

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


_SCREAMING_SNAKE_CASE  :						str         =    logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE  :						List[Any]         =    {'''vocab_file''': '''spiece.model'''}

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






class  UpperCAmelCase__	( A__ ):






  """simple docstring"""


  def __init__(							self		:	Any			,     __lowerCamelCase		:	Any			,     __lowerCamelCase		:	Tuple=False			,     __lowerCamelCase		:	Any=True			,     __lowerCamelCase		:	List[Any]=False			,     __lowerCamelCase		:	str="<s>"			,     __lowerCamelCase		:	Optional[Any]="</s>"			,     __lowerCamelCase		:	Optional[int]="<unk>"			,     __lowerCamelCase		:	List[Any]="<sep>"			,     __lowerCamelCase		:	Tuple="<pad>"			,     __lowerCamelCase		:	List[Any]="<cls>"			,     __lowerCamelCase		:	List[Any]="<mask>"			,     __lowerCamelCase		:	List[Any]=["<eop>", "<eod>"]			,     __lowerCamelCase		:	Optional[Dict[str, Any]] = None			,     **__lowerCamelCase		:	int			,     )	->							None:
       SCREAMING_SNAKE_CASE__					=					AddedToken(__lowerCamelCase			,     lstrip=__lowerCamelCase			,     rstrip=__lowerCamelCase      ) if isinstance(__lowerCamelCase			,     __lowerCamelCase      ) else mask_token

       SCREAMING_SNAKE_CASE__					=					{} 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			,     )

       SCREAMING_SNAKE_CASE__					=					3

       SCREAMING_SNAKE_CASE__					=					do_lower_case
       SCREAMING_SNAKE_CASE__					=					remove_space
       SCREAMING_SNAKE_CASE__					=					keep_accents
       SCREAMING_SNAKE_CASE__					=					vocab_file

       SCREAMING_SNAKE_CASE__					=					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.'''      )
       SCREAMING_SNAKE_CASE__					=					jieba
       SCREAMING_SNAKE_CASE__					=					str.maketrans(''' \n'''			,     '''\u2582\u2583'''      )






  @property
  # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
  def    lowercase_	(							self		:	List[Any]      )	->							Optional[Any]:
       return len(self.sp_model      )






  def    lowercase_	(							self		:	Union[str, Any]      )	->							int:
       SCREAMING_SNAKE_CASE__					=					{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      )	->							str:
       SCREAMING_SNAKE_CASE__					=					self.__dict__.copy()
       SCREAMING_SNAKE_CASE__					=					None
       return state






  def __setstate__(							self		:	Union[str, Any]			,     __lowerCamelCase		:	Any      )	->							Tuple:
       SCREAMING_SNAKE_CASE__					=					d

       # for backward compatibility
       if not hasattr(self			,     '''sp_model_kwargs'''      ):
            SCREAMING_SNAKE_CASE__					=					{}

       SCREAMING_SNAKE_CASE__					=					spm.SentencePieceProcessor(**self.sp_model_kwargs      )
       self.sp_model.Load(self.vocab_file      )






  def    lowercase_	(							self		:	Any			,     __lowerCamelCase		:	int      )	->							List[Any]:
       if self.remove_space:
            SCREAMING_SNAKE_CASE__					=					''' '''.join(inputs.strip().split()      )
       else:
            SCREAMING_SNAKE_CASE__					=					inputs
       SCREAMING_SNAKE_CASE__					=					outputs.replace('''``'''			,     '''"'''      ).replace('''\'\''''			,     '''"'''      )

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

       return outputs






  def    lowercase_	(							self		:	Dict			,     __lowerCamelCase		:	str      )	->							List[str]:
       SCREAMING_SNAKE_CASE__					=					self.preprocess_text(__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					self.sp_model.encode(__lowerCamelCase			,     out_type=__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					[]
       for piece in pieces:
            if len(__lowerCamelCase      ) > 1 and piece[-1] == str(''','''      ) and piece[-2].isdigit():
                 SCREAMING_SNAKE_CASE__					=					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:
                           SCREAMING_SNAKE_CASE__					=					cur_pieces[1:]
                      else:
                           SCREAMING_SNAKE_CASE__					=					cur_pieces[0][1:]
                 cur_pieces.append(piece[-1]      )
                 new_pieces.extend(__lowerCamelCase      )
            else:
                 new_pieces.append(__lowerCamelCase      )

       return new_pieces






  def    lowercase_	(							self		:	int			,     __lowerCamelCase		:	Optional[int]      )	->							Optional[Any]:
       return self.sp_model.PieceToId(__lowerCamelCase      )






