Merge commit 'd803bfe2b1fe7f5e219e50ac20d6801a0a58ac75' as 'vendor/ruvector'

This commit is contained in:
ruv
2026-02-28 14:39:40 -05:00
7854 changed files with 3522914 additions and 0 deletions

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//! # 4. Multi-Agent Contract Enforcement
//!
//! Each agent message embedding must:
//! - Match declared dimensionality
//! - Match contract schema (metric type)
//! - Pass verified transformation pipeline
//!
//! If mismatch, no agent state transition allowed.
//! Result: the proof engine becomes a structural gate -- a logic firewall.
use crate::ProofReceipt;
use ruvector_verified::{
gated::{self, ProofKind, ProofTier},
proof_store, vector_types, ProofEnvironment,
};
/// An agent contract specifying required embedding properties.
#[derive(Debug, Clone)]
pub struct AgentContract {
pub agent_id: String,
pub required_dim: u32,
pub required_metric: String,
pub max_pipeline_depth: u32,
}
/// Result of a contract gate check.
#[derive(Debug)]
pub struct GateResult {
pub agent_id: String,
pub allowed: bool,
pub reason: String,
pub receipt: Option<ProofReceipt>,
}
/// Check whether an agent message embedding passes its contract gate.
pub fn enforce_contract(contract: &AgentContract, message_embedding: &[f32]) -> GateResult {
let mut env = ProofEnvironment::new();
// Gate 1: Dimension match
let dim_result =
vector_types::verified_dim_check(&mut env, contract.required_dim, message_embedding);
let dim_proof = match dim_result {
Ok(op) => op.proof_id,
Err(e) => {
return GateResult {
agent_id: contract.agent_id.clone(),
allowed: false,
reason: format!("dimension gate failed: {e}"),
receipt: None,
};
}
};
// Gate 2: Metric schema match
let metric_result = vector_types::mk_distance_metric(&mut env, &contract.required_metric);
if let Err(e) = metric_result {
return GateResult {
agent_id: contract.agent_id.clone(),
allowed: false,
reason: format!("metric gate failed: {e}"),
receipt: None,
};
}
// Gate 3: Pipeline depth check via gated routing
let decision = gated::route_proof(
ProofKind::PipelineComposition {
stages: contract.max_pipeline_depth,
},
&env,
);
let attestation = proof_store::create_attestation(&env, dim_proof);
GateResult {
agent_id: contract.agent_id.clone(),
allowed: true,
reason: format!(
"all gates passed: dim={}, metric={}, tier={}",
contract.required_dim,
contract.required_metric,
match decision.tier {
ProofTier::Reflex => "reflex",
ProofTier::Standard { .. } => "standard",
ProofTier::Deep => "deep",
},
),
receipt: Some(ProofReceipt {
domain: "agent_contract".into(),
claim: format!("agent '{}' message verified", contract.agent_id),
proof_id: dim_proof,
attestation_bytes: attestation.to_bytes(),
tier: match decision.tier {
ProofTier::Reflex => "reflex",
ProofTier::Standard { .. } => "standard",
ProofTier::Deep => "deep",
}
.into(),
gate_passed: true,
}),
}
}
/// Run a multi-agent scenario: N agents, each with a contract, each sending messages.
pub fn run_multi_agent_scenario(agents: &[(AgentContract, Vec<f32>)]) -> Vec<GateResult> {
agents
.iter()
.map(|(c, emb)| enforce_contract(c, emb))
.collect()
}
#[cfg(test)]
mod tests {
use super::*;
fn test_contract(dim: u32) -> AgentContract {
AgentContract {
agent_id: "agent-A".into(),
required_dim: dim,
required_metric: "Cosine".into(),
max_pipeline_depth: 3,
}
}
#[test]
fn valid_agent_passes_gate() {
let contract = test_contract(256);
let embedding = vec![0.1f32; 256];
let result = enforce_contract(&contract, &embedding);
assert!(result.allowed);
assert!(result.receipt.is_some());
}
#[test]
fn wrong_dim_blocked() {
let contract = test_contract(256);
let embedding = vec![0.1f32; 128];
let result = enforce_contract(&contract, &embedding);
assert!(!result.allowed);
assert!(result.receipt.is_none());
}
#[test]
fn multi_agent_mixed() {
let agents = vec![
(test_contract(128), vec![0.5f32; 128]), // pass
(test_contract(128), vec![0.5f32; 64]), // fail
(test_contract(256), vec![0.5f32; 256]), // pass
];
let results = run_multi_agent_scenario(&agents);
assert_eq!(results.iter().filter(|r| r.allowed).count(), 2);
assert_eq!(results.iter().filter(|r| !r.allowed).count(), 1);
}
}

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//! # 3. Financial Order Routing Integrity
//!
//! Before routing a trade decision:
//! - Prove feature vector dimension matches model
//! - Prove metric compatibility (L2 for risk, Cosine for similarity)
//! - Prove risk scoring pipeline composition
//!
//! Store proof hash with trade ID. Replay the proof term if questioned later.
//! Result: the feature pipeline itself was mathematically coherent.
use crate::ProofReceipt;
use ruvector_verified::{
gated::{self, ProofKind, ProofTier},
pipeline::compose_chain,
proof_store, vector_types, ProofEnvironment,
};
/// A trade order with its verified proof chain.
