


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	: str  				=logging.get_logger(__name__)

__lowerCAmelCase	: Dict  				={'vocab_file': 'spiece.model'}

__lowerCAmelCase	: int  				={
    '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	: Any  				={
    'google/bigbird-roberta-base': 4_0_9_6,
    'google/bigbird-roberta-large': 4_0_9_6,
    'google/bigbird-base-trivia-itc': 4_0_9_6,
}
class        _lowercase      (			A__       ):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE__				:			Dict						=		VOCAB_FILES_NAMES
				SCREAMING_SNAKE_CASE__				:			List[str]						=		PRETRAINED_VOCAB_FILES_MAP
				SCREAMING_SNAKE_CASE__				:			Dict						=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				SCREAMING_SNAKE_CASE__				:			Dict						=		['''input_ids''', '''attention_mask''']
				SCREAMING_SNAKE_CASE__				:			List[int]						=		[]


				def __init__(       self			:Optional[Any]			,			lowerCAmelCase__			:str			,			lowerCAmelCase__			:List[Any]="<unk>"			,			lowerCAmelCase__			:int="<s>"			,			lowerCAmelCase__			:int="</s>"			,			lowerCAmelCase__			:Any="<pad>"			,			lowerCAmelCase__			:int="[SEP]"			,			lowerCAmelCase__			:Any="[MASK]"			,			lowerCAmelCase__			:int="[CLS]"			,			lowerCAmelCase__			:Optional[Dict[str, Any]] = None			,			**lowerCAmelCase__			:Union[str, Any]			,			)		->			None:
										__SCREAMING_SNAKE_CASE						:     str					=		AddedToken(lowerCAmelCase__			,			lstrip=lowerCAmelCase__			,			rstrip=lowerCAmelCase__	) if isinstance(lowerCAmelCase__			,			lowerCAmelCase__	) else bos_token
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		AddedToken(lowerCAmelCase__			,			lstrip=lowerCAmelCase__			,			rstrip=lowerCAmelCase__	) if isinstance(lowerCAmelCase__			,			lowerCAmelCase__	) else eos_token
										__SCREAMING_SNAKE_CASE						:     List[str]					=		AddedToken(lowerCAmelCase__			,			lstrip=lowerCAmelCase__			,			rstrip=lowerCAmelCase__	) if isinstance(lowerCAmelCase__			,			lowerCAmelCase__	) else unk_token
										__SCREAMING_SNAKE_CASE						:     str					=		AddedToken(lowerCAmelCase__			,			lstrip=lowerCAmelCase__			,			rstrip=lowerCAmelCase__	) if isinstance(lowerCAmelCase__			,			lowerCAmelCase__	) else pad_token
										__SCREAMING_SNAKE_CASE						:     Dict					=		AddedToken(lowerCAmelCase__			,			lstrip=lowerCAmelCase__			,			rstrip=lowerCAmelCase__	) if isinstance(lowerCAmelCase__			,			lowerCAmelCase__	) else cls_token
										__SCREAMING_SNAKE_CASE						:     Tuple					=		AddedToken(lowerCAmelCase__			,			lstrip=lowerCAmelCase__			,			rstrip=lowerCAmelCase__	) if isinstance(lowerCAmelCase__			,			lowerCAmelCase__	) else sep_token

										# Mask token behave like a normal word, i.e. include the space before it
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		AddedToken(lowerCAmelCase__			,			lstrip=lowerCAmelCase__			,			rstrip=lowerCAmelCase__	) if isinstance(lowerCAmelCase__			,			lowerCAmelCase__	) else mask_token

										__SCREAMING_SNAKE_CASE						:     Dict					=		{} if sp_model_kwargs is None else sp_model_kwargs

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

										__SCREAMING_SNAKE_CASE						:     List[Any]					=		vocab_file

										__SCREAMING_SNAKE_CASE						:     Any					=		spm.SentencePieceProcessor(**self.sp_model_kwargs	)
										self.sp_model.Load(lowerCAmelCase__	)


				@property
				def 		__magic_name__(       self			:Tuple	)		->			List[str]:
										return self.sp_model.get_piece_size()


				def 		__magic_name__(       self			:List[str]	)		->			Optional[Any]:
										__SCREAMING_SNAKE_CASE						:     str					=		{self.convert_ids_to_tokens(lowerCAmelCase__	): i for i in range(self.vocab_size	)}
										vocab.update(self.added_tokens_encoder	)
										return vocab


				def __getstate__(       self			:int	)		->			List[Any]:
										__SCREAMING_SNAKE_CASE						:     Any					=		self.__dict__.copy()
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		None
										return state


				def __setstate__(       self			:Dict			,			lowerCAmelCase__			:Any	)		->			Any:
										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		d

