// Experiment management for optimization coordination
//
// This module provides comprehensive experiment lifecycle management including
// experiment design, execution tracking, result analysis, and reproducibility
// features for optimization workflows.

#[allow(dead_code)]
use scirs2_core::ndarray::Array1;
use scirs2_core::numeric::Float;
use std::collections::{HashMap, VecDeque};
use std::fmt::Debug;
use std::time::{Duration, SystemTime};

use crate::error::{OptimError, Result};

/// Experiment manager for optimization workflows
#[derive(Debug)]
pub struct ExperimentManager<T: Float + Debug + Send + Sync + 'static> {
    /// Active experiments
    active_experiments: HashMap<String, ExperimentExecution<T>>,

    /// Experiment templates
    experiment_templates: HashMap<String, ExperimentTemplate<T>>,

    /// Experiment scheduler
    scheduler: ExperimentScheduler<T>,

    /// Resource manager
    resource_manager: ExperimentResourceManager<T>,

    /// Result analyzer
    result_analyzer: ExperimentResultAnalyzer<T>,

    /// Reproducibility manager
    reproducibility_manager: ReproducibilityManager<T>,

    /// Experiment tracker
    tracker: ExperimentTracker<T>,

    /// Manager configuration
    config: ExperimentManagerConfiguration<T>,

    /// Manager statistics
    stats: ExperimentManagerStatistics<T>,
}

/// Experiment definition
#[derive(Debug, Clone)]
pub struct Experiment<T: Float + Debug + Send + Sync + 'static> {
    /// Experiment identifier
    pub experiment_id: String,

    /// Experiment name
    pub name: String,

    /// Experiment description
    pub description: String,

    /// Experiment configuration
    pub configuration: ExperimentConfiguration<T>,

    /// Experiment design
    pub design: ExperimentDesign<T>,

    /// Experiment objectives
    pub objectives: Vec<ExperimentObjective<T>>,

    /// Experiment hypotheses
    pub hypotheses: Vec<ExperimentHypothesis<T>>,

    /// Experiment metadata
    pub metadata: ExperimentMetadata,

    /// Reproducibility requirements
    pub reproducibility: ReproducibilityRequirements,
}

/// Experiment configuration
#[derive(Debug, Clone)]
pub struct ExperimentConfiguration<T: Float + Debug + Send + Sync + 'static> {
    /// Experiment type
    pub experiment_type: ExperimentType,

    /// Execution strategy
    pub execution_strategy: ExecutionStrategy,

    /// Resource requirements
    pub resource_requirements: ExperimentResourceRequirements<T>,

    /// Timeout settings
    pub timeout_settings: ExperimentTimeoutSettings,

    /// Retry policies
    pub retry_policies: HashMap<String, ExperimentRetryPolicy>,

    /// Monitoring configuration
    pub monitoring: ExperimentMonitoringConfiguration<T>,

    /// Checkpointing configuration
    pub checkpointing: ExperimentCheckpointingConfiguration<T>,

    /// Security settings
    pub security: ExperimentSecuritySettings,
}

/// Types of experiments
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum ExperimentType {
    /// Single optimization run
    SingleRun,

    /// Hyperparameter sweep
    HyperparameterSweep,

    /// Neural architecture search
    ArchitectureSearch,

    /// A/B testing
    ABTesting,

    /// Multi-objective optimization
    MultiObjective,

    /// Ensemble learning
    EnsembleLearning,

    /// Transfer learning
    TransferLearning,

    /// Meta-learning
    MetaLearning,

    /// Custom experiment
    Custom(String),
}

/// Execution strategies
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ExecutionStrategy {
    /// Sequential execution
    Sequential,

    /// Parallel execution
    Parallel,

    /// Distributed execution
    Distributed,

    /// Adaptive execution
    Adaptive,

    /// Early stopping
    EarlyStopping,

    /// Custom strategy
    Custom,
}

/// Experiment design specification
#[derive(Debug, Clone)]
pub struct ExperimentDesign<T: Float + Debug + Send + Sync + 'static> {
    /// Design type
    pub design_type: ExperimentDesignType,

    /// Experimental factors
    pub factors: Vec<ExperimentalFactor<T>>,

    /// Factor interactions
    pub interactions: Vec<FactorInteraction>,

    /// Blocking factors
    pub blocking_factors: Vec<String>,

    /// Sample size configuration
    pub sample_size: SampleSizeConfiguration<T>,

    /// Randomization settings
    pub randomization: RandomizationSettings,

    /// Control conditions
    pub controls: Vec<ControlCondition<T>>,

    /// Statistical design
    pub statistical_design: StatisticalDesign<T>,
}

/// Types of experimental designs
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ExperimentDesignType {
    /// Completely randomized design
    CompletelyRandomized,

    /// Randomized block design
    RandomizedBlock,

    /// Factorial design
    Factorial,

    /// Fractional factorial design
    FractionalFactorial,

    /// Latin square design
    LatinSquare,

    /// Response surface methodology
    ResponseSurface,

    /// Optimal design
    Optimal,

    /// Custom design
    Custom,
}

/// Experimental factor definition
#[derive(Debug, Clone)]
pub struct ExperimentalFactor<T: Float + Debug + Send + Sync + 'static> {
    /// Factor name
    pub name: String,

