




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_nllb import NllbTokenizer
else:
     _UpperCAmelCase		:  List[str]	=   None


_UpperCAmelCase		:  List[Any]	=   logging.get_logger(__name__)


_UpperCAmelCase		:  int	=   {"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

_UpperCAmelCase		:  Optional[Any]	=   {
    "vocab_file": {
        "facebook/nllb-200-distilled-600M": (
            "https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/sentencepiece.bpe.model"
        ),
    },
    "tokenizer_file": {
        "facebook/nllb-200-distilled-600M": (
            "https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/tokenizer.json"
        ),
    },
}

_UpperCAmelCase		:  Optional[Any]	=   {
    "facebook/nllb-large-en-ro": 1024,
    "facebook/nllb-200-distilled-600M": 1024,
}

# fmt: off
_UpperCAmelCase		:  Optional[Any]	=   ["ace_Arab", "ace_Latn", "acm_Arab", "acq_Arab", "aeb_Arab", "afr_Latn", "ajp_Arab", "aka_Latn", "amh_Ethi", "apc_Arab", "arb_Arab", "ars_Arab", "ary_Arab", "arz_Arab", "asm_Beng", "ast_Latn", "awa_Deva", "ayr_Latn", "azb_Arab", "azj_Latn", "bak_Cyrl", "bam_Latn", "ban_Latn", "bel_Cyrl", "bem_Latn", "ben_Beng", "bho_Deva", "bjn_Arab", "bjn_Latn", "bod_Tibt", "bos_Latn", "bug_Latn", "bul_Cyrl", "cat_Latn", "ceb_Latn", "ces_Latn", "cjk_Latn", "ckb_Arab", "crh_Latn", "cym_Latn", "dan_Latn", "deu_Latn", "dik_Latn", "dyu_Latn", "dzo_Tibt", "ell_Grek", "eng_Latn", "epo_Latn", "est_Latn", "eus_Latn", "ewe_Latn", "fao_Latn", "pes_Arab", "fij_Latn", "fin_Latn", "fon_Latn", "fra_Latn", "fur_Latn", "fuv_Latn", "gla_Latn", "gle_Latn", "glg_Latn", "grn_Latn", "guj_Gujr", "hat_Latn", "hau_Latn", "heb_Hebr", "hin_Deva", "hne_Deva", "hrv_Latn", "hun_Latn", "hye_Armn", "ibo_Latn", "ilo_Latn", "ind_Latn", "isl_Latn", "ita_Latn", "jav_Latn", "jpn_Jpan", "kab_Latn", "kac_Latn", "kam_Latn", "kan_Knda", "kas_Arab", "kas_Deva", "kat_Geor", "knc_Arab", "knc_Latn", "kaz_Cyrl", "kbp_Latn", "kea_Latn", "khm_Khmr", "kik_Latn", "kin_Latn", "kir_Cyrl", "kmb_Latn", "kon_Latn", "kor_Hang", "kmr_Latn", "lao_Laoo", "lvs_Latn", "lij_Latn", "lim_Latn", "lin_Latn", "lit_Latn", "lmo_Latn", "ltg_Latn", "ltz_Latn", "lua_Latn", "lug_Latn", "luo_Latn", "lus_Latn", "mag_Deva", "mai_Deva", "mal_Mlym", "mar_Deva", "min_Latn", "mkd_Cyrl", "plt_Latn", "mlt_Latn", "mni_Beng", "khk_Cyrl", "mos_Latn", "mri_Latn", "zsm_Latn", "mya_Mymr", "nld_Latn", "nno_Latn", "nob_Latn", "npi_Deva", "nso_Latn", "nus_Latn", "nya_Latn", "oci_Latn", "gaz_Latn", "ory_Orya", "pag_Latn", "pan_Guru", "pap_Latn", "pol_Latn", "por_Latn", "prs_Arab", "pbt_Arab", "quy_Latn", "ron_Latn", "run_Latn", "rus_Cyrl", "sag_Latn", "san_Deva", "sat_Beng", "scn_Latn", "shn_Mymr", "sin_Sinh", "slk_Latn", "slv_Latn", "smo_Latn", "sna_Latn", "snd_Arab", "som_Latn", "sot_Latn", "spa_Latn", "als_Latn", "srd_Latn", "srp_Cyrl", "ssw_Latn", "sun_Latn", "swe_Latn", "swh_Latn", "szl_Latn", "tam_Taml", "tat_Cyrl", "tel_Telu", "tgk_Cyrl", "tgl_Latn", "tha_Thai", "tir_Ethi", "taq_Latn", "taq_Tfng", "tpi_Latn", "tsn_Latn", "tso_Latn", "tuk_Latn", "tum_Latn", "tur_Latn", "twi_Latn", "tzm_Tfng", "uig_Arab", "ukr_Cyrl", "umb_Latn", "urd_Arab", "uzn_Latn", "vec_Latn", "vie_Latn", "war_Latn", "wol_Latn", "xho_Latn", "ydd_Hebr", "yor_Latn", "yue_Hant", "zho_Hans", "zho_Hant", "zul_Latn"]




class       __lowerCAmelCase				(							lowerCAmelCase):
       _a           =  VOCAB_FILES_NAMES
       _a           =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _a           =  PRETRAINED_VOCAB_FILES_MAP
       _a           =  ['''input_ids''', '''attention_mask''']
       _a           =  NllbTokenizer

