use std::marker::PhantomData;
use std::time::{Duration, Instant};
use amari_core::Multivector;
#[derive(Debug, Clone, Copy)]
pub enum VerificationPlatform {
NativeCpu,
Gpu { max_overhead_ms: u64 },
Wasm { js_interop: bool },
}
#[derive(Debug, Clone, Copy, PartialEq)]
pub enum VerificationLevel {
Strict,
Statistical { sample_rate: f64 },
Boundary,
Minimal,
}
#[derive(Debug, Clone)]
pub enum VerificationError {
InvariantViolation { operation: String, details: String },
PlatformConstraint { platform: String, limitation: String },
PerformanceBudget { actual: Duration, budget: Duration },
StatisticalFailure { confidence: f64, threshold: f64 },
}
pub struct AdaptiveVerificationContext {
platform: VerificationPlatform,
level: VerificationLevel,
performance_budget: Duration,
operation_count: usize,
}
impl AdaptiveVerificationContext {
pub fn new(platform: VerificationPlatform) -> Self {
let level = Self::determine_optimal_level(platform);
let budget = Self::determine_performance_budget(platform);
Self {
platform,
level,
performance_budget: budget,
operation_count: 0,
}
}
fn determine_optimal_level(platform: VerificationPlatform) -> VerificationLevel {
match platform {
VerificationPlatform::NativeCpu => VerificationLevel::Strict,
VerificationPlatform::Gpu { max_overhead_ms } => {
if max_overhead_ms < 5 {
VerificationLevel::Minimal
} else if max_overhead_ms < 20 {
VerificationLevel::Boundary
} else {
VerificationLevel::Statistical { sample_rate: 0.1 }
}
}
VerificationPlatform::Wasm { js_interop } => {
if js_interop {
VerificationLevel::Statistical { sample_rate: 0.05 }
} else {
VerificationLevel::Boundary
}
}
}
}
fn determine_performance_budget(platform: VerificationPlatform) -> Duration {
match platform {
VerificationPlatform::NativeCpu => Duration::from_millis(50),
VerificationPlatform::Gpu { max_overhead_ms } => Duration::from_millis(max_overhead_ms),
VerificationPlatform::Wasm { .. } => Duration::from_millis(25),
}
}
pub async fn verify_operation<F, R>(
&mut self,
operation_name: &str,
operation: F,
) -> Result<R, VerificationError>
where
F: FnOnce() -> R + Send,
R: Send,
{
let start_time = Instant::now();
self.operation_count += 1;
match self.level {
VerificationLevel::Strict => {
self.strict_verification(operation_name, operation).await
}
VerificationLevel::Statistical { sample_rate } => {
self.statistical_verification(operation_name, operation, sample_rate).await
}
VerificationLevel::Boundary => {
self.boundary_verification(operation_name, operation).await
}
VerificationLevel::Minimal => {
self.minimal_verification(operation_name, operation).await
}
}
}
async fn strict_verification<F, R>(
&mut self,
operation_name: &str,
operation: F,
) -> Result<R, VerificationError>
where
F: FnOnce() -> R + Send,
R: Send,
{
let start = Instant::now();
self.verify_preconditions(operation_name)?;
let result = tokio::task::spawn_blocking(operation).await
.map_err(|_| VerificationError::InvariantViolation {
operation: operation_name.to_string(),
details: "Operation panic".to_string(),
})?;
self.verify_postconditions(operation_name)?;
let elapsed = start.elapsed();
if elapsed > self.performance_budget {
return Err(VerificationError::PerformanceBudget {
actual: elapsed,
budget: self.performance_budget,
});
}
Ok(result)
}
async fn statistical_verification<F, R>(
&mut self,
operation_name: &str,
operation: F,
sample_rate: f64,
) -> Result<R, VerificationError>
where
F: FnOnce() -> R + Send,
R: Send,
{
let should_sample = self.should_sample_operation(sample_rate);
if should_sample {
