
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:
  lowercase  :					Any						    =							None


lowercase  :					str						    =							logging.get_logger(__name__)


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

lowercase  :					Tuple						    =							{
    """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"""
        ),
    },
}

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

# fmt: off
lowercase  :					Tuple						    =							["""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 __snake_case		(      lowerCAmelCase     ):
    _a		:						Dict=				VOCAB_FILES_NAMES
    _a		:						Dict=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _a		:						str=				PRETRAINED_VOCAB_FILES_MAP
    _a		:						Tuple=				["input_ids", "attention_mask"]
    _a		:						int=				NllbTokenizer

    _a		:						List[int]=				[]
    _a		:						List[int]=				[]
    def __init__(  self		,snake_case=None		,snake_case=None		,snake_case="<s>"		,snake_case="</s>"		,snake_case="</s>"		,snake_case="<s>"		,snake_case="<unk>"		,snake_case="<pad>"		,snake_case="<mask>"		,snake_case=None		,snake_case=None		,snake_case=None		,snake_case=False		,**snake_case		,):



           '''simple docstring'''







           lowercase							:     int       	=      AddedToken(snake_case		,lstrip=snake_case		,rstrip=snake_case      ) if isinstance(snake_case		,snake_case      ) else mask_token
           lowercase							:     Dict       	=      legacy_behaviour
           super().__init__(
               vocab_file=snake_case		,tokenizer_file=snake_case		,bos_token=snake_case		,eos_token=snake_case		,sep_token=snake_case		,cls_token=snake_case		,unk_token=snake_case		,pad_token=snake_case		,mask_token=snake_case		,src_lang=snake_case		,tgt_lang=snake_case		,additional_special_tokens=snake_case		,legacy_behaviour=snake_case		,**snake_case		,)

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

           lowercase							:     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}      )
           lowercase							:     List[Any]       	=      {
               lang_code: self.convert_tokens_to_ids(snake_case      ) for lang_code in FAIRSEQ_LANGUAGE_CODES
           }

           lowercase							:     Tuple       	=      src_lang if src_lang is not None else """eng_Latn"""
           lowercase							:     Optional[Any]       	=      self.convert_tokens_to_ids(self._src_lang      )
           lowercase							:     int       	=      tgt_lang
           self.set_src_lang_special_tokens(self._src_lang      )
    @property
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           return self._src_lang
    @src_lang.setter
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







           lowercase							:     Any       	=      new_src_lang
           self.set_src_lang_special_tokens(self._src_lang      )
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case		,snake_case = None      ):



           '''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       _SCREAMING_SNAKE_CASE       (  self		,snake_case		,snake_case = None      ):



           '''simple docstring'''







           lowercase							:     List[Any]       	=      [self.sep_token_id]
           lowercase							:     Optional[Any]       	=      [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		,snake_case		,snake_case		,snake_case		,snake_case		,**snake_case      ):



           '''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"""      )
           lowercase							:     List[Any]       	=      src_lang
           lowercase							:     Dict       	=      self(snake_case		,add_special_tokens=snake_case		,return_tensors=snake_case		,**snake_case      )
           lowercase							:     Optional[int]       	=      self.convert_tokens_to_ids(snake_case      )
           lowercase							:     Optional[Any]       	=      tgt_lang_id
           return inputs
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case		,snake_case = "eng_Latn"		,snake_case = None		,snake_case = "fra_Latn"		,**snake_case		,):



           '''simple docstring'''







           lowercase							:     Tuple       	=      src_lang
           lowercase							:     List[Any]       	=      tgt_lang
           return super().prepare_seqaseq_batch(snake_case		,snake_case		,**snake_case      )
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           return self.set_src_lang_special_tokens(self.src_lang      )
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           return self.set_tgt_lang_special_tokens(self.tgt_lang      )
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







           lowercase							:     Dict       	=      self.convert_tokens_to_ids(snake_case      )

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

           lowercase							:     Union[str, Any]       	=      self.convert_ids_to_tokens(self.prefix_tokens      )
           lowercase							:     Optional[int]       	=      self.convert_ids_to_tokens(self.suffix_tokens      )

           lowercase							:     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       _SCREAMING_SNAKE_CASE       (  self		,snake_case      ):



           '''simple docstring'''







           lowercase							:     List[Any]       	=      self.convert_tokens_to_ids(snake_case      )
           if self.legacy_behaviour:
                  lowercase							:     Union[str, Any]       	=      []
                  lowercase							:     Union[str, Any]       	=      [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							:     Tuple       	=      self.convert_ids_to_tokens(self.suffix_tokens      )

           lowercase							:     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		,snake_case		,snake_case = None      ):



           '''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(snake_case      ):
                  logger.error(f"Vocabulary path ({save_directory}) should be a directory."      )
                  return
           lowercase							:     Tuple       	=      os.path.join(
               snake_case		,(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]      )

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

           return (out_vocab_file,)


import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version







def 						_snake_case(  *SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__ = None					,	SCREAMING_SNAKE_CASE__=True					,	SCREAMING_SNAKE_CASE__=2				) ->    Optional[Any]:
       from .. import __version__

       lowercase							:     int       	=      take_from
       lowercase							:     Tuple       	=      ()
       if not isinstance(args[0]					,	SCREAMING_SNAKE_CASE__				):
              lowercase							:     Dict       	=      (args,)

       for attribute, version_name, message in args:
              if version.parse(version.parse(SCREAMING_SNAKE_CASE__				).base_version				) >= version.parse(SCREAMING_SNAKE_CASE__				):
                     raise ValueError(
                         f"The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers'"
                         f" version {__version__} is >= {version_name}"				)

              lowercase							:     int       	=      None
              if isinstance(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) and attribute in deprecated_kwargs:
                     values += (deprecated_kwargs.pop(SCREAMING_SNAKE_CASE__				),)
                     lowercase							:     Union[str, Any]       	=      f"The `{attribute}` argument is deprecated and will be removed in version {version_name}."
              elif hasattr(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				):
                     values += (getattr(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				),)
                     lowercase							:     int       	=      f"The `{attribute}` attribute is deprecated and will be removed in version {version_name}."
              elif deprecated_kwargs is None:
                     lowercase							:     Dict       	=      f"`{attribute}` is deprecated and will be removed in version {version_name}."

              if warning is not None:
                     lowercase							:     Dict       	=      warning + """ """ if standard_warn else """"""
                     warnings.warn(warning + message					,	SCREAMING_SNAKE_CASE__					,	stacklevel=SCREAMING_SNAKE_CASE__				)

       if isinstance(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) and len(SCREAMING_SNAKE_CASE__				) > 0:
              lowercase							:     str       	=      inspect.getouterframes(inspect.currentframe()				)[1]
              lowercase							:     List[str]       	=      call_frame.filename
              lowercase							:     Tuple       	=      call_frame.lineno
              lowercase							:     List[str]       	=      call_frame.function
              lowercase	,			lowercase							:     Optional[Any]       	=      next(iter(deprecated_kwargs.items()				)				)
              raise TypeError(f"{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`"				)

       if len(SCREAMING_SNAKE_CASE__				) == 0:
              return
       elif len(SCREAMING_SNAKE_CASE__				) == 1:
              return values[0]
       return values