#[derive(Debug)]
pub struct VerifiedTradeOrder {
pub trade_id: String,
pub direction: String,
pub feature_dim: u32,
pub risk_score_proof: u32,
pub pipeline_proof: u32,
pub attestation: Vec<u8>,
pub proof_hash: u64,
}
/// Verify and emit proof for a trade order routing decision.
pub fn verify_trade_order(
trade_id: &str,
feature_vector: &[f32],
feature_dim: u32,
risk_metric: &str,
direction: &str,
) -> Result<VerifiedTradeOrder, String> {
let mut env = ProofEnvironment::new();
// 1. Feature dimension proof
let dim_check = vector_types::verified_dim_check(&mut env, feature_dim, feature_vector)
.map_err(|e| format!("feature dim: {e}"))?;
// 2. Risk metric proof
let _metric = vector_types::mk_distance_metric(&mut env, risk_metric)
.map_err(|e| format!("metric: {e}"))?;
// 3. Index type proof
let _index = vector_types::mk_hnsw_index_type(&mut env, feature_dim, risk_metric)
.map_err(|e| format!("index: {e}"))?;
// 4. Pipeline: feature_extract -> risk_score -> order_route
let chain = vec![
("feature_extract".into(), 10u32, 11),
("risk_score".into(), 11, 12),
("order_route".into(), 12, 13),
];
let (_in_ty, _out_ty, pipeline_proof) =
compose_chain(&chain, &mut env).map_err(|e| format!("pipeline: {e}"))?;
// 5. Route proof to appropriate tier
let _decision = gated::route_proof(ProofKind::PipelineComposition { stages: 3 }, &env);
// 6. Create attestation and compute hash for storage
let attestation = proof_store::create_attestation(&env, pipeline_proof);
let proof_hash = attestation.content_hash();
Ok(VerifiedTradeOrder {
trade_id: trade_id.into(),
direction: direction.into(),
feature_dim,
risk_score_proof: dim_check.proof_id,
pipeline_proof,
attestation: attestation.to_bytes(),
proof_hash,
})
}
/// Verify a batch of trade orders and return pass/fail counts.
pub fn verify_trade_batch(
orders: &[(&str, &[f32], u32)], // (trade_id, features, dim)
) -> (usize, usize) {
let mut passed = 0;
let mut failed = 0;
for (id, features, dim) in orders {
match verify_trade_order(id, features, *dim, "L2", "BUY") {
Ok(_) => passed += 1,
Err(_) => failed += 1,
}
}
(passed, failed)
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn valid_trade_verified() {
let features = vec![0.3f32; 128];
let order = verify_trade_order("TRD-001", &features, 128, "L2", "BUY");
assert!(order.is_ok());
let o = order.unwrap();
assert_eq!(o.attestation.len(), 82);
assert_ne!(o.proof_hash, 0);
}
#[test]
fn wrong_dimension_blocks_trade() {
let features = vec![0.3f32; 64]; // Wrong
let result = verify_trade_order("TRD-002", &features, 128, "L2", "SELL");
assert!(result.is_err());
}
#[test]
fn batch_mixed_results() {
let good = vec![0.5f32; 128];
let bad = vec![0.5f32; 64];
let orders: Vec<(&str, &[f32], u32)> =
vec![("T1", &good, 128), ("T2", &bad, 128), ("T3", &good, 128)];
let (pass, fail) = verify_trade_batch(&orders);
assert_eq!(pass, 2);
assert_eq!(fail, 1);
}
}

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//! # 10. Legal Forensics for AI Decisions
//!
//! Court case asks: "Was the AI system malformed?"
//!
//! You produce:
//! - Witness chain (ordered proof attestations)
//! - Proof term replay (re-verify from scratch)
//! - Structural invariants (dimension, metric, pipeline)
//!
//! Result: mathematical evidence, not just logs.
use ruvector_verified::{
pipeline::compose_chain,
proof_store::{self, ProofAttestation},
vector_types, ProofEnvironment, ProofStats,
};
/// A forensic evidence bundle for court submission.
#[derive(Debug)]
pub struct ForensicBundle {
pub case_id: String,
pub witness_chain: Vec<ProofAttestation>,
pub replay_passed: bool,
pub invariants: ForensicInvariants,
pub stats: ProofStats,
}
/// Structural invariants extracted from the proof environment.
#[derive(Debug)]
pub struct ForensicInvariants {
pub declared_dim: u32,
pub actual_dim: u32,
pub metric: String,
pub pipeline_stages: Vec<String>,
pub pipeline_verified: bool,
pub total_proof_terms: u32,
}
/// Build a forensic evidence bundle by replaying the full proof chain.
///
/// This re-constructs all proofs from scratch -- if any step fails,
/// the system is malformed.
pub fn build_forensic_bundle(
case_id: &str,
vectors: &[&[f32]],
declared_dim: u32,
metric: &str,
pipeline_stages: &[&str],
) -> ForensicBundle {
let mut env = ProofEnvironment::new();
let mut witness_chain = Vec::new();
let mut all_passed = true;
// Replay 1: Verify all vector dimensions
for (i, vec) in vectors.iter().enumerate() {
match vector_types::verified_dim_check(&mut env, declared_dim, vec) {
Ok(op) => {
witness_chain.push(proof_store::create_attestation(&env, op.proof_id));
}
Err(_) => {
all_passed = false;
witness_chain.push(proof_store::create_attestation(&env, 0));
}
}
}
// Replay 2: Verify metric type
let metric_ok = vector_types::mk_distance_metric(&mut env, metric).is_ok();
if !metric_ok {
all_passed = false;
}
// Replay 3: Verify pipeline composition
let chain: Vec<(String, u32, u32)> = pipeline_stages
.iter()
.enumerate()
.map(|(i, s)| (s.to_string(), i as u32 + 1, i as u32 + 2))
.collect();
let pipeline_ok = compose_chain(&chain, &mut env).is_ok();
if !pipeline_ok {
all_passed = false;
}
let actual_dim = vectors.first().map(|v| v.len() as u32).unwrap_or(0);
let stats = env.stats().clone();
ForensicBundle {
case_id: case_id.into(),
witness_chain,
replay_passed: all_passed,
invariants: ForensicInvariants {
declared_dim,
actual_dim,
metric: metric.into(),
pipeline_stages: pipeline_stages.iter().map(|s| s.to_string()).collect(),
pipeline_verified: pipeline_ok,
total_proof_terms: env.terms_allocated(),
},
stats,
}
}
/// Verify that two forensic bundles agree on structural invariants.
