






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


__lowerCamelCase	:		Union[str, Any]										=   {
    """configuration_longt5""": ["""LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LongT5Config""", """LongT5OnnxConfig"""],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowerCamelCase	:		List[Any]										=   [
           """LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """LongT5EncoderModel""",
           """LongT5ForConditionalGeneration""",
           """LongT5Model""",
           """LongT5PreTrainedModel""",
       ]

try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowerCamelCase	:		str										=   [
           """FlaxLongT5ForConditionalGeneration""",
           """FlaxLongT5Model""",
           """FlaxLongT5PreTrainedModel""",
       ]


if TYPE_CHECKING:
       from .configuration_longta import LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP, LongTaConfig, LongTaOnnxConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_longta import (
                  LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST,
                  LongTaEncoderModel,
                  LongTaForConditionalGeneration,
                  LongTaModel,
                  LongTaPreTrainedModel,
              )

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_longta import (
                  FlaxLongTaForConditionalGeneration,
                  FlaxLongTaModel,
                  FlaxLongTaPreTrainedModel,
              )


else:
       import sys

       __lowerCamelCase	:		Tuple										=   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)













__lowerCamelCase	:		dict[str, float]										=   {
    "km/h": 1.0,
    "m/s": 3.6,
    "mph": 1.60_93_44,
    "knot": 1.8_52,
}

__lowerCamelCase	:		dict[str, float]										=   {
    "km/h": 1.0,
    "m/s": 0.2_77_77_77_78,
    "mph": 0.6_21_37_11_92,
    "knot": 0.5_39_95_68_03,
}







def 			A__							(      _a  :					float		,  _a  :					str		,  _a  :					str	):





 '''simple docstring'''







 if unit_to not in speed_chart or unit_from not in speed_chart_inverse:
  snake_case__  :    Tuple							       =(
      f"Incorrect 'from_type' or 'to_type' value: {unit_from!r}, {unit_to!r}\n"
      f"Valid values are: {', '.join(_a	)}"
  )
  raise ValueError(_a	)
 return round(speed * speed_chart[unit_from] * speed_chart_inverse[unit_to]		,  3	)


if __name__ == "__main__":
       import doctest

       doctest.testmod()





