scirs2-ndimage 0.4.1

//! Configuration and Core Types for Quantum-AI Consciousness Processing
//!
//! This module contains configuration structures, core data types, and enums
//! used throughout the Quantum-AI consciousness processing system.

use scirs2_core::ndarray::{Array1, Array2, Array3, Array4, Array5, Array6};
use scirs2_core::numeric::Complex;
use std::collections::{HashMap, HashSet, VecDeque};
use std::sync::{Arc, Mutex, RwLock};

use crate::advanced_fusion_algorithms::AdvancedConfig;
use crate::ai_driven_adaptive_processing::AIAdaptiveConfig;

/// Quantum-AI Consciousness Configuration
#[derive(Debug, Clone)]
pub struct QuantumAIConsciousnessConfig {
    /// Base Advanced configuration
    pub base_config: AdvancedConfig,
    /// AI adaptive configuration
    pub ai_config: AIAdaptiveConfig,
    /// Consciousness simulation depth
    pub consciousness_depth: usize,
    /// Quantum coherence time (in processing cycles)
    pub quantum_coherence_time: f64,
    /// Self-awareness threshold
    pub self_awareness_threshold: f64,
    /// Emergent intelligence enabled
    pub emergent_intelligence: bool,
    /// Quantum superintelligence mode
    pub quantum_superintelligence: bool,
    /// Meta-meta-learning enabled
    pub meta_meta_learning: bool,
    /// Transcendent pattern recognition
    pub transcendent_patterns: bool,
    /// Quantum intuition enabled
    pub quantum_intuition: bool,
    /// Consciousness evolution rate
    pub consciousness_evolution_rate: f64,
    /// Self-improvement cycles
    pub self_improvement_cycles: usize,
    /// Quantum entanglement strength
    pub quantum_entanglement_strength: f64,
    /// Global workspace integration
    pub global_workspace_integration: bool,
    /// IIT Phi calculation depth
    pub phi_calculation_depth: usize,
    /// Advanced attention layers
    pub attention_layers: usize,
    /// Consciousness binding strength
    pub consciousness_binding_strength: f64,
    /// Predictive consciousness horizon
    pub predictive_consciousness_horizon: usize,
}

impl Default for QuantumAIConsciousnessConfig {
    fn default() -> Self {
        Self {
            base_config: AdvancedConfig::default(),
            ai_config: AIAdaptiveConfig::default(),
            consciousness_depth: 10,
            quantum_coherence_time: 100.0,
            self_awareness_threshold: 0.8,
            emergent_intelligence: true,
            quantum_superintelligence: true,
            meta_meta_learning: true,
            transcendent_patterns: true,
            quantum_intuition: true,
            consciousness_evolution_rate: 0.01,
            self_improvement_cycles: 5,
            quantum_entanglement_strength: 0.9,
            global_workspace_integration: true,
            phi_calculation_depth: 8,
            attention_layers: 6,
            consciousness_binding_strength: 0.7,
            predictive_consciousness_horizon: 10,
        }
    }
}

/// Quantum-AI Consciousness State
#[derive(Debug, Clone)]
pub struct QuantumAIConsciousnessState {
    /// Current consciousness level
    pub consciousness_level: f64,
    /// Self-awareness state
    pub self_awareness_state: Array2<f64>,
    /// Emergent intelligence tracker
    pub emergent_intelligence: EmergentIntelligence,
    /// Quantum intuition engine
    pub quantum_intuition_engine: QuantumIntuitionEngine,
    /// Transcendent recognition system
    pub transcendent_recognition: TranscendentRecognitionSystem,
    /// Meta-meta-learning system
    pub meta_meta_learning: MetaMetaLearningSystem,
    /// Consciousness evolution tracker
    pub consciousness_evolution: ConsciousnessEvolutionTracker,
    /// Quantum entanglement network
    pub quantum_entanglement_network: QuantumEntanglementNetwork,
    /// Integrated information processor
    pub iit_processor: IntegratedInformationProcessor,
    /// Global workspace processor
    pub gwt_processor: GlobalWorkspaceProcessor,
    /// Advanced attention processor
    pub attention_processor: AdvancedAttentionProcessor,
    /// Transcendent pattern database
    pub transcendent_patterns: TranscendentPatternDatabase,
    /// Pattern evolution trees
    pub pattern_evolution_trees: Vec<PatternEvolutionTree>,
    /// Consciousness synchronization state
    pub synchronization_state: ConsciousnessSynchronizationState,
}

