498 lines
17 KiB
Rust
498 lines
17 KiB
Rust
use sbp::utils::json_to_grids;
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use sbp::*;
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use structopt::StructOpt;
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struct System<T: operators::UpwindOperator> {
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fnow: Vec<euler::Field>,
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fnext: Vec<euler::Field>,
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wb: Vec<(
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euler::Field,
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euler::Field,
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euler::Field,
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euler::Field,
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euler::Field,
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euler::Field,
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)>,
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k: [Vec<euler::Field>; 4],
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grids: Vec<grid::Grid>,
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metrics: Vec<grid::Metrics<T>>,
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bt: Vec<euler::BoundaryCharacteristics>,
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}
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impl<T: operators::UpwindOperator> System<T> {
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fn new(grids: Vec<grid::Grid>, bt: Vec<euler::BoundaryCharacteristics>) -> Self {
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let fnow = grids
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.iter()
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.map(|g| euler::Field::new(g.ny(), g.nx()))
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.collect::<Vec<_>>();
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let fnext = fnow.clone();
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let wb = grids
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.iter()
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.map(|g| {
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let f = euler::Field::new(g.ny(), g.nx());
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(f.clone(), f.clone(), f.clone(), f.clone(), f.clone(), f)
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})
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.collect();
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let k = [fnow.clone(), fnow.clone(), fnow.clone(), fnow.clone()];
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let metrics = grids.iter().map(|g| g.metrics().unwrap()).collect();
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Self {
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fnow,
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fnext,
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k,
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wb,
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grids,
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metrics,
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bt,
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}
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}
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fn vortex(&mut self, t: Float, vortex_params: euler::VortexParameters) {
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for (f, g) in self.fnow.iter_mut().zip(&self.grids) {
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f.vortex(g.x(), g.y(), t, vortex_params);
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}
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}
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fn advance(&mut self, dt: Float) {
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for i in 0.. {
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let fnext;
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match i {
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0 => {
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for (prev, fut) in self.fnow.iter().zip(self.fnext.iter_mut()) {
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fut.assign(prev);
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}
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fnext = &mut self.k[i];
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}
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1 | 2 => {
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for ((prev, fut), k) in self
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.fnow
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.iter()
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.zip(self.fnext.iter_mut())
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.zip(&self.k[i - 1])
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{
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fut.assign(prev);
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fut.scaled_add(1.0 / 2.0 * dt, k);
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}
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fnext = &mut self.k[i];
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}
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3 => {
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for ((prev, fut), k) in self
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.fnow
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.iter()
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.zip(self.fnext.iter_mut())
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.zip(&self.k[i - 1])
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{
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fut.assign(prev);
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fut.scaled_add(dt, k);
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}
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fnext = &mut self.k[i];
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}
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4 => {
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for (((((prev, fut), k0), k1), k2), k3) in self
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.fnow
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.iter()
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.zip(self.fnext.iter_mut())
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.zip(&self.k[0])
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.zip(&self.k[1])
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.zip(&self.k[2])
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.zip(&self.k[3])
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{
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ndarray::Zip::from(&mut **fut)
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.and(&**prev)
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.and(&**k0)
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.and(&**k1)
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.and(&**k2)
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.and(&**k3)
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.apply(|y1, &y0, &k1, &k2, &k3, &k4| {
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*y1 = y0 + dt / 6.0 * (k1 + 2.0 * k2 + 2.0 * k3 + k4)
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});
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}
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std::mem::swap(&mut self.fnext, &mut self.fnow);
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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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let fields = &self.fnext;
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let bt = self
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.bt
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.iter()
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.enumerate()
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.map(|(i, bt)| euler::BoundaryTerms {
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north: match bt.north {
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euler::BoundaryCharacteristic::This => fields[i].south(),
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euler::BoundaryCharacteristic::Grid(g) => fields[g].south(),
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euler::BoundaryCharacteristic::Vortex(_) => todo!(),