    /// Factor type
    pub factor_type: FactorType<T>,

    /// Factor levels
    pub levels: Vec<FactorLevel<T>>,

    /// Factor constraints
    pub constraints: Vec<FactorConstraint<T>>,

    /// Factor metadata
    pub metadata: HashMap<String, String>,
}

/// Types of experimental factors
#[derive(Debug, Clone)]
pub enum FactorType<T: Float + Debug + Send + Sync + 'static> {
    /// Continuous numeric factor
    Continuous {
        min: T,
        max: T,
        distribution: Distribution<T>,
    },

    /// Discrete numeric factor
    Discrete { values: Vec<T> },

    /// Categorical factor
    Categorical { categories: Vec<String> },

    /// Ordinal factor
    Ordinal {
        levels: Vec<String>,
        ordering: Vec<usize>,
    },

    /// Boolean factor
    Boolean,

    /// Custom factor type
    Custom {
        type_name: String,
        definition: String,
    },
}

/// Statistical distributions
#[derive(Debug, Clone)]
pub enum Distribution<T: Float + Debug + Send + Sync + 'static> {
    /// Uniform distribution
    Uniform { min: T, max: T },

    /// Normal distribution
    Normal { mean: T, std: T },

    /// Log-normal distribution
    LogNormal { mean: T, std: T },

    /// Beta distribution
    Beta { alpha: T, beta: T },

    /// Gamma distribution
    Gamma { shape: T, scale: T },

    /// Custom distribution
    Custom {
        name: String,
        parameters: HashMap<String, T>,
    },
}

/// Factor level definition
#[derive(Debug, Clone)]
pub struct FactorLevel<T: Float + Debug + Send + Sync + 'static> {
    /// Level identifier
    pub level_id: String,

    /// Level value
    pub value: FactorValue<T>,

    /// Level weight (for sampling)
    pub weight: T,

    /// Level metadata
    pub metadata: HashMap<String, String>,
}

/// Factor value representation
#[derive(Debug, Clone)]
pub enum FactorValue<T: Float + Debug + Send + Sync + 'static> {
    /// Numeric value
    Numeric(T),

    /// String value
    String(String),

    /// Boolean value
    Boolean(bool),

    /// Array value
    Array(Vec<T>),

    /// Object value
    Object(HashMap<String, String>),
}

/// Factor constraints
#[derive(Debug, Clone)]
pub enum FactorConstraint<T: Float + Debug + Send + Sync + 'static> {
    /// Range constraint
    Range { min: T, max: T },

    /// Exclusion constraint
    Exclusion {
        excluded_values: Vec<FactorValue<T>>,
    },

    /// Dependency constraint
    Dependency {
        dependent_factor: String,
        condition: String,
    },

    /// Custom constraint
    Custom { name: String, expression: String },
}

/// Factor interaction definition
#[derive(Debug, Clone)]
pub struct FactorInteraction {
    /// Interaction identifier
    pub interaction_id: String,

    /// Factors involved in interaction
    pub factors: Vec<String>,

    /// Interaction type
    pub interaction_type: InteractionType,

    /// Interaction strength
    pub strength: f64,
}

/// Types of factor interactions
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum InteractionType {
    /// Two-way interaction
    TwoWay,

    /// Three-way interaction
    ThreeWay,

    /// Higher-order interaction
    HigherOrder,

    /// Synergistic interaction
    Synergistic,

    /// Antagonistic interaction
    Antagonistic,
}

/// Sample size configuration
#[derive(Debug, Clone)]
pub struct SampleSizeConfiguration<T: Float + Debug + Send + Sync + 'static> {
    /// Sample size method
    pub method: SampleSizeMethod<T>,

    /// Minimum sample size
    pub min_sample_size: usize,

    /// Maximum sample size
    pub max_sample_size: usize,

    /// Power analysis settings
    pub power_analysis: PowerAnalysisSettings<T>,

    /// Adaptive sample size
    pub adaptive: bool,
}

/// Sample size determination methods
#[derive(Debug, Clone)]
pub enum SampleSizeMethod<T: Float + Debug + Send + Sync + 'static> {
    /// Fixed sample size
    Fixed { size: usize },

    /// Power-based sample size
    PowerBased { effect_size: T, power: T, alpha: T },

    /// Precision-based sample size
    PrecisionBased {
        margin_of_error: T,
        confidence_level: T,
    },

    /// Adaptive sample size
    Adaptive {
        initial_size: usize,
        increment: usize,
        stopping_rule: String,
    },

    /// Custom method
    Custom { method_name: String },
}

/// Power analysis settings
#[derive(Debug, Clone)]
pub struct PowerAnalysisSettings<T: Float + Debug + Send + Sync + 'static> {
    /// Effect size
    pub effect_size: T,

    /// Statistical power
    pub power: T,

    /// Significance level (alpha)
    pub alpha: T,

    /// Effect size type
    pub effect_size_type: EffectSizeType,

    /// Test type
    pub test_type: StatisticalTestType,
}

/// Effect size types
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum EffectSizeType {
    /// Cohen's d
    CohensD,

    /// Eta squared
    EtaSquared,

    /// Odds ratio
    OddsRatio,

    /// Correlation coefficient
    Correlation,

    /// Custom effect size
    Custom,
}

/// Statistical test types
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum StatisticalTestType {
    /// T-test
    TTest,

    /// ANOVA
    ANOVA,

    /// Chi-square test
    ChiSquare,

    /// Regression analysis
    Regression,

    /// Non-parametric tests
    NonParametric,

    /// Custom test
    Custom,
}

/// Randomization settings
#[derive(Debug, Clone)]
pub struct RandomizationSettings {
    /// Randomization method
    pub method: RandomizationMethod,

