
'''simple docstring'''
import json
import os
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
     from transformers.pipelines.conversational import Conversation

A__ :		Union[str, Any]					=logging.get_logger(__name__)

A__ :		Tuple					={'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

A__ :		int					={
    'vocab_file': {
        'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json',
        'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json',
        'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json',
        'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json',
        'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json',
        'microsoft/deberta-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt',
        'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt',
        'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt',
        'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt',
        'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt',
        'microsoft/deberta-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt'
        ),
    },
}

A__ :		Tuple					={
    'microsoft/deberta-base': 512,
    'microsoft/deberta-large': 512,
    'microsoft/deberta-xlarge': 512,
    'microsoft/deberta-base-mnli': 512,
    'microsoft/deberta-large-mnli': 512,
    'microsoft/deberta-xlarge-mnli': 512,
}

A__ :		Optional[Any]					={
    'microsoft/deberta-base': {'do_lower_case': False},
    'microsoft/deberta-large': {'do_lower_case': False},
}







def 							A_  (    )					->							str:





  """simple docstring"""

  __A		:  int       				=		(
      list(range(ord("""!"""			)      ,  ord("""~"""			) + 1			)			) + list(range(ord("""¡"""			)      ,  ord("""¬"""			) + 1			)			) + list(range(ord("""®"""			)      ,  ord("""ÿ"""			) + 1			)			)
  )
  __A		:  Dict       				=		bs[:]
  __A		:  Dict       				=		0
  for b in range(2**8			):
    if b not in bs:
      bs.append(_UpperCAmelCase			)
      cs.append(2**8 + n			)
      n += 1
  __A		:  int       				=		[chr(_UpperCAmelCase			) for n in cs]
  return dict(zip(_UpperCAmelCase      ,  _UpperCAmelCase			)			)







def 							A_  (    __SCREAMING_SNAKE_CASE    :	Dict			)					->							Optional[Any]:





  """simple docstring"""

  __A		:  List[str]       				=		set()
  __A		:  Tuple       				=		word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)			)
    __A		:  List[str]       				=		char
  return pairs







class 			__A					(			_snake_case      ):
 lowerCamelCase												=VOCAB_FILES_NAMES
 lowerCamelCase												=PRETRAINED_VOCAB_FILES_MAP
 lowerCamelCase												=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCamelCase												=['''input_ids''', '''attention_mask''', '''token_type_ids''']
 def __init__( self      :     Tuple					, lowerCamelCase      :     Union[str, Any]					, lowerCamelCase      :     str					, lowerCamelCase      :     List[str]="replace"					, lowerCamelCase      :     int="[CLS]"					, lowerCamelCase      :     Dict="[SEP]"					, lowerCamelCase      :     str="[SEP]"					, lowerCamelCase      :     Dict="[CLS]"					, lowerCamelCase      :     Union[str, Any]="[UNK]"					, lowerCamelCase      :     List[Any]="[PAD]"					, lowerCamelCase      :     Optional[Any]="[MASK]"					, lowerCamelCase      :     Tuple=False					, lowerCamelCase      :     int=False					, **lowerCamelCase      :     Optional[Any]					, ):



   """simple docstring"""





   __A		:  Optional[Any]       				=		AddedToken(lowercase__					, lstrip=lowercase__					, rstrip=lowercase__							) if isinstance(lowercase__					, lowercase__							) else bos_token
   __A		:  str       				=		AddedToken(lowercase__					, lstrip=lowercase__					, rstrip=lowercase__							) if isinstance(lowercase__					, lowercase__							) else eos_token
   __A		:  Optional[int]       				=		AddedToken(lowercase__					, lstrip=lowercase__					, rstrip=lowercase__							) if isinstance(lowercase__					, lowercase__							) else sep_token
   __A		:  int       				=		AddedToken(lowercase__					, lstrip=lowercase__					, rstrip=lowercase__							) if isinstance(lowercase__					, lowercase__							) else cls_token
   __A		:  Union[str, Any]       				=		AddedToken(lowercase__					, lstrip=lowercase__					, rstrip=lowercase__							) if isinstance(lowercase__					, lowercase__							) else unk_token
   __A		:  Tuple       				=		AddedToken(lowercase__					, lstrip=lowercase__					, rstrip=lowercase__							) if isinstance(lowercase__					, lowercase__							) else pad_token

