Merge commit 'd803bfe2b1fe7f5e219e50ac20d6801a0a58ac75' as 'vendor/ruvector'

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ruv
2026-02-28 14:39:40 -05:00
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//! Canonical witness fragments using pseudo-deterministic min-cut.
//!
//! Produces reproducible, hash-stable witness fragments by computing
//! a canonical min-cut partition via lexicographic tie-breaking.
//!
//! All structures are `#[repr(C)]` aligned, use fixed-size arrays, and
//! operate entirely on the stack (no heap allocation). This module is
//! designed for no_std WASM tiles with a ~2.1KB temporary memory footprint.
#![allow(missing_docs)]
use crate::shard::{CompactGraph, MAX_SHARD_VERTICES};
use core::mem::size_of;
// ============================================================================
// Fixed-point weight for deterministic comparison
// ============================================================================
/// Fixed-point weight for deterministic, total-order comparison.
///
/// Uses 16.16 fixed-point representation (upper 16 bits integer, lower 16
/// bits fractional). This avoids floating-point non-determinism in
/// partition comparisons.
#[derive(Debug, Copy, Clone, Eq, PartialEq, Ord, PartialOrd)]
#[repr(transparent)]
pub struct FixedPointWeight(pub u32);
impl FixedPointWeight {
/// Zero weight constant
pub const ZERO: Self = Self(0);
/// One (1.0) in 16.16 fixed-point
pub const ONE: Self = Self(65536);
/// Maximum representable weight
pub const MAX: Self = Self(u32::MAX);
/// Convert from a `ShardEdge` weight (u16, 0.01 precision) to fixed-point.
///
/// The shard weight is scaled up by shifting left 8 bits, mapping
/// the 0-65535 range into the 16.16 fixed-point space.
#[inline(always)]
pub const fn from_u16_weight(w: u16) -> Self {
Self((w as u32) << 8)
}
/// Saturating addition (clamps at `u32::MAX`)
#[inline(always)]
pub const fn saturating_add(self, other: Self) -> Self {
Self(self.0.saturating_add(other.0))
}
/// Saturating subtraction (clamps at 0)
#[inline(always)]
pub const fn saturating_sub(self, other: Self) -> Self {
Self(self.0.saturating_sub(other.0))
}
/// Truncate to u16 by shifting right 8 bits (inverse of `from_u16_weight`)
#[inline(always)]
pub const fn to_u16(self) -> u16 {
(self.0 >> 8) as u16
}
}
// ============================================================================
// Cactus node and arena
// ============================================================================
/// A single node in the arena-allocated cactus tree.
///
/// Represents a vertex (or contracted 2-edge-connected component) in the
/// simplified cactus structure derived from the tile's compact graph.
#[derive(Debug, Copy, Clone)]
#[repr(C)]
pub struct CactusNode {
/// Vertex ID in the original graph
pub id: u16,
/// Parent index in `ArenaCactus::nodes` (0xFFFF = root / no parent)
pub parent: u16,
/// Degree in the cactus tree
pub degree: u8,
/// Flags (reserved)
pub flags: u8,
/// Weight of the edge connecting this node to its parent
pub weight_to_parent: FixedPointWeight,
}
impl CactusNode {
/// Sentinel value indicating no parent (root node)
pub const NO_PARENT: u16 = 0xFFFF;
/// Create an empty / default node
#[inline(always)]
pub const fn empty() -> Self {
Self {
id: 0,
parent: Self::NO_PARENT,
degree: 0,
flags: 0,
weight_to_parent: FixedPointWeight::ZERO,
}
}
}
// Compile-time size check: repr(C) layout is 12 bytes
// (u16 + u16 + u8 + u8 + 2-pad + u32 = 12, aligned to 4)
// 256 nodes * 12 = 3072 bytes (~3KB), fits in 14.5KB headroom.
const _: () = assert!(size_of::<CactusNode>() == 12, "CactusNode must be 12 bytes");
/// Arena-allocated cactus tree for a single tile (up to 256 vertices).
///
/// The cactus captures the 2-edge-connected component structure of the
/// tile's local graph. It is built entirely on the stack (~2KB) and used
/// to derive a canonical min-cut partition.
#[repr(C)]
pub struct ArenaCactus {
/// Node storage (one per vertex in the original graph)
pub nodes: [CactusNode; 256],
/// Number of active nodes
pub n_nodes: u16,
/// Root node index
pub root: u16,
/// Value of the global minimum cut found
pub min_cut_value: FixedPointWeight,
}
impl ArenaCactus {
/// Build a cactus from the tile's `CompactGraph`.
///
/// Algorithm (simplified):
/// 1. BFS spanning tree from the lowest-ID active vertex.
/// 2. Identify back edges and compute 2-edge-connected components
/// via low-link (Tarjan-style on edges).
/// 3. Contract each 2-edge-connected component into a single cactus
/// node; the inter-component bridge edges become cactus edges.
/// 4. Track the minimum-weight bridge as the global min-cut value.
pub fn build_from_compact_graph(graph: &CompactGraph) -> Self {
let mut cactus = ArenaCactus {
nodes: [CactusNode::empty(); 256],
n_nodes: 0,
root: 0xFFFF,
min_cut_value: FixedPointWeight::MAX,
};
if graph.num_vertices == 0 {
cactus.min_cut_value = FixedPointWeight::ZERO;
return cactus;
}
// ---- Phase 1: BFS spanning tree ----
// BFS queue (fixed-size ring buffer)
let mut queue = [0u16; 256];
let mut q_head: usize = 0;
let mut q_tail: usize = 0;
// Per-vertex BFS state
let mut visited = [false; MAX_SHARD_VERTICES];
let mut parent = [0xFFFFu16; MAX_SHARD_VERTICES];
let mut depth = [0u16; MAX_SHARD_VERTICES];
// Component ID for 2-edge-connected grouping
let mut comp_id = [0xFFFFu16; MAX_SHARD_VERTICES];
// Find lowest-ID active vertex as root
let mut root_v = 0xFFFFu16;
for v in 0..MAX_SHARD_VERTICES {
if graph.vertices[v].is_active() {
root_v = v as u16;
break;
}
}
if root_v == 0xFFFF {
cactus.min_cut_value = FixedPointWeight::ZERO;
return cactus;
}
// BFS
visited[root_v as usize] = true;
parent[root_v as usize] = 0xFFFF;
queue[q_tail] = root_v;
q_tail += 1;
while q_head < q_tail {
let u = queue[q_head] as usize;
q_head += 1;
let neighbors = graph.neighbors(u as u16);
for adj in neighbors {
let w = adj.neighbor as usize;
if !visited[w] {
visited[w] = true;
parent[w] = u as u16;
depth[w] = depth[u] + 1;
if q_tail < 256 {
queue[q_tail] = w as u16;
q_tail += 1;
}
}
}
}
// ---- Phase 2: Identify 2-edge-connected components ----
// For each back edge (u,w) where w is an ancestor of u in the BFS tree,
// all vertices on the path from u to w belong to the same 2-edge-connected
// component. We perform path marking for each back edge.
let mut next_comp: u16 = 0;
// Mark tree edges as bridges initially; back edges will un-bridge them
// We iterate edges and find back edges (both endpoints visited, not parent-child)
for e_idx in 0..graph.edges.len() {
let edge = &graph.edges[e_idx];
if !edge.is_active() {
continue;
}
let u = edge.source as usize;
let w = edge.target as usize;
if !visited[u] || !visited[w] {
continue;
}
// Check if this is a back edge (non-tree edge)
let is_tree = (parent[w] == u as u16 && depth[w] == depth[u] + 1)
|| (parent[u] == w as u16 && depth[u] == depth[w] + 1);
if is_tree {
continue; // Skip tree edges
}
// Back edge found: mark the path from u to w as same component
// Walk u and w up to their LCA, assigning a single component ID
let c = if comp_id[u] != 0xFFFF {
comp_id[u]
} else if comp_id[w] != 0xFFFF {
comp_id[w]
} else {
let c = next_comp;
next_comp = next_comp.saturating_add(1);
c
};
// Walk from u towards root, marking component
let mut a = u as u16;
while a != 0xFFFF && comp_id[a as usize] != c {
if comp_id[a as usize] == 0xFFFF {
comp_id[a as usize] = c;
}
a = parent[a as usize];
}
// Walk from w towards root, marking component
let mut b = w as u16;
while b != 0xFFFF && comp_id[b as usize] != c {
if comp_id[b as usize] == 0xFFFF {
comp_id[b as usize] = c;
}
b = parent[b as usize];
}
}
// Assign each unmarked visited vertex its own component
for v in 0..MAX_SHARD_VERTICES {
if visited[v] && comp_id[v] == 0xFFFF {
comp_id[v] = next_comp;
next_comp = next_comp.saturating_add(1);
}
}
// ---- Phase 3: Build cactus from component structure ----
// Each unique comp_id becomes a cactus node.
// The representative vertex is the lowest-ID vertex in the component.
let mut comp_repr = [0xFFFFu16; 256]; // comp_id -> representative vertex
let mut comp_to_node = [0xFFFFu16; 256]; // comp_id -> cactus node index
// Find representative (lowest vertex ID) for each component
for v in 0..MAX_SHARD_VERTICES {
if !visited[v] {
continue;
}
let c = comp_id[v] as usize;
if c < 256 && (comp_repr[c] == 0xFFFF || (v as u16) < comp_repr[c]) {
comp_repr[c] = v as u16;
}
}
// Create cactus nodes for each component
let mut n_cactus: u16 = 0;
for c in 0..next_comp.min(256) as usize {
if comp_repr[c] != 0xFFFF {
let idx = n_cactus as usize;
if idx < 256 {
cactus.nodes[idx] = CactusNode {
id: comp_repr[c],
parent: CactusNode::NO_PARENT,
degree: 0,
flags: 0,
weight_to_parent: FixedPointWeight::ZERO,
};
comp_to_node[c] = n_cactus;
n_cactus += 1;
}
}
}
cactus.n_nodes = n_cactus;
// Set root to the node containing root_v
let root_comp = comp_id[root_v as usize] as usize;
if root_comp < 256 {
cactus.root = comp_to_node[root_comp];
}
// ---- Phase 4: Connect cactus nodes via bridge edges ----
// A tree edge (parent[v] -> v) where comp_id[parent[v]] != comp_id[v]
// is a bridge. It becomes a cactus edge.
for v in 0..MAX_SHARD_VERTICES {
if !visited[v] || parent[v] == 0xFFFF {
continue;
}
let p = parent[v] as usize;
let cv = comp_id[v] as usize;
let cp = comp_id[p] as usize;
if cv != cp && cv < 256 && cp < 256 {
let node_v = comp_to_node[cv];
let node_p = comp_to_node[cp];
if node_v < 256
&& node_p < 256
&& cactus.nodes[node_v as usize].parent == CactusNode::NO_PARENT
&& node_v != cactus.root
{
// Compute bridge weight: sum of edge weights between the
// two components along this boundary
let bridge_weight = Self::compute_bridge_weight(graph, v as u16, parent[v]);
cactus.nodes[node_v as usize].parent = node_p;
cactus.nodes[node_v as usize].weight_to_parent = bridge_weight;
cactus.nodes[node_p as usize].degree += 1;
cactus.nodes[node_v as usize].degree += 1;
// Track minimum cut
if bridge_weight < cactus.min_cut_value {
cactus.min_cut_value = bridge_weight;
}
}
}
}
// If no bridges found, min cut is sum of all edge weights (graph is
// 2-edge-connected) or zero if there are no edges
if cactus.min_cut_value == FixedPointWeight::MAX {
if graph.num_edges == 0 {
cactus.min_cut_value = FixedPointWeight::ZERO;
} else {
// 2-edge-connected: min cut is at least the minimum degree
// weight sum. Compute as total weight / 2 as rough upper bound
// or just report the minimum vertex weighted degree.
cactus.min_cut_value = Self::min_vertex_weight_degree(graph);
}
}
cactus
}
/// Compute bridge weight between two vertices that are in different
/// 2-edge-connected components.
fn compute_bridge_weight(graph: &CompactGraph, v: u16, p: u16) -> FixedPointWeight {
// Find the edge between v and p and return its weight
if let Some(eid) = graph.find_edge(v, p) {
FixedPointWeight::from_u16_weight(graph.edges[eid as usize].weight)
} else {
FixedPointWeight::ONE
}
}
/// Compute minimum vertex weighted degree in the graph.
fn min_vertex_weight_degree(graph: &CompactGraph) -> FixedPointWeight {
let mut min_weight = FixedPointWeight::MAX;
for v in 0..MAX_SHARD_VERTICES {
if !graph.vertices[v].is_active() || graph.vertices[v].degree == 0 {
continue;
}
let mut weight_sum = FixedPointWeight::ZERO;
let neighbors = graph.neighbors(v as u16);
for adj in neighbors {
let eid = adj.edge_id as usize;
if eid < graph.edges.len() && graph.edges[eid].is_active() {
weight_sum = weight_sum
.saturating_add(FixedPointWeight::from_u16_weight(graph.edges[eid].weight));
}
}
if weight_sum < min_weight {
min_weight = weight_sum;
}
}
if min_weight == FixedPointWeight::MAX {
FixedPointWeight::ZERO
} else {
min_weight
}
}
/// Derive the canonical (lex-smallest) partition from this cactus.
///
/// Finds the minimum-weight edge in the cactus, removes it to create
/// two subtrees, and assigns the subtree with the lex-smallest vertex
/// set to side A. Ties are broken by selecting the edge whose removal
/// yields the lex-smallest side-A bitset.
pub fn canonical_partition(&self) -> CanonicalPartition {
let mut best = CanonicalPartition::empty();
if self.n_nodes <= 1 {
// Trivial: all vertices on side A
best.cardinality_a = self.n_nodes;
best.cut_value = FixedPointWeight::ZERO;
best.compute_hash();
return best;
}
// Find the minimum-weight cactus edge. For each non-root node whose
// edge to its parent has weight == min_cut_value, compute the
// resulting partition and keep the lex-smallest.
let mut found = false;
for i in 0..self.n_nodes as usize {
let node = &self.nodes[i];
if node.parent == CactusNode::NO_PARENT {
continue; // Root has no parent edge
}
if node.weight_to_parent != self.min_cut_value {
continue; // Not a minimum edge
}
// Removing this edge splits the cactus into:
// subtree rooted at node i vs everything else
let mut candidate = CanonicalPartition::empty();
candidate.cut_value = self.min_cut_value;
// Mark the subtree rooted at node i as side B
self.mark_subtree(i as u16, &mut candidate);
// Count cardinalities
candidate.recount();
// Ensure canonical orientation: side A should have lex-smallest
// vertex set. If side B is lex-smaller, flip.
if !candidate.is_canonical() {
candidate.flip();
}
candidate.compute_hash();
if !found || candidate.side < best.side {
best = candidate;
found = true;
}
}
if !found {
best.compute_hash();
}
best
}
/// Mark all nodes in the subtree rooted at `start` to side B.
fn mark_subtree(&self, start: u16, partition: &mut CanonicalPartition) {
// The cactus tree has parent pointers, so we find all nodes
// whose ancestor chain leads to `start` (before reaching the root
// or a node not descended from `start`).
partition.set_side(self.nodes[start as usize].id, true);
for i in 0..self.n_nodes as usize {
if i == start as usize {
continue;
}
// Walk ancestor chain to see if this node is in start's subtree
let mut cur = i as u16;
let mut in_subtree = false;
let mut steps = 0u16;
while cur != CactusNode::NO_PARENT && steps < 256 {
if cur == start {
in_subtree = true;
break;
}
cur = self.nodes[cur as usize].parent;
steps += 1;
}
if in_subtree {
partition.set_side(self.nodes[i].id, true);
}
}
}
/// Compute a 16-bit digest of the cactus structure for embedding
/// in the witness fragment.
pub fn digest(&self) -> u16 {
let mut hash: u32 = 0x811c9dc5;
for i in 0..self.n_nodes as usize {
let node = &self.nodes[i];
hash ^= node.id as u32;
hash = hash.wrapping_mul(0x01000193);
hash ^= node.parent as u32;
hash = hash.wrapping_mul(0x01000193);
hash ^= node.weight_to_parent.0;
hash = hash.wrapping_mul(0x01000193);
}
(hash & 0xFFFF) as u16
}
}
// ============================================================================
// Canonical partition
// ============================================================================
/// A canonical two-way partition of vertices into sides A and B.
///
/// The bitset encodes 256 vertices (1 bit each = 32 bytes). A cleared
/// bit means side A, a set bit means side B. The canonical orientation
/// guarantees that side A contains the lex-smallest vertex set.
#[derive(Debug, Copy, Clone)]
#[repr(C)]
pub struct CanonicalPartition {
/// Bitset: 256 vertices, 1 bit each (0 = side A, 1 = side B)
pub side: [u8; 32],
/// Number of vertices on side A
pub cardinality_a: u16,
/// Number of vertices on side B
pub cardinality_b: u16,
/// Cut value (weight of edges crossing the partition)
pub cut_value: FixedPointWeight,
/// 32-bit FNV-1a hash of the `side` bitset
pub canonical_hash: [u8; 4],
}
impl CanonicalPartition {
/// Create an empty partition (all vertices on side A)
#[inline]
pub const fn empty() -> Self {
Self {
side: [0u8; 32],
cardinality_a: 0,
cardinality_b: 0,
cut_value: FixedPointWeight::ZERO,
canonical_hash: [0u8; 4],
}
}
/// Set which side a vertex belongs to.
///
/// `side_b = false` means side A, `side_b = true` means side B.
#[inline]
pub fn set_side(&mut self, vertex: u16, side_b: bool) {
if vertex >= 256 {
return;
}
let byte_idx = (vertex / 8) as usize;
let bit_idx = vertex % 8;
if side_b {
self.side[byte_idx] |= 1 << bit_idx;
} else {
self.side[byte_idx] &= !(1 << bit_idx);
}
}
/// Get which side a vertex belongs to (false = A, true = B).
#[inline]
pub fn get_side(&self, vertex: u16) -> bool {
if vertex >= 256 {
return false;
}
let byte_idx = (vertex / 8) as usize;
let bit_idx = vertex % 8;
(self.side[byte_idx] >> bit_idx) & 1 != 0
}
/// Compute the FNV-1a hash of the side bitset.
pub fn compute_hash(&mut self) {
self.canonical_hash = fnv1a_hash(&self.side);
}
/// Check if this partition is in canonical orientation.
///
/// Canonical means: side A (the cleared bits) represents the
/// lex-smallest vertex set. Equivalently, the first set bit in
/// the bitset must be 1 (vertex 0 is on side A) OR, if vertex 0
/// is on side B, we should flip.
///
/// More precisely: the complement of `side` (i.e. the A-set bitset)
/// must be lex-smaller-or-equal to `side` (the B-set bitset).
pub fn is_canonical(&self) -> bool {
// Compare side vs. its complement byte-by-byte.
// The complement represents side-A. If complement < side, canonical.
// If complement > side, not canonical (should flip).
// If equal, canonical by convention.
for i in 0..32 {
let complement = !self.side[i];
if complement < self.side[i] {
return true;
}
if complement > self.side[i] {
return false;
}
}
true // Equal (symmetric partition)
}
/// Flip the partition so that side A and side B swap.
pub fn flip(&mut self) {
for i in 0..32 {
self.side[i] = !self.side[i];
}
let tmp = self.cardinality_a;
self.cardinality_a = self.cardinality_b;
self.cardinality_b = tmp;
}
/// Recount cardinalities from the bitset.
pub fn recount(&mut self) {
let mut count_b: u16 = 0;
for i in 0..32 {
count_b += self.side[i].count_ones() as u16;
}
self.cardinality_b = count_b;
// cardinality_a is total vertices minus B, but we only know
// about the vertices that were explicitly placed. We approximate
// with 256 - B here; the caller may adjust.
self.cardinality_a = 256u16.saturating_sub(count_b);
}
}
// ============================================================================
// Canonical witness fragment
// ============================================================================
/// Canonical witness fragment (16 bytes, same as `WitnessFragment`).
///
/// Extends the original witness fragment with pseudo-deterministic
/// partition information derived from the cactus tree.
#[derive(Debug, Copy, Clone, Default)]
#[repr(C, align(16))]
pub struct CanonicalWitnessFragment {
/// Tile ID (0-255)
pub tile_id: u8,
/// Truncated epoch (tick & 0xFF)
pub epoch: u8,
/// Vertices on side A of the canonical partition
pub cardinality_a: u16,
/// Vertices on side B of the canonical partition
pub cardinality_b: u16,
/// Cut value (original weight format, truncated)
pub cut_value: u16,
/// FNV-1a hash of the canonical partition bitset
pub canonical_hash: [u8; 4],
/// Number of boundary edges
pub boundary_edges: u16,
/// Truncated hash of the cactus structure
pub cactus_digest: u16,
}
// Compile-time size assertion
const _: () = assert!(
size_of::<CanonicalWitnessFragment>() == 16,
"CanonicalWitnessFragment must be exactly 16 bytes"
);
// ============================================================================
// FNV-1a hash (no_std, no allocation)
// ============================================================================
/// Compute a 32-bit FNV-1a hash of the given byte slice.
///
/// FNV-1a is a simple, fast, non-cryptographic hash with good
/// distribution properties. It is fully deterministic and portable.
#[inline]
pub fn fnv1a_hash(data: &[u8]) -> [u8; 4] {
let mut hash: u32 = 0x811c9dc5; // FNV offset basis
for &byte in data {
hash ^= byte as u32;
hash = hash.wrapping_mul(0x01000193); // FNV prime
}
hash.to_le_bytes()
}
// ============================================================================
// Tests
// ============================================================================
#[cfg(test)]
mod tests {
use super::*;
use crate::shard::CompactGraph;
use crate::TileState;
use core::mem::size_of;
#[test]
fn test_fixed_point_weight_ordering() {
let a = FixedPointWeight(100);
let b = FixedPointWeight(200);
let c = FixedPointWeight(100);
assert!(a < b);
assert!(b > a);
assert_eq!(a, c);
assert!(a <= c);
assert!(a >= c);
// Check from_u16_weight ordering
let w1 = FixedPointWeight::from_u16_weight(50);
let w2 = FixedPointWeight::from_u16_weight(100);
assert!(w1 < w2);
// Saturating add
let sum = w1.saturating_add(w2);
assert_eq!(sum, FixedPointWeight((50u32 << 8) + (100u32 << 8)));
// Saturating add at max
let max_sum = FixedPointWeight::MAX.saturating_add(FixedPointWeight::ONE);
assert_eq!(max_sum, FixedPointWeight::MAX);
}
#[test]
fn test_canonical_partition_determinism() {
// Build the same graph twice, verify same partition hash
let build_graph = || {
let mut g = CompactGraph::new();
g.add_edge(0, 1, 100);
g.add_edge(1, 2, 100);
g.add_edge(2, 3, 100);
g.add_edge(3, 0, 100);
g.add_edge(0, 2, 50); // Diagonal, lighter weight
g.recompute_components();
g
};
let g1 = build_graph();
let g2 = build_graph();
let c1 = ArenaCactus::build_from_compact_graph(&g1);
let c2 = ArenaCactus::build_from_compact_graph(&g2);
let p1 = c1.canonical_partition();
let p2 = c2.canonical_partition();
assert_eq!(p1.canonical_hash, p2.canonical_hash);
assert_eq!(p1.side, p2.side);
assert_eq!(p1.cut_value, p2.cut_value);
}
#[test]
fn test_fnv1a_known_values() {
// Empty input
let h0 = fnv1a_hash(&[]);
assert_eq!(
u32::from_le_bytes(h0),
0x811c9dc5,
"FNV-1a of empty should be the offset basis"
);
// Single zero byte
let h1 = fnv1a_hash(&[0]);
let expected = 0x811c9dc5u32 ^ 0;
let expected = expected.wrapping_mul(0x01000193);
assert_eq!(u32::from_le_bytes(h1), expected);
// Determinism: same input -> same output
let data = [1, 2, 3, 4, 5, 6, 7, 8];
let a = fnv1a_hash(&data);
let b = fnv1a_hash(&data);
assert_eq!(a, b);
// Different input -> (almost certainly) different output
let c = fnv1a_hash(&[8, 7, 6, 5, 4, 3, 2, 1]);
assert_ne!(a, c);
}
#[test]
fn test_arena_cactus_simple_triangle() {
let mut g = CompactGraph::new();
g.add_edge(0, 1, 100);
g.add_edge(1, 2, 100);
g.add_edge(2, 0, 100);
g.recompute_components();
let cactus = ArenaCactus::build_from_compact_graph(&g);
// A triangle is 2-edge-connected, so the cactus should have
// a single node (all 3 vertices collapsed into one component).
assert!(
cactus.n_nodes >= 1,
"Triangle cactus should have at least 1 node"
);
// The partition should be trivial since there is only one component
let partition = cactus.canonical_partition();
partition.canonical_hash; // Just ensure it doesn't panic
}
#[test]
fn test_canonical_witness_fragment_size() {
assert_eq!(
size_of::<CanonicalWitnessFragment>(),
16,
"CanonicalWitnessFragment must be exactly 16 bytes"
);
}
#[test]
fn test_canonical_witness_reproducibility() {
// Build two identical tile states and verify they produce the
// same canonical witness fragment.
let build_tile = || {
let mut tile = TileState::new(42);
tile.ingest_delta(&crate::delta::Delta::edge_add(0, 1, 100));
tile.ingest_delta(&crate::delta::Delta::edge_add(1, 2, 100));
tile.ingest_delta(&crate::delta::Delta::edge_add(2, 3, 200));
tile.ingest_delta(&crate::delta::Delta::edge_add(3, 0, 200));
tile.tick(10);
tile
};
let t1 = build_tile();
let t2 = build_tile();
let w1 = t1.canonical_witness();
let w2 = t2.canonical_witness();
assert_eq!(w1.tile_id, w2.tile_id);
assert_eq!(w1.epoch, w2.epoch);
assert_eq!(w1.cardinality_a, w2.cardinality_a);
assert_eq!(w1.cardinality_b, w2.cardinality_b);
assert_eq!(w1.cut_value, w2.cut_value);
assert_eq!(w1.canonical_hash, w2.canonical_hash);
assert_eq!(w1.boundary_edges, w2.boundary_edges);
assert_eq!(w1.cactus_digest, w2.cactus_digest);
}
#[test]
fn test_partition_set_get_side() {
let mut p = CanonicalPartition::empty();
// All on side A initially
for v in 0..256u16 {
assert!(!p.get_side(v), "vertex {} should be on side A", v);
}
// Set some to side B
p.set_side(0, true);
p.set_side(7, true);
p.set_side(8, true);
p.set_side(255, true);
assert!(p.get_side(0));
assert!(p.get_side(7));
assert!(p.get_side(8));
assert!(p.get_side(255));
assert!(!p.get_side(1));
assert!(!p.get_side(254));
// Clear
p.set_side(0, false);
assert!(!p.get_side(0));
}
#[test]
fn test_partition_flip() {
let mut p = CanonicalPartition::empty();
p.set_side(0, true);
p.set_side(1, true);
p.cardinality_a = 254;
p.cardinality_b = 2;
p.flip();
assert!(!p.get_side(0));
assert!(!p.get_side(1));
assert!(p.get_side(2));
assert_eq!(p.cardinality_a, 2);
assert_eq!(p.cardinality_b, 254);
}
#[test]
fn test_empty_graph_cactus() {
let g = CompactGraph::new();
let cactus = ArenaCactus::build_from_compact_graph(&g);
assert_eq!(cactus.n_nodes, 0);
assert_eq!(cactus.min_cut_value, FixedPointWeight::ZERO);
}
#[test]
fn test_single_edge_cactus() {
let mut g = CompactGraph::new();
g.add_edge(0, 1, 150);
g.recompute_components();
let cactus = ArenaCactus::build_from_compact_graph(&g);
assert!(
cactus.n_nodes >= 2,
"Single edge should have 2 cactus nodes"
);
let partition = cactus.canonical_partition();
// One vertex on each side
assert!(
partition.cardinality_b >= 1,
"Should have at least 1 vertex on side B"
);
}
}

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//! Delta types for incremental graph updates
//!
//! Defines the message types that tiles receive from the coordinator.
//! All types are `#[repr(C)]` for FFI compatibility and fixed-size
//! for deterministic memory allocation.
#![allow(missing_docs)]
use core::mem::size_of;
/// Compact vertex identifier (16-bit for tile-local addressing)
pub type TileVertexId = u16;
/// Compact edge identifier (16-bit for tile-local addressing)
pub type TileEdgeId = u16;
/// Fixed-point weight (16-bit, 0.01 precision)
/// Actual weight = raw_weight / 100.0
pub type FixedWeight = u16;
/// Convert fixed-point weight to f32
#[inline(always)]
pub const fn weight_to_f32(w: FixedWeight) -> f32 {
(w as f32) / 100.0
}
/// Convert f32 weight to fixed-point (saturating)
#[inline(always)]
pub const fn f32_to_weight(w: f32) -> FixedWeight {
let scaled = (w * 100.0) as i32;
if scaled < 0 {
0
} else if scaled > 65535 {
65535
} else {
scaled as u16
}
}
/// Delta operation tag
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
#[repr(u8)]
pub enum DeltaTag {
/// No operation (padding/sentinel)
Nop = 0,
/// Add an edge to the graph
EdgeAdd = 1,
/// Remove an edge from the graph
EdgeRemove = 2,
/// Update the weight of an existing edge
WeightUpdate = 3,
/// Observation for evidence accumulation
Observation = 4,
/// Batch boundary marker
BatchEnd = 5,
/// Checkpoint request
Checkpoint = 6,
/// Reset tile state
Reset = 7,
}
impl From<u8> for DeltaTag {
fn from(v: u8) -> Self {
match v {
1 => DeltaTag::EdgeAdd,
2 => DeltaTag::EdgeRemove,
3 => DeltaTag::WeightUpdate,
4 => DeltaTag::Observation,
5 => DeltaTag::BatchEnd,
6 => DeltaTag::Checkpoint,
7 => DeltaTag::Reset,
_ => DeltaTag::Nop,
}
}
}
/// Edge addition delta
#[derive(Debug, Clone, Copy, Default)]
#[repr(C)]
pub struct EdgeAdd {
/// Source vertex (tile-local ID)
pub source: TileVertexId,
/// Target vertex (tile-local ID)
pub target: TileVertexId,
/// Edge weight (fixed-point)
pub weight: FixedWeight,
/// Edge flags (reserved for future use)
pub flags: u16,
}
impl EdgeAdd {
/// Create a new edge addition
#[inline]
pub const fn new(source: TileVertexId, target: TileVertexId, weight: FixedWeight) -> Self {
Self {
source,
target,
weight,
flags: 0,
}
}
/// Create from f32 weight
#[inline]
pub const fn with_f32_weight(source: TileVertexId, target: TileVertexId, weight: f32) -> Self {
Self::new(source, target, f32_to_weight(weight))
}
}
/// Edge removal delta
#[derive(Debug, Clone, Copy, Default)]
#[repr(C)]
pub struct EdgeRemove {
/// Source vertex (tile-local ID)
pub source: TileVertexId,
/// Target vertex (tile-local ID)
pub target: TileVertexId,
/// Reserved padding for alignment
pub _reserved: u32,
}
impl EdgeRemove {
/// Create a new edge removal
#[inline]
pub const fn new(source: TileVertexId, target: TileVertexId) -> Self {
Self {
source,
target,
_reserved: 0,
}
}
}
/// Weight update delta
#[derive(Debug, Clone, Copy, Default)]
#[repr(C)]
pub struct WeightUpdate {
/// Source vertex (tile-local ID)
pub source: TileVertexId,
/// Target vertex (tile-local ID)
pub target: TileVertexId,
/// New weight (fixed-point)
pub new_weight: FixedWeight,
/// Delta mode: 0 = absolute, 1 = relative add, 2 = relative multiply
pub mode: u8,
/// Reserved padding
pub _reserved: u8,
}
impl WeightUpdate {
/// Absolute weight update mode
pub const MODE_ABSOLUTE: u8 = 0;
/// Relative addition mode
pub const MODE_ADD: u8 = 1;
/// Relative multiply mode (fixed-point: value/100)
pub const MODE_MULTIPLY: u8 = 2;
/// Create an absolute weight update
#[inline]
pub const fn absolute(source: TileVertexId, target: TileVertexId, weight: FixedWeight) -> Self {
Self {
source,
target,
new_weight: weight,
mode: Self::MODE_ABSOLUTE,
_reserved: 0,
}
}
/// Create a relative weight addition
#[inline]
pub const fn add(source: TileVertexId, target: TileVertexId, delta: FixedWeight) -> Self {
Self {
source,
target,
new_weight: delta,
mode: Self::MODE_ADD,
_reserved: 0,
}
}
}
/// Observation for evidence accumulation
///
/// Represents a measurement or event that affects the e-value calculation.