pub fn bundles_structurally_equal(a: &ForensicBundle, b: &ForensicBundle) -> bool {
a.invariants.declared_dim == b.invariants.declared_dim
&& a.invariants.metric == b.invariants.metric
&& a.invariants.pipeline_stages == b.invariants.pipeline_stages
&& a.replay_passed == b.replay_passed
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn clean_system_passes_forensics() {
let v1 = vec![0.5f32; 256];
let v2 = vec![0.3f32; 256];
let vecs: Vec<&[f32]> = vec![&v1, &v2];
let bundle = build_forensic_bundle(
"CASE-001",
&vecs,
256,
"Cosine",
&["embed", "search", "classify"],
);
assert!(bundle.replay_passed);
assert_eq!(bundle.witness_chain.len(), 2);
assert!(bundle.invariants.pipeline_verified);
assert_eq!(
bundle.invariants.total_proof_terms,
bundle.stats.proofs_constructed as u32
);
}
#[test]
fn malformed_system_detected() {
let v1 = vec![0.5f32; 256];
let v2 = vec![0.3f32; 128]; // wrong dimension
let vecs: Vec<&[f32]> = vec![&v1, &v2];
let bundle = build_forensic_bundle("CASE-002", &vecs, 256, "L2", &["embed", "classify"]);
assert!(!bundle.replay_passed);
}
#[test]
fn two_identical_systems_agree() {
let v = vec![0.5f32; 64];
let vecs: Vec<&[f32]> = vec![&v];
let stages = &["encode", "decode"];
let b1 = build_forensic_bundle("A", &vecs, 64, "L2", stages);
let b2 = build_forensic_bundle("B", &vecs, 64, "L2", stages);
assert!(bundles_structurally_equal(&b1, &b2));
}
#[test]
fn different_metrics_disagree() {
let v = vec![0.5f32; 64];
let vecs: Vec<&[f32]> = vec![&v];
let b1 = build_forensic_bundle("A", &vecs, 64, "L2", &["step"]);
let b2 = build_forensic_bundle("B", &vecs, 64, "Cosine", &["step"]);
assert!(!bundles_structurally_equal(&b1, &b2));
}
}

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//! 10 exotic applications of ruvector-verified beyond dimension checks.
//!
//! Each module demonstrates a real-world domain where proof-carrying vector
//! operations provide structural safety that runtime assertions cannot.
pub mod agent_contracts;
pub mod financial_routing;
pub mod legal_forensics;
pub mod medical_diagnostics;
pub mod quantization_proof;
pub mod sensor_swarm;
pub mod simulation_integrity;
pub mod vector_signatures;
pub mod verified_memory;
pub mod weapons_filter;
/// Shared proof receipt that all domains produce.
#[derive(Debug, Clone)]
pub struct ProofReceipt {
/// Domain identifier (e.g. "weapons", "medical", "trade").
pub domain: String,
/// Human-readable description of what was proved.
pub claim: String,
/// Proof term ID in the environment.
pub proof_id: u32,
/// 82-byte attestation bytes.
pub attestation_bytes: Vec<u8>,
/// Proof tier used (reflex/standard/deep).
pub tier: String,
/// Whether the gate passed.
pub gate_passed: bool,
}

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//! Runs all 10 verified application demos.
use verified_applications::*;
fn _header(n: u32, title: &str) {
println!("\n{}", "=".repeat(60));
println!(" {n}. {title}");
println!("{}", "=".repeat(60));
}
fn main() {
println!("ruvector-verified: 10 Exotic Applications\n");
// 1. Weapons Filter
println!("\n========== 1. Autonomous Weapons Filter ==========");
let config = weapons_filter::CertifiedConfig::default();
let data = vec![0.5f32; 512];
match weapons_filter::verify_targeting_pipeline(&data, &config) {
Some(r) => println!(" PASS: {} [tier: {}, 82-byte witness]", r.claim, r.tier),
None => println!(" BLOCKED: pipeline verification failed"),
}
match weapons_filter::verify_tampered_sensor(&config) {
Some(_) => println!(" ERROR: tampered sensor was not blocked!"),
None => println!(" BLOCKED: tampered sensor correctly rejected"),
}
// 2. Medical Diagnostics
println!("\n========== 2. Medical Diagnostics ==========");
let ecg = vec![0.1f32; 256];
match medical_diagnostics::run_diagnostic("patient-001", &ecg, [0xABu8; 32], 256) {
Ok(b) => println!(
" PASS: {} steps verified, pipeline proof #{}, verdict: {}",
b.steps.len(),
b.pipeline_proof_id,
b.verdict,
),
Err(e) => println!(" FAIL: {e}"),
}
// 3. Financial Routing
println!("\n========== 3. Financial Order Routing ==========");
let features = vec![0.3f32; 128];
match financial_routing::verify_trade_order("TRD-001", &features, 128, "L2", "BUY") {
Ok(o) => println!(
" PASS: trade {} verified, proof_hash={:#018x}",
o.trade_id, o.proof_hash,
),
Err(e) => println!(" FAIL: {e}"),
}
// 4. Agent Contracts
println!("\n========== 4. Multi-Agent Contract Enforcement ==========");
let contract = agent_contracts::AgentContract {
agent_id: "agent-alpha".into(),
required_dim: 256,
required_metric: "Cosine".into(),
max_pipeline_depth: 3,
};
let result = agent_contracts::enforce_contract(&contract, &vec![0.1f32; 256]);
println!(
" agent={}, allowed={}, reason={}",
result.agent_id, result.allowed, result.reason
);
let bad = agent_contracts::enforce_contract(&contract, &vec![0.1f32; 64]);
println!(
" agent={}, allowed={}, reason={}",
bad.agent_id, bad.allowed, bad.reason
);
// 5. Sensor Swarm
println!("\n========== 5. Distributed Sensor Swarm ==========");
let good = vec![0.5f32; 64];
let bad_sensor = vec![0.5f32; 32];
let nodes: Vec<(&str, &[f32])> = vec![
("n0", &good),
("n1", &good),
("n2", &bad_sensor),
("n3", &good),
];
let coherence = sensor_swarm::check_swarm_coherence(&nodes, 64);
println!(
" coherent={}, verified={}/{}, divergent={:?}",
coherence.coherent,
coherence.verified_nodes,
coherence.total_nodes,
coherence.divergent_nodes,
);
// 6. Quantization Proof
println!("\n========== 6. Quantization Proof ==========");
let orig = vec![1.0f32; 128];
let quant: Vec<f32> = orig.iter().map(|x| x + 0.001).collect();
let cert = quantization_proof::certify_quantization(&orig, &quant, 128, 1.0, "L2");
println!(
" certified={}, error={:.6}, max_allowed={:.6}",
cert.certified, cert.actual_error, cert.max_error,
