





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:
  _snake_case           =			None


_snake_case           =			logging.get_logger(__name__)


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

_snake_case           =			{
    """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""",
    },
}

_snake_case           =			{
    """facebook/mbart-large-en-ro""": 1024,
    """facebook/mbart-large-cc25""": 1024,
}

# fmt: off
_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"""]





class  lowerCAmelCase							(       lowercase_ ):
  __lowerCamelCase		=      VOCAB_FILES_NAMES
  __lowerCamelCase		=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __lowerCamelCase		=      PRETRAINED_VOCAB_FILES_MAP
  __lowerCamelCase		=      ['input_ids', 'attention_mask']
  __lowerCamelCase		=      MBartTokenizer

  __lowerCamelCase		=      []
  __lowerCamelCase		=      []







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






     '''simple docstring'''





     lowercase__			       =  AddedToken(_lowercase   ,							lstrip=_lowercase   ,							rstrip=_lowercase ) if isinstance(_lowercase   ,							_lowercase ) else mask_token

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

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

     lowercase__			       =  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__			       =  {
         lang_code: self.convert_tokens_to_ids(_lowercase ) for lang_code in FAIRSEQ_LANGUAGE_CODES
     }

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







  @property
  def   UpperCAmelCase					(      self  :List[Any] ):






     '''simple docstring'''





     return self._src_lang







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






     '''simple docstring'''





     lowercase__			       =  new_src_lang
     self.set_src_lang_special_tokens(self._src_lang )







  def   UpperCAmelCase					(      self  :List[str]   ,							_lowercase  :List[int]   ,							_lowercase  :Optional[List[int]] = 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   UpperCAmelCase					(      self  :Optional[int]   ,							_lowercase  :List[int]   ,							_lowercase  :Optional[List[int]] = None ):






     '''simple docstring'''





     lowercase__			       =  [self.sep_token_id]
     lowercase__			       =  [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   UpperCAmelCase					(      self  :List[Any]   ,							_lowercase  :int   ,							_lowercase  :str   ,							_lowercase  :Optional[str]   ,							_lowercase  :Optional[str]   ,							**_lowercase  :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__			       =  src_lang
     lowercase__			       =  self(_lowercase   ,							add_special_tokens=_lowercase   ,							return_tensors=_lowercase   ,							**_lowercase )
     lowercase__			       =  self.convert_tokens_to_ids(_lowercase )
     lowercase__			       =  tgt_lang_id
     return inputs







  def   UpperCAmelCase					(      self  :Any   ,							_lowercase  :List[str]   ,							_lowercase  :str = "en_XX"   ,							_lowercase  :Optional[List[str]] = None   ,							_lowercase  :str = "ro_RO"   ,							**_lowercase  :Union[str, Any]   ,							):






     '''simple docstring'''





     lowercase__			       =  src_lang
     lowercase__			       =  tgt_lang
     return super().prepare_seqaseq_batch(_lowercase   ,							_lowercase   ,							**_lowercase )







  def   UpperCAmelCase					(      self  :List[Any] ):






     '''simple docstring'''





     return self.set_src_lang_special_tokens(self.src_lang )







  def   UpperCAmelCase					(      self  :str ):






     '''simple docstring'''





     return self.set_tgt_lang_special_tokens(self.tgt_lang )







  def   UpperCAmelCase					(      self  :Optional[Any]   ,							_lowercase  :Any ):






     '''simple docstring'''





     lowercase__			       =  self.convert_tokens_to_ids(_lowercase )
     lowercase__			       =  []
     lowercase__			       =  [self.eos_token_id, self.cur_lang_code]

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

     lowercase__			       =  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   UpperCAmelCase					(      self  :Dict   ,							_lowercase  :str ):






     '''simple docstring'''





     lowercase__			       =  self.convert_tokens_to_ids(_lowercase )
     lowercase__			       =  []
     lowercase__			       =  [self.eos_token_id, self.cur_lang_code]

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

     lowercase__			       =  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   UpperCAmelCase					(      self  :Optional[Any]   ,							_lowercase  :str   ,							_lowercase  :Optional[str] = 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(_lowercase ):
        logger.error(f'''Vocabulary path ({save_directory}) should be a directory.''' )
        return
     lowercase__			       =  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,)













import math


def _A       (   __magic_name__	):
   lowercase__			       =  math.loga(math.sqrt(4 * positive_integer + 1	) / 2 + 1 / 2	)

   return exponent == int(__magic_name__	)


def _A       (   __magic_name__ = 1 / 1_2345	):
   lowercase__			       =  0
   lowercase__			       =  0

   lowercase__			       =  3
   while True:
      lowercase__			       =  (integer**2 - 1) / 4
      # if candidate is an integer, then there is a partition for k
      if partition_candidate == int(__magic_name__	):
         lowercase__			       =  int(__magic_name__	)
         total_partitions += 1
         if check_partition_perfect(__magic_name__	):
            perfect_partitions += 1
      if perfect_partitions > 0:
         if perfect_partitions / total_partitions < max_proportion:
            return int(__magic_name__	)
      integer += 1


if __name__ == "__main__":
  print(F"""{solution() = }""")






