spreadlab/internal/engine/holmekim_test.go
Justin Visser 7f06ea0d6f engine: Holme-Kim network generator (powerlaw_cluster_graph port)
Preferential attachment via an attachment pool that holds one entry per
edge endpoint, so uniform draws are degree-proportional: that is the
whole hub-forming mechanism. A triangle step closes friend-of-a-friend
links with probability triangleProb, giving friend-group clustering.
Semantics ported from networkx, NOT its RNG stream (per the handoff,
no cross-language number matching).
Tests are property-based: size, edge bounds, connectivity, hub
formation across seeds, plus exact determinism for a fixed seed.
'go test ./...', gofmt and golangci-lint all clean.
2026-06-10 12:05:43 +02:00

116 lines
3.6 KiB
Go

package engine
import (
"slices"
"testing"
)
// The generator is random, so these are property tests: instead of pinning
// exact graphs we assert what must hold for ANY valid output (size, edge
// bounds, connectivity, hubs) across several seeds, plus exact determinism
// for a fixed seed. The prototype's values: 120 students, 3 edges per new
// student, triangle probability 0.45.
const (
testNumNodes = 120
testEdgesPerNode = 3
testTriangleProb = 0.45
)
func TestHolmeKimRejectsInvalidParameters(t *testing.T) {
tests := []struct {
name string
numNodes int
edgesPerNode int
triangleProb float64
}{
{name: "zero edges per node", numNodes: 10, edgesPerNode: 0, triangleProb: 0.5},
{name: "edges per node not below node count", numNodes: 3, edgesPerNode: 3, triangleProb: 0.5},
{name: "negative triangle probability", numNodes: 10, edgesPerNode: 2, triangleProb: -0.1},
{name: "triangle probability above one", numNodes: 10, edgesPerNode: 2, triangleProb: 1.1},
}
for _, testCase := range tests {
t.Run(testCase.name, func(t *testing.T) {
_, err := HolmeKim(testCase.numNodes, testCase.edgesPerNode, testCase.triangleProb, newRand(1))
if err == nil {
t.Errorf("HolmeKim(%d, %d, %v) accepted invalid parameters",
testCase.numNodes, testCase.edgesPerNode, testCase.triangleProb)
}
})
}
}
func TestHolmeKimDeterministicForSameSeed(t *testing.T) {
first, err := HolmeKim(testNumNodes, testEdgesPerNode, testTriangleProb, newRand(17))
if err != nil {
t.Fatal(err)
}
second, err := HolmeKim(testNumNodes, testEdgesPerNode, testTriangleProb, newRand(17))
if err != nil {
t.Fatal(err)
}
for node := range testNumNodes {
if !slices.Equal(first.Neighbors(node), second.Neighbors(node)) {
t.Fatalf("node %d: neighbour lists differ for identical seeds: %v vs %v",
node, first.Neighbors(node), second.Neighbors(node))
}
}
}
func TestHolmeKimProperties(t *testing.T) {
for _, seed := range []uint64{1, 2, 17} {
graph, err := HolmeKim(testNumNodes, testEdgesPerNode, testTriangleProb, newRand(seed))
if err != nil {
t.Fatal(err)
}
if got := graph.NumNodes(); got != testNumNodes {
t.Errorf("seed %d: NumNodes() = %d, want %d", seed, got, testNumNodes)
}
// Every new node attempts exactly edgesPerNode attachments; some
// may collide with an edge a triangle step already added, so the
// count is bounded, not exact.
grownNodes := testNumNodes - testEdgesPerNode
minEdges, maxEdges := grownNodes, grownNodes*testEdgesPerNode
if got := graph.NumEdges(); got < minEdges || got > maxEdges {
t.Errorf("seed %d: NumEdges() = %d, want within [%d, %d]", seed, got, minEdges, maxEdges)
}
if !isConnected(graph) {
t.Errorf("seed %d: graph is not connected", seed)
}
// Preferential attachment must produce hubs: some node far better
// connected than the attachment minimum.
maxDegree := 0
for node := range graph.NumNodes() {
maxDegree = max(maxDegree, graph.Degree(node))
}
if maxDegree < 3*testEdgesPerNode {
t.Errorf("seed %d: max degree %d, want at least %d (no hubs formed)",
seed, maxDegree, 3*testEdgesPerNode)
}
}
}
// isConnected reports whether every node is reachable from node 0,
// via breadth-first search.
func isConnected(graph *Graph) bool {
visited := make([]bool, graph.NumNodes())
visited[0] = true
frontier := []int{0}
visitedCount := 1
for len(frontier) > 0 {
current := frontier[0]
frontier = frontier[1:]
for _, neighbor := range graph.Neighbors(current) {
if !visited[neighbor] {
visited[neighbor] = true
visitedCount++
frontier = append(frontier, neighbor)
}
}
}
return visitedCount == graph.NumNodes()
}