5 Commits
Author SHA1 Message Date
swaits 2e97c879e1 bump crate to 0.5.3
Signed-off-by: Stephen Waits <steve@waits.net>
2023-02-09 11:18:04 -07:00
swaits 64543a8729 doc: updates to NetworkCoordinate
Signed-off-by: Stephen Waits <steve@waits.net>
2023-02-09 11:17:27 -07:00
swaits 8d1eadb017 enable cargo fmt check in autobuild
Signed-off-by: Stephen Waits <steve@waits.net>
2023-02-09 11:02:03 -07:00
swaits cdab359b4e enable and fix stricter clippy linting
- add clippy to .build.yml to run on sr.ht
- add missing docs
- use core:: instead of std:: where possible
- use hypot() and mul_add() for better numeric stability
- make all float tests use asser_approx_eq() and explicitly check for NaN/Inf
- add missing semicolons here and there
- add #[must_use] to ensure caller uses returned value
- add const fn where appropriate
- change visibility from pub(crate) to pub (in private modules)

Signed-off-by: Stephen Waits <steve@waits.net>
2023-02-09 10:54:42 -07:00
swaits c3b3ff1e4d feat: f32/f64 cargo features added
Signed-off-by: Stephen Waits <steve@waits.net>
2023-02-08 17:01:19 -07:00
8 changed files with 234 additions and 124 deletions

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+5 -2
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@@ -11,13 +11,16 @@ tasks:
- stable: |
rustup default stable
cd vivaldi-nc/
cargo fmt --verbose --check
cargo clippy --verbose
cargo build --verbose
cargo test --verbose
- nightly: |
rustup default nightly
cd vivaldi-nc/
cargo build --verbose ||:
cargo test --verbose ||:
cargo clippy --verbose ||:
cargo build --verbose ||:
cargo test --verbose ||:
- docs: |
cd vivaldi-nc/
rustup run stable cargo doc --no-deps
+6 -1
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@@ -1,6 +1,6 @@
[package]
name = "vivaldi-nc"
version = "0.5.1"
version = "0.5.3"
edition = "2021"
authors = ["Stephen Waits <steve@waits.net>"]
description = "Vivaldi network coordinates for fast, distributed latency estimates in multinode networks, with a clean and simple interface."
@@ -15,6 +15,11 @@ exclude = [
"examples/*",
]
[features]
default = ["f32"]
f32 = []
f64 = []
[dev-dependencies]
assert_approx_eq = "1.1.0"
proptest = "1.0.0"
+9
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@@ -110,6 +110,15 @@ and compact binary formats like [bincode](https://crates.io/crates/bincode) and
See the [module documentation](https://docs.rs/vivaldi-nc) for more detailed
usage examples.
### Cargo Features
By default, the internal data structures and operations all use `f32`. If you want to use `f64`, you can enable it as a cargo feature:
```toml
[dependencies]
vivaldi-nc = { version = "0.5.2", features = ["f64"] }
```
### Examples
The repository includes an example which loads a n-to-n latency sample from
+1
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@@ -8,3 +8,4 @@ cc 4a5cb6ca844d5306203ae00a99375c83a20ddf4ca427f0ae0b541697efa3d9b7 # shrinks to
cc 38ed1e2c313317809f5469d856d2c1c61e4851c64a156cd1bdd0757fa7c77128 # shrinks to x = 0.0, y = -0.0, h = 0.0, m = -0.0
cc b7d1b5e9fe3e33066b583c4532865373179972e9b5786ecc62438f23bc939e87 # shrinks to x = -0.0, y = 0.0, h = -3.448118e-33, m = -0.0
cc 3c4fc4f21c82ffe5bcbc740ca9ab598e0894226acb86a3046a3a24cbbcdbf8e6 # shrinks to x = 0.0, y = 0.0, h = -0.0
cc d1a551d7eb92bf69e3d0cd0b677baac5aaa5a95d6a016fccf67cf57af71c8b0c # shrinks to x = -5.098216e26, y = 0.0, h = 0.0
+69 -50
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@@ -42,12 +42,24 @@
//! > Each node has a positive height element in its coordinates, so that
//! > its height can always be scaled up or down.
