Remove non-global Threadpool
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7aadda3de9
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@ -9,7 +9,7 @@ edition = "2018"
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sbp = { path = "../sbp", features = ["serde1", "fast-float"] }
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euler = { path = "../euler", features = ["serde1"] }
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hdf5 = "0.7.0"
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integrate = { path = "../utils/integrate", features = ["rayon"] }
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integrate = { path = "../utils/integrate" }
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rayon = "1.3.0"
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indicatif = "0.15.0"
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structopt = "0.3.14"
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@ -1,3 +1,4 @@
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use rayon::prelude::*;
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use structopt::StructOpt;
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use sbp::operators::SbpOperator2d;
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@ -20,6 +21,21 @@ struct System {
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operators: Vec<Box<dyn SbpOperator2d>>,
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}
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impl integrate::Integrable for System {
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type State = Vec<euler::Field>;
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type Diff = Vec<euler::Field>;
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fn assign(s: &mut Self::State, o: &Self::State) {
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s.par_iter_mut()
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.zip(o.par_iter())
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.for_each(|(s, o)| euler::Field::assign(s, o))
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}
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fn scaled_add(s: &mut Self::State, o: &Self::Diff, scale: Float) {
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s.par_iter_mut()
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.zip(o.par_iter())
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.for_each(|(s, o)| euler::Field::scaled_add(s, o, scale))
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}
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}
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impl System {
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fn new(
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grids: Vec<grid::Grid>,
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@ -68,7 +84,7 @@ impl System {
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}
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}
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fn advance(&mut self, dt: Float, pool: &rayon::ThreadPool) {
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fn advance(&mut self, dt: Float) {
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let metrics = &self.metrics;
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let grids = &self.grids;
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let bt = &self.bt;
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@ -76,9 +92,9 @@ impl System {
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let eb = &mut self.eb;
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let operators = &self.operators;
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let rhs = move |fut: &mut [euler::Field], prev: &[euler::Field], time: Float| {
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let rhs = move |fut: &mut Vec<euler::Field>, prev: &Vec<euler::Field>, time: Float| {
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let prev_all = &prev;
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pool.scope(|s| {
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rayon::scope(|s| {
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for (((((((fut, prev), wb), grid), metrics), op), bt), eb) in fut
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.iter_mut()
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.zip(prev.iter())
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@ -101,19 +117,13 @@ impl System {
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});
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};
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let mut k = self
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.k
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.iter_mut()
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.map(|k| k.as_mut_slice())
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.collect::<Vec<_>>();
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integrate::integrate_multigrid::<integrate::Rk4, euler::Field, _>(
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integrate::integrate::<integrate::Rk4, System, _>(
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rhs,
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&self.fnow,
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&mut self.fnext,
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&mut self.time,
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dt,
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&mut k,
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pool,
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&mut self.k,
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);
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std::mem::swap(&mut self.fnow, &mut self.fnext);
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@ -178,7 +188,7 @@ struct Options {
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no_progressbar: bool,
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/// Number of simultaneous threads
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#[structopt(short, long)]
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jobs: Option<Option<usize>>,
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jobs: Option<usize>,
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/// Name of output file
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#[structopt(default_value = "output.hdf", long, short)]
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output: std::path::PathBuf,
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@ -241,20 +251,13 @@ fn main() {
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let ntime = (integration_time / dt).round() as u64;
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let pool = {
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let builder = rayon::ThreadPoolBuilder::new();
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if let Some(j) = opt.jobs {
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if let Some(j) = j {
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builder.num_threads(j)
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} else {
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builder
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{
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let nthreads = opt.jobs.unwrap_or(1);
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rayon::ThreadPoolBuilder::new()
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.num_threads(nthreads)
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.build_global()
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.unwrap();
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}
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} else {
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builder.num_threads(1)
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}
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.build()
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.unwrap()
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};
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let should_output = |itime| {
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opt.number_of_outputs.map_or(false, |num_out| {
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@ -282,7 +285,7 @@ fn main() {
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output.add_timestep(itime, &sys.fnow);
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}
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progressbar.inc(1);
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sys.advance(dt, &pool);
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sys.advance(dt);
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}
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progressbar.finish_and_clear();
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@ -6,4 +6,3 @@ edition = "2018"
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[dependencies]
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float = { path = "../float/" }
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rayon = { version = "1.5.0", optional = true }
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@ -243,90 +243,6 @@ pub fn integrate_embedded_rk<BTableau: EmbeddedButcherTableau, F: Integrable, RH
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}
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}
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#[cfg(feature = "rayon")]
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#[allow(clippy::too_many_arguments)]
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/// Integrates a multigrid problem, much the same as [`integrate`],
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/// using a `rayon` threadpool for parallelisation.
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///
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/// note that `rhs` accepts the full system state, and is responsible
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/// for computing the full state difference.
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/// `rhs` can be a mutable closure, so buffers can be used
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/// and mutated inside the closure.
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///
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/// This function requires the `rayon` feature, and is not callable in
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/// a `wasm` context.
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pub fn integrate_multigrid<BTableau: ButcherTableau, F: Integrable, RHS>(
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mut rhs: RHS,
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prev: &[F::State],
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fut: &mut [F::State],
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time: &mut Float,
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dt: Float,
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k: &mut [&mut [F::Diff]],
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pool: &rayon::ThreadPool,
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) where
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RHS: FnMut(&mut [F::Diff], &[F::State], Float),
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F::State: Send + Sync,
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F::Diff: Send + Sync,
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{
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for i in 0.. {
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let simtime;
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match i {
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0 => {
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pool.scope(|s| {
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assert!(k.len() >= BTableau::S);
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for (prev, fut) in prev.iter().zip(fut.iter_mut()) {
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s.spawn(move |_| {
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F::assign(fut, prev);
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});
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}
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});
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simtime = *time;
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}
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i if i < BTableau::S => {
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pool.scope(|s| {
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for (ig, (prev, fut)) in prev.iter().zip(fut.iter_mut()).enumerate() {
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let k = &k;
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s.spawn(move |_| {
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F::assign(fut, prev);
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for (ik, &a) in BTableau::A[i - 1].iter().enumerate() {
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if a == 0.0 {
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continue;
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}
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F::scaled_add(fut, &k[ik][ig], a * dt);
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}
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});
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}
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});
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simtime = *time + dt * BTableau::C[i - 1];
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}
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_ if i == BTableau::S => {
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pool.scope(|s| {
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for (ig, (prev, fut)) in prev.iter().zip(fut.iter_mut()).enumerate() {
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let k = &k;
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s.spawn(move |_| {
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F::assign(fut, prev);
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for (ik, &b) in BTableau::B.iter().enumerate() {
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if b == 0.0 {
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continue;
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}
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F::scaled_add(fut, &k[ik][ig], b * dt);
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}
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});
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}
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});
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*time += dt;
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return;
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}
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_ => {
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unreachable!();
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}
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};
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rhs(&mut k[i], &fut, simtime);
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}
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}
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#[test]
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/// Solving a second order PDE
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fn ballistic() {
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