
import os
import re
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       :				Tuple       =			logging.get_logger(__name__)

_lowerCamelCase       :				List[Any]       =			{'''vocab_file''': '''spiece.model'''}

_lowerCamelCase       :				List[str]       =			{
    '''vocab_file''': {
        '''google/bigbird-roberta-base''': '''https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model''',
        '''google/bigbird-roberta-large''': (
            '''https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'''
        ),
        '''google/bigbird-base-trivia-itc''': (
            '''https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'''
        ),
    }
}

_lowerCamelCase       :				Union[str, Any]       =			{
    '''google/bigbird-roberta-base''': 4_096,
    '''google/bigbird-roberta-large''': 4_096,
    '''google/bigbird-base-trivia-itc''': 4_096,
}




class    SCREAMING_SNAKE_CASE__     (	UpperCAmelCase					):





	'''simple docstring'''



	_UpperCAmelCase       :		List[str]       =					VOCAB_FILES_NAMES
	_UpperCAmelCase       :		Optional[int]       =					PRETRAINED_VOCAB_FILES_MAP
	_UpperCAmelCase       :		Union[str, Any]       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_UpperCAmelCase       :		List[str]       =					["input_ids", "attention_mask"]
	_UpperCAmelCase       :		List[int]       =					[]



	def __init__(  self	:    Optional[int]			,  lowercase	:    int			,  lowercase	:    Optional[int]="<unk>"			,  lowercase	:    Optional[int]="<s>"			,  lowercase	:    Optional[int]="</s>"			,  lowercase	:    Optional[int]="<pad>"			,  lowercase	:    List[Any]="[SEP]"			,  lowercase	:    List[Any]="[MASK]"			,  lowercase	:    Tuple="[CLS]"			,  lowercase	:    Optional[Dict[str, Any]] = None			,  **lowercase	:    List[Any]			,  ):


				'''simple docstring'''


				_snake_case		=			AddedToken(lowercase			,  lstrip=lowercase			,  rstrip=lowercase	) if isinstance(lowercase			,  lowercase	) else bos_token
				_snake_case		=			AddedToken(lowercase			,  lstrip=lowercase			,  rstrip=lowercase	) if isinstance(lowercase			,  lowercase	) else eos_token
				_snake_case		=			AddedToken(lowercase			,  lstrip=lowercase			,  rstrip=lowercase	) if isinstance(lowercase			,  lowercase	) else unk_token
				_snake_case		=			AddedToken(lowercase			,  lstrip=lowercase			,  rstrip=lowercase	) if isinstance(lowercase			,  lowercase	) else pad_token
				_snake_case		=			AddedToken(lowercase			,  lstrip=lowercase			,  rstrip=lowercase	) if isinstance(lowercase			,  lowercase	) else cls_token
				_snake_case		=			AddedToken(lowercase			,  lstrip=lowercase			,  rstrip=lowercase	) if isinstance(lowercase			,  lowercase	) else sep_token

				# Mask token behave like a normal word, i.e. include the space before it
				_snake_case		=			AddedToken(lowercase			,  lstrip=lowercase			,  rstrip=lowercase	) if isinstance(lowercase			,  lowercase	) else mask_token

				_snake_case		=			{} if sp_model_kwargs is None else sp_model_kwargs

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

				_snake_case		=			vocab_file

				_snake_case		=			spm.SentencePieceProcessor(**self.sp_model_kwargs	)
				self.sp_model.Load(lowercase	)



	@property
	def  A							(  self	:    List[str]	):


				'''simple docstring'''


				return self.sp_model.get_piece_size()



	def  A							(  self	:    int	):


				'''simple docstring'''


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



	def __getstate__(  self	:    Dict	):


				'''simple docstring'''


				_snake_case		=			self.__dict__.copy()
				_snake_case		=			None
				return state



	def __setstate__(  self	:    Optional[int]			,  lowercase	:    Tuple	):


				'''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.Load(self.vocab_file	)



	def  A							(  self	:    List[str]			,  lowercase	:    str	):


				'''simple docstring'''


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



	def  A							(  self	:    Union[str, Any]			,  lowercase	:    Optional[int]	):


				'''simple docstring'''


				return self.sp_model.piece_to_id(lowercase	)



	def  A							(  self	:    str			,  lowercase	:    List[Any]	):


				'''simple docstring'''


