"""simple docstring"""






import os
import unicodedata
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__						:						Optional[Any]		  =			{"vocab_file": "spiece.model"}

lowerCAmelCase__						:						str		  =			{
    "vocab_file": {
        "albert-base-v1": "https://huggingface.co/albert-base-v1/resolve/main/spiece.model",
        "albert-large-v1": "https://huggingface.co/albert-large-v1/resolve/main/spiece.model",
        "albert-xlarge-v1": "https://huggingface.co/albert-xlarge-v1/resolve/main/spiece.model",
        "albert-xxlarge-v1": "https://huggingface.co/albert-xxlarge-v1/resolve/main/spiece.model",
        "albert-base-v2": "https://huggingface.co/albert-base-v2/resolve/main/spiece.model",
        "albert-large-v2": "https://huggingface.co/albert-large-v2/resolve/main/spiece.model",
        "albert-xlarge-v2": "https://huggingface.co/albert-xlarge-v2/resolve/main/spiece.model",
        "albert-xxlarge-v2": "https://huggingface.co/albert-xxlarge-v2/resolve/main/spiece.model",
    }
}

lowerCAmelCase__						:						Optional[Any]		  =			{
    "albert-base-v1": 512,
    "albert-large-v1": 512,
    "albert-xlarge-v1": 512,
    "albert-xxlarge-v1": 512,
    "albert-base-v2": 512,
    "albert-large-v2": 512,
    "albert-xlarge-v2": 512,
    "albert-xxlarge-v2": 512,
}

lowerCAmelCase__						:						Union[str, Any]		  =			"▁"
class        snake_case (				__UpperCAmelCase       ):




					"""simple docstring"""

					snake_case__       					=				VOCAB_FILES_NAMES
					snake_case__       					=				PRETRAINED_VOCAB_FILES_MAP
					snake_case__       					=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







					def __init__(       self     :			Any					,lowerCamelCase__     :			Optional[int]					,lowerCamelCase__     :			Tuple=True					,lowerCamelCase__     :			List[str]=True					,lowerCamelCase__     :			Union[str, Any]=False					,lowerCamelCase__     :			str="[CLS]"					,lowerCamelCase__     :			int="[SEP]"					,lowerCamelCase__     :			Dict="<unk>"					,lowerCamelCase__     :			Dict="[SEP]"					,lowerCamelCase__     :			Any="<pad>"					,lowerCamelCase__     :			Optional[int]="[CLS]"					,lowerCamelCase__     :			Any="[MASK]"					,lowerCamelCase__     :			Optional[Dict[str, Any]] = None					,**lowerCamelCase__     :			str					,):
									UpperCAmelCase__    =							(
									    AddedToken(lowerCAmelCase_					,lstrip=lowerCAmelCase_					,rstrip=lowerCAmelCase_					,normalized=lowerCAmelCase_    )
									    if isinstance(lowerCAmelCase_					,lowerCAmelCase_    )
									    else mask_token
									)

									UpperCAmelCase__    =							{} if sp_model_kwargs is None else sp_model_kwargs

									super().__init__(
									    do_lower_case=lowerCAmelCase_					,remove_space=lowerCAmelCase_					,keep_accents=lowerCAmelCase_					,bos_token=lowerCAmelCase_					,eos_token=lowerCAmelCase_					,unk_token=lowerCAmelCase_					,sep_token=lowerCAmelCase_					,pad_token=lowerCAmelCase_					,cls_token=lowerCAmelCase_					,mask_token=lowerCAmelCase_					,sp_model_kwargs=self.sp_model_kwargs					,**lowerCAmelCase_					,)

									UpperCAmelCase__    =							do_lower_case
									UpperCAmelCase__    =							remove_space
									UpperCAmelCase__    =							keep_accents
									UpperCAmelCase__    =							vocab_file

									UpperCAmelCase__    =							spm.SentencePieceProcessor(**self.sp_model_kwargs    )
									self.sp_model.Load(lowerCAmelCase_    )







					@property
					def 	__lowerCAmelCase		(       self     :			Optional[Any]    ):
									return len(self.sp_model    )







					def 	__lowerCAmelCase		(       self     :			List[Any]    ):
									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     :			Tuple    ):
									UpperCAmelCase__    =							self.__dict__.copy()
									UpperCAmelCase__    =							None
									return state







					def __setstate__(       self     :			Optional[Any]					,lowerCamelCase__     :			int    ):
									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 	__lowerCAmelCase		(       self     :			Optional[int]					,lowerCamelCase__     :			Optional[int]    ):







									if self.remove_space:
													UpperCAmelCase__    =							' '.join(inputs.strip().split()    )
									else:
													UpperCAmelCase__    =							inputs
									UpperCAmelCase__    =							outputs.replace('``'					,'\"'    ).replace('\'\''					,'\"'    )

