How to use the flyteidl.plugins.sagemaker.parameter_ranges_pb2.HyperparameterScalingType function in flyteidl

def to_flyte_idl(self):
        """
        :return: _idl_parameter_ranges.ContinuousParameterRange
        """

        if self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.AUTO:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.AUTO
        elif self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.LINEAR:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.LINEAR
        elif self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.LOGARITHMIC:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.LOGARITHMIC
        elif self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.REVERSELOGARITHMIC:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.REVERSELOGARITHMIC
        else:
            raise _user_exceptions.FlyteValidationException("Invalid SageMaker HyperparameterScalingType specified")

        return _idl_parameter_ranges.ContinuousParameterRange(
            max_value=self._max_value,
            min_value=self._min_value,
            scaling_type=scaling_type,
        )

def from_flyte_idl(cls, pb2_object):

        scaling_type = _sdk_sagemaker_types.HyperparameterScalingType.AUTO
        if pb2_object.type == _idl_parameter_ranges.HyperparameterScalingType.LINEAR:
            scaling_type = _sdk_sagemaker_types.HyperparameterScalingType.LINEAR
        elif pb2_object.type == _idl_parameter_ranges.HyperparameterScalingType.LOGARITHMIC:
            scaling_type = _sdk_sagemaker_types.HyperparameterScalingType.LOGARITHMIC
        elif pb2_object.type == _idl_parameter_ranges.HyperparameterScalingType.REVERSELOGARITHMIC:
            scaling_type = _sdk_sagemaker_types.HyperparameterScalingType.REVERSELOGARITHMIC

        return cls(
            max_value=pb2_object.max_value,
            min_value=pb2_object.min_value,
            scaling_type=scaling_type,
        )

def to_flyte_idl(self):
        """
        :return: _idl_parameter_ranges.IntegerParameterRange
        """

        if self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.AUTO:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.AUTO
        elif self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.LINEAR:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.LINEAR
        elif self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.LOGARITHMIC:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.LOGARITHMIC
        elif self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.REVERSELOGARITHMIC:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.REVERSELOGARITHMIC
        else:
            raise _user_exceptions.FlyteValidationException("Invalid SageMaker HyperparameterScalingType specified")

        return _idl_parameter_ranges.IntegerParameterRange(
            max_value=self._max_value,
            min_value=self._min_value,
            scaling_type=scaling_type,
        )

def from_flyte_idl(cls, pb2_object):

        scaling_type = _sdk_sagemaker_types.HyperparameterScalingType.AUTO
        if pb2_object.type == _idl_parameter_ranges.HyperparameterScalingType.LINEAR:
            scaling_type = _sdk_sagemaker_types.HyperparameterScalingType.LINEAR
        elif pb2_object.type == _idl_parameter_ranges.HyperparameterScalingType.LOGARITHMIC:
            scaling_type = _sdk_sagemaker_types.HyperparameterScalingType.LOGARITHMIC
        elif pb2_object.type == _idl_parameter_ranges.HyperparameterScalingType.REVERSELOGARITHMIC:
            scaling_type = _sdk_sagemaker_types.HyperparameterScalingType.REVERSELOGARITHMIC

        return cls(
            max_value=pb2_object.max_value,
            min_value=pb2_object.min_value,
            scaling_type=scaling_type,
        )

def to_flyte_idl(self):
        """
        :return: _idl_parameter_ranges.ContinuousParameterRange
        """

        if self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.AUTO:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.AUTO
        elif self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.LINEAR:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.LINEAR
        elif self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.LOGARITHMIC:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.LOGARITHMIC
        elif self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.REVERSELOGARITHMIC:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.REVERSELOGARITHMIC
        else:
            raise _user_exceptions.FlyteValidationException("Invalid SageMaker HyperparameterScalingType specified")

        return _idl_parameter_ranges.ContinuousParameterRange(
            max_value=self._max_value,
            min_value=self._min_value,
            scaling_type=scaling_type,
        )

def to_flyte_idl(self):
        """
        :return: _idl_parameter_ranges.IntegerParameterRange
        """

        if self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.AUTO:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.AUTO
        elif self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.LINEAR:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.LINEAR
        elif self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.LOGARITHMIC:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.LOGARITHMIC
        elif self.scaling_type == _sdk_sagemaker_types.HyperparameterScalingType.REVERSELOGARITHMIC:
            scaling_type = _idl_parameter_ranges.HyperparameterScalingType.REVERSELOGARITHMIC
        else:
            raise _user_exceptions.FlyteValidationException("Invalid SageMaker HyperparameterScalingType specified")

        return _idl_parameter_ranges.IntegerParameterRange(
            max_value=self._max_value,
            min_value=self._min_value,
            scaling_type=scaling_type,
        )