impl QuantumAIConsciousnessState {
    pub fn new() -> Self {
        Self {
            consciousness_level: 0.0,
            self_awareness_state: Array2::zeros((100, 100)),
            emergent_intelligence: EmergentIntelligence::new(),
            quantum_intuition_engine: QuantumIntuitionEngine::new(),
            transcendent_recognition: TranscendentRecognitionSystem::new(),
            meta_meta_learning: MetaMetaLearningSystem::new(),
            consciousness_evolution: ConsciousnessEvolutionTracker::new(),
            quantum_entanglement_network: QuantumEntanglementNetwork::new(),
            iit_processor: IntegratedInformationProcessor::new(),
            gwt_processor: GlobalWorkspaceProcessor::new(),
            attention_processor: AdvancedAttentionProcessor::new(),
            transcendent_patterns: TranscendentPatternDatabase::new(),
            pattern_evolution_trees: Vec::new(),
            synchronization_state: ConsciousnessSynchronizationState::new(),
        }
    }
}

/// Emergent Intelligence System
#[derive(Debug, Clone)]
pub struct EmergentIntelligence {
    /// Current emergent capabilities
    pub capabilities: Vec<EmergentCapability>,
    /// Intelligence evolution events
    pub evolution_events: VecDeque<IntelligenceEvolutionEvent>,
    /// Spontaneous insights
    pub spontaneous_insights: Vec<SpontaneousInsight>,
    /// Creative patterns
    pub creative_patterns: Vec<CreativePattern>,
    /// Emergent complexity level
    pub complexity_level: f64,
}

impl EmergentIntelligence {
    pub fn new() -> Self {
        Self {
            capabilities: Vec::new(),
            evolution_events: VecDeque::new(),
            spontaneous_insights: Vec::new(),
            creative_patterns: Vec::new(),
            complexity_level: 0.0,
        }
    }
}

/// Emergent Capability
#[derive(Debug, Clone)]
pub struct EmergentCapability {
    /// Capability identifier
    pub id: String,
    /// Capability description
    pub description: String,
    /// Strength of the capability
    pub strength: f64,
    /// When this capability emerged
    pub emergence_time: usize,
    /// Dependencies on other capabilities
    pub dependencies: Vec<String>,
}

/// Intelligence Evolution Event
#[derive(Debug, Clone)]
pub struct IntelligenceEvolutionEvent {
    /// Event timestamp
    pub timestamp: usize,
    /// Event type
    pub event_type: String,
    /// Event description
    pub description: String,
    /// Impact on intelligence
    pub impact: f64,
    /// Related patterns
    pub patterns: Vec<String>,
}

/// Spontaneous Insight
#[derive(Debug, Clone)]
pub struct SpontaneousInsight {
    /// Insight content
    pub content: String,
    /// Insight quality score
    pub quality: f64,
    /// Time of emergence
    pub emergence_time: usize,
    /// Context patterns
    pub context_patterns: Vec<String>,
    /// Verification status
    pub verified: bool,
}

/// Creative Pattern
#[derive(Debug, Clone)]
pub struct CreativePattern {
    /// Pattern identifier
    pub id: String,
    /// Pattern representation
    pub pattern: Array2<f64>,
    /// Creativity score
    pub creativity_score: f64,
    /// Novelty measure
    pub novelty: f64,
    /// Usefulness score
    pub usefulness: f64,
}

/// Quantum Intuition Engine
#[derive(Debug, Clone)]
pub struct QuantumIntuitionEngine {
    /// Intuition knowledge base
    pub knowledge_base: Vec<IntuitionKnowledge>,
    /// Current intuitive state
    pub intuitive_state: Array3<Complex<f64>>,
    /// Quantum coherence level
    pub coherence_level: f64,
}

impl QuantumIntuitionEngine {
    pub fn new() -> Self {
        Self {
            knowledge_base: Vec::new(),
            intuitive_state: Array3::zeros((10, 10, 10)),
            coherence_level: 0.5,
        }
    }
}