#[derive(Debug, Clone, Copy, Default)]
#[repr(C)]
pub struct Observation {
/// Vertex or region this observation applies to
pub vertex: TileVertexId,
/// Observation type/category
pub obs_type: u8,
/// Observation flags
pub flags: u8,
/// Observation value (interpretation depends on obs_type)
pub value: u32,
}
impl Observation {
/// Observation type: connectivity evidence
pub const TYPE_CONNECTIVITY: u8 = 0;
/// Observation type: cut membership evidence
pub const TYPE_CUT_MEMBERSHIP: u8 = 1;
/// Observation type: flow evidence
pub const TYPE_FLOW: u8 = 2;
/// Observation type: witness evidence
pub const TYPE_WITNESS: u8 = 3;
/// Create a connectivity observation
#[inline]
pub const fn connectivity(vertex: TileVertexId, connected: bool) -> Self {
Self {
vertex,
obs_type: Self::TYPE_CONNECTIVITY,
flags: if connected { 1 } else { 0 },
value: 0,
}
}
/// Create a cut membership observation
#[inline]
pub const fn cut_membership(vertex: TileVertexId, side: u8, confidence: u16) -> Self {
Self {
vertex,
obs_type: Self::TYPE_CUT_MEMBERSHIP,
flags: side,
value: confidence as u32,
}
}
}
/// Unified delta message (8 bytes, cache-aligned for batching)
///
/// Tagged union for all delta types. The layout is optimized for
/// WASM memory access patterns.
#[derive(Clone, Copy)]
#[repr(C)]
pub union DeltaPayload {
/// Edge addition payload
pub edge_add: EdgeAdd,
/// Edge removal payload
pub edge_remove: EdgeRemove,
/// Weight update payload
pub weight_update: WeightUpdate,
/// Observation payload
pub observation: Observation,
/// Raw bytes for custom payloads
pub raw: [u8; 8],
}
impl Default for DeltaPayload {
fn default() -> Self {
Self { raw: [0u8; 8] }
}
}
/// Complete delta message with tag
#[derive(Clone, Copy)]
#[repr(C, align(16))]
pub struct Delta {
/// Delta operation tag
pub tag: DeltaTag,
/// Sequence number for ordering
pub sequence: u8,
/// Source tile ID (for cross-tile deltas)
pub source_tile: u8,
/// Reserved for future use
pub _reserved: u8,
/// Timestamp (lower 32 bits of tick counter)
pub timestamp: u32,
/// Delta payload
pub payload: DeltaPayload,
}
impl Default for Delta {
fn default() -> Self {
Self {
tag: DeltaTag::Nop,
sequence: 0,
source_tile: 0,
_reserved: 0,
timestamp: 0,
payload: DeltaPayload::default(),
}
}
}
impl Delta {
/// Create a NOP delta
#[inline]
pub const fn nop() -> Self {
Self {
tag: DeltaTag::Nop,
sequence: 0,
source_tile: 0,
_reserved: 0,
timestamp: 0,
payload: DeltaPayload { raw: [0u8; 8] },
}
}
/// Create an edge add delta
#[inline]
pub fn edge_add(source: TileVertexId, target: TileVertexId, weight: FixedWeight) -> Self {
Self {
tag: DeltaTag::EdgeAdd,
sequence: 0,
source_tile: 0,
_reserved: 0,
timestamp: 0,
payload: DeltaPayload {
edge_add: EdgeAdd::new(source, target, weight),
},
}
}
/// Create an edge remove delta
#[inline]
pub fn edge_remove(source: TileVertexId, target: TileVertexId) -> Self {
Self {
tag: DeltaTag::EdgeRemove,
sequence: 0,
source_tile: 0,
_reserved: 0,
timestamp: 0,
payload: DeltaPayload {
edge_remove: EdgeRemove::new(source, target),
},
}
}
/// Create a weight update delta
#[inline]
pub fn weight_update(source: TileVertexId, target: TileVertexId, weight: FixedWeight) -> Self {
Self {
tag: DeltaTag::WeightUpdate,
sequence: 0,
source_tile: 0,
_reserved: 0,
timestamp: 0,
payload: DeltaPayload {
weight_update: WeightUpdate::absolute(source, target, weight),
},
}
}
/// Create an observation delta
#[inline]
pub fn observation(obs: Observation) -> Self {
Self {
tag: DeltaTag::Observation,
sequence: 0,
source_tile: 0,
_reserved: 0,
timestamp: 0,
payload: DeltaPayload { observation: obs },
}
}
/// Create a batch end marker
#[inline]
pub const fn batch_end() -> Self {
Self {
tag: DeltaTag::BatchEnd,
sequence: 0,
source_tile: 0,
_reserved: 0,
timestamp: 0,
payload: DeltaPayload { raw: [0u8; 8] },
}
}
/// Check if this is a NOP
#[inline]
pub const fn is_nop(&self) -> bool {
matches!(self.tag, DeltaTag::Nop)
}
/// Get the edge add payload (unsafe: caller must verify tag)
#[inline]
pub unsafe fn get_edge_add(&self) -> &EdgeAdd {
unsafe { &self.payload.edge_add }
}
/// Get the edge remove payload (unsafe: caller must verify tag)
#[inline]
pub unsafe fn get_edge_remove(&self) -> &EdgeRemove {
unsafe { &self.payload.edge_remove }
}
/// Get the weight update payload (unsafe: caller must verify tag)
#[inline]
pub unsafe fn get_weight_update(&self) -> &WeightUpdate {
unsafe { &self.payload.weight_update }
}
/// Get the observation payload (unsafe: caller must verify tag)
#[inline]
pub unsafe fn get_observation(&self) -> &Observation {
unsafe { &self.payload.observation }
}
}
// Compile-time size assertions
const _: () = assert!(size_of::<EdgeAdd>() == 8, "EdgeAdd must be 8 bytes");
const _: () = assert!(size_of::<EdgeRemove>() == 8, "EdgeRemove must be 8 bytes");
const _: () = assert!(
size_of::<WeightUpdate>() == 8,
"WeightUpdate must be 8 bytes"
);
const _: () = assert!(size_of::<Observation>() == 8, "Observation must be 8 bytes");
const _: () = assert!(size_of::<Delta>() == 16, "Delta must be 16 bytes");
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_weight_conversion() {
assert_eq!(weight_to_f32(100), 1.0);
assert_eq!(weight_to_f32(50), 0.5);
assert_eq!(weight_to_f32(0), 0.0);
assert_eq!(f32_to_weight(1.0), 100);
assert_eq!(f32_to_weight(0.5), 50);
assert_eq!(f32_to_weight(0.0), 0);
}
#[test]
fn test_delta_tag_roundtrip() {
for i in 0..=7 {
let tag = DeltaTag::from(i);
assert_eq!(tag as u8, i);
}
}
#[test]
fn test_edge_add_creation() {
let ea = EdgeAdd::new(1, 2, 150);
assert_eq!(ea.source, 1);
assert_eq!(ea.target, 2);
assert_eq!(ea.weight, 150);
}
#[test]
fn test_delta_edge_add() {
let delta = Delta::edge_add(5, 10, 200);
assert_eq!(delta.tag, DeltaTag::EdgeAdd);
unsafe {
let ea = delta.get_edge_add();
assert_eq!(ea.source, 5);
assert_eq!(ea.target, 10);
assert_eq!(ea.weight, 200);
}
}
#[test]
fn test_observation_creation() {
let obs = Observation::connectivity(42, true);
assert_eq!(obs.vertex, 42);
assert_eq!(obs.obs_type, Observation::TYPE_CONNECTIVITY);
assert_eq!(obs.flags, 1);
}
}

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//! Evidence accumulator for anytime-valid coherence gate
//!
//! Implements sequential testing with e-values for the coherence gate.
//! The accumulator maintains running e-value products that can be queried
//! at any time to determine if the coherence hypothesis should be rejected.
//!
//! ## Performance Optimizations
//!
//! - Pre-computed log threshold constants (avoid runtime log calculations)
//! - Fixed-point arithmetic for e-values (numerical stability + performance)
//! - `#[inline(always)]` on hot path functions
//! - Cache-aligned accumulator structure
//! - Branchless observation processing where possible
#![allow(missing_docs)]
use crate::delta::{Observation, TileVertexId};
use core::mem::size_of;
/// Maximum number of tracked hypotheses per tile
pub const MAX_HYPOTHESES: usize = 16;
/// Maximum observations in sliding window
pub const WINDOW_SIZE: usize = 64;
/// Fixed-point e-value representation (32-bit, log scale)
/// Stored as log2(e-value) * 65536 for numerical stability
pub type LogEValue = i32;
// ============================================================================
// PRE-COMPUTED THRESHOLD CONSTANTS (avoid runtime log calculations)
// ============================================================================
/// log2(20) * 65536 = 282944 (strong evidence threshold: e > 20)
/// Pre-computed to avoid runtime log calculation
pub const LOG_E_STRONG: LogEValue = 282944;
/// log2(100) * 65536 = 436906 (very strong evidence threshold: e > 100)
pub const LOG_E_VERY_STRONG: LogEValue = 436906;
/// log2(1.5) * 65536 = 38550 (connectivity positive evidence)
pub const LOG_LR_CONNECTIVITY_POS: LogEValue = 38550;
/// log2(0.5) * 65536 = -65536 (connectivity negative evidence)
pub const LOG_LR_CONNECTIVITY_NEG: LogEValue = -65536;
/// log2(2.0) * 65536 = 65536 (witness positive evidence)
pub const LOG_LR_WITNESS_POS: LogEValue = 65536;
/// log2(0.5) * 65536 = -65536 (witness negative evidence)
pub const LOG_LR_WITNESS_NEG: LogEValue = -65536;
/// Fixed-point scale factor
pub const FIXED_SCALE: i32 = 65536;
// ============================================================================
// SIMD-OPTIMIZED E-VALUE AGGREGATION
// ============================================================================
/// Aggregate log e-values using SIMD-friendly parallel lanes
///
/// This function is optimized for vectorization by processing values
/// in parallel lanes, allowing the compiler to generate SIMD instructions.
///
/// OPTIMIZATION: Uses 4 parallel lanes for 128-bit SIMD (SSE/NEON) or
/// 8 lanes for 256-bit SIMD (AVX2). The compiler can auto-vectorize
/// this pattern effectively.
///
/// # Arguments
/// * `log_e_values` - Slice of log e-values (fixed-point, 16.16 format)
///
/// # Returns
/// The sum of all log e-values (product in log space)
#[inline]
pub fn simd_aggregate_log_e(log_e_values: &[LogEValue]) -> i64 {
// Use 4 parallel accumulator lanes for 128-bit SIMD
// This allows the compiler to vectorize the inner loop
let mut lanes = [0i64; 4];
// Process in chunks of 4 for optimal SIMD usage
let chunks = log_e_values.chunks_exact(4);
let remainder = chunks.remainder();
for chunk in chunks {
// SAFETY: chunks_exact guarantees 4 elements
lanes[0] += chunk[0] as i64;
lanes[1] += chunk[1] as i64;
lanes[2] += chunk[2] as i64;
lanes[3] += chunk[3] as i64;
}
// Handle remainder
for (i, &val) in remainder.iter().enumerate() {
lanes[i % 4] += val as i64;
}
// Reduce lanes to single value
lanes[0] + lanes[1] + lanes[2] + lanes[3]
}
/// Aggregate log e-values using 8 parallel lanes for AVX2
///
/// OPTIMIZATION: Uses 8 lanes for 256-bit SIMD (AVX2/AVX-512).
/// Falls back gracefully on platforms without AVX.
#[inline]
pub fn simd_aggregate_log_e_wide(log_e_values: &[LogEValue]) -> i64 {
// Use 8 parallel accumulator lanes for 256-bit SIMD
let mut lanes = [0i64; 8];
let chunks = log_e_values.chunks_exact(8);
let remainder = chunks.remainder();
for chunk in chunks {
// Unrolled for better codegen
lanes[0] += chunk[0] as i64;
lanes[1] += chunk[1] as i64;
lanes[2] += chunk[2] as i64;
lanes[3] += chunk[3] as i64;
lanes[4] += chunk[4] as i64;
lanes[5] += chunk[5] as i64;
lanes[6] += chunk[6] as i64;
lanes[7] += chunk[7] as i64;
}
// Handle remainder
for (i, &val) in remainder.iter().enumerate() {
lanes[i % 8] += val as i64;
}
// Tree reduction for lane aggregation
let sum_0_3 = lanes[0] + lanes[1] + lanes[2] + lanes[3];
let sum_4_7 = lanes[4] + lanes[5] + lanes[6] + lanes[7];
sum_0_3 + sum_4_7
}
/// Aggregate mixture e-values for a tile set
///
/// Computes the product of e-values across tiles using log-space arithmetic
/// for numerical stability. This is the key operation for coherence gate
/// aggregation.
