code: 
  '''simple docstring'''
  
  from collections import namedtuple
  
  _UpperCAmelCase   :      Optional[int] 						=  namedtuple("""from_to""", """from_ to""")
  
  _UpperCAmelCase   :      Tuple 						=  {
      """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   :      Any 						=  {
      """mm""": from_to(0.001, 1000),
      """cm""": from_to(0.01, 100),
      """m""": from_to(1, 1),
      """km""": from_to(1000, 0.001),
      """in""": from_to(0.0254, 39.3701),
      """ft""": from_to(0.3048, 3.2_8084),
      """yd""": from_to(0.9144, 1.0_9361),
      """mi""": from_to(1609.34, 0.0_0062_1371),
  }
  
  
  
  
  
  
  
  def 						snake_case__	(      UpperCamelCase			,UpperCamelCase			,UpperCamelCase	) ->      float:
  		_UpperCamelCase       : List[Any]    =      from_type.lower().rstrip('''s'''	)
  		_UpperCamelCase       : Any    =      TYPE_CONVERSION.get(UpperCamelCase			,UpperCamelCase	)
  		_UpperCamelCase       : Optional[int]    =      to_type.lower().rstrip('''s'''	)
  		_UpperCamelCase       : Dict    =      TYPE_CONVERSION.get(UpperCamelCase			,UpperCamelCase	)
  		if new_from not in METRIC_CONVERSION:
  				_UpperCamelCase       : Optional[int]    =      (
  				    f'''Invalid \'from_type\' value: {from_type!r}.\n'''
  				    f'''Conversion abbreviations are: {', '.join(UpperCamelCase	)}'''
  				)
  				raise ValueError(UpperCamelCase	)
  		if new_to not in METRIC_CONVERSION:
  				_UpperCamelCase       : Union[str, Any]    =      (
  				    f'''Invalid \'to_type\' value: {to_type!r}.\n'''
  				    f'''Conversion abbreviations are: {', '.join(UpperCamelCase	)}'''
  				)
  				raise ValueError(UpperCamelCase	)
  		return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to
  
  
  if __name__ == "__main__":
  	import doctest
  
  	doctest.testmod()
  
  
  
  
  
  
style_context: 
  '''simple docstring'''
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_flax_available,
      is_tf_available,
      is_torch_available,
  )
  
  
  _UpperCAmelCase   :      int 						=  {
      """configuration_gptsan_japanese""": ["""GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTSanJapaneseConfig"""],
      """tokenization_gptsan_japanese""": ["""GPTSanJapaneseTokenizer"""],
  }
  
  try:
  	if not is_torch_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	_UpperCAmelCase   :      int 						=  [
  	    """GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
  	    """GPTSanJapaneseForConditionalGeneration""",
  	    """GPTSanJapaneseModel""",
  	    """GPTSanJapanesePreTrainedModel""",
  	]
  	_UpperCAmelCase   :      str 						=  [
  	    """GPTSanJapaneseTokenizer""",
  	]
  
  
  if TYPE_CHECKING:
  	from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
  	from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer
  
  	try:
  		if not is_torch_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .modeling_gptsan_japanese import (
  		    GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
  		    GPTSanJapaneseForConditionalGeneration,
  		    GPTSanJapaneseModel,
  		    GPTSanJapanesePreTrainedModel,
  		)
  		from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer
  
  
  else:
  	import sys
  
  	_UpperCAmelCase   :      List[str] 						=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  
  
  
  
  
  