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},
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south: match bt.south {
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euler::BoundaryCharacteristic::This => fields[i].north(),
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euler::BoundaryCharacteristic::Grid(g) => fields[g].north(),
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euler::BoundaryCharacteristic::Vortex(_) => todo!(),
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},
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west: match bt.west {
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euler::BoundaryCharacteristic::This => fields[i].east(),
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euler::BoundaryCharacteristic::Grid(g) => fields[g].east(),
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euler::BoundaryCharacteristic::Vortex(_) => todo!(),
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},
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east: match bt.east {
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euler::BoundaryCharacteristic::This => fields[i].west(),
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euler::BoundaryCharacteristic::Grid(g) => fields[g].west(),
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euler::BoundaryCharacteristic::Vortex(_) => todo!(),
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},
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})
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.collect::<Vec<_>>();
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for ((((prev, fut), metrics), wb), bt) in fields
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.iter()
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.zip(fnext)
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.zip(&self.metrics)
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.zip(&mut self.wb)
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.zip(bt)
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{
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euler::RHS_upwind(fut, prev, metrics, &bt, wb)
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}
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}
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}
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fn advance_parallel(&mut self, dt: Float, s: &rayon::ThreadPool) {
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for i in 0.. {
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match i {
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0 => {
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s.scope(|s| {
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for (prev, fut) in self.fnow.iter().zip(self.fnext.iter_mut()) {
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s.spawn(move |_| {
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fut.assign(prev);
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});
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}
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});
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}
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1 | 2 => {
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s.scope(|s| {
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for ((prev, fut), k) in self
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.fnow
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.iter()
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.zip(self.fnext.iter_mut())
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.zip(&self.k[i - 1])
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{
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s.spawn(move |_| {
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fut.assign(prev);
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fut.scaled_add(1.0 / 2.0 * dt, k);
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});
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}
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});
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}
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3 => {
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s.scope(|s| {
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for ((prev, fut), k) in self
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.fnow
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.iter()
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.zip(self.fnext.iter_mut())
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.zip(&self.k[i - 1])
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{
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s.spawn(move |_| {
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fut.assign(prev);
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fut.scaled_add(dt, k);
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});
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}
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});
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}
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4 => {
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s.scope(|s| {
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for (((((prev, fut), k0), k1), k2), k3) in self
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.fnow
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.iter()
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.zip(self.fnext.iter_mut())
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.zip(&self.k[0])
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.zip(&self.k[1])
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.zip(&self.k[2])
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.zip(&self.k[3])
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{
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s.spawn(move |_| {
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ndarray::Zip::from(&mut **fut)
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.and(&**prev)
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.and(&**k0)
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.and(&**k1)
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.and(&**k2)
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.and(&**k3)
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.apply(|y1, &y0, &k1, &k2, &k3, &k4| {
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*y1 = y0 + dt / 6.0 * (k1 + 2.0 * k2 + 2.0 * k3 + k4)
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});
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});
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}
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});
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std::mem::swap(&mut self.fnext, &mut self.fnow);
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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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s.scope(|s| {
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let fields = &self.fnext;
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let bt = self
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.bt
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.iter()
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.enumerate()
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.map(|(i, bt)| euler::BoundaryTerms {
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north: match bt.north {
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euler::BoundaryCharacteristic::This => fields[i].south(),
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euler::BoundaryCharacteristic::Grid(g) => fields[g].south(),
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euler::BoundaryCharacteristic::Vortex(_) => todo!(),
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},
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south: match bt.south {
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euler::BoundaryCharacteristic::This => fields[i].north(),
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euler::BoundaryCharacteristic::Grid(g) => fields[g].north(),
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euler::BoundaryCharacteristic::Vortex(_) => todo!(),
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},
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west: match bt.west {
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euler::BoundaryCharacteristic::This => fields[i].east(),
