


"""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


__SCREAMING_SNAKE_CASE							:    Optional[int]		=    logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE							:    Union[str, Any]		=    '▁'

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

__SCREAMING_SNAKE_CASE							:    Any		=    {
    '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',
    },
}

__SCREAMING_SNAKE_CASE							:    Any		=    {'vinai/bartpho-syllable': 1_024}





class      __A     (snake_case__):





							'''simple docstring'''

							__lowercase:		Dict							      =    VOCAB_FILES_NAMES
							__lowercase:		str							      =    PRETRAINED_VOCAB_FILES_MAP
							__lowercase:		Optional[int]							      =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__lowercase:		Tuple							      =    ["""input_ids""", """attention_mask"""]



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



														"""simple docstring"""



														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							:      List[Any]       )					->List[str]:



														"""simple docstring"""



														snake_case_           =		self.__dict__.copy()
														snake_case_           =		None
														snake_case_           =		self.sp_model.serialized_model_proto()
														return state



							def __setstate__(				self							:      int		,       UpperCAmelCase_							:      List[Any]       )					->Dict:



														"""simple docstring"""



														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 		lowerCAmelCase       (				self							:      Tuple		,       UpperCAmelCase_							:      List[int]		,       UpperCAmelCase_							:      Optional[List[int]] = None       )					->List[int]:



														"""simple docstring"""



														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 		lowerCAmelCase       (				self							:      Optional[Any]		,       UpperCAmelCase_							:      List[int]		,       UpperCAmelCase_							:      Optional[List[int]] = None		,       UpperCAmelCase_							:      bool = False       )					->List[int]:



														"""simple docstring"""



														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 		lowerCAmelCase       (				self							:      Optional[int]		,       UpperCAmelCase_							:      List[int]		,       UpperCAmelCase_							:      Optional[List[int]] = None       )					->List[int]:



														"""simple docstring"""



														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 		lowerCAmelCase       (				self							:      Dict       )					->Tuple:



														"""simple docstring"""



														return len(self.fairseq_ids_to_tokens       )



							def 		lowerCAmelCase       (				self							:      Tuple       )					->Tuple:



														"""simple docstring"""



														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 		lowerCAmelCase       (				self							:      Optional[Any]		,       UpperCAmelCase_							:      str       )					->List[str]:



														"""simple docstring"""



														return self.sp_model.encode(UpperCAmelCase_		,       out_type=UpperCAmelCase_       )



							def 		lowerCAmelCase       (				self							:      Union[str, Any]		,       UpperCAmelCase_							:      Optional[int]       )					->Optional[int]:



														"""simple docstring"""



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



							def 		lowerCAmelCase       (				self							:      Dict		,       UpperCAmelCase_							:      Optional[Any]       )					->Any:



														"""simple docstring"""



														return self.fairseq_ids_to_tokens[index]



							def 		lowerCAmelCase       (				self							:      str		,       UpperCAmelCase_							:      List[Any]       )					->List[str]:



														"""simple docstring"""



														snake_case_           =		"""""".join(UpperCAmelCase_       ).replace(UpperCAmelCase_		,       """ """       ).strip()
														return out_string



							def 		lowerCAmelCase       (				self							:      Optional[int]		,       UpperCAmelCase_							:      str		,       UpperCAmelCase_							:      Optional[str] = None       )					->Tuple[str]:



														"""simple docstring"""



														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 						_a				(      _SCREAMING_SNAKE_CASE				)    ->				list:

							# bit count represents no. of bits in the gray code
							if bit_count < 0:
														raise ValueError("""The given input must be positive"""				)

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

							return sequence







def 						_a				(      _SCREAMING_SNAKE_CASE				)    ->				list:

							# The approach is a recursive one
							# Base case achieved when either n = 0 or n=1
							if bit_count == 0:
														return ["0"]

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

							snake_case_           =		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
							snake_case_           =		gray_code_sequence_string(bit_count - 1				)

							snake_case_           =		[]

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

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

							return sequence


if __name__ == "__main__":
				import doctest

				doctest.testmod()



