diff --git a/lang-trials/rust-benchmark/.gitignore b/lang-trials/rust-benchmark/.gitignore
new file mode 100644
index 0000000..5b910ca
--- /dev/null
+++ b/lang-trials/rust-benchmark/.gitignore
@@ -0,0 +1,3 @@
+target/*
+dist/*
+Cargo.lock
\ No newline at end of file
diff --git a/lang-trials/rust-benchmark/Cargo.toml b/lang-trials/rust-benchmark/Cargo.toml
new file mode 100644
index 0000000..8dde7b0
--- /dev/null
+++ b/lang-trials/rust-benchmark/Cargo.toml
@@ -0,0 +1,35 @@
+[package]
+name = "sycamore-trial"
+version = "0.1.0"
+authors = ["Aaron"]
+edition = "2021"
+
+[features]
+default = ["console_error_panic_hook"]
+
+[dependencies]
+nalgebra = "0.33.0"
+sycamore = "0.9.0-beta.2"
+typenum = "1.17.0"
+
+# The `console_error_panic_hook` crate provides better debugging of panics by
+# logging them with `console.error`. This is great for development, but requires
+# all the `std::fmt` and `std::panicking` infrastructure, so isn't great for
+# code size when deploying.
+console_error_panic_hook = { version = "0.1.7", optional = true }
+
+[dependencies.web-sys]
+version = "0.3.69"
+features = [
+ 'CanvasRenderingContext2d',
+ 'HtmlCanvasElement',
+ 'Window',
+ 'Performance'
+]
+
+[dev-dependencies]
+wasm-bindgen-test = "0.3.34"
+
+[profile.release]
+opt-level = "s" # optimize for small code size
+debug = true # include debug symbols
diff --git a/lang-trials/rust-benchmark/index.html b/lang-trials/rust-benchmark/index.html
new file mode 100644
index 0000000..82823fc
--- /dev/null
+++ b/lang-trials/rust-benchmark/index.html
@@ -0,0 +1,9 @@
+
+
+
+
+ The circular law
+
+
+
+
diff --git a/lang-trials/rust-benchmark/main.css b/lang-trials/rust-benchmark/main.css
new file mode 100644
index 0000000..f79e62c
--- /dev/null
+++ b/lang-trials/rust-benchmark/main.css
@@ -0,0 +1,23 @@
+body {
+ margin-left: 20px;
+ margin-top: 20px;
+ color: #fcfcfc;
+ background-color: #202020;
+}
+
+#app {
+ display: flex;
+ flex-direction: column;
+ width: 600px;
+}
+
+canvas {
+ float: left;
+ background-color: #020202;
+ border-radius: 10px;
+ margin-top: 5px;
+}
+
+input {
+ margin-top: 5px;
+}
\ No newline at end of file
diff --git a/lang-trials/rust-benchmark/notes b/lang-trials/rust-benchmark/notes
new file mode 100644
index 0000000..79a4030
--- /dev/null
+++ b/lang-trials/rust-benchmark/notes
@@ -0,0 +1,13 @@
+in profiling, most time is being spent in the `reflect` method:
+
+f64:
+ sycamore_trial-3d0aca3efee8b5fd.wasm.nalgebra::geometry::reflection::Reflection::reflect::h7899977a4ba0b1d3
+ sycamore_trial-3d0aca3efee8b5fd.wasm.nalgebra::geometry::reflection::Reflection::reflect::hc337c3cb6e3b4061
+ sycamore_trial-3d0aca3efee8b5fd.wasm.nalgebra::geometry::reflection::Reflection::reflect_rows::h43d0f6838d0c2833
+
+f32:
+ sycamore_trial-3d0aca3efee8b5fd.wasm.nalgebra::geometry::reflection::Reflection::reflect::h0e8ec322f198f847
+ sycamore_trial-3d0aca3efee8b5fd.wasm.nalgebra::geometry::reflection::Reflection::reflect::h9928bdd5e72743ea
+ sycamore_trial-3d0aca3efee8b5fd.wasm.nalgebra::geometry::reflection::Reflection::reflect_rows::h49f571fd8fc9b0f2
+
+in one test, we spent 4000 ms in "WASM closure", but the enveloping "VoidFunction" takes 1300 ms longer. in another test, though, there's no overhang; the 7000 ms we spent in `rand_eigval_series` accounts for basically the entire load time, and matches the clock timing
diff --git a/lang-trials/rust-benchmark/src/engine.rs b/lang-trials/rust-benchmark/src/engine.rs
new file mode 100644
index 0000000..3b2b290
--- /dev/null
+++ b/lang-trials/rust-benchmark/src/engine.rs
@@ -0,0 +1,176 @@
+use nalgebra::{*, allocator::Allocator};
+use std::f64::consts::{PI, E};
+use web_sys::console;
+/*use std::ops::Sub;*/
+/*use typenum::{B1, UInt, UTerm};*/
+
+/*pub fn eigvals_rotated(A: SMatrix, time: f64): complex_eigenvalues(&self) -> OVector, D>*/
+
