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//! Module containing the trait `Subgrid` and supporting structs.
use super::empty_subgrid::EmptySubgridV1;
use super::grid::Ntuple;
use super::import_only_subgrid::{ImportOnlySubgridV1, ImportOnlySubgridV2};
use super::lagrange_subgrid::{LagrangeSparseSubgridV1, LagrangeSubgridV1, LagrangeSubgridV2};
use super::ntuple_subgrid::NtupleSubgridV1;
use enum_dispatch::enum_dispatch;
use ndarray::Array3;
use serde::{Deserialize, Serialize};
use std::borrow::Cow;
/// Enum which lists all possible `Subgrid` variants possible.
#[enum_dispatch(Subgrid)]
#[derive(Clone, Deserialize, Serialize)]
pub enum SubgridEnum {
// WARNING: never change the order or content of this enum, only add to the end of it
/// Lagrange-interpolation subgrid.
LagrangeSubgridV1,
/// N-tuple subgrid.
NtupleSubgridV1,
/// Lagrange-interpolation subgrid.
LagrangeSparseSubgridV1,
/// Lagrange-interpolation subgrid with possibly different x1 and x2 bins.
LagrangeSubgridV2,
/// Import-only sparse subgrid with possibly different x1 and x2 bins.
ImportOnlySubgridV1,
/// Empty subgrid.
EmptySubgridV1,
/// Same as [`ImportOnlySubgridV1`], but with support for different renormalization and
/// factorization scales choices.
ImportOnlySubgridV2,
}
/// Structure denoting renormalization and factorization scale values.
#[derive(Debug, Deserialize, Clone, PartialEq, PartialOrd, Serialize)]
pub struct Mu2 {
/// The (squared) renormalization scale value.
pub ren: f64,
/// The (squared) factorization scale value.
pub fac: f64,
}
/// Size-related statistics for a subgrid.
#[derive(Debug, Eq, PartialEq)]
pub struct Stats {
/// Number of possible total entries for a subgrid. This number is the product of the lengths
/// of the slices returned by [`Subgrid::mu2_grid`], [`Subgrid::x1_grid`] and
/// [`Subgrid::x2_grid`].
pub total: usize,
/// Number of allocated entries for a subgrid. This number is always smaller or equal than
/// [`Self::total`].
pub allocated: usize,
/// Number of allocated zero entries for a subgrid. This number is always smaller or equal than
/// [`Self::allocated`] and contributes to [`Self::overhead`].
pub zeros: usize,
/// The overhead of a [`Subgrid`] is the size of internal data not used to store grid values.
pub overhead: usize,
/// This value multiplied with any other member of this struct gives an approximate size in
/// bytes.
pub bytes_per_value: usize,
}
/// Trait each subgrid must implement.
#[enum_dispatch]
pub trait Subgrid {
/// Return a slice of [`Mu2`] values corresponding to the (squared) renormalization and
/// factorization values of the grid. If the subgrid does not use a grid, this method should
/// return an empty slice.
fn mu2_grid(&self) -> Cow<[Mu2]>;
/// Return a slice of values of `x1`. If the subgrid does not use a grid, this method should
/// return an empty slice.
fn x1_grid(&self) -> Cow<[f64]>;
/// Return a slice of values of `x2`. If the subgrid does not use a grid, this method should
/// return an empty slice.
fn x2_grid(&self) -> Cow<[f64]>;
/// Convolute the subgrid with a luminosity function, which takes indices as arguments that
/// correspond to the entries given in the slices `x1`, `x2` and `mu2`.
fn convolute(
&self,
x1: &[f64],
x2: &[f64],
mu2: &[Mu2],
lumi: &mut dyn FnMut(usize, usize, usize) -> f64,
) -> f64;
/// Fills the subgrid with `weight` for the parton momentum fractions `x1` and `x2`, and the
/// scale `q2`. Filling is currently only support where both renormalization and factorization
/// scale have the same value.
fn fill(&mut self, ntuple: &Ntuple<f64>);
/// Returns true if `fill` was never called for this grid.
fn is_empty(&self) -> bool;
/// Merges `other` into this subgrid.
fn merge(&mut self, other: &mut SubgridEnum, transpose: bool);
/// Scale the subgrid by `factor`.
fn scale(&mut self, factor: f64);
/// Assumes that the initial states for this grid are the same and uses this to optimize the
/// grid by getting rid of almost half of the entries.
fn symmetrize(&mut self);
/// Returns an empty copy of the current subgrid.
fn clone_empty(&self) -> SubgridEnum;
/// Return an iterator over all non-zero elements of the subgrid.
fn indexed_iter(&self) -> SubgridIndexedIter;
/// Return statistics for this subgrid.
fn stats(&self) -> Stats;
/// Return the static (single) scale, if this subgrid has one.
fn static_scale(&self) -> Option<Mu2>;
}
// this is needed in the Python interface
impl From<&SubgridEnum> for Array3<f64> {
fn from(subgrid: &SubgridEnum) -> Self {
let mut result = Self::zeros((
subgrid.mu2_grid().len(),
subgrid.x1_grid().len(),
subgrid.x2_grid().len(),
));
for ((imu2, ix1, ix2), value) in subgrid.indexed_iter() {
result[[imu2, ix1, ix2]] = value;
}
result
}
}
/// Type to iterate over the non-zero contents of a subgrid. The tuple contains the indices of the
/// `mu2_grid`, the `x1_grid` and finally the `x2_grid`.
pub type SubgridIndexedIter<'a> = Box<dyn Iterator<Item = ((usize, usize, usize), f64)> + 'a>;
/// Subgrid creation parameters for subgrids that perform interpolation.