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euler::BoundaryCharacteristic::Grid(g) => fields[g].east(),
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euler::BoundaryCharacteristic::Vortex(_) => todo!(),
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},
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east: match bt.east {
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euler::BoundaryCharacteristic::This => fields[i].west(),
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euler::BoundaryCharacteristic::Grid(g) => fields[g].west(),
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euler::BoundaryCharacteristic::Vortex(_) => todo!(),
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},
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})
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.collect::<Vec<_>>();
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for ((((prev, fut), metrics), wb), bt) in fields
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.iter()
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.zip(&mut self.k[i])
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.zip(&self.metrics)
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.zip(&mut self.wb)
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.zip(bt)
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{
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s.spawn(move |_| euler::RHS_upwind(fut, prev, metrics, &bt, wb));
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}
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});
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}
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}
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}
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#[derive(Debug, StructOpt)]
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struct Options {
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json: std::path::PathBuf,
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/// Disable the progressbar
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#[structopt(long)]
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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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/// Name of output file
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#[structopt(default_value = "output")]
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output: std::path::PathBuf,
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/// Output on the legacy format
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#[structopt(long)]
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legacy: bool,
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}
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fn main() {
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let opt = Options::from_args();
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let filecontents = std::fs::read_to_string(&opt.json).unwrap();
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let json = json::parse(&filecontents).unwrap();
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let jgrids = json_to_grids(json["grids"].clone()).unwrap();
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let mut bt = Vec::with_capacity(jgrids.len());
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let determine_bc = |dir| match dir {
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Some(dir) => euler::BoundaryCharacteristic::Grid(
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jgrids
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.iter()
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.position(|other| other.name.as_ref().map_or(false, |name| name == dir))
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.unwrap(),
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),
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None => euler::BoundaryCharacteristic::This,
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};
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for grid in &jgrids {
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bt.push(euler::BoundaryCharacteristics {
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north: determine_bc(grid.dirn.as_ref()),
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south: determine_bc(grid.dirs.as_ref()),
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east: determine_bc(grid.dire.as_ref()),
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west: determine_bc(grid.dirw.as_ref()),
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});
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}
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let grids = jgrids.into_iter().map(|egrid| egrid.grid).collect();
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let integration_time: Float = json["integration_time"].as_number().unwrap().into();
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let vortexparams = utils::json_to_vortex(json["vortex"].clone());
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let mut sys = System::<sbp::operators::Upwind4>::new(grids, bt);
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sys.vortex(0.0, vortexparams);
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let max_n = {
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let max_nx = sys.grids.iter().map(|g| g.nx()).max().unwrap();
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let max_ny = sys.grids.iter().map(|g| g.ny()).max().unwrap();
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std::cmp::max(max_nx, max_ny)
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};
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let dt = 0.2 / (max_n as Float);
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let ntime = (integration_time / dt).round() as u64;
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let pool = if let Some(j) = opt.jobs {
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let builder = rayon::ThreadPoolBuilder::new();
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let builder = 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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Some(builder.build().unwrap())
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} else {
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None
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};
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let output = if opt.legacy {
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None
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} else {
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Some(create_hdf(&opt.output, sys.grids.as_slice()).unwrap())
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};
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if let Some(file) = output.as_ref() {
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add_timestep_to_file(&file, 0, sys.fnow.as_slice()).unwrap();
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}
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let bar = if opt.no_progressbar {
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indicatif::ProgressBar::hidden()
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} else {
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let bar = indicatif::ProgressBar::new(ntime as _);
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bar.with_style(
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indicatif::ProgressStyle::default_bar()
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.template("{wide_bar:.cyan/blue} {pos}/{len} ({eta})"),
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)
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};
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for _ in 0..ntime {
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bar.inc(1);
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if let Some(pool) = pool.as_ref() {
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sys.advance_parallel(dt, &pool);
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} else {
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sys.advance(dt);
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}
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}
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bar.finish();
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if let Some(file) = output.as_ref() {
