
'''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()







'''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__)





