
'''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 SPIECE_UNDERLINE, logging


__snake_case:  Tuple								=			logging.get_logger(__name__)

__snake_case:  int								=			{"vocab_file": "spiece.model"}

__snake_case:  Dict								=			{
    "vocab_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model",
    }
}


class  _UpperCAmelCase ( lowerCAmelCase__    ):

					"""simple docstring"""

					def __init__(      self							,		lowerCAmelCase_							,		lowerCAmelCase_=False							,		lowerCAmelCase_=True							,		lowerCAmelCase_=False							,		lowerCAmelCase_="<s>"							,		lowerCAmelCase_="</s>"							,		lowerCAmelCase_="<unk>"							,		lowerCAmelCase_="<sep>"							,		lowerCAmelCase_="<pad>"							,		lowerCAmelCase_="<cls>"							,		lowerCAmelCase_="<mask>"							,		lowerCAmelCase_=["<eop>", "<eod>"]							,		lowerCAmelCase_ = None							,		**lowerCAmelCase_							,		):

							'''simple docstring'''

							a_      :	Optional[int]      =							AddedToken(lowerCAmelCase_							,		lstrip=lowerCAmelCase_							,		rstrip=lowerCAmelCase_ ) if isinstance(lowerCAmelCase_							,		lowerCAmelCase_ ) else mask_token

							a_      :	List[str]      =							{} 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_							,		additional_special_tokens=lowerCAmelCase_							,		sp_model_kwargs=self.sp_model_kwargs							,		**lowerCAmelCase_							,		)

							a_      :	str      =							3

							a_      :	Tuple      =							do_lower_case
							a_      :	Dict      =							remove_space
							a_      :	int      =							keep_accents
							a_      :	Union[str, Any]      =							vocab_file

							a_      :	Dict      =							spm.SentencePieceProcessor(**self.sp_model_kwargs )
							self.sp_model.Load(lowerCAmelCase_ )

							try:
									import jieba
							except ModuleNotFoundError as error:
									raise error.__class__(
									    """You need to install jieba to use CpmTokenizer or CpmTokenizerFast. """
									    """See https://pypi.org/project/jieba/ for installation.""" )
							a_      :	Optional[int]      =							jieba
							a_      :	List[str]      =							str.maketrans(""" \n"""							,		"""\u2582\u2583""" )


					@property
					# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
					def 							_lowerCAmelCase  (      self ):

							'''simple docstring'''

							return len(self.sp_model )


					def 							_lowerCAmelCase  (      self ):

							'''simple docstring'''

							a_      :	Any      =							{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 ):

							'''simple docstring'''

							a_      :	Union[str, Any]      =							self.__dict__.copy()
							a_      :	List[Any]      =							None
							return state


					def __setstate__(      self							,		lowerCAmelCase_ ):

							'''simple docstring'''

							a_      :	Any      =							d

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

							a_      :	List[str]      =							spm.SentencePieceProcessor(**self.sp_model_kwargs )
							self.sp_model.Load(self.vocab_file )


					def 							_lowerCAmelCase  (      self							,		lowerCAmelCase_ ):

							'''simple docstring'''

							if self.remove_space:
									a_      :	List[str]      =							""" """.join(inputs.strip().split() )
							else:
									a_      :	Dict      =							inputs
							a_      :	Union[str, Any]      =							outputs.replace("""``"""							,		"""\"""" ).replace("""''"""							,		"""\"""" )

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

							return outputs


					def 							_lowerCAmelCase  (      self							,		lowerCAmelCase_ ):

							'''simple docstring'''

							a_      :	int      =							self.preprocess_text(lowerCAmelCase_ )
							a_      :	Dict      =							self.sp_model.encode(lowerCAmelCase_							,		out_type=lowerCAmelCase_ )
							a_      :	Tuple      =							[]
							for piece in pieces:
									if len(lowerCAmelCase_ ) > 1 and piece[-1] == str(""",""" ) and piece[-2].isdigit():
											a_      :	List[Any]      =							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:
															a_      :	Optional[int]      =							cur_pieces[1:]
													else:
															a_      :	Tuple      =							cur_pieces[0][1:]
											cur_pieces.append(piece[-1] )
											new_pieces.extend(lowerCAmelCase_ )
									else:
											new_pieces.append(lowerCAmelCase_ )

							return new_pieces


					def 							_lowerCAmelCase  (      self							,		lowerCAmelCase_ ):

							'''simple docstring'''

							return self.sp_model.PieceToId(lowerCAmelCase_ )


					def 							_lowerCAmelCase  (      self							,		lowerCAmelCase_ ):

							'''simple docstring'''

							return self.sp_model.IdToPiece(lowerCAmelCase_ )


					def 							_lowerCAmelCase  (      self							,		lowerCAmelCase_ ):

							'''simple docstring'''

							a_      :	Dict      =							"""""".join(lowerCAmelCase_ ).replace(lowerCAmelCase_							,		""" """ ).strip()
							return out_string


					def 							_lowerCAmelCase  (      self							,		lowerCAmelCase_							,		lowerCAmelCase_ = None ):

							'''simple docstring'''

							a_      :	Union[str, Any]      =							[self.sep_token_id]
							a_      :	Dict      =							[self.cls_token_id]
							if token_ids_a is None:
									return token_ids_a + sep + cls
							return token_ids_a + sep + token_ids_a + sep + cls


					def 							_lowerCAmelCase  (      self							,		lowerCAmelCase_							,		lowerCAmelCase_ = None							,		lowerCAmelCase_ = False ):

							'''simple docstring'''

							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 ([0] * len(lowerCAmelCase_ )) + [1] + ([0] * len(lowerCAmelCase_ )) + [1, 1]
							return ([0] * len(lowerCAmelCase_ )) + [1, 1]


					def 							_lowerCAmelCase  (      self							,		lowerCAmelCase_							,		lowerCAmelCase_ = None ):

							'''simple docstring'''

							a_      :	Any      =							[self.sep_token_id]
							a_      :	List[str]      =							[2]

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


					def 							_lowerCAmelCase  (      self							,		lowerCAmelCase_							,		lowerCAmelCase_ = None ):

							'''simple docstring'''

							if not os.path.isdir(lowerCAmelCase_ ):
									logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
									return
							a_      :	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:
											a_      :	Union[str, Any]      =							self.sp_model.serialized_model_proto()
											fi.write(lowerCAmelCase_ )

							return (out_vocab_file,)






					def 							_lowerCAmelCase  (      self							,		*lowerCAmelCase_							,		**lowerCAmelCase_ ):

							'''simple docstring'''

							a_      :	Any      =							super()._decode(*lowerCAmelCase_							,		**lowerCAmelCase_ )
							a_      :	Dict      =							text.replace(""" """							,		"""""" ).replace("""\u2582"""							,		""" """ ).replace("""\u2583"""							,		"""\n""" )
							return text




'''simple docstring'''

from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available


@dataclass
class  _UpperCAmelCase ( lowerCAmelCase__    ):

     """simple docstring"""

     a_    	=					42
     a_    	=					42


if is_transformers_available() and is_torch_available():
    from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline


