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Author SHA1 Message Date
46324fecc6 Use workaround to keep representation coordinates in order (#46)
This fixes #41 by rendering representation vectors with a static list view rather than an `Indexed` view. The Sycamore maintainer has confirmed that `Indexed` is always supposed to display list items in order, so I think #41 is likely caused by a bug in `Indexed`. We should consider reverting this pull request when the bug is fixed.

Co-authored-by: Aaron Fenyes <aaron.fenyes@fareycircles.ooo>
Reviewed-on: glen/dyna3#46
Co-authored-by: Vectornaut <vectornaut@nobody@nowhere.net>
Co-committed-by: Vectornaut <vectornaut@nobody@nowhere.net>
2025-02-08 06:08:36 +00:00
25017176fd Adjust normalization step of nudge routine (#43)
The brach to be merged partially addresses issue #42 by changing the way we normalize element representations after stepping them in a straight line through configuration space during a nudge. On the main branch, we rescale the whole representation vector. On the branch to be merged, we instead contract the representation vector toward the last coordinate axis by rescaling the spatial and curvature components.

### Improvement in leakage

This change reduces the directional leakage described in #42. For a quantitative comparison, I used the [reproduction prodcedure](issues/42#user-content-leakage) from that issue, holding **W** until the second coordinate of Deimos had increased by 4 units (from 0.6 to 4.6). During this motion, the third coordinate changed by 0.158 units on the main branch, but only 0.007 units on the branch to be merged. In other words, this pull request decreased drift by roughly a factor of 20.

### Neutral changes in oscillation and jitter

This change makes oscillation and jitter happen differently during the reproduction procedures from #42, but I wouldn't describe them as being better or worse.

Co-authored-by: Aaron Fenyes <aaron.fenyes@fareycircles.ooo>
Reviewed-on: glen/dyna3#43
Co-authored-by: Vectornaut <vectornaut@nobody@nowhere.net>
Co-committed-by: Vectornaut <vectornaut@nobody@nowhere.net>
2025-02-06 22:53:41 +00:00
817a446fad Switch to Euclidean-invariant projection onto tangent space of solution variety (#34)
This pull request addresses issues #32 and #33 by projecting nudges onto the tangent space of the solution variety using a Euclidean-invariant inner product, which I'm calling the *uniform* inner product.

### Definition of the uniform inner product

For spheres and planes, the uniform inner product is defined on the tangent space of the hyperboloid $\langle v, v \rangle = 1$. For points, it's defined on the tangent space of the paraboloid $\langle v, v \rangle = 0,\; \langle v, I_\infty \rangle = 1$.

The tangent space of an assembly can be expressed as the direct sum of the tangent spaces of the elements. We extend the uniform inner product to assemblies by declaring the tangent spaces of different elements to be orthogonal.

#### For spheres and planes

If $v = [x, y, z, b, c]^\top$ is on the hyperboloid $\langle v, v \rangle = 1$, the vectors
$$\left[ \begin{array}{c} 2b \\ \cdot \\ \cdot \\ \cdot \\ x \end{array} \right],\;\left[ \begin{array}{c} \cdot \\ 2b \\ \cdot \\ \cdot \\ y \end{array} \right],\;\left[ \begin{array}{c} \cdot \\ \cdot \\ 2b \\ \cdot \\ z \end{array} \right],\;\left[ \begin{array}{l} 2bx \\ 2by \\ 2bz \\ 2b^2 \\ 2bc + 1 \end{array} \right]$$
form a basis for the tangent space of hyperboloid at $v$. We declare this basis to be orthonormal with respect to the uniform inner product.

The first three vectors in the basis are unit-speed translations along the coordinate axes. The last vector moves the surface at unit speed along its normal field. For spheres, this increases the radius at unit rate. For planes, this translates the plane parallel to itself at unit speed. This description makes it clear that the uniform inner product is invariant under Euclidean motions.

#### For points

If $v = [x, y, z, b, c]^\top$ is on the paraboloid $\langle v, v \rangle = 0,\; \langle v, I_\infty \rangle = 1$, the vectors
$$\left[ \begin{array}{c} 2b \\ \cdot \\ \cdot \\ \cdot \\ x \end{array} \right],\;\left[ \begin{array}{c} \cdot \\ 2b \\ \cdot \\ \cdot \\ y \end{array} \right],\;\left[ \begin{array}{c} \cdot \\ \cdot \\ 2b \\ \cdot \\ z \end{array} \right]$$
form a basis for the tangent space of paraboloid at $v$. We declare this basis to be orthonormal with respect to the uniform inner product.

The meanings of the basis vectors, and the argument that the uniform inner product is Euclidean-invariant, are the same as for spheres and planes. In the engine, we pad the basis with $[0, 0, 0, 0, 1]^\top$ to keep the number of uniform coordinates consistent across element types.

### Confirmation of intended behavior

Two new tests confirm that we've corrected the misbehaviors described in issues #32 and #33.

Issue | Test
---|---
#32 | `proj_equivar_test`
#33 | `tangent_test_kaleidocycle`

Co-authored-by: Aaron Fenyes <aaron.fenyes@fareycircles.ooo>
Reviewed-on: glen/dyna3#34
Co-authored-by: Vectornaut <vectornaut@nobody@nowhere.net>
Co-committed-by: Vectornaut <vectornaut@nobody@nowhere.net>
2025-01-31 19:34:33 +00:00
22870342f3 Manipulate the assembly (#29)
feat: Find tangent space of solution variety, use for perturbations

### Tangent space

#### Implementation

The structure `engine::ConfigSubspace` represents a subspace of the configuration vector space $\operatorname{Hom}(\mathbb{R}^n, \mathbb{R}^5)$. It holds a basis for the subspace which is orthonormal with respect to the Euclidean inner product. The method `ConfigSubspace::symmetric_kernel` takes an endomorphism of the configuration vector space, which must be symmetric with respect to the Euclidean inner product, and returns its approximate kernel in the form of a `ConfigSubspace`.

At the end of `engine::realize_gram`, we use the computed Hessian to find the tangent space of the solution variety, and we return it alongside the realization. Since altering the constraints can change the tangent space without changing the solution, we compute the tangent space even when the guess passed to the realization routine is already a solution.

After `Assembly::realize` calls `engine::realize_gram`, it saves the returned tangent space in the assembly's `tangent` signal. The basis vectors are stored in configuration matrix format, ordered according to the elements' column indices. To help maintain consistency between the storage layout of the tangent space and the elements' column indices, we switch the column index data type from `usize` to `Option<usize>` and enforce the following invariants:

1. If an element has a column index, its tangent motions can be found in that column of the tangent space basis matrices.
2. If an element is affected by a constraint, it has a column index.

The comments in `assembly.rs` state the invariants and describe how they're enforced.

#### Automated testing

The test `engine::tests::tangent_test` builds a simple assembly with a known tangent space, runs the realization routine, and checks the returned tangent space against a hand-computed basis.

#### Limitations

The method `ConfigSubspace::symmetric_kernel` approximates the kernel by taking all the eigenspaces whose eigenvalues are smaller than a hard-coded threshold size. We may need a more flexible system eventually.

### Deformation

#### Implementation

The main purpose of this implementation is to confirm that deformation works as we'd hoped. The code is messy, and the deformation routine has at least one numerical quirk.

For simplicity, the keyboard commands that manipulate the assembly are handled by the display, just like the keyboard commands that control the camera. Deformation happens at the beginning of the animation loop.

The function `Assembly::deform` works like this:
1. Take a list of element motions
2. Project them onto the tangent space of the solution variety
3. Sum them to get a deformation $v$ of the whole assembly
4. Step the assembly along the "mass shell" geodesic tangent to $v$
   * This step stays on the solution variety to first order
5. Call `realize` to bring the assembly back onto the solution variety

#### Manual testing

To manipulate the assembly:
1. Select a sphere
2. Make sure the display has focus
3. Hold the following keys:
   * **A**/**D** for $x$ translation
   * **W**/**S** for $y$ translation
   * **shift**+**W**/**S** for $z$ translation

#### Limitations

Because the manipulation commands are handled by the display, you can only manipulate the assembly when the display has focus.

Since our test assemblies only include spheres, we assume in `Assembly::deform` that every element is a sphere.

When the tangent space is zero, `Assembly::deform` does nothing except print "The assembly is rigid" to the console.

During a deformation, the curvature and co-curvature components of a sphere's vector representation can exhibit weird discontinuous "swaps" that don't visibly affect how the sphere is drawn. *[I'll write more about this in an issue.]*

Co-authored-by: Aaron Fenyes <aaron.fenyes@fareycircles.ooo>
Reviewed-on: glen/dyna3#29
Co-authored-by: Vectornaut <vectornaut@nobody@nowhere.net>
Co-committed-by: Vectornaut <vectornaut@nobody@nowhere.net>
2024-12-30 22:53:07 +00:00
10 changed files with 770 additions and 47 deletions

View file

@ -2,7 +2,7 @@ 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);
let (config, _, success, history) = realize_irisawa_hexlet(SCALED_TOL);
print!("\nCompleted Gram matrix:{}", config.tr_mul(&*Q) * &config);
if success {
println!("Target accuracy achieved!");

View file

@ -0,0 +1,72 @@
use nalgebra::{DMatrix, DVector};
use std::{array, f64::consts::PI};
use dyna3::engine::{Q, point, realize_gram, PartialMatrix};
fn main() {
// set up a kaleidocycle, made of points with fixed distances between them,
// and find its tangent space
const N_POINTS: usize = 12;
let gram = {
let mut gram_to_be = PartialMatrix::new();
for block in (0..N_POINTS).step_by(2) {
let block_next = (block + 2) % N_POINTS;
for j in 0..2 {
// diagonal and hinge edges
for k in j..2 {
gram_to_be.push_sym(block + j, block + k, if j == k { 0.0 } else { -0.5 });
}
// non-hinge edges
for k in 0..2 {
gram_to_be.push_sym(block + j, block_next + k, -0.625);
}
}
}
gram_to_be
};
let guess = {
const N_HINGES: usize = 6;
let guess_elts = (0..N_HINGES).step_by(2).flat_map(
|n| {
let ang_hor = (n as f64) * PI/3.0;
let ang_vert = ((n + 1) as f64) * PI/3.0;
let x_vert = ang_vert.cos();
let y_vert = ang_vert.sin();
[
point(0.0, 0.0, 0.0),
point(ang_hor.cos(), ang_hor.sin(), 0.0),
point(x_vert, y_vert, -0.5),
point(x_vert, y_vert, 0.5)
]
}
).collect::<Vec<_>>();
DMatrix::from_columns(&guess_elts)
};
let frozen: [_; N_POINTS] = array::from_fn(|k| (3, k));
let (config, tangent, success, history) = realize_gram(
&gram, guess, &frozen,
1.0e-12, 0.5, 0.9, 1.1, 200, 110
);
print!("Completed 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: {}\n", history.scaled_loss.last().unwrap());
// find the kaleidocycle's twist motion
let up = DVector::from_column_slice(&[0.0, 0.0, 1.0, 0.0]);
let down = -&up;
let twist_motion: DMatrix<_> = (0..N_POINTS).step_by(4).flat_map(
|n| [
tangent.proj(&up.as_view(), n),
tangent.proj(&down.as_view(), n+1)
]
).sum();
let normalization = 5.0 / twist_motion[(2, 0)];
print!("Twist motion:{}", normalization * twist_motion);
}

View file

@ -18,7 +18,7 @@ fn main() {
]);
let frozen = [(3, 0)];
println!();
let (config, success, history) = realize_gram(
let (config, _, success, history) = realize_gram(
&gram, guess, &frozen,
1.0e-12, 0.5, 0.9, 1.1, 200, 110
);

View file

@ -21,7 +21,7 @@ fn main() {
])
};
println!();
let (config, success, history) = realize_gram(
let (config, _, success, history) = realize_gram(
&gram, guess, &[],
1.0e-12, 0.5, 0.9, 1.1, 200, 110
);

View file

@ -9,3 +9,4 @@
cargo run --example irisawa-hexlet
cargo run --example three-spheres
cargo run --example point-on-sphere
cargo run --example kaleidocycle

