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use super::helpers::{self, ConvFuns, ConvoluteMode};
use super::{GlobalConfiguration, Subcommand};
use anyhow::{Error, Result};
use clap::{Parser, ValueHint};
use lhapdf::{Pdf, PdfSet};
use prettytable::{Row, cell};
use rayon::{ThreadPoolBuilder, prelude::*};
use std::num::NonZeroUsize;
use std::path::PathBuf;
use std::process::ExitCode;
use std::thread;
// TODO: do we need the CL parameter?
/// Calculates the pull between two different PDF sets.
#[derive(Parser)]
pub struct Opts {
/// Path to the input grid.
#[arg(value_hint = ValueHint::FilePath)]
input: PathBuf,
/// LHAPDF ID(s) or name(s) of the first PDF(s)/FF(s).
conv_funs1: ConvFuns,
/// LHAPDF ID(s) or name(s) of the second PDF(s)/FF(s).
conv_funs2: ConvFuns,
/// Index of the convolution functions for which the pull should be calculated.
#[arg(default_value = "0", long, value_name = "IDX")]
pull_from: usize,
/// Confidence level in per cent.
#[arg(default_value_t = lhapdf::CL_1_SIGMA, long)]
cl: f64,
/// The maximum number of channels displayed.
#[arg(default_value_t = 10, long, short)]
limit: usize,
/// Select orders manually.
#[arg(
long,
num_args = 1,
short,
value_delimiter = ',',
value_parser = helpers::parse_order
)]
orders: Vec<(u8, u8)>,
/// Number of threads to utilize.
#[arg(default_value_t = thread::available_parallelism().map_or(1, NonZeroUsize::get), long)]
threads: usize,
/// Set the number of digits shown for numerical values.
#[arg(default_value_t = 3, long)]
digits: usize,
}
impl Subcommand for Opts {
fn run(&self, cfg: &GlobalConfiguration) -> Result<ExitCode> {
let grid = helpers::read_grid(&self.input)?;
let (set1, mut conv_funs1) =
helpers::create_conv_funs_for_set(&self.conv_funs1, self.pull_from)?;
let (set2, mut conv_funs2) =
helpers::create_conv_funs_for_set(&self.conv_funs2, self.pull_from)?;
ThreadPoolBuilder::new()
.num_threads(self.threads)
.build_global()
.unwrap();
let limit = grid.channels().len().min(self.limit);
let bin_limits = helpers::convolve_limits(&grid, &[], ConvoluteMode::Normal);
let results1: Vec<_> = conv_funs1
.par_iter_mut()
.map(|funs| {
Ok::<_, Error>(helpers::convolve(
&grid,
funs,
&self.conv_funs1.conv_types,
&self.orders,
&[],
&[],
1,
ConvoluteMode::Normal,
cfg,
))
})
.collect::<Result<_, _>>()?;
let results1: Vec<Vec<_>> = (0..results1[0].len())
.map(|bin| (0..results1.len()).map(|pdf| results1[pdf][bin]).collect())
.collect();
let results2: Vec<_> = conv_funs2
.par_iter_mut()
.map(|funs| {
Ok::<_, Error>(helpers::convolve(
&grid,
funs,
&self.conv_funs2.conv_types,
&self.orders,
&[],
&[],
1,
ConvoluteMode::Normal,
cfg,
))
})
.collect::<Result<_, _>>()?;
let results2: Vec<Vec<_>> = (0..results2[0].len())
.map(|bin| (0..results2.len()).map(|pdf| results2[pdf][bin]).collect())
.collect();
let mut title = Row::empty();
title.add_cell(cell!(c->"b"));
for (x_label, x_unit) in helpers::labels_and_units(&grid, false).0 {
let mut cell = cell!(c->format!("{x_label}\n[{x_unit}]"));
cell.set_hspan(2);
title.add_cell(cell);
}
title.add_cell(cell!(c->"total\n[\u{3c3}]"));
for _ in 0..limit {
title.add_cell(cell!(c->"c"));
