

'''simple docstring'''






import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase__   		=      logging.get_logger(__name__)

lowerCAmelCase__   		=      '''▁'''

lowerCAmelCase__   		=      {'''vocab_file''': '''sentencepiece.bpe.model'''}

lowerCAmelCase__   		=      {
    '''vocab_file''': {
        '''facebook/nllb-200-distilled-600M''': (
            '''https://huggingface.co/facebook/nllb-200-distilled-600M/blob/main/sentencepiece.bpe.model'''
        ),
    }
}

lowerCAmelCase__   		=      {
    '''facebook/nllb-200-distilled-600M''': 1024,
}

# fmt: off
lowerCAmelCase__   		=      ['''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      lowercase_      (lowerCamelCase__ ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE       :    Optional[int]							     =     VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE       :    List[str]							     =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE       :    str							     =     PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE       :    Optional[int]							     =     ['input_ids', 'attention_mask']

  SCREAMING_SNAKE_CASE       :    List[int]							     =     []
  SCREAMING_SNAKE_CASE       :    List[int]							     =     []






  def __init__( self  :	List[str]   ,lowercase__  :	Union[str, Any]   ,lowercase__  :	Optional[Any]="<s>"   ,lowercase__  :	str="</s>"   ,lowercase__  :	Union[str, Any]="</s>"   ,lowercase__  :	List[Any]="<s>"   ,lowercase__  :	List[str]="<unk>"   ,lowercase__  :	Dict="<pad>"   ,lowercase__  :	int="<mask>"   ,lowercase__  :	Tuple=None   ,lowercase__  :	List[str]=None   ,lowercase__  :	Union[str, Any]=None   ,lowercase__  :	Optional[Dict[str, Any]] = None   ,lowercase__  :	Any=None   ,lowercase__  :	Any=False   ,**lowercase__  :	Optional[int]   ,):
   # Mask token behave like a normal word, i.e. include the space before it
   __lowercase				    =					AddedToken(lowercase__   ,lstrip=lowercase__   ,rstrip=lowercase__     ) if isinstance(lowercase__   ,lowercase__     ) else mask_token

   __lowercase				    =					{} if sp_model_kwargs is None else sp_model_kwargs
   __lowercase				    =					legacy_behaviour

   super().__init__(
       bos_token=lowercase__   ,eos_token=lowercase__   ,unk_token=lowercase__   ,sep_token=lowercase__   ,cls_token=lowercase__   ,pad_token=lowercase__   ,mask_token=lowercase__   ,tokenizer_file=lowercase__   ,src_lang=lowercase__   ,tgt_lang=lowercase__   ,additional_special_tokens=lowercase__   ,sp_model_kwargs=self.sp_model_kwargs   ,legacy_behaviour=lowercase__   ,**lowercase__   ,)

   __lowercase				    =					spm.SentencePieceProcessor(**self.sp_model_kwargs     )
   self.sp_model.Load(str(lowercase__     )     )
   __lowercase				    =					vocab_file
   # Original fairseq vocab and spm vocab must be "aligned":
   # Vocab    |    0    |    1    |   2    |    3    |  4   |  5   |  6   |   7  |   8  |  9
   # -------- | ------- | ------- | ------ | ------- | ---- | ---- | ---- | ---- | ---- | ----
   # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | 'an' | '▁n' | '▁m' | '▁t' | '▁k' | '▁a'
   # spm      | '<unk>' | '<s>'   | '</s>' | 'an'    | '▁n' | '▁m' | '▁t' | '▁k' | '▁a' | '▁s'

   # Mimic fairseq token-to-id alignment for the first 4 token
   __lowercase				    =					{'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

   # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
   __lowercase				    =					1

   __lowercase				    =					len(self.sp_model     )
   __lowercase				    =					{
       code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(lowercase__     )
   }
   __lowercase				    =					{v: k for k, v in self.lang_code_to_id.items()}
   __lowercase				    =					len(self.sp_model     ) + len(self.lang_code_to_id     ) + self.fairseq_offset

   self.fairseq_tokens_to_ids.update(self.lang_code_to_id     )
   __lowercase				    =					{v: k for k, v in self.fairseq_tokens_to_ids.items()}
   __lowercase				    =					list(self.lang_code_to_id.keys()     )

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

   __lowercase				    =					src_lang if src_lang is not None else '''eng_Latn'''
   __lowercase				    =					self.lang_code_to_id[self._src_lang]
   __lowercase				    =					tgt_lang
   self.set_src_lang_special_tokens(self._src_lang     )






  def __getstate__( self  :	Optional[int]     ):
   __lowercase				    =					self.__dict__.copy()
   __lowercase				    =					None
   __lowercase				    =					self.sp_model.serialized_model_proto()
   return state






  def __setstate__( self  :	Dict   ,lowercase__  :	List[str]     ):
   __lowercase				    =					d

   # for backward compatibility
   if not hasattr(self   ,'''sp_model_kwargs'''     ):
    __lowercase				    =					{}

   __lowercase				    =					spm.SentencePieceProcessor(**self.sp_model_kwargs     )
   self.sp_model.LoadFromSerializedProto(self.sp_model_proto     )






  @property
  def    SCREAMING_SNAKE_CASE ( self  :	Tuple     ):
   return len(self.sp_model     ) + len(self.lang_code_to_id     ) + self.fairseq_offset + 1  # Plus 1 for the mask token






  @property
  def    SCREAMING_SNAKE_CASE ( self  :	Optional[Any]     ):
   return self._src_lang






