






"""simple docstring"""







import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase_		:			Optional[int]				   =					logging.get_logger(__name__)

lowerCAmelCase_		:			Any				   =					{
    '''src_vocab_file''': '''vocab-src.json''',
    '''tgt_vocab_file''': '''vocab-tgt.json''',
    '''merges_file''': '''merges.txt''',
}

lowerCAmelCase_		:			List[str]				   =					{
    '''src_vocab_file''': {
        '''stas/tiny-wmt19-en-de''': '''https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json'''
    },
    '''tgt_vocab_file''': {
        '''stas/tiny-wmt19-en-de''': '''https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json'''
    },
    '''merges_file''': {'''stas/tiny-wmt19-en-de''': '''https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt'''},
}

lowerCAmelCase_		:			Optional[Any]				   =					{'''stas/tiny-wmt19-en-de''': 1_0_2_4}
lowerCAmelCase_		:			List[str]				   =					{
    '''stas/tiny-wmt19-en-de''': {
        '''langs''': ['''en''', '''de'''],
        '''model_max_length''': 1_0_2_4,
        '''special_tokens_map_file''': None,
        '''full_tokenizer_file''': None,
    }
}






def 					_lowerCAmelCase				(					lowerCAmelCase						):







       '''simple docstring'''
       UpperCAmelCase					=	set()
       UpperCAmelCase					=	word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)						)
              UpperCAmelCase					=	char
       return pairs






def 					_lowerCAmelCase				(					lowerCAmelCase						):







       '''simple docstring'''
       UpperCAmelCase					=	text.replace("""，"""		,					""","""						)
       UpperCAmelCase					=	re.sub(r"""。\s*"""		,					""". """		,					lowerCAmelCase						)
       UpperCAmelCase					=	text.replace("""、"""		,					""","""						)
       UpperCAmelCase					=	text.replace("""”"""		,					"""\""""						)
       UpperCAmelCase					=	text.replace("""“"""		,					"""\""""						)
       UpperCAmelCase					=	text.replace("""∶"""		,					""":"""						)
       UpperCAmelCase					=	text.replace("""："""		,					""":"""						)
       UpperCAmelCase					=	text.replace("""？"""		,					"""?"""						)
       UpperCAmelCase					=	text.replace("""《"""		,					"""\""""						)
       UpperCAmelCase					=	text.replace("""》"""		,					"""\""""						)
       UpperCAmelCase					=	text.replace("""）"""		,					""")"""						)
       UpperCAmelCase					=	text.replace("""！"""		,					"""!"""						)
       UpperCAmelCase					=	text.replace("""（"""		,					"""("""						)
       UpperCAmelCase					=	text.replace("""；"""		,					""";"""						)
       UpperCAmelCase					=	text.replace("""１"""		,					"""1"""						)
       UpperCAmelCase					=	text.replace("""」"""		,					"""\""""						)
       UpperCAmelCase					=	text.replace("""「"""		,					"""\""""						)
       UpperCAmelCase					=	text.replace("""０"""		,					"""0"""						)
       UpperCAmelCase					=	text.replace("""３"""		,					"""3"""						)
       UpperCAmelCase					=	text.replace("""２"""		,					"""2"""						)
       UpperCAmelCase					=	text.replace("""５"""		,					"""5"""						)
       UpperCAmelCase					=	text.replace("""６"""		,					"""6"""						)
       UpperCAmelCase					=	text.replace("""９"""		,					"""9"""						)
       UpperCAmelCase					=	text.replace("""７"""		,					"""7"""						)
       UpperCAmelCase					=	text.replace("""８"""		,					"""8"""						)
       UpperCAmelCase					=	text.replace("""４"""		,					"""4"""						)
       UpperCAmelCase					=	re.sub(r"""．\s*"""		,					""". """		,					lowerCAmelCase						)
       UpperCAmelCase					=	text.replace("""～"""		,					"""~"""						)
       UpperCAmelCase					=	text.replace("""’"""		,					"""'"""						)
       UpperCAmelCase					=	text.replace("""…"""		,					"""..."""						)
       UpperCAmelCase					=	text.replace("""━"""		,					"""-"""						)
       UpperCAmelCase					=	text.replace("""〈"""		,					"""<"""						)
       UpperCAmelCase					=	text.replace("""〉"""		,					""">"""						)
       UpperCAmelCase					=	text.replace("""【"""		,					"""["""						)
       UpperCAmelCase					=	text.replace("""】"""		,					"""]"""						)
       UpperCAmelCase					=	text.replace("""％"""		,					"""%"""						)
       return text






def 					_lowerCAmelCase				(					lowerCAmelCase						):