use std::ops::{Add, Mul, Sub};
use core::ops::{Add, Mul, Sub};
use nanorand::{Rng, WyRand};
use serde::{Deserialize, Serialize};
use crate::vector::Vector;
use crate::vector::{self, Vector};
//
// **** Features ****
//
/// `FloatType` is a type alias for either `f32` or `f64` depending on cargo features
#[cfg(feature = "f32")]
type FloatType = f32;
/// `FloatType` is a type alias for either `f32` or `f64` depending on cargo features
#[cfg(feature = "f64")]
type FloatType = f64;
//
// **** Constants ****
@@ -63,10 +75,16 @@ use crate::vector::Vector;
///
/// - `N`: the dimensionality of the vector portion (i.e. non-height) of the Vivaldi height vector
#[derive(Copy, Clone, Debug, Serialize, Deserialize)]
pub(crate) struct HeightVector<const N: usize> {
pub struct HeightVector<const N: usize> {
/// `position` is the Euclidean coordinate part of the `HeightVector`, representing a position
/// in the network's latency space
#[serde(flatten)]
position: Vector<f32, N>,
height: f32,
position: Vector<FloatType, N>,
/// `height` is a representation of a node's stemp time, or its latency to get into the network
/// core (or backbone). It's a way to account for triangle inequality violations.
/// in the network's latency space
height: FloatType,
}
//
@@ -84,11 +102,11 @@ impl<const N: usize> HeightVector<N> {
let mut rng = WyRand::new();
let mut vec = [0.0; N];
for i in vec.iter_mut().take(N) {
*i = rng.generate::<f32>();
*i = rng.generate::<FloatType>();
}
let height = rng.generate::<f32>().abs();
let height = rng.generate::<FloatType>().abs();
Self {
position: Vector::<f32, N>::from(vec),
position: Vector::<FloatType, N>::from(vec),
height,
}
.normalized()
@@ -96,7 +114,7 @@ impl<const N: usize> HeightVector<N> {
/// The magnitude of a Vivaldi height vector is defined as the magnitude of the vector plus the
/// height value.
pub(crate) fn len(&self) -> f32 {
pub(crate) fn len(&self) -> FloatType {
self.position.len() + self.height
}
@@ -104,7 +122,7 @@ impl<const N: usize> HeightVector<N> {
/// by the inveerse of its length.
pub(crate) fn normalized(&self) -> Self {
let len = self.len();
if len < f32::EPSILON {
if len < FloatType::EPSILON {
// if we have a bad vector, generate a new random vector
Self::new()
} else {
@@ -144,17 +162,17 @@ impl<const N: usize> Default for HeightVector<N> {
/// Default value for a Vivaldi height vector is just the defaults of its children types.
fn default() -> Self {
Self {
position: Default::default(),
position: vector::Vector::default(),
height: Default::default(),
}
}
}
impl<const N: usize> From<([f32; N], f32)> for HeightVector<N> {
/// Convert from a `([f32; N], f32)` (vector, height) to a Vivaldi height vector type.
fn from(value: ([f32; N], f32)) -> Self {
impl<const N: usize> From<([FloatType; N], FloatType)> for HeightVector<N> {
/// Convert from a `([FloatType; N], FloatType)` (vector, height) to a Vivaldi height vector type.
fn from(value: ([FloatType; N], FloatType)) -> Self {
let ret = Self {
position: Vector::<f32, N>::from(value.0),
position: Vector::<FloatType, N>::from(value.0),
height: value.1,
};
if ret.is_valid() {
@@ -200,11 +218,11 @@ impl<const N: usize> Sub for HeightVector<N> {
}
}
impl<const N: usize> Mul<f32> for HeightVector<N> {
impl<const N: usize> Mul<FloatType> for HeightVector<N> {
type Output = Self;
/// Multiply a Vivaldi height vector by a scalar. Works the same as normal vector scaling.
