code: 
  
  
  
  from collections import namedtuple
  
  __UpperCAmelCase      = namedtuple('''from_to''', '''from_ to''')
  
  __UpperCAmelCase      = {
      '''millimeter''': '''mm''',
      '''centimeter''': '''cm''',
      '''meter''': '''m''',
      '''kilometer''': '''km''',
      '''inch''': '''in''',
      '''inche''': '''in''',  # Trailing 's' has been stripped off
      '''feet''': '''ft''',
      '''foot''': '''ft''',
      '''yard''': '''yd''',
      '''mile''': '''mi''',
  }
  
  __UpperCAmelCase      = {
      '''mm''': from_to(0.0_01, 1_000),
      '''cm''': from_to(0.01, 100),
      '''m''': from_to(1, 1),
      '''km''': from_to(1_000, 0.0_01),
      '''in''': from_to(0.02_54, 39.37_01),
      '''ft''': from_to(0.30_48, 3.2_80_84),
      '''yd''': from_to(0.91_44, 1.0_93_61),
      '''mi''': from_to(16_09.34, 0.0_00_62_13_71),
  }
  def 	UpperCamelCase			(     snake_case__ :					float ,  snake_case__ :					str ,  snake_case__ :					str			)			->  float:
     UpperCamelCase					:						Tuple					=			from_type.lower().rstrip('s'			)
     UpperCamelCase					:						int					=			TYPE_CONVERSION.get(snake_case__ ,  snake_case__			)
     UpperCamelCase					:						Any					=			to_type.lower().rstrip('s'			)
     UpperCamelCase					:						Union[str, Any]					=			TYPE_CONVERSION.get(snake_case__ ,  snake_case__			)
     if new_from not in METRIC_CONVERSION:
        UpperCamelCase					:						List[str]					=			(
            F"""Invalid 'from_type' value: {from_type!r}.\n"""
            F"""Conversion abbreviations are: {", ".join(snake_case__			)}"""
        )
        raise ValueError(snake_case__			)
     if new_to not in METRIC_CONVERSION:
        UpperCamelCase					:						Optional[Any]					=			(
            F"""Invalid 'to_type' value: {to_type!r}.\n"""
            F"""Conversion abbreviations are: {", ".join(snake_case__			)}"""
        )
        raise ValueError(snake_case__			)
     return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to
  
  
  if __name__ == "__main__":
      import doctest
  
      doctest.testmod()
  
  
  
  
style_context: 
  
  
  
  from typing import Optional, Tuple
  
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import logging
  from .tokenization_openai import OpenAIGPTTokenizer
  
  
  __UpperCAmelCase      = logging.get_logger(__name__)
  
  __UpperCAmelCase      = {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}
  
  __UpperCAmelCase      = {
      '''vocab_file''': {'''openai-gpt''': '''https://huggingface.co/openai-gpt/resolve/main/vocab.json'''},
      '''merges_file''': {'''openai-gpt''': '''https://huggingface.co/openai-gpt/resolve/main/merges.txt'''},
      '''tokenizer_file''': {'''openai-gpt''': '''https://huggingface.co/openai-gpt/resolve/main/tokenizer.json'''},
  }
  
  __UpperCAmelCase      = {
      '''openai-gpt''': 512,
  }
  
  
  
  class        lowerCAmelCase_	(						a__							):
         UpperCAmelCase__       :      Union[str, Any]       =						VOCAB_FILES_NAMES
         UpperCAmelCase__       :      int       =						PRETRAINED_VOCAB_FILES_MAP
         UpperCAmelCase__       :      Optional[int]       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
         UpperCAmelCase__       :      Optional[int]       =						["input_ids", "attention_mask"]
         UpperCAmelCase__       :      Tuple       =						OpenAIGPTTokenizer
         def __init__(    self,    SCREAMING_SNAKE_CASE_=None,    SCREAMING_SNAKE_CASE_=None,    SCREAMING_SNAKE_CASE_=None,    SCREAMING_SNAKE_CASE_="<unk>",    **SCREAMING_SNAKE_CASE_ )  ->	List[str]:
            super().__init__(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_,    tokenizer_file=SCREAMING_SNAKE_CASE_,    unk_token=SCREAMING_SNAKE_CASE_,    **SCREAMING_SNAKE_CASE_ )
         @property
         def       snake_case_ (    self )  ->	Dict:
            return True
  
  
  
  
  
  
         def       snake_case_ (    self,    SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_ = None )  ->	Tuple[str]:
            UpperCamelCase					:						List[Any]					=			self._tokenizer.model.save(SCREAMING_SNAKE_CASE_,    name=SCREAMING_SNAKE_CASE_ )
            return tuple(SCREAMING_SNAKE_CASE_ )
  
  
  
  