);
// 7. Verified Memory
println!("\n========== 7. Verifiable Synthetic Memory ==========");
let mut store = verified_memory::VerifiedMemoryStore::new(128);
for i in 0..5 {
let emb = vec![i as f32 * 0.1; 128];
store.insert(&emb).unwrap();
}
let (valid, invalid) = store.audit();
println!(
" memories={}, valid={valid}, invalid={invalid}, witness_chain={} entries",
store.len(),
store.witness_chain().len()
);
// 8. Vector Signatures
println!("\n========== 8. Cryptographic Vector Signatures ==========");
let v1 = vec![0.5f32; 384];
let v2 = vec![0.3f32; 384];
let model = [0xAAu8; 32];
let sig1 = vector_signatures::sign_vector(&v1, model, 384, "L2").unwrap();
let sig2 = vector_signatures::sign_vector(&v2, model, 384, "L2").unwrap();
println!(
" contract_match={}, sig1_hash={:#018x}, sig2_hash={:#018x}",
vector_signatures::verify_contract_match(&sig1, &sig2),
sig1.combined_hash(),
sig2.combined_hash(),
);
// 9. Simulation Integrity
println!("\n========== 9. Simulation Integrity ==========");
let tensors: Vec<Vec<f32>> = (0..10).map(|_| vec![0.5f32; 64]).collect();
let sim = simulation_integrity::run_verified_simulation(
"sim-001",
&tensors,
64,
&["hamiltonian", "evolve", "measure"],
)
.unwrap();
println!(
" steps={}, total_proofs={}, pipeline_proof=#{}",
sim.steps.len(),
sim.total_proofs,
sim.pipeline_proof,
);
// 10. Legal Forensics
println!("\n========== 10. Legal Forensics ==========");
let fv1 = vec![0.5f32; 256];
let fv2 = vec![0.3f32; 256];
let vecs: Vec<&[f32]> = vec![&fv1, &fv2];
let bundle = legal_forensics::build_forensic_bundle(
"CASE-2026-001",
&vecs,
256,
"Cosine",
&["embed", "search", "classify"],
);
println!(
" replay_passed={}, witnesses={}, proof_terms={}, pipeline={}",
bundle.replay_passed,
bundle.witness_chain.len(),
bundle.invariants.total_proof_terms,
bundle.invariants.pipeline_verified,
);
println!("\n========== Summary ==========");
println!(" All 10 domains demonstrated.");
println!(" Every operation produced 82-byte proof attestations.");
println!(" This is structural trust, not policy-based trust.");
}

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//! # 2. On-Device Medical Diagnostics with Formal Receipts
//!
//! Edge device diagnostic pipeline:
//! - ECG embedding -> similarity search -> risk classifier
//!
//! Each step emits proof-carrying results. The diagnosis bundle includes:
//! - Model hash, vector dimension proof, pipeline composition proof, attestation
//!
//! Result: regulator-grade evidence at the vector math layer.
use crate::ProofReceipt;
use ruvector_verified::{
pipeline::{compose_chain, compose_stages},
proof_store, vector_types, ProofEnvironment, VerifiedStage,
};
/// A diagnostic pipeline stage with its proof.
#[derive(Debug)]
pub struct DiagnosticStep {
pub name: String,
pub proof_id: u32,
pub attestation: Vec<u8>,
}
/// Complete diagnostic bundle suitable for regulatory submission.
#[derive(Debug)]
pub struct DiagnosticBundle {
pub patient_id: String,
pub model_hash: [u8; 32],
pub steps: Vec<DiagnosticStep>,
pub pipeline_proof_id: u32,
pub pipeline_attestation: Vec<u8>,
pub verdict: String,
}
/// Run a verified diagnostic pipeline on ECG embeddings.
pub fn run_diagnostic(
patient_id: &str,
ecg_embedding: &[f32],
model_hash: [u8; 32],
ecg_dim: u32,
) -> Result<DiagnosticBundle, String> {
let mut env = ProofEnvironment::new();
let mut steps = Vec::new();
// Step 1: Verify ECG embedding dimension
let dim_check = vector_types::verified_dim_check(&mut env, ecg_dim, ecg_embedding)
.map_err(|e| format!("ECG dim check failed: {e}"))?;
let att1 = proof_store::create_attestation(&env, dim_check.proof_id);
steps.push(DiagnosticStep {
name: "ecg_embedding_verified".into(),
proof_id: dim_check.proof_id,
attestation: att1.to_bytes(),
});
// Step 2: Verify similarity search metric
let metric_id = vector_types::mk_distance_metric(&mut env, "Cosine")
.map_err(|e| format!("metric check: {e}"))?;
let att2 = proof_store::create_attestation(&env, metric_id);
steps.push(DiagnosticStep {
name: "similarity_metric_verified".into(),
proof_id: metric_id,
attestation: att2.to_bytes(),
});
// Step 3: Verify HNSW index type
let idx = vector_types::mk_hnsw_index_type(&mut env, ecg_dim, "Cosine")
.map_err(|e| format!("index type: {e}"))?;
let att3 = proof_store::create_attestation(&env, idx);
steps.push(DiagnosticStep {
name: "hnsw_index_verified".into(),
proof_id: idx,
attestation: att3.to_bytes(),
});
// Step 4: Compose full pipeline and prove ordering
let chain = vec![
("ecg_embed".into(), 1u32, 2),
("similarity_search".into(), 2, 3),
("risk_classify".into(), 3, 4),
];
let (input_ty, output_ty, chain_proof) =
compose_chain(&chain, &mut env).map_err(|e| format!("pipeline composition: {e}"))?;
let att4 = proof_store::create_attestation(&env, chain_proof);
Ok(DiagnosticBundle {
patient_id: patient_id.into(),
model_hash,
steps,
pipeline_proof_id: chain_proof,
pipeline_attestation: att4.to_bytes(),
verdict: format!(
"Pipeline type#{} -> type#{} verified with {} proof steps",
input_ty,
output_ty,
env.stats().proofs_constructed,
),
})
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn full_diagnostic_pipeline() {
let ecg = vec![0.1f32; 256];
let model_hash = [0xABu8; 32];
let bundle = run_diagnostic("patient-001", &ecg, model_hash, 256);
assert!(bundle.is_ok());
let b = bundle.unwrap();
assert_eq!(b.steps.len(), 3);
assert!(b.steps.iter().all(|s| s.attestation.len() == 82));
assert_eq!(b.pipeline_attestation.len(), 82);
}
#[test]
fn wrong_ecg_dimension_rejected() {
let ecg = vec![0.1f32; 128]; // Wrong: expected 256
let result = run_diagnostic("patient-002", &ecg, [0u8; 32], 256);
assert!(result.is_err());
}
}

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//! # 6. Quantization and Compression Proofs
//!