       '''simple docstring'''
       UpperCAmelCase					=	[]
       for char in text:
              UpperCAmelCase					=	unicodedata.category(lowerCAmelCase						)
              if cat.startswith("""C"""						):
                     continue
              output.append(lowerCAmelCase						)
       return "".join(lowerCAmelCase						)





class      UpperCamelCase_       (				a_     ):
  _A				:    str =		VOCAB_FILES_NAMES
  _A				:    str =		PRETRAINED_VOCAB_FILES_MAP
  _A				:    List[Any] =		PRETRAINED_INIT_CONFIGURATION
  _A				:    List[Any] =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _A				:    Dict =		['input_ids', 'attention_mask']



  def __init__(					self       ,						snake_case__=None       ,						snake_case__=None       ,						snake_case__=None       ,						snake_case__=None       ,						snake_case__=False       ,						snake_case__="<unk>"       ,						snake_case__="<s>"       ,						snake_case__="</s>"       ,						snake_case__="<pad>"       ,						**snake_case__       ,						)	->	Optional[int]:



         """simple docstring"""





         super().__init__(
             langs=snake_case__       ,						src_vocab_file=snake_case__       ,						tgt_vocab_file=snake_case__       ,						merges_file=snake_case__       ,						do_lower_case=snake_case__       ,						unk_token=snake_case__       ,						bos_token=snake_case__       ,						sep_token=snake_case__       ,						pad_token=snake_case__       ,						**snake_case__       ,						)

         try:
                import sacremoses
         except ImportError:
                raise ImportError(
                    """You need to install sacremoses to use XLMTokenizer. """
                    """See https://pypi.org/project/sacremoses/ for installation.""" )

         UpperCAmelCase					=	sacremoses

         UpperCAmelCase					=	src_vocab_file
         UpperCAmelCase					=	tgt_vocab_file
         UpperCAmelCase					=	merges_file
         UpperCAmelCase					=	do_lower_case

         # cache of sm.MosesPunctNormalizer instance
         UpperCAmelCase					=	{}
         # cache of sm.MosesTokenizer instance
         UpperCAmelCase					=	{}
         UpperCAmelCase					=	{}

         if langs and len(snake_case__ ) == 2:
                UpperCAmelCase			,				UpperCAmelCase					=	langs
         else:
                raise ValueError(
                    f'''arg `langs` needs to be a list of 2 langs, e.g. [\'en\', \'ru\'], but got {langs}. '''
                    """Usually that means that tokenizer can't find a mapping for the given model path """
                    """in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer.""" )

         with open(snake_case__       ,						encoding="""utf-8""" ) as src_vocab_handle:
                UpperCAmelCase					=	json.load(snake_case__ )
         with open(snake_case__       ,						encoding="""utf-8""" ) as tgt_vocab_handle:
                UpperCAmelCase					=	json.load(snake_case__ )
                UpperCAmelCase					=	{v: k for k, v in tgt_vocab.items()}
         with open(snake_case__       ,						encoding="""utf-8""" ) as merges_handle:
                UpperCAmelCase					=	merges_handle.read().split("""\n""" )[:-1]
         UpperCAmelCase					=	[tuple(merge.split()[:2] ) for merge in merges]
         UpperCAmelCase					=	dict(zip(snake_case__       ,						range(len(snake_case__ ) ) ) )
         UpperCAmelCase					=	{}



  def 						UpperCamelCase_ (					self )	->	Dict[str, int]:



         """simple docstring"""





         return self.get_src_vocab()



  @property
  def 						UpperCamelCase_ (					self )	->	int:



         """simple docstring"""





         return self.src_vocab_size



  def 						UpperCamelCase_ (					self       ,						snake_case__       ,						snake_case__ )	->	Optional[Any]:



