



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


SCREAMING_SNAKE_CASE     				=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE     				=						{"""vocab_file""": """spiece.model"""}

SCREAMING_SNAKE_CASE     				=						{
    """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"""
        ),
    }
}

SCREAMING_SNAKE_CASE     				=						{
    """google/bigbird-roberta-base""": 4096,
    """google/bigbird-roberta-large""": 4096,
    """google/bigbird-base-trivia-itc""": 4096,
}



class 	lowerCamelCase      (						__UpperCAmelCase  ):







					'''simple docstring'''







					lowerCAmelCase_				:    Dict									=  VOCAB_FILES_NAMES
					lowerCAmelCase_				:    Dict									=  PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_				:    Optional[int]									=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_				:    Tuple									=  ['input_ids', 'attention_mask']
					lowerCAmelCase_				:    Tuple									=  []



					def __init__(			self    ,	lowerCAmelCase    ,	lowerCAmelCase="<unk>"    ,	lowerCAmelCase="<s>"    ,	lowerCAmelCase="</s>"    ,	lowerCAmelCase="<pad>"    ,	lowerCAmelCase="[SEP]"    ,	lowerCAmelCase="[MASK]"    ,	lowerCAmelCase="[CLS]"    ,	lowerCAmelCase = None    ,	**lowerCAmelCase    ,	):
							UpperCAmelCase_						=				AddedToken(lowerCAmelCase    ,	lstrip=lowerCAmelCase    ,	rstrip=lowerCAmelCase     ) if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ) else bos_token
							UpperCAmelCase_						=				AddedToken(lowerCAmelCase    ,	lstrip=lowerCAmelCase    ,	rstrip=lowerCAmelCase     ) if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ) else eos_token
							UpperCAmelCase_						=				AddedToken(lowerCAmelCase    ,	lstrip=lowerCAmelCase    ,	rstrip=lowerCAmelCase     ) if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ) else unk_token
							UpperCAmelCase_						=				AddedToken(lowerCAmelCase    ,	lstrip=lowerCAmelCase    ,	rstrip=lowerCAmelCase     ) if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ) else pad_token
							UpperCAmelCase_						=				AddedToken(lowerCAmelCase    ,	lstrip=lowerCAmelCase    ,	rstrip=lowerCAmelCase     ) if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ) else cls_token
							UpperCAmelCase_						=				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
							UpperCAmelCase_						=				AddedToken(lowerCAmelCase    ,	lstrip=lowerCAmelCase    ,	rstrip=lowerCAmelCase     ) if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ) else mask_token

							UpperCAmelCase_						=				{} 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    ,	)

							UpperCAmelCase_						=				vocab_file

							UpperCAmelCase_						=				spm.SentencePieceProcessor(**self.sp_model_kwargs     )
							self.sp_model.Load(lowerCAmelCase     )



					@property
					def    A__		(			self     ):
							return self.sp_model.get_piece_size()



					def    A__		(			self     ):
							UpperCAmelCase_						=				{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     ):
							UpperCAmelCase_						=				self.__dict__.copy()
							UpperCAmelCase_						=				None
							return state



					def __setstate__(			self    ,	lowerCAmelCase     ):
							UpperCAmelCase_						=				d

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

							UpperCAmelCase_						=				spm.SentencePieceProcessor(**self.sp_model_kwargs     )
							self.sp_model.Load(self.vocab_file     )



					def    A__		(			self    ,	lowerCAmelCase     ):
							return self.sp_model.encode(lowerCAmelCase    ,	out_type=lowerCAmelCase     )



					def    A__		(			self    ,	lowerCAmelCase     ):
							return self.sp_model.piece_to_id(lowerCAmelCase     )



					def    A__		(			self    ,	lowerCAmelCase     ):
							UpperCAmelCase_						=				self.sp_model.IdToPiece(lowerCAmelCase     )
							return token



					def    A__		(			self    ,	lowerCAmelCase     ):
							UpperCAmelCase_						=				[]
							UpperCAmelCase_						=				""
							UpperCAmelCase_						=				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
											UpperCAmelCase_						=				True
											UpperCAmelCase_						=				[]
									else:
											current_sub_tokens.append(lowerCAmelCase     )
											UpperCAmelCase_						=				False
							out_string += self.sp_model.decode(lowerCAmelCase     )
							return out_string.strip()



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = False    ,	lowerCAmelCase = None    ,	lowerCAmelCase = True    ,	**lowerCAmelCase    ,	):
							UpperCAmelCase_						=				kwargs.pop("use_source_tokenizer"    ,	lowerCAmelCase     )

							UpperCAmelCase_						=				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
							UpperCAmelCase_						=				[]
							UpperCAmelCase_						=				[]
							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     )     )
													UpperCAmelCase_						=				[]
											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:
									UpperCAmelCase_						=				re.sub(r" (\[(MASK|SEP)\])"    ,	r"\1"    ,	" ".join(lowerCAmelCase     )     )
							else:
									UpperCAmelCase_						=				"".join(lowerCAmelCase     )

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



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None     ):

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

							return (out_vocab_file,)



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None     ):

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



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None    ,	lowerCAmelCase = False     ):

							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    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None     ):
							UpperCAmelCase_						=				[self.sep_token_id]
							UpperCAmelCase_						=				[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 snake_case__  (			__SCREAMING_SNAKE_CASE )		->							str:
		UpperCAmelCase_						=				int(__SCREAMING_SNAKE_CASE )
		if decimal in (0, 1):  # Exit cases for the recursion
				return str(__SCREAMING_SNAKE_CASE )
		UpperCAmelCase_					,						UpperCAmelCase_						=				divmod(__SCREAMING_SNAKE_CASE			,     2 )
		return binary_recursive(__SCREAMING_SNAKE_CASE ) + str(__SCREAMING_SNAKE_CASE )







def snake_case__  (			__SCREAMING_SNAKE_CASE )		->							str:
		UpperCAmelCase_						=				str(__SCREAMING_SNAKE_CASE ).strip()
		if not number:
				raise ValueError("No input value was provided" )
		UpperCAmelCase_						=				"-" if number.startswith("-" ) else ""
		UpperCAmelCase_						=				number.lstrip("-" )
		if not number.isnumeric():
				raise ValueError("Input value is not an integer" )
		return f'''{negative}0b{binary_recursive(int(__SCREAMING_SNAKE_CASE ) )}'''


if __name__ == "__main__":
			from doctest import testmod

			testmod()