///
/// OPTIMIZATION:
/// - Uses SIMD-friendly parallel lanes
/// - Processes 255 tile e-values efficiently
/// - Returns in fixed-point log format for further processing
///
/// # Arguments
/// * `tile_log_e_values` - Array of 255 tile log e-values
///
/// # Returns
/// Aggregated log e-value (can be converted to f32 with log_e_to_f32)
#[inline]
pub fn aggregate_tile_evidence(tile_log_e_values: &[LogEValue; 255]) -> i64 {
simd_aggregate_log_e(tile_log_e_values)
}
/// Convert log e-value to approximate f32
///
/// OPTIMIZATION: Marked #[inline(always)] for hot path usage
#[inline(always)]
pub const fn log_e_to_f32(log_e: LogEValue) -> f32 {
// log2(e) = log_e / 65536
// e = 2^(log_e / 65536)
// Approximation for no_std
let log2_val = (log_e as f32) / 65536.0;
// 2^x approximation using e^(x * ln(2))
// For simplicity, we just return the log value scaled
log2_val
}
/// Convert f32 e-value to log representation
///
/// OPTIMIZATION: Early exit for common cases, marked #[inline(always)]
#[inline(always)]
pub fn f32_to_log_e(e: f32) -> LogEValue {
if e <= 0.0 {
i32::MIN
} else if e == 1.0 {
0 // Fast path for neutral evidence
} else if e == 2.0 {
FIXED_SCALE // Fast path for common LR=2
} else if e == 0.5 {
-FIXED_SCALE // Fast path for common LR=0.5
} else {
// log2(e) * 65536
let log2_e = libm::log2f(e);
(log2_e * 65536.0) as i32
}
}
/// Compute log likelihood ratio directly in fixed-point
/// Avoids f32 conversion for common cases
///
/// OPTIMIZATION: Returns pre-computed constants for known observation types
#[inline(always)]
pub const fn log_lr_for_obs_type(obs_type: u8, flags: u8, value: u16) -> LogEValue {
match obs_type {
Observation::TYPE_CONNECTIVITY => {
if flags != 0 {
LOG_LR_CONNECTIVITY_POS
} else {
LOG_LR_CONNECTIVITY_NEG
}
}
Observation::TYPE_WITNESS => {
if flags != 0 {
LOG_LR_WITNESS_POS
} else {
LOG_LR_WITNESS_NEG
}
}
// For other types, return 0 (neutral) - caller should use f32 path
_ => 0,
}
}
/// Hypothesis state for tracking
///
/// Size: 16 bytes, aligned for efficient cache access
#[derive(Debug, Clone, Copy)]
#[repr(C, align(16))]
pub struct HypothesisState {
/// Current accumulated log e-value (hot field, first for cache)
pub log_e_value: LogEValue,
/// Number of observations processed
pub obs_count: u32,
/// Hypothesis ID
pub id: u16,
/// Target vertex (for vertex-specific hypotheses)
pub target: TileVertexId,
/// Threshold vertex (for cut hypotheses)
pub threshold: TileVertexId,
/// Hypothesis type (0 = connectivity, 1 = cut, 2 = flow)
pub hyp_type: u8,
/// Status flags
pub flags: u8,
}
impl Default for HypothesisState {
#[inline]
fn default() -> Self {
Self::new(0, 0)
}
}
impl HypothesisState {
/// Hypothesis is active
pub const FLAG_ACTIVE: u8 = 0x01;
/// Hypothesis is rejected (e-value crossed threshold)
pub const FLAG_REJECTED: u8 = 0x02;
/// Hypothesis evidence is strong (e > 20)
pub const FLAG_STRONG: u8 = 0x04;
/// Hypothesis evidence is very strong (e > 100)
pub const FLAG_VERY_STRONG: u8 = 0x08;
/// Type: connectivity hypothesis
pub const TYPE_CONNECTIVITY: u8 = 0;
/// Type: cut membership hypothesis
pub const TYPE_CUT: u8 = 1;
/// Type: flow hypothesis
pub const TYPE_FLOW: u8 = 2;
/// Create a new hypothesis
#[inline(always)]
pub const fn new(id: u16, hyp_type: u8) -> Self {
Self {
log_e_value: 0, // e = 1 (neutral)
obs_count: 0,
id,
target: 0,
threshold: 0,
hyp_type,
flags: Self::FLAG_ACTIVE,
}
}
/// Create a connectivity hypothesis for a vertex
#[inline(always)]
pub const fn connectivity(id: u16, vertex: TileVertexId) -> Self {
Self {
log_e_value: 0,
obs_count: 0,
id,
target: vertex,
threshold: 0,
hyp_type: Self::TYPE_CONNECTIVITY,
flags: Self::FLAG_ACTIVE,
}
}
/// Create a cut membership hypothesis
#[inline(always)]
pub const fn cut_membership(id: u16, vertex: TileVertexId, threshold: TileVertexId) -> Self {
Self {
log_e_value: 0,
obs_count: 0,
id,
target: vertex,
threshold,
hyp_type: Self::TYPE_CUT,
flags: Self::FLAG_ACTIVE,
}
}
/// Check if hypothesis is active
///
/// OPTIMIZATION: #[inline(always)] - called in every hypothesis loop
#[inline(always)]
pub const fn is_active(&self) -> bool {
self.flags & Self::FLAG_ACTIVE != 0
}
/// Check if hypothesis is rejected
#[inline(always)]
pub const fn is_rejected(&self) -> bool {
self.flags & Self::FLAG_REJECTED != 0
}
/// Check if hypothesis can be updated (active and not rejected)
///
/// OPTIMIZATION: Combined check to reduce branch mispredictions
#[inline(always)]
pub const fn can_update(&self) -> bool {
// Active AND not rejected = (flags & ACTIVE) != 0 && (flags & REJECTED) == 0
(self.flags & (Self::FLAG_ACTIVE | Self::FLAG_REJECTED)) == Self::FLAG_ACTIVE
}
/// Get e-value as approximate f32 (2^(log_e/65536))
#[inline(always)]
pub fn e_value_approx(&self) -> f32 {
let log2_val = (self.log_e_value as f32) / 65536.0;
libm::exp2f(log2_val)
}
/// Update with a new observation (f32 likelihood ratio)
/// Returns true if the hypothesis is now rejected
///
/// OPTIMIZATION: Uses pre-computed threshold constants
#[inline]
pub fn update(&mut self, likelihood_ratio: f32) -> bool {
if !self.can_update() {
return self.is_rejected();
}
// Update log e-value: log(e') = log(e) + log(LR)
let log_lr = f32_to_log_e(likelihood_ratio);
self.update_with_log_lr(log_lr)
}
/// Update with a pre-computed log likelihood ratio (fixed-point)
/// Returns true if the hypothesis is now rejected
///
/// OPTIMIZATION: Avoids f32->log conversion when log_lr is pre-computed
#[inline(always)]
pub fn update_with_log_lr(&mut self, log_lr: LogEValue) -> bool {
self.log_e_value = self.log_e_value.saturating_add(log_lr);
self.obs_count += 1;
// Update strength flags using pre-computed constants
// OPTIMIZATION: Single comparison chain with constants
if self.log_e_value > LOG_E_VERY_STRONG {
self.flags |= Self::FLAG_VERY_STRONG | Self::FLAG_STRONG;
} else if self.log_e_value > LOG_E_STRONG {
self.flags |= Self::FLAG_STRONG;
self.flags &= !Self::FLAG_VERY_STRONG;
} else {
self.flags &= !(Self::FLAG_STRONG | Self::FLAG_VERY_STRONG);
}
// Check rejection threshold (alpha = 0.05 => e > 20)
if self.log_e_value > LOG_E_STRONG {
self.flags |= Self::FLAG_REJECTED;
return true;
}
false
}
/// Reset the hypothesis
#[inline]
pub fn reset(&mut self) {
self.log_e_value = 0;
self.obs_count = 0;
self.flags = Self::FLAG_ACTIVE;
}
}
/// Observation record for sliding window
#[derive(Debug, Clone, Copy, Default)]
#[repr(C)]
pub struct ObsRecord {
/// Observation data
pub obs: Observation,
/// Timestamp (tick)
pub tick: u32,
}
/// Evidence accumulator for tile-local e-value tracking
///
/// OPTIMIZATION: Cache-line aligned (64 bytes) with hot fields first
#[derive(Clone)]
#[repr(C, align(64))]
pub struct EvidenceAccumulator {
// === HOT FIELDS (frequently accessed) ===
/// Global accumulated log e-value
pub global_log_e: LogEValue,
/// Total observations processed
pub total_obs: u32,
/// Current tick
pub current_tick: u32,
/// Window head pointer (circular buffer)
pub window_head: u16,
/// Window count (number of valid entries)
pub window_count: u16,
/// Number of active hypotheses
pub num_hypotheses: u8,
/// Reserved padding
pub _reserved: [u8; 1],
/// Rejected hypothesis count
pub rejected_count: u16,
/// Status flags
pub status: u16,
/// Padding to align cold fields
_hot_pad: [u8; 40],
// === COLD FIELDS ===
/// Active hypotheses
pub hypotheses: [HypothesisState; MAX_HYPOTHESES],
/// Sliding window of recent observations
pub window: [ObsRecord; WINDOW_SIZE],
}
impl Default for EvidenceAccumulator {
#[inline]
fn default() -> Self {
Self::new()
}
}
impl EvidenceAccumulator {
/// Status: accumulator is active
pub const STATUS_ACTIVE: u16 = 0x0001;
/// Status: at least one hypothesis rejected
pub const STATUS_HAS_REJECTION: u16 = 0x0002;
/// Status: global evidence is significant
pub const STATUS_SIGNIFICANT: u16 = 0x0004;
/// Create a new accumulator
pub const fn new() -> Self {
Self {
global_log_e: 0,
total_obs: 0,
current_tick: 0,
window_head: 0,
window_count: 0,
num_hypotheses: 0,
_reserved: [0; 1],
rejected_count: 0,
status: Self::STATUS_ACTIVE,
_hot_pad: [0; 40],
hypotheses: [HypothesisState::new(0, 0); MAX_HYPOTHESES],
window: [ObsRecord {
obs: Observation {
vertex: 0,
obs_type: 0,
flags: 0,
value: 0,
},
tick: 0,
}; WINDOW_SIZE],
}
}
/// Add a new hypothesis to track
pub fn add_hypothesis(&mut self, hypothesis: HypothesisState) -> bool {
if self.num_hypotheses as usize >= MAX_HYPOTHESES {
return false;
}
self.hypotheses[self.num_hypotheses as usize] = hypothesis;
self.num_hypotheses += 1;
true
}
/// Add a connectivity hypothesis
pub fn add_connectivity_hypothesis(&mut self, vertex: TileVertexId) -> bool {
let id = self.num_hypotheses as u16;
self.add_hypothesis(HypothesisState::connectivity(id, vertex))
}
/// Add a cut membership hypothesis
pub fn add_cut_hypothesis(&mut self, vertex: TileVertexId, threshold: TileVertexId) -> bool {
let id = self.num_hypotheses as u16;
self.add_hypothesis(HypothesisState::cut_membership(id, vertex, threshold))
}
/// Process an observation
///
/// OPTIMIZATION: Uses fixed-point log LR for common observation types,
/// avoids f32 conversion where possible
#[inline]
pub fn process_observation(&mut self, obs: Observation, tick: u32) {
self.current_tick = tick;
self.total_obs += 1;
// Add to sliding window using wrapping arithmetic
// OPTIMIZATION: Avoid modulo with power-of-2 window size
let idx = self.window_head as usize;
// SAFETY: WINDOW_SIZE is 64, idx < 64
unsafe {
*self.window.get_unchecked_mut(idx) = ObsRecord { obs, tick };
}
// OPTIMIZATION: Bit mask for power-of-2 wrap (64 = 0x40, mask = 0x3F)
self.window_head = ((self.window_head + 1) & (WINDOW_SIZE as u16 - 1));
if (self.window_count as usize) < WINDOW_SIZE {
self.window_count += 1;
}
// Compute log likelihood ratio in fixed-point where possible
// OPTIMIZATION: Use pre-computed constants for common types
let log_lr = self.compute_log_likelihood_ratio(&obs);
// Update global e-value
self.global_log_e = self.global_log_e.saturating_add(log_lr);
// Update relevant hypotheses
// OPTIMIZATION: Cache num_hypotheses to avoid repeated load
let num_hyp = self.num_hypotheses as usize;
for i in 0..num_hyp {
// SAFETY: i < num_hypotheses <= MAX_HYPOTHESES
let hyp = unsafe { self.hypotheses.get_unchecked(i) };
// OPTIMIZATION: Use combined can_update check
if !hyp.can_update() {
continue;
}
// Check if observation is relevant to this hypothesis
// OPTIMIZATION: Early exit on type mismatch (most common case)
let is_relevant = self.is_obs_relevant(hyp, &obs);
if is_relevant {
// SAFETY: i < num_hypotheses
let hyp_mut = unsafe { self.hypotheses.get_unchecked_mut(i) };
if hyp_mut.update_with_log_lr(log_lr) {
self.rejected_count += 1;
self.status |= Self::STATUS_HAS_REJECTION;
}
}
}
// Update significance status using pre-computed constant
if self.global_log_e > LOG_E_STRONG {
self.status |= Self::STATUS_SIGNIFICANT;
}
}
/// Check if observation is relevant to hypothesis
///
/// OPTIMIZATION: Inlined for hot path
#[inline(always)]
fn is_obs_relevant(&self, hyp: &HypothesisState, obs: &Observation) -> bool {
match (hyp.hyp_type, obs.obs_type) {
(HypothesisState::TYPE_CONNECTIVITY, Observation::TYPE_CONNECTIVITY) => {
obs.vertex == hyp.target
}
(HypothesisState::TYPE_CUT, Observation::TYPE_CUT_MEMBERSHIP) => {
obs.vertex == hyp.target
}
(HypothesisState::TYPE_FLOW, Observation::TYPE_FLOW) => obs.vertex == hyp.target,
_ => false,
}
}
/// Compute log likelihood ratio in fixed-point
///
/// OPTIMIZATION: Returns pre-computed constants for common types,
/// only falls back to f32 for complex calculations
#[inline(always)]
fn compute_log_likelihood_ratio(&self, obs: &Observation) -> LogEValue {
match obs.obs_type {
Observation::TYPE_CONNECTIVITY => {
// Use pre-computed constants
if obs.flags != 0 {
LOG_LR_CONNECTIVITY_POS // 1.5
} else {
LOG_LR_CONNECTIVITY_NEG // 0.5
}
}
Observation::TYPE_WITNESS => {
// Use pre-computed constants
if obs.flags != 0 {
LOG_LR_WITNESS_POS // 2.0
} else {
LOG_LR_WITNESS_NEG // 0.5
}
}
Observation::TYPE_CUT_MEMBERSHIP => {
// Confidence-based: 1.0 + confidence (1.0 to 2.0)
// log2(1 + x) where x in [0,1]
// Approximation: x * 65536 / ln(2) for small x
let confidence_fixed = (obs.value as i32) >> 1; // Scale 0-65535 to ~0-32768
confidence_fixed
}
Observation::TYPE_FLOW => {
// Flow-based: needs f32 path
let flow = (obs.value as f32) / 1000.0;
let lr = if flow > 0.5 {
1.0 + flow
} else {
1.0 / (1.0 + flow)
};
f32_to_log_e(lr)
}
_ => 0, // Neutral
}
}
/// Compute likelihood ratio for an observation (f32 version for compatibility)
#[inline]
fn compute_likelihood_ratio(&self, obs: &Observation) -> f32 {
match obs.obs_type {
Observation::TYPE_CONNECTIVITY => {
if obs.flags != 0 {
1.5
} else {
0.5
}
}
Observation::TYPE_CUT_MEMBERSHIP => {
let confidence = (obs.value as f32) / 65535.0;
1.0 + confidence
}
Observation::TYPE_FLOW => {
let flow = (obs.value as f32) / 1000.0;
if flow > 0.5 {
1.0 + flow
} else {
1.0 / (1.0 + flow)
}
}
Observation::TYPE_WITNESS => {
if obs.flags != 0 {
2.0
} else {
0.5
}
}
_ => 1.0,
}
}
/// Get global e-value as approximate f32
#[inline(always)]
pub fn global_e_value(&self) -> f32 {
let log2_val = (self.global_log_e as f32) / 65536.0;
libm::exp2f(log2_val)
}
/// Check if any hypothesis is rejected
#[inline(always)]
pub fn has_rejection(&self) -> bool {
self.status & Self::STATUS_HAS_REJECTION != 0
}
/// Check if evidence is significant (e > 20)
#[inline(always)]
pub fn is_significant(&self) -> bool {
self.status & Self::STATUS_SIGNIFICANT != 0
}
/// Reset all hypotheses
pub fn reset(&mut self) {
for h in self.hypotheses[..self.num_hypotheses as usize].iter_mut() {
h.reset();
}
self.window_head = 0;
self.window_count = 0;
self.global_log_e = 0;
self.rejected_count = 0;
self.status = Self::STATUS_ACTIVE;
}
/// Process a batch of observations efficiently
///
/// OPTIMIZATION: Batch processing reduces function call overhead and
/// allows better cache utilization by processing observations in bulk.
///
/// # Arguments
/// * `observations` - Slice of (observation, tick) pairs
#[inline]
pub fn process_observation_batch(&mut self, observations: &[(Observation, u32)]) {
// Pre-compute all log LRs for the batch
// This allows potential vectorization of LR computation
let batch_size = observations.len().min(64);
// Process in cache-friendly order
for &(obs, tick) in observations.iter().take(batch_size) {
self.process_observation(obs, tick);
}
}
/// Aggregate all hypothesis e-values using SIMD
///
/// OPTIMIZATION: Uses SIMD-friendly parallel lane accumulation
/// to sum all active hypothesis log e-values efficiently.
///
/// # Returns
/// Total accumulated log e-value across all hypotheses
#[inline]
pub fn aggregate_hypotheses_simd(&self) -> i64 {
let mut lanes = [0i64; 4];
let num_hyp = self.num_hypotheses as usize;
// Process hypotheses in 4-lane parallel pattern
for i in 0..num_hyp {
let hyp = &self.hypotheses[i];
if hyp.is_active() {
lanes[i % 4] += hyp.log_e_value as i64;
}
}
lanes[0] + lanes[1] + lanes[2] + lanes[3]
}
/// Fast check if evidence level exceeds threshold
///
/// OPTIMIZATION: Uses pre-computed log threshold constants
/// to avoid expensive exp2f conversion.
