exo-manifold 0.1.1

//! Simplified deformation module

use crate::network::LearnedManifold;
use exo_core::{ManifoldDelta, Pattern, Result};
use parking_lot::RwLock;
use std::sync::Arc;

pub struct ManifoldDeformer {
    _network: Arc<RwLock<LearnedManifold>>,
    _learning_rate: f32,
}

impl ManifoldDeformer {
    pub fn new(network: Arc<RwLock<LearnedManifold>>, learning_rate: f32) -> Self {
        Self {
            _network: network,
            _learning_rate: learning_rate,
        }
    }

    pub fn deform(&mut self, pattern: &Pattern, salience: f32) -> Result<ManifoldDelta> {
        // Simplified deformation - just return a delta indicating success
        Ok(ManifoldDelta::ContinuousDeform {
            embedding: pattern.embedding.clone(),
            salience,
            loss: 0.0,
        })
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    use exo_core::{Metadata, PatternId, SubstrateTime};

    #[test]
    fn test_deformer_creation() {
        let network = Arc::new(RwLock::new(LearnedManifold::new(64, 128, 3)));
        let _deformer = ManifoldDeformer::new(network, 0.01);
    }

    #[test]
    fn test_deform() {
        let network = Arc::new(RwLock::new(LearnedManifold::new(64, 128, 3)));
        let mut deformer = ManifoldDeformer::new(network, 0.01);

        let pattern = Pattern {
            id: PatternId::new(),
            embedding: vec![1.0; 64],
            metadata: Metadata::default(),
            timestamp: SubstrateTime::now(),
            antecedents: vec![],
            salience: 0.9,
        };

        let result = deformer.deform(&pattern, 0.9);
        assert!(result.is_ok());
    }
}