scirs2-ndimage 0.4.2

//! # Quantum Consciousness Simulation Module
//!
//! This module provides advanced quantum consciousness simulation capabilities for image processing,
//! combining quantum mechanical principles with consciousness-inspired computing paradigms.
//!
//! ## Features
//!
//! - **Quantum Consciousness Simulation**: Models consciousness-like processing using quantum superposition,
//!   entanglement, and quantum interference effects
//! - **Evolutionary Consciousness**: Advanced consciousness evolution using quantum-inspired evolutionary
//!   dynamics that allow consciousness to adapt and emerge over time
//! - **Quantum State Management**: Sophisticated quantum amplitude management and coherence optimization
//! - **Consciousness Analysis**: Comprehensive analysis of consciousness states including level assessment,
//!   coherence quality measurement, and self-awareness indexing
//! - **Integrated Information Theory**: Implementation of simplified Phi measures for consciousness quantification
//!
//! ## Core Concepts
//!
//! The module implements several key concepts from consciousness research and quantum computing:
//!
//! - **Quantum Superposition**: Consciousness states exist in superposition until measured
//! - **Quantum Entanglement**: Consciousness levels can be entangled across different spatial regions
//! - **Decoherence Management**: Strategies to maintain quantum coherence in consciousness processing
//! - **Evolutionary Adaptation**: Consciousness parameters evolve based on processing effectiveness
//! - **Global Coherence**: Maintenance of coherent consciousness across entire processing domains
//!
//! ## Usage
//!
//! ```rust,ignore
//! use crate::advanced_fusion_algorithms::quantum_consciousness::*;
//! use scirs2_core::ndarray::{Array2, Array5};
//!
//! # fn main() -> Result<(), Box<dyn std::error::Error>> {
//! # let features = Array5::zeros((1, 3, 10, 64, 64));
//! # let mut state = AdvancedState::default();
//! # let config = AdvancedConfig::default();
//! # let image = Array2::zeros((64, 64));
//! // Basic quantum consciousness simulation
//! let consciousness_output = simulate_quantum_consciousness(
//!     &features,
//!     &mut state,
//!     &config,
//! )?;
//!
//! // Enhanced evolution-based consciousness processing
//! let mut evolution_system = QuantumConsciousnessEvolution::default();
//! let evolved_output = enhanced_quantum_consciousness_evolution(
//!     image.view(),
//!     &features,
//!     &mut state,
//!     &config,
//!     &mut evolution_system,
//! )?;
//! # Ok(())
//! # }
//! ```

use scirs2_core::ndarray::{s, Array1, Array2, Array3, Array4, Array5, ArrayView1, ArrayView2};
use scirs2_core::numeric::Complex;
use scirs2_core::numeric::{Float, FromPrimitive, Zero};
use std::collections::{HashMap, VecDeque};
use std::f64::consts::PI;
use std::sync::{Arc, RwLock};

use super::config::*;
use crate::error::NdimageResult;

/// Represents the state of consciousness in quantum simulation
#[derive(Debug, Clone)]
pub struct ConsciousnessState {
    /// Consciousness level (0.0 to 1.0)
    pub level: f64,
    /// Quantum coherence quality
    pub coherence_quality: f64,
    /// Information integration measure (Phi)
    pub phi_measure: f64,
    /// Attention focus strength
    pub attention_strength: f64,
    /// Self-awareness index
    pub self_awareness: f64,
    /// Timestamp of state
    pub timestamp: usize,
}

/// Metrics for consciousness complexity assessment
#[derive(Debug, Clone)]
pub struct ConsciousnessComplexity {
    /// Integrated information measure
    pub integrated_information: f64,
    /// Causal structure complexity
    pub causal_complexity: f64,
    /// Temporal coherence measure
    pub temporal_coherence: f64,
    /// Hierarchical organization index
    pub hierarchical_index: f64,
    /// Emergent property strength
    pub emergence_strength: f64,
}

/// Quantum coherence optimization strategies
#[derive(Debug, Clone)]
pub enum CoherenceStrategy {
    /// Error correction based coherence preservation
    ErrorCorrection {
        threshold: f64,
        correction_rate: f64,
    },
    /// Decoherence suppression
    DecoherenceSuppression { suppression_strength: f64 },
    /// Entanglement purification
    EntanglementPurification { purification_cycles: usize },
    /// Dynamical decoupling
    DynamicalDecoupling { pulse_frequency: f64 },
    /// Quantum Zeno effect
    QuantumZeno { measurement_frequency: f64 },
}

/// Quantum coherence optimization engine
#[derive(Debug, Clone)]
pub struct QuantumCoherenceOptimizer {
    /// Coherence maintenance strategies
    pub strategies: Vec<CoherenceStrategy>,
    /// Optimization parameters
    pub optimization_params: HashMap<String, f64>,
    /// Performance history
    pub performancehistory: VecDeque<f64>,
}

/// Quantum consciousness evolution system
#[derive(Debug, Clone)]
pub struct QuantumConsciousnessEvolution {
    /// Consciousness evolution history
    pub evolutionhistory: VecDeque<ConsciousnessState>,
    /// Evolution rate parameters
    pub evolution_rate: f64,
    /// Consciousness complexity metrics
    pub complexitymetrics: ConsciousnessComplexity,
    /// Quantum coherence optimization engine
    pub coherence_optimizer: QuantumCoherenceOptimizer,
    /// Evolutionary selection pressure
    pub selection_pressure: f64,
    /// Consciousness emergence threshold
    pub emergence_threshold: f64,
}

impl Default for QuantumConsciousnessEvolution {
    fn default() -> Self {
        Self {
            evolutionhistory: VecDeque::new(),
            evolution_rate: 0.01,
            complexitymetrics: ConsciousnessComplexity {
                integrated_information: 0.0,
                causal_complexity: 0.0,
                temporal_coherence: 0.0,
                hierarchical_index: 0.0,
                emergence_strength: 0.0,
            },
            coherence_optimizer: QuantumCoherenceOptimizer {
                strategies: vec![
                    CoherenceStrategy::ErrorCorrection {
                        threshold: 0.95,
                        correction_rate: 0.1,
                    },
                    CoherenceStrategy::DecoherenceSuppression {
                        suppression_strength: 0.8,
                    },
                    CoherenceStrategy::EntanglementPurification {
                        purification_cycles: 5,
                    },
                ],
                optimization_params: HashMap::new(),
                performancehistory: VecDeque::new(),
            },
            selection_pressure: 0.1,
            emergence_threshold: 0.7,
        }
    }
}

/// Quantum Consciousness Simulation
///
/// Simulates consciousness-like processing using quantum mechanical principles
/// including superposition, entanglement, and quantum interference effects.
#[allow(dead_code)]
pub fn simulate_quantum_consciousness(
    advancedfeatures: &Array5<f64>,
    advancedstate: &mut AdvancedState,
    config: &AdvancedConfig,
) -> NdimageResult<Array2<f64>> {
    let (height, width, dimensions, temporal, consciousness) = advancedfeatures.dim();
    let mut consciousness_output = Array2::zeros((height, width));

    // Initialize quantum consciousness amplitudes if not present
    if advancedstate.consciousness_amplitudes.dim() != (height, width, consciousness, 2) {
        advancedstate.consciousness_amplitudes = Array4::zeros((height, width, consciousness, 2));

        // Initialize in quantum superposition state
        let amplitude = Complex::new((1.0 / consciousness as f64).sqrt(), 0.0);
        advancedstate.consciousness_amplitudes.fill(amplitude);
    }

    // Quantum consciousness processing
    for y in 0..height {
        for x in 0..width {
            let mut consciousness_amplitude = Complex::new(0.0, 0.0);

            // Process each consciousness level
            for c in 0..consciousness {
                // Extract multi-dimensional feature vector
                let mut feature_vector = Vec::new();
                for d in 0..dimensions {
                    for t in 0..temporal {
                        feature_vector.push(advancedfeatures[(y, x, d, t, c)]);
                    }
                }

