






'''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_nllb import NllbTokenizer
else:
      SCREAMING_SNAKE_CASE							=						None


SCREAMING_SNAKE_CASE							=						logging.get_logger(__name__)


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

SCREAMING_SNAKE_CASE							=						{
    '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'
        ),
    },
}

SCREAMING_SNAKE_CASE							=						{
    'facebook/nllb-large-en-ro': 1_024,
    'facebook/nllb-200-distilled-600M': 1_024,
}

# fmt: off
SCREAMING_SNAKE_CASE							=						['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 UpperCAmelCase_       (     _a					):




      """simple docstring"""




      UpperCamelCase_             =      VOCAB_FILES_NAMES
      UpperCamelCase_             =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase_             =      PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase_             =      ['''input_ids''', '''attention_mask''']
      UpperCamelCase_             =      NllbTokenizer

      UpperCamelCase_             =      []
      UpperCamelCase_             =      []






      def __init__(			self      :		List[str]  ,   UpperCAmelCase      :		int=None  ,   UpperCAmelCase      :		Optional[int]=None  ,   UpperCAmelCase      :		Dict="<s>"  ,   UpperCAmelCase      :		Optional[Any]="</s>"  ,   UpperCAmelCase      :		Union[str, Any]="</s>"  ,   UpperCAmelCase      :		Optional[int]="<s>"  ,   UpperCAmelCase      :		Any="<unk>"  ,   UpperCAmelCase      :		Tuple="<pad>"  ,   UpperCAmelCase      :		Any="<mask>"  ,   UpperCAmelCase      :		Union[str, Any]=None  ,   UpperCAmelCase      :		Tuple=None  ,   UpperCAmelCase      :		Union[str, Any]=None  ,   UpperCAmelCase      :		Optional[int]=False  ,   **UpperCAmelCase      :		List[Any]  ,   )	->	Union[str, Any]:


       '''simple docstring'''

       lowercase       : Any						=AddedToken(snake_case_  ,   lstrip=snake_case_  ,   rstrip=snake_case_		) if isinstance(snake_case_  ,   snake_case_		) else mask_token
       lowercase       : str						=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       : Optional[Any]						=vocab_file
       lowercase       : str						=False if not self.vocab_file else True

       lowercase       : List[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(snake_case_		) for lang_code in FAIRSEQ_LANGUAGE_CODES
       }

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






      @property
      def 					A__   (			self      :		str		)	->	Tuple:


       '''simple docstring'''

       return self._src_lang






      @src_lang.setter
      def 					A__   (			self      :		str  ,   UpperCAmelCase      :		str		)	->	Optional[Any]:


       '''simple docstring'''

       lowercase       : Any						=new_src_lang
       self.set_src_lang_special_tokens(self._src_lang		)






      def 					A__   (			self      :		int  ,   UpperCAmelCase      :		List[int]  ,   UpperCAmelCase      :		Optional[List[int]] = None		)	->	Dict:


       '''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 					A__   (			self      :		Any  ,   UpperCAmelCase      :		List[int]  ,   UpperCAmelCase      :		Optional[List[int]] = None		)	->	List[Any]:


       '''simple docstring'''

       lowercase       : int						=[self.sep_token_id]
       lowercase       : Optional[int]						=[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 					A__   (			self      :		List[str]  ,   UpperCAmelCase      :		str  ,   UpperCAmelCase      :		str  ,   UpperCAmelCase      :		Optional[str]  ,   UpperCAmelCase      :		Optional[str]  ,   **UpperCAmelCase      :		List[Any]		)	->	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'''		)
       lowercase       : Any						=src_lang
       lowercase       : str						=self(snake_case_  ,   add_special_tokens=snake_case_  ,   return_tensors=snake_case_  ,   **snake_case_		)
       lowercase       : Dict						=self.convert_tokens_to_ids(snake_case_		)
       lowercase       : str						=tgt_lang_id
       return inputs






      def 					A__   (			self      :		int  ,   UpperCAmelCase      :		List[str]  ,   UpperCAmelCase      :		str = "eng_Latn"  ,   UpperCAmelCase      :		Optional[List[str]] = None  ,   UpperCAmelCase      :		str = "fra_Latn"  ,   **UpperCAmelCase      :		str  ,   )	->	List[str]:


       '''simple docstring'''

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






      def 					A__   (			self      :		List[str]		)	->	List[Any]:


       '''simple docstring'''

       return self.set_src_lang_special_tokens(self.src_lang		)






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


       '''simple docstring'''

       return self.set_tgt_lang_special_tokens(self.tgt_lang		)






      def 					A__   (			self      :		Optional[Any]  ,   UpperCAmelCase      :		List[str]		)	->	Any:


       '''simple docstring'''

       lowercase       : List[Any]						=self.convert_tokens_to_ids(snake_case_		)

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

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

       lowercase       : 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 					A__   (			self      :		int  ,   UpperCAmelCase      :		str		)	->	List[str]:


       '''simple docstring'''

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

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

       lowercase       : List[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 					A__   (			self      :		str  ,   UpperCAmelCase      :		str  ,   UpperCAmelCase      :		Optional[str] = None		)	->	Any:


       '''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       : Dict						=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,)








'''simple docstring'''





import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


__a  			=						importlib.util.find_spec("s3fs") is not None

if _has_safs:
       from .safilesystem import SaFileSystem  # noqa: F401

__a  			=						[
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
       if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
              warnings.warn(F"A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.")
       fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)





def 		__snake_case(							_lowerCAmelCase						)						->					str:
      if "://" in dataset_path:
            snake_case__    :       Tuple       		= dataset_path.split("""://"""						)[1]
      return dataset_path





def 		__snake_case(							_lowerCAmelCase						)						->					bool:
      if fs is not None and fs.protocol != "file":
            return True
      else:
            return False





def 		__snake_case(							_lowerCAmelCase	,  _lowerCAmelCase	,  _lowerCAmelCase						)						->					Optional[int]:
      snake_case__    :       int       		= not is_remote_filesystem(_lowerCAmelCase						)
      if is_local:
            # LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
            shutil.move(fs._strip_protocol(_lowerCAmelCase						)	,  fs._strip_protocol(_lowerCAmelCase						)						)
      else:
            fs.mv(_lowerCAmelCase	,  _lowerCAmelCase	,  recursive=_lowerCAmelCase						)





def 		__snake_case(							)						->					None:
      if hasattr(fsspec.asyn	,  """reset_lock"""						):
            # for future fsspec>2022.05.0
            fsspec.asyn.reset_lock()
      else:
            snake_case__    :       Dict       		= None
            snake_case__    :       List[str]       		= None
            snake_case__    :       Union[str, Any]       		= threading.Lock()
