






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


A_       :str       =						logging.get_logger(__name__)

A_       :Optional[int]       =						{'''vocab_file''': '''spiece.model'''}

A_       :str       =						{
    '''vocab_file''': {
        '''TsinghuaAI/CPM-Generate''': '''https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model''',
    }
}




class 				__A     (			a ):





				"""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"""

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

									__UpperCamelCase      :					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__							,  )

									__UpperCamelCase      :					Optional[int]       		=3

									__UpperCamelCase      :					Dict       		=do_lower_case
									__UpperCamelCase      :					Dict       		=remove_space
									__UpperCamelCase      :					Optional[Any]       		=keep_accents
									__UpperCamelCase      :					Tuple       		=vocab_file

									__UpperCamelCase      :					Tuple       		=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.'    )
									__UpperCamelCase      :					Tuple       		=jieba
									__UpperCamelCase      :					Any       		=str.maketrans(' \n'							,  '\u2582\u2583'    )


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




									"""simple docstring"""

									return len(self.sp_model    )


				def       __lowercase							( self    ):




									"""simple docstring"""

									__UpperCamelCase      :					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"""

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


				def __setstate__( self							,  lowerCamelCase__    ):




									"""simple docstring"""

									__UpperCamelCase      :					List[Any]       		=d

									# for backward compatibility
									if not hasattr(self							,  'sp_model_kwargs'    ):
														__UpperCamelCase      :					List[Any]       		={}

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


				def       __lowercase							( self							,  lowerCamelCase__    ):




									"""simple docstring"""

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

									if not self.keep_accents:
														__UpperCamelCase      :					List[str]       		=unicodedata.normalize('NFKD'							,  lowerCamelCase__    )
														__UpperCamelCase      :					List[Any]       		=''.join([c for c in outputs if not unicodedata.combining(lowerCamelCase__    )]    )
									if self.do_lower_case:
														__UpperCamelCase      :					List[Any]       		=outputs.lower()

									return outputs


				def       __lowercase							( self							,  lowerCamelCase__    ):




									"""simple docstring"""

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

									return new_pieces


				def       __lowercase							( self							,  lowerCamelCase__    ):




									"""simple docstring"""

									return self.sp_model.PieceToId(lowerCamelCase__    )


				def       __lowercase							( self							,  lowerCamelCase__    ):




									"""simple docstring"""

									return self.sp_model.IdToPiece(lowerCamelCase__    )


				def       __lowercase							( self							,  lowerCamelCase__    ):




									"""simple docstring"""

									__UpperCamelCase      :					Optional[int]       		=''.join(lowerCamelCase__    ).replace(lowerCamelCase__							,  ' '    ).strip()
									return out_string


				def       __lowercase							( self							,  lowerCamelCase__							,  lowerCamelCase__ = None    ):




									"""simple docstring"""

									__UpperCamelCase      :					Optional[Any]       		=[self.sep_token_id]
									__UpperCamelCase      :					List[Any]       		=[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       __lowercase							( 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       __lowercase							( self							,  lowerCamelCase__							,  lowerCamelCase__ = None    ):




									"""simple docstring"""

									__UpperCamelCase      :					List[str]       		=[self.sep_token_id]
									__UpperCamelCase      :					Any       		=[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       __lowercase							( self							,  lowerCamelCase__							,  lowerCamelCase__ = None    ):




									"""simple docstring"""

									if not os.path.isdir(lowerCamelCase__    ):
														logger.error(f'Vocabulary path ({save_directory}) should be a directory'    )
														return
									__UpperCamelCase      :					Optional[Any]       		=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      :					Optional[Any]       		=self.sp_model.serialized_model_proto()
																			fi.write(lowerCamelCase__    )

									return (out_vocab_file,)







				def       __lowercase							( self							,  *lowerCamelCase__							,  **lowerCamelCase__    ):




									"""simple docstring"""

									__UpperCamelCase      :					int       		=super()._decode(*lowerCamelCase__							,  **lowerCamelCase__    )
									__UpperCamelCase      :					Optional[int]       		=text.replace(' '							,  ''    ).replace('\u2582'							,  ' '    ).replace('\u2583'							,  '\n'    )
									return text






import functools
from typing import Any
def 		UpperCamelCase	(   snake_case__       :    str       ,     snake_case__       :    list[str]	)	->     bool:

   # Validation
   if not isinstance(snake_case__       ,     snake_case__	) or len(snake_case__	) == 0:
      raise ValueError('the string should be not empty string'	)

   if not isinstance(snake_case__       ,     snake_case__	) or not all(
       isinstance(snake_case__       ,     snake_case__	) and len(snake_case__	) > 0 for item in words	):
      raise ValueError('the words should be a list of non-empty strings'	)

   # Build trie
   UpperCamelCase    :  dict[str, Any]							=	{}
   UpperCamelCase    :  List[str]							=	'WORD_KEEPER'

   for word in words:
      UpperCamelCase    :  List[str]							=	trie
      for c in word:
         if c not in trie_node:
            UpperCamelCase    :  int							=	{}

         UpperCamelCase    :  str							=	trie_node[c]

      UpperCamelCase    :  Tuple							=	True

   UpperCamelCase    :  List[Any]							=	len(snake_case__	)

   # Dynamic programming method
   @functools.cache
   def is_breakable(snake_case__       :    int	) -> bool:
      if index == len_string:
         return True

      UpperCamelCase    :  Dict							=	trie
      for i in range(snake_case__       ,     snake_case__	):
         UpperCamelCase    :  List[Any]							=	trie_node.get(string[i]       ,     snake_case__	)

         if trie_node is None:
            return False

         if trie_node.get(snake_case__       ,     snake_case__	) and is_breakable(i + 1	):
            return True

      return False

   return is_breakable(0	)


if __name__ == "__main__":
    import doctest

    doctest.testmod()