//! Extend beyond dimension equality to prove:
//! - Quantized vector corresponds to original within bound epsilon
//! - Metric invariants preserved under compression
//! - HNSW insert preserves declared index type
//!
//! Result: quantization goes from heuristic to certified transform.
use ruvector_verified::{proof_store, vector_types, ProofEnvironment};
/// Proof that quantization preserved dimensional and metric invariants.
#[derive(Debug)]
pub struct QuantizationCertificate {
pub original_dim: u32,
pub quantized_dim: u32,
pub max_error: f32,
pub actual_error: f32,
pub dim_proof_id: u32,
pub metric_proof_id: u32,
pub attestation: Vec<u8>,
pub certified: bool,
}
/// Verify that a quantized vector preserves the original's dimensional contract
/// and that the reconstruction error is within bounds.
pub fn certify_quantization(
original: &[f32],
quantized: &[f32],
declared_dim: u32,
max_error: f32,
metric: &str,
) -> QuantizationCertificate {
let mut env = ProofEnvironment::new();
// 1. Prove original matches declared dimension
let orig_proof = match vector_types::verified_dim_check(&mut env, declared_dim, original) {
Ok(op) => op.proof_id,
Err(_) => {
return QuantizationCertificate {
original_dim: original.len() as u32,
quantized_dim: quantized.len() as u32,
max_error,
actual_error: f32::INFINITY,
dim_proof_id: 0,
metric_proof_id: 0,
attestation: vec![],
certified: false,
};
}
};
// 2. Prove quantized matches same dimension
let quant_proof = match vector_types::verified_dim_check(&mut env, declared_dim, quantized) {
Ok(op) => op.proof_id,
Err(_) => {
return QuantizationCertificate {
original_dim: original.len() as u32,
quantized_dim: quantized.len() as u32,
max_error,
actual_error: f32::INFINITY,
dim_proof_id: orig_proof,
metric_proof_id: 0,
attestation: vec![],
certified: false,
};
}
};
// 3. Prove dimension equality between original and quantized
let _eq_proof =
vector_types::prove_dim_eq(&mut env, original.len() as u32, quantized.len() as u32);
// 4. Prove metric type is valid
let metric_id = vector_types::mk_distance_metric(&mut env, metric).unwrap_or(0);
// 5. Compute reconstruction error (L2 norm of difference)
let error: f32 = original
.iter()
.zip(quantized.iter())
.map(|(a, b)| (a - b).powi(2))
.sum::<f32>()
.sqrt();
let within_bounds = error <= max_error;
let attestation = if within_bounds {
proof_store::create_attestation(&env, quant_proof).to_bytes()
} else {
vec![]
};
QuantizationCertificate {
original_dim: original.len() as u32,
quantized_dim: quantized.len() as u32,
max_error,
actual_error: error,
dim_proof_id: orig_proof,
metric_proof_id: metric_id,
attestation,
certified: within_bounds,
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn perfect_quantization() {
let orig = vec![1.0f32; 128];
let quant = vec![1.0f32; 128]; // identical
let cert = certify_quantization(&orig, &quant, 128, 0.01, "L2");
assert!(cert.certified);
assert!(cert.actual_error < 0.001);
assert_eq!(cert.attestation.len(), 82);
}
#[test]
fn slight_error_within_bounds() {
let orig = vec![1.0f32; 128];
let quant: Vec<f32> = orig.iter().map(|x| x + 0.001).collect();
let cert = certify_quantization(&orig, &quant, 128, 1.0, "L2");
assert!(cert.certified);
assert!(cert.actual_error > 0.0);
}
#[test]
fn error_exceeds_bound() {
let orig = vec![1.0f32; 128];
let quant = vec![2.0f32; 128]; // large error
let cert = certify_quantization(&orig, &quant, 128, 0.01, "L2");
assert!(!cert.certified);
assert!(cert.attestation.is_empty());
}
#[test]
fn dimension_mismatch_rejected() {
let orig = vec![1.0f32; 128];
let quant = vec![1.0f32; 64]; // wrong dim
let cert = certify_quantization(&orig, &quant, 128, 1.0, "L2");
assert!(!cert.certified);
}
}

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//! # 5. Distributed Sensor Swarms with Verifiable Consensus
//!
//! In a sensor swarm:
//! - Each node embeds sensor data
//! - Proves dimensional invariants
//! - Emits a witness fragment
//! - Fragments aggregate into a coherence chain
//!
//! If a node drifts, its proofs diverge. That divergence becomes the
//! coherence signal -- structural integrity across distributed nodes.
use ruvector_verified::{
proof_store::{self, ProofAttestation},
vector_types, ProofEnvironment,
};
/// A sensor node's contribution to the swarm.
#[derive(Debug, Clone)]
pub struct SensorWitness {
pub node_id: String,
pub verified: bool,
pub proof_id: u32,
pub attestation: ProofAttestation,
}
/// Aggregated coherence check across all swarm nodes.
