//! Tests for zero-coverage optimization modules
//!
//! [TEST-COV-013] Target optimization modules with 0% coverage

use ruchy::optimization::abstraction::*;
use ruchy::optimization::cache::*;
use ruchy::optimization::hardware::*;
use ruchy::optimization::vectorization::*;

#[test]
fn test_abstraction_analysis_creation() {
    let analysis = AbstractionAnalysis {
        runtime_overhead: 0.1,
        patterns: vec![],
        inlining_opportunities: vec![],
        allocation_overhead: 0.05,
        type_overhead: 0.02,
    };
    
    assert_eq!(analysis.runtime_overhead, 0.1);
    assert!(analysis.patterns.is_empty());
}

#[test]
fn test_abstraction_pattern_creation() {
    let pattern = AbstractionPattern {
        pattern_type: AbstractionType::Iterator,
        is_zero_cost: true,
        overhead_estimate: 0.0,
        description: "Iterator chain".to_string(),
        location: None,
        suggestions: vec!["Use iterator adaptors".to_string()],
    };
    
    assert!(pattern.is_zero_cost);
    assert_eq!(pattern.pattern_type, AbstractionType::Iterator);
    assert_eq!(pattern.suggestions.len(), 1);
}

#[test]
fn test_abstraction_types() {
    let types = vec![
        AbstractionType::Iterator,
        AbstractionType::Closure,
        AbstractionType::Generic,
        AbstractionType::Trait,
        AbstractionType::HigherOrder,
        AbstractionType::Monad,
        AbstractionType::AsyncAwait,
        AbstractionType::LazyEvaluation,
    ];
    
    for abs_type in types {
        match abs_type {
            AbstractionType::Iterator => assert_eq!(format!("{:?}", abs_type), "Iterator"),
            AbstractionType::Closure => assert_eq!(format!("{:?}", abs_type), "Closure"),
            _ => {} // Other types
        }
    }
}

#[test]
fn test_inlining_opportunity() {
    let opportunity = InliningOpportunity {
        function_name: "hot_path".to_string(),
        call_sites: vec![],
        function_size: 25,
        call_frequency: 1000,
        benefit_estimate: 0.2,
    };
    
    assert_eq!(opportunity.function_name, "hot_path");
    assert_eq!(opportunity.function_size, 25);
    assert!(opportunity.benefit_estimate > 0.0);
}

#[test]
fn test_cache_analysis() {
    let analysis = CacheAnalysis {
        l1_hits: 10000,
        l1_misses: 100,
        l2_hits: 90,
        l2_misses: 10,
        l3_hits: 8,
        l3_misses: 2,
        cache_lines: vec![],
        miss_patterns: vec![],
        prefetch_opportunities: vec![],
        false_sharing_detected: false,
        recommendations: vec!["Good cache usage".to_string()],
    };
    
    assert_eq!(analysis.l1_hits, 10000);
    assert!(!analysis.false_sharing_detected);
    assert_eq!(analysis.recommendations.len(), 1);
    
    // Test hit rate calculation
    let hit_rate = analysis.l1_hits as f64 / (analysis.l1_hits + analysis.l1_misses) as f64;
    assert!(hit_rate > 0.99);
}

#[test]
fn test_cache_line() {
    let cache_line = CacheLine {
        address: 0x1000,
        size: 64,
        access_count: 500,
        last_access: 12345,
    };
    
    assert_eq!(cache_line.address, 0x1000);
    assert_eq!(cache_line.size, 64);
    assert_eq!(cache_line.access_count, 500);
}

#[test]
fn test_cache_miss_pattern() {
    let miss = CacheMiss {
        location: CodeLocation {
            file: "hot_loop.rs".to_string(),
            line: 42,
            column: 8,
            span_length: 50,
        },
        miss_type: "L1 Data".to_string(),
        frequency: 0.1,
        impact: 0.05,
    };
    
    assert_eq!(miss.miss_type, "L1 Data");
    assert_eq!(miss.frequency, 0.1);
    assert_eq!(miss.location.line, 42);
}

