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Author SHA1 Message Date
a66a4d17c6 chore: shebang -> /bin/sh, no bash features used 2024-11-25 16:30:00 -08:00
Aaron Fenyes
dc5020752b Say how to run the prototype, examples, and tests 2024-11-25 01:37:48 -08:00
Aaron Fenyes
848f7d665b Rename the dev feature to reflect its generality 2024-11-21 20:26:51 -08:00
Aaron Fenyes
b23d4a1860 Separate test and example for Irisawa hexlet
Put shared code in the conditionally compiled `engine::irisawa` module.
2024-11-21 20:17:52 -08:00
Aaron Fenyes
de8c662de4 Factor out the realization of the Irisawa hexlet 2024-11-21 20:17:52 -08:00
Aaron Fenyes
e69073a996 Streamline Gram matrix setup for Irisawa hexlet 2024-11-21 20:17:52 -08:00
Aaron Fenyes
519d0f49df Turn assertionless tests into Cargo examples 2024-11-21 20:17:52 -08:00
8 changed files with 241 additions and 175 deletions

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@ -17,3 +17,51 @@ Note that currently this is just the barest beginnings of the project, more of a
* Able to run in browser (so implemented in WASM-compatible language) * Able to run in browser (so implemented in WASM-compatible language)
* Produce scalable graphics of 3D diagrams, and maybe STL files (or other fabricatable file format) as well. * Produce scalable graphics of 3D diagrams, and maybe STL files (or other fabricatable file format) as well.
## Prototype
The latest prototype is in the folder `app-proto`. It includes both a user interface and a numerical constraint-solving engine.
### Install the prerequisites
1. Install [`rustup`](https://rust-lang.github.io/rustup/): the officially recommended Rust toolchain manager
* It's available on Ubuntu as a [Snap](https://snapcraft.io/rustup)
2. Call `rustup default stable` to "download the latest stable release of Rust and set it as your default toolchain"
* If you forget, the `rustup` [help system](https://github.com/rust-lang/rustup/blob/d9b3601c3feb2e88cf3f8ca4f7ab4fdad71441fd/src/errors.rs#L109-L112) will remind you
3. Call `rustup target add wasm32-unknown-unknown` to add the [most generic 32-bit WebAssembly target](https://doc.rust-lang.org/nightly/rustc/platform-support/wasm32-unknown-unknown.html)
4. Call `cargo install wasm-pack` to install the [WebAssembly toolchain](https://rustwasm.github.io/docs/wasm-pack/)
5. Call `cargo install trunk` to install the [Trunk](https://trunkrs.dev/) web-build tool
6. Add the `.cargo/bin` folder in your home directory to your executable search path
* This lets you call Trunk, and other tools installed by Cargo, without specifying their paths
* On POSIX systems, the search path is stored in the `PATH` environment variable
### Play with the prototype
1. Go into the `app-proto` folder
2. Call `trunk serve --release` to build and serve the prototype
* *The crates the prototype depends on will be downloaded and served automatically*
* *For a faster build, at the expense of a much slower prototype, you can call `trunk serve` without the `--release` flag*
3. In a web browser, visit one of the URLs listed under the message `INFO 📡 server listening at:`
* *Touching any file in the `app-proto` folder will make Trunk rebuild and live-reload the prototype*
4. Press *ctrl+C* in the shell where Trunk is running to stop serving the prototype
### Run the engine on some example problems
1. Go into the `app-proto` folder
2. Call `./run-examples`
* *For each example problem, the engine will print the value of the loss function at each optimization step*
* *The first example that prints is the same as the Irisawa hexlet example from the Julia version of the engine prototype. If you go into `engine-proto/gram-test`, launch Julia, and then*
```julia
include("irisawa-hexlet.jl")
for (step, scaled_loss) in enumerate(history_alt.scaled_loss)
println(rpad(step-1, 4), " | ", scaled_loss)
end
```
*you should see that it prints basically the same loss history until the last few steps, when the lower default precision of the Rust engine really starts to show*
### Run the automated tests
1. Go into the `app-proto` folder
2. Call `cargo test`

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

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@ -4,7 +4,7 @@ use web_sys::{console, wasm_bindgen::JsValue}; /* DEBUG */
// --- elements --- // --- elements ---
#[cfg(test)] #[cfg(feature = "dev")]
pub fn point(x: f64, y: f64, z: f64) -> DVector<f64> { 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)]) 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 // the Lorentz form
lazy_static! { 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, 1.0, 0.0, 0.0, 0.0, 0.0,
0.0, 1.0, 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, 0.0, 0.0, 1.0, 0.0, 0.0,
@ -277,12 +277,79 @@ pub fn realize_gram(
// --- tests --- // --- tests ---
#[cfg(test)] // this problem is from a sangaku by Irisawa Shintarō Hiroatsu. the article
mod tests { // 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 std::{array, f64::consts::PI};
use super::*; 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] #[test]
fn sub_proj_test() { fn sub_proj_test() {
let target = PartialMatrix(vec![ let target = PartialMatrix(vec![
@ -328,182 +395,20 @@ mod tests {
assert!(state.loss.abs() < f64::EPSILON); 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] #[test]
fn irisawa_hexlet_test() { fn irisawa_hexlet_test() {
let gram = PartialMatrix({ // solve Irisawa's problem
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));
const SCALED_TOL: f64 = 1.0e-12; const SCALED_TOL: f64 = 1.0e-12;
let (config, success, history) = realize_gram( let (config, _, _) = realize_irisawa_hexlet(SCALED_TOL);
&gram, guess, &frozen,
SCALED_TOL, 0.5, 0.9, 1.1, 200, 110 // check against Irisawa's solution
);
let entry_tol = SCALED_TOL.sqrt(); 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]; 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() { for (k, diam) in solution_diams.into_iter().enumerate() {
assert!((config[(3, k)] - 1.0 / diam).abs() < entry_tol); 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, // at the frozen indices, the optimization steps should have exact zeros,
// and the realized configuration should match the initial guess // and the realized configuration should match the initial guess
#[test] #[test]

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