    /// Random seed
    pub seed: Option<u64>,

    /// Blocking variables
    pub blocking_variables: Vec<String>,

    /// Stratification variables
    pub stratification_variables: Vec<String>,

    /// Balancing constraints
    pub balancing_constraints: Vec<BalancingConstraint>,
}

/// Randomization methods
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum RandomizationMethod {
    /// Simple randomization
    Simple,

    /// Block randomization
    Block,

    /// Stratified randomization
    Stratified,

    /// Minimization
    Minimization,

    /// Adaptive randomization
    Adaptive,

    /// Custom method
    Custom,
}

/// Balancing constraint
#[derive(Debug, Clone)]
pub struct BalancingConstraint {
    /// Constraint name
    pub name: String,

    /// Variables to balance
    pub variables: Vec<String>,

    /// Tolerance level
    pub tolerance: f64,

    /// Constraint type
    pub constraint_type: ConstraintType,
}

/// Constraint types
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ConstraintType {
    /// Exact balance
    Exact,

    /// Approximate balance
    Approximate,

    /// Range constraint
    Range,

    /// Custom constraint
    Custom,
}

/// Control condition definition
#[derive(Debug, Clone)]
pub struct ControlCondition<T: Float + Debug + Send + Sync + 'static> {
    /// Control identifier
    pub control_id: String,

    /// Control type
    pub control_type: ControlType,

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

    /// Control allocation ratio
    pub allocation_ratio: T,

    /// Control metadata
    pub metadata: HashMap<String, String>,
}

/// Types of control conditions
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ControlType {
    /// Negative control
    Negative,

    /// Positive control
    Positive,

    /// Historical control
    Historical,

    /// Concurrent control
    Concurrent,

    /// Custom control
    Custom,
}

/// Statistical design specification
#[derive(Debug, Clone)]
pub struct StatisticalDesign<T: Float + Debug + Send + Sync + 'static> {
    /// Design matrix
    pub design_matrix: Option<Array1<T>>,

    /// Statistical model
    pub statistical_model: StatisticalModel<T>,

    /// Analysis plan
    pub analysis_plan: AnalysisPlan<T>,

    /// Multiple comparison corrections
    pub multiple_comparisons: MultipleComparisonCorrection,

    /// Missing data handling
    pub missing_data: MissingDataHandling,
}

/// Statistical model specification
#[derive(Debug, Clone)]
pub struct StatisticalModel<T: Float + Debug + Send + Sync + 'static> {
    /// Model type
    pub model_type: ModelType,

    /// Model formula
    pub formula: String,

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

    /// Model assumptions
    pub assumptions: Vec<ModelAssumption>,

    /// Model validation
    pub validation: ModelValidation<T>,
}

/// Statistical model types
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ModelType {
    /// Linear model
    Linear,

    /// Generalized linear model
    GeneralizedLinear,

    /// Mixed effects model
    MixedEffects,

    /// Bayesian model
    Bayesian,

    /// Non-parametric model
    NonParametric,

    /// Custom model
    Custom,
}

/// Model assumptions
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ModelAssumption {
    /// Independence
    Independence,

    /// Normality
    Normality,

    /// Homoscedasticity
    Homoscedasticity,

    /// Linearity
    Linearity,

    /// No multicollinearity
    NoMulticollinearity,

    /// Custom assumption
    Custom,
}

/// Model validation specification
#[derive(Debug, Clone)]
pub struct ModelValidation<T: Float + Debug + Send + Sync + 'static> {
    /// Validation methods
    pub methods: Vec<ValidationMethod>,

    /// Cross-validation settings
    pub cross_validation: CrossValidationSettings<T>,

    /// Goodness-of-fit tests
    pub goodness_of_fit: Vec<GoodnessOfFitTest>,

    /// Residual analysis
    pub residual_analysis: ResidualAnalysisSettings,
}

/// Validation methods
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ValidationMethod {
    /// Cross-validation
    CrossValidation,

    /// Bootstrap validation
    Bootstrap,

    /// Holdout validation
    Holdout,

    /// Leave-one-out validation
    LeaveOneOut,

    /// Time series validation
    TimeSeries,

    /// Custom validation
    Custom,
}

/// Cross-validation settings
#[derive(Debug, Clone)]
pub struct CrossValidationSettings<T: Float + Debug + Send + Sync + 'static> {
    /// Number of folds
    pub folds: usize,

    /// Number of repeats
    pub repeats: usize,

    /// Stratification
    pub stratified: bool,

    /// Random seed
    pub seed: Option<u64>,

    /// Validation metrics
    pub metrics: Vec<ValidationMetric<T>>,
}

/// Validation metric
#[derive(Debug, Clone)]
pub struct ValidationMetric<T: Float + Debug + Send + Sync + 'static> {
    /// Metric name
    pub name: String,

    /// Metric type
    pub metric_type: MetricType,

    /// Target value
    pub target_value: Option<T>,

    /// Threshold
    pub threshold: Option<T>,
}

/// Metric types
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum MetricType {
    /// Accuracy metric
    Accuracy,

    /// Precision metric
    Precision,

    /// Recall metric
    Recall,

    /// F1 score
    F1Score,

    /// AUC-ROC
    AUCROC,

    /// Mean squared error
    MSE,

    /// Mean absolute error
    MAE,

    /// R-squared
    RSquared,

    /// Custom metric
    Custom,
}

/// Goodness-of-fit tests
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum GoodnessOfFitTest {
    /// Kolmogorov-Smirnov test
    KolmogorovSmirnov,

    /// Anderson-Darling test
    AndersonDarling,

    /// Shapiro-Wilk test
    ShapiroWilk,

    /// Chi-square goodness-of-fit
    ChiSquareGOF,

    /// Hosmer-Lemeshow test
    HosmerLemeshow,

    /// Custom test
    Custom,
}

/// Residual analysis settings
#[derive(Debug, Clone)]
pub struct ResidualAnalysisSettings {
    /// Residual plots
    pub plots: Vec<ResidualPlotType>,

    /// Outlier detection
    pub outlier_detection: OutlierDetectionSettings,

    /// Influence measures
    pub influence_measures: Vec<InfluenceMeasure>,
}

/// Residual plot types
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ResidualPlotType {
    /// Residuals vs fitted
    ResidualsVsFitted,

    /// Q-Q plot
    QQPlot,

    /// Scale-location plot
    ScaleLocation,

    /// Residuals vs leverage
    ResidualsVsLeverage,

    /// Custom plot
    Custom,
}

/// Outlier detection settings
#[derive(Debug, Clone)]
pub struct OutlierDetectionSettings {
    /// Detection methods
    pub methods: Vec<OutlierDetectionMethod>,

    /// Threshold settings
    pub thresholds: HashMap<String, f64>,

    /// Action on outliers
    pub action: OutlierAction,
}

/// Outlier detection methods
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum OutlierDetectionMethod {
    /// Z-score method
    ZScore,

    /// IQR method
    IQR,

    /// Isolation forest
    IsolationForest,

    /// Local outlier factor
    LocalOutlierFactor,

    /// Custom method
    Custom,
}

/// Actions for handling outliers
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum OutlierAction {
    /// Flag outliers
    Flag,

    /// Remove outliers
    Remove,

    /// Transform outliers
    Transform,

    /// Ignore outliers
    Ignore,

    /// Custom action
    Custom,
}

/// Influence measures
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum InfluenceMeasure {
    /// Cook's distance
    CooksDistance,

    /// Leverage
    Leverage,

    /// DFFITS
    DFFITS,

    /// DFBETAS
    DFBETAS,

    /// Custom measure
    Custom,
}

/// Analysis plan specification
#[derive(Debug, Clone)]
pub struct AnalysisPlan<T: Float + Debug + Send + Sync + 'static> {
    /// Primary analysis
    pub primary_analysis: PrimaryAnalysis<T>,

    /// Secondary analyses
    pub secondary_analyses: Vec<SecondaryAnalysis>,

    /// Exploratory analyses
    pub exploratory_analyses: Vec<ExploratoryAnalysis>,

    /// Sensitivity analyses
    pub sensitivity_analyses: Vec<SensitivityAnalysis<T>>,

    /// Interim analyses
    pub interim_analyses: Vec<InterimAnalysis<T>>,
}

/// Primary analysis specification
#[derive(Debug, Clone)]
pub struct PrimaryAnalysis<T: Float + Debug + Send + Sync + 'static> {
    /// Analysis method
    pub method: AnalysisMethod,

    /// Primary endpoint
    pub primary_endpoint: String,

    /// Hypothesis test
    pub hypothesis_test: HypothesisTest<T>,

    /// Significance level
    pub significance_level: T,

    /// Analysis population
    pub analysis_population: AnalysisPopulation,
}

/// Analysis methods
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum AnalysisMethod {
    /// Descriptive analysis
    Descriptive,

    /// Inferential analysis
    Inferential,

    /// Regression analysis
    Regression,

    /// Time series analysis
    TimeSeries,

    /// Survival analysis
    Survival,

    /// Bayesian analysis
    Bayesian,

    /// Machine learning
    MachineLearning,

    /// Custom analysis
    Custom,
}

/// Hypothesis test specification
#[derive(Debug, Clone)]
pub struct HypothesisTest<T: Float + Debug + Send + Sync + 'static> {
    /// Null hypothesis
    pub null_hypothesis: String,

    /// Alternative hypothesis
    pub alternative_hypothesis: String,

    /// Test statistic
    pub test_statistic: TestStatistic,

    /// Critical value
    pub critical_value: Option<T>,

    /// P-value threshold
    pub p_value_threshold: T,

    /// Test direction
    pub test_direction: TestDirection,
}

/// Test statistics
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum TestStatistic {
    /// T-statistic
    TStatistic,

    /// F-statistic
    FStatistic,

    /// Chi-square statistic
    ChiSquareStatistic,

    /// Z-statistic
    ZStatistic,

    /// U-statistic
    UStatistic,

    /// Custom statistic
    Custom,
}

/// Test directions
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum TestDirection {
    /// Two-tailed test
    TwoTailed,

    /// One-tailed greater
    OneTailedGreater,

    /// One-tailed less
    OneTailedLess,
}

/// Analysis population
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum AnalysisPopulation {
    /// Intent-to-treat
    IntentToTreat,

    /// Per-protocol
    PerProtocol,

    /// Modified intent-to-treat
    ModifiedIntentToTreat,

    /// As-treated
    AsTreated,

    /// Complete cases
    CompleteCases,

    /// Custom population
    Custom,
}

/// Secondary analysis specification
#[derive(Debug, Clone)]
pub struct SecondaryAnalysis {
    /// Analysis identifier
    pub analysis_id: String,

    /// Analysis description
    pub description: String,

    /// Analysis method
    pub method: AnalysisMethod,

    /// Endpoints
    pub endpoints: Vec<String>,

    /// Subgroup analyses
    pub subgroup_analyses: Vec<SubgroupAnalysis>,
}

/// Subgroup analysis specification
#[derive(Debug, Clone)]
pub struct SubgroupAnalysis {
    /// Subgroup identifier
    pub subgroup_id: String,

