



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


a_   :str        =      logging.get_logger(__name__)

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

a_   :Optional[Any]        =      {
    "vocab_file": {
        "openbmb/cpm-ant-10b": "https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt",
    },
}

a_   :Any        =      {
    "openbmb/cpm-ant-10b": 1_024,
}
def        lowercase_							(A : int      ):
       snake_case__							:	Tuple   	=	collections.OrderedDict()
       with open(snake_case_		,					'r'		,					encoding='utf-8'      ) as reader:
              snake_case__							:	str   	=	reader.readlines()
       for index, token in enumerate(snake_case_      ):
              snake_case__							:	Any   	=	token.rstrip('\n'      )
              snake_case__							:	List[str]   	=	index
       return vocab




class 					snake_case__						(       UpperCamelCase__     ):






     """simple docstring"""


     def __init__(       self  :  List[str], _snake_case  :  Any, _snake_case  :  Dict="<unk>", _snake_case  :  Tuple=2_0_0					)   ->str:
            snake_case__							:	Optional[Any]   	=	vocab
            snake_case__							:	str   	=	unk_token
            snake_case__							:	Optional[int]   	=	max_input_chars_per_word






     def    lowercase_   (       self  :  Optional[Any], _snake_case  :  str					)   ->int:
            snake_case__							:	Optional[int]   	=	list(_a					)
            if len(_a					) > self.max_input_chars_per_word:
                   return [self.unk_token]

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

            return sub_tokens




class 					snake_case__						(       UpperCamelCase__     ):






     """simple docstring"""


     _SCREAMING_SNAKE_CASE						=	VOCAB_FILES_NAMES
     _SCREAMING_SNAKE_CASE						=	PRETRAINED_VOCAB_FILES_MAP
     _SCREAMING_SNAKE_CASE						=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _SCREAMING_SNAKE_CASE						=	["""input_ids""", """attention_mask"""]
     _SCREAMING_SNAKE_CASE						=	False






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

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

            snake_case__							:	Optional[int]   	=	collections.OrderedDict(sorted(self.encoder.items(), key=lambda _snake_case					: x[1]					)					)
            snake_case__							:	str   	=	{v: k for k, v in self.encoder.items()}

            snake_case__							:	List[Any]   	=	WordpieceTokenizer(vocab=self.encoder, unk_token=self.unk_token					)






     @property
     def    lowercase_   (       self  :  Optional[Any]					)   ->str:
            return self.encoder[self.bod_token]






     @property
     def    lowercase_   (       self  :  Union[str, Any]					)   ->int:
            return self.encoder[self.eod_token]






     @property
     def    lowercase_   (       self  :  Optional[Any]					)   ->Optional[Any]:
            return self.encoder["\n"]






     @property
     def    lowercase_   (       self  :  List[Any]					)   ->int:
            return len(self.encoder					)






     def    lowercase_   (       self  :  Tuple					)   ->List[Any]:
            return dict(self.encoder, **self.added_tokens_encoder					)






     def    lowercase_   (       self  :  Any, _snake_case  :  int					)   ->Dict:
            snake_case__							:	Optional[int]   	=	[]
            for x in jieba.cut(_a, cut_all=_a					):
                   output_tokens.extend(self.wordpiece_tokenizer.tokenize(_a					)					)
            return output_tokens






     def    lowercase_   (       self  :  List[Any], _snake_case  :  Dict, **_snake_case  :  Optional[Any]					)   ->str:
            snake_case__							:	List[str]   	=	[i for i in token_ids if i >= 0]
            snake_case__							:	Dict   	=	[
                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    lowercase_   (       self  :  Any, _snake_case  :  Union[str, Any]					)   ->Union[str, Any]:
            return token in self.encoder






     def    lowercase_   (       self  :  Optional[Any], _snake_case  :  Union[str, Any]					)   ->str:
            return "".join(_a					)






     def    lowercase_   (       self  :  Optional[Any], _snake_case  :  str					)   ->str:
            return self.encoder.get(_a, self.encoder.get(self.unk_token					)					)






     def    lowercase_   (       self  :  Optional[int], _snake_case  :  Optional[int]					)   ->Tuple:
            return self.decoder.get(_a, self.unk_token					)






     def    lowercase_   (       self  :  Union[str, Any], _snake_case  :  int, _snake_case  :  List[Any] = None					)   ->Tuple[str]:
            if os.path.isdir(_a					):
                   snake_case__							:	List[Any]   	=	os.path.join(
                       _a, (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)
            else:
                   snake_case__							:	Optional[int]   	=	(filename_prefix + """-""" if filename_prefix else """""") + save_directory
            snake_case__							:	Dict   	=	0
            if " " in self.encoder:
                   snake_case__							:	str   	=	self.encoder[""" """]
                   del self.encoder[" "]
            if "\n" in self.encoder:
                   snake_case__							:	Optional[int]   	=	self.encoder["""\n"""]
                   del self.encoder["\n"]
            snake_case__							:	int   	=	collections.OrderedDict(sorted(self.encoder.items(), key=lambda _snake_case					: 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!'					)
                                 snake_case__							:	str   	=	token_index
                          writer.write(token + '\n'					)
                          index += 1
            return (vocab_file,)






     def    lowercase_   (       self  :  Dict, _snake_case  :  Dict, _snake_case  :  Any = 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    lowercase_   (       self  :  Optional[int], _snake_case  :  List[Any], _snake_case  :  List[Any] = None, _snake_case  :  str = False					)   ->List[int]:

            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					))












def 				lowerCAmelCase_	(     snake_case_     ):
      if n_term == "":
            return []
      _A							:     list			=						[]
      for temp in range(int(snake_case_     )     ):
            series.append(f'''1/{temp + 1}''' if series else """1"""     )
      return series


if __name__ == "__main__":
  _snake_case										=       input("Enter the last number (nth term) of the Harmonic Series")
  print("Formula of Harmonic Series => 1+1/2+1/3 ..... 1/n")
  print(harmonic_series(nth_term))