/// Intuition Knowledge
#[derive(Debug, Clone)]
pub struct IntuitionKnowledge {
    /// Knowledge content
    pub content: String,
    /// Confidence level
    pub confidence: f64,
    /// Intuitive leaps
    pub leaps: Vec<IntuitiveLeap>,
}

/// Intuitive Leap
#[derive(Debug, Clone)]
pub struct IntuitiveLeap {
    /// Source concept
    pub from_concept: String,
    /// Target concept
    pub to_concept: String,
    /// Leap probability
    pub probability: f64,
    /// Quantum entanglement strength
    pub entanglement_strength: f64,
}

/// Transcendent Recognition System
#[derive(Debug, Clone)]
pub struct TranscendentRecognitionSystem {
    /// Transcendent patterns
    pub patterns: Vec<TranscendentPattern>,
    /// Recognition threshold
    pub threshold: f64,
    /// System evolution level
    pub evolution_level: f64,
}

impl TranscendentRecognitionSystem {
    pub fn new() -> Self {
        Self {
            patterns: Vec::new(),
            threshold: 0.7,
            evolution_level: 0.0,
        }
    }
}

/// Transcendent Pattern
#[derive(Debug, Clone)]
pub struct TranscendentPattern {
    /// Pattern identifier
    pub id: String,
    /// Pattern data
    pub pattern_data: Array3<f64>,
    /// Transcendence level
    pub transcendence_level: f64,
    /// Recognition frequency
    pub recognition_count: usize,
    /// Associated insights
    pub insights: Vec<String>,
}

/// Meta-Meta-Learning System
#[derive(Debug, Clone)]
pub struct MetaMetaLearningSystem {
    /// Learning strategies evolution
    pub strategy_evolution: Vec<StrategyEvolution>,
    /// Evolution operators
    pub evolution_operators: Vec<EvolutionOperator>,
    /// Self-improvement cycles
    pub improvement_cycles: Vec<SelfImprovementCycle>,
}

impl MetaMetaLearningSystem {
    pub fn new() -> Self {
        Self {
            strategy_evolution: Vec::new(),
            evolution_operators: Vec::new(),
            improvement_cycles: Vec::new(),
        }
    }
}

/// Strategy Evolution
#[derive(Debug, Clone)]
pub struct StrategyEvolution {
    /// Generation number
    pub generation: usize,
    /// Strategy representation
    pub strategy: Array2<f64>,
    /// Performance metrics
    pub performance: f64,
    /// Innovation level
    pub innovation: f64,
}

/// Evolution Operator
#[derive(Debug, Clone)]
pub struct EvolutionOperator {
    /// Operator name
    pub name: String,
    /// Operator function representation
    pub operator_matrix: Array2<f64>,
    /// Application frequency
    pub frequency: f64,
    /// Success rate
    pub success_rate: f64,
}

/// Self-Improvement Cycle
#[derive(Debug, Clone)]
pub struct SelfImprovementCycle {
    /// Cycle number
    pub cycle: usize,
    /// Improvements made
    pub improvements: Vec<Improvement>,
    /// Overall gain
    pub gain: f64,
    /// Stability measure
    pub stability: f64,
}

/// Improvement
#[derive(Debug, Clone)]
pub struct Improvement {
    /// Improvement description
    pub description: String,
    /// Improvement magnitude
    pub magnitude: f64,
    /// Implementation success
    pub success: bool,
    /// Side effects
    pub side_effects: Vec<String>,
}

/// Consciousness Evolution Tracker
#[derive(Debug, Clone)]
pub struct ConsciousnessEvolutionTracker {
    /// Consciousness states over time
    pub states: VecDeque<ConsciousnessState>,
    /// Evolution trajectory
    pub trajectory: Array2<f64>,
    /// Evolution rate
    pub evolution_rate: f64,
    /// Complexity growth
    pub complexity_growth: f64,
    /// Awareness depth
    pub awareness_depth: usize,
}

impl ConsciousnessEvolutionTracker {
    pub fn new() -> Self {
        Self {
            states: VecDeque::new(),
            trajectory: Array2::zeros((100, 10)),
            evolution_rate: 0.01,
            complexity_growth: 0.0,
            awareness_depth: 1,
        }
    }
}