title.add_cell(cell!(c->"pull\n[\u{3c3}]"));
}
let mut table = helpers::create_table();
table.set_titles(title);
for (bin, limits) in bin_limits.iter().enumerate() {
let (total, unc1, unc2) = {
let values1 = &results1[bin];
let values2 = &results2[bin];
let uncertainty1 = set1.uncertainty(values1, self.cl, false)?;
let uncertainty2 = set2.uncertainty(values2, self.cl, false)?;
// if requested use the given member instead of the central value
let diff = self.conv_funs2.members[self.pull_from]
.map_or(uncertainty2.central, |member| values2[member])
- self.conv_funs1.members[self.pull_from]
.map_or(uncertainty1.central, |member| values1[member]);
// use the uncertainties in the direction in which they point to each other
let (unc1, unc2) = if diff > 0.0 {
(uncertainty2.errminus, uncertainty1.errplus)
} else {
(uncertainty1.errminus, uncertainty2.errplus)
};
(diff / unc1.hypot(unc2), unc1, unc2)
};
let channel_results =
|conv_funs: &ConvFuns, pdfset: &mut [Vec<Pdf>], set: &PdfSet| -> Vec<f64> {
if let Some(member) = conv_funs.members[self.pull_from] {
(0..grid.channels().len())
.map(|channel| {
let mut channel_mask = vec![false; grid.channels().len()];
channel_mask[channel] = true;
match helpers::convolve(
&grid,
&mut pdfset[member],
&conv_funs.conv_types,
&self.orders,
&[bin],
&channel_mask,
1,
ConvoluteMode::Normal,
cfg,
)
.as_slice()
{
[value] => *value,
_ => unreachable!(),
}
})
.collect()
} else {
let results: Vec<_> = pdfset
.iter_mut()
.flat_map(|fun| {
(0..grid.channels().len())
.map(|channel| {
let mut channel_mask = vec![false; grid.channels().len()];
channel_mask[channel] = true;
match helpers::convolve(
&grid,
fun,
&conv_funs.conv_types,
&self.orders,
&[bin],
&channel_mask,
1,
ConvoluteMode::Normal,
cfg,
)
.as_slice()
{
[value] => *value,
_ => unreachable!(),
}
})
.collect::<Vec<_>>()
})
.collect();
(0..grid.channels().len())
.map(|channel| {
let central: Vec<_> = results
.iter()
.skip(channel)
.step_by(grid.channels().len())
.copied()
.collect();
set.uncertainty(¢ral, self.cl, false).unwrap().central
})
.collect()
}
};
let mut pull_tuples = if self.limit == 0 {
Vec::new()
} else {
let channel_results1 = channel_results(&self.conv_funs1, &mut conv_funs1, &set1);
let channel_results2 = channel_results(&self.conv_funs2, &mut conv_funs2, &set2);
let pull_tuples: Vec<_> = channel_results2
.iter()
.zip(channel_results1.iter())
.map(|(res2, res1)| (res2 - res1) / unc1.hypot(unc2))
.enumerate()
.collect();
pull_tuples
};
let row = table.add_empty_row();
row.add_cell(cell!(r->format!("{bin}")));
for (left, right) in limits {
row.add_cell(cell!(r->format!("{left}")));
row.add_cell(cell!(r->format!("{right}")));
}
row.add_cell(cell!(r->format!("{:.*}", self.digits, total)));
// sort using the absolute value in descending order
pull_tuples.sort_unstable_by(|(_, pull_left), (_, pull_right)| {
pull_right.abs().total_cmp(&pull_left.abs())
});
for (channel, pull) in pull_tuples.iter().take(self.limit) {
row.add_cell(cell!(r->format!("{channel}")));
row.add_cell(cell!(r->format!("{:.*}", self.digits, pull)));
}
}
table.printstd();
Ok(ExitCode::SUCCESS)
}
}