View file

@ -1,11 +1,11 @@
use nalgebra::{DMatrix, DVector, Vector3};
use nalgebra::{DMatrix, DVector, DVectorView, Vector3};
use rustc_hash::FxHashMap;
use slab::Slab;
use std::{collections::BTreeSet, sync::atomic::{AtomicU64, Ordering}};
use sycamore::prelude::*;
use web_sys::{console, wasm_bindgen::JsValue}; /* DEBUG */
use crate::engine::{realize_gram, PartialMatrix};
use crate::engine::{realize_gram, local_unif_to_std, ConfigSubspace, PartialMatrix};
// the types of the keys we use to access an assembly's elements and constraints
pub type ElementKey = usize;
@ -33,8 +33,9 @@ pub struct Element {
pub serial: u64,
// the configuration matrix column index that was assigned to this element
// last time the assembly was realized
column_index: usize
// last time the assembly was realized, or `None` if the element has never
// been through a realization
column_index: Option<usize>
}
impl Element {
@ -62,7 +63,7 @@ impl Element {
representation: create_signal(representation),
constraints: create_signal(BTreeSet::default()),
serial: serial,
column_index: 0
column_index: None
}
}
@ -109,7 +110,6 @@ impl Element {
}
}
}
#[derive(Clone)]
pub struct Constraint {
@ -120,6 +120,14 @@ pub struct Constraint {
pub active: Signal<bool>
}
// the velocity is expressed in uniform coordinates
pub struct ElementMotion<'a> {
pub key: ElementKey,
pub velocity: DVectorView<'a, f64>
}
type AssemblyMotion<'a> = Vec<ElementMotion<'a>>;
// a complete, view-independent description of an assembly
#[derive(Clone)]
pub struct Assembly {
@ -127,6 +135,18 @@ pub struct Assembly {
pub elements: Signal<Slab<Element>>,
pub constraints: Signal<Slab<Constraint>>,
// solution variety tangent space. the basis vectors are stored in
// configuration matrix format, ordered according to the elements' column
// indices. when you realize the assembly, every element that's present
// during realization gets a column index and is reflected in the tangent
// space. since the methods in this module never assign column indices
// without later realizing the assembly, we get the following invariant:
//
// (1) if an element has a column index, its tangent motions can be found
// in that column of the tangent space basis matrices
//
pub tangent: Signal<ConfigSubspace>,
// indexing
pub elements_by_id: Signal<FxHashMap<String, ElementKey>>
}
@ -136,6 +156,7 @@ impl Assembly {
Assembly {
elements: create_signal(Slab::new()),
constraints: create_signal(Slab::new()),
tangent: create_signal(ConfigSubspace::zero(0)),
elements_by_id: create_signal(FxHashMap::default())
}
}
@ -199,7 +220,7 @@ impl Assembly {
// index the elements
self.elements.update_silent(|elts| {
for (index, (_, elt)) in elts.into_iter().enumerate() {
elt.column_index = index;
elt.column_index = Some(index);
}
});
@ -211,8 +232,8 @@ impl Assembly {
for (_, cst) in csts {
if cst.active.get_untracked() && cst.lorentz_prod_valid.get_untracked() {
let subjects = cst.subjects;
let row = elts[subjects.0].column_index;
let col = elts[subjects.1].column_index;
let row = elts[subjects.0].column_index.unwrap();
let col = elts[subjects.1].column_index.unwrap();
gram_to_be.push_sym(row, col, cst.lorentz_prod.get_untracked());
}
}
@ -222,7 +243,7 @@ impl Assembly {
// Gram matrix
let mut guess_to_be = DMatrix::<f64>::zeros(5, elts.len());
for (_, elt) in elts {
let index = elt.column_index;
let index = elt.column_index.unwrap();
gram_to_be.push_sym(index, index, 1.0);
guess_to_be.set_column(index, &elt.representation.get_clone_untracked());
}
@ -247,7 +268,7 @@ impl Assembly {
}
// look for a configuration with the given Gram matrix
let (config, success, history) = realize_gram(
let (config, tangent, success, history) = realize_gram(
&gram, guess, &[],
1.0e-12, 0.5, 0.9, 1.1, 200, 110
);
@ -263,14 +284,125 @@ impl Assembly {
));
console::log_2(&JsValue::from("Steps:"), &JsValue::from(history.scaled_loss.len() - 1));
console::log_2(&JsValue::from("Loss:"), &JsValue::from(*history.scaled_loss.last().unwrap()));
console::log_2(&JsValue::from("Tangent dimension:"), &JsValue::from(tangent.dim()));
if success {
// read out the solution
for (_, elt) in self.elements.get_clone_untracked() {
elt.representation.update(
|rep| rep.set_column(0, &config.column(elt.column_index))
|rep| rep.set_column(0, &config.column(elt.column_index.unwrap()))
);
}
// save the tangent space
self.tangent.set_silent(tangent);
}
}
// --- deformation ---
// project the given motion to the tangent space of the solution variety and
// move the assembly along it. the implementation is based on invariant (1)
// from above and the following additional invariant:
//
// (2) if an element is affected by a constraint, it has a column index
//
// we have this invariant because the assembly gets realized each time you
// add a constraint
pub fn deform(&self, motion: AssemblyMotion) {
/* KLUDGE */
// when the tangent space is zero, deformation won't do anything, but
// the attempt to deform should be registered in the UI. this console
// message will do for now
if self.tangent.with(|tan| tan.dim() <= 0 && tan.assembly_dim() > 0) {
console::log_1(&JsValue::from("The assembly is rigid"));
}
// give a column index to each moving element that doesn't have one yet.
// this temporarily breaks invariant (1), but the invariant will be
// restored when we realize the assembly at the end of the deformation.
// in the process, we find out how many matrix columns we'll need to
// hold the deformation
let realized_dim = self.tangent.with(|tan| tan.assembly_dim());
let motion_dim = self.elements.update_silent(|elts| {
let mut next_column_index = realized_dim;
for elt_motion in motion.iter() {
let moving_elt = &mut elts[elt_motion.key];
if moving_elt.column_index.is_none() {
moving_elt.column_index = Some(next_column_index);
next_column_index += 1;
}
}
next_column_index
});
// project the element motions onto the tangent space of the solution
// variety and sum them to get a deformation of the whole assembly. the
// matrix `motion_proj` that holds the deformation has extra columns for
// any moving elements that aren't reflected in the saved tangent space
const ELEMENT_DIM: usize = 5;
let mut motion_proj = DMatrix::zeros(ELEMENT_DIM, motion_dim);
for elt_motion in motion {
// we can unwrap the column index because we know that every moving
// element has one at this point
let column_index = self.elements.with_untracked(
|elts| elts[elt_motion.key].column_index.unwrap()
);
if column_index < realized_dim {
// this element had a column index when we started, so by
// invariant (1), it's reflected in the tangent space
let mut target_columns = motion_proj.columns_mut(0, realized_dim);
target_columns += self.tangent.with(
|tan| tan.proj(&elt_motion.velocity, column_index)
);
} else {
// this element didn't have a column index when we started, so
// by invariant (2), it's unconstrained
let mut target_column = motion_proj.column_mut(column_index);
let unif_to_std = self.elements.with_untracked(
|elts| {
elts[elt_motion.key].representation.with_untracked(
|rep| local_unif_to_std(rep.as_view())
)
}
);
target_column += unif_to_std * elt_motion.velocity;
}
}
// step the assembly along the deformation. this changes the elements'
// normalizations, so we restore those afterward
/* KLUDGE */
// since our test assemblies only include spheres, we assume that every
// element is on the 1 mass shell
for (_, elt) in self.elements.get_clone_untracked() {
elt.representation.update_silent(|rep| {
match elt.column_index {
Some(column_index) => {
// step the assembly along the deformation
*rep += motion_proj.column(column_index);
// restore normalization by contracting toward the last
// coordinate axis
let q_sp = rep.fixed_rows::<3>(0).norm_squared();
let half_q_lt = -2.0 * rep[3] * rep[4];
let half_q_lt_sq = half_q_lt * half_q_lt;
let scaling = half_q_lt + (q_sp + half_q_lt_sq).sqrt();
rep.fixed_rows_mut::<4>(0).scale_mut(1.0 / scaling);
},
None => {
console::log_1(&JsValue::from(
format!("No velocity to unpack for fresh element \"{}\"", elt.id)
))
}
};
});
}
// bring the configuration back onto the solution variety. this also
// gets the elements' column indices and the saved tangent space back in
// sync
self.realize();
}
}