    /// Subgroup definition
    pub definition: String,

    /// Subgroup variables
    pub variables: Vec<String>,

    /// Analysis method
    pub method: AnalysisMethod,

    /// Multiple testing adjustment
    pub multiple_testing: bool,
}

/// Exploratory analysis specification
#[derive(Debug, Clone)]
pub struct ExploratoryAnalysis {
    /// Analysis identifier
    pub analysis_id: String,

    /// Analysis description
    pub description: String,

    /// Analysis objectives
    pub objectives: Vec<String>,

    /// Analysis methods
    pub methods: Vec<AnalysisMethod>,

    /// Hypothesis generation
    pub hypothesis_generation: bool,
}

/// Sensitivity analysis specification
#[derive(Debug, Clone)]
pub struct SensitivityAnalysis<T: Float + Debug + Send + Sync + 'static> {
    /// Analysis identifier
    pub analysis_id: String,

    /// Analysis description
    pub description: String,

    /// Parameter variations
    pub parameter_variations: HashMap<String, Vec<T>>,

    /// Assumptions to test
    pub assumptions: Vec<String>,

    /// Robustness measures
    pub robustness_measures: Vec<RobustnessMeasure<T>>,
}

/// Robustness measure
#[derive(Debug, Clone)]
pub struct RobustnessMeasure<T: Float + Debug + Send + Sync + 'static> {
    /// Measure name
    pub name: String,

    /// Measure type
    pub measure_type: RobustnessMeasureType,

    /// Threshold
    pub threshold: T,

    /// Interpretation
    pub interpretation: String,
}

/// Robustness measure types
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum RobustnessMeasureType {
    /// Effect size stability
    EffectSizeStability,

    /// P-value stability
    PValueStability,

    /// Confidence interval width
    ConfidenceIntervalWidth,

    /// Prediction accuracy
    PredictionAccuracy,

    /// Custom measure
    Custom,
}

/// Interim analysis specification
#[derive(Debug, Clone)]
pub struct InterimAnalysis<T: Float + Debug + Send + Sync + 'static> {
    /// Analysis identifier
    pub analysis_id: String,

    /// Analysis timing
    pub timing: InterimAnalysisTiming,

    /// Stopping rules
    pub stopping_rules: Vec<StoppingRule<T>>,

    /// Alpha spending function
    pub alpha_spending: AlphaSpendingFunction<T>,

    /// Data monitoring committee
    pub dmc: bool,
}

/// Interim analysis timing
#[derive(Debug, Clone)]
pub enum InterimAnalysisTiming {
    /// Fixed time points
    FixedTime(Vec<Duration>),

    /// Fixed sample sizes
    FixedSample(Vec<usize>),

    /// Information-based
    InformationBased(Vec<f64>),

    /// Event-driven
    EventDriven(Vec<String>),

    /// Adaptive
    Adaptive,
}

/// Stopping rule
#[derive(Debug, Clone)]
pub struct StoppingRule<T: Float + Debug + Send + Sync + 'static> {
    /// Rule identifier
    pub rule_id: String,

    /// Rule type
    pub rule_type: StoppingRuleType,

    /// Rule condition
    pub condition: String,

    /// Threshold
    pub threshold: T,

    /// Action
    pub action: StoppingAction,
}

/// Stopping rule types
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum StoppingRuleType {
    /// Efficacy stopping
    Efficacy,

    /// Futility stopping
    Futility,

    /// Safety stopping
    Safety,

    /// Administrative stopping
    Administrative,

    /// Custom stopping
    Custom,
}

/// Stopping actions
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum StoppingAction {
    /// Stop for efficacy
    StopEfficacy,

    /// Stop for futility
    StopFutility,

    /// Stop for safety
    StopSafety,

    /// Continue trial
    Continue,

    /// Modify trial
    Modify,
}

/// Alpha spending function
#[derive(Debug, Clone)]
pub struct AlphaSpendingFunction<T: Float + Debug + Send + Sync + 'static> {
    /// Function type
    pub function_type: AlphaSpendingFunctionType,

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

    /// Total alpha to spend
    pub total_alpha: T,
}

/// Alpha spending function types
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum AlphaSpendingFunctionType {
    /// O'Brien-Fleming
    OBrienFleming,

    /// Pocock
    Pocock,

    /// Linear spending
    Linear,

    /// Exponential spending
    Exponential,

    /// Custom function
    Custom,
}

/// Multiple comparison correction
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum MultipleComparisonCorrection {
    /// No correction
    None,

    /// Bonferroni correction
    Bonferroni,

    /// Holm correction
    Holm,

    /// Benjamini-Hochberg
    BenjaminiHochberg,

    /// False discovery rate
    FDR,

    /// Custom correction
    Custom,
}

/// Missing data handling
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum MissingDataHandling {
    /// Complete case analysis
    CompleteCase,

    /// Last observation carried forward
    LOCF,

    /// Multiple imputation
    MultipleImputation,

    /// Maximum likelihood
    MaximumLikelihood,

    /// Inverse probability weighting
    IPW,

    /// Custom method
    Custom,
}

/// Experiment objective
#[derive(Debug, Clone)]
pub struct ExperimentObjective<T: Float + Debug + Send + Sync + 'static> {
    /// Objective identifier
    pub objective_id: String,