         """simple docstring"""





         if lang not in self.cache_moses_punct_normalizer:
                UpperCAmelCase					=	self.sm.MosesPunctNormalizer(lang=snake_case__ )
                UpperCAmelCase					=	punct_normalizer
         return self.cache_moses_punct_normalizer[lang].normalize(snake_case__ )



  def 						UpperCamelCase_ (					self       ,						snake_case__       ,						snake_case__ )	->	Union[str, Any]:



         """simple docstring"""





         if lang not in self.cache_moses_tokenizer:
                UpperCAmelCase					=	self.sm.MosesTokenizer(lang=snake_case__ )
                UpperCAmelCase					=	moses_tokenizer
         return self.cache_moses_tokenizer[lang].tokenize(
             snake_case__       ,						aggressive_dash_splits=snake_case__       ,						return_str=snake_case__       ,						escape=snake_case__ )



  def 						UpperCamelCase_ (					self       ,						snake_case__       ,						snake_case__ )	->	Optional[Any]:



         """simple docstring"""





         if lang not in self.cache_moses_detokenizer:
                UpperCAmelCase					=	self.sm.MosesDetokenizer(lang=snake_case__ )
                UpperCAmelCase					=	moses_detokenizer
         return self.cache_moses_detokenizer[lang].detokenize(snake_case__ )



  def 						UpperCamelCase_ (					self       ,						snake_case__       ,						snake_case__ )	->	List[Any]:



         """simple docstring"""





         UpperCAmelCase					=	replace_unicode_punct(snake_case__ )
         UpperCAmelCase					=	self.moses_punct_norm(snake_case__       ,						snake_case__ )
         UpperCAmelCase					=	remove_non_printing_char(snake_case__ )
         return text



  @property
  def 						UpperCamelCase_ (					self )	->	Optional[int]:



         """simple docstring"""





         return len(self.encoder )



  @property
  def 						UpperCamelCase_ (					self )	->	str:



         """simple docstring"""





         return len(self.decoder )



  def 						UpperCamelCase_ (					self )	->	Any:



         """simple docstring"""





         return dict(self.encoder       ,						**self.added_tokens_encoder )



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



         """simple docstring"""





         return dict(self.decoder       ,						**self.added_tokens_decoder )



  def 						UpperCamelCase_ (					self       ,						snake_case__ )	->	Union[str, Any]:



         """simple docstring"""





         UpperCAmelCase					=	tuple(token[:-1] ) + (token[-1] + """</w>""",)
         if token in self.cache:
                return self.cache[token]
         UpperCAmelCase					=	get_pairs(snake_case__ )

         if not pairs:
                return token + "</w>"

         while True:
                UpperCAmelCase					=	min(snake_case__       ,						key=lambda snake_case__ : self.bpe_ranks.get(snake_case__       ,						float("""inf""" ) ) )
                if bigram not in self.bpe_ranks:
                       break
                UpperCAmelCase			,				UpperCAmelCase					=	bigram
                UpperCAmelCase					=	[]
                UpperCAmelCase					=	0
                while i < len(snake_case__ ):
                       try:
                              UpperCAmelCase					=	word.index(snake_case__       ,						snake_case__ )
                       except ValueError:
                              new_word.extend(word[i:] )
                              break
                       else:
                              new_word.extend(word[i:j] )
                              UpperCAmelCase					=	j

                       if word[i] == first and i < len(snake_case__ ) - 1 and word[i + 1] == second:
                              new_word.append(first + second )
                              i += 2
                       else:
                              new_word.append(word[i] )
                              i += 1
                UpperCAmelCase					=	tuple(snake_case__ )
                UpperCAmelCase					=	new_word
                if len(snake_case__ ) == 1:
                       break
                else:
                       UpperCAmelCase					=	get_pairs(snake_case__ )
         UpperCAmelCase					=	""" """.join(snake_case__ )
         if word == "\n  </w>":
                UpperCAmelCase					=	"""\n</w>"""
         UpperCAmelCase					=	word
         return word



  def 						UpperCamelCase_ (					self       ,						snake_case__       ,						snake_case__="en"       ,						snake_case__=False )	->	Any:



         """simple docstring"""





         UpperCAmelCase					=	self.src_lang

         if self.do_lower_case:
                UpperCAmelCase					=	text.lower()

         if bypass_tokenizer:
                UpperCAmelCase					=	text.split()
         else:
                UpperCAmelCase					=	self.moses_pipeline(snake_case__       ,						lang=snake_case__ )
                UpperCAmelCase					=	self.moses_tokenize(snake_case__       ,						lang=snake_case__ )

         UpperCAmelCase					=	[]
         for token in text:
                if token:
                       split_tokens.extend(list(self.bpe(snake_case__ ).split(""" """ ) ) )

         return split_tokens



  def 						UpperCamelCase_ (					self       ,						snake_case__ )	->	Optional[int]:



         """simple docstring"""





         return self.encoder.get(snake_case__       ,						self.encoder.get(self.unk_token ) )



  def 						UpperCamelCase_ (					self       ,						snake_case__ )	->	List[Any]:



         """simple docstring"""





         return self.decoder.get(snake_case__       ,						self.unk_token )



  def 						UpperCamelCase_ (					self       ,						snake_case__ )	->	Optional[int]:



         """simple docstring"""





         UpperCAmelCase					=	[t.replace(""" """       ,						"""""" ).replace("""</w>"""       ,						""" """ ) for t in tokens]
         UpperCAmelCase					=	"""""".join(snake_case__ ).split()
         # detokenize
         UpperCAmelCase					=	self.moses_detokenize(snake_case__       ,						self.tgt_lang )
         return text



  def 						UpperCamelCase_ (					self       ,						snake_case__       ,						snake_case__ = None )	->	List[int]:



         """simple docstring"""





         UpperCAmelCase					=	[self.sep_token_id]

         # no bos used in fairseq
         if token_ids_a is None:
                return token_ids_a + sep
         return token_ids_a + sep + token_ids_a + sep



  def 						UpperCamelCase_ (					self       ,						snake_case__       ,						snake_case__ = None       ,						snake_case__ = False )	->	List[int]:



         """simple docstring"""





         if already_has_special_tokens:
                return super().get_special_tokens_mask(
                    token_ids_a=snake_case__       ,						token_ids_a=snake_case__       ,						already_has_special_tokens=snake_case__ )
         # no bos used in fairseq
         if token_ids_a is not None:
                return ([0] * len(snake_case__ )) + [1] + ([0] * len(snake_case__ )) + [1]
         return ([0] * len(snake_case__ )) + [1]



  def 						UpperCamelCase_ (					self       ,						snake_case__       ,						snake_case__ = None )	->	List[int]:



         """simple docstring"""





         UpperCAmelCase					=	[self.sep_token_id]

         # no bos used in fairseq
         if token_ids_a is None:
                return len(token_ids_a + sep ) * [0]
         return len(token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1]



  def 						UpperCamelCase_ (					self       ,						snake_case__       ,						snake_case__ = None )	->	Tuple[str]:



         """simple docstring"""





         if not os.path.isdir(snake_case__ ):
                logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
                return

         UpperCAmelCase					=	os.path.join(
             snake_case__       ,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""src_vocab_file"""] )
         UpperCAmelCase					=	os.path.join(
             snake_case__       ,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""tgt_vocab_file"""] )
         UpperCAmelCase					=	os.path.join(
             snake_case__       ,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""] )

         with open(snake_case__       ,						"""w"""       ,						encoding="""utf-8""" ) as f:
                f.write(json.dumps(self.encoder       ,						indent=2       ,						sort_keys=snake_case__       ,						ensure_ascii=snake_case__ ) + """\n""" )

         with open(snake_case__       ,						"""w"""       ,						encoding="""utf-8""" ) as f:
                UpperCAmelCase					=	{v: k for k, v in self.decoder.items()}
                f.write(json.dumps(snake_case__       ,						indent=2       ,						sort_keys=snake_case__       ,						ensure_ascii=snake_case__ ) + """\n""" )