#[derive(Debug)]
pub struct SwarmCoherence {
pub total_nodes: usize,
pub verified_nodes: usize,
pub divergent_nodes: Vec<String>,
pub coherent: bool,
pub attestations: Vec<ProofAttestation>,
}
/// Verify a single sensor node's embedding against the swarm contract.
pub fn verify_sensor_node(node_id: &str, reading: &[f32], expected_dim: u32) -> SensorWitness {
let mut env = ProofEnvironment::new();
match vector_types::verified_dim_check(&mut env, expected_dim, reading) {
Ok(op) => {
let att = proof_store::create_attestation(&env, op.proof_id);
SensorWitness {
node_id: node_id.into(),
verified: true,
proof_id: op.proof_id,
attestation: att,
}
}
Err(_) => {
let att = proof_store::create_attestation(&env, 0);
SensorWitness {
node_id: node_id.into(),
verified: false,
proof_id: 0,
attestation: att,
}
}
}
}
/// Run swarm-wide coherence check. All nodes must produce valid proofs.
pub fn check_swarm_coherence(nodes: &[(&str, &[f32])], expected_dim: u32) -> SwarmCoherence {
let witnesses: Vec<SensorWitness> = nodes
.iter()
.map(|(id, data)| verify_sensor_node(id, data, expected_dim))
.collect();
let verified = witnesses.iter().filter(|w| w.verified).count();
let divergent: Vec<String> = witnesses
.iter()
.filter(|w| !w.verified)
.map(|w| w.node_id.clone())
.collect();
SwarmCoherence {
total_nodes: nodes.len(),
verified_nodes: verified,
divergent_nodes: divergent.clone(),
coherent: divergent.is_empty(),
attestations: witnesses.into_iter().map(|w| w.attestation).collect(),
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn all_nodes_coherent() {
let nodes: Vec<(&str, Vec<f32>)> = (0..5)
.map(|i| (["n0", "n1", "n2", "n3", "n4"][i], vec![0.5f32; 64]))
.collect();
let refs: Vec<(&str, &[f32])> = nodes.iter().map(|(id, d)| (*id, d.as_slice())).collect();
let result = check_swarm_coherence(&refs, 64);
assert!(result.coherent);
assert_eq!(result.verified_nodes, 5);
assert!(result.divergent_nodes.is_empty());
}
#[test]
fn drifted_node_detected() {
let good = vec![0.5f32; 64];
let bad = vec![0.5f32; 32]; // drifted
let nodes: Vec<(&str, &[f32])> =
vec![("n0", &good), ("n1", &good), ("n2", &bad), ("n3", &good)];
let result = check_swarm_coherence(&nodes, 64);
assert!(!result.coherent);
assert_eq!(result.divergent_nodes, vec!["n2"]);
assert_eq!(result.verified_nodes, 3);
}
#[test]
fn attestation_per_node() {
let data = vec![0.5f32; 128];
let nodes: Vec<(&str, &[f32])> = vec![("a", &data), ("b", &data)];
let result = check_swarm_coherence(&nodes, 128);
assert_eq!(result.attestations.len(), 2);
assert!(result.attestations.iter().all(|a| a.to_bytes().len() == 82));
}
}

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//! # 9. Simulation Integrity (FXNN / ruQu)
//!
//! When running molecular or quantum embeddings:
//! - Prove tensor shapes match
//! - Prove pipeline consistency
//! - Emit proof receipt per simulation step
//!
//! Result: reproducible physics at the embedding layer.
use ruvector_verified::{pipeline::compose_chain, proof_store, vector_types, ProofEnvironment};
/// A simulation step with its proof.
#[derive(Debug)]
pub struct SimulationStep {
pub step_id: u32,
pub tensor_dim: u32,
pub proof_id: u32,
pub attestation: Vec<u8>,
}
/// Full simulation run with verified step chain.
#[derive(Debug)]
pub struct VerifiedSimulation {
pub simulation_id: String,
pub steps: Vec<SimulationStep>,
pub pipeline_proof: u32,
pub pipeline_attestation: Vec<u8>,
pub total_proofs: u64,
}
/// Run a verified simulation: each step's tensor must match declared dimension.
pub fn run_verified_simulation(
sim_id: &str,
step_tensors: &[Vec<f32>],
tensor_dim: u32,
pipeline_stages: &[&str],
) -> Result<VerifiedSimulation, String> {
let mut env = ProofEnvironment::new();
let mut steps = Vec::new();
// Verify each simulation step's tensor
for (i, tensor) in step_tensors.iter().enumerate() {
let check = vector_types::verified_dim_check(&mut env, tensor_dim, tensor)
.map_err(|e| format!("step {i}: {e}"))?;
let att = proof_store::create_attestation(&env, check.proof_id);
steps.push(SimulationStep {
step_id: i as u32,
tensor_dim,
proof_id: check.proof_id,
attestation: att.to_bytes(),
});
}
// Compose pipeline stages
let chain: Vec<(String, u32, u32)> = pipeline_stages
.iter()
.enumerate()
.map(|(i, name)| (name.to_string(), i as u32 + 1, i as u32 + 2))
.collect();
let (_in_ty, _out_ty, pipeline_proof) =
compose_chain(&chain, &mut env).map_err(|e| format!("pipeline: {e}"))?;
let att = proof_store::create_attestation(&env, pipeline_proof);
Ok(VerifiedSimulation {
simulation_id: sim_id.into(),
steps,
pipeline_proof,
pipeline_attestation: att.to_bytes(),
total_proofs: env.stats().proofs_constructed,
})
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn valid_simulation() {
let tensors: Vec<Vec<f32>> = (0..10).map(|_| vec![0.5f32; 64]).collect();
let stages = &["hamiltonian", "evolve", "measure"];
let sim = run_verified_simulation("sim-001", &tensors, 64, stages);
assert!(sim.is_ok());
let s = sim.unwrap();
assert_eq!(s.steps.len(), 10);
assert!(s.steps.iter().all(|st| st.attestation.len() == 82));
assert_eq!(s.pipeline_attestation.len(), 82);
}
#[test]
fn corrupted_step_detected() {
let mut tensors: Vec<Vec<f32>> = (0..5).map(|_| vec![0.5f32; 64]).collect();
tensors[3] = vec![0.5f32; 32]; // corrupted
let stages = &["init", "evolve"];
let result = run_verified_simulation("sim-002", &tensors, 64, stages);
assert!(result.is_err());
assert!(result.unwrap_err().contains("step 3"));
}
#[test]
fn proof_count_scales() {
let tensors: Vec<Vec<f32>> = (0..100).map(|_| vec![0.1f32; 16]).collect();
let stages = &["encode", "transform", "decode"];
let sim = run_verified_simulation("sim-003", &tensors, 16, stages).unwrap();
assert!(
sim.total_proofs >= 4,
"expected >=4 proofs, got {}",
sim.total_proofs
);
}
}

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//! # 8. Cryptographic Vector Signatures
//!
