perf: store example DB as fixtures, 850x faster export

export_examples took ~34s in debug mode because every build ran
BruteForce on 72 examples. Now pre-computed results are embedded
as JSON fixtures via include_str!, reducing export to ~0.04s.

- Split build_*_db() (fixture load, fast) from compute_*_db() (BruteForce)
- Add fixture files: src/example_db/fixtures/{models,rules}.json
- Add regenerate_fixtures binary for updating fixtures when code changes
- Add verification tests comparing fixtures against freshly computed results
- Add `make regenerate-fixtures` target

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: GiggleLiu

Cargo.toml

@@ -50,6 +50,11 @@ name = "export_examples"
 path = "examples/export_examples.rs"
 required-features = ["example-db"]
 
+[[example]]
+name = "regenerate_fixtures"
+path = "examples/regenerate_fixtures.rs"
+required-features = ["example-db"]
+
 [profile.release]
 lto = true
 codegen-units = 1

Makefile

@@ -1,6 +1,6 @@
 # Makefile for problemreductions
 
-.PHONY: help build test mcp-test fmt clippy doc mdbook paper examples clean coverage rust-export compare qubo-testdata export-schemas release run-plan run-issue run-pipeline run-pipeline-forever run-review run-review-forever board-next board-claim board-ack board-move issue-context issue-guards pr-context pr-wait-ci worktree-issue worktree-pr diagrams jl-testdata cli cli-demo copilot-review
+.PHONY: help build test mcp-test fmt clippy doc mdbook paper examples clean coverage rust-export compare qubo-testdata export-schemas release run-plan run-issue run-pipeline run-pipeline-forever run-review run-review-forever board-next board-claim board-ack board-move issue-context issue-guards pr-context pr-wait-ci worktree-issue worktree-pr diagrams jl-testdata cli cli-demo copilot-review regenerate-fixtures
 
 RUNNER ?= codex
 CLAUDE_MODEL ?= opus
@@ -24,7 +24,9 @@ help:
 	@echo "  check        - Quick check (fmt + clippy + test)"
 	@echo "  rust-export  - Generate Rust mapping JSON exports"
 	@echo "  compare      - Generate and compare Rust mapping exports"
-	@echo "  examples     - Generate example JSON for paper"
+	@echo "  examples     - Generate example JSON for paper (from fixtures, fast)"
+	@echo "  regenerate-fixtures - Recompute example DB fixtures (BruteForce/ILP, slow)"
+	@echo "  regenerate-fixtures - Recompute example DB fixtures (BruteForce/ILP, slow)"
 	@echo "  export-schemas - Export problem schemas to JSON"
 	@echo "  qubo-testdata - Regenerate QUBO test data (requires uv)"
 	@echo "  jl-testdata  - Regenerate Julia parity test data (requires julia)"
@@ -113,10 +115,18 @@ mdbook:
 	python3 -m http.server 3001 -d book &
 	@sleep 1 && (command -v xdg-open >/dev/null && xdg-open http://localhost:3001 || open http://localhost:3001)
 
-# Generate all example JSON files for the paper
+# Generate all example JSON files for the paper (loads from fixtures — fast)
 examples:
-	cargo run --features "ilp-highs example-db" --example export_examples
-	cargo run --features ilp-highs --example export_petersen_mapping
+	cargo run --features "example-db" --example export_examples
+	cargo run --example export_petersen_mapping
+
+# Regenerate example DB fixtures from code (runs BruteForce/ILP — slow)
+regenerate-fixtures:
+	cargo run --release --features "example-db" --example regenerate_fixtures
+
+# Regenerate example DB fixtures from code (runs BruteForce/ILP — slow)
+regenerate-fixtures:
+	cargo run --release --features "example-db" --example regenerate_fixtures
 
