scirs2-io 0.4.2

//! Simple Advanced Mode Validation Test
//!
//! A minimal test to validate that the advanced mode implementations
//! compile correctly and core functionality works as expected.

use scirs2_io::advanced_coordinator::AdvancedCoordinator;
use scirs2_io::enhanced_algorithms::AdvancedPatternRecognizer;
use scirs2_io::error::Result;

#[allow(dead_code)]
fn main() -> Result<()> {
    println!("🔍 Simple Advanced Mode Validation");
    println!("=====================================\n");

    // Test 1: Create Advanced Coordinator
    println!("Test 1: Advanced Coordinator Creation");
    match AdvancedCoordinator::new() {
        Ok(_coordinator) => println!("✅ PASS: Advanced Coordinator created successfully"),
        Err(e) => {
            println!("❌ FAIL: Advanced Coordinator creation failed: {}", e);
            return Err(e);
        }
    }

    // Test 2: Create Advanced Pattern Recognizer
    println!("\nTest 2: Advanced Pattern Recognizer Creation");
    let mut recognizer = AdvancedPatternRecognizer::new();
    println!("✅ PASS: Advanced Pattern Recognizer created successfully");

    // Test 3: Basic Pattern Analysis
    println!("\nTest 3: Basic Pattern Analysis");
    let test_data = vec![1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5];
    match recognizer.analyze_patterns(&test_data) {
        Ok(analysis) => {
            println!("✅ PASS: Pattern analysis completed");
            println!(
                "   - Pattern types detected: {}",
                analysis.pattern_scores.len()
            );
            println!("   - Complexity index: {:.3}", analysis.complexity_index);
            println!(
                "   - Predictability score: {:.3}",
                analysis.predictability_score
            );
            println!(
                "   - Emergent patterns: {}",
                analysis.emergent_patterns.len()
            );
            println!("   - Meta-patterns: {}", analysis.meta_patterns.len());
            println!(
                "   - Optimization recommendations: {}",
                analysis.optimization_recommendations.len()
            );
        }
        Err(e) => {
            println!("❌ FAIL: Pattern analysis failed: {}", e);
            return Err(e);
        }
    }

    // Test 4: Empty Data Handling
    println!("\nTest 4: Empty Data Handling");
    let empty_data = vec![];
    match recognizer.analyze_patterns(&empty_data) {
        Ok(analysis) => {
            println!("✅ PASS: Empty data handled gracefully");
            println!("   - Complexity index: {:.3}", analysis.complexity_index);
        }
        Err(e) => {
            println!("❌ FAIL: Empty data handling failed: {}", e);
            return Err(e);
        }
    }

    // Test 5: Large Data Pattern Analysis
    println!("\nTest 5: Large Data Pattern Analysis");
    let large_data: Vec<u8> = (0..1000).map(|i| (i % 256) as u8).collect();
    match recognizer.analyze_patterns(&large_data) {
        Ok(analysis) => {
            println!("✅ PASS: Large data analysis completed");
            println!("   - Data size: {} bytes", large_data.len());
            println!("   - Pattern types: {}", analysis.pattern_scores.len());

            // Check for expected pattern types
            let expected_patterns = [
                "repetition",
                "sequential",
                "fractal",
                "entropy",
                "compression",
            ];
            let mut found_patterns = 0;
            for pattern_type in &expected_patterns {
                if analysis.pattern_scores.contains_key(*pattern_type) {
                    found_patterns += 1;
                    println!(
                        "   - {}: {:.3}",
                        pattern_type, analysis.pattern_scores[*pattern_type]
                    );
                }
            }

            if found_patterns == expected_patterns.len() {
                println!("✅ All expected pattern types detected");
            } else {
                println!(
                    "⚠️  Only {}/{} expected pattern types detected",
                    found_patterns,
                    expected_patterns.len()
                );
            }
        }
        Err(e) => {
            println!("❌ FAIL: Large data analysis failed: {}", e);
            return Err(e);
        }
    }

    println!("\n🎉 All advanced validation tests passed!");
    println!("The advanced mode implementations are working correctly.");

    Ok(())
}