///
/// # Arguments
/// * `threshold_log` - Log threshold (e.g., LOG_E_STRONG for alpha=0.05)
///
/// # Returns
/// true if global evidence exceeds threshold
#[inline(always)]
pub fn exceeds_threshold(&self, threshold_log: LogEValue) -> bool {
self.global_log_e > threshold_log
}
/// Get memory size
pub const fn memory_size() -> usize {
size_of::<Self>()
}
}
// Compile-time size assertions
const _: () = assert!(
size_of::<HypothesisState>() == 16,
"HypothesisState must be 16 bytes"
);
const _: () = assert!(size_of::<ObsRecord>() == 12, "ObsRecord must be 12 bytes");
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_log_e_conversion() {
// e = 1 => log = 0
assert_eq!(f32_to_log_e(1.0), 0);
// e = 2 => log2(2) * 65536 = 65536
let log_2 = f32_to_log_e(2.0);
assert!((log_2 - 65536).abs() < 100);
// e = 4 => log2(4) * 65536 = 131072
let log_4 = f32_to_log_e(4.0);
assert!((log_4 - 131072).abs() < 100);
}
#[test]
fn test_hypothesis_state() {
let mut hyp = HypothesisState::new(0, HypothesisState::TYPE_CONNECTIVITY);
assert!(hyp.is_active());
assert!(!hyp.is_rejected());
assert_eq!(hyp.obs_count, 0);
// Update with LR = 2 a few times
for _ in 0..5 {
hyp.update(2.0);
}
assert_eq!(hyp.obs_count, 5);
assert!(hyp.e_value_approx() > 20.0); // 2^5 = 32 > 20
}
#[test]
fn test_hypothesis_rejection() {
let mut hyp = HypothesisState::new(0, HypothesisState::TYPE_CUT);
// Keep updating until rejection
for _ in 0..10 {
if hyp.update(2.0) {
break;
}
}
assert!(hyp.is_rejected());
}
#[test]
fn test_accumulator_new() {
let acc = EvidenceAccumulator::new();
assert_eq!(acc.num_hypotheses, 0);
assert_eq!(acc.total_obs, 0);
assert!(!acc.has_rejection());
}
#[test]
fn test_add_hypothesis() {
let mut acc = EvidenceAccumulator::new();
assert!(acc.add_connectivity_hypothesis(5));
assert!(acc.add_cut_hypothesis(10, 15));
assert_eq!(acc.num_hypotheses, 2);
}
#[test]
fn test_process_observation() {
let mut acc = EvidenceAccumulator::new();
acc.add_connectivity_hypothesis(5);
// Process observations
for tick in 0..10 {
let obs = Observation::connectivity(5, true);
acc.process_observation(obs, tick);
}
assert_eq!(acc.total_obs, 10);
assert!(acc.global_e_value() > 1.0);
}
#[test]
fn test_sliding_window() {
let mut acc = EvidenceAccumulator::new();
// Fill window
for tick in 0..(WINDOW_SIZE as u32 + 10) {
let obs = Observation::connectivity(0, true);
acc.process_observation(obs, tick);
}
assert_eq!(acc.window_count, WINDOW_SIZE as u16);
}
#[test]
fn test_memory_size() {
let size = EvidenceAccumulator::memory_size();
// Should be reasonable for tile budget
assert!(size < 4096, "EvidenceAccumulator too large: {} bytes", size);
}
}

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@@ -0,0 +1,745 @@
//! Cognitum Gate Kernel
//!
//! A no_std WASM kernel for worker tiles in a 256-tile coherence gate fabric.
//! Each tile maintains a local graph shard, accumulates evidence for sequential
//! testing, and produces witness fragments for aggregation.
//!
//! # Architecture
//!
//! The coherence gate consists of 256 worker tiles, each running this kernel.
//! Tiles receive delta updates (edge additions, removals, weight changes) and
//! observations, process them through a deterministic tick loop, and produce
//! reports containing:
//!
//! - Local graph state (vertices, edges, components)
//! - Evidence accumulation (e-values for hypothesis testing)
//! - Witness fragments (for global min-cut aggregation)
//!
//! # Memory Budget
//!
//! Each tile operates within a ~64KB memory budget:
//! - CompactGraph: ~42KB (vertices, edges, adjacency)
//! - EvidenceAccumulator: ~2KB (hypotheses, sliding window)
//! - TileState: ~1KB (configuration, buffers)
//! - Stack/Control: ~19KB (remaining)
//!
//! # WASM Exports
//!
//! The kernel exports three main functions for the WASM interface:
//!
//! - `ingest_delta`: Process incoming delta updates
//! - `tick`: Execute one step of the deterministic tick loop
//! - `get_witness_fragment`: Retrieve the current witness fragment
//!
//! # Example
//!
//! ```ignore
//! // Initialize tile
//! let tile = TileState::new(42); // Tile ID 42
//!
//! // Ingest deltas
//! tile.ingest_delta(&Delta::edge_add(0, 1, 100));
//! tile.ingest_delta(&Delta::edge_add(1, 2, 100));
//!
//! // Process tick
//! let report = tile.tick(1);
//!
//! // Get witness
//! let witness = tile.get_witness_fragment();
//! ```
#![cfg_attr(not(feature = "std"), no_std)]
#![deny(unsafe_op_in_unsafe_fn)]
#![warn(missing_docs)]
#![allow(clippy::missing_safety_doc)]
#[cfg(not(feature = "std"))]
extern crate alloc;
// Global allocator for no_std builds
#[cfg(all(not(feature = "std"), not(test)))]
mod allocator {
use core::alloc::{GlobalAlloc, Layout};
/// A simple bump allocator for no_std WASM builds
/// In production, this would be replaced with wee_alloc or similar
struct BumpAllocator;
// 64KB heap for each tile
const HEAP_SIZE: usize = 65536;
static mut HEAP: [u8; HEAP_SIZE] = [0; HEAP_SIZE];
static mut HEAP_PTR: usize = 0;
unsafe impl GlobalAlloc for BumpAllocator {
unsafe fn alloc(&self, layout: Layout) -> *mut u8 {
let size = layout.size();
let align = layout.align();
unsafe {
// Align the heap pointer
let aligned = (HEAP_PTR + align - 1) & !(align - 1);
if aligned + size > HEAP_SIZE {
core::ptr::null_mut()
} else {
HEAP_PTR = aligned + size;
HEAP.as_mut_ptr().add(aligned)
}
}
}
unsafe fn dealloc(&self, _ptr: *mut u8, _layout: Layout) {
// Bump allocator doesn't deallocate
// This is fine for short-lived WASM kernels
}
}
#[global_allocator]
static ALLOCATOR: BumpAllocator = BumpAllocator;
}
// Panic handler for no_std builds (not needed for tests or std builds)
#[cfg(all(not(feature = "std"), not(test), target_arch = "wasm32"))]
#[panic_handler]
fn panic(_info: &core::panic::PanicInfo) -> ! {
// In WASM, we can use unreachable to trap
core::arch::wasm32::unreachable()
}
// For non-wasm no_std builds without test
#[cfg(all(not(feature = "std"), not(test), not(target_arch = "wasm32")))]
#[panic_handler]
fn panic(_info: &core::panic::PanicInfo) -> ! {
loop {}
}
pub mod delta;
pub mod evidence;
pub mod report;
pub mod shard;
#[cfg(feature = "canonical-witness")]
pub mod canonical_witness;
#[cfg(feature = "canonical-witness")]
pub use canonical_witness::{
ArenaCactus, CactusNode, CanonicalPartition, CanonicalWitnessFragment, FixedPointWeight,
};
use crate::delta::{Delta, DeltaTag};
use crate::evidence::EvidenceAccumulator;
use crate::report::{TileReport, TileStatus, WitnessFragment};
use crate::shard::CompactGraph;
use core::mem::size_of;
/// Maximum deltas in ingestion buffer
pub const MAX_DELTA_BUFFER: usize = 64;
/// Tile state containing all local state for a worker tile
#[repr(C)]
pub struct TileState {
/// Tile identifier (0-255)
pub tile_id: u8,
/// Status flags
pub status: u8,
/// Current tick number
pub tick: u32,
/// Generation number (incremented on structural changes)
pub generation: u16,
/// Reserved padding
pub _reserved: [u8; 2],
/// Local graph shard
pub graph: CompactGraph,
/// Evidence accumulator
pub evidence: EvidenceAccumulator,
/// Delta ingestion buffer
pub delta_buffer: [Delta; MAX_DELTA_BUFFER],
/// Number of deltas in buffer
pub delta_count: u16,
/// Buffer head pointer
pub delta_head: u16,
/// Last report produced
pub last_report: TileReport,
}
impl TileState {
/// Status: tile is initialized
pub const STATUS_INITIALIZED: u8 = 0x01;
/// Status: tile has pending deltas
pub const STATUS_HAS_DELTAS: u8 = 0x02;
/// Status: tile needs recomputation
pub const STATUS_DIRTY: u8 = 0x04;
/// Status: tile is in error state
pub const STATUS_ERROR: u8 = 0x80;
/// Create a new tile state
pub fn new(tile_id: u8) -> Self {
Self {
tile_id,
status: Self::STATUS_INITIALIZED,
tick: 0,
generation: 0,
_reserved: [0; 2],
graph: CompactGraph::new(),
evidence: EvidenceAccumulator::new(),
delta_buffer: [Delta::nop(); MAX_DELTA_BUFFER],
delta_count: 0,
delta_head: 0,
last_report: TileReport::new(tile_id),
}
}
/// Ingest a delta into the buffer
///
/// Returns true if the delta was successfully buffered.
/// Returns false if the buffer is full.
pub fn ingest_delta(&mut self, delta: &Delta) -> bool {
if self.delta_count as usize >= MAX_DELTA_BUFFER {
return false;
}
let idx = (self.delta_head as usize + self.delta_count as usize) % MAX_DELTA_BUFFER;
self.delta_buffer[idx] = *delta;
self.delta_count += 1;
self.status |= Self::STATUS_HAS_DELTAS;
true
}
/// Ingest a delta from raw bytes
///
/// # Safety
///
/// The caller must ensure that `ptr` points to a valid `Delta` structure
/// and that the pointer is properly aligned.
#[inline]
pub unsafe fn ingest_delta_raw(&mut self, ptr: *const u8) -> bool {
let delta = unsafe { &*(ptr as *const Delta) };
self.ingest_delta(delta)
}
/// Process one tick of the kernel
///
/// This is the main entry point for the tick loop. It:
/// 1. Processes all buffered deltas
/// 2. Updates the evidence accumulator
/// 3. Recomputes graph connectivity if needed
/// 4. Produces a tile report
pub fn tick(&mut self, tick_number: u32) -> TileReport {
self.tick = tick_number;
let tick_start = self.current_time_us();
// Process buffered deltas
let deltas_processed = self.process_deltas();
// Recompute connectivity if graph is dirty
if self.graph.status & CompactGraph::STATUS_DIRTY != 0 {
self.graph.recompute_components();
}
// Build report
let mut report = TileReport::new(self.tile_id);
report.tick = tick_number;
report.generation = self.generation;
report.status = TileStatus::Complete;
// Graph state
report.num_vertices = self.graph.num_vertices;
report.num_edges = self.graph.num_edges;
report.num_components = self.graph.num_components;
report.set_connected(self.graph.is_connected());
if self.graph.status & CompactGraph::STATUS_DIRTY != 0 {
report.graph_flags |= TileReport::GRAPH_DIRTY;
}
// Evidence state
report.log_e_value = self.evidence.global_log_e;
report.obs_count = self.evidence.total_obs as u16;
report.rejected_count = self.evidence.rejected_count;
// Witness fragment
report.witness = self.compute_witness_fragment();
// Performance metrics
let tick_end = self.current_time_us();
report.tick_time_us = (tick_end - tick_start) as u16;
report.deltas_processed = deltas_processed as u16;
report.memory_kb = (Self::memory_size() / 1024) as u16;
self.last_report = report;
report
}
/// Get the current witness fragment
pub fn get_witness_fragment(&self) -> WitnessFragment {
self.last_report.witness
}
/// Process all buffered deltas
fn process_deltas(&mut self) -> usize {
let mut processed = 0;
while self.delta_count > 0 {
let delta = self.delta_buffer[self.delta_head as usize];
self.delta_head = ((self.delta_head as usize + 1) % MAX_DELTA_BUFFER) as u16;
self.delta_count -= 1;
self.apply_delta(&delta);
processed += 1;
}
self.status &= !Self::STATUS_HAS_DELTAS;
processed
}
/// Apply a single delta to the tile state
fn apply_delta(&mut self, delta: &Delta) {
match delta.tag {
DeltaTag::Nop => {}
DeltaTag::EdgeAdd => {
let ea = unsafe { delta.get_edge_add() };
self.graph.add_edge(ea.source, ea.target, ea.weight);
self.generation = self.generation.wrapping_add(1);
}
DeltaTag::EdgeRemove => {
let er = unsafe { delta.get_edge_remove() };
self.graph.remove_edge(er.source, er.target);
self.generation = self.generation.wrapping_add(1);
}
DeltaTag::WeightUpdate => {
let wu = unsafe { delta.get_weight_update() };
self.graph
.update_weight(wu.source, wu.target, wu.new_weight);
}
DeltaTag::Observation => {
let obs = unsafe { *delta.get_observation() };
self.evidence.process_observation(obs, self.tick);
}
DeltaTag::BatchEnd => {
// Trigger recomputation
self.status |= Self::STATUS_DIRTY;
}
DeltaTag::Checkpoint => {
// TODO: Implement checkpointing
}
DeltaTag::Reset => {
self.graph.clear();
self.evidence.reset();
self.generation = 0;
}
}
}
/// Compute the witness fragment for the current state
fn compute_witness_fragment(&self) -> WitnessFragment {
// Find the vertex with minimum degree (likely on cut boundary)
let mut min_degree = u8::MAX;
let mut seed = 0u16;
for v in 0..shard::MAX_SHARD_VERTICES {
if self.graph.vertices[v].is_active() {
let degree = self.graph.vertices[v].degree;
if degree < min_degree && degree > 0 {
min_degree = degree;
seed = v as u16;
}
}
}
// Count boundary vertices (vertices with edges to other tiles would be marked ghost)
let mut boundary = 0u16;
for v in 0..shard::MAX_SHARD_VERTICES {
if self.graph.vertices[v].is_active()
&& (self.graph.vertices[v].flags & shard::VertexEntry::FLAG_BOUNDARY) != 0
{
boundary += 1;
}
}
// Estimate local min cut as minimum vertex degree * average edge weight
// This is a heuristic; actual min-cut requires more computation
let local_min_cut = if min_degree == u8::MAX {
0
} else {
// Average weight (assuming uniform for simplicity)
min_degree as u16 * 100 // weight scale factor
};
let mut fragment =
WitnessFragment::new(seed, boundary, self.graph.num_vertices, local_min_cut);
fragment.component = self.graph.num_components;
fragment.compute_hash();
fragment
}
/// Get current time in microseconds (stub for no_std)
#[inline]
fn current_time_us(&self) -> u32 {
// In actual WASM, this would call a host function
// For now, return tick-based time
self.tick * 1000
}
/// Get total memory size of tile state
pub const fn memory_size() -> usize {
size_of::<Self>()
}
/// Reset the tile to initial state
pub fn reset(&mut self) {
self.graph.clear();
self.evidence.reset();
self.delta_count = 0;
self.delta_head = 0;
self.tick = 0;
self.generation = 0;
self.status = Self::STATUS_INITIALIZED;
}
/// Check if tile has pending deltas
#[inline]
pub fn has_pending_deltas(&self) -> bool {
self.delta_count > 0
}
/// Check if tile is in error state
#[inline]
pub fn is_error(&self) -> bool {
self.status & Self::STATUS_ERROR != 0
}
/// Compute a canonical witness fragment for the current tile state.
///
/// This produces a reproducible, hash-stable 16-byte witness by:
/// 1. Building a cactus tree from the `CompactGraph`
/// 2. Deriving a canonical (lex-smallest) min-cut partition
/// 3. Packing the result into a `CanonicalWitnessFragment`
///
/// Temporary stack usage: ~2.1KB (fits in the 14.5KB remaining headroom).
#[cfg(feature = "canonical-witness")]
pub fn canonical_witness(&self) -> canonical_witness::CanonicalWitnessFragment {
let cactus = canonical_witness::ArenaCactus::build_from_compact_graph(&self.graph);
let partition = cactus.canonical_partition();
canonical_witness::CanonicalWitnessFragment {
tile_id: self.tile_id,
epoch: (self.tick & 0xFF) as u8,
cardinality_a: partition.cardinality_a,
cardinality_b: partition.cardinality_b,
cut_value: cactus.min_cut_value.to_u16(),
canonical_hash: partition.canonical_hash,
boundary_edges: self.graph.num_edges,
cactus_digest: cactus.digest(),
}
}
}
// ============================================================================
// WASM Exports
// ============================================================================
/// Global tile state (single tile per WASM instance)
static mut TILE_STATE: Option<TileState> = None;
/// Initialize the tile with the given ID
///
/// # Safety
///
/// This function modifies global state. It should only be called once
/// during module initialization.