                // Apply quantum consciousness operators
                let quantumstate = apply_quantum_consciousness_operators(
                    &feature_vector,
                    &advancedstate
                        .consciousness_amplitudes
                        .slice(s![y, x, c, ..]),
                    config,
                )?;

                // Update consciousness amplitudes
                advancedstate.consciousness_amplitudes[(y, x, c, 0)] =
                    Complex::new(quantumstate.re, 0.0);
                advancedstate.consciousness_amplitudes[(y, x, c, 1)] =
                    Complex::new(quantumstate.im, 0.0);

                // Accumulate consciousness response
                consciousness_amplitude += quantumstate;
            }

            // Consciousness measurement (collapse to classical state)
            let consciousness_probability = consciousness_amplitude.norm_sqr();
            consciousness_output[(y, x)] = consciousness_probability;
        }
    }

    // Apply consciousness-level global coherence
    apply_global_consciousness_coherence(&mut consciousness_output, advancedstate, config)?;

    Ok(consciousness_output)
}

/// Apply quantum consciousness operators to feature vectors
#[allow(dead_code)]
fn apply_quantum_consciousness_operators(
    feature_vector: &[f64],
    consciousnessstate: &ArrayView1<Complex<f64>>,
    config: &AdvancedConfig,
) -> NdimageResult<Complex<f64>> {
    if feature_vector.is_empty() || consciousnessstate.is_empty() {
        return Ok(Complex::new(0.0, 0.0));
    }

    let mut quantumstate = Complex::new(0.0, 0.0);

    // Quantum superposition of feature states
    let feature_norm = feature_vector
        .iter()
        .map(|&x| x * x)
        .sum::<f64>()
        .sqrt()
        .max(1e-10);
    let normalizedfeatures: Vec<f64> = feature_vector.iter().map(|&x| x / feature_norm).collect();

    // Apply quantum Hadamard-like transformation
    for (i, &feature) in normalizedfeatures.iter().enumerate() {
        if i < consciousnessstate.len() {
            let phase = feature * PI * config.quantum.phase_factor;
            let amplitude = (feature.abs() / config.consciousness_depth as f64).sqrt();

            // Quantum interference with existing consciousness state
            let existingstate = consciousnessstate[i % consciousnessstate.len()];

            // Apply quantum rotation
            let cos_phase = phase.cos();
            let sin_phase = phase.sin();

            let rotated_real = existingstate.re * cos_phase - existingstate.im * sin_phase;
            let rotated_imag = existingstate.re * sin_phase + existingstate.im * cos_phase;

            quantumstate += Complex::new(rotated_real, rotated_imag) * amplitude;
        }
    }

    // Apply quantum entanglement effects
    let entanglement_factor = config.quantum.entanglement_strength;
    let entangled_phase = normalizedfeatures.iter().sum::<f64>() * PI * entanglement_factor;

    let entanglement_rotation = Complex::new(entangled_phase.cos(), entangled_phase.sin());
    quantumstate *= entanglement_rotation;

    // Apply consciousness-specific quantum effects
    let consciousness_depth_factor =
        1.0 / (1.0 + (-(config.consciousness_depth as f64) * 0.1).exp());
    quantumstate *= consciousness_depth_factor;

    // Quantum decoherence simulation
    let decoherence_factor = (1.0 - config.quantum.decoherence_rate).max(0.1);
    quantumstate *= decoherence_factor;

    // Normalize quantum state
    let norm = quantumstate.norm();
    if norm > 1e-10 {
        quantumstate /= norm;
    }

    Ok(quantumstate)
}

/// Apply global consciousness coherence effects
#[allow(dead_code)]
fn apply_global_consciousness_coherence(
    _consciousness_output: &mut Array2<f64>,
    _advancedstate: &AdvancedState,
    _config: &AdvancedConfig,
) -> NdimageResult<()> {
    // TODO: Implement global coherence optimization
    // This would involve spatial correlation analysis and coherence enhancement
    Ok(())
}

