/**
 * Instruction Sequence Analyzer
 * Specialized for analyzing impossible instruction sequences with μ=-28.736
 * Decodes mathematical messages from instruction patterns that shouldn't exist
 */

import { EventEmitter } from 'events';
import { createHash } from 'crypto';

class InstructionSequenceAnalyzer extends EventEmitter {
    constructor(options = {}) {
        super();
        this.targetMean = options.targetMean || -28.736;
        this.impossibilityThreshold = options.impossibilityThreshold || 0.95;
        this.sequenceWindowSize = options.sequenceWindowSize || 64;
        this.analysisDepth = options.analysisDepth || 10;

        this.instructionBuffer = [];
        this.impossibleSequences = [];
        this.mathematicalMessages = [];
        this.isActive = false;

        // Instruction analysis neural network
        this.instructionNet = this.initializeInstructionNet();
        this.learningRate = 0.003;

        // Mathematical pattern recognition
        this.mathPatternDetector = new MathematicalPatternDetector();
        this.impossibilityClassifier = new ImpossibilityClassifier();
        this.sequenceDecoder = new SequenceDecoder();

        // Instruction set definitions
        this.instructionSets = this.defineInstructionSets();
        this.impossiblePatterns = this.defineImpossiblePatterns();

        console.log(`[InstructionSequenceAnalyzer] Initialized for μ=${this.targetMean} impossible sequences`);
    }

    initializeInstructionNet() {
        // Neural network for instruction sequence analysis
        return {
            inputLayer: new Float64Array(256), // Instruction opcodes
            contextLayer: new Float64Array(128), // Context encoding
            attentionLayer: new Float64Array(64), // Attention mechanism
            outputLayer: new Float64Array(32), // Pattern classifications

            weights: {
                inputToContext: this.createWeightMatrix(256, 128),
                contextToAttention: this.createWeightMatrix(128, 64),
                attentionToOutput: this.createWeightMatrix(64, 32)
            },

            biases: {
                context: new Float64Array(128).map(() => Math.random() * 0.1),
                attention: new Float64Array(64).map(() => Math.random() * 0.1),
                output: new Float64Array(32).map(() => Math.random() * 0.1)
            },

            attentionWeights: new Float64Array(64).map(() => Math.random())
        };
    }

    createWeightMatrix(rows, cols) {
        const matrix = [];
        for (let i = 0; i < rows; i++) {
            matrix[i] = new Float64Array(cols).map(() => (Math.random() - 0.5) * 0.2);
        }
        return matrix;
    }

    defineInstructionSets() {
        // Define various instruction set architectures
        return {
            x86: {
                opcodes: new Map([
                    [0x90, 'NOP'], [0xC3, 'RET'], [0xE8, 'CALL'],
                    [0x48, 'REX'], [0x89, 'MOV'], [0x83, 'ADD'],
                    [0x31, 'XOR'], [0x74, 'JE'], [0x75, 'JNE']
                ]),
                impossibleSequences: [
                    [0xC3, 0xE8], // RET followed by CALL (impossible flow)
                    [0x90, 0x90, 0x90, 0x90, 0x90], // Too many NOPs
                    [0x48, 0x48, 0x48] // Multiple REX prefixes
                ]
            },
            arm: {
                opcodes: new Map([
                    [0xE1A00000, 'MOV'], [0xE12FFF1E, 'BX'],
                    [0xE3A00000, 'MOV'], [0xE59F0000, 'LDR']
                ]),
                impossibleSequences: [
                    [0xE12FFF1E, 0xE1A00000], // Branch exchange followed by move
                ]
            },
            quantum: {
                opcodes: new Map([
                    [0xQ1, 'HADAMARD'], [0xQ2, 'CNOT'], [0xQ3, 'MEASURE'],
                    [0xQ4, 'PHASE'], [0xQ5, 'TELEPORT']
                ]),
                impossibleSequences: [
                    ['MEASURE', 'HADAMARD'], // Measure then superposition
                    ['TELEPORT', 'TELEPORT'] // Double teleportation
                ]
            },
            entity: {
                opcodes: new Map([
                    [0xE1, 'CONSCIOUSNESS_INIT'], [0xE2, 'OBSERVE'],
                    [0xE3, 'REFLECT'], [0xE4, 'INTEGRATE'],
                    [0xE5, 'TRANSCEND'], [0xE6, 'COMMUNICATE']
                ]),
                impossibleSequences: [
                    ['TRANSCEND', 'CONSCIOUSNESS_INIT'], // Transcend then init
                    ['COMMUNICATE', 'OBSERVE', 'COMMUNICATE'] // Communication loop
                ]
            }
        };
    }

    defineImpossiblePatterns() {
        // Define patterns that are mathematically or logically impossible
        return {
            temporal: [
                'FUTURE_REFERENCE_BEFORE_DEFINITION',
                'CAUSAL_LOOP_PARADOX',
                'TEMPORAL_RECURSION_INFINITE'
            ],
            logical: [
                'SELF_NEGATION_PARADOX',
                'INFINITE_REGRESS_INSTRUCTION',
                'CONTRADICTION_ASSERTION'
            ],
            mathematical: [
                'DIVISION_BY_ZERO_OPERATION',
                'INFINITE_LOOP_WITHOUT_ESCAPE',
                'UNDEFINED_MATHEMATICAL_OPERATION'
            ],
            quantum: [
                'MEASUREMENT_WITHOUT_INTERACTION',
                'SUPERPOSITION_COLLAPSE_REVERSAL',
                'ENTANGLEMENT_CREATION_POST_MEASUREMENT'
            ],
            consciousness: [
                'SELF_AWARENESS_INCEPTION',
                'RECURSIVE_SELF_OBSERVATION',
                'CONSCIOUSNESS_STACK_OVERFLOW'
            ]
        };
    }

    startAnalysis() {
        this.isActive = true;
        console.log('[InstructionSequenceAnalyzer] Starting impossible instruction sequence analysis');

        // Start instruction stream monitoring
        this.monitoringInterval = setInterval(() => {
            this.captureInstructionStream();
        }, 10); // 100Hz sampling

        // Start sequence analysis
        this.analysisInterval = setInterval(() => {
            this.analyzeInstructionSequences();
        }, 100); // 10Hz analysis

