


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_   :				Tuple						      = {'vocab_file': 'vocab.txt'}

UpperCAmelCase_   :				Tuple						      = {
    'vocab_file': {
        'openbmb/cpm-ant-10b': 'https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt',
    },
}

UpperCAmelCase_   :				Dict						      = {
    'openbmb/cpm-ant-10b': 1024,
}







def  SCREAMING_SNAKE_CASE_		(    __A				:    List[str]       )			->	Optional[Any]:

       """simple docstring"""

       a_      :	Optional[int]							=						collections.OrderedDict()
       with open(__A						,					'r'						,					encoding='utf-8'       ) as reader:
              a_      :	Any							=						reader.readlines()
       for index, token in enumerate(__A       ):
              a_      :	Union[str, Any]							=						token.rstrip('\n'       )
              a_      :	Optional[Any]							=						index
       return vocab
class 				SCREAMING_SNAKE_CASE__						(       lowercase__    ):
      def __init__( self       : Any  ,							SCREAMING_SNAKE_CASE__       : Tuple  ,							SCREAMING_SNAKE_CASE__       : Optional[int]="<unk>"  ,							SCREAMING_SNAKE_CASE__       : Optional[int]=2_0_0  )	->    Union[str, Any]:
             a_      :	List[str]							=						vocab
             a_      :	Dict							=						unk_token
             a_      :	Union[str, Any]							=						max_input_chars_per_word

      def  SCREAMING_SNAKE_CASE							( self       : Tuple  ,							SCREAMING_SNAKE_CASE__       : List[str]  )	->    Dict:
             a_      :	int							=						list(SCREAMING_SNAKE_CASE__  )
             if len(SCREAMING_SNAKE_CASE__  ) > self.max_input_chars_per_word:
                    return [self.unk_token]

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

             return sub_tokens
class 				SCREAMING_SNAKE_CASE__						(       lowercase__    ):
      snake_case__       :  str       =		VOCAB_FILES_NAMES
      snake_case__       :  Optional[Any]       =		PRETRAINED_VOCAB_FILES_MAP
      snake_case__       :  int       =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__       :  Tuple       =		['''input_ids''', '''attention_mask''']
      snake_case__       :  Optional[Any]       =		False
      def __init__( self       : List[str]  ,							SCREAMING_SNAKE_CASE__       : Union[str, Any]  ,							SCREAMING_SNAKE_CASE__       : str="<d>"  ,							SCREAMING_SNAKE_CASE__       : Optional[int]="</d>"  ,							SCREAMING_SNAKE_CASE__       : str="<s>"  ,							SCREAMING_SNAKE_CASE__       : List[str]="</s>"  ,							SCREAMING_SNAKE_CASE__       : Any="<pad>"  ,							SCREAMING_SNAKE_CASE__       : Dict="<unk>"  ,							SCREAMING_SNAKE_CASE__       : int="</n>"  ,							SCREAMING_SNAKE_CASE__       : List[str]="</_>"  ,							SCREAMING_SNAKE_CASE__       : int="left"  ,							**SCREAMING_SNAKE_CASE__       : List[Any]  ,							)	->    Any:
             requires_backends(self  ,							['jieba']  )
             super().__init__(
                 bod_token=SCREAMING_SNAKE_CASE__  ,							eod_token=SCREAMING_SNAKE_CASE__  ,							bos_token=SCREAMING_SNAKE_CASE__  ,							eos_token=SCREAMING_SNAKE_CASE__  ,							pad_token=SCREAMING_SNAKE_CASE__  ,							unk_token=SCREAMING_SNAKE_CASE__  ,							line_token=SCREAMING_SNAKE_CASE__  ,							space_token=SCREAMING_SNAKE_CASE__  ,							padding_side=SCREAMING_SNAKE_CASE__  ,							**SCREAMING_SNAKE_CASE__  ,							)
             a_      :	Union[str, Any]							=						bod_token
             a_      :	List[str]							=						eod_token
             a_      :	List[str]							=						load_vocab(SCREAMING_SNAKE_CASE__  )
             a_      :	Any							=						self.encoder[space_token]
             a_      :	Dict							=						self.encoder[line_token]