  @src_lang.setter
  def    SCREAMING_SNAKE_CASE ( self  :	Tuple   ,lowercase__  :	str     ):
   __lowercase				    =					new_src_lang
   self.set_src_lang_special_tokens(self._src_lang     )






  def    SCREAMING_SNAKE_CASE ( self  :	Optional[Any]   ,lowercase__  :	List[int]   ,lowercase__  :	Optional[List[int]] = None   ,lowercase__  :	bool = False     ):

   if already_has_special_tokens:
    return super().get_special_tokens_mask(
        token_ids_a=lowercase__   ,token_ids_a=lowercase__   ,already_has_special_tokens=lowercase__     )

   __lowercase				    =					[1] * len(self.prefix_tokens     )
   __lowercase				    =					[1] * len(self.suffix_tokens     )
   if token_ids_a is None:
    return prefix_ones + ([0] * len(lowercase__     )) + suffix_ones
   return prefix_ones + ([0] * len(lowercase__     )) + ([0] * len(lowercase__     )) + suffix_ones






  def    SCREAMING_SNAKE_CASE ( self  :	Optional[Any]   ,lowercase__  :	List[int]   ,lowercase__  :	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  :	int   ,lowercase__  :	List[int]   ,lowercase__  :	Optional[List[int]] = None     ):
   __lowercase				    =					[self.sep_token_id]
   __lowercase				    =					[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]   ,lowercase__  :	str   ,lowercase__  :	str   ,lowercase__  :	Optional[str]   ,lowercase__  :	Optional[str]   ,**lowercase__  :	str     ):
   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				    =					src_lang
   __lowercase				    =					self(lowercase__   ,add_special_tokens=lowercase__   ,return_tensors=lowercase__   ,**lowercase__     )
   __lowercase				    =					self.convert_tokens_to_ids(lowercase__     )
   __lowercase				    =					tgt_lang_id
   return inputs






  def    SCREAMING_SNAKE_CASE ( self  :	Any     ):
   __lowercase				    =					{self.convert_ids_to_tokens(lowercase__     ): i for i in range(self.vocab_size     )}
   vocab.update(self.added_tokens_encoder     )
   return vocab






  def    SCREAMING_SNAKE_CASE ( self  :	List[Any]   ,lowercase__  :	str     ):
   return self.sp_model.encode(lowercase__   ,out_type=lowercase__     )






  def    SCREAMING_SNAKE_CASE ( self  :	Optional[Any]   ,lowercase__  :	int     ):
   if token in self.fairseq_tokens_to_ids:
    return self.fairseq_tokens_to_ids[token]
   __lowercase				    =					self.sp_model.PieceToId(lowercase__     )

   # Need to return unknown token if the SP model returned 0
   return spm_id + self.fairseq_offset if spm_id else self.unk_token_id






  def    SCREAMING_SNAKE_CASE ( self  :	str   ,lowercase__  :	Tuple     ):
   if index in self.fairseq_ids_to_tokens:
    return self.fairseq_ids_to_tokens[index]
   return self.sp_model.IdToPiece(index - self.fairseq_offset     )






  def    SCREAMING_SNAKE_CASE ( self  :	Optional[int]   ,lowercase__  :	Tuple     ):
   __lowercase				    =					''''''.join(lowercase__     ).replace(lowercase__   ,''' '''     ).strip()
   return out_string






  def    SCREAMING_SNAKE_CASE ( self  :	int   ,lowercase__  :	str   ,lowercase__  :	Optional[str] = None     ):
   if not os.path.isdir(lowercase__     ):
    logger.error(F"Vocabulary path ({save_directory}) should be a directory"     )
    return
   __lowercase				    =					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__     ) and os.path.isfile(self.vocab_file     ):
    copyfile(self.vocab_file   ,lowercase__     )
   elif not os.path.isfile(self.vocab_file     ):
    with open(lowercase__   ,'''wb'''     ) as fi:
     __lowercase				    =					self.sp_model.serialized_model_proto()
     fi.write(lowercase__     )

   return (out_vocab_file,)






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






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






  def    SCREAMING_SNAKE_CASE ( self  :	Optional[Any]     ):
   return self.set_tgt_lang_special_tokens(self.tgt_lang     )






  def    SCREAMING_SNAKE_CASE ( self  :	Any   ,lowercase__  :	Optional[Any]     ):
   __lowercase				    =					self.lang_code_to_id[src_lang]
   if self.legacy_behaviour:
    __lowercase				    =					[]
    __lowercase				    =					[self.eos_token_id, self.cur_lang_code]
   else:
    __lowercase				    =					[self.cur_lang_code]
    __lowercase				    =					[self.eos_token_id]






  def    SCREAMING_SNAKE_CASE ( self  :	List[Any]   ,lowercase__  :	str     ):
   __lowercase				    =					self.lang_code_to_id[lang]
   if self.legacy_behaviour:
    __lowercase				    =					[]
    __lowercase				    =					[self.eos_token_id, self.cur_lang_code]
   else:
    __lowercase				    =					[self.cur_lang_code]
    __lowercase				    =					[self.eos_token_id]








from typing import Any



def 						A_							(	_lowerCAmelCase	)		->					list[Any]:
 if not input_list:
  return []
 UpperCamelCase      :   List[str]			      =  [input_list.count(_lowerCAmelCase	) for value in input_list]
 UpperCamelCase      :   Dict			      =  max(_lowerCAmelCase	)  # Gets the maximum count in the input list.
 # Gets values of modes
 return sorted({input_list[i] for i, value in enumerate(_lowerCAmelCase	) if value == y}	)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