  def    lowercase_	(							self		:	List[Any]			,     __lowerCamelCase		:	Any      )	->							List[str]:
       return self.sp_model.IdToPiece(__lowerCamelCase      )






  def    lowercase_	(							self		:	Optional[int]			,     __lowerCamelCase		:	List[Any]      )	->							Optional[int]:
       SCREAMING_SNAKE_CASE__					=					''''''.join(__lowerCamelCase      ).replace(__lowerCamelCase			,     ''' '''      ).strip()
       return out_string






  def    lowercase_	(							self		:	int			,     __lowerCamelCase		:	List[int]			,     __lowerCamelCase		:	Optional[List[int]] = None      )	->							List[int]:
       SCREAMING_SNAKE_CASE__					=					[self.sep_token_id]
       SCREAMING_SNAKE_CASE__					=					[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		:	Union[str, Any]			,     __lowerCamelCase		:	List[int]			,     __lowerCamelCase		:	Optional[List[int]] = None			,     __lowerCamelCase		:	bool = False      )	->							List[int]:

       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		:	List[Any]			,     __lowerCamelCase		:	List[int]			,     __lowerCamelCase		:	Optional[List[int]] = None      )	->							List[int]:
       SCREAMING_SNAKE_CASE__					=					[self.sep_token_id]
       SCREAMING_SNAKE_CASE__					=					[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		:	Any			,     __lowerCamelCase		:	str			,     __lowerCamelCase		:	Optional[str] = None      )	->							Tuple[str]:
       if not os.path.isdir(__lowerCamelCase      ):
            logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''      )
            return
       SCREAMING_SNAKE_CASE__					=					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:
                 SCREAMING_SNAKE_CASE__					=					self.sp_model.serialized_model_proto()
                 fi.write(__lowerCamelCase      )

       return (out_vocab_file,)







  def    lowercase_	(							self		:	List[Any]			,     *__lowerCamelCase		:	List[Any]			,     **__lowerCamelCase		:	Optional[Any]      )	->							List[Any]:
       SCREAMING_SNAKE_CASE__					=					super()._decode(*__lowerCamelCase			,     **__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					text.replace(''' '''			,     ''''''      ).replace('''\u2582'''			,     ''' '''      ).replace('''\u2583'''			,     '''\n'''      )
       return text





import math






class  UpperCAmelCase__	:






  """simple docstring"""


  def    lowercase_	(							self		:	int			,     __lowerCamelCase		:	list[list[float]]			,     __lowerCamelCase		:	list[int]      )	->							int:
       SCREAMING_SNAKE_CASE__					=					0.0
       SCREAMING_SNAKE_CASE__					=					0.0
       for i in range(len(__lowerCamelCase      )      ):
            da += math.pow((sample[i] - weights[0][i])			,     2      )
            da += math.pow((sample[i] - weights[1][i])			,     2      )
            return 0 if da > da else 1
       return 0







  def    lowercase_	(							self		:	Optional[int]			,     __lowerCamelCase		:	list[list[int | float]]			,     __lowerCamelCase		:	list[int]			,     __lowerCamelCase		:	int			,     __lowerCamelCase		:	float      )	->							list[list[int | float]]:
       for i in range(len(__lowerCamelCase      )      ):
            weights[j][i] += alpha * (sample[i] - weights[j][i])
       return weights



def        UpperCAmelCase_     (		):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					[[1, 1, 0, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 0, 1, 1]]

     # weight initialization ( n, C )
     SCREAMING_SNAKE_CASE__					=					[[0.2, 0.6, 0.5, 0.9], [0.8, 0.4, 0.7, 0.3]]

     # training
     SCREAMING_SNAKE_CASE__					=					SelfOrganizingMap()
     SCREAMING_SNAKE_CASE__					=					3
     SCREAMING_SNAKE_CASE__					=					0.5

     for _ in range(_A       ):
          for j in range(len(_A       )       ):
               # training sample
               SCREAMING_SNAKE_CASE__					=					training_samples[j]

               # Compute the winning vector
               SCREAMING_SNAKE_CASE__					=					self_organizing_map.get_winner(_A   ,	_A       )

               # Update the winning vector
               SCREAMING_SNAKE_CASE__					=					self_organizing_map.update(_A   ,	_A   ,	_A   ,	_A       )

    # classify test sample
     SCREAMING_SNAKE_CASE__					=					[0, 0, 0, 1]
     SCREAMING_SNAKE_CASE__					=					self_organizing_map.get_winner(_A   ,	_A       )

     # results
     print(F'''Clusters that the test sample belongs to : {winner}'''       )
     print(F'''Weights that have been trained : {weights}'''       )


# running the main() function
if __name__ == "__main__":
       main()