         UpperCAmelCase					=	0
         with open(snake_case__       ,						"""w"""       ,						encoding="""utf-8""" ) as writer:
                for bpe_tokens, token_index in sorted(self.bpe_ranks.items()       ,						key=lambda snake_case__ : kv[1] ):
                       if index != token_index:
                              logger.warning(
                                  f'''Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'''
                                  """ Please check that the tokenizer is not corrupted!""" )
                              UpperCAmelCase					=	token_index
                       writer.write(""" """.join(snake_case__ ) + """\n""" )
                       index += 1

         return src_vocab_file, tgt_vocab_file, merges_file



  def __getstate__(					self )	->	List[str]:



         """simple docstring"""





         UpperCAmelCase					=	self.__dict__.copy()
         UpperCAmelCase					=	None
         return state



  def __setstate__(					self       ,						snake_case__ )	->	int:



         """simple docstring"""





         UpperCAmelCase					=	d

         try:
                import sacremoses
         except ImportError:
                raise ImportError(
                    """You need to install sacremoses to use XLMTokenizer. """
                    """See https://pypi.org/project/sacremoses/ for installation.""" )

         UpperCAmelCase					=	sacremoses


"""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_mbartaa import MBartaaTokenizer
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/mbart-large-50-one-to-many-mmt''': (
            '''https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/sentencepiece.bpe.model'''
        ),
    },
    '''tokenizer_file''': {
        '''facebook/mbart-large-50-one-to-many-mmt''': (
            '''https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/tokenizer.json'''
        ),
    },
}

SCREAMING_SNAKE_CASE_			    =  {
    '''facebook/mbart-large-50-one-to-many-mmt''': 1024,
}

# fmt: off
SCREAMING_SNAKE_CASE_			    =  ['''ar_AR''', '''cs_CZ''', '''de_DE''', '''en_XX''', '''es_XX''', '''et_EE''', '''fi_FI''', '''fr_XX''', '''gu_IN''', '''hi_IN''', '''it_IT''', '''ja_XX''', '''kk_KZ''', '''ko_KR''', '''lt_LT''', '''lv_LV''', '''my_MM''', '''ne_NP''', '''nl_XX''', '''ro_RO''', '''ru_RU''', '''si_LK''', '''tr_TR''', '''vi_VN''', '''zh_CN''', '''af_ZA''', '''az_AZ''', '''bn_IN''', '''fa_IR''', '''he_IL''', '''hr_HR''', '''id_ID''', '''ka_GE''', '''km_KH''', '''mk_MK''', '''ml_IN''', '''mn_MN''', '''mr_IN''', '''pl_PL''', '''ps_AF''', '''pt_XX''', '''sv_SE''', '''sw_KE''', '''ta_IN''', '''te_IN''', '''th_TH''', '''tl_XX''', '''uk_UA''', '''ur_PK''', '''xh_ZA''', '''gl_ES''', '''sl_SI''']
class    _UpperCAmelCase							(						SCREAMING_SNAKE_CASE_							):
      __SCREAMING_SNAKE_CASE      :							Tuple												=		VOCAB_FILES_NAMES
      __SCREAMING_SNAKE_CASE      :							Tuple												=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __SCREAMING_SNAKE_CASE      :							Tuple												=		PRETRAINED_VOCAB_FILES_MAP
      __SCREAMING_SNAKE_CASE      :							Optional[Any]												=		["input_ids", "attention_mask"]
      __SCREAMING_SNAKE_CASE      :							Union[str, Any]												=		MBartaaTokenizer

      __SCREAMING_SNAKE_CASE      :							List[int]												=		[]
      __SCREAMING_SNAKE_CASE      :							List[int]												=		[]




      def __init__(							self      ,				lowercase_=None      ,				lowercase_=None      ,				lowercase_=None      ,				lowercase_=None      ,				lowercase_="</s>"      ,				lowercase_="</s>"      ,				lowercase_="<s>"      ,				lowercase_="<unk>"      ,				lowercase_="<pad>"      ,				lowercase_="<mask>"      ,				**lowercase_      ,				)  ->    Tuple:
          # Mask token behave like a normal word, i.e. include the space before it
          UpperCAmelCase  	=    AddedToken(lowercase_      ,				lstrip=lowercase_      ,				rstrip=lowercase_							) if isinstance(lowercase_      ,				lowercase_							) else mask_token

