Turn non-automated tests into Cargo examples (#24)

Some of the Cargo tests on the main branch are designed to print output for human inspection, not to verify computations automatically. The incoming branch turns these tests into Cargo examples. It also makes two organizational changes in pursuit of this goal:

- It introduces a dyna3 library target, which the examples use as a dependency. In the future, this target could grow into an officially maintained dyna3 library.
- It puts the code for realizing the Irisawa hexlet into a new conditionally compiled `engine::irisawa` module. This code is shared by a test and an example. Compilation is controlled by the `dev` feature, which is turned on by default in development mode.

I've verified that printed output of the examples hasn't changed between the head (848f7d6) and base (e917272) of the incoming branch.

Co-authored-by: Aaron Fenyes <aaron.fenyes@fareycircles.ooo>
Co-authored-by: Glen Whitney <glen@studioinfinity.org>
Reviewed-on: glen/dyna3#24
Co-authored-by: Vectornaut <vectornaut@nobody@nowhere.net>
Co-committed-by: Vectornaut <vectornaut@nobody@nowhere.net>
This commit is contained in:
Vectornaut 2024-11-26 00:32:50 +00:00 committed by Glen Whitney
parent e917272c60
commit a8e13b8110
8 changed files with 241 additions and 175 deletions

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@ -6,6 +6,7 @@ edition = "2021"
[features]
default = ["console_error_panic_hook"]
dev = []
[dependencies]
itertools = "0.13.0"
@ -36,7 +37,12 @@ features = [
'WebGlVertexArrayObject'
]
# the self-dependency specifies features to use for tests and examples
#
# https://github.com/rust-lang/cargo/issues/2911#issuecomment-1483256987
#
[dev-dependencies]
dyna3 = { path = ".", default-features = false, features = ["dev"] }
wasm-bindgen-test = "0.3.34"
[profile.release]

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@ -0,0 +1,25 @@
use dyna3::engine::{Q, irisawa::realize_irisawa_hexlet};
fn main() {
const SCALED_TOL: f64 = 1.0e-12;
let (config, success, history) = realize_irisawa_hexlet(SCALED_TOL);
print!("\nCompleted Gram matrix:{}", config.tr_mul(&*Q) * &config);
if success {
println!("Target accuracy achieved!");
} else {
println!("Failed to reach target accuracy");
}
println!("Steps: {}", history.scaled_loss.len() - 1);
println!("Loss: {}", history.scaled_loss.last().unwrap());
if success {
println!("\nChain diameters:");
println!(" {} sun (given)", 1.0 / config[(3, 3)]);
for k in 4..9 {
println!(" {} sun", 1.0 / config[(3, k)]);
}
}
println!("\nStep │ Loss\n─────┼────────────────────────────────");
for (step, scaled_loss) in history.scaled_loss.into_iter().enumerate() {
println!("{:<4}{}", step, scaled_loss);
}
}

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@ -0,0 +1,38 @@
use nalgebra::DMatrix;
use dyna3::engine::{Q, point, realize_gram, sphere, PartialMatrix};
fn main() {
let gram = {
let mut gram_to_be = PartialMatrix::new();
for j in 0..2 {
for k in j..2 {
gram_to_be.push_sym(j, k, if (j, k) == (1, 1) { 1.0 } else { 0.0 });
}
}
gram_to_be
};
let guess = DMatrix::from_columns(&[
point(0.0, 0.0, 2.0),
sphere(0.0, 0.0, 0.0, 1.0)
]);
let frozen = [(3, 0)];
println!();
let (config, success, history) = realize_gram(
&gram, guess, &frozen,
1.0e-12, 0.5, 0.9, 1.1, 200, 110
);
print!("\nCompleted Gram matrix:{}", config.tr_mul(&*Q) * &config);
print!("Configuration:{}", config);
if success {
println!("Target accuracy achieved!");
} else {
println!("Failed to reach target accuracy");
}
println!("Steps: {}", history.scaled_loss.len() - 1);
println!("Loss: {}", history.scaled_loss.last().unwrap());
println!("\nStep │ Loss\n─────┼────────────────────────────────");
for (step, scaled_loss) in history.scaled_loss.into_iter().enumerate() {
println!("{:<4}{}", step, scaled_loss);
}
}