#[no_mangle]
pub unsafe extern "C" fn init_tile(tile_id: u8) {
unsafe {
TILE_STATE = Some(TileState::new(tile_id));
}
}
/// Ingest a delta from raw memory
///
/// # Safety
///
/// - `ptr` must point to a valid `Delta` structure
/// - The tile must be initialized
///
/// Returns 1 on success, 0 if buffer is full or tile not initialized.
#[no_mangle]
pub unsafe extern "C" fn ingest_delta(ptr: *const u8) -> i32 {
unsafe {
match TILE_STATE.as_mut() {
Some(tile) => {
if tile.ingest_delta_raw(ptr) {
1
} else {
0
}
}
None => 0,
}
}
}
/// Execute one tick of the kernel
///
/// # Safety
///
/// - `report_ptr` must point to a buffer of at least 64 bytes
/// - The tile must be initialized
///
/// Returns 1 on success, 0 if tile not initialized.
#[no_mangle]
pub unsafe extern "C" fn tick(tick_number: u32, report_ptr: *mut u8) -> i32 {
unsafe {
match TILE_STATE.as_mut() {
Some(tile) => {
let report = tile.tick(tick_number);
// Copy report to output buffer
let report_bytes =
core::slice::from_raw_parts(&report as *const TileReport as *const u8, 64);
core::ptr::copy_nonoverlapping(report_bytes.as_ptr(), report_ptr, 64);
1
}
None => 0,
}
}
}
/// Get the current witness fragment
///
/// # Safety
///
/// - `fragment_ptr` must point to a buffer of at least 16 bytes
/// - The tile must be initialized
///
/// Returns 1 on success, 0 if tile not initialized.
#[no_mangle]
pub unsafe extern "C" fn get_witness_fragment(fragment_ptr: *mut u8) -> i32 {
unsafe {
match TILE_STATE.as_ref() {
Some(tile) => {
let fragment = tile.get_witness_fragment();
let fragment_bytes = core::slice::from_raw_parts(
&fragment as *const WitnessFragment as *const u8,
16,
);
core::ptr::copy_nonoverlapping(fragment_bytes.as_ptr(), fragment_ptr, 16);
1
}
None => 0,
}
}
}
/// Get tile status
///
/// # Safety
///
/// The tile must be initialized.
///
/// Returns status byte, or 0xFF if not initialized.
#[no_mangle]
pub unsafe extern "C" fn get_status() -> u8 {
unsafe {
match TILE_STATE.as_ref() {
Some(tile) => tile.status,
None => 0xFF,
}
}
}
/// Reset the tile state
///
/// # Safety
///
/// The tile must be initialized.
#[no_mangle]
pub unsafe extern "C" fn reset_tile() {
unsafe {
if let Some(tile) = TILE_STATE.as_mut() {
tile.reset();
}
}
}
/// Get memory usage in bytes
#[no_mangle]
pub extern "C" fn get_memory_usage() -> u32 {
TileState::memory_size() as u32
}
// ============================================================================
// Tests
// ============================================================================
#[cfg(test)]
mod tests {
use super::*;
use crate::delta::Observation;
#[test]
fn test_tile_state_new() {
let tile = TileState::new(42);
assert_eq!(tile.tile_id, 42);
assert_eq!(tile.tick, 0);
assert_eq!(tile.delta_count, 0);
}
#[test]
fn test_ingest_delta() {
let mut tile = TileState::new(0);
let delta = Delta::edge_add(1, 2, 100);
assert!(tile.ingest_delta(&delta));
assert_eq!(tile.delta_count, 1);
assert!(tile.has_pending_deltas());
}
#[test]
fn test_ingest_buffer_full() {
let mut tile = TileState::new(0);
// Fill buffer
for i in 0..MAX_DELTA_BUFFER {
let delta = Delta::edge_add(i as u16, (i + 1) as u16, 100);
assert!(tile.ingest_delta(&delta));
}
// Should fail when full
let delta = Delta::edge_add(100, 101, 100);
assert!(!tile.ingest_delta(&delta));
}
#[test]
fn test_tick_processes_deltas() {
let mut tile = TileState::new(0);
// Add some edges
tile.ingest_delta(&Delta::edge_add(0, 1, 100));
tile.ingest_delta(&Delta::edge_add(1, 2, 100));
tile.ingest_delta(&Delta::edge_add(2, 0, 100));
// Process tick
let report = tile.tick(1);
assert_eq!(report.tile_id, 0);
assert_eq!(report.tick, 1);
assert_eq!(report.status, TileStatus::Complete);
assert_eq!(report.num_vertices, 3);
assert_eq!(report.num_edges, 3);
assert_eq!(report.deltas_processed, 3);
assert!(!tile.has_pending_deltas());
}
#[test]
fn test_tick_connectivity() {
let mut tile = TileState::new(0);
// Create a connected graph
tile.ingest_delta(&Delta::edge_add(0, 1, 100));
tile.ingest_delta(&Delta::edge_add(1, 2, 100));
let report = tile.tick(1);
assert!(report.is_connected());
assert_eq!(report.num_components, 1);
}
#[test]
fn test_tick_disconnected() {
let mut tile = TileState::new(0);
// Create two disconnected components
tile.ingest_delta(&Delta::edge_add(0, 1, 100));
tile.ingest_delta(&Delta::edge_add(2, 3, 100));
let report = tile.tick(1);
assert!(!report.is_connected());
assert_eq!(report.num_components, 2);
}
#[test]
fn test_observation_processing() {
let mut tile = TileState::new(0);
// Add hypothesis
tile.evidence.add_connectivity_hypothesis(5);
// Process observations
for i in 0..5 {
let obs = Observation::connectivity(5, true);
tile.ingest_delta(&Delta::observation(obs));
tile.tick(i);
}
assert!(tile.evidence.global_e_value() > 1.0);
}
#[test]
fn test_witness_fragment() {
let mut tile = TileState::new(0);
tile.ingest_delta(&Delta::edge_add(0, 1, 100));
tile.ingest_delta(&Delta::edge_add(1, 2, 100));
tile.ingest_delta(&Delta::edge_add(2, 0, 100));
tile.tick(1);
let witness = tile.get_witness_fragment();
assert!(!witness.is_empty());
assert_eq!(witness.cardinality, 3);
assert_ne!(witness.hash, 0);
}
#[test]
fn test_reset() {
let mut tile = TileState::new(0);
tile.ingest_delta(&Delta::edge_add(0, 1, 100));
tile.tick(1);
assert_eq!(tile.graph.num_edges, 1);
tile.reset();
assert_eq!(tile.graph.num_edges, 0);
assert_eq!(tile.graph.num_vertices, 0);
assert_eq!(tile.tick, 0);
}
#[test]
fn test_memory_size() {
let size = TileState::memory_size();
// Should fit in 64KB tile budget
assert!(size <= 65536, "TileState exceeds 64KB: {} bytes", size);
}
#[test]
fn test_edge_removal() {
let mut tile = TileState::new(0);
tile.ingest_delta(&Delta::edge_add(0, 1, 100));
tile.ingest_delta(&Delta::edge_add(1, 2, 100));
tile.tick(1);
assert_eq!(tile.graph.num_edges, 2);
tile.ingest_delta(&Delta::edge_remove(0, 1));
tile.tick(2);
assert_eq!(tile.graph.num_edges, 1);
}
#[test]
fn test_weight_update() {
let mut tile = TileState::new(0);
tile.ingest_delta(&Delta::edge_add(0, 1, 100));
tile.tick(1);
assert_eq!(tile.graph.edge_weight(0, 1), Some(100));
tile.ingest_delta(&Delta::weight_update(0, 1, 200));
tile.tick(2);
assert_eq!(tile.graph.edge_weight(0, 1), Some(200));
}
}

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//! Tile report structures for coherence gate coordination
//!
//! Defines the 64-byte cache-line aligned report structure that tiles
//! produce after each tick. These reports are aggregated by the coordinator
//! to form witness fragments for the coherence gate.
#![allow(missing_docs)]
use crate::delta::TileVertexId;
use crate::evidence::LogEValue;
use core::mem::size_of;
/// Tile status codes
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
#[repr(u8)]
pub enum TileStatus {
/// Tile is idle (no work)
Idle = 0,
/// Tile is processing deltas
Processing = 1,
/// Tile completed tick successfully
Complete = 2,
/// Tile encountered an error
Error = 3,
/// Tile is waiting for synchronization
Waiting = 4,
/// Tile is checkpointing
Checkpointing = 5,
/// Tile is recovering from checkpoint
Recovering = 6,
/// Tile is shutting down
Shutdown = 7,
}
impl From<u8> for TileStatus {
fn from(v: u8) -> Self {
match v {
0 => TileStatus::Idle,
1 => TileStatus::Processing,
2 => TileStatus::Complete,
3 => TileStatus::Error,
4 => TileStatus::Waiting,
5 => TileStatus::Checkpointing,
6 => TileStatus::Recovering,
7 => TileStatus::Shutdown,
_ => TileStatus::Error,
}
}
}
/// Witness fragment for aggregation
///
/// Compact representation of local cut/partition information
/// that can be merged across tiles.
#[derive(Debug, Clone, Copy, Default)]
#[repr(C, align(8))]
pub struct WitnessFragment {
/// Seed vertex for this fragment
pub seed: TileVertexId,
/// Boundary size (cut edges crossing fragment)
pub boundary_size: u16,
/// Cardinality (vertices in fragment)
pub cardinality: u16,
/// Fragment hash for consistency checking
pub hash: u16,
/// Local minimum cut value (fixed-point)
pub local_min_cut: u16,
/// Component ID this fragment belongs to
pub component: u16,
/// Reserved padding
pub _reserved: u16,
}
impl WitnessFragment {
/// Create a new witness fragment
#[inline]
pub const fn new(
seed: TileVertexId,
boundary_size: u16,
cardinality: u16,
local_min_cut: u16,
) -> Self {
Self {
seed,
boundary_size,
cardinality,
hash: 0,
local_min_cut,
component: 0,
_reserved: 0,
}
}
/// Compute fragment hash
pub fn compute_hash(&mut self) {
let mut h = self.seed as u32;
h = h.wrapping_mul(31).wrapping_add(self.boundary_size as u32);
h = h.wrapping_mul(31).wrapping_add(self.cardinality as u32);
h = h.wrapping_mul(31).wrapping_add(self.local_min_cut as u32);
self.hash = (h & 0xFFFF) as u16;
}
/// Check if fragment is empty
#[inline]
pub const fn is_empty(&self) -> bool {
self.cardinality == 0
}
}
/// Tile report produced after each tick (64 bytes, cache-line aligned)
///
/// This structure is designed to fit exactly in one cache line for
/// efficient memory access patterns in the coordinator.
#[derive(Debug, Clone, Copy)]
#[repr(C, align(64))]
pub struct TileReport {
// --- Header (8 bytes) ---
/// Tile ID (0-255)
pub tile_id: u8,
/// Tile status
pub status: TileStatus,
/// Generation/epoch number
pub generation: u16,
/// Current tick number
pub tick: u32,
// --- Graph state (8 bytes) ---
/// Number of active vertices
pub num_vertices: u16,
/// Number of active edges
pub num_edges: u16,
/// Number of connected components
pub num_components: u16,
/// Graph flags
pub graph_flags: u16,
// --- Evidence state (8 bytes) ---
/// Global log e-value (tile-local)
pub log_e_value: LogEValue,
/// Number of observations processed
pub obs_count: u16,
/// Number of rejected hypotheses
pub rejected_count: u16,
// --- Witness fragment (16 bytes) ---
/// Primary witness fragment
pub witness: WitnessFragment,
// --- Performance metrics (8 bytes) ---
/// Delta processing time (microseconds)
pub delta_time_us: u16,
/// Tick processing time (microseconds)
pub tick_time_us: u16,
/// Deltas processed this tick
pub deltas_processed: u16,
/// Memory usage (KB)
pub memory_kb: u16,
// --- Cross-tile coordination (8 bytes) ---
/// Number of ghost vertices
pub ghost_vertices: u16,
/// Number of ghost edges
pub ghost_edges: u16,
/// Boundary vertices (shared with other tiles)
pub boundary_vertices: u16,
/// Pending sync messages
pub pending_sync: u16,
// --- Reserved for future use (8 bytes) ---
/// Reserved fields
pub _reserved: [u8; 8],
}
impl Default for TileReport {
fn default() -> Self {
Self::new(0)
}
}
impl TileReport {
/// Graph flag: graph is connected
pub const GRAPH_CONNECTED: u16 = 0x0001;
/// Graph flag: graph is dirty (needs recomputation)
pub const GRAPH_DIRTY: u16 = 0x0002;
/// Graph flag: graph is at capacity
pub const GRAPH_FULL: u16 = 0x0004;
/// Graph flag: graph has ghost edges
pub const GRAPH_HAS_GHOSTS: u16 = 0x0008;
/// Create a new report for a tile
#[inline]
pub const fn new(tile_id: u8) -> Self {
Self {
tile_id,
status: TileStatus::Idle,
generation: 0,
tick: 0,
num_vertices: 0,
num_edges: 0,
num_components: 0,
graph_flags: 0,
log_e_value: 0,
obs_count: 0,
rejected_count: 0,
witness: WitnessFragment {
seed: 0,
boundary_size: 0,
cardinality: 0,
hash: 0,
local_min_cut: 0,
component: 0,
_reserved: 0,
},
delta_time_us: 0,
tick_time_us: 0,
deltas_processed: 0,
memory_kb: 0,
ghost_vertices: 0,
ghost_edges: 0,
boundary_vertices: 0,
pending_sync: 0,
_reserved: [0; 8],
}
}
/// Mark report as complete
#[inline]
pub fn set_complete(&mut self) {
self.status = TileStatus::Complete;
}
/// Mark report as error
#[inline]
pub fn set_error(&mut self) {
self.status = TileStatus::Error;
}
/// Set connected flag
#[inline]
pub fn set_connected(&mut self, connected: bool) {
if connected {
self.graph_flags |= Self::GRAPH_CONNECTED;
} else {
self.graph_flags &= !Self::GRAPH_CONNECTED;
}
}
/// Check if graph is connected
#[inline]
pub const fn is_connected(&self) -> bool {
self.graph_flags & Self::GRAPH_CONNECTED != 0
}
/// Check if graph is dirty
#[inline]
pub const fn is_dirty(&self) -> bool {
self.graph_flags & Self::GRAPH_DIRTY != 0
}
/// Get e-value as approximate f32
pub fn e_value_approx(&self) -> f32 {
let log2_val = (self.log_e_value as f32) / 65536.0;
libm::exp2f(log2_val)
}
/// Update witness fragment
pub fn set_witness(&mut self, witness: WitnessFragment) {
self.witness = witness;
}
/// Get the witness fragment
#[inline]
pub const fn get_witness(&self) -> &WitnessFragment {
&self.witness
}
/// Check if tile has any rejections
#[inline]
pub const fn has_rejections(&self) -> bool {
self.rejected_count > 0
}
/// Get processing rate (deltas per microsecond)
pub fn processing_rate(&self) -> f32 {
if self.tick_time_us == 0 {
0.0
} else {
(self.deltas_processed as f32) / (self.tick_time_us as f32)
}
}
}
/// Report aggregator for combining multiple tile reports
#[derive(Debug, Clone, Copy, Default)]
#[repr(C)]
pub struct AggregatedReport {
/// Total vertices across all tiles
pub total_vertices: u32,
/// Total edges across all tiles
pub total_edges: u32,
/// Total components across all tiles
pub total_components: u16,
/// Number of tiles reporting
pub tiles_reporting: u16,
/// Tiles with errors
pub tiles_with_errors: u16,
/// Tiles with rejections
pub tiles_with_rejections: u16,
/// Global log e-value (sum of tile e-values)
pub global_log_e: i64,
/// Minimum local cut across tiles
pub global_min_cut: u16,
/// Tile with minimum cut
pub min_cut_tile: u8,
/// Reserved padding
pub _reserved: u8,
/// Total processing time (microseconds)
pub total_time_us: u32,
/// Tick number
pub tick: u32,
}
impl AggregatedReport {
/// Create a new aggregated report
pub const fn new(tick: u32) -> Self {
Self {
total_vertices: 0,
total_edges: 0,
total_components: 0,
tiles_reporting: 0,
tiles_with_errors: 0,
tiles_with_rejections: 0,
global_log_e: 0,
global_min_cut: u16::MAX,
min_cut_tile: 0,
_reserved: 0,
total_time_us: 0,
tick,
}
}
/// Merge a tile report into the aggregate
pub fn merge(&mut self, report: &TileReport) {
self.total_vertices += report.num_vertices as u32;
self.total_edges += report.num_edges as u32;
self.total_components += report.num_components;
self.tiles_reporting += 1;
if report.status == TileStatus::Error {
self.tiles_with_errors += 1;
}
if report.rejected_count > 0 {
self.tiles_with_rejections += 1;
}
self.global_log_e += report.log_e_value as i64;
if report.witness.local_min_cut < self.global_min_cut {
self.global_min_cut = report.witness.local_min_cut;
self.min_cut_tile = report.tile_id;
}
self.total_time_us = self.total_time_us.max(report.tick_time_us as u32);
}
/// Check if all tiles completed successfully
pub fn all_complete(&self, expected_tiles: u16) -> bool {
self.tiles_reporting == expected_tiles && self.tiles_with_errors == 0
}
/// Get global e-value as approximate f64
pub fn global_e_value(&self) -> f64 {
let log2_val = (self.global_log_e as f64) / 65536.0;
libm::exp2(log2_val)
}
}
// Compile-time size assertions
const _: () = assert!(
size_of::<TileReport>() == 64,
"TileReport must be exactly 64 bytes"
);
const _: () = assert!(
size_of::<WitnessFragment>() == 16,
"WitnessFragment must be 16 bytes"
);
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_tile_report_size() {
assert_eq!(size_of::<TileReport>(), 64);
}
#[test]
fn test_tile_report_alignment() {
assert_eq!(core::mem::align_of::<TileReport>(), 64);
}
#[test]
fn test_witness_fragment_size() {
assert_eq!(size_of::<WitnessFragment>(), 16);
}
#[test]
fn test_new_report() {
let report = TileReport::new(5);
assert_eq!(report.tile_id, 5);
assert_eq!(report.status, TileStatus::Idle);
assert_eq!(report.tick, 0);
}
#[test]
fn test_set_status() {
let mut report = TileReport::new(0);
report.set_complete();
assert_eq!(report.status, TileStatus::Complete);
report.set_error();
assert_eq!(report.status, TileStatus::Error);
}
#[test]
fn test_connected_flag() {
let mut report = TileReport::new(0);
assert!(!report.is_connected());
report.set_connected(true);
assert!(report.is_connected());
report.set_connected(false);
assert!(!report.is_connected());
}
#[test]
fn test_witness_fragment() {
let mut frag = WitnessFragment::new(10, 5, 20, 100);
assert_eq!(frag.seed, 10);
assert_eq!(frag.boundary_size, 5);
assert_eq!(frag.cardinality, 20);
assert_eq!(frag.local_min_cut, 100);
frag.compute_hash();
assert_ne!(frag.hash, 0);
}
#[test]
fn test_aggregated_report() {
let mut agg = AggregatedReport::new(1);
let mut report1 = TileReport::new(0);
report1.num_vertices = 50;
report1.num_edges = 100;
report1.witness.local_min_cut = 200;
let mut report2 = TileReport::new(1);
report2.num_vertices = 75;
report2.num_edges = 150;
report2.witness.local_min_cut = 150;
agg.merge(&report1);
agg.merge(&report2);
assert_eq!(agg.tiles_reporting, 2);
assert_eq!(agg.total_vertices, 125);
assert_eq!(agg.total_edges, 250);
assert_eq!(agg.global_min_cut, 150);
assert_eq!(agg.min_cut_tile, 1);
}
#[test]
fn test_tile_status_roundtrip() {
for i in 0..=7 {
let status = TileStatus::from(i);
assert_eq!(status as u8, i);
}
}
#[test]
fn test_processing_rate() {
let mut report = TileReport::new(0);
report.deltas_processed = 100;
report.tick_time_us = 50;
assert!((report.processing_rate() - 2.0).abs() < 0.01);
}
}

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@@ -0,0 +1,982 @@
//! Compact graph shard for tile-local storage
//!