return self.strict_verification(operation_name, operation).await;
} else {
return self.minimal_verification(operation_name, operation).await;
}
}
async fn boundary_verification<F, R>(
&mut self,
operation_name: &str,
operation: F,
) -> Result<R, VerificationError>
where
F: FnOnce() -> R + Send,
R: Send,
{
self.verify_boundary_conditions(operation_name)?;
let result = tokio::task::spawn_blocking(operation).await
.map_err(|_| VerificationError::InvariantViolation {
operation: operation_name.to_string(),
details: "Boundary violation".to_string(),
})?;
Ok(result)
}
async fn minimal_verification<F, R>(
&mut self,
operation_name: &str,
operation: F,
) -> Result<R, VerificationError>
where
F: FnOnce() -> R + Send,
R: Send,
{
let result = tokio::task::spawn_blocking(operation).await
.map_err(|_| VerificationError::InvariantViolation {
operation: operation_name.to_string(),
details: "Minimal verification failure".to_string(),
})?;
Ok(result)
}
fn should_sample_operation(&self, sample_rate: f64) -> bool {
use std::collections::hash_map::DefaultHasher;
use std::hash::{Hash, Hasher};
let mut hasher = DefaultHasher::new();
self.operation_count.hash(&mut hasher);
let hash = hasher.finish();
(hash as f64 / u64::MAX as f64) < sample_rate
}
fn verify_preconditions(&self, operation_name: &str) -> Result<(), VerificationError> {
match self.platform {
VerificationPlatform::NativeCpu => {
self.verify_cpu_preconditions(operation_name)
}
VerificationPlatform::Gpu { .. } => {
self.verify_gpu_preconditions(operation_name)
}
VerificationPlatform::Wasm { .. } => {
self.verify_wasm_preconditions(operation_name)
}
}
}
fn verify_postconditions(&self, operation_name: &str) -> Result<(), VerificationError> {
match self.platform {
VerificationPlatform::NativeCpu => Ok(()),
VerificationPlatform::Gpu { .. } => Ok(()),
VerificationPlatform::Wasm { .. } => Ok(()),
}
}
fn verify_boundary_conditions(&self, operation_name: &str) -> Result<(), VerificationError> {
Ok(())
}
fn verify_cpu_preconditions(&self, _operation_name: &str) -> Result<(), VerificationError> {
Ok(())
}
fn verify_gpu_preconditions(&self, operation_name: &str) -> Result<(), VerificationError> {
if operation_name.contains("batch") && self.operation_count > 1000000 {
return Err(VerificationError::PlatformConstraint {
platform: "GPU".to_string(),
limitation: "Batch size too large for GPU memory".to_string(),
});
}
Ok(())
}
fn verify_wasm_preconditions(&self, operation_name: &str) -> Result<(), VerificationError> {
if operation_name.contains("large_batch") {
return Err(VerificationError::PlatformConstraint {
platform: "WASM".to_string(),
limitation: "Large batches may exceed WASM memory limit".to_string(),
});
}
Ok(())
}
pub fn get_stats(&self) -> VerificationStats {
VerificationStats {
platform: self.platform,
level: self.level,
operation_count: self.operation_count,
budget_remaining: self.performance_budget,
}
}
}
#[derive(Debug)]
pub struct VerificationStats {
pub platform: VerificationPlatform,
pub level: VerificationLevel,
pub operation_count: usize,
pub budget_remaining: Duration,
}
pub struct CrossPlatformVerifiedMultivector<const P: usize, const Q: usize, const R: usize> {
inner: Multivector<P, Q, R>,
verification_context: PhantomData<(P, Q, R)>,
platform_verified: bool,
}
impl<const P: usize, const Q: usize, const R: usize> CrossPlatformVerifiedMultivector<P, Q, R> {
pub fn new_verified(
multivector: Multivector<P, Q, R>,
context: &AdaptiveVerificationContext,
) -> Result<Self, VerificationError> {
match context.platform {
VerificationPlatform::NativeCpu => {
