2020-04-15 17:49:59 +00:00
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use either::*;
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2020-04-15 18:18:51 +00:00
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use structopt::StructOpt;
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2020-04-15 17:49:59 +00:00
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use sbp::operators::{SbpOperator2d, UpwindOperator2d};
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2020-03-31 22:08:55 +00:00
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use sbp::*;
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2020-04-13 11:31:01 +00:00
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mod file;
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2020-09-03 21:49:45 +00:00
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mod parsing;
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2020-04-13 11:31:01 +00:00
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use file::*;
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2020-04-15 21:58:39 +00:00
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pub(crate) type DiffOp = Either<Box<dyn SbpOperator2d>, Box<dyn UpwindOperator2d>>;
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2020-04-12 22:00:27 +00:00
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struct System {
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2020-03-31 22:08:55 +00:00
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fnow: Vec<euler::Field>,
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fnext: Vec<euler::Field>,
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2020-04-12 19:32:20 +00:00
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wb: Vec<euler::WorkBuffers>,
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2020-03-31 22:08:55 +00:00
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k: [Vec<euler::Field>; 4],
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2020-04-03 22:29:02 +00:00
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grids: Vec<grid::Grid>,
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2020-04-15 17:49:59 +00:00
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metrics: Vec<grid::Metrics>,
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2020-04-02 19:36:56 +00:00
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bt: Vec<euler::BoundaryCharacteristics>,
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2020-04-10 10:30:18 +00:00
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eb: Vec<euler::BoundaryStorage>,
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2020-04-06 20:11:35 +00:00
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time: Float,
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2020-04-15 21:58:39 +00:00
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operators: Vec<DiffOp>,
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2020-03-31 22:08:55 +00:00
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}
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2020-04-12 22:00:27 +00:00
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impl System {
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fn new(
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grids: Vec<grid::Grid>,
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bt: Vec<euler::BoundaryCharacteristics>,
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2020-04-15 21:58:39 +00:00
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operators: Vec<DiffOp>,
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2020-04-12 22:00:27 +00:00
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) -> Self {
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2020-03-31 22:08:55 +00:00
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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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2020-04-12 19:32:20 +00:00
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.map(|g| euler::WorkBuffers::new(g.ny(), g.nx()))
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2020-03-31 22:08:55 +00:00
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.collect();
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let k = [fnow.clone(), fnow.clone(), fnow.clone(), fnow.clone()];
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2020-04-12 22:00:27 +00:00
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let metrics = grids
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.iter()
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2020-04-15 17:49:59 +00:00
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.zip(&operators)
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.map(|(g, op)| {
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let sbpop: &dyn SbpOperator2d = op.as_ref().either(|op| &**op, |uo| uo.as_sbp());
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g.metrics(sbpop).unwrap()
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2020-04-12 22:00:27 +00:00
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})
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.collect::<Vec<_>>();
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2020-04-06 20:11:35 +00:00
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let eb = bt
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.iter()
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.zip(&grids)
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2020-04-10 10:30:18 +00:00
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.map(|(bt, grid)| euler::BoundaryStorage::new(bt, grid))
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2020-04-06 20:11:35 +00:00
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.collect();
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2020-03-31 22:08:55 +00:00
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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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2020-04-03 22:29:02 +00:00
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metrics,
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2020-04-02 19:36:56 +00:00
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bt,
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2020-04-06 20:11:35 +00:00
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eb,
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time: 0.0,
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2020-04-15 17:49:59 +00:00
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operators,
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2020-03-31 22:08:55 +00:00
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}
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}
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2020-04-22 21:59:06 +00:00
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fn vortex(&mut self, t: Float, vortex_params: &euler::VortexParameters) {
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2020-03-31 22:08:55 +00:00
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for (f, g) in self.fnow.iter_mut().zip(&self.grids) {
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2020-04-22 21:59:06 +00:00
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f.vortex(g.x(), g.y(), t, &vortex_params);
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2020-03-31 22:08:55 +00:00
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}
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}
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2020-04-12 10:35:16 +00:00
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fn advance(&mut self, dt: Float, pool: &rayon::ThreadPool) {
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2020-04-12 22:00:27 +00:00
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let metrics = &self.metrics;
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2020-04-13 16:39:21 +00:00
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let grids = &self.grids;
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let bt = &self.bt;
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let wb = &mut self.wb;
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2020-04-22 20:22:19 +00:00
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let eb = &mut self.eb;
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2020-04-15 17:49:59 +00:00
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let operators = &self.operators;
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2020-04-13 16:39:21 +00:00
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2020-04-16 18:40:22 +00:00
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let rhs = move |fut: &mut [euler::Field], prev: &[euler::Field], time: Float| {
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2020-04-22 20:22:19 +00:00
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let prev_all = &prev;
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2020-04-12 10:35:16 +00:00
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pool.scope(|s| {
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2020-04-22 20:22:19 +00:00
