



import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase__       = logging.get_logger(__name__)

lowerCAmelCase__       = "▁"

lowerCAmelCase__       = {"vocab_file": "sentencepiece.bpe.model", "monolingual_vocab_file": "dict.txt"}

lowerCAmelCase__       = {
    "vocab_file": {
        "vinai/bartpho-syllable": "https://huggingface.co/vinai/bartpho-syllable/resolve/main/sentencepiece.bpe.model",
    },
    "monolingual_vocab_file": {
        "vinai/bartpho-syllable": "https://huggingface.co/vinai/bartpho-syllable/resolve/main/dict.txt",
    },
}

lowerCAmelCase__       = {"vinai/bartpho-syllable": 1024}






class 						__magic_name__    (       _UpperCAmelCase    ):
 UpperCAmelCase							    =						VOCAB_FILES_NAMES
 UpperCAmelCase							    =						PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase							    =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCAmelCase							    =						["""input_ids""", """attention_mask"""]


 def __init__(						self		: List[Any]			,						lowerCAmelCase__		: Dict			,						lowerCAmelCase__		: Optional[int]			,						lowerCAmelCase__		: List[Any]="<s>"			,						lowerCAmelCase__		: Optional[int]="</s>"			,						lowerCAmelCase__		: Optional[int]="</s>"			,						lowerCAmelCase__		: Optional[Any]="<s>"			,						lowerCAmelCase__		: int="<unk>"			,						lowerCAmelCase__		: Optional[int]="<pad>"			,						lowerCAmelCase__		: List[Any]="<mask>"			,						lowerCAmelCase__		: Optional[Dict[str, Any]] = None			,						**lowerCAmelCase__		: int			,						)    ->      int:
   # 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					      =  {} if sp_model_kwargs is None else sp_model_kwargs

   super().__init__(
       bos_token=lowercase_			,						eos_token=lowercase_			,						unk_token=lowercase_			,						sep_token=lowercase_			,						cls_token=lowercase_			,						pad_token=lowercase_			,						mask_token=lowercase_			,						sp_model_kwargs=self.sp_model_kwargs			,						**lowercase_			,						)

   UpperCAmelCase					      =  vocab_file
   UpperCAmelCase					      =  monolingual_vocab_file
   UpperCAmelCase					      =  spm.SentencePieceProcessor(**self.sp_model_kwargs    )
   self.sp_model.Load(str(lowercase_    )    )

   # Load the reduced vocab

   # Keep order of special tokens for backward compatibility
   UpperCAmelCase					      =  {}
   UpperCAmelCase					      =  0
   for token in [bos_token, pad_token, eos_token, unk_token, sep_token, cls_token]:
     if str(lowercase_    ) not in self.fairseq_tokens_to_ids:
       UpperCAmelCase					      =  cnt
       cnt += 1
   with open(lowercase_			,						"r"			,						encoding="utf-8"    ) as f:
     for line in f.readlines():
       UpperCAmelCase					      =  line.strip().split()[0]
       UpperCAmelCase					      =  len(self.fairseq_tokens_to_ids    )
   if str(lowercase_    ) not in self.fairseq_tokens_to_ids:
     UpperCAmelCase					      =  len(self.fairseq_tokens_to_ids    )

   UpperCAmelCase					      =  {v: k for k, v in self.fairseq_tokens_to_ids.items()}


 def __getstate__(						self		: str    )    ->      Any:
   UpperCAmelCase					      =  self.__dict__.copy()
   UpperCAmelCase					      =  None
   UpperCAmelCase					      =  self.sp_model.serialized_model_proto()
   return state


 def __setstate__(						self		: Optional[int]			,						lowerCAmelCase__		: List[str]    )    ->      List[str]:
   UpperCAmelCase					      =  d

   # for backward compatibility
   if not hasattr(self			,						"sp_model_kwargs"    ):
     UpperCAmelCase					      =  {}

   UpperCAmelCase					      =  spm.SentencePieceProcessor(**self.sp_model_kwargs    )
   self.sp_model.LoadFromSerializedProto(self.sp_model_proto    )