fn mul(self, rhs: f32) -> Self::Output {
fn mul(self, rhs: FloatType) -> Self::Output {
let ret = Self {
position: self.position * rhs,
height: self.height * rhs,
@@ -228,59 +246,60 @@ mod tests {
proptest! {
#[test]
fn proptest_len(x: f32, y: f32, h: f32) {
let len = ((x*x) + (y*y)).sqrt() + h.abs();
fn proptest_len(x: FloatType, y: FloatType, h: FloatType) {
let len = x.hypot(y) + h.abs();
let a = HeightVector::<2>::from(([x,y],h));
println!("a = {a:#?}");
if x.is_nan() || x.is_infinite() || y.is_nan() || y.is_infinite() || h.is_nan() || h.is_infinite() || h < 0.0 {
// we should've gottne a random univ vector here
assert_approx_eq!(a.len(), 1.0);
} else {
// `HeightVector` we created from proptest values should be valid and have a length
assert_eq!(a.len(), len);
assert_approx_eq!(a.len(), len);
}
}
#[test]
fn proptest_add(x0 in -1_000_000_000..1_000_000_000i32, y0 in -1_000_000_000..1_000_000_000i32, h0 in 0..1_000_000_000i32, x1 in -1_000_000_000..1_000_000_000i32, y1 in -1_000_000_000..1_000_000_000i32, h1 in 0..1_000_000i32) {
// convert our integer range inputs to f32s
let (fx0,fy0,fh0) = (x0 as f32 / 1_000.0, y0 as f32 / 1_000.0, h0 as f32 / 1_000.0);
let (fx1,fy1,fh1) = (x1 as f32 / 1_000.0, y1 as f32 / 1_000.0, h1 as f32 / 1_000.0);
// convert our integer range inputs to FloatType
let (fx0,fy0,fh0) = (x0 as FloatType / 1_000.0, y0 as FloatType / 1_000.0, h0 as FloatType / 1_000.0);
let (fx1,fy1,fh1) = (x1 as FloatType / 1_000.0, y1 as FloatType / 1_000.0, h1 as FloatType / 1_000.0);
let a = HeightVector::<2>::from(([fx0 ,fy0 ],fh0 ));
let b = HeightVector::<2>::from(([fx1 ,fy1 ],fh1 ));
let c = a+b;
assert_eq!(c.position[0], fx0 + fx1);
assert_eq!(c.position[1], fy0 + fy1);
assert_eq!(c.height, fh0 + fh1);
assert_approx_eq!(c.position[0], fx0 + fx1);
assert_approx_eq!(c.position[1], fy0 + fy1);
assert_approx_eq!(c.height, fh0 + fh1);
}
#[test]
fn proptest_sub(x0 in -1_000_000_000..1_000_000_000i32, y0 in -1_000_000_000..1_000_000_000i32, h0 in 0..1_000_000_000i32, x1 in -1_000_000_000..1_000_000_000i32, y1 in -1_000_000_000..1_000_000_000i32, h1 in 0..1_000_000i32) {
// convert our integer range inputs to f32s
let (fx0,fy0,fh0) = (x0 as f32 / 1_000.0, y0 as f32 / 1_000.0, h0 as f32 / 1_000.0);
let (fx1,fy1,fh1) = (x1 as f32 / 1_000.0, y1 as f32 / 1_000.0, h1 as f32 / 1_000.0);
// convert our integer range inputs to FloatType
let (fx0,fy0,fh0) = (x0 as FloatType / 1_000.0, y0 as FloatType / 1_000.0, h0 as FloatType / 1_000.0);
let (fx1,fy1,fh1) = (x1 as FloatType / 1_000.0, y1 as FloatType / 1_000.0, h1 as FloatType / 1_000.0);
let a = HeightVector::<2>::from(([fx0 ,fy0 ],fh0 ));
let b = HeightVector::<2>::from(([fx1 ,fy1 ],fh1 ));
let c = a-b;
assert_eq!(c.position[0], fx0 - fx1);
assert_eq!(c.position[1], fy0 - fy1);
assert_eq!(c.height, fh0 + fh1);
assert_approx_eq!(c.position[0], fx0 - fx1);
assert_approx_eq!(c.position[1], fy0 - fy1);
assert_approx_eq!(c.height, fh0 + fh1);
}
#[test]
fn proptest_mul(x in -1_000_000_000..1_000_000_000i32, y in -1_000_000_000..1_000_000_000i32, h in 0..1_000_000_000i32, m in -1_000_000_000..1_000_000_000i32) {
// convert our integer range inputs to f32s
let (fx,fy,fh,fm) = (x as f32 / 1_000.0, y as f32 / 1_000.0, h as f32 / 1_000.0, m as f32 / 1_000.0);
// convert our integer range inputs to FloatType
let (fx,fy,fh,fm) = (x as FloatType / 1_000.0, y as FloatType / 1_000.0, h as FloatType / 1_000.0, m as FloatType / 1_000.0);