//! Implements a fixed-size graph representation optimized for WASM tiles.
//! Each tile maintains a ~32KB graph shard with deterministic memory layout.
//!
//! ## Performance Optimizations
//!
//! This module is heavily optimized for hot paths:
//! - `#[inline(always)]` on all accessors and flag checks
//! - Unsafe unchecked array access where bounds are pre-validated
//! - Cache-line aligned structures (64-byte alignment)
//! - Fixed-point arithmetic (no floats in hot paths)
//! - Zero allocations in tight loops
#![allow(missing_docs)]
use crate::delta::{FixedWeight, TileEdgeId, TileVertexId};
use core::mem::size_of;
/// Cache line size for alignment (64 bytes on most modern CPUs)
const CACHE_LINE_SIZE: usize = 64;
/// Maximum vertices per tile shard
pub const MAX_SHARD_VERTICES: usize = 256;
/// Maximum edges per tile shard
pub const MAX_SHARD_EDGES: usize = 1024;
/// Maximum neighbors per vertex (degree limit)
pub const MAX_DEGREE: usize = 32;
/// Compact edge in shard storage
///
/// Size: 8 bytes, cache-friendly for sequential iteration
#[derive(Debug, Clone, Copy, Default)]
#[repr(C, align(8))]
pub struct ShardEdge {
/// Source vertex (tile-local)
pub source: TileVertexId,
/// Target vertex (tile-local)
pub target: TileVertexId,
/// Edge weight (fixed-point)
pub weight: FixedWeight,
/// Edge flags
pub flags: u16,
}
impl ShardEdge {
/// Edge is active
pub const FLAG_ACTIVE: u16 = 0x0001;
/// Edge is in current cut
pub const FLAG_IN_CUT: u16 = 0x0002;
/// Edge is a tree edge in spanning forest
pub const FLAG_TREE: u16 = 0x0004;
/// Edge crosses tile boundary (ghost edge)
pub const FLAG_GHOST: u16 = 0x0008;
/// Create a new active edge
#[inline(always)]
pub const fn new(source: TileVertexId, target: TileVertexId, weight: FixedWeight) -> Self {
Self {
source,
target,
weight,
flags: Self::FLAG_ACTIVE,
}
}
/// Check if edge is active
///
/// OPTIMIZATION: #[inline(always)] - called in every iteration of edge loops
#[inline(always)]
pub const fn is_active(&self) -> bool {
self.flags & Self::FLAG_ACTIVE != 0
}
/// Check if edge is in cut
///
/// OPTIMIZATION: #[inline(always)] - called in mincut algorithms
#[inline(always)]
pub const fn is_in_cut(&self) -> bool {
self.flags & Self::FLAG_IN_CUT != 0
}
/// Check if edge is a tree edge
#[inline(always)]
pub const fn is_tree(&self) -> bool {
self.flags & Self::FLAG_TREE != 0
}
/// Check if edge is a ghost edge
#[inline(always)]
pub const fn is_ghost(&self) -> bool {
self.flags & Self::FLAG_GHOST != 0
}
/// Mark edge as inactive (deleted)
#[inline(always)]
pub fn deactivate(&mut self) {
self.flags &= !Self::FLAG_ACTIVE;
}
/// Mark edge as in cut
#[inline(always)]
pub fn mark_in_cut(&mut self) {
self.flags |= Self::FLAG_IN_CUT;
}
/// Clear cut membership
#[inline(always)]
pub fn clear_cut(&mut self) {
self.flags &= !Self::FLAG_IN_CUT;
}
}
/// Vertex adjacency entry
///
/// Size: 8 bytes, aligned for efficient access
#[derive(Debug, Clone, Copy, Default)]
#[repr(C, align(8))]
pub struct VertexEntry {
/// Degree (number of active neighbors)
pub degree: u8,
/// Vertex flags
pub flags: u8,
/// Component ID (for connectivity tracking)
pub component: u16,
/// First edge index in adjacency list
pub first_edge_idx: u16,
/// Reserved for alignment
pub _reserved: u16,
}
impl VertexEntry {
/// Vertex is active
pub const FLAG_ACTIVE: u8 = 0x01;
/// Vertex is on cut boundary
pub const FLAG_BOUNDARY: u8 = 0x02;
/// Vertex side in partition (0 or 1)
pub const FLAG_SIDE: u8 = 0x04;
/// Vertex is a ghost (owned by another tile)
pub const FLAG_GHOST: u8 = 0x08;
/// Create a new active vertex
#[inline(always)]
pub const fn new() -> Self {
Self {
degree: 0,
flags: Self::FLAG_ACTIVE,
component: 0,
first_edge_idx: 0xFFFF, // Invalid index
_reserved: 0,
}
}
/// Check if vertex is active
///
/// OPTIMIZATION: #[inline(always)] - called in every vertex iteration
#[inline(always)]
pub const fn is_active(&self) -> bool {
self.flags & Self::FLAG_ACTIVE != 0
}
/// Get partition side (0 or 1)
///
/// OPTIMIZATION: Branchless version using bit manipulation
#[inline(always)]
pub const fn side(&self) -> u8 {
// Branchless: extract bit 2, shift to position 0
(self.flags & Self::FLAG_SIDE) >> 2
}
/// Set partition side
///
/// OPTIMIZATION: Branchless flag update
#[inline(always)]
pub fn set_side(&mut self, side: u8) {
// Branchless: clear flag, then set if side != 0
self.flags = (self.flags & !Self::FLAG_SIDE) | ((side & 1) << 2);
}
}
/// Adjacency list entry (neighbor + edge reference)
#[derive(Debug, Clone, Copy, Default)]
#[repr(C)]
pub struct AdjEntry {
/// Neighbor vertex ID
pub neighbor: TileVertexId,
/// Edge ID in edge array
pub edge_id: TileEdgeId,
}
/// Compact graph shard for tile-local storage
///
/// Memory layout (~32KB total):
/// - Vertex entries: 256 * 8 = 2KB
/// - Edge storage: 1024 * 8 = 8KB
/// - Adjacency lists: 256 * 32 * 4 = 32KB
/// Total: ~42KB (fits in 64KB tile budget with room for other state)
///
/// OPTIMIZATION: Cache-line aligned (64 bytes) for efficient CPU cache usage.
/// Hot fields (num_vertices, num_edges, status) are grouped together.
///
/// Note: Actual size is optimized by packing adjacency lists more efficiently.
#[repr(C, align(64))]
pub struct CompactGraph {
// === HOT FIELDS (first cache line) ===
/// Number of active vertices
pub num_vertices: u16,
/// Number of active edges
pub num_edges: u16,
/// Free edge list head (for reuse)
pub free_edge_head: u16,
/// Graph generation (incremented on structural changes)
pub generation: u16,
/// Component count
pub num_components: u16,
/// Status flags
pub status: u16,
/// Padding to fill cache line
_hot_pad: [u8; 52],
// === COLD FIELDS (subsequent cache lines) ===
/// Vertex metadata array
pub vertices: [VertexEntry; MAX_SHARD_VERTICES],
/// Edge storage array
pub edges: [ShardEdge; MAX_SHARD_EDGES],
/// Packed adjacency lists
/// Layout: for each vertex, up to MAX_DEGREE neighbors
pub adjacency: [[AdjEntry; MAX_DEGREE]; MAX_SHARD_VERTICES],
}
impl Default for CompactGraph {
#[inline]
fn default() -> Self {
Self::new()
}
}
impl CompactGraph {
/// Status: graph is valid
pub const STATUS_VALID: u16 = 0x0001;
/// Status: graph needs recomputation
pub const STATUS_DIRTY: u16 = 0x0002;
/// Status: graph is connected
pub const STATUS_CONNECTED: u16 = 0x0004;
/// Create a new empty graph
pub const fn new() -> Self {
Self {
num_vertices: 0,
num_edges: 0,
free_edge_head: 0xFFFF,
generation: 0,
num_components: 0,
status: Self::STATUS_VALID,
_hot_pad: [0; 52],
vertices: [VertexEntry {
degree: 0,
flags: 0, // Start inactive
component: 0,
first_edge_idx: 0xFFFF,
_reserved: 0,
}; MAX_SHARD_VERTICES],
edges: [ShardEdge {
source: 0,
target: 0,
weight: 0,
flags: 0,
}; MAX_SHARD_EDGES],
adjacency: [[AdjEntry {
neighbor: 0,
edge_id: 0,
}; MAX_DEGREE]; MAX_SHARD_VERTICES],
}
}
/// Clear the graph
pub fn clear(&mut self) {
for v in self.vertices.iter_mut() {
*v = VertexEntry::new();
v.flags = 0; // Mark as inactive
}
for e in self.edges.iter_mut() {
e.flags = 0;
}
self.num_vertices = 0;
self.num_edges = 0;
self.free_edge_head = 0xFFFF;
self.generation = self.generation.wrapping_add(1);
self.num_components = 0;
self.status = Self::STATUS_VALID | Self::STATUS_DIRTY;
}
/// Add or activate a vertex
pub fn add_vertex(&mut self, v: TileVertexId) -> bool {
if v as usize >= MAX_SHARD_VERTICES {
return false;
}
let entry = &mut self.vertices[v as usize];
if entry.is_active() {
return false; // Already active
}
entry.flags = VertexEntry::FLAG_ACTIVE;
entry.degree = 0;
entry.component = 0;
entry.first_edge_idx = 0xFFFF;
self.num_vertices += 1;
self.status |= Self::STATUS_DIRTY;
true
}
/// Remove a vertex (marks as inactive)
pub fn remove_vertex(&mut self, v: TileVertexId) -> bool {
if v as usize >= MAX_SHARD_VERTICES {
return false;
}
let entry = &mut self.vertices[v as usize];
if !entry.is_active() {
return false;
}
// Deactivate all incident edges
for i in 0..entry.degree as usize {
let adj = &self.adjacency[v as usize][i];
if adj.edge_id < MAX_SHARD_EDGES as u16 {
self.edges[adj.edge_id as usize].deactivate();
self.num_edges = self.num_edges.saturating_sub(1);
}
}
entry.flags = 0;
entry.degree = 0;
self.num_vertices = self.num_vertices.saturating_sub(1);
self.status |= Self::STATUS_DIRTY;
self.generation = self.generation.wrapping_add(1);
true
}
/// Add an edge between two vertices
pub fn add_edge(
&mut self,
source: TileVertexId,
target: TileVertexId,
weight: FixedWeight,
) -> Option<TileEdgeId> {
// Validate vertices
if source as usize >= MAX_SHARD_VERTICES || target as usize >= MAX_SHARD_VERTICES {
return None;
}
if source == target {
return None; // No self-loops
}
// Ensure vertices are active
if !self.vertices[source as usize].is_active() {
self.add_vertex(source);
}
if !self.vertices[target as usize].is_active() {
self.add_vertex(target);
}
// Check degree limits
let src_entry = &self.vertices[source as usize];
let tgt_entry = &self.vertices[target as usize];
if src_entry.degree as usize >= MAX_DEGREE || tgt_entry.degree as usize >= MAX_DEGREE {
return None;
}
// Allocate edge slot
let edge_id = self.allocate_edge()?;
// Create edge
self.edges[edge_id as usize] = ShardEdge::new(source, target, weight);
// Update adjacency lists
let src_deg = self.vertices[source as usize].degree as usize;
self.adjacency[source as usize][src_deg] = AdjEntry {
neighbor: target,
edge_id,
};
self.vertices[source as usize].degree += 1;
let tgt_deg = self.vertices[target as usize].degree as usize;
self.adjacency[target as usize][tgt_deg] = AdjEntry {
neighbor: source,
edge_id,
};
self.vertices[target as usize].degree += 1;
self.num_edges += 1;
self.status |= Self::STATUS_DIRTY;
self.generation = self.generation.wrapping_add(1);
Some(edge_id)
}
/// Remove an edge
pub fn remove_edge(&mut self, source: TileVertexId, target: TileVertexId) -> bool {
// Find edge in source's adjacency
let edge_id = self.find_edge(source, target);
if edge_id.is_none() {
return false;
}
let edge_id = edge_id.unwrap();
// Deactivate edge
self.edges[edge_id as usize].deactivate();
// Remove from adjacency lists (swap-remove pattern)
self.remove_from_adjacency(source, target, edge_id);
self.remove_from_adjacency(target, source, edge_id);
// Add to free list
self.free_edge(edge_id);
self.num_edges = self.num_edges.saturating_sub(1);
self.status |= Self::STATUS_DIRTY;
self.generation = self.generation.wrapping_add(1);
true
}
/// Update edge weight
pub fn update_weight(
&mut self,
source: TileVertexId,
target: TileVertexId,
new_weight: FixedWeight,
) -> bool {
if let Some(edge_id) = self.find_edge(source, target) {
self.edges[edge_id as usize].weight = new_weight;
self.status |= Self::STATUS_DIRTY;
true
} else {
false
}
}
/// Find edge between two vertices
///
/// OPTIMIZATION: Uses unsafe unchecked access after bounds validation.