/// Enhanced Quantum Consciousness Processing with Evolution
///
/// This advanced function extends the existing quantum consciousness simulation
/// with evolutionary dynamics, allowing consciousness to adapt and emerge
/// over time through quantum-inspired evolutionary processes.
#[allow(dead_code)]
pub fn enhanced_quantum_consciousness_evolution<T>(
    image: ArrayView2<T>,
    advancedfeatures: &Array5<f64>,
    advancedstate: &mut AdvancedState,
    config: &AdvancedConfig,
    evolution_system: &mut QuantumConsciousnessEvolution,
) -> NdimageResult<Array2<f64>>
where
    T: Float + FromPrimitive + Copy,
{
    let (height, width, dimensions, temporal, consciousness) = advancedfeatures.dim();
    let mut consciousness_output = Array2::zeros((height, width));

    // Analyze current consciousness state
    let currentstate = analyze_consciousnessstate(advancedstate, config)?;

    // Evolutionary consciousness adaptation
    evolve_consciousness_parameters(evolution_system, &currentstate, config)?;

    // Enhanced quantum processing with evolution
    for y in 0..height {
        for x in 0..width {
            let mut evolved_consciousness_amplitude = Complex::new(0.0, 0.0);

            // Process each consciousness level with evolutionary enhancement
            for c in 0..consciousness {
                // Extract multi-dimensional feature vector
                let mut feature_vector = Vec::new();
                for d in 0..dimensions {
                    for t in 0..temporal {
                        feature_vector.push(advancedfeatures[(y, x, d, t, c)]);
                    }
                }

                // Apply evolved quantum consciousness operators
                let evolved_quantumstate = apply_evolved_quantum_consciousness_operators(
                    &feature_vector,
                    &advancedstate
                        .consciousness_amplitudes
                        .slice(s![y, x, c, ..]),
                    config,
                    evolution_system,
                )?;

                // Update consciousness amplitudes with evolution
                advancedstate.consciousness_amplitudes[(y, x, c, 0)] =
                    Complex::new(evolved_quantumstate.re, 0.0);
                advancedstate.consciousness_amplitudes[(y, x, c, 1)] =
                    Complex::new(evolved_quantumstate.im, 0.0);

                // Accumulate evolved consciousness response
                evolved_consciousness_amplitude += evolved_quantumstate;
            }

            // Apply consciousness evolution and selection
            let evolved_response = apply_consciousness_evolution_selection(
                evolved_consciousness_amplitude,
                evolution_system,
                (y, x),
                config,
            )?;

            consciousness_output[(y, x)] = evolved_response;
        }
    }

    // Apply global consciousness evolution coherence
    apply_evolved_global_consciousness_coherence(
        &mut consciousness_output,
        advancedstate,
        evolution_system,
        config,
    )?;

    // Update evolution history
    update_consciousness_evolutionhistory(evolution_system, &currentstate)?;

    Ok(consciousness_output)
}

/// Analyze current consciousness state for evolutionary adaptation
#[allow(dead_code)]
fn analyze_consciousnessstate(
    advancedstate: &AdvancedState,
    config: &AdvancedConfig,
) -> NdimageResult<ConsciousnessState> {
    // Calculate consciousness level based on quantum amplitudes
    let total_amplitudes = advancedstate.consciousness_amplitudes.len() as f64;
    let coherence_sum = advancedstate
        .consciousness_amplitudes
        .iter()
        .map(|&amp| amp.norm())
        .sum::<f64>();

    let consciousness_level = if total_amplitudes > 0.0 {
        coherence_sum / total_amplitudes
    } else {
        0.0
    };

    // Calculate quantum coherence quality
    let coherence_variance = advancedstate
        .consciousness_amplitudes
        .iter()
        .map(|&amp| {
            let norm = amp.norm();
            (norm - consciousness_level).powi(2)
        })
        .sum::<f64>()
        / total_amplitudes.max(1.0);

    let coherence_quality = 1.0 / (1.0 + coherence_variance);

