




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_mbart import MBartTokenizer
else:
 lowerCamelCase    :		Optional[Any]			   =       None


lowerCamelCase    :		List[str]			   =       logging.get_logger(__name__)


lowerCamelCase    :		Dict			   =       {"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

lowerCamelCase    :		int			   =       {
    "vocab_file": {
        "facebook/mbart-large-en-ro": (
            "https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model"
        ),
        "facebook/mbart-large-cc25": (
            "https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model"
        ),
    },
    "tokenizer_file": {
        "facebook/mbart-large-en-ro": "https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/tokenizer.json",
        "facebook/mbart-large-cc25": "https://huggingface.co/facebook/mbart-large-cc25/resolve/main/tokenizer.json",
    },
}

lowerCamelCase    :		Union[str, Any]			   =       {
    "facebook/mbart-large-en-ro": 1_024,
    "facebook/mbart-large-cc25": 1_024,
}

# fmt: off
lowerCamelCase    :		Any			   =       ["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"]







class   A(						UpperCamelCase       ):



 '''simple docstring'''


 UpperCamelCase						       =						VOCAB_FILES_NAMES
 UpperCamelCase						       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCamelCase						       =						PRETRAINED_VOCAB_FILES_MAP
 UpperCamelCase						       =						['''input_ids''', '''attention_mask''']
 UpperCamelCase						       =						MBartTokenizer

 UpperCamelCase						       =						[]
 UpperCamelCase						       =						[]

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

       """simple docstring"""






       lowerCamelCase_							=   AddedToken(A_						,							lstrip=A_						,							rstrip=A_  ) if isinstance(A_						,							A_  ) else mask_token

       super().__init__(
           vocab_file=A_						,							tokenizer_file=A_						,							bos_token=A_						,							eos_token=A_						,							sep_token=A_						,							cls_token=A_						,							unk_token=A_						,							pad_token=A_						,							mask_token=A_						,							src_lang=A_						,							tgt_lang=A_						,							additional_special_tokens=A_						,							**A_						,							)

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

       lowerCamelCase_							=   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}  )
       lowerCamelCase_							=   {
           lang_code: self.convert_tokens_to_ids(A_  ) for lang_code in FAIRSEQ_LANGUAGE_CODES
       }

       lowerCamelCase_							=   src_lang if src_lang is not None else 'en_XX'
       lowerCamelCase_							=   self.convert_tokens_to_ids(self._src_lang  )
       lowerCamelCase_							=   tgt_lang
       self.set_src_lang_special_tokens(self._src_lang  )

 @property
 def     a__			(    self :  str  )       ->     str:

       """simple docstring"""






       return self._src_lang

 @src_lang.setter
 def     a__			(    self :  List[Any]						,							A_ :  str  )       ->     None:

       """simple docstring"""






       lowerCamelCase_							=   new_src_lang
       self.set_src_lang_special_tokens(self._src_lang  )

 def     a__			(    self :  Optional[Any]						,							A_ :  List[int]						,							A_ :  Optional[List[int]] = None  )       ->     List[int]:

       """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						,							A_ :  List[int]						,							A_ :  Optional[List[int]] = None  )       ->     List[int]:

       """simple docstring"""






       lowerCamelCase_							=   [self.sep_token_id]
       lowerCamelCase_							=   [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 :  str						,							A_ :  Tuple						,							A_ :  str						,							A_ :  Optional[str]						,							A_ :  Optional[str]						,							**A_ :  Union[str, Any]  )       ->     Optional[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'  )
       lowerCamelCase_							=   src_lang
       lowerCamelCase_							=   self(A_						,							add_special_tokens=A_						,							return_tensors=A_						,							**A_  )
       lowerCamelCase_							=   self.convert_tokens_to_ids(A_  )
       lowerCamelCase_							=   tgt_lang_id
       return inputs

 def     a__			(    self :  Optional[int]						,							A_ :  List[str]						,							A_ :  str = "en_XX"						,							A_ :  Optional[List[str]] = None						,							A_ :  str = "ro_RO"						,							**A_ :  Optional[int]						,							)       ->     BatchEncoding:

       """simple docstring"""






       lowerCamelCase_							=   src_lang
       lowerCamelCase_							=   tgt_lang
       return super().prepare_seqaseq_batch(A_						,							A_						,							**A_  )

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

       """simple docstring"""






       return self.set_src_lang_special_tokens(self.src_lang  )

 def     a__			(    self :  Tuple  )       ->     Tuple:

       """simple docstring"""






       return self.set_tgt_lang_special_tokens(self.tgt_lang  )

 def     a__			(    self :  int						,							A_ :  Optional[Any]  )       ->     None:

       """simple docstring"""






       lowerCamelCase_							=   self.convert_tokens_to_ids(A_  )
       lowerCamelCase_							=   []
       lowerCamelCase_							=   [self.eos_token_id, self.cur_lang_code]

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

       lowerCamelCase_							=   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 :  Optional[Any]						,							A_ :  str  )       ->     None:

       """simple docstring"""






       lowerCamelCase_							=   self.convert_tokens_to_ids(A_  )
       lowerCamelCase_							=   []
       lowerCamelCase_							=   [self.eos_token_id, self.cur_lang_code]

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

       lowerCamelCase_							=   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 :  List[str]						,							A_ :  str						,							A_ :  Optional[str] = None  )       ->     Tuple[str]:

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

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

       return (out_vocab_file,)









import math

def       _SCREAMING_SNAKE_CASE      (							lowercase     :	int					):


      '''simple docstring'''



      lowerCamelCase_							=   0
      lowerCamelCase_							=   0
      while num > 0:
            lowerCamelCase_							=   num % 8
            lowerCamelCase_							=   octal + (remainder * math.floor(math.pow(10     ,							lowercase					)					))
            counter += 1
            lowerCamelCase_							=   math.floor(num / 8					)  # basically /= 8 without remainder if any
            # This formatting removes trailing '.0' from `octal`.
      return f"""0o{int(lowercase					)}"""

def       _SCREAMING_SNAKE_CASE      (							):


      '''simple docstring'''



      print('\n2 in octal is:'					)
      print(decimal_to_octal(2					)					)  # = 2
      print('\n8 in octal is:'					)
      print(decimal_to_octal(8					)					)  # = 10
      print('\n65 in octal is:'					)
      print(decimal_to_octal(65					)					)  # = 101
      print('\n216 in octal is:'					)
      print(decimal_to_octal(2_16					)					)  # = 330
      print('\n512 in octal is:'					)
      print(decimal_to_octal(5_12					)					)  # = 1000
      print('\n'					)


if __name__ == "__main__":
 main()