View file

@ -1,5 +1,5 @@
use core::array;
use nalgebra::{DMatrix, Rotation3, Vector3};
use nalgebra::{DMatrix, DVector, Rotation3, Vector3};
use sycamore::{prelude::*, motion::create_raf};
use web_sys::{
console,
@ -14,7 +14,7 @@ use web_sys::{
wasm_bindgen::{JsCast, JsValue}
};
use crate::{AppState, assembly::ElementKey};
use crate::{AppState, assembly::{ElementKey, ElementMotion}};
fn compile_shader(
context: &WebGl2RenderingContext,
@ -123,6 +123,16 @@ pub fn Display() -> View {
let zoom_out = create_signal(0.0);
let turntable = create_signal(false); /* BENCHMARKING */
// manipulation
let translate_neg_x = create_signal(0.0);
let translate_pos_x = create_signal(0.0);
let translate_neg_y = create_signal(0.0);
let translate_pos_y = create_signal(0.0);
let translate_neg_z = create_signal(0.0);
let translate_pos_z = create_signal(0.0);
let shrink_neg = create_signal(0.0);
let shrink_pos = create_signal(0.0);
// change listener
let scene_changed = create_signal(true);
create_effect(move || {
@ -141,6 +151,7 @@ pub fn Display() -> View {
let mut frames_since_last_sample = 0;
let mean_frame_interval = create_signal(0.0);
let assembly_for_raf = state.assembly.clone();
on_mount(move || {
// timing
let mut last_time = 0.0;
@ -153,6 +164,10 @@ pub fn Display() -> View {
let mut rotation = DMatrix::<f64>::identity(5, 5);
let mut location_z: f64 = 5.0;
// manipulation
const TRANSLATION_SPEED: f64 = 0.15; // in length units per second
const SHRINKING_SPEED: f64 = 0.15; // in length units per second
// display parameters
const OPACITY: f32 = 0.5; /* SCAFFOLDING */
const HIGHLIGHT: f32 = 0.2; /* SCAFFOLDING */
@ -273,6 +288,16 @@ pub fn Display() -> View {
let zoom_out_val = zoom_out.get();
let turntable_val = turntable.get(); /* BENCHMARKING */
// get the manipulation state
let translate_neg_x_val = translate_neg_x.get();
let translate_pos_x_val = translate_pos_x.get();
let translate_neg_y_val = translate_neg_y.get();
let translate_pos_y_val = translate_pos_y.get();
let translate_neg_z_val = translate_neg_z.get();
let translate_pos_z_val = translate_pos_z.get();
let shrink_neg_val = shrink_neg.get();
let shrink_pos_val = shrink_pos.get();
// update the assembly's orientation
let ang_vel = {
let pitch = pitch_up_val - pitch_down_val;
@ -298,6 +323,44 @@ pub fn Display() -> View {
let zoom = zoom_out_val - zoom_in_val;
location_z *= (time_step * ZOOM_SPEED * zoom).exp();
// manipulate the assembly
if state.selection.with(|sel| sel.len() == 1) {
let sel = state.selection.with(
|sel| *sel.into_iter().next().unwrap()
);
let translate_x = translate_pos_x_val - translate_neg_x_val;
let translate_y = translate_pos_y_val - translate_neg_y_val;
let translate_z = translate_pos_z_val - translate_neg_z_val;
let shrink = shrink_pos_val - shrink_neg_val;
let translating =
translate_x != 0.0
|| translate_y != 0.0
|| translate_z != 0.0;
if translating || shrink != 0.0 {
let elt_motion = {
let u = if translating {
TRANSLATION_SPEED * Vector3::new(
translate_x, translate_y, translate_z
).normalize()
} else {
Vector3::zeros()
};
time_step * DVector::from_column_slice(
&[u[0], u[1], u[2], SHRINKING_SPEED * shrink]
)
};
assembly_for_raf.deform(
vec![
ElementMotion {
key: sel,
velocity: elt_motion.as_view()
}
]
);
scene_changed.set(true);
}
}
if scene_changed.get() {
/* INSTRUMENTS */
// measure mean frame interval
@ -416,7 +479,7 @@ pub fn Display() -> View {
start_animation_loop();
});
let set_nav_signal = move |event: KeyboardEvent, value: f64| {
let set_nav_signal = move |event: &KeyboardEvent, value: f64| {
let mut navigating = true;
let shift = event.shift_key();
match event.key().as_str() {
@ -436,6 +499,25 @@ pub fn Display() -> View {
}
};
let set_manip_signal = move |event: &KeyboardEvent, value: f64| {
let mut manipulating = true;
let shift = event.shift_key();
match event.key().as_str() {
"d" | "D" => translate_pos_x.set(value),
"a" | "A" => translate_neg_x.set(value),
"w" | "W" if shift => translate_neg_z.set(value),
"s" | "S" if shift => translate_pos_z.set(value),
"w" | "W" => translate_pos_y.set(value),
"s" | "S" => translate_neg_y.set(value),
"]" | "}" => shrink_neg.set(value),
"[" | "{" => shrink_pos.set(value),
_ => manipulating = false
};
if manipulating {
event.prevent_default();
}
};
view! {
/* TO DO */
// switch back to integer-valued parameters when that becomes possible
@ -447,6 +529,7 @@ pub fn Display() -> View {
tabindex="0",
on:keydown=move |event: KeyboardEvent| {
if event.key() == "Shift" {
// swap navigation inputs
roll_cw.set(yaw_right.get());
roll_ccw.set(yaw_left.get());
zoom_in.set(pitch_up.get());
@ -455,16 +538,24 @@ pub fn Display() -> View {
yaw_left.set(0.0);
pitch_up.set(0.0);
pitch_down.set(0.0);
// swap manipulation inputs
translate_pos_z.set(translate_neg_y.get());
translate_neg_z.set(translate_pos_y.get());
translate_pos_y.set(0.0);
translate_neg_y.set(0.0);
} else {
if event.key() == "Enter" { /* BENCHMARKING */
turntable.set_fn(|turn| !turn);
scene_changed.set(true);
}
set_nav_signal(event, 1.0);
set_nav_signal(&event, 1.0);
set_manip_signal(&event, 1.0);
}
},
on:keyup=move |event: KeyboardEvent| {
if event.key() == "Shift" {
// swap navigation inputs
yaw_right.set(roll_cw.get());
yaw_left.set(roll_ccw.get());
pitch_up.set(zoom_in.get());
@ -473,8 +564,15 @@ pub fn Display() -> View {
roll_ccw.set(0.0);
zoom_in.set(0.0);
zoom_out.set(0.0);
// swap manipulation inputs
translate_pos_y.set(translate_neg_z.get());
translate_neg_y.set(translate_pos_z.get());
translate_pos_z.set(0.0);
translate_neg_z.set(0.0);
} else {
set_nav_signal(event, 0.0);
set_nav_signal(&event, 0.0);
set_manip_signal(&event, 0.0);
}
},
on:blur=move |_| {

