

'''simple docstring'''
import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
     import jieba

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCamelCase :      Optional[int]					 =     logging.get_logger(__name__)

lowerCamelCase :      Optional[int]					 =     {"vocab_file": "vocab.txt"}

lowerCamelCase :      Dict					 =     {
    "vocab_file": {
        "openbmb/cpm-ant-10b": "https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt",
    },
}

lowerCamelCase :      int					 =     {
    "openbmb/cpm-ant-10b": 1_0_2_4,
}


def        _lowerCAmelCase					(						_UpperCamelCase						:     Tuple				)      ->			List[Any]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							    =collections.OrderedDict()
     with open(_UpperCamelCase							, 'r'							, encoding='utf-8'				) as reader:
          _SCREAMING_SNAKE_CASE							    =reader.readlines()
     for index, token in enumerate(_UpperCamelCase				):
          _SCREAMING_SNAKE_CASE							    =token.rstrip('\n'				)
          _SCREAMING_SNAKE_CASE							    =index
     return vocab







class 							A__    (       A__  ):





  def __init__(		self      :	Dict							,					_a      :	Any							,					_a      :	Optional[int]="<unk>"							,					_a      :	Dict=200 )	->    List[str]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =vocab
       _SCREAMING_SNAKE_CASE							    =unk_token
       _SCREAMING_SNAKE_CASE							    =max_input_chars_per_word





  def 						A  (		self      :	Dict							,					_a      :	Dict )	->    int:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =list(_a )
       if len(_a ) > self.max_input_chars_per_word:
            return [self.unk_token]

       _SCREAMING_SNAKE_CASE							    =0
       _SCREAMING_SNAKE_CASE							    =[]
       while start < len(_a ):
            _SCREAMING_SNAKE_CASE							    =len(_a )
            _SCREAMING_SNAKE_CASE							    =None
            while start < end:
                 _SCREAMING_SNAKE_CASE							    =''.join(chars[start:end] )
                 if substr in self.vocab:
                      _SCREAMING_SNAKE_CASE							    =substr
                      break
                 end -= 1
            if cur_substr is None:
                 sub_tokens.append(self.unk_token )
                 start += 1
            else:
                 sub_tokens.append(_a )
                 _SCREAMING_SNAKE_CASE							    =end

       return sub_tokens







class 							A__    (       A__  ):
  A__		 =				VOCAB_FILES_NAMES
  A__		 =				PRETRAINED_VOCAB_FILES_MAP
  A__		 =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  A__		 =				['input_ids', 'attention_mask']
  A__		 =				False





  def __init__(		self      :	Optional[Any]							,					_a      :	List[Any]							,					_a      :	int="<d>"							,					_a      :	Optional[Any]="</d>"							,					_a      :	List[Any]="<s>"							,					_a      :	Optional[int]="</s>"							,					_a      :	Tuple="<pad>"							,					_a      :	List[Any]="<unk>"							,					_a      :	Optional[Any]="</n>"							,					_a      :	Dict="</_>"							,					_a      :	List[Any]="left"							,					**_a      :	Union[str, Any]							,					)	->    List[str]:





       '''simple docstring'''






       requires_backends(self							,					['jieba'] )
       super().__init__(
           bod_token=_a							,					eod_token=_a							,					bos_token=_a							,					eos_token=_a							,					pad_token=_a							,					unk_token=_a							,					line_token=_a							,					space_token=_a							,					padding_side=_a							,					**_a							,					)
       _SCREAMING_SNAKE_CASE							    =bod_token
       _SCREAMING_SNAKE_CASE							    =eod_token
       _SCREAMING_SNAKE_CASE							    =load_vocab(_a )
       _SCREAMING_SNAKE_CASE							    =self.encoder[space_token]
       _SCREAMING_SNAKE_CASE							    =self.encoder[line_token]

       del self.encoder[space_token]
       del self.encoder[line_token]

       _SCREAMING_SNAKE_CASE							    =collections.OrderedDict(sorted(self.encoder.items()							,					key=lambda _a : x[1] ) )
       _SCREAMING_SNAKE_CASE							    ={v: k for k, v in self.encoder.items()}

       _SCREAMING_SNAKE_CASE							    =WordpieceTokenizer(vocab=self.encoder							,					unk_token=self.unk_token )





  @property
  def 						A  (		self      :	Any )	->    Tuple:





       '''simple docstring'''






       return self.encoder[self.bod_token]





  @property
  def 						A  (		self      :	Optional[Any] )	->    List[Any]:





       '''simple docstring'''






       return self.encoder[self.eod_token]





  @property
  def 						A  (		self      :	str )	->    Optional[Any]:





       '''simple docstring'''






       return self.encoder["\n"]





  @property
  def 						A  (		self      :	Any )	->    int:





       '''simple docstring'''






       return len(self.encoder )





  def 						A  (		self      :	List[str] )	->    Union[str, Any]:





       '''simple docstring'''






       return dict(self.encoder							,					**self.added_tokens_encoder )





  def 						A  (		self      :	int							,					_a      :	Tuple )	->    List[Any]:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =[]
       for x in jieba.cut(_a							,					cut_all=_a ):
            output_tokens.extend(self.wordpiece_tokenizer.tokenize(_a ) )
       return output_tokens





  def 						A  (		self      :	Union[str, Any]							,					_a      :	Tuple							,					**_a      :	int )	->    Dict:





       '''simple docstring'''






       _SCREAMING_SNAKE_CASE							    =[i for i in token_ids if i >= 0]
       _SCREAMING_SNAKE_CASE							    =[
           x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
       ]
       return super()._decode(_a							,					**_a )





  def 						A  (		self      :	int							,					_a      :	Optional[int] )	->    Dict:





       '''simple docstring'''






       return token in self.encoder





  def 						A  (		self      :	List[Any]							,					_a      :	List[str] )	->    str:





       '''simple docstring'''






       return "".join(_a )





  def 						A  (		self      :	int							,					_a      :	List[Any] )	->    str:





       '''simple docstring'''






       return self.encoder.get(_a							,					self.encoder.get(self.unk_token ) )





  def 						A  (		self      :	Tuple							,					_a      :	List[Any] )	->    List[str]:





       '''simple docstring'''






       return self.decoder.get(_a							,					self.unk_token )





  def 						A  (		self      :	Any							,					_a      :	str							,					_a      :	Optional[str] = None )	->    Tuple[str]:





       '''simple docstring'''






       if os.path.isdir(_a ):
            _SCREAMING_SNAKE_CASE							    =os.path.join(
                _a							,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )
       else:
            _SCREAMING_SNAKE_CASE							    =(filename_prefix + '-' if filename_prefix else '') + save_directory
       _SCREAMING_SNAKE_CASE							    =0
       if " " in self.encoder:
            _SCREAMING_SNAKE_CASE							    =self.encoder[' ']
            del self.encoder[" "]
       if "\n" in self.encoder:
            _SCREAMING_SNAKE_CASE							    =self.encoder['\n']
            del self.encoder["\n"]
       _SCREAMING_SNAKE_CASE							    =collections.OrderedDict(sorted(self.encoder.items()							,					key=lambda _a : x[1] ) )
       with open(_a							,					'w'							,					encoding='utf-8' ) as writer:
            for token, token_index in self.encoder.items():
                 if index != token_index:
                      logger.warning(
                          f"Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."
                          ' Please check that the vocabulary is not corrupted!' )
                      _SCREAMING_SNAKE_CASE							    =token_index
                 writer.write(token + '\n' )
                 index += 1
       return (vocab_file,)





  def 						A  (		self      :	List[Any]							,					_a      :	List[int]							,					_a      :	List[int] = None )	->    List[int]:





       '''simple docstring'''






       if token_ids_a is None:
            return [self.bos_token_id] + token_ids_a
       return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a





  def 						A  (		self      :	Tuple							,					_a      :	List[int]							,					_a      :	Optional[List[int]] = None							,					_a      :	bool = False )	->    List[int]:





       '''simple docstring'''






       if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=_a							,					token_ids_a=_a							,					already_has_special_tokens=_a )

       if token_ids_a is not None:
            return [1] + ([0] * len(_a )) + [1] + ([0] * len(_a ))
       return [1] + ([0] * len(_a ))

'''simple docstring'''

import unittest

from knapsack import knapsack as k



class 			UpperCAmelCase  (						unittest.TestCase					):





       '''simple docstring'''



       def _lowerCAmelCase(						self )  ->  Tuple:
        lowercase__				:    Optional[Any]  =					0
        lowercase__				:    Any  =					[0]
        lowercase__				:    List[Any]  =					[0]
        lowercase__				:    Optional[Any]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   0 )

        lowercase__				:    List[str]  =					[60]
        lowercase__				:    List[str]  =					[10]
        lowercase__				:    List[str]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   0 )

       def _lowerCAmelCase(						self )  ->  Optional[Any]:
        lowercase__				:    Optional[Any]  =					3
        lowercase__				:    List[Any]  =					[1, 2, 3]
        lowercase__				:    Union[str, Any]  =					[3, 2, 1]
        lowercase__				:    List[Any]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   5 )


       def _lowerCAmelCase(						self )  ->  Optional[Any]:
        lowercase__				:    int  =					50
        lowercase__				:    Any  =					[60, 100, 120]
        lowercase__				:    int  =					[10, 20, 30]
        lowercase__				:    Optional[Any]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   220 )


if __name__ == "__main__":
  unittest.main()

