->      None:





        '''simple docstring'''





        a__:					Tuple      							=     new_src_lang
        self.set_src_lang_special_tokens(self._src_lang)



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None)     ->      List[int]:





        '''simple docstring'''





        if token_ids_a is None:
          return self.prefix_tokens + token_ids_a + self.suffix_tokens
        # We don't expect to process pairs, but leave the pair logic for API consistency
        return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None)     ->      List[int]:





        '''simple docstring'''





        a__:					Any      							=     [self.sep_token_id]
        a__:					List[str]      							=     [self.cls_token_id]

        if token_ids_a is None:
          return len(cls + token_ids_a + sep) * [0]
        return len(cls + token_ids_a + sep + sep + token_ids_a + sep) * [0]



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase   ,      lowercase   ,      lowercase   ,      **lowercase)     ->      Union[str, Any]:





        '''simple docstring'''





        if src_lang is None or tgt_lang is None:
          raise ValueError('Translation requires a `src_lang` and a `tgt_lang` for this model')
        a__:					Union[str, Any]      							=     src_lang
        a__:					Any      							=     self(lowercase   ,      add_special_tokens=lowercase   ,      return_tensors=lowercase   ,      **lowercase)
        a__:					str      							=     self.convert_tokens_to_ids(lowercase)
        a__:					Any      							=     tgt_lang_id
        return inputs



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = "en_XX"   ,      lowercase = None   ,      lowercase = "ro_RO"   ,      **lowercase   ,      )     ->      BatchEncoding:





        '''simple docstring'''





        a__:					Any      							=     src_lang
        a__:					List[Any]      							=     tgt_lang
        return super().prepare_seqaseq_batch(lowercase   ,      lowercase   ,      **lowercase)



      def   lowerCamelCase_       (						self)     ->      Dict:





        '''simple docstring'''





        return self.set_src_lang_special_tokens(self.src_lang)



      def   lowerCamelCase_       (						self)     ->      List[Any]:





        '''simple docstring'''





        return self.set_tgt_lang_special_tokens(self.tgt_lang)



      def   lowerCamelCase_       (						self   ,      lowercase)     ->      None:





        '''simple docstring'''





        a__:					int      							=     self.convert_tokens_to_ids(lowercase)
        a__:					List[Any]      							=     []
        a__:					List[str]      							=     [self.eos_token_id, self.cur_lang_code]

        a__:					Dict      							=     self.convert_ids_to_tokens(self.prefix_tokens)
        a__:					Any      							=     self.convert_ids_to_tokens(self.suffix_tokens)

        a__:					int      							=     processors.TemplateProcessing(
            single=prefix_tokens_str + ['$A'] + suffix_tokens_str   ,      pair=prefix_tokens_str + ['$A', '$B'] + suffix_tokens_str   ,      special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str   ,      self.prefix_tokens + self.suffix_tokens))   ,      )



      def   lowerCamelCase_       (						self   ,      lowercase)     ->      None:





        '''simple docstring'''





        a__:					str      							=     self.convert_tokens_to_ids(lowercase)
        a__:					List[Any]      							=     []
        a__:					Dict      							=     [self.eos_token_id, self.cur_lang_code]

        a__:					Any      							=     self.convert_ids_to_tokens(self.prefix_tokens)
        a__:					Optional[Any]      							=     self.convert_ids_to_tokens(self.suffix_tokens)

        a__:					str      							=     processors.TemplateProcessing(
            single=prefix_tokens_str + ['$A'] + suffix_tokens_str   ,      pair=prefix_tokens_str + ['$A', '$B'] + suffix_tokens_str   ,      special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str   ,      self.prefix_tokens + self.suffix_tokens))   ,      )



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None)     ->      Tuple[str]:





        '''simple docstring'''





        if not self.can_save_slow_tokenizer:
          raise ValueError(
              'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
              'tokenizer.')

        if not os.path.isdir(lowercase):
          logger.error(f'Vocabulary path ({save_directory}) should be a directory.')
          return
        a__:					Any      							=     os.path.join(
            lowercase   ,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])

        if os.path.abspath(self.vocab_file) != os.path.abspath(lowercase):
          copyfile(self.vocab_file   ,      lowercase)

        return (out_vocab_file,)