View file

@ -1,5 +1,5 @@
use lazy_static::lazy_static;
use nalgebra::{Const, DMatrix, DVector, Dyn};
use nalgebra::{Const, DMatrix, DVector, DVectorView, Dyn, SymmetricEigen};
use web_sys::{console, wasm_bindgen::JsValue}; /* DEBUG */
// --- elements ---
@ -85,6 +85,92 @@ impl PartialMatrix {
}
}
// --- configuration subspaces ---
#[derive(Clone)]
pub struct ConfigSubspace {
assembly_dim: usize,
basis_std: Vec<DMatrix<f64>>,
basis_proj: Vec<DMatrix<f64>>
}
impl ConfigSubspace {
pub fn zero(assembly_dim: usize) -> ConfigSubspace {
ConfigSubspace {
assembly_dim: assembly_dim,
basis_proj: Vec::new(),
basis_std: Vec::new()
}
}
// approximate the kernel of a symmetric endomorphism of the configuration
// space for `assembly_dim` elements. we consider an eigenvector to be part
// of the kernel if its eigenvalue is smaller than the constant `THRESHOLD`
fn symmetric_kernel(a: DMatrix<f64>, proj_to_std: DMatrix<f64>, assembly_dim: usize) -> ConfigSubspace {
// find a basis for the kernel. the basis is expressed in the projection
// coordinates, and it's orthonormal with respect to the projection
// inner product
const THRESHOLD: f64 = 0.1;
let eig = SymmetricEigen::new(proj_to_std.tr_mul(&a) * &proj_to_std);
let eig_vecs = eig.eigenvectors.column_iter();
let eig_pairs = eig.eigenvalues.iter().zip(eig_vecs);
let basis_proj = DMatrix::from_columns(
eig_pairs.filter_map(
|(λ, v)| (λ.abs() < THRESHOLD).then_some(v)
).collect::<Vec<_>>().as_slice()
);
/* DEBUG */
// print the eigenvalues
#[cfg(all(target_family = "wasm", target_os = "unknown"))]
console::log_1(&JsValue::from(
format!("Eigenvalues used to find kernel:{}", eig.eigenvalues)
));
// express the basis in the standard coordinates
let basis_std = proj_to_std * &basis_proj;
const ELEMENT_DIM: usize = 5;
const UNIFORM_DIM: usize = 4;
ConfigSubspace {
assembly_dim: assembly_dim,
basis_std: basis_std.column_iter().map(
|v| Into::<DMatrix<f64>>::into(
v.reshape_generic(Dyn(ELEMENT_DIM), Dyn(assembly_dim))
)
).collect(),
basis_proj: basis_proj.column_iter().map(
|v| Into::<DMatrix<f64>>::into(
v.reshape_generic(Dyn(UNIFORM_DIM), Dyn(assembly_dim))
)
).collect()
}
}
pub fn dim(&self) -> usize {
self.basis_std.len()
}
pub fn assembly_dim(&self) -> usize {
self.assembly_dim
}
// find the projection onto this subspace of the motion where the element
// with the given column index has velocity `v`. the velocity is given in
// projection coordinates, and the projection is done with respect to the
// projection inner product
pub fn proj(&self, v: &DVectorView<f64>, column_index: usize) -> DMatrix<f64> {
if self.dim() == 0 {
const ELEMENT_DIM: usize = 5;
DMatrix::zeros(ELEMENT_DIM, self.assembly_dim)
} else {
self.basis_proj.iter().zip(self.basis_std.iter()).map(
|(b_proj, b_std)| b_proj.column(column_index).dot(&v) * b_std
).sum()
}
}
}
// --- descent history ---
pub struct DescentHistory {
@ -146,6 +232,37 @@ fn basis_matrix(index: (usize, usize), nrows: usize, ncols: usize) -> DMatrix<f6
result
}
// given a normalized vector `v` representing an element, build a basis for the
// element's linear configuration space consisting of:
// - the unit translation motions of the element
// - the unit shrinking motion of the element, if it's a sphere
// - one or two vectors whose coefficients vanish on the tangent space of the
// normalization variety
pub fn local_unif_to_std(v: DVectorView<f64>) -> DMatrix<f64> {
const ELEMENT_DIM: usize = 5;
const UNIFORM_DIM: usize = 4;
let curv = 2.0*v[3];
if v.dot(&(&*Q * v)) < 0.5 {
// `v` represents a point. the normalization condition says that the
// curvature component of `v` is 1/2
DMatrix::from_column_slice(ELEMENT_DIM, UNIFORM_DIM, &[
curv, 0.0, 0.0, 0.0, v[0],
0.0, curv, 0.0, 0.0, v[1],
0.0, 0.0, curv, 0.0, v[2],
0.0, 0.0, 0.0, 0.0, 1.0
])
} else {
// `v` represents a sphere. the normalization condition says that the
// Lorentz product of `v` with itself is 1
DMatrix::from_column_slice(ELEMENT_DIM, UNIFORM_DIM, &[
curv, 0.0, 0.0, 0.0, v[0],
0.0, curv, 0.0, 0.0, v[1],
0.0, 0.0, curv, 0.0, v[2],
curv*v[0], curv*v[1], curv*v[2], curv*v[3], curv*v[4] + 1.0
])
}
}
// use backtracking line search to find a better configuration
fn seek_better_config(
gram: &PartialMatrix,
@ -181,7 +298,7 @@ pub fn realize_gram(
reg_scale: f64,
max_descent_steps: i32,
max_backoff_steps: i32
) -> (DMatrix<f64>, bool, DescentHistory) {
) -> (DMatrix<f64>, ConfigSubspace, bool, DescentHistory) {
// start the descent history
let mut history = DescentHistory::new();
@ -201,12 +318,8 @@ pub fn realize_gram(
// use Newton's method with backtracking and gradient descent backup
let mut state = SearchState::from_config(gram, guess);
let mut hess = DMatrix::zeros(element_dim, assembly_dim);
for _ in 0..max_descent_steps {
// stop if the loss is tolerably low
history.config.push(state.config.clone());
history.scaled_loss.push(state.loss / scale_adjustment);
if state.loss < tol { break; }
// find the negative gradient of the loss function
let neg_grad = 4.0 * &*Q * &state.config * &state.err_proj;
let mut neg_grad_stacked = neg_grad.clone().reshape_generic(Dyn(total_dim), Const::<1>);
@ -229,7 +342,7 @@ pub fn realize_gram(
hess_cols.push(deriv_grad.reshape_generic(Dyn(total_dim), Const::<1>));
}
}
let mut hess = DMatrix::from_columns(hess_cols.as_slice());
hess = DMatrix::from_columns(hess_cols.as_slice());
// regularize the Hessian
let min_eigval = hess.symmetric_eigenvalues().min();
@ -249,6 +362,11 @@ pub fn realize_gram(
hess[(k, k)] = 1.0;
}
// stop if the loss is tolerably low
history.config.push(state.config.clone());
history.scaled_loss.push(state.loss / scale_adjustment);
if state.loss < tol { break; }
// compute the Newton step
/*
we need to either handle or eliminate the case where the minimum
@ -256,7 +374,7 @@ pub fn realize_gram(
singular. right now, this causes the Cholesky decomposition to return
`None`, leading to a panic when we unrap
*/