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for (((((((fut, prev), wb), grid), metrics), op), bt), eb) in fut
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2020-04-12 10:35:16 +00:00
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.iter_mut()
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.zip(prev.iter())
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.zip(wb.iter_mut())
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2020-04-22 20:22:19 +00:00
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.zip(grids)
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2020-04-12 10:35:16 +00:00
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.zip(metrics.iter())
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2020-04-15 17:49:59 +00:00
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.zip(operators.iter())
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2020-04-22 20:22:19 +00:00
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.zip(bt.iter())
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.zip(eb.iter_mut())
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2020-04-02 21:36:20 +00:00
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{
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2020-04-22 20:22:19 +00:00
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s.spawn(move |_| {
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let bc = euler::boundary_extracts(prev_all, bt, prev, grid, eb, time);
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match op.as_ref() {
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Left(sbp) => {
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euler::RHS_trad(&**sbp, fut, prev, metrics, &bc, &mut wb.0);
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}
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Right(uo) => {
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euler::RHS_upwind(&**uo, fut, prev, metrics, &bc, &mut wb.0);
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}
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2020-04-12 22:00:27 +00:00
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}
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2020-04-15 17:49:59 +00:00
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})
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2020-04-02 21:36:20 +00:00
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}
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});
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2020-04-12 10:35:16 +00:00
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};
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2020-04-12 22:00:27 +00:00
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2020-04-12 10:35:16 +00:00
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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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2020-04-16 18:40:22 +00:00
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sbp::integrate::integrate_multigrid::<sbp::integrate::Rk4, _, _>(
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2020-04-12 10:35:16 +00:00
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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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);
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std::mem::swap(&mut self.fnow, &mut self.fnext);
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2020-04-02 21:36:20 +00:00
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}
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2020-05-03 18:45:27 +00:00
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/// Suggested maximum dt for this problem
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fn max_dt(&self) -> Float {
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2020-09-04 15:44:06 +00:00
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let is_h2 = self.operators.iter().any(|op| {
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2020-05-04 15:59:49 +00:00
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op.as_ref().either(
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|op| op.is_h2xi() || op.is_h2eta(),
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|op| op.is_h2xi() || op.is_h2eta(),
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)
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2020-09-04 15:44:06 +00:00
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});
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let c_max = if is_h2 { 0.5 } else { 1.0 };
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2020-05-03 18:45:27 +00:00
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let mut max_dt: Float = Float::INFINITY;
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for (field, metrics) in self.fnow.iter().zip(self.metrics.iter()) {
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let nx = field.nx();
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let ny = field.ny();
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let rho = field.rho();
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let rhou = field.rhou();
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let rhov = field.rhov();
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let mut max_u: Float = 0.0;
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let mut max_v: Float = 0.0;
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for ((((((rho, rhou), rhov), detj_dxi_dx), detj_dxi_dy), detj_deta_dx), detj_deta_dy) in
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rho.iter()
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.zip(rhou.iter())
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.zip(rhov.iter())
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.zip(metrics.detj_dxi_dx())
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.zip(metrics.detj_dxi_dy())
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.zip(metrics.detj_deta_dx())
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.zip(metrics.detj_deta_dy())
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{
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let u = rhou / rho;
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let v = rhov / rho;
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let uhat: Float = detj_dxi_dx * u + detj_dxi_dy * v;
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let vhat: Float = detj_deta_dx * u + detj_deta_dy * v;
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max_u = max_u.max(uhat.abs());
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max_v = max_v.max(vhat.abs());
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}
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let dx = 1.0 / nx as Float;
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let dy = 1.0 / ny as Float;
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let c_dt = Float::max(max_u / dx, max_v / dy);
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max_dt = Float::min(max_dt, c_max / c_dt);
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}
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max_dt
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}
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2020-03-31 22:08:55 +00:00
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}
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2020-04-06 20:32:36 +00:00
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2020-04-02 19:36:56 +00:00
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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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2020-04-03 20:30:30 +00:00
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/// Disable the progressbar
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#[structopt(long)]
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2020-04-02 20:32:07 +00:00
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no_progressbar: bool,
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2020-04-03 20:30:30 +00:00
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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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2020-04-04 20:14:15 +00:00
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/// Name of output file
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2020-04-10 09:53:37 +00:00
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#[structopt(default_value = "output.hdf", long, short)]
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2020-04-04 20:14:15 +00:00
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output: std::path::PathBuf,
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2020-04-07 21:25:19 +00:00
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/// Number of outputs to save
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#[structopt(long, short)]
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number_of_outputs: Option<u64>,
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2020-04-08 18:04:12 +00:00
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/// Print the time to complete, taken in the compute loop