										# for backward compatibility
										if not hasattr(self			,			'''sp_model_kwargs'''	):
																__SCREAMING_SNAKE_CASE						:     List[Any]					=		{}

										__SCREAMING_SNAKE_CASE						:     int					=		spm.SentencePieceProcessor(**self.sp_model_kwargs	)
										self.sp_model.Load(self.vocab_file	)


				def 		__magic_name__(       self			:Dict			,			lowerCAmelCase__			:str	)		->			List[str]:
										return self.sp_model.encode(lowerCAmelCase__			,			out_type=lowerCAmelCase__	)


				def 		__magic_name__(       self			:Optional[Any]			,			lowerCAmelCase__			:Optional[Any]	)		->			List[Any]:
										return self.sp_model.piece_to_id(lowerCAmelCase__	)


				def 		__magic_name__(       self			:Optional[Any]			,			lowerCAmelCase__			:Optional[Any]	)		->			Dict:
										__SCREAMING_SNAKE_CASE						:     List[Any]					=		self.sp_model.IdToPiece(lowerCAmelCase__	)
										return token


				def 		__magic_name__(       self			:Any			,			lowerCAmelCase__			:List[str]	)		->			Union[str, Any]:
										__SCREAMING_SNAKE_CASE						:     List[Any]					=		[]
										__SCREAMING_SNAKE_CASE						:     str					=		''''''
										__SCREAMING_SNAKE_CASE						:     str					=		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(lowerCAmelCase__	) + token
																						__SCREAMING_SNAKE_CASE						:     Any					=		True
																						__SCREAMING_SNAKE_CASE						:     List[str]					=		[]
																else:
																						current_sub_tokens.append(lowerCAmelCase__	)
																						__SCREAMING_SNAKE_CASE						:     Tuple					=		False
										out_string += self.sp_model.decode(lowerCAmelCase__	)
										return out_string.strip()


				def 		__magic_name__(       self			:Optional[Any]			,			lowerCAmelCase__			:List[int]			,			lowerCAmelCase__			:bool = False			,			lowerCAmelCase__			:bool = None			,			lowerCAmelCase__			:bool = True			,			**lowerCAmelCase__			:List[Any]			,			)		->			str:
										__SCREAMING_SNAKE_CASE						:     List[str]					=		kwargs.pop('''use_source_tokenizer'''			,			lowerCAmelCase__	)

										__SCREAMING_SNAKE_CASE						:     Any					=		self.convert_ids_to_tokens(lowerCAmelCase__			,			skip_special_tokens=lowerCAmelCase__	)

										# 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
										__SCREAMING_SNAKE_CASE						:     Dict					=		[]
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		[]
										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(lowerCAmelCase__	)	)
																												__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		[]
																						sub_texts.append(lowerCAmelCase__	)
																else:
																						current_sub_text.append(lowerCAmelCase__	)
										if current_sub_text:
																sub_texts.append(self.convert_tokens_to_string(lowerCAmelCase__	)	)

										# Mimic the behavior of the Rust tokenizer:
										# No space before [MASK] and [SEP]
										if spaces_between_special_tokens:
																__SCREAMING_SNAKE_CASE						:     Any					=		re.sub(r''' (\[(MASK|SEP)\])'''			,			r'''\1'''			,			''' '''.join(lowerCAmelCase__	)	)
										else:
																__SCREAMING_SNAKE_CASE						:     Optional[int]					=		''''''.join(lowerCAmelCase__	)

										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		(
										    clean_up_tokenization_spaces
										    if clean_up_tokenization_spaces is not None
										    else self.clean_up_tokenization_spaces
										)
										if clean_up_tokenization_spaces:
																__SCREAMING_SNAKE_CASE						:     Dict					=		self.clean_up_tokenization(lowerCAmelCase__	)
																return clean_text
										else:
																return text


				def 		__magic_name__(       self			:Tuple			,			lowerCAmelCase__			:str			,			lowerCAmelCase__			:Optional[str] = None	)		->			Tuple[str]:
										if not os.path.isdir(lowerCAmelCase__	):
																logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''	)
																return
										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		os.path.join(
										    lowerCAmelCase__			,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)

										if os.path.abspath(self.vocab_file	) != os.path.abspath(lowerCAmelCase__	) and os.path.isfile(self.vocab_file	):
																copyfile(self.vocab_file			,			lowerCAmelCase__	)
										elif not os.path.isfile(self.vocab_file	):
																with open(lowerCAmelCase__			,			'''wb'''	) as fi:
																						__SCREAMING_SNAKE_CASE						:     Any					=		self.sp_model.serialized_model_proto()
																						fi.write(lowerCAmelCase__	)