    /// Objective description
    pub description: String,

    /// Objective type
    pub objective_type: ObjectiveType,

    /// Target metric
    pub target_metric: String,

    /// Target value
    pub target_value: Option<T>,

    /// Success criteria
    pub success_criteria: SuccessCriteria<T>,

    /// Priority
    pub priority: ObjectivePriority,
}

/// Objective types
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ObjectiveType {
    /// Primary objective
    Primary,

    /// Secondary objective
    Secondary,

    /// Exploratory objective
    Exploratory,

    /// Safety objective
    Safety,

    /// Feasibility objective
    Feasibility,
}

/// Success criteria
#[derive(Debug, Clone)]
pub struct SuccessCriteria<T: Float + Debug + Send + Sync + 'static> {
    /// Minimum improvement
    pub min_improvement: Option<T>,

    /// Statistical significance required
    pub statistical_significance: bool,

    /// Practical significance threshold
    pub practical_significance: Option<T>,

    /// Confidence level
    pub confidence_level: T,

    /// Custom criteria
    pub custom_criteria: Vec<String>,
}

/// Objective priority
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
pub enum ObjectivePriority {
    Low,
    Medium,
    High,
    Critical,
}

/// Experiment hypothesis
#[derive(Debug, Clone)]
pub struct ExperimentHypothesis<T: Float + Debug + Send + Sync + 'static> {
    /// Hypothesis identifier
    pub hypothesis_id: String,

    /// Hypothesis description
    pub description: String,

    /// Null hypothesis
    pub null_hypothesis: String,

    /// Alternative hypothesis
    pub alternative_hypothesis: String,

    /// Expected effect size
    pub expected_effect_size: Option<T>,

    /// Confidence level
    pub confidence_level: T,

    /// Test method
    pub test_method: StatisticalTestType,
}

/// Experiment metadata
#[derive(Debug, Clone)]
pub struct ExperimentMetadata {
    /// Principal investigator
    pub principal_investigator: String,

    /// Research team
    pub research_team: Vec<String>,

    /// Institution
    pub institution: String,

    /// Funding source
    pub funding_source: Option<String>,

    /// Ethics approval
    pub ethics_approval: Option<String>,

    /// Registration number
    pub registration_number: Option<String>,

    /// Keywords
    pub keywords: Vec<String>,

    /// References
    pub references: Vec<String>,

    /// Creation date
    pub created_at: SystemTime,

    /// Last modified
    pub modified_at: SystemTime,
}

/// Reproducibility requirements
#[derive(Debug, Clone)]
pub struct ReproducibilityRequirements {
    /// Random seed management
    pub seed_management: SeedManagement,

    /// Environment tracking
    pub environment_tracking: EnvironmentTracking,

    /// Code versioning
    pub code_versioning: CodeVersioning,

    /// Data provenance
    pub data_provenance: DataProvenance,

    /// Result verification
    pub result_verification: ResultVerification,
}

/// Seed management settings
#[derive(Debug, Clone)]
pub struct SeedManagement {
    /// Fixed seed
    pub fixed_seed: Option<u64>,

    /// Seed recording
    pub record_seeds: bool,

    /// Seed distribution
    pub seed_distribution: SeedDistribution,
}

/// Seed distribution methods
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum SeedDistribution {
    /// Single master seed
    SingleMaster,

    /// Hierarchical seeds
    Hierarchical,

    /// Independent seeds
    Independent,

    /// Deterministic generation
    Deterministic,
}

/// Environment tracking settings
#[derive(Debug, Clone)]
pub struct EnvironmentTracking {
    /// Track system information
    pub track_system: bool,

    /// Track software versions
    pub track_software: bool,

    /// Track hardware configuration
    pub track_hardware: bool,

    /// Track environment variables
    pub track_environment: bool,

    /// Custom tracking
    pub custom_tracking: Vec<String>,
}

/// Code versioning settings
#[derive(Debug, Clone)]
pub struct CodeVersioning {
    /// Version control system
    pub vcs: Option<String>,

    /// Repository URL
    pub repository: Option<String>,

    /// Commit hash
    pub commit_hash: Option<String>,

    /// Branch name
    pub branch: Option<String>,

    /// Tag name
    pub tag: Option<String>,

    /// Code snapshot
    pub snapshot: bool,
}

/// Data provenance settings
#[derive(Debug, Clone)]
pub struct DataProvenance {
    /// Track data sources
    pub track_sources: bool,

    /// Track data transformations
    pub track_transformations: bool,

    /// Data lineage
    pub data_lineage: bool,

    /// Checksums
    pub checksums: bool,

    /// Audit trail
    pub audit_trail: bool,
}

/// Result verification settings
#[derive(Debug, Clone)]
pub struct ResultVerification {
    /// Independent verification
    pub independent_verification: bool,

    /// Cross-validation
    pub cross_validation: bool,

    /// Result checksums
    pub result_checksums: bool,

    /// Replication requirements
    pub replication_requirements: ReplicationRequirements,
}

/// Replication requirements
#[derive(Debug, Clone)]
pub struct ReplicationRequirements {
    /// Number of replications
    pub num_replications: usize,

    /// Replication tolerance
    pub tolerance: f64,

    /// Replication method
    pub method: ReplicationMethod,
}

/// Replication methods
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ReplicationMethod {
    /// Exact replication
    Exact,

    /// Approximate replication
    Approximate,

    /// Statistical replication
    Statistical,

    /// Custom method
    Custom,
}

// Simplified implementations for supporting structures

/// Experiment execution state
#[derive(Debug)]
pub struct ExperimentExecution<T: Float + Debug + Send + Sync + 'static> {
    /// Execution identifier
    pub execution_id: String,