       _a           =  []
       _a           =  []






       def __init__(      self:    Dict				,    _lowerCAmelCase:    Union[str, Any]=None				,    _lowerCAmelCase:    str=None				,    _lowerCAmelCase:    Any="<s>"				,    _lowerCAmelCase:    str="</s>"				,    _lowerCAmelCase:    List[Any]="</s>"				,    _lowerCAmelCase:    Optional[Any]="<s>"				,    _lowerCAmelCase:    List[Any]="<unk>"				,    _lowerCAmelCase:    int="<pad>"				,    _lowerCAmelCase:    Optional[int]="<mask>"				,    _lowerCAmelCase:    Tuple=None				,    _lowerCAmelCase:    Any=None				,    _lowerCAmelCase:    Optional[Any]=None				,    _lowerCAmelCase:    str=False				,    **_lowerCAmelCase:    Tuple				,    ):
         # Mask token behave like a normal word, i.e. include the space before it
         lowercase			:int							=  AddedToken(_lowerCAmelCase				,    lstrip=_lowerCAmelCase				,    rstrip=_lowerCAmelCase ) if isinstance(_lowerCAmelCase				,    _lowerCAmelCase ) else mask_token
         lowercase			:List[Any]							=  legacy_behaviour
         super().__init__(
             vocab_file=_lowerCAmelCase				,    tokenizer_file=_lowerCAmelCase				,    bos_token=_lowerCAmelCase				,    eos_token=_lowerCAmelCase				,    sep_token=_lowerCAmelCase				,    cls_token=_lowerCAmelCase				,    unk_token=_lowerCAmelCase				,    pad_token=_lowerCAmelCase				,    mask_token=_lowerCAmelCase				,    src_lang=_lowerCAmelCase				,    tgt_lang=_lowerCAmelCase				,    additional_special_tokens=_lowerCAmelCase				,    legacy_behaviour=_lowerCAmelCase				,    **_lowerCAmelCase				,    )

         lowercase			:int							=  vocab_file
         lowercase			:str							=  False if not self.vocab_file else True

         lowercase			:str							=  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} )
         lowercase			:Optional[int]							=  {
             lang_code: self.convert_tokens_to_ids(_lowerCAmelCase ) for lang_code in FAIRSEQ_LANGUAGE_CODES
         }

         lowercase			:List[str]							=  src_lang if src_lang is not None else "eng_Latn"
         lowercase			:Optional[Any]							=  self.convert_tokens_to_ids(self._src_lang )
         lowercase			:str							=  tgt_lang
         self.set_src_lang_special_tokens(self._src_lang )






       @property
       def     SCREAMING_SNAKE_CASE			(      self:    Union[str, Any] ):
         return self._src_lang






       @src_lang.setter
       def     SCREAMING_SNAKE_CASE			(      self:    Dict				,    _lowerCAmelCase:    str ):
         lowercase			:int							=  new_src_lang
         self.set_src_lang_special_tokens(self._src_lang )






       def     SCREAMING_SNAKE_CASE			(      self:    int				,    _lowerCAmelCase:    List[int]				,    _lowerCAmelCase:    Optional[List[int]] = None ):
         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     SCREAMING_SNAKE_CASE			(      self:    Tuple				,    _lowerCAmelCase:    List[int]				,    _lowerCAmelCase:    Optional[List[int]] = None ):
         lowercase			:Optional[Any]							=  [self.sep_token_id]
         lowercase			: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     SCREAMING_SNAKE_CASE			(      self:    Optional[Any]				,    _lowerCAmelCase:    Union[str, Any]				,    _lowerCAmelCase:    str				,    _lowerCAmelCase:    Optional[str]				,    _lowerCAmelCase:    Optional[str]				,    **_lowerCAmelCase:    Union[str, Any] ):
         if src_lang is None or tgt_lang is None:
           raise ValueError("Translation requires a `src_lang` and a `tgt_lang` for this model" )
         lowercase			:Tuple							=  src_lang
         lowercase			:List[Any]							=  self(_lowerCAmelCase				,    add_special_tokens=_lowerCAmelCase				,    return_tensors=_lowerCAmelCase				,    **_lowerCAmelCase )
         lowercase			:int							=  self.convert_tokens_to_ids(_lowerCAmelCase )
         lowercase			:Tuple							=  tgt_lang_id
         return inputs