let base_step_stacked = hess.cholesky().unwrap().solve(&neg_grad_stacked);
let base_step_stacked = hess.clone().cholesky().unwrap().solve(&neg_grad_stacked);
let base_step = base_step_stacked.reshape_generic(Dyn(element_dim), Dyn(assembly_dim));
history.base_step.push(base_step.clone());
@ -269,10 +387,28 @@ pub fn realize_gram(
state = better_state;
history.backoff_steps.push(backoff_steps);
},
None => return (state.config, false, history)
None => return (state.config, ConfigSubspace::zero(assembly_dim), false, history)
};
}
(state.config, state.loss < tol, history)
let success = state.loss < tol;
let tangent = if success {
// express the uniform basis in the standard basis
const UNIFORM_DIM: usize = 4;
let total_dim_unif = UNIFORM_DIM * assembly_dim;
let mut unif_to_std = DMatrix::<f64>::zeros(total_dim, total_dim_unif);
for n in 0..assembly_dim {
let block_start = (element_dim * n, UNIFORM_DIM * n);
unif_to_std
.view_mut(block_start, (element_dim, UNIFORM_DIM))
.copy_from(&local_unif_to_std(state.config.column(n)));
}
// find the kernel of the Hessian. give it the uniform inner product
ConfigSubspace::symmetric_kernel(hess, unif_to_std, assembly_dim)
} else {
ConfigSubspace::zero(assembly_dim)
};
(state.config, tangent, success, history)
}
// --- tests ---
@ -291,7 +427,7 @@ pub mod irisawa {
use super::*;
pub fn realize_irisawa_hexlet(scaled_tol: f64) -> (DMatrix<f64>, bool, DescentHistory) {
pub fn realize_irisawa_hexlet(scaled_tol: f64) -> (DMatrix<f64>, ConfigSubspace, bool, DescentHistory) {
let gram = {
let mut gram_to_be = PartialMatrix::new();
for s in 0..9 {
@ -348,6 +484,9 @@ pub mod irisawa {
#[cfg(test)]
mod tests {
use nalgebra::Vector3;
use std::{array, f64::consts::{FRAC_1_SQRT_2, PI}, iter};
use super::{*, irisawa::realize_irisawa_hexlet};
#[test]
@ -399,7 +538,7 @@ mod tests {
fn irisawa_hexlet_test() {
// solve Irisawa's problem
const SCALED_TOL: f64 = 1.0e-12;
let (config, _, _) = realize_irisawa_hexlet(SCALED_TOL);
let (config, _, _, _) = realize_irisawa_hexlet(SCALED_TOL);
// check against Irisawa's solution
let entry_tol = SCALED_TOL.sqrt();
@ -409,6 +548,285 @@ mod tests {
}
}
#[test]
fn tangent_test_three_spheres() {
const SCALED_TOL: f64 = 1.0e-12;
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 = DMatrix::from_columns(&[
sphere(0.0, 0.0, 0.0, -2.0),
sphere(0.0, 0.0, 1.0, 1.0),
sphere(0.0, 0.0, -1.0, 1.0)
]);
let frozen: [_; 5] = std::array::from_fn(|k| (k, 0));
let (config, tangent, success, history) = realize_gram(
&gram, guess.clone(), &frozen,
SCALED_TOL, 0.5, 0.9, 1.1, 200, 110
);
assert_eq!(config, guess);
assert_eq!(success, true);
assert_eq!(history.scaled_loss.len(), 1);
// confirm that the tangent space has dimension five or less
assert_eq!(tangent.basis_std.len(), 5);
// confirm that the tangent space contains all the motions we expect it
// to. since we've already bounded the dimension of the tangent space,
// this confirms that the tangent space is what we expect it to be
const UNIFORM_DIM: usize = 4;
let element_dim = guess.nrows();
let assembly_dim = guess.ncols();
let tangent_motions_unif = vec![
basis_matrix((0, 1), UNIFORM_DIM, assembly_dim),
basis_matrix((1, 1), UNIFORM_DIM, assembly_dim),
basis_matrix((0, 2), UNIFORM_DIM, assembly_dim),
basis_matrix((1, 2), UNIFORM_DIM, assembly_dim),
DMatrix::<f64>::from_column_slice(UNIFORM_DIM, assembly_dim, &[
0.0, 0.0, 0.0, 0.0,
0.0, 0.0, -0.5, -0.5,
0.0, 0.0, -0.5, 0.5
])
];
let tangent_motions_std = vec![
basis_matrix((0, 1), element_dim, assembly_dim),
basis_matrix((1, 1), element_dim, assembly_dim),
basis_matrix((0, 2), element_dim, assembly_dim),
basis_matrix((1, 2), element_dim, assembly_dim),
DMatrix::<f64>::from_column_slice(element_dim, assembly_dim, &[
0.0, 0.0, 0.0, 0.00, 0.0,
0.0, 0.0, -1.0, -0.25, -1.0,
0.0, 0.0, -1.0, 0.25, 1.0
])
];
let tol_sq = ((element_dim * assembly_dim) as f64) * SCALED_TOL * SCALED_TOL;
for (motion_unif, motion_std) in tangent_motions_unif.into_iter().zip(tangent_motions_std) {
let motion_proj: DMatrix<_> = motion_unif.column_iter().enumerate().map(
|(k, v)| tangent.proj(&v, k)
).sum();
assert!((motion_std - motion_proj).norm_squared() < tol_sq);
}
}
fn translation_motion_unif(vel: &Vector3<f64>, assembly_dim: usize) -> Vec<DVector<f64>> {
let mut elt_motion = DVector::zeros(4);
elt_motion.fixed_rows_mut::<3>(0).copy_from(vel);
iter::repeat(elt_motion).take(assembly_dim).collect()
}
fn rotation_motion_unif(ang_vel: &Vector3<f64>, points: Vec<DVectorView<f64>>) -> Vec<DVector<f64>> {
points.into_iter().map(
|pt| {
let vel = ang_vel.cross(&pt.fixed_rows::<3>(0));
let mut elt_motion = DVector::zeros(4);
elt_motion.fixed_rows_mut::<3>(0).copy_from(&vel);
elt_motion
}
).collect()
}
#[test]
fn tangent_test_kaleidocycle() {
// set up a kaleidocycle, made of points with fixed distances between
// them, and find its tangent space
const N_POINTS: usize = 12;
const N_HINGES: usize = 6;
const SCALED_TOL: f64 = 1.0e-12;
let gram = {
let mut gram_to_be = PartialMatrix::new();
for block in (0..N_POINTS).step_by(2) {
let block_next = (block + 2) % N_POINTS;
for j in 0..2 {
// diagonal and hinge edges
for k in j..2 {
gram_to_be.push_sym(block + j, block + k, if j == k { 0.0 } else { -0.5 });
}
// non-hinge edges
for k in 0..2 {
gram_to_be.push_sym(block + j, block_next + k, -0.625);
}
}
}
gram_to_be
};
let guess = {
let guess_elts = (0..N_HINGES).step_by(2).flat_map(
|n| {
let ang_hor = (n as f64) * PI/3.0;
let ang_vert = ((n + 1) as f64) * PI/3.0;
let x_vert = ang_vert.cos();
let y_vert = ang_vert.sin();
[
point(0.0, 0.0, 0.0),
point(ang_hor.cos(), ang_hor.sin(), 0.0),
point(x_vert, y_vert, -0.5),
point(x_vert, y_vert, 0.5)
]
}
).collect::<Vec<_>>();
DMatrix::from_columns(&guess_elts)
};
let frozen: [_; N_POINTS] = array::from_fn(|k| (3, k));
let (config, tangent, success, history) = realize_gram(
&gram, guess.clone(), &frozen,
SCALED_TOL, 0.5, 0.9, 1.1, 200, 110
);
assert_eq!(config, guess);
