code: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  from __future__ import annotations
  
  from enum import Enum
  
  
  
  
  
  
  class    __A       ( _SCREAMING_SNAKE_CASE    ):
  
  
  
  
  
  
   """simple docstring"""
  
  
  
  
   __lowerCAmelCase				      =						24
   __lowerCAmelCase				      =						21
   __lowerCAmelCase				      =						18
   __lowerCAmelCase				      =						15
   __lowerCAmelCase				      =						12
   __lowerCAmelCase				      =						9
   __lowerCAmelCase				      =						6
   __lowerCAmelCase				      =						3
   __lowerCAmelCase				      =						2
   __lowerCAmelCase				      =						1
   __lowerCAmelCase				      =						-1
   __lowerCAmelCase				      =						-2
   __lowerCAmelCase				      =						-3
   __lowerCAmelCase				      =						-6
   __lowerCAmelCase				      =						-9
   __lowerCAmelCase				      =						-12
   __lowerCAmelCase				      =						-15
   __lowerCAmelCase				      =						-18
   __lowerCAmelCase				      =						-21
   __lowerCAmelCase				      =						-24
  
  
  
  
  
  
  class    __A       ( _SCREAMING_SNAKE_CASE    ):
  
  
  
  
  
  
   """simple docstring"""
  
  
  
  
   __lowerCAmelCase				      =						8
   __lowerCAmelCase				      =						7
   __lowerCAmelCase				      =						6
   __lowerCAmelCase				      =						5
   __lowerCAmelCase				      =						4
   __lowerCAmelCase				      =						3
   __lowerCAmelCase				      =						2
   __lowerCAmelCase				      =						1
  
  def _A		(		lowercase ,					lowercase ,					lowercase ,					):
  
  
  
  
  
  
  
      """simple docstring"""
      if isinstance(lowercase ,					lowercase	):
          a					=SIUnit[known_prefix.lower()]
      if isinstance(lowercase ,					lowercase	):
          a					=SIUnit[unknown_prefix.lower()]
      a					=known_amount * (
          10 ** (known_prefix.value - unknown_prefix.value)
      )
      return unknown_amount
  def _A		(		lowercase ,					lowercase ,					lowercase ,					):
  
  
  
  
  
  
  
      """simple docstring"""
      if isinstance(lowercase ,					lowercase	):
          a					=BinaryUnit[known_prefix.lower()]
      if isinstance(lowercase ,					lowercase	):
          a					=BinaryUnit[unknown_prefix.lower()]
      a					=known_amount * (
          2 ** ((known_prefix.value - unknown_prefix.value) * 10)
      )
      return unknown_amount
  
  
  if __name__ == "__main__":
    import doctest
  
    doctest.testmod()
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  lowerCamelCase_     :     Any    		=						{"""configuration_dinat""": ["""DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DinatConfig"""]}
  
  
  try:
         if not is_torch_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         lowerCamelCase_     :     List[str]    		=						[
             """DINAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
             """DinatForImageClassification""",
             """DinatModel""",
             """DinatPreTrainedModel""",
             """DinatBackbone""",
         ]
  
  if TYPE_CHECKING:
         from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig
  
         try:
                if not is_torch_available():
                       raise OptionalDependencyNotAvailable()
         except OptionalDependencyNotAvailable:
                pass
         else:
                from .modeling_dinat import (
                    DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                    DinatBackbone,
                    DinatForImageClassification,
                    DinatModel,
                    DinatPreTrainedModel,
                )
  
  else:
         import sys
  
         lowerCamelCase_     :     List[Any]    		=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)