



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()








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_ )