    /// Experiment being executed
    pub experiment: Experiment<T>,

    /// Current status
    pub status: ExperimentStatus,

    /// Execution results
    pub results: ExperimentResult<T>,

    /// Resource usage
    pub resource_usage: HashMap<String, T>,

    /// Progress tracking
    pub progress: ExperimentProgress<T>,
}

/// Experiment status
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ExperimentStatus {
    Planned,
    Running,
    Paused,
    Completed,
    Failed,
    Cancelled,
}

/// Experiment result
#[derive(Debug, Clone)]
pub struct ExperimentResult<T: Float + Debug + Send + Sync + 'static> {
    /// Result status
    pub status: ResultStatus,

    /// Primary outcomes
    pub primary_outcomes: HashMap<String, T>,

    /// Secondary outcomes
    pub secondary_outcomes: HashMap<String, T>,

    /// Statistical results
    pub statistical_results: StatisticalResults<T>,

    /// Quality metrics
    pub quality_metrics: HashMap<String, T>,

    /// Artifacts
    pub artifacts: Vec<String>,
}

/// Result status
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ResultStatus {
    Success,
    Partial,
    Failed,
    Inconclusive,
}

/// Statistical results
#[derive(Debug, Clone)]
pub struct StatisticalResults<T: Float + Debug + Send + Sync + 'static> {
    /// P-values
    pub p_values: HashMap<String, T>,

    /// Effect sizes
    pub effect_sizes: HashMap<String, T>,

    /// Confidence intervals
    pub confidence_intervals: HashMap<String, (T, T)>,

    /// Test statistics
    pub test_statistics: HashMap<String, T>,
}

/// Experiment progress tracking
#[derive(Debug, Clone)]
pub struct ExperimentProgress<T: Float + Debug + Send + Sync + 'static> {
    /// Overall progress (0.0 to 1.0)
    pub overall_progress: T,

    /// Stage progress
    pub stage_progress: HashMap<String, T>,

    /// Time remaining estimate
    pub time_remaining: Option<Duration>,

    /// Completion percentage
    pub completion_percentage: T,
}

/// Experiment template
#[derive(Debug, Clone)]
pub struct ExperimentTemplate<T: Float + Debug + Send + Sync + 'static> {
    /// Template identifier
    pub template_id: String,

    /// Template name
    pub name: String,

    /// Template description
    pub description: String,

    /// Template configuration
    pub configuration: ExperimentConfiguration<T>,

    /// Default parameters
    pub default_parameters: HashMap<String, T>,

    /// Template metadata
    pub metadata: HashMap<String, String>,
}

// Supporting placeholder structures with simplified implementations

#[derive(Debug)]
pub struct ExperimentScheduler<T: Float + Debug + Send + Sync + 'static> {
    _phantom: std::marker::PhantomData<T>,
}

impl<T: Float + Debug + Send + Sync + 'static> ExperimentScheduler<T> {
    pub fn new() -> Result<Self> {
        Ok(Self {
            _phantom: std::marker::PhantomData,
        })
    }
}

#[derive(Debug)]
pub struct ExperimentResourceManager<T: Float + Debug + Send + Sync + 'static> {
    _phantom: std::marker::PhantomData<T>,
}

impl<T: Float + Debug + Send + Sync + 'static> ExperimentResourceManager<T> {
    pub fn new() -> Result<Self> {
        Ok(Self {
            _phantom: std::marker::PhantomData,
        })
    }
}

#[derive(Debug)]
pub struct ExperimentResultAnalyzer<T: Float + Debug + Send + Sync + 'static> {
    _phantom: std::marker::PhantomData<T>,
}

impl<T: Float + Debug + Send + Sync + 'static> ExperimentResultAnalyzer<T> {
    pub fn new() -> Result<Self> {
        Ok(Self {
            _phantom: std::marker::PhantomData,
        })
    }
}

#[derive(Debug)]
pub struct ReproducibilityManager<T: Float + Debug + Send + Sync + 'static> {
    _phantom: std::marker::PhantomData<T>,
}

impl<T: Float + Debug + Send + Sync + 'static> ReproducibilityManager<T> {
    pub fn new() -> Result<Self> {
        Ok(Self {
            _phantom: std::marker::PhantomData,
        })
    }
}

#[derive(Debug)]
pub struct ExperimentTracker<T: Float + Debug + Send + Sync + 'static> {
    _phantom: std::marker::PhantomData<T>,
}

impl<T: Float + Debug + Send + Sync + 'static> ExperimentTracker<T> {
    pub fn new() -> Result<Self> {
        Ok(Self {
            _phantom: std::marker::PhantomData,
        })
    }
}

/// Experiment manager configuration
#[derive(Debug, Clone)]
pub struct ExperimentManagerConfiguration<T: Float + Debug + Send + Sync + 'static> {
    /// Maximum concurrent experiments
    pub max_concurrent_experiments: usize,

    /// Default resource limits
    pub default_resource_limits: HashMap<String, T>,

    /// Result storage configuration
    pub result_storage: String,

    /// Reproducibility settings
    pub reproducibility: ReproducibilityRequirements,
}

/// Experiment manager statistics
#[derive(Debug, Clone)]
pub struct ExperimentManagerStatistics<T: Float + Debug + Send + Sync + 'static> {
    /// Total experiments managed
    pub total_experiments: usize,

