[double-reverse delta inverter] make and implement crate
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[package]
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name = "double_reverse_delta_inverter"
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version = "0.1.0"
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edition = "2018"
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[lib]
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crate-type = ["cdylib"]
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[dependencies]
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baseplug = { git = "https://github.com/wrl/baseplug.git", rev = "9cec68f31cca9c0c7a1448379f75d92bbbc782a8" }
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serde = "1.0.126"
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#![allow(incomplete_features)]
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#![feature(generic_associated_types)]
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use baseplug::{Plugin, ProcessContext};
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use serde::{Deserialize, Serialize};
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baseplug::model! {
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#[derive(Debug, Serialize, Deserialize)]
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struct InverterModel {
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#[model(min = 0.0, max = 1.0)]
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#[parameter(name = "dry/wet")]
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dry_wet: f32,
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}
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}
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impl Default for InverterModel {
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fn default() -> Self {
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Self { dry_wet: 1.0 }
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}
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}
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struct Inverter;
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impl Plugin for Inverter {
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const NAME: &'static str = "double-reverse delta inverter";
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const PRODUCT: &'static str = "double-reverse delta inverter";
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const VENDOR: &'static str = "unnieversal";
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const INPUT_CHANNELS: usize = 2;
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const OUTPUT_CHANNELS: usize = 2;
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type Model = InverterModel;
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#[inline]
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fn new(_sample_rate: f32, _model: &InverterModel) -> Self {
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Self
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}
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#[inline]
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fn process(&mut self, model: &InverterModelProcess, ctx: &mut ProcessContext<Self>) {
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let input = &ctx.inputs[0].buffers;
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let output = &mut ctx.outputs[0].buffers;
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for i in 0..ctx.nframes {
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let dw = model.dry_wet[i];
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output[0][i] = inv(input[0][i]) * dw + (1.0 - dw) * input[0][i];
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output[1][i] = inv(input[1][i]) * dw + (1.0 - dw) * input[1][i];
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}
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}
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}
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// https://www.desmos.com/calculator/dbjrrevmp0
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// this is what the function does
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// it's like a mirroring of sorts
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fn inv(x: f32) -> f32 {
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(1.0 - x.abs()) * x.signum()
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}
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baseplug::vst2!(Inverter, b"drdi");
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