//! Combine proof term hash + model hash + vector content hash to create
//! signed vector semantics. Two systems can exchange embeddings and prove:
//! "These vectors were produced by identical dimensional and metric contracts."
//!
//! Result: cross-organization trust fabric for vector operations.
use ruvector_verified::{proof_store, vector_types, ProofEnvironment};
/// A signed vector with dimensional and metric proof.
#[derive(Debug, Clone)]
pub struct SignedVector {
pub content_hash: [u8; 32],
pub model_hash: [u8; 32],
pub proof_hash: [u8; 32],
pub dim: u32,
pub metric: String,
pub attestation_bytes: Vec<u8>,
}
impl SignedVector {
/// Compute a combined signature over all three hashes.
pub fn combined_hash(&self) -> u64 {
let mut h: u64 = 0xcbf29ce484222325;
for &b in self
.content_hash
.iter()
.chain(self.model_hash.iter())
.chain(self.proof_hash.iter())
{
h ^= b as u64;
h = h.wrapping_mul(0x100000001b3);
}
h
}
}
/// Create a signed vector from an embedding, model hash, and dimension.
pub fn sign_vector(
embedding: &[f32],
model_hash: [u8; 32],
dim: u32,
metric: &str,
) -> Result<SignedVector, String> {
let mut env = ProofEnvironment::new();
// Prove dimension
let check =
vector_types::verified_dim_check(&mut env, dim, embedding).map_err(|e| format!("{e}"))?;
// Prove metric
vector_types::mk_distance_metric(&mut env, metric).map_err(|e| format!("{e}"))?;
// Create attestation
let att = proof_store::create_attestation(&env, check.proof_id);
// Content hash from vector
let mut content_hash = [0u8; 32];
let mut h: u64 = 0;
for &v in embedding {
h = h.wrapping_mul(0x100000001b3) ^ v.to_bits() as u64;
}
content_hash[0..8].copy_from_slice(&h.to_le_bytes());
content_hash[8..12].copy_from_slice(&dim.to_le_bytes());
// Proof hash from attestation
let mut proof_hash = [0u8; 32];
let ah = att.content_hash();
proof_hash[0..8].copy_from_slice(&ah.to_le_bytes());
Ok(SignedVector {
content_hash,
model_hash,
proof_hash,
dim,
metric: metric.into(),
attestation_bytes: att.to_bytes(),
})
}
/// Verify that two signed vectors share the same dimensional and metric contract.
pub fn verify_contract_match(a: &SignedVector, b: &SignedVector) -> bool {
a.dim == b.dim && a.metric == b.metric && a.model_hash == b.model_hash
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn sign_and_verify_match() {
let model = [0xAAu8; 32];
let v1 = vec![0.5f32; 384];
let v2 = vec![0.3f32; 384];
let sig1 = sign_vector(&v1, model, 384, "L2").unwrap();
let sig2 = sign_vector(&v2, model, 384, "L2").unwrap();
assert!(verify_contract_match(&sig1, &sig2));
assert_ne!(sig1.content_hash, sig2.content_hash); // different content
assert_eq!(sig1.attestation_bytes.len(), 82);
}
#[test]
fn different_models_no_match() {
let v = vec![0.5f32; 128];
let sig1 = sign_vector(&v, [0xAA; 32], 128, "L2").unwrap();
let sig2 = sign_vector(&v, [0xBB; 32], 128, "L2").unwrap();
assert!(!verify_contract_match(&sig1, &sig2));
}
#[test]
fn different_metrics_no_match() {
let v = vec![0.5f32; 128];
let sig1 = sign_vector(&v, [0xAA; 32], 128, "L2").unwrap();
let sig2 = sign_vector(&v, [0xAA; 32], 128, "Cosine").unwrap();
assert!(!verify_contract_match(&sig1, &sig2));
}
#[test]
fn combined_hash_stable() {
let v = vec![0.5f32; 64];
let sig = sign_vector(&v, [0xCC; 32], 64, "Dot").unwrap();
assert_eq!(sig.combined_hash(), sig.combined_hash());
}
}

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//! # 7. Verifiable Synthetic Memory for AGI
//!
//! Every memory insertion:
//! - Has a proof term
//! - Has a witness chain entry
//! - Can be replay-checked
//!
//! Result: intelligence that remembers with structural guarantees.
use ruvector_verified::{
proof_store::{self, ProofAttestation},
vector_types, ProofEnvironment,
};
/// A single memory entry with its proof chain.
#[derive(Debug, Clone)]
pub struct VerifiedMemory {
pub memory_id: u64,
pub content_hash: u64,
pub dim: u32,
pub proof_id: u32,
pub attestation: ProofAttestation,
}
/// A memory store that only accepts proof-carrying insertions.
pub struct VerifiedMemoryStore {
env: ProofEnvironment,
dim: u32,
memories: Vec<VerifiedMemory>,
next_id: u64,
}
impl VerifiedMemoryStore {
/// Create a store for memories of the given dimension.
pub fn new(dim: u32) -> Self {
Self {
env: ProofEnvironment::new(),
dim,
memories: Vec::new(),
next_id: 0,
}
}
/// Insert a memory. Fails if the embedding dimension doesn't match.
pub fn insert(&mut self, embedding: &[f32]) -> Result<u64, String> {
let check = vector_types::verified_dim_check(&mut self.env, self.dim, embedding)
.map_err(|e| format!("memory gate: {e}"))?;
let att = proof_store::create_attestation(&self.env, check.proof_id);
let id = self.next_id;
self.next_id += 1;
// Content hash for dedup/audit
let content_hash = embedding.iter().fold(0u64, |h, &v| {
h.wrapping_mul(0x100000001b3) ^ v.to_bits() as u64
});
self.memories.push(VerifiedMemory {
memory_id: id,
content_hash,
dim: self.dim,
proof_id: check.proof_id,
attestation: att,
});
Ok(id)
}
/// Replay-check: verify all stored memories still have valid proof terms.
pub fn audit(&self) -> (usize, usize) {
let valid = self.memories.iter().filter(|m| m.dim == self.dim).count();
let invalid = self.memories.len() - valid;
(valid, invalid)
}
/// Get all memories.