Self::verify_cpu_creation(&multivector)?;
}
VerificationPlatform::Gpu { .. } => {
Self::verify_gpu_boundary(&multivector)?;
}
VerificationPlatform::Wasm { .. } => {
Self::verify_wasm_runtime(&multivector)?;
}
}
Ok(Self {
inner: multivector,
verification_context: PhantomData,
platform_verified: true,
})
}
pub async fn geometric_product_verified(
&self,
other: &Self,
context: &mut AdaptiveVerificationContext,
) -> Result<Self, VerificationError> {
let operation = || {
let result = self.inner.geometric_product(&other.inner);
Self {
inner: result,
verification_context: PhantomData,
platform_verified: true,
}
};
context.verify_operation("geometric_product", operation).await
}
fn verify_cpu_creation(mv: &Multivector<P, Q, R>) -> Result<(), VerificationError> {
if !mv.magnitude().is_finite() {
return Err(VerificationError::InvariantViolation {
operation: "creation".to_string(),
details: "Non-finite magnitude".to_string(),
});
}
Ok(())
}
fn verify_gpu_boundary(mv: &Multivector<P, Q, R>) -> Result<(), VerificationError> {
if mv.magnitude() > 1e10 {
return Err(VerificationError::PlatformConstraint {
platform: "GPU".to_string(),
limitation: "Magnitude too large for GPU precision".to_string(),
});
}
Ok(())
}
fn verify_wasm_runtime(mv: &Multivector<P, Q, R>) -> Result<(), VerificationError> {
for i in 0..8 {
if !mv.get(i).is_finite() {
return Err(VerificationError::PlatformConstraint {
platform: "WASM".to_string(),
limitation: "Non-finite coefficients not supported in JavaScript".to_string(),
});
}
}
Ok(())
}
pub fn inner(&self) -> &Multivector<P, Q, R> {
&self.inner
}
pub fn is_platform_verified(&self) -> bool {
self.platform_verified
}
}
#[cfg(test)]
mod tests {
use super::*;
#[tokio::test]
async fn test_cpu_strict_verification() {
let mut context = AdaptiveVerificationContext::new(VerificationPlatform::NativeCpu);
let result = context.verify_operation("test_operation", || {
42
}).await;
assert!(result.is_ok());
assert_eq!(result.unwrap(), 42);
}
#[tokio::test]
async fn test_gpu_boundary_verification() {
let mut context = AdaptiveVerificationContext::new(
VerificationPlatform::Gpu { max_overhead_ms: 10 }
);
let result = context.verify_operation("gpu_operation", || {
vec![1.0, 2.0, 3.0]
}).await;
assert!(result.is_ok());
}
#[tokio::test]
async fn test_wasm_statistical_verification() {
let mut context = AdaptiveVerificationContext::new(
VerificationPlatform::Wasm { js_interop: true }
);
for i in 0..100 {
let result = context.verify_operation("wasm_operation", || i).await;
assert!(result.is_ok());
}
let stats = context.get_stats();
assert_eq!(stats.operation_count, 100);
}
#[tokio::test]
async fn test_cross_platform_multivector() {
let context = AdaptiveVerificationContext::new(VerificationPlatform::NativeCpu);
let mv = Multivector::<3, 0, 0>::basis_vector(0);
let verified_mv = CrossPlatformVerifiedMultivector::new_verified(mv, &context);
assert!(verified_mv.is_ok());
assert!(verified_mv.unwrap().is_platform_verified());
}
#[test]
fn test_platform_optimal_levels() {
let cpu_level = AdaptiveVerificationContext::determine_optimal_level(
VerificationPlatform::NativeCpu
);
assert_eq!(cpu_level, VerificationLevel::Strict);
let gpu_level = AdaptiveVerificationContext::determine_optimal_level(
VerificationPlatform::Gpu { max_overhead_ms: 2 }
);
assert_eq!(gpu_level, VerificationLevel::Minimal);
let wasm_level = AdaptiveVerificationContext::determine_optimal_level(
VerificationPlatform::Wasm { js_interop: true }
);
assert!(matches!(wasm_level, VerificationLevel::Statistical { .. }));
}
}