#[test]
fn test_hardware_profile_components() {
    let cpu = CpuProfile {
        model: "Intel i7-10700K".to_string(),
        cores: 8,
        threads: 16,
        base_clock: 3.8,
        boost_clock: 5.1,
        architecture: "x86_64".to_string(),
        instruction_sets: vec!["SSE4.2".to_string(), "AVX2".to_string()],
        cache_hierarchy: CacheHierarchy {
            l1_instruction: CacheLevel {
                size_bytes: 32768,
                associativity: 8,
                line_size: 64,
                latency_cycles: 1,
            },
            l1_data: CacheLevel {
                size_bytes: 32768,
                associativity: 8,
                line_size: 64,
                latency_cycles: 1,
            },
            l2: CacheLevel {
                size_bytes: 262144,
                associativity: 8,
                line_size: 64,
                latency_cycles: 12,
            },
            l3: Some(CacheLevel {
                size_bytes: 16777216,
                associativity: 16,
                line_size: 64,
                latency_cycles: 42,
            }),
        },
    };
    
    assert_eq!(cpu.cores, 8);
    assert_eq!(cpu.threads, 16);
    assert!(cpu.instruction_sets.contains(&"AVX2".to_string()));
    assert_eq!(cpu.cache_hierarchy.l1_data.size_bytes, 32768);
}

#[test]
fn test_memory_profile() {
    let memory = MemoryProfile {
        total_capacity: 32 * 1024 * 1024 * 1024, // 32GB
        channels: 2,
        ddr_type: "DDR4".to_string(),
        frequency: 3200,
        bandwidth_gbps: 51.2,
        latency_ns: 15.0,
        numa_nodes: 1,
    };
    
    assert_eq!(memory.channels, 2);
    assert_eq!(memory.ddr_type, "DDR4");
    assert!(memory.bandwidth_gbps > 50.0);
}

#[test]
fn test_vectorization_analysis() {
    let analysis = VectorizationAnalysis {
        vectorizable_loops: 10,
        vectorized_loops: 7,
        opportunities: vec![],
        simd_usage: vec![SimdInstruction::Add, SimdInstruction::Multiply],
        alignment_issues: vec![],
        dependency_issues: vec![],
        recommendations: vec!["Good vectorization".to_string()],
    };
    
    let vectorization_rate = analysis.vectorized_loops as f64 / analysis.vectorizable_loops as f64;
    assert_eq!(vectorization_rate, 0.7);
    assert_eq!(analysis.simd_usage.len(), 2);
    assert!(analysis.alignment_issues.is_empty());
}

#[test]
fn test_vectorization_opportunity() {
    let opportunity = VectorizationOpportunity {
        location: CodeLocation {
            file: "matrix_multiply.rs".to_string(),
            line: 100,
            column: 12,
            span_length: 200,
        },
        loop_size: 1000,
        vector_width: 8,
        speedup_estimate: 6.5,
        instructions: vec![SimdInstruction::FusedMultiplyAdd],
        blockers: vec![],
    };
    
    assert_eq!(opportunity.loop_size, 1000);
    assert_eq!(opportunity.vector_width, 8);
    assert!(opportunity.speedup_estimate > 6.0);
    assert!(opportunity.blockers.is_empty());
}

#[test]
fn test_simd_instructions() {
    let instructions = vec![
        SimdInstruction::Add,
        SimdInstruction::Subtract,
        SimdInstruction::Multiply,
        SimdInstruction::Divide,
        SimdInstruction::FusedMultiplyAdd,
        SimdInstruction::Shuffle,
        SimdInstruction::Broadcast,
        SimdInstruction::Gather,
        SimdInstruction::Scatter,
        SimdInstruction::Compare,
        SimdInstruction::Blend,
        SimdInstruction::Permute,
    ];
    
    assert_eq!(instructions.len(), 12);
    
    for instruction in instructions {
        let is_complex = matches!(instruction, 
            SimdInstruction::Gather | 
            SimdInstruction::Scatter | 
            SimdInstruction::FusedMultiplyAdd);
        
        match instruction {
            SimdInstruction::FusedMultiplyAdd => assert!(is_complex),
            SimdInstruction::Add => assert!(!is_complex),
            _ => {} // Other instructions
        }
    }
}