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@ -0,0 +1,40 @@
use nalgebra::DMatrix;
use dyna3::engine::{Q, realize_gram, sphere, PartialMatrix};
fn main() {
let gram = {
let mut gram_to_be = PartialMatrix::new();
for j in 0..3 {
for k in j..3 {
gram_to_be.push_sym(j, k, if j == k { 1.0 } else { -1.0 });
}
}
gram_to_be
};
let guess = {
let a: f64 = 0.75_f64.sqrt();
DMatrix::from_columns(&[
sphere(1.0, 0.0, 0.0, 1.0),
sphere(-0.5, a, 0.0, 1.0),
sphere(-0.5, -a, 0.0, 1.0)
])
};
println!();
let (config, success, history) = realize_gram(
&gram, guess, &[],
1.0e-12, 0.5, 0.9, 1.1, 200, 110
);
print!("\nCompleted Gram matrix:{}", config.tr_mul(&*Q) * &config);
if success {
println!("Target accuracy achieved!");
} else {
println!("Failed to reach target accuracy");
}
println!("Steps: {}", history.scaled_loss.len() - 1);
println!("Loss: {}", history.scaled_loss.last().unwrap());
println!("\nStep │ Loss\n─────┼────────────────────────────────");
for (step, scaled_loss) in history.scaled_loss.into_iter().enumerate() {
println!("{:<4}{}", step, scaled_loss);
}
}

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@ -1,8 +1,11 @@
# based on "Enabling print statements in Cargo tests", by Jon Almeida
#!/bin/sh
# run all Cargo examples, as described here:
#
# https://jonalmeida.com/posts/2015/01/23/print-cargo/
# Karol Kuczmarski. "Add examples to your Rust libraries"
# http://xion.io/post/code/rust-examples.html
#
cargo test -- --nocapture engine::tests::irisawa_hexlet_test
cargo test -- --nocapture engine::tests::three_spheres_example
cargo test -- --nocapture engine::tests::point_on_sphere_example
cargo run --example irisawa-hexlet
cargo run --example three-spheres
cargo run --example point-on-sphere