									if not self.keep_accents:
													UpperCAmelCase__    =							unicodedata.normalize('NFKD'					,lowerCAmelCase_    )
													UpperCAmelCase__    =							''.join([c for c in outputs if not unicodedata.combining(lowerCAmelCase_    )]    )
									if self.do_lower_case:
													UpperCAmelCase__    =							outputs.lower()

									return outputs







					def 	__lowerCAmelCase		(       self     :			Optional[Any]					,lowerCamelCase__     :			str    ):
									UpperCAmelCase__    =							self.preprocess_text(lowerCAmelCase_    )
									UpperCAmelCase__    =							self.sp_model.encode(lowerCAmelCase_					,out_type=lowerCAmelCase_    )
									UpperCAmelCase__    =							[]
									for piece in pieces:
													if len(lowerCAmelCase_    ) > 1 and piece[-1] == str(','    ) and piece[-2].isdigit():
																	UpperCAmelCase__    =							self.sp_model.EncodeAsPieces(piece[:-1].replace(lowerCAmelCase_					,''    )    )
																	if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
																					if len(cur_pieces[0]    ) == 1:
																									UpperCAmelCase__    =							cur_pieces[1:]
																					else:
																									UpperCAmelCase__    =							cur_pieces[0][1:]
																	cur_pieces.append(piece[-1]    )
																	new_pieces.extend(lowerCAmelCase_    )
													else:
																	new_pieces.append(lowerCAmelCase_    )

									return new_pieces







					def 	__lowerCAmelCase		(       self     :			List[Any]					,lowerCamelCase__     :			int    ):
									return self.sp_model.PieceToId(lowerCAmelCase_    )







					def 	__lowerCAmelCase		(       self     :			Dict					,lowerCamelCase__     :			Dict    ):
									return self.sp_model.IdToPiece(lowerCAmelCase_    )







					def 	__lowerCAmelCase		(       self     :			Optional[int]					,lowerCamelCase__     :			int    ):
									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 	__lowerCAmelCase		(       self     :			Dict					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = None    ):
									UpperCAmelCase__    =							[self.sep_token_id]
									UpperCAmelCase__    =							[self.cls_token_id]
									if token_ids_a is None:
													return cls + token_ids_a + sep
									return cls + token_ids_a + sep + token_ids_a + sep







					def 	__lowerCAmelCase		(       self     :			Tuple					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = None					,lowerCamelCase__     :			bool = 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 not None:
													return [1] + ([0] * len(lowerCAmelCase_    )) + [1] + ([0] * len(lowerCAmelCase_    )) + [1]
									return [1] + ([0] * len(lowerCAmelCase_    )) + [1]







					def 	__lowerCAmelCase		(       self     :			List[str]					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = 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 	__lowerCAmelCase		(       self     :			Dict					,lowerCamelCase__     :			str					,lowerCamelCase__     :			Optional[str] = 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,)



"""simple docstring"""






import re



def 						a_		(      lowerCamelCase ):
				return [char.split() for char in re.split(r'[^ a-z A-Z 0-9 \s]'      ,    str_ )]



def 						a_		(      lowerCamelCase ):
				UpperCAmelCase__    =							split_input(str_ )
				return "".join(
				    [''.join([char.capitalize() for char in sub_str] ) for sub_str in string_split] )



def 						a_		(      lowerCamelCase      ,    lowerCamelCase      ,    lowerCamelCase ):
				try:
								UpperCAmelCase__    =							split_input(lowerCamelCase )
								if upper:
												UpperCAmelCase__    =							''.join(
												    [
												        separator.join([char.upper() for char in sub_str] )
												        for sub_str in string_split
												    ] )
								else:
												UpperCAmelCase__    =							''.join(
												    [
												        separator.join([char.lower() for char in sub_str] )
												        for sub_str in string_split
												    ] )
								return res_str
				except IndexError:
								return "not valid string"



def 						a_		(      lowerCamelCase ):
				return to_simple_case(lowerCamelCase )



def 						a_		(      lowerCamelCase ):
				try:
								UpperCAmelCase__    =							to_simple_case(lowerCamelCase )
								return res_str[0].lower() + res_str[1:]
				except IndexError:
								return "not valid string"



def 						a_		(      lowerCamelCase      ,    lowerCamelCase ):
				return to_complex_case(lowerCamelCase      ,    lowerCamelCase      ,    '_' )



def 						a_		(      lowerCamelCase      ,    lowerCamelCase ):
				return to_complex_case(lowerCamelCase      ,    lowerCamelCase      ,    '-' )


if __name__ == "__main__":
						__import__('doctest').testmod()