										return (out_vocab_file,)


				def 		__magic_name__(       self			:Dict			,			lowerCAmelCase__			:List[int]			,			lowerCAmelCase__			:Optional[List[int]] = None	)		->			List[int]:
										if token_ids_a is None:
																return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		[self.cls_token_id]
										__SCREAMING_SNAKE_CASE						:     List[str]					=		[self.sep_token_id]
										return cls + token_ids_a + sep + token_ids_a + sep


				def 		__magic_name__(       self			:List[str]			,			lowerCAmelCase__			:List[int]			,			lowerCAmelCase__			:Optional[List[int]] = None			,			lowerCAmelCase__			:bool = False	)		->			List[int]:
										if already_has_special_tokens:
																return super().get_special_tokens_mask(
																    token_ids_a=lowerCAmelCase__			,			token_ids_a=lowerCAmelCase__			,			already_has_special_tokens=lowerCAmelCase__	)

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



				def 		__magic_name__(       self			:Optional[Any]			,			lowerCAmelCase__			:List[int]			,			lowerCAmelCase__			:Optional[List[int]] = None	)		->			List[int]:
										__SCREAMING_SNAKE_CASE						:     str					=		[self.sep_token_id]
										__SCREAMING_SNAKE_CASE						:     Dict					=		[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]




import importlib.metadata
import operator
import re
import sys
from typing import Optional

from packaging import version


__lowerCAmelCase	: Union[str, Any]  				={
    '<': operator.lt,
    '<=': operator.le,
    '==': operator.eq,
    '!=': operator.ne,
    '>=': operator.ge,
    '>': operator.gt,
}


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__      ):
						if got_ver is None or want_ver is None:
												raise ValueError(
												    F'''Unable to compare versions for {requirement}: need={want_ver} found={got_ver}. This is unusual. Consider'''
												    F''' reinstalling {pkg}.'''      )
						if not ops[op](version.parse(lowercase__      )    ,       version.parse(lowercase__      )      ):
												raise ImportError(
												    F'''{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}'''      )


def        _UpperCamelCase							(      lowercase__    ,       lowercase__ = None      ):
						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		F'''\n{hint}''' if hint is not None else ''''''

						# non-versioned check
						if re.match(R'''^[\w_\-\d]+$'''    ,       lowercase__      ):
												__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE						:     str					=		requirement, None, None
						else:
												__SCREAMING_SNAKE_CASE						:     List[Any]					=		re.findall(R'''^([^!=<>\s]+)([\s!=<>]{1,2}.+)'''    ,       lowercase__      )
												if not match:
																		raise ValueError(
																		    '''requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23, but'''
																		    F''' got {requirement}'''      )
												__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE						:     Tuple					=		match[0]
												__SCREAMING_SNAKE_CASE						:     Optional[int]					=		want_full.split(''','''      )  # there could be multiple requirements
												__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		{}
												for w in want_range:
																		__SCREAMING_SNAKE_CASE						:     Any					=		re.findall(R'''^([\s!=<>]{1,2})(.+)'''    ,       lowercase__      )
																		if not match:
																								raise ValueError(
																								    '''requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23,'''
																								    F''' but got {requirement}'''      )
																		__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE						:     Tuple					=		match[0]
																		__SCREAMING_SNAKE_CASE						:     List[Any]					=		want_ver
																		if op not in ops:
																								raise ValueError(F'''{requirement}: need one of {list(ops.keys()      )}, but got {op}'''      )

    # special case
						if pkg == "python":
												__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		'''.'''.join([str(lowercase__      ) for x in sys.version_info[:3]]      )
												for op, want_ver in wanted.items():
																		_compare_versions(lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__      )
												return

						# check if any version is installed
						try:
												__SCREAMING_SNAKE_CASE						:     Optional[int]					=		importlib.metadata.version(lowercase__      )
						except importlib.metadata.PackageNotFoundError:
												raise importlib.metadata.PackageNotFoundError(
												    F'''The \'{requirement}\' distribution was not found and is required by this application. {hint}'''      )

						# check that the right version is installed if version number or a range was provided
						if want_ver is not None:
												for op, want_ver in wanted.items():
																		_compare_versions(lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__    ,       lowercase__      )


def        _UpperCamelCase							(      lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		'''Try: pip install transformers -U or pip install -e \'.[dev]\' if you\'re working with git main'''
						return require_version(lowercase__    ,       lowercase__      )
