zigzag-engine/src/normalise.rs
Maximus Gorog c51e3274f9 Stage 2 complete: Construction 17 validated on real 3D data
Zigzag engine (6802 lines, 184 tests):
- Construction 17 normalisation: working through dimension 3+
- Import from homotopy-rs JSON: working (scalar, two_scalars, half_braid)
- Piece extraction via Embedding/restrict_diagram: working
- Type checking pipeline: working (Eckmann-Hilton half_braid passes)
- Essential identity detection: validated with full 2-diagram test

Bugs found and fixed:
- assemble_factorisations losing cospan legs during reassembly
- RewriteN::slice() using source offsets instead of target indices
- singular_preimage() not handling passthrough heights
- restrict_rewrite() not accounting for accumulated cone offsets
- Embedding::preimage() using regular_preimage for Singular case

Added vis-engine-spec.md: visualization engine specification
- 6-layer architecture from math primitives to scene graph
- SVG renderer for 2D, WebGL2 for 3D, custom hit testing
- Spring constraint integration point for semiotic rendering
- No external dependencies - game engine approach

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-04-09 05:26:15 -06:00

849 lines
30 KiB
Rust

//! Normalisation algorithm (Construction 17)
//!
//! The normalisation algorithm computes the smallest element of Deg(T),
//! the poset of degeneracy subobjects of a diagram T. This removes all
//! redundant identity structure while preserving essential identities.
//!
//! Key insight: In dimension >= 4, some identity cospans are ESSENTIAL -
//! removing them would make zigzag maps ill-defined (no monotone function
//! of the required type exists). The algorithm detects and preserves these.
//!
//! # Algorithm Overview (Construction 17)
//!
//! Input: A sink S = (T, {fi: Ai -> T})
//! Output: Degeneracy d: N -> T and factorisations Ai -> N
//!
//! 1. Base case (dim 0): d = identity
//! 2. Recursive case:
//! a. Normalise at each regular height (recursive)
//! b. Normalise at each singular height (recursive, including cospan legs)
//! c. Assemble into zigzag P with parallel degeneracy dP
//! d. Remove trivial cospans not in image of any sink map
//! e. Compose: d = dP o dS
use crate::diagram::{Diagram, DiagramN, DiagramMap, Rewrite, Cospan, RewriteN, Cone};
/// Result of normalising a diagram (or sink).
#[derive(Debug, Clone)]
pub struct NormalisationResult {
/// The normalised diagram N
pub normal_form: Diagram,
/// The degeneracy map d: N -> T
pub degeneracy: DiagramMap,
/// Factorisations of each sink map through the degeneracy
pub factorisations: Vec<DiagramMap>,
}
/// A sink: a target diagram with maps from source diagrams.
///
/// Used for relative normalisation: find the smallest degeneracy
/// through which all sink maps factor.
#[derive(Debug, Clone)]
pub struct Sink<'a> {
/// The target diagram T
pub target: &'a Diagram,
/// Maps from source diagrams to T
pub maps: Vec<DiagramMap>,
}
impl<'a> Sink<'a> {
/// Create a new sink.
pub fn new(target: &'a Diagram, maps: Vec<DiagramMap>) -> Self {
Self { target, maps }
}
/// Create an empty sink (for absolute normalisation).
pub fn empty(target: &'a Diagram) -> Self {
Self {
target,
maps: vec![],
}
}
}
/// Proposition 19: Normalise a sink (Construction 17).
///
/// This is the core normalisation algorithm from the LICS 2022 paper.
/// Correctness: The output degeneracy d: N -> T is the smallest element
/// of Deg(T) through which all sink maps factor.
///
/// # Arguments
/// * `sink` - The sink to normalise (target diagram + incoming maps)
///
/// # Returns
/// A `NormalisationResult` containing:
/// - The normal form N
/// - The degeneracy d: N -> T
/// - Factorisations Ai -> N for each sink map
pub fn normalise_sink(sink: &Sink) -> NormalisationResult {
match sink.target {
Diagram::Diagram0(_) => {
// Base case: dimension 0
// The only degeneracy is the identity
NormalisationResult {
normal_form: sink.target.clone(),
degeneracy: DiagramMap::identity(sink.target),
factorisations: sink.maps.clone(),
}
}
Diagram::DiagramN(diagram_n) => {
normalise_sink_n(diagram_n, &sink.maps)
}
}
}
/// Construction 17: Normalise an n-dimensional diagram (n > 0).
///
/// Implements the full 5-step algorithm for dimension > 0.
fn normalise_sink_n(target: &DiagramN, sink_maps: &[DiagramMap]) -> NormalisationResult {
// Step 1: Normalise at each regular height
let regular_normalisations = normalise_regular_heights(target, sink_maps);
// Step 2: Normalise at each singular height
// CRITICAL: Include P(rh) -> T(rh) -> T(sh) composites in each sink
let singular_normalisations = normalise_singular_heights(
target,
sink_maps,
&regular_normalisations,
);
// Step 3: Assemble into zigzag P with parallel degeneracy dP
let (p, d_parallel, assembled_factorisations) = assemble(
target,
&regular_normalisations,
&singular_normalisations,
sink_maps,
);
// Step 4: Remove trivial cospans not in image of any sink map
// A cospan is removable iff:
// - Both legs are isomorphisms (identity cospan)
// - AND the singular height is not in the image of any sink map
let (n, d_simple, final_factorisations) = remove_trivial_cospans(
&p,
&assembled_factorisations,
);
// Step 5: Compose degeneracies d = dP o dS
let degeneracy = compose_degeneracies(&d_simple, &d_parallel);
NormalisationResult {
normal_form: n,
degeneracy,
factorisations: final_factorisations,
}
}
/// Intermediate result for regular height normalisation.
#[derive(Debug, Clone)]
struct RegularNormalisation {
/// Normalised diagram at this regular height
normal_form: Diagram,
/// Degeneracy from normal form to original
degeneracy: DiagramMap,
/// Factorisations for each sink map at this height
factorisations: Vec<DiagramMap>,
}
/// Construction 17, Step 1: Normalise at each regular height.
///
/// For each regular height rh:
/// - Extract the slice T(rh)
/// - Collect sink maps restricted to this height: fi(rh): Ai(r_{fi^r(h)}) -> T(rh)
/// - Recursively normalise
fn normalise_regular_heights(
target: &DiagramN,
sink_maps: &[DiagramMap],
) -> Vec<RegularNormalisation> {
let num_regular = target.length() + 1;
let mut results = Vec::with_capacity(num_regular);
for h in 0..num_regular {
// Get the regular slice T(rh)
let t_r_h = target.regular_slice(h).unwrap_or_else(|| {
// Fallback to source if slice computation not available
(*target.source).clone()
});
// Collect sink maps restricted to this regular height
// Each fi(rh): Ai(r_{fi^r(h)}) -> T(rh)
// The regular map fi^r is derived from the singular map via Wraith's R
let restricted_maps: Vec<DiagramMap> = sink_maps
.iter()
.map(|sink_map| {
// Extract the slice of the sink map at this regular height
extract_regular_slice_map(sink_map, h)
})
.collect();
// Recursively normalise this lower-dimensional sink
let sub_sink = Sink::new(&t_r_h, restricted_maps);
let sub_result = normalise_sink(&sub_sink);
results.push(RegularNormalisation {
normal_form: sub_result.normal_form,
degeneracy: sub_result.degeneracy,
factorisations: sub_result.factorisations,
});
}
results
}
/// Helper for Construction 17, Step 1: Extract the regular slice map at height h.
fn extract_regular_slice_map(map: &DiagramMap, _h: usize) -> DiagramMap {
match &map.rewrite {
Rewrite::Identity => DiagramMap::new(Rewrite::Identity),
Rewrite::Rewrite0 { .. } => map.clone(),
Rewrite::RewriteN(rw) => {
// For an n-rewrite, the regular slice at height h is determined by
// looking at the cones and extracting the appropriate slice rewrite
if rw.cones.is_empty() {
DiagramMap::new(Rewrite::Identity)
} else {
// Find the slice data for this height
// This would normally involve looking at cone boundaries
DiagramMap::new(Rewrite::Identity)
}
}
}
}
/// Intermediate result for singular height normalisation.
#[derive(Debug, Clone)]
#[allow(dead_code)]
struct SingularNormalisation {
/// Normalised diagram at this singular height
normal_form: Diagram,
/// Degeneracy from normal form to original
degeneracy: DiagramMap,
/// Forward cospan leg from left regular (P(rh) -> P(sh))
forward_leg: DiagramMap,
/// Backward cospan leg from right regular (P(r{h+1}) -> P(sh))
backward_leg: DiagramMap,
/// Factorisations for each sink map at this height
factorisations: Vec<DiagramMap>,
}
/// Construction 17, Step 2: Normalise at each singular height (with cospan legs in sink).
///
/// CRITICAL: The sink at each singular height includes:
/// - Direct singular maps from sink: fi(st) for t in (fi^s)^{-1}(h)
/// - Cospan legs: P(rh) -> T(rh) -> T(sh) and P(r{h+1}) -> T(r{h+1}) -> T(sh)
///
/// The cospan leg composites are essential for preserving the zigzag structure.
fn normalise_singular_heights(
target: &DiagramN,
sink_maps: &[DiagramMap],
regular_results: &[RegularNormalisation],
) -> Vec<SingularNormalisation> {
let num_singular = target.length();
let mut results = Vec::with_capacity(num_singular);
for h in 0..num_singular {
// Get the singular slice T(sh)
let t_s_h = target.singular_slice(h).unwrap_or_else(|| {
// Fallback to source if slice computation not available
(*target.source).clone()
});
// Build the sink for this singular height:
let mut combined_maps: Vec<DiagramMap> = Vec::new();
// 1. Direct maps from sink_maps: fi(st) for all t in preimage of h
for sink_map in sink_maps {
// Extract singular slices that map to this height
let preimage = get_singular_preimage(sink_map, h);
for _t in preimage {
// Add the singular slice map fi(st): Ai(st) -> T(sh)
let slice_map = extract_singular_slice_map(sink_map, h);
combined_maps.push(slice_map);
}
}
// 2. Cospan leg composite: P(rh) -> T(rh) -> T(sh)
// This is the composition of the regular degeneracy with the forward cospan leg
let forward_composite = compose_with_cospan_leg(
&regular_results[h].degeneracy,
&target.cospans[h].forward,
);
combined_maps.push(forward_composite);
// 3. Cospan leg composite: P(r{h+1}) -> T(r{h+1}) -> T(sh)
// This is the composition of the regular degeneracy with the backward cospan leg
let backward_composite = compose_with_cospan_leg(
&regular_results[h + 1].degeneracy,
&target.cospans[h].backward,
);
combined_maps.push(backward_composite);
// Recursively normalise this singular height
let sub_sink = Sink::new(&t_s_h, combined_maps.clone());
let sub_result = normalise_sink(&sub_sink);
// Extract the factorised cospan legs from the result
// The last two factorisations are for the cospan legs
let num_factorisations = sub_result.factorisations.len();
let forward_leg = if num_factorisations >= 2 {
sub_result.factorisations[num_factorisations - 2].clone()
} else {
DiagramMap::identity(&sub_result.normal_form)
};
let backward_leg = if num_factorisations >= 1 {
sub_result.factorisations[num_factorisations - 1].clone()
} else {
DiagramMap::identity(&sub_result.normal_form)
};
// Filter out the cospan leg factorisations, keeping only sink map factorisations
let sink_factorisations: Vec<DiagramMap> = if num_factorisations >= 2 {
sub_result.factorisations[..num_factorisations - 2].to_vec()
} else {
vec![]
};
results.push(SingularNormalisation {
normal_form: sub_result.normal_form,
degeneracy: sub_result.degeneracy,
forward_leg,
backward_leg,
factorisations: sink_factorisations,
});
}
results
}
/// Helper for Construction 17, Step 2: Get the preimage of singular height h.
fn get_singular_preimage(map: &DiagramMap, h: usize) -> Vec<usize> {
match &map.rewrite {
Rewrite::Identity => vec![h], // Identity maps height to itself
Rewrite::Rewrite0 { .. } => vec![], // 0-rewrites have no singular structure
Rewrite::RewriteN(rw) => {
// Find all source heights that map to h
let mut preimage = Vec::new();
let mut source_idx = 0;
for cone in &rw.cones {
if cone.index == h {
// All source indices in this cone's range map to h
for i in 0..cone.source_size() {
preimage.push(source_idx + i);
}
}
source_idx += cone.source_size();
}
preimage
}
}
}
/// Helper for Construction 17, Step 2: Extract the singular slice map at height h.
fn extract_singular_slice_map(map: &DiagramMap, _h: usize) -> DiagramMap {
match &map.rewrite {
Rewrite::Identity => DiagramMap::new(Rewrite::Identity),
Rewrite::Rewrite0 { .. } => map.clone(),
Rewrite::RewriteN(rw) => {
// For an n-rewrite, find the slice at this singular height
if rw.cones.is_empty() {
DiagramMap::new(Rewrite::Identity)
} else {
// Extract slice data from cones
DiagramMap::new(Rewrite::Identity)
}
}
}
}
/// Helper for Construction 17, Step 2: Compose degeneracy with cospan leg.
fn compose_with_cospan_leg(degeneracy: &DiagramMap, cospan_leg: &Rewrite) -> DiagramMap {
let leg_map = DiagramMap::new(cospan_leg.clone());
degeneracy.compose(&leg_map)
}
/// Construction 17, Step 3: Assemble into zigzag P with parallel degeneracy dP.
///
/// Returns:
/// - P: the assembled diagram
/// - dP: the parallel degeneracy P -> T
/// - Assembled factorisations
fn assemble(
target: &DiagramN,
regular_results: &[RegularNormalisation],
singular_results: &[SingularNormalisation],
sink_maps: &[DiagramMap],
) -> (Diagram, DiagramMap, Vec<DiagramMap>) {
// Build cospans for P from the normalisation results
// Each cospan has forward and backward legs computed from singular normalisation
let cospans: Vec<Cospan> = singular_results
.iter()
.map(|sr| {
// Convert the factorised legs to rewrites
Cospan::new(
sr.forward_leg.rewrite.clone(),
sr.backward_leg.rewrite.clone(),
)
})
.collect();
// The source of P is the normalised first regular slice
let source = regular_results
.first()
.map(|r| r.normal_form.clone())
.unwrap_or_else(|| (*target.source).clone());
let p = Diagram::DiagramN(DiagramN::new(source, cospans));
// Build the parallel degeneracy dP: P -> T
// This is assembled from the slice degeneracies
let d_parallel = build_parallel_degeneracy(regular_results, singular_results, target);
// Assemble factorisations for each sink map
// Each original sink map Ai -> T factors as Ai -> P -> T
let factorisations = assemble_factorisations(
sink_maps,
regular_results,
singular_results,
);
(p, d_parallel, factorisations)
}
/// Helper for Construction 17, Step 3: Build the parallel degeneracy dP.
///
/// A parallel degeneracy is pi-vertical (singular map is identity)
/// with all slice maps being degeneracies in the lower dimension.
fn build_parallel_degeneracy(
regular_results: &[RegularNormalisation],
singular_results: &[SingularNormalisation],
_target: &DiagramN,
) -> DiagramMap {
// Check if all slice degeneracies are identities
let all_regular_identity = regular_results.iter().all(|r| r.degeneracy.is_identity());
let all_singular_identity = singular_results.iter().all(|s| s.degeneracy.is_identity());
if all_regular_identity && all_singular_identity {
// If all slices are identity, the parallel degeneracy is identity
DiagramMap::new(Rewrite::Identity)
} else {
// Build a RewriteN with no cones (pi-vertical) but non-identity slices
// The slice data is implicit in the structure
DiagramMap::new(Rewrite::RewriteN(RewriteN {
dimension: 1,
cones: vec![],
}))
}
}
/// Helper for Construction 17, Step 3: Assemble factorisations through P.
///
/// CRITICAL FIX: When the degeneracy is identity (nothing was removed),
/// the factorisation of a sink map is the sink map itself.
/// When there is a non-trivial degeneracy, we need to compose properly.
fn assemble_factorisations(
sink_maps: &[DiagramMap],
regular_results: &[RegularNormalisation],
singular_results: &[SingularNormalisation],
) -> Vec<DiagramMap> {
// Check if all slice degeneracies are identity (nothing changed)
let all_regular_identity = regular_results.iter().all(|r| r.degeneracy.is_identity());
let all_singular_identity = singular_results.iter().all(|s| s.degeneracy.is_identity());
if all_regular_identity && all_singular_identity {
// If nothing was normalised, the factorisations are the original maps
return sink_maps.to_vec();
}
// For each sink map, its factorisation through P is assembled from
// the factorisations at each slice
sink_maps
.iter()
.enumerate()
.map(|(i, sink_map)| {
// Try to get factorisation from regular slices
if let Some(first_regular) = regular_results.first() {
if let Some(factorisation) = first_regular.factorisations.get(i) {
return factorisation.clone();
}
}
// Fallback: if the sink map is identity or no specific factorisation,
// return the original map (it passes through unchanged)
sink_map.clone()
})
.collect()
}
/// Construction 17, Step 4: Remove trivial cospans (simple degeneracy dS : N -> P).
///
/// A cospan at singular height h is removable iff:
/// 1. Both legs are isomorphisms (identity cospan)
/// 2. h is NOT in the image of any sink map's singular map
///
/// This is where ESSENTIAL IDENTITIES are detected. In dimension >= 4,
/// some identity cospans must be preserved because removing them would
/// make the zigzag maps ill-defined.
///
/// Returns:
/// - N: the diagram with trivial cospans removed
/// - dS: the simple degeneracy N -> P that re-inserts them
/// - Updated factorisations
fn remove_trivial_cospans(
p: &Diagram,
factorisations: &[DiagramMap],
) -> (Diagram, DiagramMap, Vec<DiagramMap>) {
match p {
Diagram::Diagram0(_) => {
// No cospans to remove
(p.clone(), DiagramMap::identity(p), factorisations.to_vec())
}
Diagram::DiagramN(diagram_n) => {
// Identify which cospans are trivial (identity) and not in sink image
let mut kept_cospans = Vec::new();
let mut removed_indices = Vec::new();
for (h, cospan) in diagram_n.cospans.iter().enumerate() {
let is_identity = cospan.is_identity();
let in_sink_image = is_in_sink_image(h, factorisations);
if !is_identity || in_sink_image {
// Keep this cospan:
// - Either it's non-trivial (not identity), OR
// - It's essential (in the image of some sink map)
kept_cospans.push(cospan.clone());
} else {
// Remove this cospan: it's trivial AND not essential
removed_indices.push(h);
}
}
// Build N with kept cospans
let n = Diagram::DiagramN(DiagramN::new(
(*diagram_n.source).clone(),
kept_cospans,
));
// Build simple degeneracy dS: N -> P
// This re-inserts the removed identity cospans at the correct positions
let d_simple = build_simple_degeneracy(&n, p, &removed_indices);
// Update factorisations to account for removed cospans
let updated_factorisations = update_factorisations_for_removal(
factorisations,
&removed_indices,
);
(n, d_simple, updated_factorisations)
}
}
}
/// Helper for Construction 17, Step 4: Check if height h is in sink image.
///
/// A height is in the image if any factorisation has a non-trivial
/// map at that singular level (i.e., some Ai has content mapping to height h).
fn is_in_sink_image(h: usize, factorisations: &[DiagramMap]) -> bool {
for factorisation in factorisations {
// Check if this factorisation maps anything to height h
if factorisation.has_singular_height_in_image(h) {
return true;
}
}
false
}
/// Lemma 7: Build a simple degeneracy that inserts identity cospans.
///
/// A simple degeneracy is pi-cocartesian over a face map composition.
/// This implements the "simple then parallel" factorisation.
fn build_simple_degeneracy(_source: &Diagram, _target: &Diagram, removed_indices: &[usize]) -> DiagramMap {
if removed_indices.is_empty() {
return DiagramMap::new(Rewrite::Identity);
}
// Build the cones that represent inserting identity cospans
// Each removed index corresponds to inserting an identity cospan
let cones: Vec<Cone> = removed_indices
.iter()
.map(|&idx| {
Cone::new(
idx,
vec![], // Empty source (we're inserting, not contracting)
Cospan::new(Rewrite::Identity, Rewrite::Identity), // Identity cospan
vec![], // No interior slices
)
})
.collect();
DiagramMap::new(Rewrite::RewriteN(RewriteN {
dimension: 1,
cones,
}))
}
/// Helper for Construction 17, Step 4: Update factorisations after cospan removal.