+/* static matrices. should only be used when the dimension is really small */
+/*pub fn rand_eigval_series(time_res: usize) -> Vec, N>>
+ where
+ N: ToTypenum + DimName + DimSub,
+ DefaultAllocator:
+ Allocator +
+ Allocator +
+ Allocator<>::Output> +
+ Allocator>::Output>
+{
+ // initialize the random matrix
+ let dim = N::try_to_usize().unwrap();
+ console::log_1(&format!("dimension {dim}").into());
+ let mut rand_mat = OMatrix::::from_fn(|j, k| {
+ let n = j*dim + k;
+ E*((n*n) as f64) % 2.0 - 1.0
+ }) * (3.0 / (dim as f64)).sqrt();
+ /*let mut rand_mat = OMatrix::::identity();*/
+
+ // initialize the rotation step
+ let mut rot_step = OMatrix::::identity();
+ let max_freq = 4;
+ for n in (0..dim).step_by(2) {
+ let ang = PI * ((n % max_freq) as f64) / (time_res as f64);
+ let ang_cos = ang.cos();
+ let ang_sin = ang.sin();
+ rot_step[(n, n)] = ang_cos;
+ rot_step[(n+1, n)] = ang_sin;
+ rot_step[(n, n+1)] = -ang_sin;
+ rot_step[(n+1, n+1)] = ang_cos;
+ }
+
+ // find the eigenvalues
+ let mut eigval_series = Vec::, N>>::with_capacity(time_res);
+ console::log_1(&"before engine eigenvalues".into());
+ eigval_series.push(rand_mat.complex_eigenvalues());
+ console::log_1(&"after engine eigenvalues".into());
+ for _ in 1..time_res {
+ rand_mat = &rot_step * rand_mat;
+ eigval_series.push(rand_mat.complex_eigenvalues());
+ }
+ eigval_series
+}*/
+
+/* another attempt at static matrices. i couldn't get the types to work out */
+/*pub fn random_eigval_series(time_res: usize) -> Vec, Const>>
+ where
+ Const: ToTypenum,
+ as ToTypenum>::Typenum: Sub>,
+ < as ToTypenum>::Typenum as Sub>>::Output: ToConst
+{
+ // initialize the random matrix
+ /*let mut rand_mat = SMatrix::::zeros();
+ for n in 0..N*N {
+ rand_mat[n] = E*((n*n) as f64) % 2.0 - 1.0;
+ }*/
+ let rand_mat = OMatrix::, Const>::from_fn(|j, k| {
+ let n = j*N + k;
+ E*((n*n) as f64) % 2.0 - 1.0
+ });
+
+ // initialize the rotation step
+ let mut rot_step = OMatrix::, Const>::identity();
+ let max_freq = 4;
+ for n in (0..N).step_by(2) {
+ let ang = PI * ((n % max_freq) as f64) / (time_res as f64);
+ let ang_cos = ang.cos();
+ let ang_sin = ang.sin();
+ rot_step[(n, n)] = ang_cos;
+ rot_step[(n+1, n)] = ang_sin;
+ rot_step[(n, n+1)] = -ang_sin;
+ rot_step[(n+1, n+1)] = ang_cos;
+ }
+
+ // find the eigenvalues
+ let mut eigvals = Vec::, Const>>::with_capacity(time_res);
+ unsafe { eigvals.set_len(time_res); }
+ for t in 0..time_res {
+ eigvals[t] = rand_mat.complex_eigenvalues();
+ }
+ eigvals
+}*/
+
+/* dynamic matrices */
+pub fn rand_eigval_series(time_res: usize) -> Vec, Dyn>>
+ where
+ N: ToTypenum + DimName + DimSub,
+ DefaultAllocator:
+ Allocator +
+ Allocator +
+ Allocator<>::Output> +
+ Allocator>::Output>
+{
+ // initialize the random matrix
+ let dim = N::try_to_usize().unwrap();
+ console::log_1(&format!("dimension {dim}").into());
+ let mut rand_mat = DMatrix::::from_fn(dim, dim, |j, k| {
+ let n = j*dim + k;
+ E*((n*n) as f64) % 2.0 - 1.0
+ }) * (3.0 / (dim as f64)).sqrt();
+
+ // initialize the rotation step
+ let mut rot_step = DMatrix::::identity(dim, dim);
+ let max_freq = 4;
+ for n in (0..dim).step_by(2) {
+ let ang = PI * ((n % max_freq) as f64) / (time_res as f64);
+ let ang_cos = ang.cos();
+ let ang_sin = ang.sin();
+ rot_step[(n, n)] = ang_cos;
+ rot_step[(n+1, n)] = ang_sin;
+ rot_step[(n, n+1)] = -ang_sin;
+ rot_step[(n+1, n+1)] = ang_cos;
+ }
+
+ // find the eigenvalues
+ let mut eigval_series = Vec::, Dyn>>::with_capacity(time_res);
+ console::log_1(&"before engine eigenvalues".into());
+ eigval_series.push(rand_mat.complex_eigenvalues());
+ console::log_1(&"after engine eigenvalues".into());
+ for _ in 1..time_res {
+ rand_mat = &rot_step * rand_mat;
+ eigval_series.push(rand_mat.complex_eigenvalues());
+ }
+ eigval_series
+}
+
+/* dynamic single float matrices */