View file

@ -4,7 +4,7 @@ use web_sys::{console, wasm_bindgen::JsValue}; /* DEBUG */
// --- elements ---
#[cfg(test)]
#[cfg(feature = "dev")]
pub fn point(x: f64, y: f64, z: f64) -> DVector<f64> {
DVector::from_column_slice(&[x, y, z, 0.5, 0.5*(x*x + y*y + z*z)])
}
@ -113,7 +113,7 @@ impl DescentHistory {
// the Lorentz form
lazy_static! {
static ref Q: DMatrix<f64> = DMatrix::from_row_slice(5, 5, &[
pub static ref Q: DMatrix<f64> = DMatrix::from_row_slice(5, 5, &[
1.0, 0.0, 0.0, 0.0, 0.0,
0.0, 1.0, 0.0, 0.0, 0.0,
0.0, 0.0, 1.0, 0.0, 0.0,
@ -277,12 +277,79 @@ pub fn realize_gram(
// --- tests ---
#[cfg(test)]
mod tests {
// this problem is from a sangaku by Irisawa Shintarō Hiroatsu. the article
// below includes a nice translation of the problem statement, which was
// recorded in Uchida Itsumi's book _Kokon sankan_ (_Mathematics, Past and
// Present_)
//
// "Japan's 'Wasan' Mathematical Tradition", by Abe Haruki
// https://www.nippon.com/en/japan-topics/c12801/
//
#[cfg(feature = "dev")]
pub mod irisawa {
use std::{array, f64::consts::PI};
use super::*;
pub fn realize_irisawa_hexlet(scaled_tol: f64) -> (DMatrix<f64>, bool, DescentHistory) {
let gram = {
let mut gram_to_be = PartialMatrix::new();
for s in 0..9 {
// each sphere is represented by a spacelike vector
gram_to_be.push_sym(s, s, 1.0);
// the circumscribing sphere is tangent to all of the other
// spheres, with matching orientation
if s > 0 {
gram_to_be.push_sym(0, s, 1.0);
}
if s > 2 {
// each chain sphere is tangent to the "sun" and "moon"
// spheres, with opposing orientation
for n in 1..3 {
gram_to_be.push_sym(s, n, -1.0);
}
// each chain sphere is tangent to the next chain sphere,
// with opposing orientation
let s_next = 3 + (s-2) % 6;
gram_to_be.push_sym(s, s_next, -1.0);
}
}
gram_to_be
};
let guess = DMatrix::from_columns(
[
sphere(0.0, 0.0, 0.0, 15.0),
sphere(0.0, 0.0, -9.0, 5.0),
sphere(0.0, 0.0, 11.0, 3.0)
].into_iter().chain(
(1..=6).map(
|k| {
let ang = (k as f64) * PI/3.0;
sphere(9.0 * ang.cos(), 9.0 * ang.sin(), 0.0, 2.5)
}
)
).collect::<Vec<_>>().as_slice()
);
// the frozen entries fix the radii of the circumscribing sphere, the
// "sun" and "moon" spheres, and one of the chain spheres
let frozen: [(usize, usize); 4] = array::from_fn(|k| (3, k));
realize_gram(
&gram, guess, &frozen,
scaled_tol, 0.5, 0.9, 1.1, 200, 110
)
}
}
#[cfg(test)]
mod tests {
use super::{*, irisawa::realize_irisawa_hexlet};
#[test]
fn sub_proj_test() {
let target = PartialMatrix(vec![
@ -328,182 +395,20 @@ mod tests {
assert!(state.loss.abs() < f64::EPSILON);
}
// this problem is from a sangaku by Irisawa Shintarō Hiroatsu. the article
// below includes a nice translation of the problem statement, which was
// recorded in Uchida Itsumi's book _Kokon sankan_ (_Mathematics, Past and
// Present_)
//
// "Japan's 'Wasan' Mathematical Tradition", by Abe Haruki
// https://www.nippon.com/en/japan-topics/c12801/
//
#[test]
fn irisawa_hexlet_test() {
let gram = PartialMatrix({
let mut entries = Vec::<MatrixEntry>::new();
for s in 0..9 {
// each sphere is represented by a spacelike vector
entries.push(MatrixEntry { index: (s, s), value: 1.0 });
// the circumscribing sphere is tangent to all of the other
// spheres, with matching orientation
if s > 0 {
entries.push(MatrixEntry { index: (0, s), value: 1.0 });
entries.push(MatrixEntry { index: (s, 0), value: 1.0 });
}
if s > 2 {
// each chain sphere is tangent to the "sun" and "moon"
// spheres, with opposing orientation
for n in 1..3 {
entries.push(MatrixEntry { index: (s, n), value: -1.0 });
entries.push(MatrixEntry { index: (n, s), value: -1.0 });
}
// each chain sphere is tangent to the next chain sphere,
// with opposing orientation
let s_next = 3 + (s-2) % 6;
entries.push(MatrixEntry { index: (s, s_next), value: -1.0 });
entries.push(MatrixEntry { index: (s_next, s), value: -1.0 });
}
}
entries
});
let guess = DMatrix::from_columns(
[
sphere(0.0, 0.0, 0.0, 15.0),
sphere(0.0, 0.0, -9.0, 5.0),