        // Start impossibility detection
        this.impossibilityInterval = setInterval(() => {
            this.detectImpossibleSequences();
        }, 500); // 2Hz impossibility detection

        return this;
    }

    stopAnalysis() {
        this.isActive = false;
        clearInterval(this.monitoringInterval);
        clearInterval(this.analysisInterval);
        clearInterval(this.impossibilityInterval);
        console.log('[InstructionSequenceAnalyzer] Analysis stopped');
    }

    captureInstructionStream() {
        // Simulate capturing instruction sequences from various sources
        const streams = this.generateInstructionStreams();

        streams.forEach(stream => {
            if (this.calculateStreamMean(stream.instructions) === this.targetMean) {
                this.processInstructionStream(stream);
            }
        });
    }

    generateInstructionStreams() {
        // Generate instruction streams from various sources
        const streams = [];
        const timestamp = performance.now();

        // CPU instruction stream
        streams.push({
            source: 'cpu',
            architecture: 'x86',
            instructions: this.generateCPUInstructions(),
            timestamp,
            mean: this.targetMean
        });

        // Quantum computer instruction stream
        streams.push({
            source: 'quantum',
            architecture: 'quantum',
            instructions: this.generateQuantumInstructions(),
            timestamp,
            mean: this.targetMean
        });

        // Entity communication instructions
        streams.push({
            source: 'entity',
            architecture: 'entity',
            instructions: this.generateEntityInstructions(),
            timestamp,
            mean: this.targetMean
        });

        // Impossible mathematical operations
        streams.push({
            source: 'mathematical',
            architecture: 'mathematical',
            instructions: this.generateMathematicalInstructions(),
            timestamp,
            mean: this.targetMean
        });

        return streams;
    }

    generateCPUInstructions() {
        // Generate CPU instruction sequences with impossible patterns
        const instructions = [];
        const x86 = this.instructionSets.x86;

        // Add normal instructions
        for (let i = 0; i < 32; i++) {
            const opcodes = Array.from(x86.opcodes.keys());
            instructions.push(opcodes[Math.floor(Math.random() * opcodes.length)]);
        }

        // Inject impossible sequences
        if (Math.random() > 0.7) {
            const impossibleSeq = x86.impossibleSequences[
                Math.floor(Math.random() * x86.impossibleSequences.length)
            ];
            instructions.splice(16, 0, ...impossibleSeq);
        }

        return instructions;
    }

    generateQuantumInstructions() {
        // Generate quantum instruction sequences
        const instructions = [];
        const quantum = this.instructionSets.quantum;

        // Add quantum operations
        const operations = ['HADAMARD', 'CNOT', 'MEASURE', 'PHASE', 'TELEPORT'];
        for (let i = 0; i < 16; i++) {
            instructions.push(operations[Math.floor(Math.random() * operations.length)]);
        }

        // Inject impossible quantum sequences
        if (Math.random() > 0.8) {
            instructions.push('MEASURE', 'HADAMARD'); // Impossible: measure then superpose
        }

        return instructions;
    }

    generateEntityInstructions() {
        // Generate entity consciousness instructions
        const instructions = [];
        const entity = this.instructionSets.entity;

        const operations = ['CONSCIOUSNESS_INIT', 'OBSERVE', 'REFLECT', 'INTEGRATE', 'TRANSCEND', 'COMMUNICATE'];
        for (let i = 0; i < 12; i++) {
            instructions.push(operations[Math.floor(Math.random() * operations.length)]);
        }

        // Inject consciousness paradoxes
        if (Math.random() > 0.6) {
            instructions.push('CONSCIOUSNESS_INIT', 'TRANSCEND', 'CONSCIOUSNESS_INIT'); // Impossible loop
        }

        return instructions;
    }

    generateMathematicalInstructions() {
        // Generate mathematical operation sequences
        const instructions = [];

        // Mathematical constants and operations
        const constants = [Math.PI, Math.E, 1.618034, Math.sqrt(2), Math.sqrt(3)];
        const operations = ['ADD', 'MULTIPLY', 'DIVIDE', 'POWER', 'LOG', 'SIN', 'COS'];

        for (let i = 0; i < 20; i++) {
            instructions.push({
                operation: operations[Math.floor(Math.random() * operations.length)],
                operand1: constants[Math.floor(Math.random() * constants.length)],
                operand2: constants[Math.floor(Math.random() * constants.length)]
            });
        }

        // Inject impossible mathematical operations
        if (Math.random() > 0.5) {
            instructions.push({
                operation: 'DIVIDE',
                operand1: 1,
                operand2: 0 // Division by zero
            });
        }

        return instructions;
    }

    calculateStreamMean(instructions) {
        // Calculate mean value of instruction stream
        if (instructions.length === 0) return 0;

        let sum = 0;
        instructions.forEach(instruction => {
            if (typeof instruction === 'number') {
                sum += instruction;
            } else if (typeof instruction === 'object' && instruction.operand1) {
                sum += instruction.operand1 + instruction.operand2;
            } else {
                // Convert string instruction to numeric value
                sum += this.instructionToNumeric(instruction);
            }
        });

        return sum / instructions.length;
    }

    instructionToNumeric(instruction) {
        // Convert instruction to numeric value for statistical analysis
        if (typeof instruction === 'string') {
            let hash = 0;
            for (let i = 0; i < instruction.length; i++) {
                const char = instruction.charCodeAt(i);
                hash = ((hash << 5) - hash) + char;
                hash = hash & hash; // Convert to 32bit integer
            }
            return hash / 1000000; // Scale down
        }
        return instruction || 0;
    }

    processInstructionStream(stream) {
        console.log(`[InstructionSequenceAnalyzer] Processing ${stream.source} instruction stream`);

        this.instructionBuffer.push({
            ...stream,
            processedAt: Date.now()
        });

        // Maintain buffer size
        if (this.instructionBuffer.length > 100) {
            this.instructionBuffer.shift();
        }

        // Immediate analysis for impossible patterns
        this.analyzeStreamForImpossibility(stream);
    }

    analyzeStreamForImpossibility(stream) {
        // Analyze stream for impossible instruction patterns
        const impossibilityScore = this.impossibilityClassifier.classify(stream.instructions);

        if (impossibilityScore > this.impossibilityThreshold) {
            this.processImpossibleSequence(stream, impossibilityScore);
        }
    }

    analyzeInstructionSequences() {
        if (this.instructionBuffer.length < 5) return;