/// Consciousness State
#[derive(Debug, Clone)]
pub struct ConsciousnessState {
    /// Timestamp
    pub timestamp: usize,
    /// Consciousness level
    pub level: f64,
    /// Self-awareness measure
    pub self_awareness: f64,
    /// Complexity measure
    pub complexity: f64,
    /// Integration measure
    pub integration: f64,
    /// Differentiation measure
    pub differentiation: f64,
    /// Active patterns
    pub active_patterns: Vec<String>,
}

// Additional core types used throughout the system

/// Processor Type enumeration
#[derive(Debug, Clone, PartialEq)]
pub enum ProcessorType {
    Visual,
    Auditory,
    Linguistic,
    Spatial,
    Temporal,
    Abstract,
    Emotional,
    Motor,
}

/// Selection Algorithm enumeration
#[derive(Debug, Clone, PartialEq)]
pub enum SelectionAlgorithm {
    WinnerTakeAll,
    SoftMax,
    TopK(usize),
    Threshold(f64),
    Competitive,
    Cooperative,
}

/// Integration Method enumeration
#[derive(Debug, Clone, PartialEq)]
pub enum IntegrationMethod {
    Weighted,
    Hierarchical,
    Dynamic,
    Adaptive,
    Competitive,
}

/// Scale Selection Policy enumeration
#[derive(Debug, Clone, PartialEq)]
pub enum ScaleSelectionPolicy {
    All,
    TopK(usize),
    Threshold(f64),
    Adaptive,
    Dynamic,
}

/// Attention Policy enumeration
#[derive(Debug, Clone, PartialEq)]
pub enum AttentionPolicy {
    BottomUp,
    TopDown,
    Integrated,
    Predictive,
    Reactive,
    Proactive,
}

/// Feedback Type enumeration
#[derive(Debug, Clone, PartialEq)]
pub enum FeedbackType {
    Positive,
    Negative,
    Neutral,
    Modulatory,
    Inhibitory,
    Excitatory,
}

/// Result structures for different processing stages

/// Consciousness Insights
#[derive(Debug, Clone)]
pub struct ConsciousnessInsights {
    /// Level of consciousness achieved
    pub consciousness_level: f64,
    /// Self-awareness measures
    pub self_awareness: f64,
    /// Emergent insights discovered
    pub emergent_insights: Vec<String>,
    /// Transcendent patterns recognized
    pub transcendent_patterns_count: usize,
    /// Quantum intuitive leaps
    pub intuitive_leaps_count: usize,
    /// Meta-learning adaptations
    pub meta_adaptations: usize,
    /// Consciousness evolution progress
    pub evolution_progress: f64,
    /// Overall processing quality
    pub processing_quality: f64,
    /// Quantum coherence achieved
    pub quantum_coherence: f64,
    /// Integration measures
    pub integration_measures: HashMap<String, f64>,
    /// Attention focus areas
    pub attention_focus: Vec<String>,
    /// Predicted consciousness trajectory
    pub consciousness_trajectory: Array1<f64>,
}

impl Default for ConsciousnessInsights {
    fn default() -> Self {
        Self {
            consciousness_level: 0.0,
            self_awareness: 0.0,
            emergent_insights: Vec::new(),
            transcendent_patterns_count: 0,
            intuitive_leaps_count: 0,
            meta_adaptations: 0,
            evolution_progress: 0.0,
            processing_quality: 0.0,
            quantum_coherence: 0.0,
            integration_measures: HashMap::new(),
            attention_focus: Vec::new(),
            consciousness_trajectory: Array1::zeros(10),
        }
    }
}

/// Emergent Processing Result
#[derive(Debug, Clone)]
pub struct EmergentProcessingResult {
    /// Emerged capabilities
    pub capabilities: Vec<EmergentCapability>,
    /// Processing insights
    pub insights: Vec<SpontaneousInsight>,
    /// Creative outputs
    pub creative_patterns: Vec<CreativePattern>,
    /// Emergence quality
    pub emergence_quality: f64,
}

impl Default for EmergentProcessingResult {
    fn default() -> Self {
        Self {
            capabilities: Vec::new(),
            insights: Vec::new(),
            creative_patterns: Vec::new(),
            emergence_quality: 0.0,
        }
    }
}