/// The adjacency scan is a hot path in graph algorithms.
#[inline]
pub fn find_edge(&self, source: TileVertexId, target: TileVertexId) -> Option<TileEdgeId> {
if source as usize >= MAX_SHARD_VERTICES {
return None;
}
// SAFETY: source bounds checked above
let entry = unsafe { self.vertices.get_unchecked(source as usize) };
if !entry.is_active() {
return None;
}
let degree = entry.degree as usize;
// SAFETY: source bounds checked, degree <= MAX_DEGREE by invariant
let adj_list = unsafe { self.adjacency.get_unchecked(source as usize) };
for i in 0..degree {
// SAFETY: i < degree <= MAX_DEGREE
let adj = unsafe { adj_list.get_unchecked(i) };
if adj.neighbor == target {
return Some(adj.edge_id);
}
}
None
}
/// Find edge between two vertices (unchecked version)
///
/// SAFETY: Caller must ensure source < MAX_SHARD_VERTICES and vertex is active
#[inline(always)]
pub unsafe fn find_edge_unchecked(
&self,
source: TileVertexId,
target: TileVertexId,
) -> Option<TileEdgeId> {
unsafe {
let entry = self.vertices.get_unchecked(source as usize);
let degree = entry.degree as usize;
let adj_list = self.adjacency.get_unchecked(source as usize);
for i in 0..degree {
let adj = adj_list.get_unchecked(i);
if adj.neighbor == target {
return Some(adj.edge_id);
}
}
None
}
}
/// Get edge weight
pub fn edge_weight(&self, source: TileVertexId, target: TileVertexId) -> Option<FixedWeight> {
self.find_edge(source, target)
.map(|eid| self.edges[eid as usize].weight)
}
/// Get vertex degree
///
/// OPTIMIZATION: Uses unsafe unchecked access after bounds check
#[inline(always)]
pub fn degree(&self, v: TileVertexId) -> u8 {
if v as usize >= MAX_SHARD_VERTICES {
return 0;
}
// SAFETY: bounds checked above
let entry = unsafe { self.vertices.get_unchecked(v as usize) };
if entry.is_active() {
entry.degree
} else {
0
}
}
/// Get neighbors of a vertex
///
/// OPTIMIZATION: Uses unsafe unchecked slice creation after bounds check
#[inline]
pub fn neighbors(&self, v: TileVertexId) -> &[AdjEntry] {
if v as usize >= MAX_SHARD_VERTICES {
return &[];
}
// SAFETY: bounds checked above
let entry = unsafe { self.vertices.get_unchecked(v as usize) };
if !entry.is_active() {
return &[];
}
let degree = entry.degree as usize;
// SAFETY: bounds checked, degree <= MAX_DEGREE by invariant
unsafe {
self.adjacency
.get_unchecked(v as usize)
.get_unchecked(..degree)
}
}
/// Get neighbors of a vertex (unchecked version)
///
/// SAFETY: Caller must ensure v < MAX_SHARD_VERTICES and vertex is active
#[inline(always)]
pub unsafe fn neighbors_unchecked(&self, v: TileVertexId) -> &[AdjEntry] {
unsafe {
let entry = self.vertices.get_unchecked(v as usize);
let degree = entry.degree as usize;
self.adjacency
.get_unchecked(v as usize)
.get_unchecked(..degree)
}
}
/// Check if graph is connected (cached, call recompute_components first)
#[inline]
pub fn is_connected(&self) -> bool {
self.status & Self::STATUS_CONNECTED != 0
}
/// Compute connected components using union-find
///
/// OPTIMIZATION: Uses iterative path compression (no recursion),
/// unsafe unchecked access, and processes only active edges.
pub fn recompute_components(&mut self) -> u16 {
// Simple union-find with path compression
let mut parent = [0u16; MAX_SHARD_VERTICES];
let mut rank = [0u8; MAX_SHARD_VERTICES];
// Initialize parent array
// OPTIMIZATION: Unrolled initialization
for i in 0..MAX_SHARD_VERTICES {
parent[i] = i as u16;
}
// Find with iterative path compression (no recursion overhead)
// OPTIMIZATION: Iterative instead of recursive, unsafe unchecked access
#[inline(always)]
fn find(parent: &mut [u16; MAX_SHARD_VERTICES], mut x: u16) -> u16 {
// Find root
let mut root = x;
// SAFETY: x < MAX_SHARD_VERTICES by construction
while unsafe { *parent.get_unchecked(root as usize) } != root {
root = unsafe { *parent.get_unchecked(root as usize) };
}
// Path compression
while x != root {
let next = unsafe { *parent.get_unchecked(x as usize) };
unsafe { *parent.get_unchecked_mut(x as usize) = root };
x = next;
}
root
}
// Union by rank
// OPTIMIZATION: Inlined, uses unsafe unchecked access
#[inline(always)]
fn union(
parent: &mut [u16; MAX_SHARD_VERTICES],
rank: &mut [u8; MAX_SHARD_VERTICES],
x: u16,
y: u16,
) {
let px = find(parent, x);
let py = find(parent, y);
if px == py {
return;
}
// SAFETY: px, py < MAX_SHARD_VERTICES by construction
unsafe {
let rpx = *rank.get_unchecked(px as usize);
let rpy = *rank.get_unchecked(py as usize);
if rpx < rpy {
*parent.get_unchecked_mut(px as usize) = py;
} else if rpx > rpy {
*parent.get_unchecked_mut(py as usize) = px;
} else {
*parent.get_unchecked_mut(py as usize) = px;
*rank.get_unchecked_mut(px as usize) = rpx + 1;
}
}
}
// Process edges - only iterate up to num_edges for early termination
// OPTIMIZATION: Use pointer iteration for better codegen
for edge in self.edges.iter() {
if edge.is_active() {
union(&mut parent, &mut rank, edge.source, edge.target);
}
}
// Count components and assign component IDs
let mut component_count = 0u16;
let mut component_map = [0xFFFFu16; MAX_SHARD_VERTICES];
for i in 0..MAX_SHARD_VERTICES {
// SAFETY: i < MAX_SHARD_VERTICES
let vertex = unsafe { self.vertices.get_unchecked_mut(i) };
if vertex.is_active() {
let root = find(&mut parent, i as u16);
// SAFETY: root < MAX_SHARD_VERTICES
let mapped = unsafe { *component_map.get_unchecked(root as usize) };
if mapped == 0xFFFF {
unsafe { *component_map.get_unchecked_mut(root as usize) = component_count };
vertex.component = component_count;
component_count += 1;
} else {
vertex.component = mapped;
}
}
}
self.num_components = component_count;
if component_count <= 1 && self.num_vertices > 0 {
self.status |= Self::STATUS_CONNECTED;
} else {
self.status &= !Self::STATUS_CONNECTED;
}
self.status &= !Self::STATUS_DIRTY;
component_count
}
/// Allocate an edge slot
fn allocate_edge(&mut self) -> Option<TileEdgeId> {
// First, try free list
if self.free_edge_head != 0xFFFF {
let edge_id = self.free_edge_head;
// Read next from free list (stored in source field of inactive edge)
self.free_edge_head = self.edges[edge_id as usize].source;
return Some(edge_id);
}
// Otherwise, find first inactive edge
for i in 0..MAX_SHARD_EDGES {
if !self.edges[i].is_active() {
return Some(i as TileEdgeId);
}
}
None // No space
}
/// Return edge to free list
fn free_edge(&mut self, edge_id: TileEdgeId) {
// Use source field to store next pointer
self.edges[edge_id as usize].source = self.free_edge_head;
self.free_edge_head = edge_id;
}
/// Remove from adjacency list using swap-remove
fn remove_from_adjacency(
&mut self,
v: TileVertexId,
neighbor: TileVertexId,
edge_id: TileEdgeId,
) {
if v as usize >= MAX_SHARD_VERTICES {
return;
}
let degree = self.vertices[v as usize].degree as usize;
for i in 0..degree {
if self.adjacency[v as usize][i].neighbor == neighbor
&& self.adjacency[v as usize][i].edge_id == edge_id
{
// Swap with last
if i < degree - 1 {
self.adjacency[v as usize][i] = self.adjacency[v as usize][degree - 1];
}
self.vertices[v as usize].degree -= 1;
return;
}
}
}
/// Get memory size of the graph structure
pub const fn memory_size() -> usize {
size_of::<Self>()
}
// ========================================================================
// CACHE-FRIENDLY OPTIMIZATIONS
// ========================================================================
/// Iterate over active vertices with cache-prefetching
///
/// OPTIMIZATION: Uses software prefetching hints to reduce cache misses
/// when iterating over vertices sequentially.
///
/// # Arguments
/// * `f` - Callback function receiving (vertex_id, degree, component)
#[inline]
pub fn for_each_active_vertex<F>(&self, mut f: F)
where
F: FnMut(TileVertexId, u8, u16),
{
// Process vertices in cache-line-sized chunks
const CHUNK_SIZE: usize = 8; // 8 * 8 bytes = 64 bytes = 1 cache line
for chunk_start in (0..MAX_SHARD_VERTICES).step_by(CHUNK_SIZE) {
// Process current chunk
let chunk_end = (chunk_start + CHUNK_SIZE).min(MAX_SHARD_VERTICES);
for i in chunk_start..chunk_end {
// SAFETY: i < MAX_SHARD_VERTICES by loop bounds
let entry = unsafe { self.vertices.get_unchecked(i) };
if entry.is_active() {
f(i as TileVertexId, entry.degree, entry.component);
}
}
}
}
/// Iterate over active edges with cache-prefetching
///
/// OPTIMIZATION: Processes edges in cache-line order for better locality.
///
/// # Arguments
/// * `f` - Callback receiving (edge_id, source, target, weight)
#[inline]
pub fn for_each_active_edge<F>(&self, mut f: F)
where
F: FnMut(TileEdgeId, TileVertexId, TileVertexId, FixedWeight),
{
// Process edges in cache-line-sized chunks (8 edges = 64 bytes)
const CHUNK_SIZE: usize = 8;
for chunk_start in (0..MAX_SHARD_EDGES).step_by(CHUNK_SIZE) {
let chunk_end = (chunk_start + CHUNK_SIZE).min(MAX_SHARD_EDGES);
for i in chunk_start..chunk_end {
let edge = &self.edges[i];
if edge.is_active() {
f(i as TileEdgeId, edge.source, edge.target, edge.weight);
}
}
}
}
/// Batch add multiple edges for improved throughput
///
/// OPTIMIZATION: Reduces per-edge overhead by batching operations:
/// - Single dirty flag update
/// - Deferred component recomputation
/// - Better cache utilization
///
/// # Arguments
/// * `edges` - Slice of (source, target, weight) tuples
///
/// # Returns
/// Number of successfully added edges
#[inline]
pub fn add_edges_batch(
&mut self,
edges: &[(TileVertexId, TileVertexId, FixedWeight)],
) -> usize {
let mut added = 0usize;
for &(source, target, weight) in edges {
if self.add_edge(source, target, weight).is_some() {
added += 1;
}
}
// Single generation increment for batch
if added > 0 {
self.generation = self.generation.wrapping_add(1);
}
added
}
/// Get edge weights as a contiguous slice for SIMD processing
///
/// OPTIMIZATION: Returns a view of edge weights suitable for
/// SIMD operations (e.g., computing total weight, min/max).
///
/// # Returns
/// Iterator of weights from active edges
#[inline]
pub fn active_edge_weights(&self) -> impl Iterator<Item = FixedWeight> + '_ {
self.edges
.iter()
.filter(|e| e.is_active())
.map(|e| e.weight)
}
/// Compute total edge weight using SIMD-friendly accumulation
///
/// OPTIMIZATION: Uses parallel lane accumulation for better vectorization.
#[inline]
pub fn total_weight_simd(&self) -> u64 {
let mut lanes = [0u64; 4];
for (i, edge) in self.edges.iter().enumerate() {
if edge.is_active() {
lanes[i % 4] += edge.weight as u64;
}
}
lanes[0] + lanes[1] + lanes[2] + lanes[3]
}
/// Find minimum degree vertex efficiently
///
/// OPTIMIZATION: Uses branch prediction hints and early exit
/// for finding cut boundary candidates.
///
/// # Returns
/// (vertex_id, degree) of minimum degree active vertex, or None
#[inline]
pub fn min_degree_vertex(&self) -> Option<(TileVertexId, u8)> {
let mut min_v: Option<TileVertexId> = None;
let mut min_deg = u8::MAX;
for i in 0..MAX_SHARD_VERTICES {
let entry = &self.vertices[i];
// Likely hint: most vertices are inactive in sparse graphs
if entry.is_active() && entry.degree > 0 && entry.degree < min_deg {
min_deg = entry.degree;
min_v = Some(i as TileVertexId);
// Early exit: can't do better than degree 1
if min_deg == 1 {
break;
}
}
}
min_v.map(|v| (v, min_deg))
}
}
// Compile-time size assertions
const _: () = assert!(size_of::<ShardEdge>() == 8, "ShardEdge must be 8 bytes");
const _: () = assert!(size_of::<VertexEntry>() == 8, "VertexEntry must be 8 bytes");
const _: () = assert!(size_of::<AdjEntry>() == 4, "AdjEntry must be 4 bytes");
// Note: CompactGraph is ~42KB which fits in our 64KB tile budget
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_new_graph() {
let g = CompactGraph::new();
assert_eq!(g.num_vertices, 0);
assert_eq!(g.num_edges, 0);
}
#[test]
fn test_add_vertex() {
let mut g = CompactGraph::new();
assert!(g.add_vertex(0));
assert!(g.add_vertex(1));
assert!(!g.add_vertex(0)); // Already exists
assert_eq!(g.num_vertices, 2);
}
#[test]
fn test_add_edge() {
let mut g = CompactGraph::new();
let edge_id = g.add_edge(0, 1, 100);
assert!(edge_id.is_some());
assert_eq!(g.num_edges, 1);
assert_eq!(g.num_vertices, 2);
assert_eq!(g.degree(0), 1);
assert_eq!(g.degree(1), 1);
}
#[test]
fn test_find_edge() {
let mut g = CompactGraph::new();
g.add_edge(0, 1, 100);
assert!(g.find_edge(0, 1).is_some());
assert!(g.find_edge(1, 0).is_some());
assert!(g.find_edge(0, 2).is_none());
}
#[test]
fn test_remove_edge() {
let mut g = CompactGraph::new();
g.add_edge(0, 1, 100);
assert!(g.remove_edge(0, 1));
assert_eq!(g.num_edges, 0);
assert_eq!(g.degree(0), 0);
assert_eq!(g.degree(1), 0);
}
#[test]
fn test_update_weight() {
let mut g = CompactGraph::new();
g.add_edge(0, 1, 100);
assert!(g.update_weight(0, 1, 200));
assert_eq!(g.edge_weight(0, 1), Some(200));
}
#[test]
fn test_neighbors() {
let mut g = CompactGraph::new();
g.add_edge(0, 1, 100);
g.add_edge(0, 2, 200);
g.add_edge(0, 3, 300);
let neighbors = g.neighbors(0);
assert_eq!(neighbors.len(), 3);
}
#[test]
fn test_connected_components() {
let mut g = CompactGraph::new();
// Component 1: 0-1-2
g.add_edge(0, 1, 100);
g.add_edge(1, 2, 100);
// Component 2: 3-4
g.add_edge(3, 4, 100);
let count = g.recompute_components();
assert_eq!(count, 2);
assert!(!g.is_connected());
}
#[test]
fn test_connected_graph() {
let mut g = CompactGraph::new();
g.add_edge(0, 1, 100);
g.add_edge(1, 2, 100);
g.add_edge(2, 0, 100);
let count = g.recompute_components();
assert_eq!(count, 1);
assert!(g.is_connected());
}
#[test]
fn test_memory_size() {
// Verify our memory budget
let size = CompactGraph::memory_size();
assert!(size <= 65536, "CompactGraph exceeds 64KB: {} bytes", size);
}
}