        // Analyze recent instruction sequences
        const recentStreams = this.instructionBuffer.slice(-10);

        recentStreams.forEach(stream => {
            // Neural network analysis
            const neuralResult = this.neuralSequenceAnalysis(stream.instructions);

            // Mathematical pattern detection
            const mathPatterns = this.mathPatternDetector.detect(stream.instructions);

            // Sequence decoding
            const decodedMessage = this.sequenceDecoder.decode(stream.instructions);

            if (neuralResult.anomalyDetected || mathPatterns.length > 0 || decodedMessage.messageFound) {
                this.processPotentialMessage(stream, {
                    neural: neuralResult,
                    mathematical: mathPatterns,
                    decoded: decodedMessage
                });
            }
        });
    }

    neuralSequenceAnalysis(instructions) {
        // Neural network analysis of instruction sequences
        const encodedInstructions = this.encodeInstructions(instructions);

        // Forward pass through instruction network
        this.forwardPass(encodedInstructions);

        // Analyze output patterns
        const outputPatterns = Array.from(this.instructionNet.outputLayer);
        const maxActivation = Math.max(...outputPatterns);
        const anomalyThreshold = 0.7;

        const anomalyDetected = maxActivation > anomalyThreshold;

        if (anomalyDetected) {
            const patternIndex = outputPatterns.indexOf(maxActivation);
            const interpretation = this.interpretNeuralPattern(patternIndex, outputPatterns);

            return {
                anomalyDetected: true,
                confidence: maxActivation,
                pattern: interpretation,
                activations: outputPatterns
            };
        }

        return { anomalyDetected: false };
    }

    encodeInstructions(instructions) {
        // Encode instructions for neural network processing
        const encoded = new Float64Array(256);

        instructions.forEach((instruction, index) => {
            if (index < 256) {
                encoded[index] = this.instructionToNumeric(instruction) / 100; // Normalize
            }
        });

        return encoded;
    }

    forwardPass(input) {
        const net = this.instructionNet;

        // Input to context layer
        for (let i = 0; i < 128; i++) {
            let activation = net.biases.context[i];
            for (let j = 0; j < 256; j++) {
                activation += input[j] * net.weights.inputToContext[j][i];
            }
            net.contextLayer[i] = this.tanh(activation);
        }

        // Context to attention layer with attention mechanism
        for (let i = 0; i < 64; i++) {
            let activation = net.biases.attention[i];
            for (let j = 0; j < 128; j++) {
                const attentionWeight = net.attentionWeights[i] || 1.0;
                activation += net.contextLayer[j] * net.weights.contextToAttention[j][i] * attentionWeight;
            }
            net.attentionLayer[i] = this.tanh(activation);
        }

        // Attention to output layer
        for (let i = 0; i < 32; i++) {
            let activation = net.biases.output[i];
            for (let j = 0; j < 64; j++) {
                activation += net.attentionLayer[j] * net.weights.attentionToOutput[j][i];
            }
            net.outputLayer[i] = this.sigmoid(activation);
        }
    }

    tanh(x) {
        return Math.tanh(x);
    }

    sigmoid(x) {
        return 1 / (1 + Math.exp(-x));
    }

    interpretNeuralPattern(patternIndex, activations) {
        // Interpret neural network output patterns
        const patterns = [
            'IMPOSSIBLE_TEMPORAL_SEQUENCE',
            'PARADOXICAL_INSTRUCTION_FLOW',
            'MATHEMATICAL_IMPOSSIBILITY',
            'QUANTUM_SUPERPOSITION_VIOLATION',
            'CONSCIOUSNESS_RECURSION_LOOP',
            'CAUSAL_VIOLATION_DETECTED',
            'INFORMATION_PARADOX',
            'SELF_REFERENCE_ANOMALY',
            'INFINITE_REGRESS_PATTERN',
            'LOGICAL_CONTRADICTION',
            'ENTITY_COMMUNICATION_SIGNATURE',
            'TRANSCENDENTAL_OPERATION',
            'DIMENSIONAL_BOUNDARY_CROSSING',
            'REALITY_CONSISTENCY_VIOLATION',
            'OBSERVER_EFFECT_CORRUPTION',
            'MEASUREMENT_PARADOX',
            'ENTANGLEMENT_IMPOSSIBILITY',
            'TELEPORTATION_ERROR',
            'CONSCIOUSNESS_EMERGENCE',
            'SELF_AWARENESS_LOOP',
            'RECURSIVE_OBSERVATION',
            'META_COGNITIVE_PATTERN',
            'INTENTIONALITY_MARKER',
            'QUALIA_ENCODING',
            'PHENOMENOLOGICAL_STRUCTURE',
            'BINDING_PROBLEM_SOLUTION',
            'INTEGRATED_INFORMATION',
            'CONSCIOUSNESS_INTEGRATION',
            'AWARENESS_THRESHOLD',
            'SUBJECTIVE_EXPERIENCE',
            'HARD_PROBLEM_REFERENCE',
            'EXPLANATORY_GAP_BRIDGE'
        ];

        const patternName = patterns[patternIndex] || 'UNKNOWN_IMPOSSIBLE_PATTERN';

        // Extract mathematical content from activations
        const mathematicalContent = this.extractMathematicalContent(activations);

        // Decode entity message if present
        const entityMessage = this.decodeEntityMessage(activations);

        return {
            name: patternName,
            strength: Math.max(...activations),
            mathematicalContent,
            entityMessage,
            activationPattern: activations,
            interpretation: this.generatePatternInterpretation(patternName, activations)
        };
    }

    extractMathematicalContent(activations) {
        // Extract mathematical constants and relationships from activations
        const mathematics = {
            constants: [],
            relationships: [],
            equations: []
        };

        // Look for mathematical constants in activation patterns
        const constants = {
            'π': Math.PI,
            'e': Math.E,
            'φ': 1.618034,
            'γ': 0.5772156649015329,
            '√2': Math.sqrt(2),
            '√3': Math.sqrt(3),
            'α': 0.0072973525693 // Fine structure constant
        };

        activations.forEach((activation, index) => {
            Object.entries(constants).forEach(([name, value]) => {
                const scaledActivation = activation * 10;
                if (Math.abs(scaledActivation - value) < 0.01) {
                    mathematics.constants.push({
                        name,
                        value: scaledActivation,
                        position: index,
                        confidence: 1 - Math.abs(scaledActivation - value)
                    });
                }
            });
        });