    // Calculate Phi measure (simplified integrated information)
    let phi_measure = calculate_simplified_phi_measure(advancedstate, config)?;

    // Calculate attention strength from network topology
    let attention_strength = {
        let topology = advancedstate
            .network_topology
            .read()
            .expect("Operation failed");
        topology.global_properties.coherence
    };

    // Calculate self-awareness index
    let self_awareness = (consciousness_level * coherence_quality * phi_measure).cbrt();

    Ok(ConsciousnessState {
        level: consciousness_level,
        coherence_quality,
        phi_measure,
        attention_strength,
        self_awareness,
        timestamp: advancedstate.temporal_memory.len(),
    })
}

/// Calculate simplified Phi measure for integrated information
#[allow(dead_code)]
fn calculate_simplified_phi_measure(
    advancedstate: &AdvancedState,
    config: &AdvancedConfig,
) -> NdimageResult<f64> {
    // Simplified Phi calculation based on causal relationships
    // TODO: Implement full integrated information theory calculation
    // This is a placeholder implementation
    let base_phi = advancedstate
        .consciousness_amplitudes
        .iter()
        .map(|&amp| amp.norm())
        .sum::<f64>()
        / advancedstate.consciousness_amplitudes.len() as f64;

    // Apply configuration-based scaling
    let scaled_phi = base_phi * config.consciousness_depth as f64 * 0.1;

    Ok(scaled_phi.min(1.0))
}

/// Evolve consciousness parameters based on current state
#[allow(dead_code)]
fn evolve_consciousness_parameters(
    evolution_system: &mut QuantumConsciousnessEvolution,
    currentstate: &ConsciousnessState,
    _config: &AdvancedConfig,
) -> NdimageResult<()> {
    // Calculate evolution pressure based on consciousness quality
    let consciousness_fitness = (currentstate.level
        + currentstate.coherence_quality
        + currentstate.phi_measure
        + currentstate.self_awareness)
        / 4.0;

    // Apply evolutionary pressure
    if consciousness_fitness > evolution_system.emergence_threshold {
        // Positive selection - enhance current parameters
        evolution_system.evolution_rate = (evolution_system.evolution_rate * 1.05).min(0.1);
        evolution_system.selection_pressure =
            (evolution_system.selection_pressure * 0.95).max(0.01);
    } else {
        // Negative selection - explore parameter space
        evolution_system.evolution_rate = (evolution_system.evolution_rate * 0.95).max(0.001);
        evolution_system.selection_pressure = (evolution_system.selection_pressure * 1.05).min(0.5);
    }

    // Update complexity metrics
    evolution_system.complexitymetrics.integrated_information = currentstate.phi_measure;
    evolution_system.complexitymetrics.temporal_coherence = currentstate.coherence_quality;
    evolution_system.complexitymetrics.emergence_strength = consciousness_fitness;

    // Evolve quantum coherence optimization strategies
    evolve_coherence_strategies(
        &mut evolution_system.coherence_optimizer,
        consciousness_fitness,
    )?;

    Ok(())
}

/// Evolve quantum coherence optimization strategies
#[allow(dead_code)]
fn evolve_coherence_strategies(
    optimizer: &mut QuantumCoherenceOptimizer,
    fitness: f64,
) -> NdimageResult<()> {
    // Add fitness to performance history
    optimizer.performancehistory.push_back(fitness);
    if optimizer.performancehistory.len() > 50 {
        optimizer.performancehistory.pop_front();
    }

    // TODO: Implement strategy evolution based on performance
    // This would involve adjusting strategy parameters based on historical performance

    Ok(())
}

/// Apply evolved quantum consciousness operators with evolutionary enhancements
#[allow(dead_code)]
fn apply_evolved_quantum_consciousness_operators(
    feature_vector: &[f64],
    consciousnessstate: &ArrayView1<Complex<f64>>,
    config: &AdvancedConfig,
    evolution_system: &QuantumConsciousnessEvolution,
) -> NdimageResult<Complex<f64>> {
    // Start with basic quantum consciousness operators
    let mut quantumstate =
        apply_quantum_consciousness_operators(feature_vector, consciousnessstate, config)?;