       def     SCREAMING_SNAKE_CASE			(      self:    str				,    _lowerCAmelCase:    List[str]				,    _lowerCAmelCase:    str = "eng_Latn"				,    _lowerCAmelCase:    Optional[List[str]] = None				,    _lowerCAmelCase:    str = "fra_Latn"				,    **_lowerCAmelCase:    str				,    ):
         lowercase			:Union[str, Any]							=  src_lang
         lowercase			:Union[str, Any]							=  tgt_lang
         return super().prepare_seqaseq_batch(_lowerCAmelCase				,    _lowerCAmelCase				,    **_lowerCAmelCase )






       def     SCREAMING_SNAKE_CASE			(      self:    Any ):
         return self.set_src_lang_special_tokens(self.src_lang )






       def     SCREAMING_SNAKE_CASE			(      self:    List[str] ):
         return self.set_tgt_lang_special_tokens(self.tgt_lang )






       def     SCREAMING_SNAKE_CASE			(      self:    Dict				,    _lowerCAmelCase:    int ):
         lowercase			:int							=  self.convert_tokens_to_ids(_lowerCAmelCase )

         if self.legacy_behaviour:
           lowercase			:Dict							=  []
           lowercase			:int							=  [self.eos_token_id, self.cur_lang_code]
         else:
           lowercase			:str							=  [self.cur_lang_code]
           lowercase			:Optional[int]							=  [self.eos_token_id]

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

         lowercase			:Tuple							=  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     SCREAMING_SNAKE_CASE			(      self:    Union[str, Any]				,    _lowerCAmelCase:    str ):
         lowercase			:List[str]							=  self.convert_tokens_to_ids(_lowerCAmelCase )
         if self.legacy_behaviour:
           lowercase			:Optional[Any]							=  []
           lowercase			:int							=  [self.eos_token_id, self.cur_lang_code]
         else:
           lowercase			:Optional[Any]							=  [self.cur_lang_code]
           lowercase			:List[Any]							=  [self.eos_token_id]

         lowercase			:List[Any]							=  self.convert_ids_to_tokens(self.prefix_tokens )
         lowercase			:Any							=  self.convert_ids_to_tokens(self.suffix_tokens )

         lowercase			:Optional[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     SCREAMING_SNAKE_CASE			(      self:    Dict				,    _lowerCAmelCase:    str				,    _lowerCAmelCase:    Optional[str] = None ):
         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(_lowerCAmelCase ):
           logger.error(F"Vocabulary path ({save_directory}) should be a directory." )
           return
         lowercase			:Any							=  os.path.join(
             _lowerCAmelCase				,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )

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

         return (out_vocab_file,)









def 					UpperCAmelCase__     (   lowerCamelCase,	lowerCamelCase,	lowerCamelCase,	lowerCamelCase      ):
  # Return True if there is node that has not iterated.
  lowercase			:Union[str, Any]							=  [False] * len(lowerCamelCase      )
  lowercase			:Union[str, Any]							=  []
  queue.append(lowerCamelCase      )
  lowercase			:Optional[Any]							=  True

  while queue:
    lowercase			:Optional[Any]							=  queue.pop(0      )
    for ind in range(len(graph[u]      )      ):
      if visited[ind] is False and graph[u][ind] > 0:
        queue.append(lowerCamelCase      )
        lowercase			:Dict							=  True
        lowercase			:Dict							=  u

  return visited[t]



def 					UpperCAmelCase__     (   lowerCamelCase,	lowerCamelCase,	lowerCamelCase      ):
  # This array is filled by BFS and to store path
  lowercase			:Optional[int]							=  [-1] * (len(lowerCamelCase      ))
  lowercase			:int							=  0
  while bfs(lowerCamelCase,	lowerCamelCase,	lowerCamelCase,	lowerCamelCase      ):
    lowercase			:int							=  float("Inf"      )
    lowercase			:Any							=  sink

    while s != source:
      # Find the minimum value in select path
      lowercase			:Any							=  min(lowerCamelCase,	graph[parent[s]][s]      )
      lowercase			:Dict							=  parent[s]

    max_flow += path_flow
    lowercase			:Union[str, Any]							=  sink

    while v != source:
      lowercase			:List[Any]							=  parent[v]
      graph[u][v] -= path_flow
      graph[v][u] += path_flow
      lowercase			:Any							=  parent[v]
  return max_flow


_UpperCAmelCase		:  Optional[Any]	=   [
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

_UpperCAmelCase	,	_UpperCAmelCase		:  Any	=   0, 5







print(ford_fulkerson(graph, source, sink))



