'''simple docstring'''



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


__magic_name__   :						Tuple    =			logging.get_logger(__name__)

__magic_name__   :						int    =			"▁"

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

__magic_name__   :						str    =			{
    "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",
    },
}

__magic_name__   :						Any    =			{"vinai/bartpho-syllable": 1_024}


class       __SCREAMING_SNAKE_CASE	(						__lowerCAmelCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Union[str, Any]      =   VOCAB_FILES_NAMES
     UpperCAmelCase__       :						Union[str, Any]      =   PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase__       :						Tuple      =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCAmelCase__       :						Tuple      =   ['''input_ids''', '''attention_mask''']

     def __init__(					self						,   lowerCamelCase						,   lowerCamelCase						,   lowerCamelCase="<s>"						,   lowerCamelCase="</s>"						,   lowerCamelCase="</s>"						,   lowerCamelCase="<s>"						,   lowerCamelCase="<unk>"						,   lowerCamelCase="<pad>"						,   lowerCamelCase="<mask>"						,   lowerCamelCase = None						,   **lowerCamelCase						,   ):
       _snake_case     		=				AddedToken(_UpperCamelCase						,   lstrip=_UpperCamelCase						,   rstrip=_UpperCamelCase	) if isinstance(_UpperCamelCase						,   _UpperCamelCase	) else mask_token

       _snake_case     		=				{} if sp_model_kwargs is None else sp_model_kwargs

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

       _snake_case     		=				vocab_file
       _snake_case     		=				monolingual_vocab_file
       _snake_case     		=				spm.SentencePieceProcessor(**self.sp_model_kwargs	)
       self.sp_model.Load(str(_UpperCamelCase	)	)

       # Load the reduced vocab

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

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

     def __getstate__(					self	):
       _snake_case     		=				self.__dict__.copy()
       _snake_case     		=				None
       _snake_case     		=				self.sp_model.serialized_model_proto()
       return state

     def __setstate__(					self						,   lowerCamelCase	):
       _snake_case     		=				d

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

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

     def 	UpperCamelCase(					self						,   lowerCamelCase						,   lowerCamelCase = None	):


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

     def 	UpperCamelCase(					self						,   lowerCamelCase						,   lowerCamelCase = None						,   lowerCamelCase = False	):


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

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

     def 	UpperCamelCase(					self						,   lowerCamelCase						,   lowerCamelCase = None	):
       _snake_case     		=				[self.sep_token_id]
       _snake_case     		=				[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	):
       return len(self.fairseq_ids_to_tokens	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				{self.convert_ids_to_tokens(_UpperCamelCase	): i for i in range(self.vocab_size	)}
       vocab.update(self.added_tokens_encoder	)
       return vocab

     def 	UpperCamelCase(					self						,   lowerCamelCase	):
       return self.sp_model.encode(_UpperCamelCase						,   out_type=_UpperCamelCase	)

     def 	UpperCamelCase(					self						,   lowerCamelCase	):


       if token in self.fairseq_tokens_to_ids:
         return self.fairseq_tokens_to_ids[token]
       else:
         return self.unk_token_id

     def 	UpperCamelCase(					self						,   lowerCamelCase	):
       return self.fairseq_ids_to_tokens[index]

     def 	UpperCamelCase(					self						,   lowerCamelCase	):
       _snake_case     		=				"""""".join(_UpperCamelCase	).replace(_UpperCamelCase						,   " "	).strip()
       return out_string






     def 	UpperCamelCase(					self						,   lowerCamelCase						,   lowerCamelCase = None	):


       if not os.path.isdir(_UpperCamelCase	):
         logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''	)
         return
       _snake_case     		=				os.path.join(
           _UpperCamelCase						,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]	)
       _snake_case     		=				os.path.join(
           _UpperCamelCase						,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["monolingual_vocab_file"]						,   )

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

       if os.path.abspath(self.monolingual_vocab_file	) != os.path.abspath(
           _UpperCamelCase	) and os.path.isfile(self.monolingual_vocab_file	):
         copyfile(self.monolingual_vocab_file						,   _UpperCamelCase	)
       elif not os.path.isfile(self.monolingual_vocab_file	):
         with open(_UpperCamelCase						,   "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(_UpperCamelCase	)} \n'''	)

       return out_vocab_file, out_monolingual_vocab_file









'''simple docstring'''



def 				snake_case_      (		SCREAMING_SNAKE_CASE__       ):







  '''simple docstring'''



  _snake_case     		=				[0 for i in range(len(SCREAMING_SNAKE_CASE__       )       )]

  # initialize interval's left pointer and right pointer
  _snake_case		,		_snake_case     		=				0, 0

  for i in range(1					,	len(SCREAMING_SNAKE_CASE__       )       ):
    # case when current index is inside the interval
    if i <= right_pointer:
      _snake_case     		=				min(right_pointer - i + 1					,	z_result[i - left_pointer]       )
      _snake_case     		=				min_edge

    while go_next(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       ):
      z_result[i] += 1

    # if new index's result gives us more right interval,
    # we've to update left_pointer and right_pointer
    if i + z_result[i] - 1 > right_pointer:
      _snake_case		,		_snake_case     		=				i, i + z_result[i] - 1

  return z_result




def 				snake_case_      (		SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       ):







  '''simple docstring'''



  return i + z_result[i] < len(SCREAMING_SNAKE_CASE__       ) and s[z_result[i]] == s[i + z_result[i]]




def 				snake_case_      (		SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       ):







  '''simple docstring'''



  _snake_case     		=				0
  # concatenate 'pattern' and 'input_str' and call z_function
  # with concatenated string
  _snake_case     		=				z_function(pattern + input_str       )

  for val in z_result:
    # if value is greater then length of the pattern string
    # that means this index is starting position of substring
    # which is equal to pattern string
    if val >= len(SCREAMING_SNAKE_CASE__       ):
      answer += 1

  return answer


if __name__ == "__main__":
 import doctest

 doctest.testmod()