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

   if token_ids_a is None:
     return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
   UpperCAmelCase					      =  [self.cls_token_id]
   UpperCAmelCase					      =  [self.sep_token_id]
   return cls + token_ids_a + sep + sep + token_ids_a + sep


 def _UpperCamelCase	(						self		: Optional[int]			,						lowerCAmelCase__		: List[int]			,						lowerCAmelCase__		: Optional[List[int]] = None			,						lowerCAmelCase__		: bool = False    )    ->      Any:

   if already_has_special_tokens:
     return super().get_special_tokens_mask(
         token_ids_a=lowercase_			,						token_ids_a=lowercase_			,						already_has_special_tokens=lowercase_    )

   if token_ids_a is None:
     return [1] + ([0] * len(lowercase_    )) + [1]
   return [1] + ([0] * len(lowercase_    )) + [1, 1] + ([0] * len(lowercase_    )) + [1]


 def _UpperCamelCase	(						self		: Optional[int]			,						lowerCAmelCase__		: List[int]			,						lowerCAmelCase__		: Optional[List[int]] = None    )    ->      Dict:
   UpperCAmelCase					      =  [self.sep_token_id]
   UpperCAmelCase					      =  [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]


 @property
 def _UpperCamelCase	(						self		: List[str]    )    ->      Optional[int]:
   return len(self.fairseq_ids_to_tokens    )


 def _UpperCamelCase	(						self		: List[Any]    )    ->      Any:
   UpperCAmelCase					      =  {self.convert_ids_to_tokens(lowercase_    ): i for i in range(self.vocab_size    )}
   vocab.update(self.added_tokens_encoder    )
   return vocab


 def _UpperCamelCase	(						self		: Tuple			,						lowerCAmelCase__		: str    )    ->      List[Any]:
   return self.sp_model.encode(lowercase_			,						out_type=lowercase_    )


 def _UpperCamelCase	(						self		: Optional[int]			,						lowerCAmelCase__		: List[Any]    )    ->      str:
   if token in self.fairseq_tokens_to_ids:
     return self.fairseq_tokens_to_ids[token]
   else:
     return self.unk_token_id


 def _UpperCamelCase	(						self		: Optional[int]			,						lowerCAmelCase__		: str    )    ->      Optional[int]:
   return self.fairseq_ids_to_tokens[index]


 def _UpperCamelCase	(						self		: List[Any]			,						lowerCAmelCase__		: Tuple    )    ->      List[Any]:
   UpperCAmelCase					      =  """""".join(lowercase_    ).replace(lowercase_			,						" "    ).strip()
   return out_string


 def _UpperCamelCase	(						self		: List[Any]			,						lowerCAmelCase__		: str			,						lowerCAmelCase__		: Optional[str] = None    )    ->      List[str]:
   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"]    )
   UpperCAmelCase					      =  os.path.join(
       lowercase_			,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["monolingual_vocab_file"]			,						)

   if os.path.abspath(self.vocab_file    ) != os.path.abspath(lowercase_    ) and os.path.isfile(self.vocab_file    ):
     copyfile(self.vocab_file			,						lowercase_    )
   elif not os.path.isfile(self.vocab_file    ):
     with open(lowercase_			,						"wb"    ) as fi:
       UpperCAmelCase					      =  self.sp_model.serialized_model_proto()
       fi.write(lowercase_    )

   if os.path.abspath(self.monolingual_vocab_file    ) != os.path.abspath(
       lowercase_    ) and os.path.isfile(self.monolingual_vocab_file    ):
     copyfile(self.monolingual_vocab_file			,						lowercase_    )
   elif not os.path.isfile(self.monolingual_vocab_file    ):
     with open(lowercase_			,						"w"			,						encoding="utf-8"    ) as fp:
       for token in self.fairseq_tokens_to_ids:
         if token not in self.all_special_tokens:
           fp.write(f"{str(lowercase_    )} \n"    )

   return out_vocab_file, out_monolingual_vocab_file






def      _lowerCAmelCase(	__A   ,       __A   ,       __A			):
  if n == 0:
    return 1

  elif n % 2 == 1:
    return (binary_exponentiation(__A   ,       n - 1   ,       __A			) * a) % mod

  else:
    UpperCAmelCase					      =  binary_exponentiation(__A   ,       n / 2   ,       __A			)
    return (b * b) % mod


# a prime number
lowerCAmelCase__       = 701

lowerCAmelCase__       = 1000000000
lowerCAmelCase__       = 10

# using binary exponentiation function, O(log(p)):
print((a / b) % p == (a * binary_exponentiation(b, p - 2, p)) % p)





print((a / b) % p == (a * b ** (p - 2)) % p)