assert_eq!(success, true);
assert_eq!(history.scaled_loss.len(), 1);
// list some motions that should form a basis for the tangent space of
// the solution variety
let element_dim = guess.nrows();
let assembly_dim = guess.ncols();
let tangent_motions_unif = vec![
// the translations along the coordinate axes
translation_motion_unif(&Vector3::new(1.0, 0.0, 0.0), assembly_dim),
translation_motion_unif(&Vector3::new(0.0, 1.0, 0.0), assembly_dim),
translation_motion_unif(&Vector3::new(0.0, 0.0, 1.0), assembly_dim),
// the rotations about the coordinate axes
rotation_motion_unif(&Vector3::new(1.0, 0.0, 0.0), guess.column_iter().collect()),
rotation_motion_unif(&Vector3::new(0.0, 1.0, 0.0), guess.column_iter().collect()),
rotation_motion_unif(&Vector3::new(0.0, 0.0, 1.0), guess.column_iter().collect()),
// the twist motion. more precisely: a motion that keeps the center
// of mass stationary and preserves the distances between the
// vertices to first order. this has to be the twist as long as:
// - twisting is the kaleidocycle's only internal degree of
// freedom
// - every first-order motion of the kaleidocycle comes from an
// actual motion
(0..N_HINGES).step_by(2).flat_map(
|n| {
let ang_vert = ((n + 1) as f64) * PI/3.0;
let vel_vert_x = 4.0 * ang_vert.cos();
let vel_vert_y = 4.0 * ang_vert.sin();
[
DVector::from_column_slice(&[0.0, 0.0, 5.0, 0.0]),
DVector::from_column_slice(&[0.0, 0.0, 1.0, 0.0]),
DVector::from_column_slice(&[-vel_vert_x, -vel_vert_y, -3.0, 0.0]),
DVector::from_column_slice(&[vel_vert_x, vel_vert_y, -3.0, 0.0])
]
}
).collect::<Vec<_>>()
];
let tangent_motions_std = tangent_motions_unif.iter().map(
|motion| DMatrix::from_columns(
&guess.column_iter().zip(motion).map(
|(v, elt_motion)| local_unif_to_std(v) * elt_motion
).collect::<Vec<_>>()
)
).collect::<Vec<_>>();
// confirm that the dimension of the tangent space is no greater than
// expected
assert_eq!(tangent.basis_std.len(), tangent_motions_unif.len());
// confirm that the tangent space contains all the motions we expect it
// to. since we've already bounded the dimension of the tangent space,
// this confirms that the tangent space is what we expect it to be
let tol_sq = ((element_dim * assembly_dim) as f64) * SCALED_TOL * SCALED_TOL;
for (motion_unif, motion_std) in tangent_motions_unif.into_iter().zip(tangent_motions_std) {
let motion_proj: DMatrix<_> = motion_unif.into_iter().enumerate().map(
|(k, v)| tangent.proj(&v.as_view(), k)
).sum();
assert!((motion_std - motion_proj).norm_squared() < tol_sq);
}
}
fn translation(dis: Vector3<f64>) -> DMatrix<f64> {
const ELEMENT_DIM: usize = 5;
DMatrix::from_column_slice(ELEMENT_DIM, ELEMENT_DIM, &[
1.0, 0.0, 0.0, 0.0, dis[0],
0.0, 1.0, 0.0, 0.0, dis[1],
0.0, 0.0, 1.0, 0.0, dis[2],
2.0*dis[0], 2.0*dis[1], 2.0*dis[2], 1.0, dis.norm_squared(),
0.0, 0.0, 0.0, 0.0, 1.0
])
}
// confirm that projection onto a configuration subspace is equivariant with
// respect to Euclidean motions
#[test]
fn proj_equivar_test() {
// find a pair of spheres that meet at 120°
const SCALED_TOL: f64 = 1.0e-12;
let gram = {
let mut gram_to_be = PartialMatrix::new();
gram_to_be.push_sym(0, 0, 1.0);
gram_to_be.push_sym(1, 1, 1.0);
gram_to_be.push_sym(0, 1, 0.5);
gram_to_be
};
let guess_orig = DMatrix::from_columns(&[
sphere(0.0, 0.0, 0.5, 1.0),
sphere(0.0, 0.0, -0.5, 1.0)
]);
let (config_orig, tangent_orig, success_orig, history_orig) = realize_gram(
&gram, guess_orig.clone(), &[],
SCALED_TOL, 0.5, 0.9, 1.1, 200, 110
);
assert_eq!(config_orig, guess_orig);
assert_eq!(success_orig, true);
assert_eq!(history_orig.scaled_loss.len(), 1);
// find another pair of spheres that meet at 120°. we'll think of this
// solution as a transformed version of the original one
let guess_tfm = {
let a = 0.5 * FRAC_1_SQRT_2;
DMatrix::from_columns(&[
sphere(a, 0.0, 7.0 + a, 1.0),
sphere(-a, 0.0, 7.0 - a, 1.0)
])
};
let (config_tfm, tangent_tfm, success_tfm, history_tfm) = realize_gram(
&gram, guess_tfm.clone(), &[],
SCALED_TOL, 0.5, 0.9, 1.1, 200, 110
);
assert_eq!(config_tfm, guess_tfm);
assert_eq!(success_tfm, true);
assert_eq!(history_tfm.scaled_loss.len(), 1);
// project a nudge to the tangent space of the solution variety at the
// original solution
let motion_orig = DVector::from_column_slice(&[0.0, 0.0, 1.0, 0.0]);
let motion_orig_proj = tangent_orig.proj(&motion_orig.as_view(), 0);
// project the equivalent nudge to the tangent space of the solution
// variety at the transformed solution
let motion_tfm = DVector::from_column_slice(&[FRAC_1_SQRT_2, 0.0, FRAC_1_SQRT_2, 0.0]);
let motion_tfm_proj = tangent_tfm.proj(&motion_tfm.as_view(), 0);
// take the transformation that sends the original solution to the
// transformed solution and apply it to the motion that the original
// solution makes in response to the nudge
const ELEMENT_DIM: usize = 5;
let rot = DMatrix::from_column_slice(ELEMENT_DIM, ELEMENT_DIM, &[
FRAC_1_SQRT_2, 0.0, -FRAC_1_SQRT_2, 0.0, 0.0,
0.0, 1.0, 0.0, 0.0, 0.0,
FRAC_1_SQRT_2, 0.0, FRAC_1_SQRT_2, 0.0, 0.0,
0.0, 0.0, 0.0, 1.0, 0.0,
0.0, 0.0, 0.0, 0.0, 1.0
]);
let transl = translation(Vector3::new(0.0, 0.0, 7.0));
let motion_proj_tfm = transl * rot * motion_orig_proj;
// confirm that the projection of the nudge is equivariant. we loosen
// the comparison tolerance because the transformation seems to
// introduce some numerical error
const SCALED_TOL_TFM: f64 = 1.0e-9;
let tol_sq = ((guess_orig.nrows() * guess_orig.ncols()) as f64) * SCALED_TOL_TFM * SCALED_TOL_TFM;
assert!((motion_proj_tfm - motion_tfm_proj).norm_squared() < tol_sq);
}
// at the frozen indices, the optimization steps should have exact zeros,
// and the realized configuration should match the initial guess
#[test]
@ -428,7 +846,7 @@ mod tests {
]);
let frozen = [(3, 0), (3, 1)];
println!();
let (config, success, history) = realize_gram(
let (config, _, success, history) = realize_gram(
&gram, guess.clone(), &frozen,
1.0e-12, 0.5, 0.9, 1.1, 200, 110
);

