
'''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


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

UpperCAmelCase_							: List[Any] =							{'vocab_file': 'vocab.txt'}

UpperCAmelCase_							: Union[str, Any] =							{
    'vocab_file': {
        'openbmb/cpm-ant-10b': 'https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt',
    },
}

UpperCAmelCase_							: List[Any] =							{
    'openbmb/cpm-ant-10b': 1024,
}







def 		A_							(						_lowerCAmelCase :     str				):



      """simple docstring"""




      _lowerCamelCase					: Tuple		    = collections.OrderedDict()
      with open(_lowerCAmelCase					,						"r"					,						encoding="utf-8"				) as reader:
            _lowerCamelCase					: List[Any]		    = reader.readlines()
      for index, token in enumerate(_lowerCAmelCase				):
            _lowerCamelCase					: Any		    = token.rstrip("\n"				)
            _lowerCamelCase					: Union[str, Any]		    = index
      return vocab

class 			UpperCAmelCase__    (							A			):



    def __init__(						self   :							List[str],__A   :							Union[str, Any],__A   :							List[Any]="<unk>",__A   :							List[str]=2_0_0  ):
          _lowerCamelCase					: List[Any]		    = vocab
          _lowerCamelCase					: Optional[Any]		    = unk_token
          _lowerCamelCase					: List[str]		    = max_input_chars_per_word



    def 	lowerCamelCase_	(						self   :							Optional[int],__A   :							Any  ):
          _lowerCamelCase					: List[str]		    = list(__A  )
          if len(__A  ) > self.max_input_chars_per_word:
                return [self.unk_token]

          _lowerCamelCase					: List[str]		    = 0
          _lowerCamelCase					: Tuple		    = []
          while start < len(__A  ):
                _lowerCamelCase					: List[str]		    = len(__A  )
                _lowerCamelCase					: Any		    = None
                while start < end:
                      _lowerCamelCase					: Union[str, Any]		    = "".join(chars[start:end]  )
                      if substr in self.vocab:
                            _lowerCamelCase					: Optional[int]		    = substr
                            break
                      end -= 1
                if cur_substr is None:
                      sub_tokens.append(self.unk_token  )
                      start += 1
                else:
                      sub_tokens.append(__A  )
                      _lowerCamelCase					: Dict		    = end

          return sub_tokens


class 			UpperCAmelCase__    (							A			):
    lowerCAmelCase_					     =		VOCAB_FILES_NAMES
    lowerCAmelCase_					     =		PRETRAINED_VOCAB_FILES_MAP
    lowerCAmelCase_					     =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCAmelCase_					     =		['input_ids', 'attention_mask']
    lowerCAmelCase_					     =		False



    def __init__(						self   :							List[str],__A   :							Dict,__A   :							Union[str, Any]="<d>",__A   :							Union[str, Any]="</d>",__A   :							Optional[Any]="<s>",__A   :							Any="</s>",__A   :							Optional[Any]="<pad>",__A   :							Tuple="<unk>",__A   :							Any="</n>",__A   :							Tuple="</_>",__A   :							Tuple="left",**__A   :							List[str],):
          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,)
          _lowerCamelCase					: int		    = bod_token
          _lowerCamelCase					: Any		    = eod_token
          _lowerCamelCase					: Optional[Any]		    = load_vocab(__A  )
          _lowerCamelCase					: Union[str, Any]		    = self.encoder[space_token]
          _lowerCamelCase					: Optional[Any]		    = self.encoder[line_token]

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

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

          _lowerCamelCase					: int		    = WordpieceTokenizer(vocab=self.encoder,unk_token=self.unk_token  )



    @property
    def 	lowerCamelCase_	(						self   :							Dict  ):
          return self.encoder[self.bod_token]



    @property
    def 	lowerCamelCase_	(						self   :							List[str]  ):
          return self.encoder[self.eod_token]



    @property
    def 	lowerCamelCase_	(						self   :							List[str]  ):
          return self.encoder["\n"]