///
/// Adjust the singular map indices in each factorisation to account
/// for the removed cospan positions.
fn update_factorisations_for_removal(
factorisations: &[DiagramMap],
removed_indices: &[usize],
) -> Vec<DiagramMap> {
if removed_indices.is_empty() {
return factorisations.to_vec();
}
factorisations
.iter()
.map(|f| adjust_factorisation_indices(f, removed_indices))
.collect()
}
/// Helper for Construction 17, Step 4: Adjust factorisation indices after removal.
fn adjust_factorisation_indices(factorisation: &DiagramMap, removed_indices: &[usize]) -> DiagramMap {
match &factorisation.rewrite {
Rewrite::Identity => factorisation.clone(),
Rewrite::Rewrite0 { .. } => factorisation.clone(),
Rewrite::RewriteN(rw) => {
// Adjust cone indices to account for removed cospans
let adjusted_cones: Vec<Cone> = rw.cones
.iter()
.map(|cone| {
let new_index = adjust_index(cone.index, removed_indices);
Cone::new(
new_index,
cone.source.clone(),
cone.target.clone(),
cone.slices.clone(),
)
})
.collect();
DiagramMap::new(Rewrite::RewriteN(RewriteN {
dimension: rw.dimension,
cones: adjusted_cones,
}))
}
}
}
/// Helper for Construction 17, Step 4: Adjust an index after removing positions.
fn adjust_index(original: usize, removed: &[usize]) -> usize {
let count_removed_before = removed.iter().filter(|&&r| r < original).count();
original - count_removed_before
}
/// Construction 17, Step 5: Compose d = dP ∘ dS (parallel then simple).
///
/// Lemma 7: Every degeneracy factors as simple then parallel.
/// The composition gives the final degeneracy d: N -> T.
fn compose_degeneracies(d_simple: &DiagramMap, d_parallel: &DiagramMap) -> DiagramMap {
if d_simple.is_identity() {
d_parallel.clone()
} else if d_parallel.is_identity() {
d_simple.clone()
} else {
// Full composition needed
d_simple.compose(d_parallel)
}
}
/// Construction 17 (absolute case): Normalise with empty sink.
///
/// This computes the smallest degeneracy subobject of the diagram,
/// removing all redundant identity structure.
pub fn normalise(diagram: &Diagram) -> NormalisationResult {
let sink = Sink::empty(diagram);
normalise_sink(&sink)
}
impl Diagram {
/// Normalise this diagram (absolute normalisation).
pub fn normalise(&self) -> NormalisationResult {
normalise(self)
}
/// Check if this diagram is normalised (is its own normal form).
pub fn is_normalised(&self) -> bool {
let result = self.normalise();
result.degeneracy.is_identity()
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::signature::Generator;
#[test]
fn test_normalise_zero_diagram() {
let g = Generator::point(0);
let d = Diagram::Diagram0(g);
let result = d.normalise();
assert!(result.degeneracy.is_identity());
assert_eq!(result.normal_form, d);
}
#[test]
fn test_normalise_identity_diagram() {
let g = Generator::point(0);
let d0 = Diagram::Diagram0(g);
let d1 = Diagram::DiagramN(DiagramN::identity(d0.clone()));
let result = d1.normalise();
// Identity diagram should normalise to itself
// (an identity zigzag of length 0 has no cospans to remove)
assert_eq!(result.normal_form.length(), 0);
}
#[test]
fn test_normalisation_idempotent() {
let g = Generator::point(0);
let d = Diagram::Diagram0(g);
let once = d.normalise();
let twice = once.normal_form.normalise();
assert_eq!(once.normal_form, twice.normal_form);
}
#[test]
fn test_normalise_removes_identity_cospan() {
// Create a diagram with an identity cospan: r0 -> s0 <- r1
// where both legs are identities
let g = Generator::point(0);
let d0 = Diagram::Diagram0(g);
// Create a length-1 diagram with identity cospan
let identity_cospan = Cospan::new(Rewrite::Identity, Rewrite::Identity);
let d1 = Diagram::DiagramN(DiagramN::new(d0.clone(), vec![identity_cospan]));
let result = d1.normalise();
// The identity cospan should be removed (empty sink, not essential)
assert_eq!(result.normal_form.length(), 0);
}
#[test]
fn test_normalise_preserves_non_identity_cospan() {
// Create a diagram with a non-identity cospan
let g0 = Generator::point(0);
let g1 = Generator::point(1);
let d0 = Diagram::Diagram0(g0.clone());
// Create a cospan with non-identity rewrites
let non_id_cospan = Cospan::new(
Rewrite::Rewrite0 { source: g0.clone(), target: g1.clone() },
Rewrite::Rewrite0 { source: g0.clone(), target: g1 },
);
let d1 = Diagram::DiagramN(DiagramN::new(d0, vec![non_id_cospan]));
let result = d1.normalise();
// The non-identity cospan should be preserved
assert_eq!(result.normal_form.length(), 1);
}
#[test]
fn test_normalise_preserves_essential_identity() {
// Test case for essential identities (dimension >= 4 scenario)
// In this simplified test, we create a situation where an identity
// cospan is in the image of a sink map via CONTRACTION, making it essential.
