use crate::belief::BeliefMatching;
use crate::osd::BpOsd;
use crate::parallel::parallel;
use crate::sparse::{Correlations, Scratch, SparseGraph};
use crate::window::WindowDecoder;
pub fn match_shots(
graph: &SparseGraph,
corr: Option<&Correlations>,
packed: &[u8],
nd: usize,
num_shots: usize,
threads: usize,
) -> Vec<(u64, f64)> {
let stride = nd.div_ceil(8);
parallel(num_shots, threads, |range| {
let mut scratch = Scratch::new(graph);
let mut defects = Vec::new();
range
.map(|s| {
defects.clear();
crate::shots::defects_from_b8(&packed[s * stride..(s + 1) * stride], nd, &mut defects);
let result = match corr {
Some(corr) => graph.decode_correlated(corr, &mut scratch, &defects),
None => graph.decode(&mut scratch, &defects),
};
result.map_or((u64::MAX, f64::NAN), |p| (p.observables, p.weight))
})
.collect()
})
}
pub fn belief_shots(bm: &BeliefMatching, packed: &[u8], nd: usize, num_shots: usize, threads: usize) -> Vec<(u64, f64, u8)> {
let stride = nd.div_ceil(8);
parallel(num_shots, threads, |range| {
let mut work = bm.work();
let mut defects = Vec::new();
range
.map(|s| {
defects.clear();
crate::shots::defects_from_b8(&packed[s * stride..(s + 1) * stride], nd, &mut defects);
bm.decode(&defects, &mut work).map_or((u64::MAX, f64::NAN, 2), |o| (o.observables, o.weight, u8::from(o.converged)))
})
.collect()
})
}
pub fn bposd_shots(dec: &BpOsd, obs: &[u64], packed: &[u8], nd: usize, num_shots: usize, threads: usize) -> Vec<(u64, u8)> {
let stride = nd.div_ceil(8);
parallel(num_shots, threads, |range| {
let mut work = dec.work();
let mut syndrome = vec![0u8; nd];
range
.map(|s| {
let row = &packed[s * stride..(s + 1) * stride];
for (i, x) in syndrome.iter_mut().enumerate() {
*x = (row[i / 8] >> (i % 8)) & 1;
}
let o = dec.decode(&syndrome, &mut work);
let pred = work.correction.iter().zip(obs).filter(|(c, _)| **c != 0).fold(0u64, |a, (_, o)| a ^ o);
(pred, u8::from(o.converged))
})
.collect()
})
}
pub fn window_shots(
wd: &WindowDecoder,
packed: &[u8],
nd: usize,
num_shots: usize,
correlated: bool,
threads: usize,
timings: bool,
) -> Vec<(u64, usize, Vec<f64>, bool)> {
let stride = nd.div_ceil(8);
let nw = wd.windows.len();
parallel(num_shots, threads, |range| {
let mut scratches = wd.scratches();
let mut live = vec![false; nd];
range
.map(|s| {
let row = &packed[s * stride..(s + 1) * stride];
for (i, l) in live.iter_mut().enumerate() {
*l = (row[i / 8] >> (i % 8)) & 1 == 1;
}
let (mut obs, mut failed) = (0u64, false);
let mut times = vec![0.0; if timings { nw } else { 0 }];
'windows: for phase in &wd.phases {
for &wi in phase {
let start = timings.then(std::time::Instant::now);
if wd.decode_window(wi, &mut live, &mut obs, correlated, &mut scratches[wi]).is_err() {
failed = true;
break 'windows;
}
if let Some(start) = start {
times[wi] = start.elapsed().as_secs_f64();
}
}
}
let unexplained = if failed { 0 } else { live.iter().filter(|&&b| b).count() };
(if failed { u64::MAX } else { obs }, unexplained, times, failed)
})
.collect()
})
}
pub type WindowInfo = (u32, u32, u32, u32, usize, Vec<usize>);
pub fn window_info(wd: &WindowDecoder) -> Vec<WindowInfo> {
let mut phase_of = vec![0usize; wd.windows.len()];
for (k, phase) in wd.phases.iter().enumerate() {
for &wi in phase {
phase_of[wi] = k;
}
}
let deps = crate::stream::dependencies(&wd.specs, wd.mode);
wd.windows
.iter()
.zip(deps)
.enumerate()
.map(|(i, (w, deps))| (w.window.layers.0, w.window.layers.1, w.commit.0, w.commit.1, phase_of[i], deps))
.collect()
}