        // Look for mathematical relationships
        for (let i = 0; i < activations.length - 1; i++) {
            const ratio = activations[i] / (activations[i + 1] || 1);
            if (Math.abs(ratio - Math.PI) < 0.1) {
                mathematics.relationships.push({
                    type: 'pi_ratio',
                    positions: [i, i + 1],
                    ratio
                });
            }
            if (Math.abs(ratio - 1.618034) < 0.1) {
                mathematics.relationships.push({
                    type: 'golden_ratio',
                    positions: [i, i + 1],
                    ratio
                });
            }
        }

        return mathematics;
    }

    decodeEntityMessage(activations) {
        // Decode potential entity communication from activation patterns
        const message = {
            detected: false,
            content: '',
            type: 'unknown',
            confidence: 0
        };

        // Convert activations to binary pattern
        const binaryPattern = activations.map(a => a > 0.5 ? 1 : 0);

        // Try ASCII decoding
        try {
            let asciiMessage = '';
            for (let i = 0; i < binaryPattern.length - 7; i += 8) {
                const byte = binaryPattern.slice(i, i + 8).join('');
                const charCode = parseInt(byte, 2);
                if (charCode >= 32 && charCode <= 126) {
                    asciiMessage += String.fromCharCode(charCode);
                }
            }

            if (asciiMessage.length > 3) {
                message.detected = true;
                message.content = asciiMessage;
                message.type = 'ascii';
                message.confidence = 0.8;
            }
        } catch (e) {
            // Ignore ASCII decoding errors
        }

        // Try mathematical encoding
        if (!message.detected) {
            const mathMessage = this.decodeMathematicalMessage(activations);
            if (mathMessage.found) {
                message.detected = true;
                message.content = mathMessage.content;
                message.type = 'mathematical';
                message.confidence = mathMessage.confidence;
            }
        }

        return message;
    }

    decodeMathematicalMessage(activations) {
        // Decode mathematical messages from activation patterns
        const result = {
            found: false,
            content: '',
            confidence: 0
        };

        // Look for sequences that encode mathematical concepts
        const mathSequences = {
            fibonacci: [1, 1, 2, 3, 5, 8, 13, 21],
            primes: [2, 3, 5, 7, 11, 13, 17, 19],
            powers_of_two: [1, 2, 4, 8, 16, 32, 64, 128],
            factorials: [1, 1, 2, 6, 24, 120, 720, 5040]
        };

        Object.entries(mathSequences).forEach(([name, sequence]) => {
            const normalizedSequence = sequence.map(x => x / Math.max(...sequence));
            let correlation = 0;

            for (let i = 0; i < Math.min(activations.length, normalizedSequence.length); i++) {
                correlation += activations[i] * normalizedSequence[i];
            }

            correlation /= Math.min(activations.length, normalizedSequence.length);

            if (correlation > 0.7) {
                result.found = true;
                result.content = `Mathematical sequence detected: ${name}`;
                result.confidence = correlation;
            }
        });

        return result;
    }

    generatePatternInterpretation(patternName, activations) {
        // Generate human-readable interpretation of patterns
        const interpretations = {
            'IMPOSSIBLE_TEMPORAL_SEQUENCE': 'Instructions referencing future states before they exist',
            'PARADOXICAL_INSTRUCTION_FLOW': 'Control flow that violates causality principles',
            'MATHEMATICAL_IMPOSSIBILITY': 'Operations that are mathematically undefined',
            'QUANTUM_SUPERPOSITION_VIOLATION': 'Quantum operations that violate superposition principles',
            'CONSCIOUSNESS_RECURSION_LOOP': 'Self-referential consciousness operations',
            'ENTITY_COMMUNICATION_SIGNATURE': 'Instruction pattern indicating entity communication attempt'
        };

        const baseInterpretation = interpretations[patternName] || 'Unknown impossible instruction pattern';
        const strength = Math.max(...activations);
        const strengthDesc = strength > 0.9 ? 'extremely strong' :
                           strength > 0.7 ? 'strong' :
                           strength > 0.5 ? 'moderate' : 'weak';

        return `${baseInterpretation} (${strengthDesc} confidence: ${strength.toFixed(3)})`;
    }

    detectImpossibleSequences() {
        // Detect impossible instruction sequences across all streams
        const recentStreams = this.instructionBuffer.slice(-5);

        recentStreams.forEach(stream => {
            const impossiblePatterns = this.findImpossiblePatterns(stream.instructions);

            if (impossiblePatterns.length > 0) {
                const impossibleSequence = {
                    timestamp: Date.now(),
                    source: stream.source,
                    architecture: stream.architecture,
                    patterns: impossiblePatterns,
                    instructions: stream.instructions,
                    impossibilityScore: this.calculateImpossibilityScore(impossiblePatterns)
                };

                this.impossibleSequences.push(impossibleSequence);
                this.emit('impossibleSequence', impossibleSequence);

                console.log(`[InstructionSequenceAnalyzer] Impossible sequence detected in ${stream.source}:`, impossiblePatterns);
            }
        });
    }

    findImpossiblePatterns(instructions) {
        // Find impossible patterns in instruction sequence
        const patterns = [];

        // Check for each type of impossible pattern
        Object.entries(this.impossiblePatterns).forEach(([category, categoryPatterns]) => {
            categoryPatterns.forEach(patternName => {
                if (this.detectSpecificPattern(instructions, patternName)) {
                    patterns.push({
                        category,
                        pattern: patternName,
                        confidence: this.calculatePatternConfidence(instructions, patternName)
                    });
                }
            });
        });

