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						:   Tuple         =			logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE						:   Union[str, Any]         =			{'vocab_file': 'spiece.model'}

__SCREAMING_SNAKE_CASE						:   Tuple         =			{
    '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						:   Union[str, 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_   (					__snake_case		):
							_lowerCamelCase						=		VOCAB_FILES_NAMES
							_lowerCamelCase						=		PRETRAINED_VOCAB_FILES_MAP
							_lowerCamelCase						=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_lowerCamelCase						=		['input_ids', 'attention_mask']
							_lowerCamelCase						=		[]



							def __init__(						self				,    lowercase_				,    lowercase_="<unk>"				,    lowercase_="<s>"				,    lowercase_="</s>"				,    lowercase_="<pad>"				,    lowercase_="[SEP]"				,    lowercase_="[MASK]"				,    lowercase_="[CLS]"				,    lowercase_ = None				,    **lowercase_				,    ):
													_snake_case						:					Any    =   AddedToken(lowercase_				,    lstrip=lowercase_				,    rstrip=lowercase_    ) if isinstance(lowercase_				,    lowercase_    ) else bos_token
													_snake_case						:					Dict    =   AddedToken(lowercase_				,    lstrip=lowercase_				,    rstrip=lowercase_    ) if isinstance(lowercase_				,    lowercase_    ) else eos_token
													_snake_case						:					List[Any]    =   AddedToken(lowercase_				,    lstrip=lowercase_				,    rstrip=lowercase_    ) if isinstance(lowercase_				,    lowercase_    ) else unk_token
													_snake_case						:					List[str]    =   AddedToken(lowercase_				,    lstrip=lowercase_				,    rstrip=lowercase_    ) if isinstance(lowercase_				,    lowercase_    ) else pad_token
													_snake_case						:					Tuple    =   AddedToken(lowercase_				,    lstrip=lowercase_				,    rstrip=lowercase_    ) if isinstance(lowercase_				,    lowercase_    ) else cls_token
													_snake_case						:					List[Any]    =   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						:					Tuple    =   AddedToken(lowercase_				,    lstrip=lowercase_				,    rstrip=lowercase_    ) if isinstance(lowercase_				,    lowercase_    ) else mask_token

													_snake_case						:					List[str]    =   {} 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						:					List[str]    =   vocab_file

													_snake_case						:					Optional[int]    =   spm.SentencePieceProcessor(**self.sp_model_kwargs    )
													self.sp_model.Load(lowercase_    )



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



							def 	UpperCamelCase	(						self    ):
													_snake_case						:					List[Any]    =   {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    ):
													_snake_case						:					int    =   self.__dict__.copy()
													_snake_case						:					Dict    =   None
													return state



							def __setstate__(						self				,    lowercase_    ):
													_snake_case						:					Any    =   d

													# for backward compatibility
													if not hasattr(self				,    "sp_model_kwargs"    ):
																			_snake_case						:					Union[str, Any]    =   {}

													_snake_case						:					Union[str, Any]    =   spm.SentencePieceProcessor(**self.sp_model_kwargs    )
													self.sp_model.Load(self.vocab_file    )



							def 	UpperCamelCase	(						self				,    lowercase_    ):
													return self.sp_model.encode(lowercase_				,    out_type=lowercase_    )



							def 	UpperCamelCase	(						self				,    lowercase_    ):
													return self.sp_model.piece_to_id(lowercase_    )



							def 	UpperCamelCase	(						self				,    lowercase_    ):
													_snake_case						:					Optional[Any]    =   self.sp_model.IdToPiece(lowercase_    )
													return token



							def 	UpperCamelCase	(						self				,    lowercase_    ):
													_snake_case						:					Optional[Any]    =   []
													_snake_case						:					Dict    =   ""
													_snake_case						:					Tuple    =   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						:					Dict    =   True
																									_snake_case						:					Any    =   []
																			else:
																									current_sub_tokens.append(lowercase_    )
																									_snake_case						:					Dict    =   False
													out_string += self.sp_model.decode(lowercase_    )
													return out_string.strip()



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_ = False				,    lowercase_ = None				,    lowercase_ = True				,    **lowercase_				,    ):
													_snake_case						:					Optional[Any]    =   kwargs.pop("use_source_tokenizer"				,    lowercase_    )

													_snake_case						:					Union[str, Any]    =   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						:					Tuple    =   []
													_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(lowercase_    )    )
																															_snake_case						:					Optional[int]    =   []
																									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						:					Optional[int]    =   re.sub(R" (\[(MASK|SEP)\])"				,    R"\1"				,    " ".join(lowercase_    )    )
													else:
																			_snake_case						:					int    =   "".join(lowercase_    )

													_snake_case						:					Dict    =   (
													    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						:					Union[str, Any]    =   self.clean_up_tokenization(lowercase_    )
																			return clean_text
													else:
																			return text



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_ = None    ):
													if not os.path.isdir(lowercase_    ):
																			logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""    )
																			return
													_snake_case						:					Tuple    =   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						:					Optional[Any]    =   self.sp_model.serialized_model_proto()
																									fi.write(lowercase_    )

													return (out_vocab_file,)



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_ = None    ):
													if token_ids_a is None:
																			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
													_snake_case						:					Optional[Any]    =   [self.cls_token_id]
													_snake_case						:					Optional[Any]    =   [self.sep_token_id]
													return cls + token_ids_a + sep + token_ids_a + sep



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_ = None				,    lowercase_ = False    ):
													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 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_ = None    ):
													_snake_case						:					Any    =   [self.sep_token_id]
													_snake_case						:					Optional[Any]    =   [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						(__lowercase ,      __lowercase						)	->	str:

						'''simple docstring'''



						_snake_case						:					Tuple    =   ""
						for word_or_phrase in separated:
												if not isinstance(__lowercase ,      __lowercase						):
																		raise Exception("join() accepts only strings to be joined"						)
												joined += word_or_phrase + separator
						return joined.strip(__lowercase						)


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

				testmod()