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#[structopt(long)]
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timings: bool,
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2020-04-08 18:19:50 +00:00
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/// Print error at the end of the run
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#[structopt(long)]
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error: bool,
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2020-03-31 22:08:55 +00:00
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}
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fn main() {
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2020-04-02 19:36:56 +00:00
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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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2020-03-31 22:08:55 +00:00
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2020-09-03 21:49:45 +00:00
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let config: parsing::Configuration = json5::from_str(&filecontents).unwrap();
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2020-04-03 22:29:02 +00:00
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2020-09-03 21:49:45 +00:00
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let parsing::RuntimeConfiguration {
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names,
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grids,
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bc: bt,
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op: operators,
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integration_time,
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vortex: vortexparams,
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2020-09-04 15:44:06 +00:00
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} = config.into_runtime();
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2020-03-31 22:08:55 +00:00
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2020-04-15 21:58:39 +00:00
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let mut sys = System::new(grids, bt, operators);
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2020-04-22 21:59:06 +00:00
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sys.vortex(0.0, &vortexparams);
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2020-04-02 19:36:56 +00:00
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2020-05-03 18:45:27 +00:00
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let dt = sys.max_dt();
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2020-04-02 20:32:07 +00:00
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2020-04-04 20:14:15 +00:00
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let ntime = (integration_time / dt).round() as u64;
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2020-04-02 20:32:07 +00:00
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2020-04-07 19:23:51 +00:00
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let pool = {
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2020-04-03 20:30:30 +00:00
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let builder = rayon::ThreadPoolBuilder::new();
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2020-04-07 19:23:51 +00:00
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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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2020-04-03 20:30:30 +00:00
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} else {
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2020-04-07 19:23:51 +00:00
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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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2020-04-02 21:36:20 +00:00
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};
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2020-04-07 21:25:19 +00:00
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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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if num_out == 0 {
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false
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} else {
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itime % (std::cmp::max(ntime / (num_out - 1), 1)) == 0
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}
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})
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};
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2020-04-22 18:47:26 +00:00
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let output = File::create(&opt.output, sys.grids.as_slice(), names).unwrap();
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2020-04-07 20:54:00 +00:00
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let mut output = OutputThread::new(output);
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2020-04-07 19:23:51 +00:00
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2020-04-12 18:44:52 +00:00
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let progressbar = progressbar(opt.no_progressbar, ntime);
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2020-04-08 18:04:12 +00:00
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let timer = if opt.timings {
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Some(std::time::Instant::now())
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} else {
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None
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};
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2020-04-07 21:25:19 +00:00
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for itime in 0..ntime {
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if should_output(itime) {
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output.add_timestep(itime, &sys.fnow);
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}
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2020-04-12 18:44:52 +00:00
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progressbar.inc(1);
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2020-04-07 19:23:51 +00:00
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sys.advance(dt, &pool);
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2020-04-01 20:37:01 +00:00
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}
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2020-04-12 18:44:52 +00:00
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progressbar.finish_and_clear();
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2020-04-01 20:37:01 +00:00
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2020-04-08 18:04:12 +00:00
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if let Some(timer) = timer {
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let duration = timer.elapsed();
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println!("Time elapsed: {} seconds", duration.as_secs_f64());
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}
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2020-04-07 20:54:00 +00:00
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output.add_timestep(ntime, &sys.fnow);
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2020-04-08 18:19:50 +00:00
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if opt.error {
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2020-04-11 13:19:34 +00:00
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let time = ntime as Float * dt;
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2020-04-08 18:19:50 +00:00
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let mut e = 0.0;
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2020-04-15 17:49:59 +00:00
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for ((fmod, grid), op) in sys.fnow.iter().zip(&sys.grids).zip(&sys.operators) {
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2020-04-08 18:19:50 +00:00
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let mut fvort = fmod.clone();
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2020-04-22 21:59:06 +00:00
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fvort.vortex(grid.x(), grid.y(), time, &vortexparams);
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2020-04-15 17:49:59 +00:00
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let sbpop: &dyn SbpOperator2d = op.as_ref().either(|op| &**op, |uo| uo.as_sbp());
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e += fmod.h2_err(&fvort, sbpop);
|
2020-04-08 18:19:50 +00:00
|
|
|
}
|
|
|
|
println!("Total error: {:e}", e);
|
|
|
|
}
|
2020-04-01 20:37:01 +00:00
|
|
|
}
|
|
|
|
|
2020-04-06 20:42:44 +00:00
|
|
|
fn progressbar(dummy: bool, ntime: u64) -> indicatif::ProgressBar {
|
|
|
|
if dummy {
|
|
|
|
indicatif::ProgressBar::hidden()
|
|
|
|
} else {
|
2020-04-12 18:44:52 +00:00
|
|
|
let progressbar = indicatif::ProgressBar::new(ntime);
|
|
|
|
progressbar.with_style(
|
2020-04-06 20:42:44 +00:00
|
|
|
indicatif::ProgressStyle::default_bar()
|
|
|
|
.template("{wide_bar:.cyan/blue} {pos}/{len} ({eta})"),
|
|
|
|
)
|
|
|
|
}
|
|
|
|
}
|