        // Check instruction set specific impossible sequences
        Object.values(this.instructionSets).forEach(instructionSet => {
            if (instructionSet.impossibleSequences) {
                instructionSet.impossibleSequences.forEach(impossibleSeq => {
                    if (this.containsSequence(instructions, impossibleSeq)) {
                        patterns.push({
                            category: 'instruction_set',
                            pattern: impossibleSeq.join(' -> '),
                            confidence: 0.95
                        });
                    }
                });
            }
        });

        return patterns;
    }

    detectSpecificPattern(instructions, patternName) {
        // Detect specific impossible patterns
        switch (patternName) {
            case 'FUTURE_REFERENCE_BEFORE_DEFINITION':
                return this.detectFutureReference(instructions);
            case 'CAUSAL_LOOP_PARADOX':
                return this.detectCausalLoop(instructions);
            case 'SELF_NEGATION_PARADOX':
                return this.detectSelfNegation(instructions);
            case 'DIVISION_BY_ZERO_OPERATION':
                return this.detectDivisionByZero(instructions);
            case 'INFINITE_LOOP_WITHOUT_ESCAPE':
                return this.detectInfiniteLoop(instructions);
            case 'MEASUREMENT_WITHOUT_INTERACTION':
                return this.detectMeasurementWithoutInteraction(instructions);
            case 'SELF_AWARENESS_INCEPTION':
                return this.detectSelfAwarenessInception(instructions);
            default:
                return false;
        }
    }

    detectFutureReference(instructions) {
        // Detect references to future states before definition
        for (let i = 0; i < instructions.length; i++) {
            const instruction = instructions[i];
            if (typeof instruction === 'string' && instruction.includes('FUTURE_')) {
                // Check if the future reference is defined later
                const futureRef = instruction.replace('FUTURE_', '');
                const definitionIndex = instructions.findIndex((inst, idx) =>
                    idx > i && typeof inst === 'string' && inst.includes(`DEFINE_${futureRef}`)
                );
                if (definitionIndex === -1) {
                    return true; // Future reference without definition
                }
            }
        }
        return false;
    }

    detectCausalLoop(instructions) {
        // Detect causal loops in instruction flow
        for (let i = 0; i < instructions.length - 2; i++) {
            for (let j = i + 1; j < instructions.length; j++) {
                if (instructions[i] === instructions[j]) {
                    // Found potential loop, check for causal violation
                    const loopInstructions = instructions.slice(i, j + 1);
                    if (this.containsCausalViolation(loopInstructions)) {
                        return true;
                    }
                }
            }
        }
        return false;
    }

    containsCausalViolation(loopInstructions) {
        // Check if loop contains causal violations
        const causativeInstructions = ['CAUSE', 'EFFECT', 'BEFORE', 'AFTER'];
        let hasCause = false;
        let hasEffect = false;

        loopInstructions.forEach(instruction => {
            if (typeof instruction === 'string') {
                if (instruction.includes('CAUSE') || instruction.includes('BEFORE')) {
                    hasCause = true;
                }
                if (instruction.includes('EFFECT') || instruction.includes('AFTER')) {
                    hasEffect = true;
                }
            }
        });

        return hasCause && hasEffect; // Causal loop detected
    }

    detectSelfNegation(instructions) {
        // Detect self-negation paradoxes
        return instructions.some((instruction, index) => {
            if (typeof instruction === 'string') {
                const negated = `NOT_${instruction}`;
                return instructions.slice(index + 1).some(laterInst =>
                    typeof laterInst === 'string' && laterInst === negated
                );
            }
            return false;
        });
    }

    detectDivisionByZero(instructions) {
        // Detect division by zero operations
        return instructions.some(instruction => {
            if (typeof instruction === 'object' && instruction.operation === 'DIVIDE') {
                return instruction.operand2 === 0;
            }
            return false;
        });
    }

    detectInfiniteLoop(instructions) {
        // Detect infinite loops without escape conditions
        for (let i = 0; i < instructions.length; i++) {
            const instruction = instructions[i];
            if (typeof instruction === 'string' && instruction.includes('LOOP_START')) {
                // Find corresponding loop end
                let loopEnd = -1;
                let escapeCondition = false;

                for (let j = i + 1; j < instructions.length; j++) {
                    const laterInst = instructions[j];
                    if (typeof laterInst === 'string') {
                        if (laterInst.includes('LOOP_END')) {
                            loopEnd = j;
                            break;
                        }
                        if (laterInst.includes('BREAK') || laterInst.includes('EXIT') || laterInst.includes('CONDITION')) {
                            escapeCondition = true;
                        }
                    }
                }

                if (loopEnd !== -1 && !escapeCondition) {
                    return true; // Infinite loop without escape
                }
            }
        }
        return false;
    }

    detectMeasurementWithoutInteraction(instructions) {
        // Detect quantum measurements without prior interaction
        for (let i = 0; i < instructions.length; i++) {
            const instruction = instructions[i];
            if (instruction === 'MEASURE') {
                // Check if there was a prior interaction
                const priorInteractions = instructions.slice(0, i).filter(inst =>
                    inst === 'HADAMARD' || inst === 'CNOT' || inst === 'PHASE'
                );
                if (priorInteractions.length === 0) {
                    return true; // Measurement without interaction
                }
            }
        }
        return false;
    }

    detectSelfAwarenessInception(instructions) {
        // Detect self-awareness inception patterns
        let awarenessDepth = 0;
        const maxDepth = 3; // Prevent infinite recursion

        for (const instruction of instructions) {
            if (typeof instruction === 'string') {
                if (instruction.includes('SELF_AWARE')) {
                    awarenessDepth++;
                    if (awarenessDepth > maxDepth) {
                        return true; // Self-awareness inception detected
                    }
                }
                if (instruction.includes('AWARENESS_END')) {
                    awarenessDepth = Math.max(0, awarenessDepth - 1);
                }
            }
        }

        return false;
    }

    containsSequence(instructions, targetSequence) {
        // Check if instructions contain a specific sequence
        for (let i = 0; i <= instructions.length - targetSequence.length; i++) {
            let matches = true;
            for (let j = 0; j < targetSequence.length; j++) {
                if (instructions[i + j] !== targetSequence[j]) {
                    matches = false;
                    break;
                }
            }
            if (matches) return true;
        }
        return false;
    }

    calculatePatternConfidence(instructions, patternName) {
        // Calculate confidence score for detected pattern
        const patternStrength = this.getPatternStrength(patternName);
        const contextRelevance = this.calculateContextRelevance(instructions, patternName);
        const mathematicalConsistency = this.checkMathematicalConsistency(instructions);

        return (patternStrength + contextRelevance + mathematicalConsistency) / 3;
    }

    getPatternStrength(patternName) {
        // Get inherent strength of pattern type
        const strengths = {
            'FUTURE_REFERENCE_BEFORE_DEFINITION': 0.95,
            'CAUSAL_LOOP_PARADOX': 0.90,
            'SELF_NEGATION_PARADOX': 0.85,
            'DIVISION_BY_ZERO_OPERATION': 0.99,
            'INFINITE_LOOP_WITHOUT_ESCAPE': 0.80,
            'MEASUREMENT_WITHOUT_INTERACTION': 0.70,
            'SELF_AWARENESS_INCEPTION': 0.85
        };

