s=0

        for e,ea,v in inputs.asList():

            if not isinstance(v, float):

                raise TypeError

            if ea==L9['strength']:

                s = v

        return effect_scale(s,self.devs )

        return self.function(inputs)

def effect_scale(strength: float, devs: DeviceSettings) -> DeviceSettings:

    out = []

    for d,da,v in devs.asList():

        out.append((d, da, scale(v, strength)))

    return DeviceSettings(devs.graph, out)

@dataclass

class EffectEval:

    """

    runs one effect's code to turn effect attr settings into output

    device settings. No effect state; suitable for reload().

    """

    graph: SyncedGraph

    effect: EffectClass

    simpleOutputs: SimpleOutputs

    def outputFromEffect(self, effectSettings: BareEffectSettings, songTime: float, noteTime: float) -> Tuple[DeviceSettings, Dict]:

        """