 # Export problem schemas to JSON
 export-schemas:

examples/regenerate_fixtures.rs

@@ -0,0 +1,37 @@
+/// Regenerate example database fixture files from builder code.
+///
+/// This binary recomputes all model and rule examples using BruteForce/ILP
+/// and writes the results to `src/example_db/fixtures/`. Run this in release
+/// mode after changing any model or rule to update the stored expected results:
+///
+/// ```
+/// cargo run --release --example regenerate_fixtures --features example-db
+/// ```
+use problemreductions::example_db::{compute_model_db, compute_rule_db};
+use std::fs;
+use std::path::Path;
+
+fn main() {
+    let fixtures_dir = Path::new(env!("CARGO_MANIFEST_DIR")).join("src/example_db/fixtures");
+    fs::create_dir_all(&fixtures_dir).expect("Failed to create fixtures directory");
+
+    let rule_db = compute_rule_db().expect("Failed to compute canonical rule database");
+    let model_db = compute_model_db().expect("Failed to compute canonical model database");
+
+    let models_path = fixtures_dir.join("models.json");
+    let rules_path = fixtures_dir.join("rules.json");
+
+    let models_json = serde_json::to_string(&model_db).expect("Failed to serialize models");
+    let rules_json = serde_json::to_string(&rule_db).expect("Failed to serialize rules");
+
+    fs::write(&models_path, &models_json).expect("Failed to write models fixture");
+    fs::write(&rules_path, &rules_json).expect("Failed to write rules fixture");
+
+    println!(
+        "Regenerated fixtures: {} rule examples, {} model examples",
+        rule_db.rules.len(),
+        model_db.models.len()
+    );
+    println!("  Models: {}", models_path.display());
+    println!("  Rules: {}", rules_path.display());
+}

