
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


__A							=logging.get_logger(__name__)

__A							='''▁'''

__A							={'''vocab_file''': '''sentencepiece.bpe.model''', '''monolingual_vocab_file''': '''dict.txt'''}

__A							={
    '''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''',
    },
}

__A							={'''vinai/bartpho-syllable''': 1_0_2_4}




class        _SCREAMING_SNAKE_CASE	( __snake_case		):
	lowerCAmelCase__   =					VOCAB_FILES_NAMES
	lowerCAmelCase__   =					PRETRAINED_VOCAB_FILES_MAP
	lowerCAmelCase__   =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowerCAmelCase__   =					['input_ids', 'attention_mask']



	def __init__(       self		,    lowercase		,    lowercase		,    lowercase="<s>"		,    lowercase="</s>"		,    lowercase="</s>"		,    lowercase="<s>"		,    lowercase="<unk>"		,    lowercase="<pad>"		,    lowercase="<mask>"		,    lowercase = None		,    **lowercase		,    )							->			Optional[int]:
					lowerCamelCase_         =     AddedToken(_SCREAMING_SNAKE_CASE		,    lstrip=_SCREAMING_SNAKE_CASE		,    rstrip=_SCREAMING_SNAKE_CASE					) if isinstance(_SCREAMING_SNAKE_CASE		,    _SCREAMING_SNAKE_CASE					) else mask_token

					lowerCamelCase_         =     {} if sp_model_kwargs is None else sp_model_kwargs

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

					lowerCamelCase_         =     vocab_file
					lowerCamelCase_         =     monolingual_vocab_file
					lowerCamelCase_         =     spm.SentencePieceProcessor(**self.sp_model_kwargs					)
					self.sp_model.Load(str(_SCREAMING_SNAKE_CASE					)					)

					# Load the reduced vocab

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

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



	def __getstate__(       self					)							->			Optional[Any]:
					lowerCamelCase_         =     self.__dict__.copy()
					lowerCamelCase_         =     None
					lowerCamelCase_         =     self.sp_model.serialized_model_proto()
					return state



	def __setstate__(       self		,    lowercase					)							->			Optional[Any]:
					lowerCamelCase_         =     d

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

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



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase = None					)							->			int:




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



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase = None		,    lowercase = False					)							->			List[Any]:




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

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



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase = None					)							->			Tuple:
					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]



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



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Optional[Any]:
					lowerCamelCase_         =     {self.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE					): i for i in range(self.vocab_size					)}
					vocab.update(self.added_tokens_encoder					)
					return vocab



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			Union[str, Any]:
					return self.sp_model.encode(_SCREAMING_SNAKE_CASE		,    out_type=_SCREAMING_SNAKE_CASE					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			Dict:




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



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			Any:
					return self.fairseq_ids_to_tokens[index]



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			str:
					lowerCamelCase_         =     "".join(_SCREAMING_SNAKE_CASE					).replace(_SCREAMING_SNAKE_CASE		,    " "					).strip()
					return out_string



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase = None					)							->			Dict:




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

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

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

					return out_vocab_file, out_monolingual_vocab_file










def 		lowercase__  (				_UpperCamelCase) ->			list:
      """simple docstring"""

      if bit_count < 0:
            raise ValueError('The given input must be positive')

      # get the generated string sequence
      UpperCamelCase					       =  gray_code_sequence_string(_UpperCamelCase)
      #
      # convert them to integers
      for i in range(len(_UpperCamelCase)):
            UpperCamelCase					       =  int(sequence[i]       ,							2)

      return sequence
def 		lowercase__  (				_UpperCamelCase) ->			list:
      """simple docstring"""

      if bit_count == 0:
            return ["0"]

      if bit_count == 1:
            return ["0", "1"]

      UpperCamelCase					       =  1 << bit_count  # defines the length of the sequence
      # 1<< n is equivalent to 2^n

      # recursive answer will generate answer for n-1 bits
      UpperCamelCase					       =  gray_code_sequence_string(bit_count - 1)

      UpperCamelCase					       =  []

      # append 0 to first half of the smaller sequence generated
      for i in range(seq_len // 2):
            UpperCamelCase					       =  '0' + smaller_sequence[i]
            sequence.append(_UpperCamelCase)

      # append 1 to second half ... start from the end of the list
      for i in reversed(range(seq_len // 2)):
            UpperCamelCase					       =  '1' + smaller_sequence[i]
            sequence.append(_UpperCamelCase)

      return sequence


if __name__ == "__main__":
       import doctest

       doctest.testmod()