				_snake_case		=			self.sp_model.IdToPiece(lowercase	)
				return token



	def  A							(  self	:    Optional[int]			,  lowercase	:    List[Any]	):


				'''simple docstring'''


				_snake_case		=			[]
				_snake_case		=			''
				_snake_case		=			False
				for token in tokens:
							# make sure that special tokens are not decoded using sentencepiece model
							if token in self.all_special_tokens:
										if not prev_is_special:
													out_string += " "
										out_string += self.sp_model.decode(lowercase	) + token
										_snake_case		=			True
										_snake_case		=			[]
							else:
										current_sub_tokens.append(lowercase	)
										_snake_case		=			False
				out_string += self.sp_model.decode(lowercase	)
				return out_string.strip()



	def  A							(  self	:    int			,  lowercase	:    List[int]			,  lowercase	:    bool = False			,  lowercase	:    bool = None			,  lowercase	:    bool = True			,  **lowercase	:    List[str]			,  ):


				'''simple docstring'''


				_snake_case		=			kwargs.pop('use_source_tokenizer'			,  lowercase	)

				_snake_case		=			self.convert_ids_to_tokens(lowercase			,  skip_special_tokens=lowercase	)

				# To avoid mixing byte-level and unicode for byte-level BPT
				# we need to build string separately for added tokens and byte-level tokens
				# cf. https://github.com/huggingface/transformers/issues/1133
				_snake_case		=			[]
				_snake_case		=			[]
				for token in filtered_tokens:
							if skip_special_tokens and token in self.all_special_ids:
										continue
							if token in self.added_tokens_encoder:
										if current_sub_text:
													sub_texts.append(self.convert_tokens_to_string(lowercase	)	)
													_snake_case		=			[]
										sub_texts.append(lowercase	)
							else:
										current_sub_text.append(lowercase	)
				if current_sub_text:
							sub_texts.append(self.convert_tokens_to_string(lowercase	)	)

				# Mimic the behavior of the Rust tokenizer:
				# No space before [MASK] and [SEP]
				if spaces_between_special_tokens:
							_snake_case		=			re.sub(R' (\[(MASK|SEP)\])'			,  R'\1'			,  ' '.join(lowercase	)	)
				else:
							_snake_case		=			''.join(lowercase	)

				_snake_case		=			(
				    clean_up_tokenization_spaces
				    if clean_up_tokenization_spaces is not None
				    else self.clean_up_tokenization_spaces
				)
				if clean_up_tokenization_spaces:
							_snake_case		=			self.clean_up_tokenization(lowercase	)
							return clean_text
				else:
							return text



	def  A							(  self	:    Any			,  lowercase	:    str			,  lowercase	:    Optional[str] = None	):


				'''simple docstring'''


				if not os.path.isdir(lowercase	):
							logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''	)
							return
				_snake_case		=			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	) 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:
										_snake_case		=			self.sp_model.serialized_model_proto()
										fi.write(lowercase	)

				return (out_vocab_file,)



	def  A							(  self	:    int			,  lowercase	:    List[int]			,  lowercase	:    Optional[List[int]] = None	):


				'''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 + token_ids_a + sep



	def  A							(  self	:    List[str]			,  lowercase	:    List[int]			,  lowercase	:    Optional[List[int]] = None			,  lowercase	:    bool = False	):


				'''simple docstring'''


				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] + ([0] * len(lowercase	)) + [1]





	def  A							(  self	:    List[Any]			,  lowercase	:    List[int]			,  lowercase	:    Optional[List[int]] = None	):


				'''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	) * [0] + len(token_ids_a + sep	) * [1]

def        a_		(       __lowercase   :	str ) ->  int:
			_snake_case		=			hex_num.strip()
			if not hex_num:
						raise ValueError('No value was passed to the function' )

			_snake_case		=			hex_num[0] == '-'
			if is_negative:
						_snake_case		=			hex_num[1:]

			try:
						_snake_case		=			int(__lowercase       ,					16 )
			except ValueError:
						raise ValueError('Invalid value was passed to the function' )

			_snake_case		=			''
			while int_num > 0:
						_snake_case		=			str(int_num % 2 ) + bin_str
						int_num >>= 1

			return int(('-' + bin_str) if is_negative else bin_str )


if __name__ == "__main__":
			import doctest

			doctest.testmod()