frame_plugins::rewards::payout

Struct LogarithmicConfig

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pub struct LogarithmicConfig<F>
where
    F: FixedPointNumber,
{
    pub vertical_scale: F,
    pub horizontal_scale: F,
    pub horizontal_shift: F,
    pub vertical_shift: F,
}
Expand description

Defines the configuration for the LogarithmicPayout model.

This struct specifies the parameters for a logarithmic reward function, enabling diminishing growth as input increases.

Concept: Logarithmic Growth Curve

Rewards follow a logarithmic function:

reward = a * ln(b * x + c) + d

where:

  • a = vertical scaling (controls steepness)
  • b = horizontal scaling (input stretch/compression)
  • c = horizontal shift (ensures argument > 0)
  • d = vertical shift (baseline reward)
  • x = input variable (e.g., stake, time, or score)

This model produces rapid initial growth that slows over time, resulting in diminishing returns for larger inputs.

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§vertical_scale: F

Vertical scaling (a): controls steepness of growth

§horizontal_scale: F

Horizontal scaling (b): stretches/compresses input

§horizontal_shift: F

Horizontal shift (c): ensures ln argument remains positive

§vertical_shift: F

Vertical shift (d): baseline reward offset

Trait Implementations§

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impl<FixedPoint, Asset> PurePluginModel<Asset, LogarithmicConfig<FixedPoint>, Asset> for LogarithmicPayout
where Asset: IntegerToFixed + FixedForInteger<FixedPoint = FixedPoint>, FixedPoint: FixedPointNumber + FixedOp,

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fn compute( &self, input: Asset, context: &LogarithmicConfig<FixedPoint>, ) -> Asset

Computes the model’s output for a given immutable input and context.

Auto Trait Implementations§

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impl<F> Freeze for LogarithmicConfig<F>
where F: Freeze,

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impl<F> RefUnwindSafe for LogarithmicConfig<F>
where F: RefUnwindSafe,

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impl<F> Send for LogarithmicConfig<F>
where F: Send,

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impl<F> Sync for LogarithmicConfig<F>
where F: Sync,

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impl<F> Unpin for LogarithmicConfig<F>
where F: Unpin,

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impl<F> UnwindSafe for LogarithmicConfig<F>
where F: UnwindSafe,

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