View file

@ -46,6 +46,10 @@ impl AppState {
}
fn main() {
// set the console error panic hook
#[cfg(feature = "console_error_panic_hook")]
console_error_panic_hook::set_once();
sycamore::render(|| {
provide_context(AppState::new());

View file

@ -64,11 +64,16 @@ fn ElementOutlineItem(key: ElementKey, element: assembly::Element) -> View {
move |sel| if sel.contains(&key) { "selected" } else { "" }
);
let label = element.label.clone();
let rep_components = element.representation.map(
|rep| rep.iter().map(
|u| format!("{:.3}", u).replace("-", "\u{2212}")
).collect()
);
let rep_components = move || {
element.representation.with(
|rep| rep.iter().map(
|u| {
let u_str = format!("{:.3}", u).replace("-", "\u{2212}");
view! { div { (u_str) } }
}
).collect::<Vec<_>>()
)
};
let constrained = element.constraints.map(|csts| csts.len() > 0);
let constraint_list = element.constraints.map(
|csts| csts.clone().into_iter().collect()
@ -129,14 +134,7 @@ fn ElementOutlineItem(key: ElementKey, element: assembly::Element) -> View {
}
) {
div(class="element-label") { (label) }
div(class="element-representation") {
Indexed(
list=rep_components,
view=|coord_str| view! {
div { (coord_str) }
}
)
}
div(class="element-representation") { (rep_components) }
div(class="status")
}
}