+/*pub fn rand_eigval_series(time_res: usize) -> Vec, Dyn>>
+ where
+ N: ToTypenum + DimName + DimSub,
+ DefaultAllocator:
+ Allocator +
+ Allocator +
+ Allocator<>::Output> +
+ Allocator>::Output>
+{
+ // initialize the random matrix
+ let dim = N::try_to_usize().unwrap();
+ console::log_1(&format!("dimension {dim}").into());
+ let mut rand_mat = DMatrix::::from_fn(dim, dim, |j, k| {
+ let n = j*dim + k;
+ (E as f32)*((n*n) as f32) % 2.0_f32 - 1.0_f32
+ }) * (3.0_f32 / (dim as f32)).sqrt();
+
+ // initialize the rotation step
+ let mut rot_step = DMatrix::::identity(dim, dim);
+ let max_freq = 4;
+ for n in (0..dim).step_by(2) {
+ let ang = (PI as f32) * ((n % max_freq) as f32) / (time_res as f32);
+ let ang_cos = ang.cos();
+ let ang_sin = ang.sin();
+ rot_step[(n, n)] = ang_cos;
+ rot_step[(n+1, n)] = ang_sin;
+ rot_step[(n, n+1)] = -ang_sin;
+ rot_step[(n+1, n+1)] = ang_cos;
+ }
+
+ // find the eigenvalues
+ let mut eigval_series = Vec::, Dyn>>::with_capacity(time_res);
+ console::log_1(&"before engine eigenvalues".into());
+ eigval_series.push(rand_mat.complex_eigenvalues());
+ console::log_1(&"after engine eigenvalues".into());
+ for _ in 1..time_res {
+ rand_mat = &rot_step * rand_mat;
+ eigval_series.push(rand_mat.complex_eigenvalues());
+ }
+ eigval_series
+}*/
\ No newline at end of file
diff --git a/lang-trials/rust-benchmark/src/main.rs b/lang-trials/rust-benchmark/src/main.rs
new file mode 100644
index 0000000..7143e20
--- /dev/null
+++ b/lang-trials/rust-benchmark/src/main.rs
@@ -0,0 +1,86 @@
+use nalgebra::*;
+use std::f64::consts::PI as PI;
+use sycamore::{prelude::*, rt::{JsCast, JsValue}};
+use web_sys::{console, window};
+
+mod engine;
+
+fn main() {
+ // set up a config option that forwards panic messages to `console.error`
+ #[cfg(feature = "console_error_panic_hook")]
+ console_error_panic_hook::set_once();
+
+ /*console::log_1(&"before test schur 60".into());*/
+ /*let test_rand_mat = OMatrix::::identity();*/
+ /*let test_rot_step = OMatrix::::identity();*/
+ /*let test_schur = test_rand_mat.schur();
+ console::log_1(&format!("after test schur").into());
+ let test_eigvals = test_schur.complex_eigenvalues();
+ console::log_1(&format!("after test eigenvalues").into());*/
+
+ sycamore::render(|| {
+ let time_res: usize = 100;
+ let time_step = create_signal(0.0);
+ let run_time_report = create_signal(-1.0);
+ let display = create_node_ref();
+
+ on_mount(move || {
+ let performance = window().unwrap().performance().unwrap();
+ let start_time = performance.now();
+ let eigval_series = engine::rand_eigval_series::(time_res);
+ let run_time = performance.now() - start_time;
+ run_time_report.set(run_time);
+
+ let canvas = display
+ .get::()
+ .unchecked_into::();
+ let ctx = canvas
+ .get_context("2d")
+ .unwrap()
+ .unwrap()
+ .dyn_into::()
+ .unwrap();
+ ctx.set_fill_style(&JsValue::from("white"));
+
+ create_effect(move || {
+ // center and normalize the coordinate system
+ let width = canvas.width() as f64;
+ let height = canvas.height() as f64;
+ ctx.set_transform(1.0, 0.0, 0.0, -1.0, 0.5*width, 0.5*height).unwrap();
+
+ // clear the previous frame
+ ctx.clear_rect(-0.5*width, -0.5*width, width, height);
+
+ // find the resolution
+ const R_DISP: f64 = 1.5;
+ let res = width / (2.0*R_DISP);
+
+ // draw the eigenvalues
+ let eigvals = &eigval_series[time_step.get() as usize];
+ for n in 0..eigvals.len() {
+ ctx.begin_path();
+ ctx.arc(
+ /* typecast only needed for single float version */
+ res * f64::from(eigvals[n].re),
+ res * f64::from(eigvals[n].im),
+ 3.0,
+ 0.0, 2.0*PI
+ ).unwrap();
+ ctx.fill();
+ }
+ });
+ });
+
+ view! {
+ div(id="app") {
+ div { (run_time_report.get()) " ms" }
+ canvas(ref=display, width="600", height="600")
+ input(
+ type="range",
+ max=(time_res - 1).to_string(),
+ bind:valueAsNumber=time_step
+ )
+ }
+ }
+ });
+}
\ No newline at end of file