






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


snake_case__   :						Any													=   logging.get_logger(__name__)

snake_case__   :						Any													=   {"""vocab_file""": """vocab.txt"""}

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

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






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


class     _a							(	UpperCAmelCase__     ):






  """simple docstring"""





  def __init__(  self		,		_UpperCAmelCase		,		_UpperCAmelCase="<unk>"		,		_UpperCAmelCase=200			)      ->			Any:
     UpperCamelCase_						=  vocab
     UpperCamelCase_						=  unk_token
     UpperCamelCase_						=  max_input_chars_per_word




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			Tuple:
     UpperCamelCase_						=  list(_UpperCAmelCase			)
     if len(_UpperCAmelCase			) > self.max_input_chars_per_word:
        return [self.unk_token]

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

     return sub_tokens




class     _a							(	UpperCAmelCase__     ):






  """simple docstring"""





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




  def __init__(  self		,		_UpperCAmelCase		,		_UpperCAmelCase="<d>"		,		_UpperCAmelCase="</d>"		,		_UpperCAmelCase="<s>"		,		_UpperCAmelCase="</s>"		,		_UpperCAmelCase="<pad>"		,		_UpperCAmelCase="<unk>"		,		_UpperCAmelCase="</n>"		,		_UpperCAmelCase="</_>"		,		_UpperCAmelCase="left"		,		**_UpperCAmelCase		,		)      ->			List[Any]:
     requires_backends(self		,		['jieba']			)
     super().__init__(
         bod_token=_UpperCAmelCase		,		eod_token=_UpperCAmelCase		,		bos_token=_UpperCAmelCase		,		eos_token=_UpperCAmelCase		,		pad_token=_UpperCAmelCase		,		unk_token=_UpperCAmelCase		,		line_token=_UpperCAmelCase		,		space_token=_UpperCAmelCase		,		padding_side=_UpperCAmelCase		,		**_UpperCAmelCase		,		)
     UpperCamelCase_						=  bod_token
     UpperCamelCase_						=  eod_token
     UpperCamelCase_						=  load_vocab(_UpperCAmelCase			)
     UpperCamelCase_						=  self.encoder[space_token]
     UpperCamelCase_						=  self.encoder[line_token]

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

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

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




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




  @property
  def  _UpperCAmelCase  (  self			)      ->			List[Any]:
     return self.encoder[self.eod_token]




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




  @property
  def  _UpperCAmelCase  (  self			)      ->			int:
     return len(self.encoder			)




  def  _UpperCAmelCase  (  self			)      ->			str:
     return dict(self.encoder		,		**self.added_tokens_encoder			)




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			Optional[int]:
     UpperCamelCase_						=  []
     for x in jieba.cut(_UpperCAmelCase		,		cut_all=_UpperCAmelCase			):
        output_tokens.extend(self.wordpiece_tokenizer.tokenize(_UpperCAmelCase			)			)
     return output_tokens




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase		,		**_UpperCAmelCase			)      ->			Optional[int]:
     UpperCamelCase_						=  [i for i in token_ids if i >= 0]
     UpperCamelCase_						=  [
         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(_UpperCAmelCase		,		**_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			str:
     return token in self.encoder




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			str:
     return "".join(_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			int:
     return self.encoder.get(_UpperCAmelCase		,		self.encoder.get(self.unk_token			)			)




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			Optional[Any]:
     return self.decoder.get(_UpperCAmelCase		,		self.unk_token			)




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase		,		_UpperCAmelCase = None			)      ->			Tuple[str]:
     if os.path.isdir(_UpperCAmelCase			):
        UpperCamelCase_						=  os.path.join(
            _UpperCAmelCase		,		(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)
     else:
        UpperCamelCase_						=  (filename_prefix + '-' if filename_prefix else '') + save_directory
     UpperCamelCase_						=  0
     if " " in self.encoder:
        UpperCamelCase_						=  self.encoder[' ']
        del self.encoder[" "]
     if "\n" in self.encoder:
        UpperCamelCase_						=  self.encoder['\n']
        del self.encoder["\n"]
     UpperCamelCase_						=  collections.OrderedDict(sorted(self.encoder.items()		,		key=lambda _UpperCAmelCase			: x[1]			)			)
     with open(_UpperCAmelCase		,		'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!'			)
              UpperCamelCase_						=  token_index
           writer.write(token + '\n'			)
           index += 1
     return (vocab_file,)




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase		,		_UpperCAmelCase = 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  _UpperCAmelCase  (  self		,		_UpperCAmelCase		,		_UpperCAmelCase = None		,		_UpperCAmelCase = False			)      ->			List[int]:

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

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













import numpy as np






def      _snake_case     (__lowercase):
   return 1 / (1 + np.exp(-vector))






def      _snake_case     (__lowercase):
   return vector * sigmoid(__lowercase)


if __name__ == "__main__":
 import doctest

 doctest.testmod()