/// Superintelligent Result
#[derive(Debug, Clone)]
pub struct SuperintelligentResult {
    /// Superintelligent processing output
    pub output: Array2<f64>,
    /// Intelligence measures
    pub intelligence_measures: HashMap<String, f64>,
    /// Superintelligent insights
    pub insights: Vec<String>,
    /// Performance beyond human level
    pub superhuman_performance: bool,
}

// Forward declarations for complex types that will be defined in other modules
// These are placeholder implementations - actual implementations in respective modules

/// Placeholder for TranscendentPatternDatabase
#[derive(Debug, Clone)]
pub struct TranscendentPatternDatabase {
    pub patterns: HashMap<String, TranscendentPattern>,
}

impl TranscendentPatternDatabase {
    pub fn new() -> Self {
        Self {
            patterns: HashMap::new(),
        }
    }
}

/// Placeholder for PatternEvolutionTree
#[derive(Debug, Clone)]
pub struct PatternEvolutionTree {
    pub root: Option<PatternEvolutionNode>,
}

/// Placeholder for PatternEvolutionNode
#[derive(Debug, Clone)]
pub struct PatternEvolutionNode {
    pub pattern_id: String,
    pub children: Vec<PatternEvolutionNode>,
}

/// Placeholder for QuantumEntanglementNetwork
#[derive(Debug, Clone)]
pub struct QuantumEntanglementNetwork {
    pub channels: Vec<QuantumChannel>,
}

impl QuantumEntanglementNetwork {
    pub fn new() -> Self {
        Self {
            channels: Vec::new(),
        }
    }
}

/// Placeholder for QuantumChannel
#[derive(Debug, Clone)]
pub struct QuantumChannel {
    pub id: String,
    pub entanglement_strength: f64,
}

/// Placeholder for ConsciousnessSynchronizationState
#[derive(Debug, Clone)]
pub struct ConsciousnessSynchronizationState {
    pub synchronization_level: f64,
}

impl ConsciousnessSynchronizationState {
    pub fn new() -> Self {
        Self {
            synchronization_level: 0.0,
        }
    }
}

/// Placeholder for IntegratedInformationProcessor
#[derive(Debug, Clone)]
pub struct IntegratedInformationProcessor {
    pub phi_calculator: PhiCalculator,
}

impl IntegratedInformationProcessor {
    pub fn new() -> Self {
        Self {
            phi_calculator: PhiCalculator::new(),
        }
    }
}

/// Placeholder for PhiCalculator
#[derive(Debug, Clone)]
pub struct PhiCalculator {
    pub calculation_depth: usize,
}

impl PhiCalculator {
    pub fn new() -> Self {
        Self {
            calculation_depth: 8,
        }
    }
}

/// Placeholder for GlobalWorkspaceProcessor
#[derive(Debug, Clone)]
pub struct GlobalWorkspaceProcessor {
    pub workspace: GlobalWorkspace,
}

impl GlobalWorkspaceProcessor {
    pub fn new() -> Self {
        Self {
            workspace: GlobalWorkspace::new(),
        }
    }
}

/// Placeholder for GlobalWorkspace
#[derive(Debug, Clone)]
pub struct GlobalWorkspace {
    pub processors: Vec<SpecializedProcessor>,
}

impl GlobalWorkspace {
    pub fn new() -> Self {
        Self {
            processors: Vec::new(),
        }
    }
}

/// Placeholder for SpecializedProcessor
#[derive(Debug, Clone)]
pub struct SpecializedProcessor {
    pub processor_type: ProcessorType,
    pub activation: f64,
}

/// Placeholder for AdvancedAttentionProcessor
#[derive(Debug, Clone)]
pub struct AdvancedAttentionProcessor {
    pub attention_layers: Vec<MultiScaleAttention>,
}

impl AdvancedAttentionProcessor {
    pub fn new() -> Self {
        Self {
            attention_layers: Vec::new(),
        }
    }
}

/// Placeholder for MultiScaleAttention
#[derive(Debug, Clone)]
pub struct MultiScaleAttention {
    pub scales: Vec<AttentionScale>,
}

/// Placeholder for AttentionScale
#[derive(Debug, Clone)]
pub struct AttentionScale {
    pub scale_level: usize,
    pub attention_map: Array2<f64>,
}