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

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

             a_      :	str							=						WordpieceTokenizer(vocab=self.encoder  ,							unk_token=self.unk_token  )
      @property
      def  SCREAMING_SNAKE_CASE							( self       : Union[str, Any]  )	->    Dict:
             return self.encoder[self.bod_token]
      @property
      def  SCREAMING_SNAKE_CASE							( self       : List[Any]  )	->    Union[str, Any]:
             return self.encoder[self.eod_token]
      @property
      def  SCREAMING_SNAKE_CASE							( self       : Union[str, Any]  )	->    Tuple:
             return self.encoder["\n"]
      @property
      def  SCREAMING_SNAKE_CASE							( self       : int  )	->    int:
             return len(self.encoder  )
      def  SCREAMING_SNAKE_CASE							( self       : Optional[int]  )	->    str:
             return dict(self.encoder  ,							**self.added_tokens_encoder  )
      def  SCREAMING_SNAKE_CASE							( self       : Any  ,							SCREAMING_SNAKE_CASE__       : List[str]  )	->    Optional[Any]:
             a_      :	Dict							=						[]
             for x in jieba.cut(SCREAMING_SNAKE_CASE__  ,							cut_all=SCREAMING_SNAKE_CASE__  ):
                    output_tokens.extend(self.wordpiece_tokenizer.tokenize(SCREAMING_SNAKE_CASE__  )  )
             return output_tokens
      def  SCREAMING_SNAKE_CASE							( self       : str  ,							SCREAMING_SNAKE_CASE__       : List[str]  ,							**SCREAMING_SNAKE_CASE__       : Optional[Any]  )	->    int:
             a_      :	Tuple							=						[i for i in token_ids if i >= 0]
             a_      :	Tuple							=						[
                 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(SCREAMING_SNAKE_CASE__  ,							**SCREAMING_SNAKE_CASE__  )
      def  SCREAMING_SNAKE_CASE							( self       : Tuple  ,							SCREAMING_SNAKE_CASE__       : List[str]  )	->    Union[str, Any]:
             return token in self.encoder
      def  SCREAMING_SNAKE_CASE							( self       : Optional[Any]  ,							SCREAMING_SNAKE_CASE__       : List[str]  )	->    str:
             return "".join(SCREAMING_SNAKE_CASE__  )
      def  SCREAMING_SNAKE_CASE							( self       : Optional[Any]  ,							SCREAMING_SNAKE_CASE__       : Dict  )	->    List[Any]:
             return self.encoder.get(SCREAMING_SNAKE_CASE__  ,							self.encoder.get(self.unk_token  )  )
      def  SCREAMING_SNAKE_CASE							( self       : Dict  ,							SCREAMING_SNAKE_CASE__       : Optional[int]  )	->    str:
             return self.decoder.get(SCREAMING_SNAKE_CASE__  ,							self.unk_token  )
      def  SCREAMING_SNAKE_CASE							( self       : Tuple  ,							SCREAMING_SNAKE_CASE__       : str  ,							SCREAMING_SNAKE_CASE__       : Optional[str] = None  )	->    Tuple[str]:
             if os.path.isdir(SCREAMING_SNAKE_CASE__  ):
                    a_      :	Optional[int]							=						os.path.join(
                        SCREAMING_SNAKE_CASE__  ,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']  )
             else:
                    a_      :	Union[str, Any]							=						(filename_prefix + '-' if filename_prefix else '') + save_directory
             a_      :	Tuple							=						0
             if " " in self.encoder:
                    a_      :	str							=						self.encoder[' ']
                    del self.encoder[" "]
             if "\n" in self.encoder:
                    a_      :	Dict							=						self.encoder['\n']
                    del self.encoder["\n"]
             a_      :	Tuple							=						collections.OrderedDict(sorted(self.encoder.items()  ,							key=lambda SCREAMING_SNAKE_CASE__  : x[1]  )  )
             with open(SCREAMING_SNAKE_CASE__  ,							'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!'  )
                                  a_      :	Dict							=						token_index
                           writer.write(token + '\n'  )
                           index += 1
             return (vocab_file,)
      def  SCREAMING_SNAKE_CASE							( self       : Any  ,							SCREAMING_SNAKE_CASE__       : List[int]  ,							SCREAMING_SNAKE_CASE__       : List[int] = None  )	->    List[int]:
             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  SCREAMING_SNAKE_CASE							( self       : str  ,							SCREAMING_SNAKE_CASE__       : List[int]  ,							SCREAMING_SNAKE_CASE__       : Optional[List[int]] = None  ,							SCREAMING_SNAKE_CASE__       : bool = False  )	->    List[int]:

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

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






def  SCREAMING_SNAKE_CASE_		(    __A				:    int						,					__A				:    int						,					__A				:    int       )			->	float:

       """simple docstring"""

       a_      :	Optional[int]							=						(num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
       # formula for sum of series
       return total







def  SCREAMING_SNAKE_CASE_		(    )			->	Optional[Any]:

       """simple docstring"""

       print(sum_of_series(1						,					1						,					10       )       )


if __name__ == "__main__":
   import doctest

   doctest.testmod()