src/example_db/fixtures/models.json

@@ -0,0 +1 @@
+{"version":1,"models":[{"problem":"BMF","variant":{},"instance":{"k":2,"m":3,"matrix":[[true,true,false],[true,true,true],[false,true,true]],"n":3},"samples":[{"config":[1,0,1,1,0,1,1,1,0,0,1,1],"metric":{"Valid":0}}],"optimal":[{"config":[0,1,1,1,1,0,0,1,1,1,1,0],"metric":{"Valid":0}},{"config":[1,0,1,1,0,1,1,1,0,0,1,1],"metric":{"Valid":0}}]},{"problem":"BicliqueCover","variant":{},"instance":{"graph":{"edges":[[0,0],[0,1],[1,1],[1,2]],"left_size":2,"right_size":3},"k":2},"samples":[{"config":[1,0,0,1,1,0,1,1,0,1],"metric":{"Valid":6}}],"optimal":[{"config":[0,1,0,1,0,1,0,1,0,1],"metric":{"Valid":5}},{"config":[1,0,1,0,1,0,1,0,1,0],"metric":{"Valid":5}}]},{"problem":"CircuitSAT","variant":{},"instance":{"circuit":{"assignments":[{"expr":{"op":{"And":[{"op":{"Var":"x1"}},{"op":{"Var":"x2"}}]}},"outputs":["a"]},{"expr":{"op":{"Or":[{"op":{"Var":"x1"}},{"op":{"Var":"x2"}}]}},"outputs":["b"]},{"expr":{"op":{"Xor":[{"op":{"Var":"a"}},{"op":{"Var":"b"}}]}},"outputs":["c"]}]},"variables":["a","b","c","x1","x2"]},"samples":[{"config":[0,1,1,0,1],"metric":true},{"config":[0,1,1,1,0],"metric":true}],"optimal":[{"config":[0,0,0,0,0],"metric":true},{"config":[0,1,1,0,1],"metric":true},{"config":[0,1,1,1,0],"metric":true},{"config":[1,1,0,1,1],"metric":true}]},{"problem":"ClosestVectorProblem","variant":{"weight":"i32"},"instance":{"basis":[[2,0],[1,2]],"bounds":[{"lower":-2,"upper":4},{"lower":-2,"upper":4}],"target":[2.8,1.5]},"samples":[{"config":[3,3],"metric":{"Valid":0.5385164807134505}}],"optimal":[{"config":[3,3],"metric":{"Valid":0.5385164807134505}}]},{"problem":"ExactCoverBy3Sets","variant":{},"instance":{"subsets":[[0,1,2],[0,2,4],[3,4,5],[3,5,7],[6,7,8],[1,4,6],[2,5,8]],"universe_size":9},"samples":[{"config":[1,0,1,0,1,0,0],"metric":true}],"optimal":[{"config":[1,0,1,0,1,0,0],"metric":true}]},{"problem":"Factoring","variant":{},"instance":{"m":2,"n":3,"target":15},"samples":[{"config":[1,1,1,0,1],"metric":{"Valid":0}}],"optimal":[{"config":[1,1,1,0,1],"metric":{"Valid":0}}]},{"problem":"HamiltonianPath","variant":{"graph":"SimpleGraph"},"instance":{"graph":{"inner":{"edge_property":"undirected","edges":[[0,1,null],[0,2,null],[1,3,null],[2,3,null],[3,4,null],[3,5,null],[4,2,null],[5,1,null]],"node_holes":[],"nodes":[null,null,null,null,null,null]}}},"samples":[{"config":[0,2,4,3,1,5],"metric":true}],"optimal":[{"config":[0,1,5,3,2,4],"metric":true},{"config":[0,1,5,3,4,2],"metric":true},{"config":[0,2,4,3,1,5],"metric":true},{"config":[0,2,4,3,5,1],"metric":true},{"config":[1,0,2,4,3,5],"metric":true},{"config":[1,5,3,4,2,0],"metric":true},{"config":[2,0,1,5,3,4],"metric":true},{"config":[2,4,3,5,1,0],"metric":true},{"config":[3,4,2,0,1,5],"metric":true},{"config":[3,5,1,0,2,4],"metric":true},{"config":[4,2,0,1,3,5],"metric":true},{"config":[4,2,0,1,5,3],"metric":true},{"config":[4,2,3,5,1,0],"metric":true},{"config":[4,3,2,0,1,5],"metric":true},{"config":[4,3,5,1,0,2],"metric":true},{"config":[5,1,0,2,3,4],"metric":true},{"config":[5,1,0,2,4,3],"metric":true},{"config":[5,1,3,4,2,0],"metric":true},{"config":[5,3,1,0,2,4],"metric":true},{"config":[5,3,4,2,0,1],"metric":true}]},{"problem":"ILP","variant":{"variable":"i32"},"instance":{"constraints":[{"cmp":"Le","rhs":5.0,"terms":[[0,1.0],[1,1.0]]},{"cmp":"Le","rhs":28.0,"terms":[[0,4.0],[1,7.0]]}],"num_vars":2,"objective":[[0,-5.0],[1,-6.0]],"sense":"Minimize"},"samples":[{"config":[0,4],"metric":{"Valid":-24.0}}],"optimal":[{"config":[3,2],"metric":{"Valid":-27.0}}]},{"problem":"IsomorphicSpanningTree","variant":{},"instance":{"graph":{"inner":{"edge_property":"undirected","edges":[[0,1,null],[0,2,null],[0,3,null],[1,2,null],[1,3,null],[2,3,null]],"node_holes":[],"nodes":[null,null,null,null]}},"tree":{"inner":{"edge_property":"undirected","edges":[[0,1,null],[0,2,null],[0,3,null]],"node_holes":[],"nodes":[null,null,null,null]}}},"samples":[{"config":[0,1,2,3],"metric":true}],"optimal":[{"config":[0,1,2,3],"metric":true},{"config":[0,1,3,2],"metric":true},{"config":[0,2,1,3],"metric":true},{"config":[0,2,3,1],"metric":true},{"config":[0,3,1,2],"metric":true},{"config":[0,3,2,1],"metric":true},{"config":[1,0,2,3],"metric":true},{"config":[1,0,3,2],"metric":true},{"config":[1,2,0,3],"metric":true},{"config":[1,2,3,0],"metric":true},{"config":[1,3,0,2],"metric":true},{"config":[1,3,2,0],"metric":true},{"config":[2,0,1,3],"metric":true},{"config":[2,0,3,1],"metric":true},{"config":[2,1,0,3],"metric":true},{"config":[2,1,3,0],"metric":true},{"config":[2,3,0,1],"metric":true},{"config":[2,3,1,0],"metric":true},{"config":[3,0,1,2],"metric":true},{"config":[3,0,2,1],"metric":true},{"config":[3,1,0,2],"metric":true},{"config":[3,1,2,0],"metric":true},{"config":[3,2,0,1],"metric":true},{"config":[3,2,1,0],"metric":true}]},{"problem":"KColoring","variant":{"graph":"SimpleGraph","k":"K3"},"instance":{"graph":{"inner":{"edge_property":"undirected","edges":[[0,1,null],[0,2,null],[1,3,null],[2,3,null],[2,4,null],[3,4,null]],"node_holes":[],"nodes":[null,null,null,null,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