//! Quick Validation Demo
//!
//! A simple demonstration of the new validation capabilities
//! that can run quickly to verify basic functionality.

use scirs2_core::ndarray::Array2;

// Simple demo without external dependencies
#[allow(dead_code)]
fn main() {
    println!("=== QUICK VALIDATION DEMO ===");

    // Demonstrate basic functionality
    demo_array_operations();
    demo_validation_concepts();

    println!("\n✓ Quick validation demo completed successfully!");
}

#[allow(dead_code)]
fn demo_array_operations() {
    println!("\n1. BASIC ARRAY OPERATIONS");
    println!("=========================");

    // Create test arrays
    let array1 = Array2::from_shape_fn((5, 5), |(i, j)| (i + j) as f64);
    let array2 = Array2::from_shape_fn((5, 5), |(i, j)| (i + j) as f64 + 0.1);

    println!("Created test arrays:");
    println!("   Array 1: {}x{}", array1.nrows(), array1.ncols());
    println!("   Array 2: {}x{}", array2.nrows(), array2.ncols());

    // Calculate basic metrics
    let max_diff = array1
        .iter()
        .zip(array2.iter())
        .map(|(a, b)| (a - b).abs())
        .fold(0.0, f64::max);

    let mean_diff = array1
        .iter()
        .zip(array2.iter())
        .map(|(a, b)| (a - b).abs())
        .sum::<f64>()
        / (array1.len() as f64);

    println!("   Max difference: {:.6}", max_diff);
    println!("   Mean difference: {:.6}", mean_diff);
}

#[allow(dead_code)]
fn demo_validation_concepts() {
    println!("\n2. VALIDATION CONCEPTS");
    println!("======================");

    println!("The new validation modules provide:");
    println!("   ✓ Performance benchmarking against SciPy");
    println!("   ✓ API compatibility verification");
    println!("   ✓ Numerical accuracy validation");
    println!("   ✓ Comprehensive documentation examples");

    println!("\nKey validation features implemented:");

    // Demonstrate validation concepts
    let test_tolerance = 1e-6;
    let test_diff = 1e-7;
    let is_within_tolerance = test_diff < test_tolerance;

    println!(
        "   • Tolerance-based comparison: {} < {} = {}",
        test_diff, test_tolerance, is_within_tolerance
    );

    // Demonstrate benchmark concepts
    let simulated_times = [1.2, 1.1, 1.3, 1.0, 1.2]; // milliseconds
    let avg_time = simulated_times.iter().sum::<f64>() / simulated_times.len() as f64;

    println!("   • Performance tracking: avg = {:.2}ms", avg_time);

    // Demonstrate compatibility scoring
    let compatible_functions = 8;
    let total_functions = 10;
    let compatibility_score = (compatible_functions as f64 / total_functions as f64) * 100.0;

    println!(
        "   • API compatibility: {:.1}% ({}/{})",
        compatibility_score, compatible_functions, total_functions
    );

    println!("\nValidation workflow:");
    println!("   1. Run numerical validation tests");
    println!("   2. Check API compatibility with SciPy");
    println!("   3. Benchmark performance vs reference");
    println!("   4. Generate comprehensive reports");
    println!("   5. Verify all examples work correctly");
}
