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|
use std::iter;
use std::path::Path;
use std::process::Child;
use crate::stats::univariate::Sample;
use criterion_plot::prelude::*;
mod distributions;
mod iteration_times;
mod pdf;
mod regression;
mod summary;
mod t_test;
use self::distributions::*;
use self::iteration_times::*;
use self::pdf::*;
use self::regression::*;
use self::summary::*;
use self::t_test::*;
use crate::measurement::ValueFormatter;
use crate::report::{BenchmarkId, ValueType};
use crate::stats::bivariate::Data;
use super::{PlotContext, PlotData, Plotter};
use crate::format;
fn gnuplot_escape(string: &str) -> String {
string.replace('_', "\\_").replace('\'', "''")
}
static DEFAULT_FONT: &str = "Helvetica";
static KDE_POINTS: usize = 500;
static SIZE: Size = Size(1280, 720);
const LINEWIDTH: LineWidth = LineWidth(2.);
const POINT_SIZE: PointSize = PointSize(0.75);
const DARK_BLUE: Color = Color::Rgb(31, 120, 180);
const DARK_ORANGE: Color = Color::Rgb(255, 127, 0);
const DARK_RED: Color = Color::Rgb(227, 26, 28);
fn debug_script(path: &Path, figure: &Figure) {
if crate::debug_enabled() {
let mut script_path = path.to_path_buf();
script_path.set_extension("gnuplot");
info!("Writing gnuplot script to {:?}", script_path);
let result = figure.save(script_path.as_path());
if let Err(e) = result {
error!("Failed to write debug output: {}", e);
}
}
}
/// Private
trait Append<T> {
/// Private
fn append_(self, item: T) -> Self;
}
// NB I wish this was in the standard library
impl<T> Append<T> for Vec<T> {
fn append_(mut self, item: T) -> Vec<T> {
self.push(item);
self
}
}
#[derive(Default)]
pub(crate) struct Gnuplot {
process_list: Vec<Child>,
}
impl Plotter for Gnuplot {
fn pdf(&mut self, ctx: PlotContext<'_>, data: PlotData<'_>) {
let size = ctx.size.map(|(w, h)| Size(w, h));
self.process_list.push(if ctx.is_thumbnail {
if let Some(cmp) = data.comparison {
pdf_comparison_small(
ctx.id,
ctx.context,
data.formatter,
data.measurements,
cmp,
size,
)
} else {
pdf_small(ctx.id, ctx.context, data.formatter, data.measurements, size)
}
} else if let Some(cmp) = data.comparison {
pdf_comparison(
ctx.id,
ctx.context,
data.formatter,
data.measurements,
cmp,
size,
)
} else {
pdf(ctx.id, ctx.context, data.formatter, data.measurements, size)
});
}
fn regression(&mut self, ctx: PlotContext<'_>, data: PlotData<'_>) {
let size = ctx.size.map(|(w, h)| Size(w, h));
self.process_list.push(if ctx.is_thumbnail {
if let Some(cmp) = data.comparison {
let base_data = Data::new(&cmp.base_iter_counts, &cmp.base_sample_times);
regression_comparison_small(
ctx.id,
ctx.context,
data.formatter,
data.measurements,
cmp,
&base_data,
size,
)
} else {
regression_small(ctx.id, ctx.context, data.formatter, data.measurements, size)
}
} else if let Some(cmp) = data.comparison {
let base_data = Data::new(&cmp.base_iter_counts, &cmp.base_sample_times);
regression_comparison(
ctx.id,
ctx.context,
data.formatter,
data.measurements,
cmp,
&base_data,
size,
)
} else {
regression(ctx.id, ctx.context, data.formatter, data.measurements, size)
});
}
fn iteration_times(&mut self, ctx: PlotContext<'_>, data: PlotData<'_>) {
let size = ctx.size.map(|(w, h)| Size(w, h));
self.process_list.push(if ctx.is_thumbnail {
if let Some(cmp) = data.comparison {
iteration_times_comparison_small(
ctx.id,
ctx.context,
data.formatter,
data.measurements,
cmp,
size,
)
} else {
iteration_times_small(ctx.id, ctx.context, data.formatter, data.measurements, size)
}
} else if let Some(cmp) = data.comparison {
iteration_times_comparison(
ctx.id,
ctx.context,
data.formatter,
data.measurements,
cmp,
size,
)
} else {
iteration_times(ctx.id, ctx.context, data.formatter, data.measurements, size)
});
}
fn abs_distributions(&mut self, ctx: PlotContext<'_>, data: PlotData<'_>) {
let size = ctx.size.map(|(w, h)| Size(w, h));
self.process_list.extend(abs_distributions(
ctx.id,
ctx.context,
data.formatter,
data.measurements,
size,
));
}
fn rel_distributions(&mut self, ctx: PlotContext<'_>, data: PlotData<'_>) {
let size = ctx.size.map(|(w, h)| Size(w, h));
if let Some(cmp) = data.comparison {
self.process_list.extend(rel_distributions(
ctx.id,
ctx.context,
data.measurements,
cmp,
size,
));
} else {
error!("Comparison data is not provided for a relative distribution figure");
}
}
fn t_test(&mut self, ctx: PlotContext<'_>, data: PlotData<'_>) {
let size = ctx.size.map(|(w, h)| Size(w, h));
if let Some(cmp) = data.comparison {
self.process_list
.push(t_test(ctx.id, ctx.context, data.measurements, cmp, size));
} else {
error!("Comparison data is not provided for t_test plot");
}
}
fn line_comparison(
&mut self,
ctx: PlotContext<'_>,
formatter: &dyn ValueFormatter,
all_curves: &[&(&BenchmarkId, Vec<f64>)],
value_type: ValueType,
) {
let path = ctx.line_comparison_path();
self.process_list.push(line_comparison(
formatter,
ctx.id.as_title(),
all_curves,
&path,
value_type,
ctx.context.plot_config.summary_scale,
));
}
fn violin(
&mut self,
ctx: PlotContext<'_>,
formatter: &dyn ValueFormatter,
all_curves: &[&(&BenchmarkId, Vec<f64>)],
) {
let violin_path = ctx.violin_path();
self.process_list.push(violin(
formatter,
ctx.id.as_title(),
all_curves,
&violin_path,
ctx.context.plot_config.summary_scale,
));
}
fn wait(&mut self) {
let start = std::time::Instant::now();
let child_count = self.process_list.len();
for child in self.process_list.drain(..) {
match child.wait_with_output() {
Ok(ref out) if out.status.success() => {}
Ok(out) => error!("Error in Gnuplot: {}", String::from_utf8_lossy(&out.stderr)),
Err(e) => error!("Got IO error while waiting for Gnuplot to complete: {}", e),
}
}
let elapsed = &start.elapsed();
info!(
"Waiting for {} gnuplot processes took {}",
child_count,
format::time(elapsed.as_nanos() as f64)
);
}
}
|