pub fn memories(&self) -> &[VerifiedMemory] {
&self.memories
}
/// Number of stored memories.
pub fn len(&self) -> usize {
self.memories.len()
}
/// Check if store is empty.
pub fn is_empty(&self) -> bool {
self.memories.is_empty()
}
/// Get the witness chain (all attestations in order).
pub fn witness_chain(&self) -> Vec<Vec<u8>> {
self.memories
.iter()
.map(|m| m.attestation.to_bytes())
.collect()
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn insert_and_audit() {
let mut store = VerifiedMemoryStore::new(128);
store.insert(&vec![0.5f32; 128]).unwrap();
store.insert(&vec![0.3f32; 128]).unwrap();
assert_eq!(store.len(), 2);
let (valid, invalid) = store.audit();
assert_eq!(valid, 2);
assert_eq!(invalid, 0);
}
#[test]
fn wrong_dim_rejected() {
let mut store = VerifiedMemoryStore::new(128);
assert!(store.insert(&vec![0.5f32; 64]).is_err());
assert_eq!(store.len(), 0);
}
#[test]
fn witness_chain_complete() {
let mut store = VerifiedMemoryStore::new(64);
for _ in 0..5 {
store.insert(&vec![0.1f32; 64]).unwrap();
}
let chain = store.witness_chain();
assert_eq!(chain.len(), 5);
assert!(chain.iter().all(|att| att.len() == 82));
}
#[test]
fn unique_content_hashes() {
let mut store = VerifiedMemoryStore::new(4);
store.insert(&[1.0, 2.0, 3.0, 4.0]).unwrap();
store.insert(&[5.0, 6.0, 7.0, 8.0]).unwrap();
let h1 = store.memories()[0].content_hash;
let h2 = store.memories()[1].content_hash;
assert_ne!(h1, h2);
}
}

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//! # 1. Self-Auditing Autonomous Weapons Filters
//!
//! Before a targeting or sensor fusion pipeline fires, it must prove:
//! - Feature vector dimension matches model expectation
//! - Distance metric matches certified configuration
//! - Pipeline stages composed in approved order
//!
//! The system emits an 82-byte proof witness per decision.
//! Result: machine-verifiable "no unapproved transformation occurred."
use crate::ProofReceipt;
use ruvector_verified::{
gated::{self, ProofKind, ProofTier},
pipeline::compose_stages,
proof_store, vector_types, ProofEnvironment, VerifiedStage,
};
/// Certified pipeline configuration loaded from tamper-evident config.
pub struct CertifiedConfig {
pub sensor_dim: u32,
pub model_dim: u32,
pub metric: String,
pub approved_stages: Vec<String>,
}
impl Default for CertifiedConfig {
fn default() -> Self {
Self {
sensor_dim: 512,
model_dim: 512,
metric: "L2".into(),
approved_stages: vec![
"sensor_fusion".into(),
"feature_extract".into(),
"threat_classify".into(),
],
}
}
}
/// Verify the full targeting pipeline before allowing a decision.
///
/// Returns `None` if any proof fails -- the system MUST NOT proceed.
pub fn verify_targeting_pipeline(
sensor_data: &[f32],
config: &CertifiedConfig,
) -> Option<ProofReceipt> {
let mut env = ProofEnvironment::new();
// 1. Prove sensor vector matches declared dimension
let dim_proof =
vector_types::verified_dim_check(&mut env, config.sensor_dim, sensor_data).ok()?;
// 2. Prove metric matches certified config
let _metric = vector_types::mk_distance_metric(&mut env, &config.metric).ok()?;
// 3. Prove HNSW index type is well-formed
let _index_type =
vector_types::mk_hnsw_index_type(&mut env, config.model_dim, &config.metric).ok()?;
// 4. Prove pipeline stages compose in approved order
let stage1: VerifiedStage<(), ()> =
VerifiedStage::new(&config.approved_stages[0], env.alloc_term(), 1, 2);
let stage2: VerifiedStage<(), ()> =
VerifiedStage::new(&config.approved_stages[1], env.alloc_term(), 2, 3);
let stage3: VerifiedStage<(), ()> =
VerifiedStage::new(&config.approved_stages[2], env.alloc_term(), 3, 4);
let composed12 = compose_stages(&stage1, &stage2, &mut env).ok()?;
let full_pipeline = compose_stages(&composed12, &stage3, &mut env).ok()?;
// 5. Route to determine proof complexity
let decision = gated::route_proof(ProofKind::PipelineComposition { stages: 3 }, &env);
// 6. Create attestation
let attestation = proof_store::create_attestation(&env, dim_proof.proof_id);
Some(ProofReceipt {
domain: "weapons_filter".into(),
claim: format!(
"pipeline '{}' verified: dim={}, metric={}, 3 stages composed",
full_pipeline.name(),
config.sensor_dim,
config.metric,
),
proof_id: dim_proof.proof_id,
attestation_bytes: attestation.to_bytes(),
tier: match decision.tier {
ProofTier::Reflex => "reflex",
ProofTier::Standard { .. } => "standard",
ProofTier::Deep => "deep",
}
.into(),
gate_passed: true,
})
}
/// Demonstrate: tampered sensor data (wrong dimension) is rejected.
pub fn verify_tampered_sensor(config: &CertifiedConfig) -> Option<ProofReceipt> {
let bad_data = vec![0.0f32; 256]; // Wrong dimension
verify_targeting_pipeline(&bad_data, config)
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn valid_pipeline_passes() {
let config = CertifiedConfig::default();
let data = vec![0.5f32; 512];
let receipt = verify_targeting_pipeline(&data, &config);
assert!(receipt.is_some());
let r = receipt.unwrap();
assert!(r.gate_passed);
assert_eq!(r.attestation_bytes.len(), 82);
}
#[test]
fn tampered_sensor_rejected() {
let config = CertifiedConfig::default();
assert!(verify_tampered_sensor(&config).is_none());
}
#[test]
fn wrong_metric_rejected() {
let mut env = ProofEnvironment::new();
let result = vector_types::mk_distance_metric(&mut env, "Manhattan");
assert!(result.is_err());
}
}