#[derive(Clone, Debug, Deserialize, Serialize)]
pub struct SubgridParams {
q2_bins: usize,
q2_max: f64,
q2_min: f64,
q2_order: usize,
reweight: bool,
x_bins: usize,
x_max: f64,
x_min: f64,
x_order: usize,
}
impl Default for SubgridParams {
fn default() -> Self {
Self {
q2_bins: 40,
q2_max: 1e8,
q2_min: 1e2,
q2_order: 3,
reweight: true,
x_bins: 50,
x_max: 1.0,
x_min: 2e-7,
x_order: 3,
}
}
}
impl SubgridParams {
/// Returns the number of bins for the $Q^2$ axis.
#[must_use]
pub const fn q2_bins(&self) -> usize {
self.q2_bins
}
/// Returns the upper limit of the $Q^2$ axis.
#[must_use]
pub const fn q2_max(&self) -> f64 {
self.q2_max
}
/// Returns the lower limit of the $Q^2$ axis.
#[must_use]
pub const fn q2_min(&self) -> f64 {
self.q2_min
}
/// Returns the interpolation order for the $Q^2$ axis.
#[must_use]
pub const fn q2_order(&self) -> usize {
self.q2_order
}
/// Returns whether reweighting is enabled or not.
#[must_use]
pub const fn reweight(&self) -> bool {
self.reweight
}
/// Sets the number of bins for the $Q^2$ axis.
pub fn set_q2_bins(&mut self, q2_bins: usize) {
self.q2_bins = q2_bins;
}
/// Sets the upper limit of the $Q^2$ axis.
pub fn set_q2_max(&mut self, q2_max: f64) {
self.q2_max = q2_max;
}
/// Sets the lower limit of the $Q^2$ axis.
pub fn set_q2_min(&mut self, q2_min: f64) {
self.q2_min = q2_min;
}
/// Sets the interpolation order for the $Q^2$ axis.
pub fn set_q2_order(&mut self, q2_order: usize) {
self.q2_order = q2_order;
}
/// Sets the reweighting parameter.
pub fn set_reweight(&mut self, reweight: bool) {
self.reweight = reweight;
}
/// Sets the number of bins for the $x$ axes.
pub fn set_x_bins(&mut self, x_bins: usize) {
self.x_bins = x_bins;
}
/// Sets the upper limit of the $x$ axes.
pub fn set_x_max(&mut self, x_max: f64) {
self.x_max = x_max;
}
/// Sets the lower limit of the $x$ axes.
pub fn set_x_min(&mut self, x_min: f64) {
self.x_min = x_min;
}
/// Sets the interpolation order for the $x$ axes.
pub fn set_x_order(&mut self, x_order: usize) {
self.x_order = x_order;
}
/// Returns the number of bins for the $x$ axes.
#[must_use]
pub const fn x_bins(&self) -> usize {
self.x_bins
}
/// Returns the upper limit of the $x$ axes.
#[must_use]
pub const fn x_max(&self) -> f64 {
self.x_max
}
/// Returns the lower limit of the $x$ axes.
#[must_use]
pub const fn x_min(&self) -> f64 {
self.x_min
}
/// Returns the interpolation order for the $x$ axes.
#[must_use]
pub const fn x_order(&self) -> usize {
self.x_order
}
}
/// Extra grid creation parameters when the limits for `x1` and `x2` are different.
#[derive(Deserialize, Serialize)]
pub struct ExtraSubgridParams {
reweight2: bool,
x2_bins: usize,
x2_max: f64,
x2_min: f64,
x2_order: usize,
}
impl Default for ExtraSubgridParams {
fn default() -> Self {
Self {
reweight2: true,
x2_bins: 50,
x2_max: 1.0,
x2_min: 2e-7,
x2_order: 3,
}
}
}
impl From<&SubgridParams> for ExtraSubgridParams {
fn from(subgrid_params: &SubgridParams) -> Self {
Self {
reweight2: subgrid_params.reweight(),
x2_bins: subgrid_params.x_bins(),
x2_max: subgrid_params.x_max(),
x2_min: subgrid_params.x_min(),
x2_order: subgrid_params.x_order(),
}
}
}
impl ExtraSubgridParams {
/// Returns whether reweighting is enabled for the `x2` axis or not.
#[must_use]
pub const fn reweight2(&self) -> bool {
self.reweight2
}
/// Sets the reweighting parameter for the `x2` axis.
pub fn set_reweight2(&mut self, reweight2: bool) {
self.reweight2 = reweight2;
}
/// Sets the number of bins for the `x2` axes.
pub fn set_x2_bins(&mut self, x_bins: usize) {
self.x2_bins = x_bins;
}
/// Sets the upper limit of the `x2` axes.
pub fn set_x2_max(&mut self, x_max: f64) {
self.x2_max = x_max;
}
/// Sets the lower limit of the `x2` axes.
pub fn set_x2_min(&mut self, x_min: f64) {
self.x2_min = x_min;
}
/// Sets the interpolation order for the `x2` axes.
pub fn set_x2_order(&mut self, x_order: usize) {
self.x2_order = x_order;
}
/// Returns the number of bins for the `x2` axes.
#[must_use]
pub const fn x2_bins(&self) -> usize {
self.x2_bins
}
/// Returns the upper limit of the `x2` axes.
#[must_use]
pub const fn x2_max(&self) -> f64 {
self.x2_max
}
/// Returns the lower limit of the `x2` axes.
#[must_use]
pub const fn x2_min(&self) -> f64 {
self.x2_min
}
/// Returns the interpolation order for the `x2` axes.
#[must_use]
pub const fn x2_order(&self) -> usize {
self.x2_order
}
}