
"""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


_a :    List[str]														=		logging.get_logger(__name__)
_a :    Any														=		{"""vocab_file""": """spiece.model"""}

_a :    Optional[Any]														=		{
    """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""",
    }
}

_a :    Tuple														=		{
    """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,
}

_a :    Tuple														=		"""▁"""






class    _UpperCAmelCase(   a_     ):
		lowercase__      =				VOCAB_FILES_NAMES
		lowercase__      =				PRETRAINED_VOCAB_FILES_MAP
		lowercase__      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



		def __init__( self    ,		__a    ,		__a=True    ,		__a=True    ,		__a=False    ,		__a="[CLS]"    ,		__a="[SEP]"    ,		__a="<unk>"    ,		__a="[SEP]"    ,		__a="<pad>"    ,		__a="[CLS]"    ,		__a="[MASK]"    ,		__a = None    ,		**__a    ,		)	->	None:






							'''simple docstring'''
							_UpperCamelCase										=  (
							    AddedToken(lowercase_    ,		lstrip=lowercase_    ,		rstrip=lowercase_    ,		normalized=lowercase_)
							    if isinstance(lowercase_    ,		lowercase_)
							    else mask_token
							)

							_UpperCamelCase										=  {} if sp_model_kwargs is None else sp_model_kwargs

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

							_UpperCamelCase										=  do_lower_case
							_UpperCamelCase										=  remove_space
							_UpperCamelCase										=  keep_accents
							_UpperCamelCase										=  vocab_file

							_UpperCamelCase										=  spm.SentencePieceProcessor(**self.sp_model_kwargs)
							self.sp_model.Load(lowercase_)



		@property
		def 						UpperCAmelCase							( self)	->	int:






							'''simple docstring'''
							return len(self.sp_model)



		def 						UpperCAmelCase							( self)	->	List[str]:






							'''simple docstring'''
							_UpperCamelCase										=  {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)	->	Any:






							'''simple docstring'''
							_UpperCamelCase										=  self.__dict__.copy()
							_UpperCamelCase										=  None
							return state



		def __setstate__( self    ,		__a)	->	Tuple:






							'''simple docstring'''
							_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 						UpperCAmelCase							( self    ,		__a)	->	Any:






							'''simple docstring'''

							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'''    ,		lowercase_)
												_UpperCamelCase										=  ''''''.join([c for c in outputs if not unicodedata.combining(lowercase_)])
							if self.do_lower_case:
												_UpperCamelCase										=  outputs.lower()

							return outputs



		def 						UpperCAmelCase							( self    ,		__a)	->	List[str]:






							'''simple docstring'''
							_UpperCamelCase										=  self.preprocess_text(lowercase_)
							_UpperCamelCase										=  self.sp_model.encode(lowercase_    ,		out_type=lowercase_)
							_UpperCamelCase										=  []
							for piece in pieces:
												if len(lowercase_) > 1 and piece[-1] == str(''',''') and piece[-2].isdigit():
																	_UpperCamelCase										=  self.sp_model.EncodeAsPieces(piece[:-1].replace(lowercase_    ,		''''''))
																	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(lowercase_)
												else:
																	new_pieces.append(lowercase_)

							return new_pieces



		def 						UpperCAmelCase							( self    ,		__a)	->	List[str]:






							'''simple docstring'''
							return self.sp_model.PieceToId(lowercase_)



		def 						UpperCAmelCase							( self    ,		__a)	->	Any:






							'''simple docstring'''
							return self.sp_model.IdToPiece(lowercase_)



		def 						UpperCAmelCase							( self    ,		__a)	->	List[str]:






							'''simple docstring'''
							_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(lowercase_) + token
																	_UpperCamelCase										=  True
																	_UpperCamelCase										=  []
												else:
																	current_sub_tokens.append(lowercase_)
																	_UpperCamelCase										=  False
							out_string += self.sp_model.decode(lowercase_)
							return out_string.strip()



		def 						UpperCAmelCase							( self    ,		__a    ,		__a = None)	->	List[int]:






							'''simple docstring'''
							_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 						UpperCAmelCase							( self    ,		__a    ,		__a = None    ,		__a = False)	->	List[int]:






							'''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 not None:
												return [1] + ([0] * len(lowercase_)) + [1] + ([0] * len(lowercase_)) + [1]
							return [1] + ([0] * len(lowercase_)) + [1]



		def 						UpperCAmelCase							( self    ,		__a    ,		__a = None)	->	List[int]:






							'''simple docstring'''
							_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 						UpperCAmelCase							( self    ,		__a    ,		__a = None)	->	Tuple[str]:






							'''simple docstring'''

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

							return (out_vocab_file,)








"""simple docstring"""





from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
				from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline






