Experimental_v2_Hybrid_Engine/src/ov_library.cpp

#include <vector>
#include <iostream>
#include <cmath>

// Simplified Kernel for Library Export
extern "C" {

    typedef struct {
        float* data;
        int size;
    } FloatArray;

    // The Core "Memory Walk" Kernel (CPU Intensive)
    // Returns a "Confidence Score" based on Truth matching
    float ov_cpu_graph_walk(float* query_vector, int size, float* truth_vector) {
        // Simulate complex graph traversal
        float dot = 0.0f;
        float norm_q = 0.0f;
        float norm_t = 0.0f;

        for(int i=0; i<size; i++) {
            dot += query_vector[i] * truth_vector[i];
            norm_q += query_vector[i] * query_vector[i];
            norm_t += truth_vector[i] * truth_vector[i];
        }
        
        float similarity = dot / (std::sqrt(norm_q) * std::sqrt(norm_t) + 1e-9);
        
        // P = S * C * R * W (Hardcoded mock metadata for speed test)
        float P = similarity * 0.95f * 1.0f * 1.0f; 
        
        return P;
    }

    // The "State Correction" Kernel (To be called during GPU wait time)
    void ov_correct_state(float* hidden_state, int size, float* truth_vector, float confidence) {
        float alpha = 0.3f * confidence;
        for(int i=0; i<size; i++) {
            hidden_state[i] = ((1.0f - alpha) * hidden_state[i]) + (alpha * truth_vector[i]);
        }
    }
}