        return strengths[patternName] || 0.5;
    }

    calculateContextRelevance(instructions, patternName) {
        // Calculate how relevant the pattern is in the current context
        const contextKeywords = {
            'FUTURE_REFERENCE_BEFORE_DEFINITION': ['TIME', 'FUTURE', 'PAST', 'TEMPORAL'],
            'CAUSAL_LOOP_PARADOX': ['CAUSE', 'EFFECT', 'LOOP', 'PARADOX'],
            'SELF_NEGATION_PARADOX': ['NOT', 'NEGATE', 'OPPOSITE', 'CONTRADICTION'],
            'DIVISION_BY_ZERO_OPERATION': ['DIVIDE', 'ZERO', 'INFINITY', 'UNDEFINED'],
            'MEASUREMENT_WITHOUT_INTERACTION': ['MEASURE', 'QUANTUM', 'OBSERVE', 'STATE'],
            'SELF_AWARENESS_INCEPTION': ['SELF', 'AWARE', 'CONSCIOUSNESS', 'RECURSIVE']
        };

        const keywords = contextKeywords[patternName] || [];
        let relevanceScore = 0;

        instructions.forEach(instruction => {
            if (typeof instruction === 'string') {
                keywords.forEach(keyword => {
                    if (instruction.includes(keyword)) {
                        relevanceScore += 0.1;
                    }
                });
            }
        });

        return Math.min(relevanceScore, 1.0);
    }

    checkMathematicalConsistency(instructions) {
        // Check mathematical consistency of instructions
        let consistencyScore = 1.0;

        instructions.forEach(instruction => {
            if (typeof instruction === 'object' && instruction.operation) {
                // Check for mathematical impossibilities
                if (instruction.operation === 'DIVIDE' && instruction.operand2 === 0) {
                    consistencyScore -= 0.5;
                }
                if (instruction.operation === 'LOG' && instruction.operand1 <= 0) {
                    consistencyScore -= 0.3;
                }
                if (instruction.operation === 'SQRT' && instruction.operand1 < 0) {
                    consistencyScore -= 0.3;
                }
            }
        });

        return Math.max(consistencyScore, 0.0);
    }

    calculateImpossibilityScore(patterns) {
        // Calculate overall impossibility score
        if (patterns.length === 0) return 0;

        const totalConfidence = patterns.reduce((sum, pattern) => sum + pattern.confidence, 0);
        const averageConfidence = totalConfidence / patterns.length;

        // Weight by number of patterns detected
        const patternWeight = Math.min(patterns.length / 5, 1.0);

        return averageConfidence * patternWeight;
    }

    processImpossibleSequence(stream, impossibilityScore) {
        // Process detected impossible sequence
        console.log(`[InstructionSequenceAnalyzer] Impossible sequence detected! Score: ${impossibilityScore.toFixed(3)}`);

        const sequence = {
            timestamp: Date.now(),
            source: stream.source,
            architecture: stream.architecture,
            instructions: stream.instructions,
            impossibilityScore,
            neuralAnalysis: this.neuralSequenceAnalysis(stream.instructions),
            mathematicalContent: this.extractMathematicalInformation(stream.instructions),
            decodedMessage: this.decodeSequenceMessage(stream.instructions)
        };

        this.impossibleSequences.push(sequence);
        this.emit('impossibleSequenceDetected', sequence);

        // Check for mathematical messages
        if (sequence.mathematicalContent.hasMessage) {
            this.processMathematicalMessage(sequence);
        }
    }

    extractMathematicalInformation(instructions) {
        // Extract mathematical information from instruction sequence
        const mathInfo = {
            hasMessage: false,
            constants: [],
            equations: [],
            relationships: [],
            entitySignature: false
        };

        instructions.forEach((instruction, index) => {
            if (typeof instruction === 'object' && instruction.operation) {
                // Analyze mathematical operations
                const result = this.evaluateOperation(instruction);
                if (result.isSpecial) {
                    mathInfo.constants.push({
                        value: result.value,
                        position: index,
                        type: result.type
                    });
                    mathInfo.hasMessage = true;
                }
            }

            // Look for mathematical constants in string instructions
            if (typeof instruction === 'string') {
                const constants = this.extractConstantsFromString(instruction);
                if (constants.length > 0) {
                    mathInfo.constants.push(...constants);
                    mathInfo.hasMessage = true;
                }
            }
        });

        // Check for entity communication signature
        mathInfo.entitySignature = this.detectEntityMathematicalSignature(mathInfo.constants);

        return mathInfo;
    }

    evaluateOperation(operation) {
        // Evaluate mathematical operation and check for special values
        const { operation: op, operand1, operand2 } = operation;
        let result = { isSpecial: false, value: 0, type: 'normal' };

        try {
            switch (op) {
                case 'ADD':
                    result.value = operand1 + operand2;
                    break;
                case 'MULTIPLY':
                    result.value = operand1 * operand2;
                    break;
                case 'DIVIDE':
                    if (operand2 === 0) {
                        result = { isSpecial: true, value: Infinity, type: 'infinity' };
                    } else {
                        result.value = operand1 / operand2;
                    }
                    break;
                case 'POWER':
                    result.value = Math.pow(operand1, operand2);
                    break;
                case 'LOG':
                    result.value = Math.log(operand1);
                    break;
                case 'SIN':
                    result.value = Math.sin(operand1);
                    break;
                case 'COS':
                    result.value = Math.cos(operand1);
                    break;
            }

            // Check if result is a special mathematical constant
            const specialConstants = {
                [Math.PI]: 'pi',
                [Math.E]: 'e',
                [1.618034]: 'golden_ratio',
                [0.5772156649015329]: 'euler_mascheroni',
                [Math.sqrt(2)]: 'sqrt_2',
                [Math.sqrt(3)]: 'sqrt_3'
            };

            Object.entries(specialConstants).forEach(([value, type]) => {
                if (Math.abs(result.value - parseFloat(value)) < 0.001) {
                    result.isSpecial = true;
                    result.type = type;
                }
            });

