//! # Ternary Reasoning Benchmark Suite
//! 
//! Measures reasoning density and accuracy of ternary manifolds
//! against industry standard metrics (lm-eval-harness equivalent).

pub struct BenchmarkSuite {
    pub name: String,
}

impl BenchmarkSuite {
    pub fn new(name: &str) -> Self {
        Self { name: name.to_string() }
    }

    /// Evaluates model response against a ground-truth reasoning chain.
    /// Outputs a "Trit-Drift Density Score" measuring confidence logic.
    pub fn evaluate_logic(&self, response: &[i8], target: &[i8]) -> f32 {
        // [TRL-7 SCALING]
        // Computes reasoning density:
        // High density = high confidence logic (-1 or 1).
        // Low density = hesitation at 0 (HOLD state).
        
        let mut zero_count = 0;
        let mut match_count = 0;
        
        let len = response.len().min(target.len());
        if len == 0 { return 0.0; }
        
        for i in 0..len {
            if response[i] == 0 {
                zero_count += 1;
            } else if response[i] == target[i] {
                match_count += 1;
            }
        }
        
        let density = 1.0 - (zero_count as f32 / len as f32);
        let accuracy = match_count as f32 / len as f32;
        
        println!("[{}] Reasoning Density: {:.2} | Accuracy: {:.2}", self.name, density, accuracy);
        
        (density + accuracy) / 2.0
    }
}
