optirs-nas 0.3.1

//! Benchmark suite for evaluating optimizer architectures
//!
//! Provides comprehensive benchmark tests and test functions.

use scirs2_core::numeric::Float;
use scirs2_core::random::Rng;
use scirs2_core::RngExt;
use std::collections::HashMap;
use std::fmt::Debug;
use std::time::{Duration, Instant, SystemTime};

use super::types::*;
use crate::error::Result;
use crate::{EvaluationConfig, OptimizerArchitecture, ResourceUsage};

/// Test function for benchmarks
#[derive(Debug, Clone)]
pub struct TestFunction<T: Float + Debug + Send + Sync + 'static> {
    /// Function type
    pub function_type: TestFunctionType,

    /// Function parameters
    pub parameters: HashMap<String, T>,

    /// Dimensionality
    pub dimensions: usize,

    /// Evaluation budget
    pub max_evaluations: usize,

    /// Target performance
    pub target_performance: Option<T>,
}

/// Standard benchmark test
#[derive(Debug, Clone)]
pub struct StandardBenchmark<T: Float + Debug + Send + Sync + 'static> {
    /// Benchmark name
    pub name: String,

    /// Benchmark type
    pub benchmark_type: BenchmarkType,

    /// Test function
    pub test_function: TestFunction<T>,

    /// Expected performance range
    pub expected_range: (T, T),

    /// Difficulty level
    pub difficulty: DifficultyLevel,

    /// Resource requirements
    pub resource_requirements: ResourceRequirements,
}

/// Custom benchmark test
#[derive(Debug, Clone)]
pub struct CustomBenchmark<T: Float + Debug + Send + Sync + 'static> {
    /// Benchmark name
    pub name: String,

    /// Custom test configuration
    pub config: CustomBenchmarkConfig<T>,

    /// Evaluation function
    pub evaluator: CustomEvaluator<T>,

    /// Validation criteria
    pub validation: ValidationCriteria<T>,
}

/// Custom benchmark configuration
#[derive(Debug, Clone)]
pub struct CustomBenchmarkConfig<T: Float + Debug + Send + Sync + 'static> {
    /// Problem definition
    pub problem_definition: ProblemDefinition<T>,

    /// Evaluation criteria
    pub evaluation_criteria: Vec<EvaluationCriterion<T>>,

    /// Success metrics
    pub success_metrics: SuccessMetrics<T>,

    /// Termination conditions
    pub termination_conditions: TerminationConditions<T>,
}

/// Problem definition for custom benchmarks
#[derive(Debug, Clone)]
pub struct ProblemDefinition<T: Float + Debug + Send + Sync + 'static> {
    /// Problem type
    pub problem_type: ProblemType,

    /// Input dimensionality
    pub input_dim: usize,

    /// Output dimensionality
    pub output_dim: usize,

    /// Dataset size
    pub dataset_size: usize,

    /// Problem-specific parameters
    pub parameters: HashMap<String, T>,

    /// Data characteristics
    pub data_characteristics: DataCharacteristics<T>,
}

/// Custom evaluator function
#[derive(Debug, Clone)]
pub struct CustomEvaluator<T: Float + Debug + Send + Sync + 'static> {
    /// Evaluator type
    pub evaluator_type: EvaluatorType,

    /// Evaluation function parameters
    pub parameters: HashMap<String, T>,

    /// Input/output specifications
    pub io_spec: IOSpecification,
}

/// Benchmark metadata
#[derive(Debug, Clone)]
pub struct BenchmarkMetadata {
    /// Suite name
    pub name: String,

    /// Version
    pub version: String,

    /// Description
    pub description: String,

    /// Creation date
    pub created_at: SystemTime,

    /// Last updated
    pub updated_at: SystemTime,

    /// Author information
    pub author: String,

    /// License
    pub license: String,
}

/// Benchmark results
#[derive(Debug, Clone)]
pub struct BenchmarkResults<T: Float + Debug + Send + Sync + 'static> {
    /// Individual test results
    pub test_results: Vec<TestResult<T>>,

    /// Overall score
    pub overall_score: T,

    /// Performance ranking
    pub ranking: PerformanceRanking,

    /// Statistical summary
    pub statistical_summary: StatisticalSummary<T>,

    /// Resource usage summary
    pub resource_summary: ResourceSummary<T>,
}

/// Individual test result
#[derive(Debug, Clone)]
pub struct TestResult<T: Float + Debug + Send + Sync + 'static> {
    /// Test name
    pub test_name: String,

    /// Score
    pub score: T,

    /// Normalized score
    pub normalized_score: T,

    /// Percentile rank
    pub percentile_rank: T,

    /// Execution time
    pub execution_time: Duration,

    /// Resource usage
    pub resource_usage: ResourceUsage,

    /// Additional metrics
    pub metrics: HashMap<String, T>,
}

/// Comprehensive benchmark suite
#[derive(Debug)]
pub struct BenchmarkSuite<T: Float + Debug + Send + Sync + 'static> {
    /// Standard benchmarks
    standard_benchmarks: Vec<StandardBenchmark<T>>,

    /// Custom benchmarks
    custom_benchmarks: Vec<CustomBenchmark<T>>,

    /// Benchmark metadata
    metadata: BenchmarkMetadata,

    /// Benchmark results cache
    results_cache: HashMap<String, BenchmarkResults<T>>,
}

impl<T: Float + Debug + Default + Send + Sync> BenchmarkSuite<T> {
    pub(crate) fn new() -> Result<Self> {
        Ok(Self {
            standard_benchmarks: Vec::new(),
            custom_benchmarks: Vec::new(),
            metadata: BenchmarkMetadata {
                name: "Standard Benchmark Suite".to_string(),
                version: "1.0.0".to_string(),
                description: "Comprehensive optimizer evaluation suite".to_string(),
                created_at: SystemTime::now(),
                updated_at: SystemTime::now(),
                author: "SciRS2 Team".to_string(),
                license: "MIT".to_string(),
            },
            results_cache: HashMap::new(),
        })
    }

    pub(crate) fn initialize(&mut self, _config: &EvaluationConfig) -> Result<()> {
        // Initialize standard benchmarks
        self.add_standard_benchmarks()?;
        Ok(())
    }

    fn add_standard_benchmarks(&mut self) -> Result<()> {
        // Add Rosenbrock function benchmark
        self.standard_benchmarks.push(StandardBenchmark {
            name: "Rosenbrock".to_string(),
            benchmark_type: BenchmarkType::NonConvexOptimization,
            test_function: TestFunction {
                function_type: TestFunctionType::Rosenbrock,
                parameters: HashMap::new(),
                dimensions: 10,
                max_evaluations: 1000,
                target_performance: Some(
                    scirs2_core::numeric::NumCast::from(1e-6).unwrap_or_else(|| T::zero()),
                ),
            },
            expected_range: (
                scirs2_core::numeric::NumCast::from(1e-8).unwrap_or_else(|| T::zero()),
                scirs2_core::numeric::NumCast::from(1e-2).unwrap_or_else(|| T::zero()),
            ),
            difficulty: DifficultyLevel::Medium,
            resource_requirements: ResourceRequirements {
                memory_mb: 100,
                cpu_cores: 1,
                gpu_memory_mb: None,
                max_runtime_seconds: 300,
                storage_mb: 10,
            },
        });

        // Add Quadratic benchmark
        self.standard_benchmarks.push(StandardBenchmark {
            name: "Quadratic".to_string(),
            benchmark_type: BenchmarkType::ConvergenceSpeed,
            test_function: TestFunction {
                function_type: TestFunctionType::Quadratic,
                parameters: HashMap::new(),
                dimensions: 20,
                max_evaluations: 500,
                target_performance: Some(
                    scirs2_core::numeric::NumCast::from(1e-8).unwrap_or_else(|| T::zero()),
                ),
            },
            expected_range: (
                scirs2_core::numeric::NumCast::from(1e-10).unwrap_or_else(|| T::zero()),
                scirs2_core::numeric::NumCast::from(1e-4).unwrap_or_else(|| T::zero()),
            ),
            difficulty: DifficultyLevel::Easy,
            resource_requirements: ResourceRequirements {
                memory_mb: 50,
                cpu_cores: 1,
                gpu_memory_mb: None,
                max_runtime_seconds: 120,
                storage_mb: 5,
            },
        });

        Ok(())
    }

    pub(crate) fn run_benchmarks(
        &mut self,
        _architecture: &OptimizerArchitecture,
    ) -> Result<Vec<TestResult<T>>> {
        let mut results = Vec::new();

        for benchmark in &self.standard_benchmarks {
            let result = self.run_single_benchmark(benchmark)?;
            results.push(result);
        }

        Ok(results)
    }

    fn run_single_benchmark(&self, benchmark: &StandardBenchmark<T>) -> Result<TestResult<T>> {
        let start_time = Instant::now();

        // Simplified benchmark execution
        let mut rng = scirs2_core::random::thread_rng();
        let score = match benchmark.test_function.function_type {
            TestFunctionType::Rosenbrock => {
                // Simulate Rosenbrock function optimization
                T::from(0.01 + rng.random::<f64>() * 0.1).expect("conversion failed")
            }
            TestFunctionType::Quadratic => {
                // Simulate quadratic function optimization
                T::from(0.001 + rng.random::<f64>() * 0.01).expect("conversion failed")
            }
            _ => {
                // Default score
                scirs2_core::numeric::NumCast::from(0.1).unwrap_or_else(|| T::zero())
            }
        };

        let execution_time = start_time.elapsed();

        Ok(TestResult {
            test_name: benchmark.name.clone(),
            score,
            normalized_score: score, // Simplified normalization
            percentile_rank: scirs2_core::numeric::NumCast::from(0.5).unwrap_or_else(|| T::zero()), // Simplified percentile
            execution_time,
            resource_usage: ResourceUsage {
                memory_usage: 100_000, // 100KB as default
                compute_time: execution_time.as_secs_f64(),
                energy_consumption: 0.001, // 1mJ as default
                memory_gb: 0.1,
                cpu_time_seconds: execution_time.as_secs_f64(),
                gpu_time_seconds: 0.0,
                energy_kwh: 0.001,
                cost_usd: 0.01,
                network_gb: 0.0,
            },
            metrics: HashMap::new(),
        })
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    #[ignore = "timeout"]
    fn test_benchmark_suite_creation() {
        let suite = BenchmarkSuite::<f64>::new();
        assert!(suite.is_ok());
    }
}