let a = HeightVector::<2>::from(([fx, fy], fh));
let b = a * fm;
if fm < 0.0 {
assert_approx_eq!(b.len(), 1.0)
assert_approx_eq!(b.len(), 1.0);
} else {
assert_eq!(b.position[0], fx * fm);
assert_eq!(b.position[1], fy * fm);
assert_eq!(b.height, fh * fm);
assert_approx_eq!(b.position[0], fx * fm);
assert_approx_eq!(b.position[1], fy * fm);
assert_approx_eq!(b.height, fh * fm);
}
}
}
@@ -308,9 +327,9 @@ mod tests {
#[test]
fn test_from() {
let a = HeightVector::<2>::from(([1.0, 2.0], 3.0));
assert_eq!(a.position[0], 1.0);
assert_eq!(a.position[1], 2.0);
assert_eq!(a.height, 3.0);
assert_approx_eq!(a.position[0], 1.0);
assert_approx_eq!(a.position[1], 2.0);
assert_approx_eq!(a.height, 3.0);
}
#[test]
@@ -318,9 +337,9 @@ mod tests {
let a = HeightVector::<2>::from(([1.0, 2.0], 3.0));
let b = HeightVector::<2>::from(([3.0, 2.0], 1.0));
let c = a + b;
assert_eq!(c.position[0], 4.0);
assert_eq!(c.position[1], 4.0);
assert_eq!(c.height, 4.0);
assert_approx_eq!(c.position[0], 4.0);
assert_approx_eq!(c.position[1], 4.0);
assert_approx_eq!(c.height, 4.0);
}
#[test]
@@ -328,17 +347,17 @@ mod tests {
let a = HeightVector::<2>::from(([1.0, 2.0], 3.0));
let b = HeightVector::<2>::from(([3.0, 2.0], 1.0));
let c = a - b;
assert_eq!(c.position[0], -2.0);
assert_eq!(c.position[1], 0.0);
assert_eq!(c.height, 4.0);
assert_approx_eq!(c.position[0], -2.0);
assert_approx_eq!(c.position[1], 0.0);
assert_approx_eq!(c.height, 4.0);
}
#[test]
fn test_mul_scalar() {
let a = HeightVector::<2>::from(([1.0, 2.0], 3.0)) * 10.0;
assert_eq!(a.position[0], 10.0);
assert_eq!(a.position[1], 20.0);
assert_eq!(a.height, 30.0);
assert_approx_eq!(a.position[0], 10.0);
assert_approx_eq!(a.position[1], 20.0);
assert_approx_eq!(a.height, 30.0);
}
#[test]
+16
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@@ -93,9 +93,25 @@
//! ```
//!
#![deny(clippy::all)]
#![deny(clippy::correctness)]
#![deny(clippy::style)]
#![deny(clippy::suspicious)]
#![deny(clippy::complexity)]
#![deny(clippy::perf)]
#![deny(clippy::cargo)]
#![deny(clippy::pedantic)]
#![deny(clippy::nursery)]
#![allow(clippy::type_repetition_in_bounds)]
#![allow(clippy::module_name_repetitions)]
mod height_vector;
mod vector;
// make sure we don't have conflicting features
#[cfg(all(feature = "f32", feature = "f64"))]
compile_error!("feature \"f32\" and feature \"f64\" cannot be enabled at the same time");
// publish our interface
pub mod network_coordinate;
pub use network_coordinate::NetworkCoordinate;
+91 -47
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@@ -1,29 +1,6 @@
//! A Vivaldi [`NetworkCoordinate`]
//!
//! This is an implementation of Vivaldi NCs per the original paper. It implements the following
//! alogirthm (quoting from paper):
//!
//! ```text
//! // Incorporate new information: node j has been
//! // measured to be rtt ms away, has coordinates x j,
//! // and an error estimate of e j .
//! //
//! // Our own coordinates and error estimate are xi and ei.
//! //
//! // The constants ce and cc are tuning parameters.
//!
//! vivaldi(rtt, xj, ej)
//! // Sample weight balances local and remote error. (1)
//! w = ei /(ei + ej)
//! // Compute relative error of this sample. (2)
//! es = ∣∣∣‖xi − xj‖ − rtt∣∣∣/rtt
//! // Update weighted moving average of local error. (3)
//! ei = es × ce × w + ei × (1 − ce × w)
//! // Update local coordinates. (4)
//! δ = cc × w
//! xi = xi + δ × (rtt − ‖xi − xj ‖) × u(xi − xj)
//! ```
//! Main interface module for Vivaldi network coordinates.