    /// Completed experiments
    pub completed_experiments: usize,

    /// Failed experiments
    pub failed_experiments: usize,

    /// Average experiment duration
    pub average_duration: Duration,

    /// Success rate
    pub success_rate: T,
}

/// Experiment resource requirements
#[derive(Debug, Clone)]
pub struct ExperimentResourceRequirements<T: Float + Debug + Send + Sync + 'static> {
    /// CPU requirements
    pub cpu_cores: usize,

    /// Memory requirements (MB)
    pub memory_mb: usize,

    /// GPU requirements
    pub gpu_devices: usize,

    /// Storage requirements (GB)
    pub storage_gb: usize,

    /// Network bandwidth (Mbps)
    pub network_mbps: f64,

    /// Custom resources
    pub custom_resources: HashMap<String, T>,
}

/// Experiment timeout settings
#[derive(Debug, Clone)]
pub struct ExperimentTimeoutSettings {
    /// Global timeout
    pub global_timeout: Option<Duration>,

    /// Stage timeouts
    pub stage_timeouts: HashMap<String, Duration>,

    /// Idle timeout
    pub idle_timeout: Option<Duration>,
}

/// Experiment retry policy
#[derive(Debug, Clone)]
pub struct ExperimentRetryPolicy {
    /// Maximum retries
    pub max_retries: usize,

    /// Retry delay
    pub retry_delay: Duration,

    /// Backoff multiplier
    pub backoff_multiplier: f64,

    /// Retryable errors
    pub retryable_errors: Vec<String>,
}

/// Experiment monitoring configuration
#[derive(Debug, Clone)]
pub struct ExperimentMonitoringConfiguration<T: Float + Debug + Send + Sync + 'static> {
    /// Monitoring enabled
    pub enabled: bool,

    /// Monitoring frequency
    pub frequency: Duration,

    /// Metrics to collect
    pub metrics: Vec<String>,

    /// Alert thresholds
    pub alert_thresholds: HashMap<String, T>,
}

/// Experiment checkpointing configuration
#[derive(Debug, Clone)]
pub struct ExperimentCheckpointingConfiguration<T: Float + Debug + Send + Sync + 'static> {
    /// Checkpointing enabled
    pub enabled: bool,

    /// Checkpoint frequency
    pub frequency: Duration,

    /// Checkpoint retention
    pub retention_count: usize,

    /// Compression enabled
    pub compression: bool,

    /// Custom settings
    pub custom_settings: HashMap<String, T>,
}

/// Experiment security settings
#[derive(Debug, Clone)]
pub struct ExperimentSecuritySettings {
    /// Authentication required
    pub authentication_required: bool,

    /// Encryption enabled
    pub encryption_enabled: bool,

    /// Access control
    pub access_control: HashMap<String, Vec<String>>,

    /// Audit logging
    pub audit_logging: bool,
}

impl<T: Float + Debug + Default + Clone + Send + Sync + 'static> ExperimentManager<T> {
    /// Create new experiment manager
    pub fn new(config: ExperimentManagerConfiguration<T>) -> Result<Self> {
        Ok(Self {
            active_experiments: HashMap::new(),
            experiment_templates: HashMap::new(),
            scheduler: ExperimentScheduler::new()?,
            resource_manager: ExperimentResourceManager::new()?,
            result_analyzer: ExperimentResultAnalyzer::new()?,
            reproducibility_manager: ReproducibilityManager::new()?,
            tracker: ExperimentTracker::new()?,
            config,
            stats: ExperimentManagerStatistics::default(),
        })
    }

    /// Start a new experiment
    pub fn start_experiment(&mut self, experiment: Experiment<T>) -> Result<String> {
        let execution_id = format!(
            "exp_{}",
            std::time::SystemTime::now()
                .duration_since(std::time::UNIX_EPOCH)
                .unwrap_or_default()
                .as_secs()
        );

        let execution = ExperimentExecution {
            execution_id: execution_id.clone(),
            experiment,
            status: ExperimentStatus::Running,
            results: ExperimentResult {
                status: ResultStatus::Success,
                primary_outcomes: HashMap::new(),
                secondary_outcomes: HashMap::new(),
                statistical_results: StatisticalResults {
                    p_values: HashMap::new(),
                    effect_sizes: HashMap::new(),
                    confidence_intervals: HashMap::new(),
                    test_statistics: HashMap::new(),
                },
                quality_metrics: HashMap::new(),
                artifacts: Vec::new(),
            },
            resource_usage: HashMap::new(),
            progress: ExperimentProgress {
                overall_progress: T::zero(),
                stage_progress: HashMap::new(),
                time_remaining: None,
                completion_percentage: T::zero(),
            },
        };

        self.active_experiments
            .insert(execution_id.clone(), execution);
        self.stats.total_experiments += 1;

        Ok(execution_id)
    }

    /// Get experiment status
    pub fn get_experiment_status(&self, execution_id: &str) -> Option<ExperimentStatus> {
        self.active_experiments
            .get(execution_id)
            .map(|exec| exec.status)
    }

    /// Get experiment results
    pub fn get_experiment_results(&self, execution_id: &str) -> Option<&ExperimentResult<T>> {
        self.active_experiments
            .get(execution_id)
            .map(|exec| &exec.results)
    }

    /// Get manager statistics
    pub fn get_statistics(&self) -> &ExperimentManagerStatistics<T> {
        &self.stats
    }
}

// Default implementations

impl<T: Float + Debug + Default + Send + Sync> Default for ExperimentManagerStatistics<T> {
    fn default() -> Self {
        Self {
            total_experiments: 0,
            completed_experiments: 0,
            failed_experiments: 0,
            average_duration: Duration::from_secs(0),
            success_rate: T::zero(),
        }
    }
}