sphere(0.0, 0.0, 11.0, 3.0)
].into_iter().chain(
(1..=6).map(
|k| {
let ang = (k as f64) * PI/3.0;
sphere(9.0 * ang.cos(), 9.0 * ang.sin(), 0.0, 2.5)
}
)
).collect::<Vec<_>>().as_slice()
);
let frozen: [(usize, usize); 4] = array::from_fn(|k| (3, k));
// solve Irisawa's problem
const SCALED_TOL: f64 = 1.0e-12;
let (config, success, history) = realize_gram(
&gram, guess, &frozen,
SCALED_TOL, 0.5, 0.9, 1.1, 200, 110
);
let (config, _, _) = realize_irisawa_hexlet(SCALED_TOL);
// check against Irisawa's solution
let entry_tol = SCALED_TOL.sqrt();
let solution_diams = [30.0, 10.0, 6.0, 5.0, 15.0, 10.0, 3.75, 2.5, 2.0 + 8.0/11.0];
for (k, diam) in solution_diams.into_iter().enumerate() {
assert!((config[(3, k)] - 1.0 / diam).abs() < entry_tol);
}
print!("\nCompleted Gram matrix:{}", config.tr_mul(&*Q) * &config);
if success {
println!("Target accuracy achieved!");
} else {
println!("Failed to reach target accuracy");
}
println!("Steps: {}", history.scaled_loss.len() - 1);
println!("Loss: {}", history.scaled_loss.last().unwrap());
if success {
println!("\nChain diameters:");
println!(" {} sun (given)", 1.0 / config[(3, 3)]);
for k in 4..9 {
println!(" {} sun", 1.0 / config[(3, k)]);
}
}
println!("\nStep │ Loss\n─────┼────────────────────────────────");
for (step, scaled_loss) in history.scaled_loss.into_iter().enumerate() {
println!("{:<4}{}", step, scaled_loss);
}
}
// --- process inspection examples ---
// these tests are meant for human inspection, not automated use. run them
// one at a time in `--nocapture` mode and read through the results and
// optimization histories that they print out. the `run-examples` script
// will run all of them
#[test]
fn three_spheres_example() {
let gram = PartialMatrix({
let mut entries = Vec::<MatrixEntry>::new();
for j in 0..3 {
for k in 0..3 {
entries.push(MatrixEntry {
index: (j, k),
value: if j == k { 1.0 } else { -1.0 }
});
}
}
entries
});
let guess = {
let a: f64 = 0.75_f64.sqrt();
DMatrix::from_columns(&[
sphere(1.0, 0.0, 0.0, 1.0),
sphere(-0.5, a, 0.0, 1.0),
sphere(-0.5, -a, 0.0, 1.0)
])
};
println!();
let (config, success, history) = realize_gram(
&gram, guess, &[],
1.0e-12, 0.5, 0.9, 1.1, 200, 110
);
print!("\nCompleted Gram matrix:{}", config.tr_mul(&*Q) * &config);
if success {
println!("Target accuracy achieved!");
} else {
println!("Failed to reach target accuracy");
}
println!("Steps: {}", history.scaled_loss.len() - 1);
println!("Loss: {}", history.scaled_loss.last().unwrap());
println!("\nStep │ Loss\n─────┼────────────────────────────────");
for (step, scaled_loss) in history.scaled_loss.into_iter().enumerate() {
println!("{:<4}{}", step, scaled_loss);
}
}
#[test]
fn point_on_sphere_example() {
let gram = PartialMatrix({
let mut entries = Vec::<MatrixEntry>::new();
for j in 0..2 {
for k in 0..2 {
entries.push(MatrixEntry {
index: (j, k),
value: if (j, k) == (1, 1) { 1.0 } else { 0.0 }
});
}
}
entries
});
let guess = DMatrix::from_columns(&[
point(0.0, 0.0, 2.0),
sphere(0.0, 0.0, 0.0, 1.0)
]);
let frozen = [(3, 0)];
println!();
let (config, success, history) = realize_gram(
&gram, guess, &frozen,
1.0e-12, 0.5, 0.9, 1.1, 200, 110
);
print!("\nCompleted Gram matrix:{}", config.tr_mul(&*Q) * &config);
print!("Configuration:{}", config);
if success {
println!("Target accuracy achieved!");
} else {
println!("Failed to reach target accuracy");
}
println!("Steps: {}", history.scaled_loss.len() - 1);
println!("Loss: {}", history.scaled_loss.last().unwrap());
println!("\nStep │ Loss\n─────┼────────────────────────────────");
for (step, scaled_loss) in history.scaled_loss.into_iter().enumerate() {
println!("{:<4}{}", step, scaled_loss);
}
}
/* TO DO */
// --- new test placed here to avoid merge conflict ---
// at the frozen indices, the optimization steps should have exact zeros,
// and the realized configuration should match the initial guess
#[test]

1
app-proto/src/lib.rs Normal file
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@ -0,0 +1 @@
pub mod engine;