





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:
 lowerCAmelCase_    =    None


lowerCAmelCase_    =    logging.get_logger(__name__)


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

lowerCAmelCase_    =    {
    '''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'''
        ),
    },
}

lowerCAmelCase_    =    {
    '''facebook/nllb-large-en-ro''': 1_0_2_4,
    '''facebook/nllb-200-distilled-600M''': 1_0_2_4,
}

# 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  __lowerCAmelCase	(      __UpperCamelCase					):
   lowerCamelCase_					:					str	      =				VOCAB_FILES_NAMES
   lowerCamelCase_					:					Union[str, Any]	      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCamelCase_					:					Tuple	      =				PRETRAINED_VOCAB_FILES_MAP
   lowerCamelCase_					:					List[Any]	      =				["input_ids", "attention_mask"]
   lowerCamelCase_					:					Dict	      =				NllbTokenizer

   lowerCamelCase_					:					List[int]	      =				[]
   lowerCamelCase_					:					List[int]	      =				[]






   def __init__(self ,							__magic_name__=None ,							__magic_name__=None ,							__magic_name__="<s>" ,							__magic_name__="</s>" ,							__magic_name__="</s>" ,							__magic_name__="<s>" ,							__magic_name__="<unk>" ,							__magic_name__="<pad>" ,							__magic_name__="<mask>" ,							__magic_name__=None ,							__magic_name__=None ,							__magic_name__=None ,							__magic_name__=False ,							**__magic_name__ ,							)					->       int:


       '''simple docstring'''



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

       snake_case_						:   Dict           =  vocab_file
       snake_case_						:   Optional[int]           =  False if not self.vocab_file else True

       snake_case_						:   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}   )
       snake_case_						:   str           =  {
           lang_code: self.convert_tokens_to_ids(_lowerCAmelCase   ) for lang_code in FAIRSEQ_LANGUAGE_CODES
       }

       snake_case_						:   Tuple           =  src_lang if src_lang is not None else """eng_Latn"""
       snake_case_						:   Optional[Any]           =  self.convert_tokens_to_ids(self._src_lang   )
       snake_case_						:   Optional[int]           =  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 ,							__magic_name__   )					->       Any:


       '''simple docstring'''



       snake_case_						:   List[str]           =  new_src_lang
       self.set_src_lang_special_tokens(self._src_lang   )






   def       lowerCamelCase  (self ,							__magic_name__ ,							__magic_name__ = None   )					->       Optional[Any]:


       '''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 ,							__magic_name__ ,							__magic_name__ = None   )					->       List[Any]:


       '''simple docstring'''



       snake_case_						:   List[Any]           =  [self.sep_token_id]
       snake_case_						:   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 ,							__magic_name__ ,							__magic_name__ ,							__magic_name__ ,							__magic_name__ ,							**__magic_name__   )					->       int:


       '''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'''   )
       snake_case_						:   Tuple           =  src_lang
       snake_case_						:   int           =  self(_lowerCAmelCase ,							add_special_tokens=_lowerCAmelCase ,							return_tensors=_lowerCAmelCase ,							**_lowerCAmelCase   )
       snake_case_						:   str           =  self.convert_tokens_to_ids(_lowerCAmelCase   )
       snake_case_						:   Dict           =  tgt_lang_id
       return inputs






   def       lowerCamelCase  (self ,							__magic_name__ ,							__magic_name__ = "eng_Latn" ,							__magic_name__ = None ,							__magic_name__ = "fra_Latn" ,							**__magic_name__ ,							)					->       List[Any]:


       '''simple docstring'''



       snake_case_						:   List[Any]           =  src_lang
       snake_case_						:   Dict           =  tgt_lang
       return super().prepare_seqaseq_batch(_lowerCAmelCase ,							_lowerCAmelCase ,							**_lowerCAmelCase   )






   def       lowerCamelCase  (self   )					->       Optional[Any]:


       '''simple docstring'''



       return self.set_src_lang_special_tokens(self.src_lang   )






   def       lowerCamelCase  (self   )					->       int:


       '''simple docstring'''



       return self.set_tgt_lang_special_tokens(self.tgt_lang   )






   def       lowerCamelCase  (self ,							__magic_name__   )					->       Tuple:


       '''simple docstring'''



       snake_case_						:   Optional[int]           =  self.convert_tokens_to_ids(_lowerCAmelCase   )

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

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

       snake_case_						:   Any           =  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 ,							__magic_name__   )					->       Tuple:


       '''simple docstring'''



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

       snake_case_						:   Tuple           =  self.convert_ids_to_tokens(self.prefix_tokens   )
       snake_case_						:   List[str]           =  self.convert_ids_to_tokens(self.suffix_tokens   )

       snake_case_						:   Union[str, Any]           =  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 ,							__magic_name__ ,							__magic_name__ = None   )					->       Dict:


       '''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(_lowerCAmelCase   ):
           logger.error(F'''Vocabulary path ({save_directory}) should be a directory.'''   )
           return
       snake_case_						:   Union[str, 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,)







from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase_    =    logging.get_logger(__name__)

lowerCAmelCase_    =    {
    '''microsoft/biogpt''': '''https://huggingface.co/microsoft/biogpt/resolve/main/config.json''',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}



class  __lowerCAmelCase	(      _a					):
			lowerCamelCase_					:					Any	      =				'''biogpt'''






			def __init__(self ,							__magic_name__=4_2384 ,							__magic_name__=1024 ,							__magic_name__=24 ,							__magic_name__=16 ,							__magic_name__=4096 ,							__magic_name__="gelu" ,							__magic_name__=0.1 ,							__magic_name__=0.1 ,							__magic_name__=1024 ,							__magic_name__=0.02 ,							__magic_name__=1e-12 ,							__magic_name__=True ,							__magic_name__=True ,							__magic_name__=0.0 ,							__magic_name__=0.0 ,							__magic_name__=1 ,							__magic_name__=0 ,							__magic_name__=2 ,							**__magic_name__ ,							)					->       List[str]:


							'''simple docstring'''



							snake_case_						:   List[str]           =  vocab_size
							snake_case_						:   Dict           =  max_position_embeddings
							snake_case_						:   Optional[int]           =  hidden_size
							snake_case_						:   List[Any]           =  num_hidden_layers
							snake_case_						:   List[str]           =  num_attention_heads
							snake_case_						:   int           =  intermediate_size
							snake_case_						:   List[Any]           =  hidden_act
							snake_case_						:   List[Any]           =  hidden_dropout_prob
							snake_case_						:   Optional[int]           =  attention_probs_dropout_prob
							snake_case_						:   Optional[int]           =  initializer_range
							snake_case_						:   Optional[int]           =  layer_norm_eps
							snake_case_						:   str           =  scale_embedding
							snake_case_						:   Optional[Any]           =  use_cache
							snake_case_						:   Optional[Any]           =  layerdrop
							snake_case_						:   Optional[Any]           =  activation_dropout
							super().__init__(pad_token_id=__magic_name__ ,							bos_token_id=__magic_name__ ,							eos_token_id=__magic_name__ ,							**__magic_name__   )
