






from collections import namedtuple

SCREAMING_SNAKE_CASE__		:							Dict 				=				namedtuple("""from_to""", """from_ to""")

SCREAMING_SNAKE_CASE__		:							Optional[Any] 				=				{
    """cubicmeter""": from_to(1, 1),
    """litre""": from_to(0.001, 10_00),
    """kilolitre""": from_to(1, 1),
    """gallon""": from_to(0.0_0454, 264.172),
    """cubicyard""": from_to(0.7_6455, 1.3_0795),
    """cubicfoot""": from_to(0.028, 35.3147),
    """cup""": from_to(0.0_0023_6588, 4226.75),
}





def  _lowerCamelCase						(						__lowerCamelCase ,							__lowerCamelCase ,							__lowerCamelCase       ) ->			float:

     '''simple docstring'''
     if from_type not in METRIC_CONVERSION:
          raise ValueError(
              F"Invalid 'from_type' value: {from_type!r}  Supported values are:\n"
              + """, """.join(__lowerCamelCase       )       )
     if to_type not in METRIC_CONVERSION:
          raise ValueError(
              F"Invalid 'to_type' value: {to_type!r}.  Supported values are:\n"
              + """, """.join(__lowerCamelCase       )       )
     return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to


if __name__ == "__main__":
      import doctest

      doctest.testmod()














import warnings

from ...utils import logging
from .image_processing_deit import DeiTImageProcessor


__a   :							Any						= logging.get_logger(__name__)


class    __lowercase   (						lowercase_	):







     '''simple docstring'''




     def __init__(					self							:      Union[str, Any]			,						*UpperCamelCase_							:      Tuple			,						**UpperCamelCase_							:      Tuple					):


         """simple docstring"""



         warnings.warn(
             """The class DeiTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
             """ use DeiTImageProcessor instead."""			,						UpperCamelCase_			,						)
         super().__init__(*UpperCamelCase_			,						**UpperCamelCase_					)