          UpperCAmelCase  	=    kwargs.get('additional_special_tokens'      ,				[]							)
          kwargs["additional_special_tokens"] += [
              code for code in FAIRSEQ_LANGUAGE_CODES if code not in kwargs["additional_special_tokens"]
          ]

          super().__init__(
              lowercase_      ,				src_lang=lowercase_      ,				tgt_lang=lowercase_      ,				tokenizer_file=lowercase_      ,				eos_token=lowercase_      ,				sep_token=lowercase_      ,				cls_token=lowercase_      ,				unk_token=lowercase_      ,				pad_token=lowercase_      ,				mask_token=lowercase_      ,				**lowercase_      ,				)

          UpperCAmelCase  	=    vocab_file
          UpperCAmelCase  	=    False if not self.vocab_file else True

          UpperCAmelCase  	=    {
              lang_code: self.convert_tokens_to_ids(lowercase_							) for lang_code in FAIRSEQ_LANGUAGE_CODES
          }

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




      @property
      def 			a_					(							self							)  ->    str:
          return self._src_lang




      @src_lang.setter
      def 			a_					(							self      ,				lowercase_							)  ->    None:
          UpperCAmelCase  	=    new_src_lang
          self.set_src_lang_special_tokens(self._src_lang							)




      def 			a_					(							self      ,				lowercase_      ,				lowercase_ = None							)  ->    List[int]:
          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      ,				lowercase_      ,				lowercase_ = "en_XX"      ,				lowercase_ = None      ,				lowercase_ = "ro_RO"      ,				**lowercase_      ,				)  ->    BatchEncoding:
          UpperCAmelCase  	=    src_lang
          UpperCAmelCase  	=    tgt_lang
          return super().prepare_seqaseq_batch(lowercase_      ,				lowercase_      ,				**lowercase_							)




      def 			a_					(							self							)  ->    Optional[int]:
          return self.set_src_lang_special_tokens(self.src_lang							)




      def 			a_					(							self							)  ->    List[Any]:
          return self.set_tgt_lang_special_tokens(self.tgt_lang							)




      def 			a_					(							self      ,				lowercase_							)  ->    None:
          UpperCAmelCase  	=    self.convert_tokens_to_ids(lowercase_							)
          UpperCAmelCase  	=    [self.cur_lang_code_id]
          UpperCAmelCase  	=    [self.eos_token_id]

          UpperCAmelCase  	=    self.convert_ids_to_tokens(self.prefix_tokens							)
          UpperCAmelCase  	=    self.convert_ids_to_tokens(self.suffix_tokens							)

          UpperCAmelCase  	=    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      ,				lowercase_							)  ->    None:
          UpperCAmelCase  	=    self.convert_tokens_to_ids(lowercase_							)
          UpperCAmelCase  	=    [self.cur_lang_code_id]
          UpperCAmelCase  	=    [self.eos_token_id]

          UpperCAmelCase  	=    self.convert_ids_to_tokens(self.prefix_tokens							)
          UpperCAmelCase  	=    self.convert_ids_to_tokens(self.suffix_tokens							)

          UpperCAmelCase  	=    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      ,				lowercase_      ,				lowercase_      ,				lowercase_      ,				lowercase_      ,				**lowercase_							)  ->    int:
          if src_lang is None or tgt_lang is None:
              raise ValueError('Translation requires a `src_lang` and a `tgt_lang` for this model'							)
          UpperCAmelCase  	=    src_lang
          UpperCAmelCase  	=    self(lowercase_      ,				add_special_tokens=lowercase_      ,				return_tensors=lowercase_      ,				**lowercase_							)
          UpperCAmelCase  	=    self.convert_tokens_to_ids(lowercase_							)
          UpperCAmelCase  	=    tgt_lang_id
          return inputs




      def 			a_					(							self      ,				lowercase_      ,				lowercase_ = None							)  ->    Tuple[str]:
          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(lowercase_							):
              logger.error(F"Vocabulary path ({save_directory}) should be a directory"							)
              return
          UpperCAmelCase  	=    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_							):
              copyfile(self.vocab_file      ,				lowercase_							)

          return (out_vocab_file,)