//!
//! For usage explanation and examples, please see the main [`crate`] documentation.
use std::time::Duration;
@@ -31,29 +8,53 @@ use serde::{Deserialize, Serialize};
use crate::height_vector::HeightVector;
//
// **** Features ****
//
#[cfg(feature = "f32")]
type FloatType = f32;
#[cfg(feature = "f64")]
type FloatType = f64;
//
// **** Constants ****
//
// Vivaldi tuning parameters
const C_ERROR: f32 = 0.25;
const C_DELTA: f32 = 0.25;
const C_ERROR: FloatType = 0.25;
const C_DELTA: FloatType = 0.25;
// initial error value
const DEFAULT_ERROR: f32 = 200.0;
const DEFAULT_ERROR: FloatType = 200.0;
// error should always be greater than zero
const MIN_ERROR: f32 = f32::EPSILON;
const MIN_ERROR: FloatType = FloatType::EPSILON;
//
// **** Structs ****
//
/// A `NetworkCoordinate<N>` is the main interface to a Vivaldi network coordinate.
///
/// # Generic Parameters
///
/// - `N`: Const generic for number of dimensions. For example, `NetworkCoordinate<3>` is a
/// 3-Dimentionsal Euclidean coordinate plus a height. Should be a positive number greater than
/// zero.
///
/// **Note:** Dimensions other than 2D or 3D are usually not useful. If you want to use one of
/// those dimensions, you can use type aliases ([`NetworkCoordinate2D`] or [`NetworkCoordinate3D`])
/// which are a little more ergonomic than using the generic here.
///
/// # Examples
///
/// For an explanation and examples of usage, please see the main [`crate`] documentation.
#[derive(Clone, Debug, Serialize, Deserialize)]
pub struct NetworkCoordinate<const N: usize> {
#[serde(flatten)]
heightvec: HeightVector<N>,
error: f32,
error: FloatType,
}
// type aliases for convenience
@@ -61,13 +62,13 @@ pub struct NetworkCoordinate<const N: usize> {
/// A 2D [`NetworkCoordinate`]. Includes a 2D Euclidean position and a height.
///
/// This type alias is just for convenience. It's functionally equivalent to
/// `NetworkCoordinate<2>`.
/// `NetworkCoordinate<2>`. For more information, see [`NetworkCoordinate`].
pub type NetworkCoordinate2D = NetworkCoordinate<2>;
/// A 3D [`NetworkCoordinate`]. Includes a 3D Euclidean position and a height.
///
/// This type alias is just for convenience. It's functionally equivalent to
/// `NetworkCoordinate<3>`.
/// `NetworkCoordinate<3>`. For more information, see [`NetworkCoordinate`].
pub type NetworkCoordinate3D = NetworkCoordinate<3>;
//
@@ -88,6 +89,7 @@ impl<const N: usize> NetworkCoordinate<N> {
/// // print the NC
/// println!("Our new NC is: {:#?}", a);
/// ```
#[must_use]
pub fn new() -> Self {
Self::default()
}
@@ -119,9 +121,14 @@ impl<const N: usize> NetworkCoordinate<N> {
/// println!("Estimated RTT: {}", a.estimated_rtt(&b).as_millis());
/// ```
///
#[must_use]
pub fn estimated_rtt(&self, rhs: &Self) -> Duration {
// estimated rss is euclidean distance between the two plus the sum of the heights
Duration::from_secs_f32((self.heightvec - rhs.heightvec).len() / 1000.0)
#[cfg(feature = "f32")]
return Duration::from_secs_f32((self.heightvec - rhs.heightvec).len() / 1000.0);
#[cfg(feature = "f64")]
return Duration::from_secs_f64((self.heightvec - rhs.heightvec).len() / 1000.0);
}
/// Given another Vivaldi [`NetworkCoordinate`], adjust our coordinateto better represent the actual round
@@ -154,16 +161,50 @@ impl<const N: usize> NetworkCoordinate<N> {
/// // Now we can update our NC to adjust our position relative to the remote node:
/// local.update(&remote, rtt);
/// ```
///
/// # Algorithm
///
/// This is an implementation of Vivaldi NCs per the original paper. It implements the following
/// alogirthm (quoting from paper):
///
/// ```text
/// // Incorporate new information: node j has been
/// // measured to be rtt ms away, has coordinates xj,
/// // and an error estimate of ej .