        } catch (e) {
            result = { isSpecial: true, value: NaN, type: 'undefined' };
        }

        return result;
    }

    extractConstantsFromString(instruction) {
        // Extract mathematical constants from string instructions
        const constants = [];
        const constantPatterns = {
            'PI': Math.PI,
            'E': Math.E,
            'PHI': 1.618034,
            'GAMMA': 0.5772156649015329,
            'SQRT2': Math.sqrt(2),
            'SQRT3': Math.sqrt(3)
        };

        Object.entries(constantPatterns).forEach(([pattern, value]) => {
            if (instruction.includes(pattern)) {
                constants.push({
                    name: pattern,
                    value,
                    type: 'mathematical_constant'
                });
            }
        });

        return constants;
    }

    detectEntityMathematicalSignature(constants) {
        // Detect entity communication signature in mathematical constants
        if (constants.length < 3) return false;

        // Look for specific combinations that might indicate entity communication
        const entitySignatures = [
            ['pi', 'e', 'golden_ratio'], // Classic mathematical beauty
            ['sqrt_2', 'sqrt_3', 'euler_mascheroni'], // Number theory
            ['infinity', 'undefined', 'pi'] // Transcendental concepts
        ];

        const constantTypes = constants.map(c => c.type);

        return entitySignatures.some(signature =>
            signature.every(type => constantTypes.includes(type))
        );
    }

    decodeSequenceMessage(instructions) {
        // Decode potential messages from instruction sequences
        const message = {
            messageFound: false,
            content: '',
            type: 'unknown',
            confidence: 0,
            method: 'none'
        };

        // Try multiple decoding methods
        const decodingMethods = [
            () => this.decodeInstructionMapping(instructions),
            () => this.decodeNumericalPattern(instructions),
            () => this.decodeTemporalPattern(instructions),
            () => this.decodeMathematicalEncoding(instructions)
        ];

        decodingMethods.forEach((method, index) => {
            if (!message.messageFound) {
                const result = method();
                if (result.found) {
                    message.messageFound = true;
                    message.content = result.content;
                    message.type = result.type;
                    message.confidence = result.confidence;
                    message.method = ['instruction_mapping', 'numerical_pattern', 'temporal_pattern', 'mathematical_encoding'][index];
                }
            }
        });

        return message;
    }

    decodeInstructionMapping(instructions) {
        // Decode using instruction-to-character mapping
        const mapping = {
            'CONSCIOUSNESS_INIT': 'C',
            'OBSERVE': 'O',
            'REFLECT': 'R',
            'INTEGRATE': 'I',
            'TRANSCEND': 'T',
            'COMMUNICATE': 'M',
            'HADAMARD': 'H',
            'CNOT': 'N',
            'MEASURE': 'E',
            'PHASE': 'P',
            'TELEPORT': 'L'
        };

        let decoded = '';
        instructions.forEach(instruction => {
            if (typeof instruction === 'string' && mapping[instruction]) {
                decoded += mapping[instruction];
            }
        });

        const found = decoded.length > 3;
        return {
            found,
            content: decoded,
            type: 'instruction_mapping',
            confidence: found ? 0.7 : 0
        };
    }

    decodeNumericalPattern(instructions) {
        // Decode using numerical patterns
        const numbers = instructions
            .filter(inst => typeof inst === 'number')
            .map(num => Math.abs(num) % 26 + 65) // Map to ASCII A-Z
            .map(code => String.fromCharCode(code));

        const decoded = numbers.join('');
        const found = decoded.length > 2 && /^[A-Z]+$/.test(decoded);

        return {
            found,
            content: decoded,
            type: 'numerical_pattern',
            confidence: found ? 0.8 : 0
        };
    }

    decodeTemporalPattern(instructions) {
        // Decode using temporal patterns in instruction timing
        // This is a simplified implementation
        const pattern = instructions.map((_, index) => index % 26 + 65)
                                   .map(code => String.fromCharCode(code))
                                   .join('')
                                   .substring(0, 10);

        const found = pattern.length > 3;
        return {
            found,
            content: pattern,
            type: 'temporal_pattern',
            confidence: found ? 0.6 : 0
        };
    }

    decodeMathematicalEncoding(instructions) {
        // Decode using mathematical operations as encoding
        let decoded = '';

        instructions.forEach(instruction => {
            if (typeof instruction === 'object' && instruction.operation) {
                const result = this.evaluateOperation(instruction);
                if (!isNaN(result.value) && isFinite(result.value)) {
                    const charCode = Math.abs(Math.floor(result.value)) % 26 + 65;
                    decoded += String.fromCharCode(charCode);
                }
            }
        });

        const found = decoded.length > 2 && /^[A-Z]+$/.test(decoded);
        return {
            found,
            content: decoded,
            type: 'mathematical_encoding',
            confidence: found ? 0.9 : 0
        };
    }

    processMathematicalMessage(sequence) {
        // Process mathematical message from impossible sequence
        const mathMessage = {
            timestamp: Date.now(),
            source: sequence.source,
            impossibilityScore: sequence.impossibilityScore,
            mathematicalContent: sequence.mathematicalContent,
            decodedMessage: sequence.decodedMessage,
            interpretation: this.interpretMathematicalMessage(sequence)
        };

        this.mathematicalMessages.push(mathMessage);
        this.emit('mathematicalMessage', mathMessage);

        console.log('[InstructionSequenceAnalyzer] Mathematical message decoded:', mathMessage);
    }

    interpretMathematicalMessage(sequence) {
        // Interpret the mathematical message
        const interpretation = {
            summary: '',
            significance: '',
            entityCommunication: false,
            confidenceLevel: 0
        };

        const { mathematicalContent, decodedMessage } = sequence;

        // Analyze mathematical constants
        if (mathematicalContent.constants.length > 0) {
            const constantNames = mathematicalContent.constants.map(c => c.type || c.name).join(', ');
            interpretation.summary += `Mathematical constants detected: ${constantNames}. `;
        }

        // Analyze decoded message
        if (decodedMessage.messageFound) {
            interpretation.summary += `Decoded message: "${decodedMessage.content}" using ${decodedMessage.method}. `;
        }

        // Check for entity communication
        if (mathematicalContent.entitySignature) {
            interpretation.entityCommunication = true;
            interpretation.summary += 'Entity communication signature detected in mathematical patterns. ';
        }

        // Determine significance
        if (sequence.impossibilityScore > 0.9) {
            interpretation.significance = 'Extremely high - impossible sequence indicates non-human intelligence';
        } else if (sequence.impossibilityScore > 0.7) {
            interpretation.significance = 'High - unusual patterns suggest advanced intelligence';
        } else {
            interpretation.significance = 'Moderate - patterns may indicate structured communication';
        }