    @property
    def 	lowerCamelCase_	(						self   :							Any  ):
          return len(self.encoder  )



    def 	lowerCamelCase_	(						self   :							Optional[Any]  ):
          return dict(self.encoder,**self.added_tokens_encoder  )



    def 	lowerCamelCase_	(						self   :							str,__A   :							int  ):
          _lowerCamelCase					: Tuple		    = []
          for x in jieba.cut(__A,cut_all=__A  ):
                output_tokens.extend(self.wordpiece_tokenizer.tokenize(__A  )  )
          return output_tokens



    def 	lowerCamelCase_	(						self   :							Optional[Any],__A   :							str,**__A   :							List[Any]  ):
          _lowerCamelCase					: List[str]		    = [i for i in token_ids if i >= 0]
          _lowerCamelCase					: str		    = [
              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 	lowerCamelCase_	(						self   :							Tuple,__A   :							Optional[Any]  ):
          return token in self.encoder



    def 	lowerCamelCase_	(						self   :							Any,__A   :							List[str]  ):
          return "".join(__A  )



    def 	lowerCamelCase_	(						self   :							Tuple,__A   :							Optional[Any]  ):
          return self.encoder.get(__A,self.encoder.get(self.unk_token  )  )



    def 	lowerCamelCase_	(						self   :							Union[str, Any],__A   :							Union[str, Any]  ):
          return self.decoder.get(__A,self.unk_token  )



    def 	lowerCamelCase_	(						self   :							str,__A   :							str,__A   :							Optional[str] = None  ):
          if os.path.isdir(__A  ):
                _lowerCamelCase					: List[Any]		    = os.path.join(
                    __A,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]  )
          else:
                _lowerCamelCase					: Optional[Any]		    = (filename_prefix + "-" if filename_prefix else "") + save_directory
          _lowerCamelCase					: Any		    = 0
          if " " in self.encoder:
                _lowerCamelCase					: Optional[Any]		    = self.encoder[" "]
                del self.encoder[" "]
          if "\n" in self.encoder:
                _lowerCamelCase					: List[Any]		    = self.encoder["\n"]
                del self.encoder["\n"]
          _lowerCamelCase					: str		    = 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!"  )
                            _lowerCamelCase					: Dict		    = token_index
                      writer.write(token + "\n"  )
                      index += 1
          return (vocab_file,)



    def 	lowerCamelCase_	(						self   :							List[Any],__A   :							List[int],__A   :							List[int] = None  ):
          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 	lowerCamelCase_	(						self   :							Optional[int],__A   :							List[int],__A   :							Optional[List[int]] = None,__A   :							bool = False  ):

          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  ))

from __future__ import annotations

from collections.abc import Iterable, Iterator
from dataclasses import dataclass

lowerCamelCase  =(3, 9, -1_1, 0, 7, 5, 1, -1)
lowerCamelCase  =(4, 6, 2, 0, 8, 1_0, 3, -2)




@dataclass
class 					_lowerCamelCase			:





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		 =	42
     SCREAMING_SNAKE_CASE_		 =	42




class 					_lowerCamelCase			:





     """simple docstring"""







     def __init__(				self    ,    __SCREAMING_SNAKE_CASE	)	-> None:




           """simple docstring"""







           UpperCamelCase__     : Node | None											=					None
           for i in sorted(__SCREAMING_SNAKE_CASE    ,    reverse=__SCREAMING_SNAKE_CASE	):
                 UpperCamelCase__     : List[str]											=					Node(__SCREAMING_SNAKE_CASE    ,    self.head	)






     def __iter__(				self	)	-> Iterator[int]:




           """simple docstring"""







           UpperCamelCase__     : int											=					self.head
           while node:
                 yield node.data
                 UpperCamelCase__     : List[Any]											=					node.next_node






     def __len__(				self	)	-> int:




           """simple docstring"""







           return sum(1 for _ in self	)






     def __str__(				self	)	-> str:




           """simple docstring"""







           return " -> ".join([str(__SCREAMING_SNAKE_CASE	) for node in self]	)


def 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__			,		UpperCamelCase__		):
      return SortedLinkedList(list(UpperCamelCase__		) + list(UpperCamelCase__		)		)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    lowerCamelCase  =SortedLinkedList
    print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))