/// //
/// // Our own coordinates and error estimate are xi and ei.
/// //
/// // The constants ce and cc are tuning parameters.
///
/// vivaldi(rtt, xj, ej)
/// // Sample weight balances local and remote error. (1)
/// w = ei /(ei + ej)
/// // Compute relative error of this sample. (2)
/// es = ∣∣∣‖xi − xj‖ − rtt∣∣∣/rtt
/// // Update weighted moving average of local error. (3)
/// ei = es × ce × w + ei × (1 − ce × w)
/// // Update local coordinates. (4)
/// δ = cc × w
/// xi = xi + δ × (rtt − ‖xi − xj ‖) × u(xi − xj)
/// ```
///
pub fn update(&mut self, rhs: &Self, rtt: Duration) -> &Self {
// convert Durations into FloatType as fractional milliseconds for convenience
#[cfg(feature = "f32")]
let rtt_ms = rtt.as_secs_f32() * 1000.0;
#[cfg(feature = "f32")]
let rtt_estimated_ms = self.estimated_rtt(rhs).as_secs_f32() * 1000.0;
#[cfg(feature = "f64")]
let rtt_ms = rtt.as_secs_f64() * 1000.0;
#[cfg(feature = "f64")]
let rtt_estimated_ms = self.estimated_rtt(rhs).as_secs_f64() * 1000.0;
// rtt needs to be positive
if rtt.as_secs_f32() < 0.0 {
if rtt_ms < 0.0 {
return self;
}
// convert Durations into f32s as fractional milliseconds for convenience
let rtt_ms = rtt.as_secs_f32() * 1000.0;
let rtt_estimated_ms = self.estimated_rtt(rhs).as_secs_f32() * 1000.0;
// Sample weight balances local and remote error. (1)
// w = ei /(ei + ej )
let w = self.error / (self.error + rhs.error);
@@ -175,7 +216,11 @@ impl<const N: usize> NetworkCoordinate<N> {
// Update weighted moving average of local error. (3)
// ei = es × ce × w + ei × (1 − ce × w)
self.error = (es * C_ERROR * w + self.error * (1.0 - C_ERROR * w)).max(MIN_ERROR);
// self.error = (es * C_ERROR * w + self.error * (1.0 - C_ERROR * w)).max(MIN_ERROR);
// NOTE: using `mul_add()` which is a little safer (avoid overflows)
self.error = (es * C_ERROR)
.mul_add(w, self.error * C_ERROR.mul_add(-w, 1.0))
.max(MIN_ERROR);
// Update local coordinates. (4)
// δ = cc × w
@@ -187,7 +232,7 @@ impl<const N: usize> NetworkCoordinate<N> {
// if we ended up with an invalid coordinate, return a new random coordinate with default
// error
if self.heightvec.is_invalid() {
*self = Self::new()
*self = Self::new();
}
// return reference to updated self
@@ -196,7 +241,8 @@ impl<const N: usize> NetworkCoordinate<N> {
/// getter for error value - useful for consumers to understand the estimated accuracty of this
/// `NetworkCoordinate`
pub fn error(&self) -> f32 {
#[must_use]
pub const fn error(&self) -> FloatType {
self.error
}
}
@@ -206,7 +252,7 @@ impl<const N: usize> NetworkCoordinate<N> {
//
impl<const N: usize> Default for NetworkCoordinate<N> {
/// A default `NetworkCoordinate` has a random position and DEFAULT_ERROR
/// A default `NetworkCoordinate` has a random position and `DEFAULT_ERROR`
fn default() -> Self {
Self {
heightvec: HeightVector::<N>::random(),
@@ -273,10 +319,8 @@ mod tests {
let mut mad = NetworkCoordinate::<2>::new();
// verify the initial error
let error =
(slc.error.powf(2.0) + nyc.error.powf(2.0) + lax.error.powf(2.0) + mad.error.powf(2.0))
.sqrt();
assert_eq!(error, 400.0);
let error = slc.error.hypot(nyc.error.hypot(lax.error.hypot(mad.error)));
assert_approx_eq!(error, 400.0);
// iterate plenty of times to converge and minimize error
(0..20).for_each(|_| {
@@ -313,7 +357,7 @@ mod tests {
// make sure it's the right length and works like we expect a normal NC
assert_approx_eq!(a.heightvec.len(), 2.649_509, 0.001);
assert_eq!(a.error, 1.0);
assert_approx_eq!(a.error, 1.0);
assert_eq!(a.estimated_rtt(&a).as_millis(), 0);
// serialize it into a new JSON string and make sure it matches the original
+37 -24
View File
@@ -20,7 +20,7 @@ use std::ops::{Add, Div, Index, Mul, Sub};
/// - `N`: the number of dimensions (i.e. 2 for 2D vectors, 3 for 3D, etc)
#[serde_as]
#[derive(Copy, Clone, Debug, PartialEq, Eq, Serialize, Deserialize)]
pub(crate) struct Vector<T, const N: usize>
pub struct Vector<T, const N: usize>
where
T: Float + Serialize + for<'d> Deserialize<'d>,
{
@@ -44,10 +44,8 @@ where
/// Compute magnitude of vector.