   # Mask token behave like a normal word, i.e. include the space before it
   __A		:  List[str]       				=		AddedToken(lowercase__					, lstrip=lowercase__					, rstrip=lowercase__							) if isinstance(lowercase__					, lowercase__							) else mask_token

   super().__init__(
       errors=lowercase__					, bos_token=lowercase__					, eos_token=lowercase__					, unk_token=lowercase__					, sep_token=lowercase__					, cls_token=lowercase__					, pad_token=lowercase__					, mask_token=lowercase__					, add_prefix_space=lowercase__					, add_bos_token=lowercase__					, **lowercase__					, )
   __A		:  Optional[int]       				=		add_bos_token

   with open(lowercase__					, encoding="""utf-8"""							) as vocab_handle:
     __A		:  int       				=		json.load(lowercase__							)
   __A		:  Optional[int]       				=		{v: k for k, v in self.encoder.items()}
   __A		:  Tuple       				=		errors  # how to handle errors in decoding
   __A		:  int       				=		bytes_to_unicode()
   __A		:  Union[str, Any]       				=		{v: k for k, v in self.byte_encoder.items()}
   with open(lowercase__					, encoding="""utf-8"""							) as merges_handle:
     __A		:  int       				=		merges_handle.read().split("""\n"""							)[1:-1]
   __A		:  Any       				=		[tuple(merge.split()							) for merge in bpe_merges]
   __A		:  Optional[Any]       				=		dict(zip(lowercase__					, range(len(lowercase__							)							)							)							)
   __A		:  int       				=		{}
   __A		:  Any       				=		add_prefix_space

   # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
   __A		:  Union[str, Any]       				=		re.compile(r"""\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""							)
 @property
 # Copied from transformers.models.gpt2.tokenization_gpt2.GPT2Tokenizer.vocab_size
 def 		lowercase_( self      :     Tuple							):



   """simple docstring"""





   return len(self.encoder							)
 def 		lowercase_( self      :     Optional[Any]							):



   """simple docstring"""





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



   """simple docstring"""





   if token in self.cache:
     return self.cache[token]
   __A		:  List[Any]       				=		tuple(lowercase__							)
   __A		:  Union[str, Any]       				=		get_pairs(lowercase__							)

   if not pairs:
     return token

   while True:
     __A		:  Optional[int]       				=		min(lowercase__					, key=lambda lowerCamelCase							: self.bpe_ranks.get(lowercase__					, float("""inf"""							)							)							)
     if bigram not in self.bpe_ranks:
       break
     __A				,       __A		:  Tuple       				=		bigram
     __A		:  int       				=		[]
     __A		:  Optional[Any]       				=		0
     while i < len(lowercase__							):
       try:
         __A		:  int       				=		word.index(lowercase__					, lowercase__							)
       except ValueError:
         new_word.extend(word[i:]							)
         break
       else:
         new_word.extend(word[i:j]							)
         __A		:  Any       				=		j

       if word[i] == first and i < len(lowercase__							) - 1 and word[i + 1] == second:
         new_word.append(first + second							)
         i += 2
       else:
         new_word.append(word[i]							)
         i += 1
     __A		:  Any       				=		tuple(lowercase__							)
     __A		:  List[Any]       				=		new_word
     if len(lowercase__							) == 1:
       break
     else:
       __A		:  int       				=		get_pairs(lowercase__							)
   __A		:  Optional[int]       				=		""" """.join(lowercase__							)
   __A		:  Optional[Any]       				=		word
   return word
 def 		lowercase_( self      :     Tuple					, lowerCamelCase      :     List[int]					, lowerCamelCase      :     Optional[List[int]] = None							):



   """simple docstring"""





   if token_ids_a is None:
     return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
   __A		:  List[Any]       				=		[self.cls_token_id]
   __A		:  Any       				=		[self.sep_token_id]
   return cls + token_ids_a + sep + token_ids_a + sep
 def 		lowercase_( self      :     str					, lowerCamelCase      :     List[int]					, lowerCamelCase      :     Optional[List[int]] = None					, lowerCamelCase      :     bool = False							):



   """simple docstring"""





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

   if token_ids_a is None:
     return [1] + ([0] * len(lowercase__							)) + [1]
   return [1] + ([0] * len(lowercase__							)) + [1] + ([0] * len(lowercase__							)) + [1]
 def 		lowercase_( self      :     Optional[int]					, lowerCamelCase      :     List[int]					, lowerCamelCase      :     Optional[List[int]] = None							):



   """simple docstring"""





   __A		:  str       				=		[self.sep_token_id]
   __A		:  List[str]       				=		[self.cls_token_id]

   if token_ids_a is None:
     return len(cls + token_ids_a + sep							) * [0]
   return len(cls + token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1]
 def 		lowercase_( self      :     Union[str, Any]					, lowerCamelCase      :     List[Any]							):



