pineappl_cli 1.4.1

Read, write, and query PineAPPL grids
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144

use super::helpers::{self, ConvFuns, ConvoluteMode};
use super::{GlobalConfiguration, Subcommand};
use anyhow::Result;
use clap::{Parser, ValueHint};
use prettytable::{Row, cell};
use std::path::PathBuf;
use std::process::ExitCode;

/// Shows the predictions for all bin for each order separately.
#[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 PDF(s)/FF(s).
    conv_funs: ConvFuns,
    /// Show absolute numbers of each perturbative order.
    #[arg(long, short)]
    absolute: bool,
    /// Show integrated numbers (without bin widths) instead of differential ones.
    #[arg(long, short)]
    integrated: bool,
    /// Normalize contributions to the specified orders.
    #[arg(
        conflicts_with = "absolute",
        long,
        num_args = 1,
        short,
        value_delimiter = ',',
        value_parser = helpers::parse_order
    )]
    normalize: Vec<(u8, u8)>,
    /// Set the number of fractional digits shown for absolute numbers.
    #[arg(default_value_t = 7, long, value_name = "ABS")]
    digits_abs: usize,
    /// Set the number of fractional digits shown for relative numbers.
    #[arg(default_value_t = 2, long, value_name = "REL")]
    digits_rel: usize,
}

impl Subcommand for Opts {
    fn run(&self, cfg: &GlobalConfiguration) -> Result<ExitCode> {
        let grid = helpers::read_grid(&self.input)?;
        let mut conv_funs = helpers::create_conv_funs(&self.conv_funs)?;

        let mut orders: Vec<_> = grid
            .orders()
            .iter()
            .filter(|order| (order.logxir == 0) && (order.logxif == 0))
            .collect();
        orders.sort();
        let orders = orders;

        let limits = helpers::convolve_limits(
            &grid,
            &[],
            if self.integrated {
                ConvoluteMode::Integrated
            } else {
                ConvoluteMode::Normal
            },
        );
        let results: Vec<Vec<f64>> = orders
            .iter()
            .map(|order| {
                helpers::convolve(
                    &grid,
                    &mut conv_funs,
                    &self.conv_funs.conv_types,
                    &[(order.alphas, order.alpha)],
                    &[],
                    &[],
                    1,
                    if self.integrated {
                        ConvoluteMode::Integrated
                    } else {
                        ConvoluteMode::Normal
                    },
                    cfg,
                )
            })
            .collect();

        let lo_power = {
            let order = orders.first().unwrap();
            order.alphas + order.alpha
        };

        let (x, y_label, y_unit) = helpers::labels_and_units(&grid, self.integrated);
        let mut title = Row::empty();
        title.add_cell(cell!(c->"b"));
        for (x_label, x_unit) in x {
            let mut cell = cell!(c->format!("{x_label}\n[{x_unit}]"));
            cell.set_hspan(2);
            title.add_cell(cell);
        }
        title.add_cell(cell!(c->format!("{y_label}\n[{y_unit}]")));

        for order in &orders {
            title.add_cell(cell!(c->format!("O(as^{} a^{})\n[{}]", order.alphas, order.alpha, if self.absolute { y_unit } else { "%" })));
        }

        let mut table = helpers::create_table();
        table.set_titles(title);

        for (bin, limits) in limits.iter().enumerate() {
            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!("{:.*e}", self.digits_abs,
            results.iter().fold(0.0, |value, results| value + results[bin]))));

            let mut normalization = 0.0;

            // calculate the sum of all leading orders
            for (index, order) in orders.iter().enumerate() {
                if (self.normalize.is_empty() && ((order.alphas + order.alpha) == lo_power))
                    || (self.normalize.contains(&(order.alphas, order.alpha)))
                {
                    normalization += results[index][bin];
                }
            }

            // print each order normalized to the sum of all leading orders
            for result in results.iter().map(|vec| vec[bin]) {
                if self.absolute {
                    row.add_cell(cell!(r->format!("{:.*e}", self.digits_abs, result)));
                } else {
                    row.add_cell(
                        cell!(r->format!("{:.*}", self.digits_rel, result / normalization * 100.0)),
                    );
                }
            }
        }

        table.printstd();

        Ok(ExitCode::SUCCESS)
    }
}