pub(crate) fn len(&self) -> T {
(0..N)
.map(|i| self.inner[i] * self.inner[i])
.fold(T::zero(), |sum_sq, x| sum_sq + x)
.sqrt()
// use hypot() instead of sqrt() of sum of squares to avoid overflows
self.inner.iter().fold(T::zero(), |acc, x| acc.hypot(*x))
}
/// Checks whether the `Vector` is invalid.
@@ -175,9 +173,9 @@ mod tests {
#[test]
fn proptest_new(x: f32, y: f32, z: f32){
let v = Vector::<f32, 3>::from([x,y,z]);
assert_eq!(v[0], x);
assert_eq!(v[1], y);
assert_eq!(v[2], z);
assert_approx_eq!(v[0], x);
assert_approx_eq!(v[1], y);
assert_approx_eq!(v[2], z);
assert!(v[0].is_finite());
assert!(v[1].is_finite());
assert!(v[1].is_finite());
@@ -187,9 +185,25 @@ mod tests {
fn proptest_mul(x: f32, y: f32, z: f32, m: f32) {
let v = Vector::<f32, 3>::from([x,y,z]);
let w = v * m;
assert_eq!(v[0] * m, w[0]);
assert_eq!(v[1] * m, w[1]);
assert_eq!(v[2] * m, w[2]);
let (x,y,z) = (v[0]*m, v[1]*m, v[2]*m);
if x.is_nan() || x.is_infinite() {
assert!(w[0].is_nan() || w[0].is_infinite());
} else {
assert_approx_eq!(w[0], x);
}
if y.is_nan() || y.is_infinite() {
assert!(w[1].is_nan() || w[1].is_infinite());
} else {
assert_approx_eq!(w[1], y);
}
if z.is_nan() || z.is_infinite() {
assert!(w[2].is_nan() || w[2].is_infinite());
} else {
assert_approx_eq!(w[2], z);
}
}
#[test]
@@ -198,23 +212,22 @@ mod tests {
let w = v / d;
let (x,y,z) = (v[0]/d, v[1]/d, v[2]/d);
if x.is_nan() {
assert!(w[0].is_nan());
if x.is_nan() || x.is_infinite() {
assert!(w[0].is_nan() ||w[0].is_infinite());
} else {
assert_eq!(v[0] / d, x);
assert_approx_eq!(w[0], x);
}
if y.is_nan() {
assert!(w[1].is_nan());
if y.is_nan() || y.is_infinite() {
assert!(w[1].is_nan() || w[1].is_infinite());
} else {
assert_eq!(v[1] / d, y);
assert_approx_eq!(w[1], y);
}
if z.is_nan() {
assert!(w[2].is_nan());
if z.is_nan() || z.is_infinite() {
assert!(w[2].is_nan() || w[2].is_infinite());
} else {
assert_eq!(v[2] / d, z);
assert_approx_eq!(w[2], z);
}
}
}
@@ -263,9 +276,9 @@ mod tests {
#[test]
fn test_index() {
let a = Vector::<f32, 3>::from([1.0, 2.0, 3.0]);
assert_eq!(a[0], 1.0);
assert_eq!(a[1], 2.0);
assert_eq!(a[2], 3.0);
assert_approx_eq!(a[0], 1.0);
assert_approx_eq!(a[1], 2.0);
assert_approx_eq!(a[2], 3.0);
}
#[test]
fn test_length() {