


"""simple docstring"""


from math import pow, sqrt




def   snake_case		(     *UpperCamelCase__       :						float    )   ->      bool:
      lowerCamelCase					:					Dict        =	len(UpperCamelCase__    ) > 0 and all(value > 0.0 for value in values    )
      return result




def   snake_case		(     UpperCamelCase__       :						float			,				UpperCamelCase__       :						float    )   ->      float | ValueError:
      return (
          round(sqrt(molar_mass_a / molar_mass_a    )			,				6    )
          if validate(UpperCamelCase__			,				UpperCamelCase__    )
          else ValueError("""Input Error: Molar mass values must greater than 0."""    )
      )




def   snake_case		(     UpperCamelCase__       :						float			,				UpperCamelCase__       :						float			,				UpperCamelCase__       :						float    )   ->      float | ValueError:
      return (
          round(effusion_rate * sqrt(molar_mass_a / molar_mass_a    )			,				6    )
          if validate(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )
          else ValueError(
              """Input Error: Molar mass and effusion rate values must greater than 0."""    )
      )




def   snake_case		(     UpperCamelCase__       :						float			,				UpperCamelCase__       :						float			,				UpperCamelCase__       :						float    )   ->      float | ValueError:
      return (
          round(effusion_rate / sqrt(molar_mass_a / molar_mass_a    )			,				6    )
          if validate(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )
          else ValueError(
              """Input Error: Molar mass and effusion rate values must greater than 0."""    )
      )




def   snake_case		(     UpperCamelCase__       :						float			,				UpperCamelCase__       :						float			,				UpperCamelCase__       :						float    )   ->      float | ValueError:
      return (
          round(molar_mass / pow(effusion_rate_a / effusion_rate_a			,				2    )			,				6    )
          if validate(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )
          else ValueError(
              """Input Error: Molar mass and effusion rate values must greater than 0."""    )
      )






def   snake_case		(     UpperCamelCase__       :						float			,				UpperCamelCase__       :						float			,				UpperCamelCase__       :						float    )   ->      float | ValueError:
      return (
          round(pow(effusion_rate_a / effusion_rate_a			,				2    ) / molar_mass			,				6    )
          if validate(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )
          else ValueError(
              """Input Error: Molar mass and effusion rate values must greater than 0."""    )
      )










"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__lowerCamelCase      :Optional[Any]	    =		{
    'configuration_encodec': [
        'ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'EncodecConfig',
    ],
    'feature_extraction_encodec': ['EncodecFeatureExtractor'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase      :Union[str, Any]	    =		[
        'ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST',
        'EncodecModel',
        'EncodecPreTrainedModel',
    ]

if TYPE_CHECKING:
    from .configuration_encodec import (
        ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
        EncodecConfig,
    )
    from .feature_extraction_encodec import EncodecFeatureExtractor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_encodec import (
            ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
            EncodecModel,
            EncodecPreTrainedModel,
        )

else:
    import sys

    __lowerCamelCase      :Dict	    =		_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




