[][src]Crate val_unc

A package for handling quantities with uncertainties.

The ValUnc type represents a quantity with a mean value val and uncertainties unc. It is designed to be used with newtypes that wrap a basic numeric type, e.g. f64. This allows for the type to define how uncertainties should be propagated, with minimal confusion.

The traits module defines some traits that are necessary for uncertainty types to be implemented in order for the related type to be implemented for ValUnc. For example, in order to implement Add for ValUnc, all of the uncertainty types used must implement UncAdd. These are opt-in and only the traits used need to be implemented.

An example implementation of an uncertainty type is provided in unc. It uses standard error propagation rules (see this), and hopefully can be used if it fits your use case.


The serde feature can be enabled for use with serde. A ValUnc<V, U> is (de)serialized as a (V, U) or if unc is zero, according to num-traits::Zero, just a V.


The following demonstrates how one would go about creating uncertainty types and implementing the traits necessary for doing math with ValUnc (only Add, in this case). Notably, the implementations of UncAdd are different. The two uncertainties, though, can be used together in one ValUnc.

use val_unc::{ValUnc, UncAdd};

// This is a type for statistical uncertainties.
// The result of adding two `StatUnc`s is the square root of the sum of the squares.
#[derive(Debug, Clone, Copy, PartialEq, PartialOrd, Default)]
struct StatUnc(pub f64);

impl<T> UncAdd<T> for StatUnc {
    fn unc_add(self, _self_val: T, other: Self, _other_val: T) -> Self {
        Self(f64::sqrt(f64::powi(self.0, 2) + f64::powi(other.0, 2)))

// This is a type for systematic uncertainties.
// The result of adding two `SysUnc`s is the sum of the two.
#[derive(Debug, Clone, Copy, PartialEq, PartialOrd, Default)]
struct SysUnc(pub f64);

impl<T> UncAdd<T> for SysUnc {
    fn unc_add(self, _self_val: T, other: Self, _other_val: T) -> Self {
        Self(self.0 + other.0)

// Create two values and add them together
let v1 = ValUnc::new(10.2, (StatUnc(4.0), SysUnc(1.25)));
let v2 = ValUnc::new(8.5, (StatUnc(3.0), SysUnc(1.25)));
// You can use destructuring to unpack the results
let ValUnc { val, unc: (stat, sys) } = v1 + v2;

assert!(f64::abs(val - 18.7) <= std::f64::EPSILON);
assert!(f64::abs(stat.0 - 5.0) <= std::f64::EPSILON);
assert!(f64::abs(sys.0 - 2.5) <= std::f64::EPSILON);


pub use self::traits::*;
pub use self::unc::*;
pub use self::val_unc::*;