use std::num::NonZeroUsize;
use autd3_gain_holo::NalgebraBackend;
use crate::{
AUTDProtoBufError,
pb::*,
to_holo,
traits::{FromMessage, driver::datagram::gain::IntoLightweightGain},
};
use autd3_core::acoustics::directivity::Sphere;
impl From<autd3_gain_holo::LMOption<Sphere>> for LmOption {
fn from(value: autd3_gain_holo::LMOption<Sphere>) -> Self {
Self {
eps_1: Some(value.eps_1),
eps_2: Some(value.eps_2),
tau: Some(value.tau),
k_max: Some(value.k_max.get() as _),
initial: value.initial,
constraint: Some(value.constraint.into()),
}
}
}
impl FromMessage<LmOption> for autd3_gain_holo::LMOption<Sphere> {
fn from_msg(msg: LmOption) -> Result<Self, AUTDProtoBufError> {
let default = autd3_gain_holo::LMOption::<Sphere>::default();
Ok(Self {
eps_1: msg.eps_1.unwrap_or(default.eps_1),
eps_2: msg.eps_2.unwrap_or(default.eps_2),
tau: msg.tau.unwrap_or(default.tau),
k_max: msg
.k_max
.map(usize::try_from)
.transpose()?
.map(NonZeroUsize::try_from)
.transpose()?
.unwrap_or(default.k_max),
constraint: msg
.constraint
.map(autd3_gain_holo::EmissionConstraint::from_msg)
.transpose()?
.unwrap_or(default.constraint),
initial: msg.initial,
__phantom: std::marker::PhantomData,
})
}
}
impl IntoLightweightGain
for autd3_gain_holo::LM<
autd3_core::acoustics::directivity::Sphere,
NalgebraBackend<autd3_core::acoustics::directivity::Sphere>,
>
{
fn into_lightweight(self) -> Gain {
Gain {
gain: Some(gain::Gain::Lm(Lm {
holo: to_holo!(self),
option: Some(self.option.into()),
})),
}
}
}
impl FromMessage<Lm>
for autd3_gain_holo::LM<
autd3_core::acoustics::directivity::Sphere,
NalgebraBackend<autd3_core::acoustics::directivity::Sphere>,
>
{
fn from_msg(msg: Lm) -> Result<Self, AUTDProtoBufError> {
Ok(Self {
foci: msg
.holo
.into_iter()
.map(|h| {
Ok((
autd3_core::geometry::Point3::from_msg(
h.pos.ok_or(AUTDProtoBufError::DataParseError)?,
)?,
autd3_gain_holo::Amplitude::from_msg(
h.amp.ok_or(AUTDProtoBufError::DataParseError)?,
)?,
))
})
.collect::<Result<Vec<_>, AUTDProtoBufError>>()?,
option: autd3_gain_holo::LMOption::from_msg(
msg.option.ok_or(AUTDProtoBufError::DataParseError)?,
)?,
backend: std::sync::Arc::new(NalgebraBackend::default()),
})
}
}
#[cfg(test)]
mod tests {
use crate::DatagramLightweight;
use super::*;
use autd3_core::geometry::Point3;
use rand::Rng;
#[test]
fn test_holo_lm() {
let mut rng = rand::rng();
let foci = vec![
(
Point3::new(rng.random(), rng.random(), rng.random()),
rng.random::<f32>() * autd3_gain_holo::Pa,
),
(
Point3::new(rng.random(), rng.random(), rng.random()),
rng.random::<f32>() * autd3_gain_holo::Pa,
),
];
let option = autd3_gain_holo::LMOption {
eps_1: rng.random::<f32>(),
eps_2: rng.random::<f32>(),
tau: rng.random::<f32>(),
k_max: NonZeroUsize::new(rng.random_range(1..10)).unwrap(),
initial: vec![rng.random::<f32>(), rng.random::<f32>()],
..Default::default()
};
let holo = autd3_gain_holo::LM {
foci: foci.clone(),
option: option.clone(),
backend: std::sync::Arc::new(NalgebraBackend::default()),
};
let msg = holo.into_datagram_lightweight(None).unwrap();
match msg.datagram {
Some(datagram::Datagram::Gain(Gain {
gain: Some(gain::Gain::Lm(g)),
..
})) => {
let holo2 = autd3_gain_holo::LM::from_msg(g).unwrap();
assert_eq!(option, holo2.option);
foci.iter().zip(holo2.foci.iter()).for_each(|(f1, f2)| {
assert_eq!(f1, f2);
});
}
_ => panic!("unexpected datagram type"),
}
}
}