   """simple docstring"""





   __A		:  str       				=		[]
   for token in re.findall(self.pat					, lowercase__							):
     __A		:  Union[str, Any]       				=		"""""".join(
         self.byte_encoder[b] for b in token.encode("""utf-8"""							)							)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
     bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowercase__							).split(""" """							)							)
   return bpe_tokens
 def 		lowercase_( self      :     Any					, lowerCamelCase      :     Dict							):



   """simple docstring"""





   return self.encoder.get(lowercase__					, self.encoder.get(self.unk_token							)							)
 def 		lowercase_( self      :     List[Any]					, lowerCamelCase      :     Union[str, Any]							):



   """simple docstring"""





   return self.decoder.get(lowercase__							)
 def 		lowercase_( self      :     List[Any]					, lowerCamelCase      :     Optional[int]							):



   """simple docstring"""





   __A		:  Union[str, Any]       				=		"""""".join(lowercase__							)
   __A		:  List[Any]       				=		bytearray([self.byte_decoder[c] for c in text]							).decode("""utf-8"""					, errors=self.errors							)
   return text
 def 		lowercase_( self      :     Optional[int]					, lowerCamelCase      :     str					, lowerCamelCase      :     Optional[str] = None							):



   """simple docstring"""





   if not os.path.isdir(lowercase__							):
     logger.error(f"Vocabulary path ({save_directory}) should be a directory"							)
     return
   __A		:  int       				=		os.path.join(
       lowercase__					, (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)
   __A		:  Dict       				=		os.path.join(
       lowercase__					, (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]							)

   with open(lowercase__					, """w"""					, encoding="""utf-8"""							) as f:
     f.write(json.dumps(self.encoder					, indent=2					, sort_keys=lowercase__					, ensure_ascii=lowercase__							) + """\n"""							)

   __A		:  List[str]       				=		0
   with open(lowercase__					, """w"""					, encoding="""utf-8"""							) as writer:
     writer.write("""#version: 0.2\n"""							)
     for bpe_tokens, token_index in sorted(self.bpe_ranks.items()					, key=lambda lowerCamelCase							: kv[1]							):
       if index != token_index:
         logger.warning(
             f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
             """ Please check that the tokenizer is not corrupted!"""							)
         __A		:  Any       				=		token_index
       writer.write(""" """.join(lowercase__							) + """\n"""							)
       index += 1

   return vocab_file, merge_file
 def 		lowercase_( self      :     str					, lowerCamelCase      :     Union[str, Any]					, lowerCamelCase      :     Optional[int]=False					, **lowerCamelCase      :     Union[str, Any]							):



   """simple docstring"""





   __A		:  Tuple       				=		kwargs.pop("""add_prefix_space"""					, self.add_prefix_space							)
   if (is_split_into_words or add_prefix_space) and (len(lowercase__							) > 0 and not text[0].isspace()):
     __A		:  Any       				=		""" """ + text
   return (text, kwargs)






 def 		lowercase_( self      :     Optional[int]					, lowerCamelCase      :     "Conversation"							):



   """simple docstring"""





   __A		:  Union[str, Any]       				=		[]
   for is_user, text in conversation.iter_texts():
     input_ids.extend(self.encode(lowercase__					, add_special_tokens=lowercase__							) + [self.eos_token_id]							)
   if len(lowercase__							) > self.model_max_length:
     __A		:  str       				=		input_ids[-self.model_max_length :]
   return input_ids








from collections.abc import Callable

__magic_name__       =     Callable[[float], float]  # type alias for a real -> real function





def 		__snake_case						(    _UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase       ,			):
					"""simple docstring"""






					lowercase						   =       float(_UpperCAmelCase				)
					while True:
										try:
															lowercase						   =       prev_guess - function(_UpperCAmelCase				) / derivative(_UpperCAmelCase				)
										except ZeroDivisionError:
															raise ZeroDivisionError('Could not find root'				) from None
										if abs(prev_guess - next_guess				) < 10**-5:
															return next_guess
										lowercase						   =       next_guess





def 		__snake_case						(    _UpperCAmelCase				):
					"""simple docstring"""






					return (x**3) - (2 * x) - 5





def 		__snake_case						(    _UpperCAmelCase				):
					"""simple docstring"""






					return 3 * (x**2) - 2


if __name__ == "__main__":
		print(newton(f, fa, 3))