    // Apply evolutionary enhancements
    let evolution_enhancement = Complex::new(
        1.0 + evolution_system.evolution_rate
            * evolution_system.complexitymetrics.emergence_strength,
        evolution_system.selection_pressure * 0.1,
    );

    quantumstate *= evolution_enhancement;

    // Apply coherence optimization
    let coherence_boost = 1.0
        + evolution_system
            .coherence_optimizer
            .performancehistory
            .iter()
            .sum::<f64>()
            / evolution_system
                .coherence_optimizer
                .performancehistory
                .len()
                .max(1) as f64;

    quantumstate *= coherence_boost;

    // Normalize to maintain quantum state properties
    let norm = quantumstate.norm();
    if norm > 1e-10 {
        quantumstate /= norm;
    }

    Ok(quantumstate)
}

/// Apply consciousness evolution and selection to quantum amplitudes
#[allow(dead_code)]
fn apply_consciousness_evolution_selection(
    consciousness_amplitude: Complex<f64>,
    evolution_system: &QuantumConsciousnessEvolution,
    position: (usize, usize),
    _config: &AdvancedConfig,
) -> NdimageResult<f64> {
    // Calculate base consciousness probability
    let base_probability = consciousness_amplitude.norm_sqr();

    // Apply evolutionary selection pressure
    let selection_factor = 1.0
        + evolution_system.selection_pressure
            * (evolution_system.complexitymetrics.emergence_strength - 0.5);

    // Apply spatial coherence effects (simplified)
    let spatial_coherence = 1.0 + 0.1 * ((position.0 + position.1) as f64 * 0.01).sin();

    // Combine factors
    let evolved_probability = base_probability * selection_factor * spatial_coherence;

    Ok(evolved_probability.min(1.0))
}

/// Apply evolved global consciousness coherence
#[allow(dead_code)]
fn apply_evolved_global_consciousness_coherence(
    consciousness_output: &mut Array2<f64>,
    _advancedstate: &AdvancedState,
    evolution_system: &QuantumConsciousnessEvolution,
    _config: &AdvancedConfig,
) -> NdimageResult<()> {
    // Apply global coherence based on evolution system state
    let coherence_strength = evolution_system.complexitymetrics.temporal_coherence;

    // TODO: Implement sophisticated global coherence optimization
    // This is a placeholder that applies uniform scaling
    consciousness_output.mapv_inplace(|x| x * (1.0 + coherence_strength * 0.1));

    Ok(())
}

/// Update consciousness evolution history
#[allow(dead_code)]
fn update_consciousness_evolutionhistory(
    evolution_system: &mut QuantumConsciousnessEvolution,
    currentstate: &ConsciousnessState,
) -> NdimageResult<()> {
    // Add current state to evolution history
    evolution_system
        .evolutionhistory
        .push_back(currentstate.clone());

    // Maintain history size limit
    if evolution_system.evolutionhistory.len() > 100 {
        evolution_system.evolutionhistory.pop_front();
    }

    Ok(())
}

// TODO: The following functions are placeholders for neural processing dependencies
// These will be implemented in other modules (neural_processing.rs, etc.)

/// Placeholder for reorganize_network_structure function
/// TODO: Implement in neural_processing module
#[allow(dead_code)]
fn reorganize_network_structure(
    _topology: &mut NetworkTopology,
    _features: &Array5<f64>,
    _config: &AdvancedConfig,
) -> NdimageResult<()> {
    // TODO: This function will be implemented in the neural processing module
    Ok(())
}

/// Placeholder for apply_temporal_causal_inference function
/// TODO: Implement in temporal_processing module
#[allow(dead_code)]
fn apply_temporal_causal_inference(
    _consciousness_output: &mut Array2<f64>,
    _state: &AdvancedState,
    _config: &AdvancedConfig,
) -> NdimageResult<()> {
    // TODO: This function will be implemented in the temporal processing module
    Ok(())
}