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add_timestep_to_file(&file, ntime, sys.fnow.as_slice()).unwrap();
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} else {
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legacy_output(&opt.output, &sys);
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}
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}
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fn legacy_output<T: sbp::operators::UpwindOperator, P: AsRef<std::path::Path>>(
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path: &P,
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sys: &System<T>,
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) {
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use std::io::prelude::*;
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let file = std::fs::File::create(path).unwrap();
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let mut file = std::io::BufWriter::new(file);
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let ngrids = sys.grids.len();
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file.write_all(&(ngrids as u32).to_le_bytes()).unwrap();
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for (grid, s) in sys.grids.iter().zip(&sys.fnow) {
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file.write_all(&(grid.ny() as u32).to_le_bytes()).unwrap();
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file.write_all(&(grid.nx() as u32).to_le_bytes()).unwrap();
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for x in grid.x().as_slice().unwrap() {
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file.write_all(&(x.to_le_bytes())).unwrap();
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}
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for y in grid.y().as_slice().unwrap() {
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file.write_all(&(y.to_le_bytes())).unwrap();
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}
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for rho in s.rho().as_slice().unwrap() {
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file.write_all(&(rho.to_le_bytes())).unwrap();
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}
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for rhou in s.rhou().as_slice().unwrap() {
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file.write_all(&(rhou.to_le_bytes())).unwrap();
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}
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for rhov in s.rhov().as_slice().unwrap() {
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file.write_all(&(rhov.to_le_bytes())).unwrap();
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}
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for e in s.e().as_slice().unwrap() {
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file.write_all(&(e.to_le_bytes())).unwrap();
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}
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}
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}
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fn create_hdf<P: AsRef<std::path::Path>>(
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path: P,
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grids: &[sbp::grid::Grid],
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) -> Result<hdf5::File, Box<dyn std::error::Error>> {
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let gzip = 7;
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let file = hdf5::File::create(path.as_ref())?;
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let _tds = file
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.new_dataset::<u64>()
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.resizable(true)
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.chunk((1,))
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.create("t", (0,))?;
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for (i, grid) in grids.iter().enumerate() {
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let g = file.create_group(&i.to_string())?;
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g.link_soft("/t", "t").unwrap();
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let add_dim = |name| {
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g.new_dataset::<Float>()
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.gzip(gzip)
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.create(name, (grid.ny(), grid.nx()))
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};
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let xds = add_dim("x")?;
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xds.write(grid.x())?;
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let yds = add_dim("y")?;
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yds.write(grid.y())?;
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let add_var = |name| {
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g.new_dataset::<Float>()
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.gzip(gzip)
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.chunk((1, grid.ny(), grid.nx()))
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.resizable_idx(&[true, false, false])
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.create(name, (0, grid.ny(), grid.nx()))
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};
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add_var("rho")?;
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add_var("rhou")?;
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add_var("rhov")?;
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add_var("e")?;
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}
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Ok(file)
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}
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fn add_timestep_to_file(
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file: &hdf5::File,
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t: u64,
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fields: &[euler::Field],
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) -> Result<(), Box<dyn std::error::Error>> {
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let tds = file.dataset("t")?;
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let tpos = tds.size();
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tds.resize((tpos + 1,))?;
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tds.write_slice(&[t], ndarray::s![tpos..tpos + 1])?;
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for (i, fnow) in fields.iter().enumerate() {
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let g = file.group(&i.to_string())?;
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let (tpos, ny, nx) = {
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let ds = g.dataset("rho")?;
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let shape = ds.shape();
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(shape[0], shape[1], shape[2])
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};
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let rhods = g.dataset("rho")?;
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let rhouds = g.dataset("rhou")?;
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let rhovds = g.dataset("rhov")?;
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let eds = g.dataset("e")?;
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let (rho, rhou, rhov, e) = fnow.components();
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rhods.resize((tpos + 1, ny, nx))?;
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rhods.write_slice(rho, ndarray::s![tpos, .., ..])?;
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rhouds.resize((tpos + 1, ny, nx))?;
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rhouds.write_slice(rhou, ndarray::s![tpos, .., ..])?;
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rhovds.resize((tpos + 1, ny, nx))?;
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rhovds.write_slice(rhov, ndarray::s![tpos, .., ..])?;
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eds.resize((tpos + 1, ny, nx))?;
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eds.write_slice(e, ndarray::s![tpos, .., ..])?;
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}
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Ok(())
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}
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