//
// Key insight: An essential identity requires a CONTRACTION (non-empty source),
// not an insertion (empty source). A contraction maps existing content TO
// the target height, making it essential to preserve.
let g = Generator::point(0);
let d0 = Diagram::Diagram0(g.clone());
// Create target diagram with identity cospan (length 1)
let identity_cospan = Cospan::new(Rewrite::Identity, Rewrite::Identity);
let d1 = Diagram::DiagramN(DiagramN::new(d0.clone(), vec![identity_cospan.clone()]));
// Create a sink map that CONTRACTS to height 0 (non-empty source).
// This represents a map from a length-2 diagram to d1 (length 1).
// The contraction maps two cospans to one, putting height 0 in the image.
let sink_map = DiagramMap::new(Rewrite::RewriteN(RewriteN {
dimension: 1,
cones: vec![Cone::new(
0, // Maps to singular height 0 in target
vec![identity_cospan.clone(), identity_cospan.clone()], // NON-EMPTY source: contraction!
identity_cospan, // Target cospan
vec![Rewrite::Identity], // One interior boundary
)],
}));
let sink = Sink::new(&d1, vec![sink_map]);
let result = normalise_sink(&sink);
// The identity cospan should be preserved because it's in the sink image
// (the contraction maps to height 0)
assert_eq!(result.normal_form.length(), 1);
}
#[test]
fn test_normalisation_factorisations_correct() {
// Test that factorisations are correctly computed
let g = Generator::point(0);
let d = Diagram::Diagram0(g);
let sink_map = DiagramMap::identity(&d);
let sink = Sink::new(&d, vec![sink_map]);
let result = normalise_sink(&sink);
// The factorisation should exist for each sink map
assert_eq!(result.factorisations.len(), 1);
}
#[test]
fn test_adjust_index() {
// Test index adjustment after removal
assert_eq!(adjust_index(0, &[]), 0);
assert_eq!(adjust_index(3, &[1, 2]), 1);
assert_eq!(adjust_index(5, &[0, 2, 4]), 2);
}
#[test]
fn test_normalise_multiple_identity_cospans() {
// Create a diagram with multiple identity cospans
let g = Generator::point(0);
let d0 = Diagram::Diagram0(g);
let identity_cospan = Cospan::new(Rewrite::Identity, Rewrite::Identity);
let d3 = Diagram::DiagramN(DiagramN::new(
d0.clone(),
vec![identity_cospan.clone(), identity_cospan.clone(), identity_cospan],
));
let result = d3.normalise();
// All identity cospans should be removed (empty sink)
assert_eq!(result.normal_form.length(), 0);
}
#[test]
fn test_sink_empty() {
let g = Generator::point(0);
let d = Diagram::Diagram0(g);
let sink = Sink::empty(&d);
assert!(sink.maps.is_empty());
}
#[test]
fn test_is_in_sink_image_empty() {
// With no factorisations, nothing is in the sink image
assert!(!is_in_sink_image(0, &[]));
assert!(!is_in_sink_image(5, &[]));
}
#[test]
fn test_is_in_sink_image_with_identity() {
// Identity factorisation maps all heights to themselves
let id = DiagramMap::new(Rewrite::Identity);
assert!(is_in_sink_image(0, &[id.clone()]));
assert!(is_in_sink_image(10, &[id]));
}
}