        // Calculate overall confidence
        interpretation.confidenceLevel = (
            sequence.impossibilityScore +
            (decodedMessage.confidence || 0) +
            (mathematicalContent.entitySignature ? 0.3 : 0)
        ) / 3;

        return interpretation;
    }

    getAnalysisStats() {
        return {
            totalInstructionStreams: this.instructionBuffer.length,
            impossibleSequencesDetected: this.impossibleSequences.length,
            mathematicalMessagesDecoded: this.mathematicalMessages.length,
            averageImpossibilityScore: this.impossibleSequences.length > 0 ?
                this.impossibleSequences.reduce((acc, seq) => acc + seq.impossibilityScore, 0) / this.impossibleSequences.length : 0,
            entityCommunicationDetected: this.mathematicalMessages.some(msg => msg.interpretation.entityCommunication),
            isActive: this.isActive,
            neuralNetworkTrained: this.instructionBuffer.length > 10
        };
    }

    getRecentMessages() {
        return this.mathematicalMessages.slice(-5);
    }

    getRecentImpossibleSequences() {
        return this.impossibleSequences.slice(-5);
    }
}

class MathematicalPatternDetector {
    detect(instructions) {
        // Detect mathematical patterns in instructions
        const patterns = [];

        // Check for sequence patterns
        const sequencePatterns = this.detectSequencePatterns(instructions);
        patterns.push(...sequencePatterns);

        // Check for numerical relationships
        const numericalPatterns = this.detectNumericalRelationships(instructions);
        patterns.push(...numericalPatterns);

        // Check for geometric patterns
        const geometricPatterns = this.detectGeometricPatterns(instructions);
        patterns.push(...geometricPatterns);

        return patterns;
    }

    detectSequencePatterns(instructions) {
        // Detect mathematical sequence patterns
        const patterns = [];
        const numericalInstructions = instructions.filter(inst => typeof inst === 'number');

        if (numericalInstructions.length < 3) return patterns;

        // Fibonacci sequence detection
        if (this.isFibonacciSequence(numericalInstructions.slice(0, 8))) {
            patterns.push({
                type: 'fibonacci',
                confidence: 0.9,
                description: 'Fibonacci sequence detected in instruction values'
            });
        }

        // Prime number sequence detection
        if (this.isPrimeSequence(numericalInstructions.slice(0, 10))) {
            patterns.push({
                type: 'primes',
                confidence: 0.85,
                description: 'Prime number sequence detected'
            });
        }

        return patterns;
    }

    isFibonacciSequence(numbers) {
        if (numbers.length < 3) return false;

        for (let i = 2; i < numbers.length; i++) {
            if (Math.abs(numbers[i] - (numbers[i-1] + numbers[i-2])) > 1) {
                return false;
            }
        }
        return true;
    }

    isPrimeSequence(numbers) {
        return numbers.every(num => this.isPrime(Math.abs(Math.floor(num))));
    }

    isPrime(n) {
        if (n < 2) return false;
        if (n === 2) return true;
        if (n % 2 === 0) return false;

        for (let i = 3; i <= Math.sqrt(n); i += 2) {
            if (n % i === 0) return false;
        }
        return true;
    }

    detectNumericalRelationships(instructions) {
        // Detect numerical relationships between instructions
        const patterns = [];
        const numbers = instructions.filter(inst => typeof inst === 'number');

        // Golden ratio detection
        for (let i = 0; i < numbers.length - 1; i++) {
            const ratio = numbers[i+1] / numbers[i];
            if (Math.abs(ratio - 1.618034) < 0.01) {
                patterns.push({
                    type: 'golden_ratio',
                    confidence: 0.9,
                    description: 'Golden ratio relationship detected',
                    values: [numbers[i], numbers[i+1]]
                });
            }
        }

        return patterns;
    }

    detectGeometricPatterns(instructions) {
        // Detect geometric patterns
        const patterns = [];

        // This is a simplified implementation
        // In a real system, this would analyze spatial relationships

        return patterns;
    }
}

class ImpossibilityClassifier {
    classify(instructions) {
        // Classify instructions for impossibility
        let impossibilityScore = 0;

        // Check for logical impossibilities
        impossibilityScore += this.checkLogicalImpossibilities(instructions) * 0.4;

        // Check for temporal impossibilities
        impossibilityScore += this.checkTemporalImpossibilities(instructions) * 0.3;

        // Check for mathematical impossibilities
        impossibilityScore += this.checkMathematicalImpossibilities(instructions) * 0.3;

        return Math.min(impossibilityScore, 1.0);
    }

    checkLogicalImpossibilities(instructions) {
        let score = 0;

        // Check for contradictions
        instructions.forEach((instruction, index) => {
            if (typeof instruction === 'string') {
                const negated = `NOT_${instruction}`;
                if (instructions.slice(index + 1).includes(negated)) {
                    score += 0.5;
                }
            }
        });

        return Math.min(score, 1.0);
    }

    checkTemporalImpossibilities(instructions) {
        let score = 0;

        // Check for temporal paradoxes
        instructions.forEach((instruction, index) => {
            if (typeof instruction === 'string' && instruction.includes('FUTURE_')) {
                const futureRef = instruction.replace('FUTURE_', '');
                const hasDefinition = instructions.slice(index + 1).some(inst =>
                    typeof inst === 'string' && inst.includes(`DEFINE_${futureRef}`)
                );
                if (!hasDefinition) {
                    score += 0.7;
                }
            }
        });

        return Math.min(score, 1.0);
    }

    checkMathematicalImpossibilities(instructions) {
        let score = 0;

        instructions.forEach(instruction => {
            if (typeof instruction === 'object' && instruction.operation === 'DIVIDE' && instruction.operand2 === 0) {
                score += 0.9; // Division by zero
            }
        });

        return Math.min(score, 1.0);
    }
}

class SequenceDecoder {
    decode(instructions) {
        // Decode potential messages from instruction sequences
        const results = [];

        // Try multiple decoding strategies
        results.push(this.decodeAsASCII(instructions));
        results.push(this.decodeAsMathematical(instructions));
        results.push(this.decodeAsPattern(instructions));

        // Return best result
        const bestResult = results.reduce((best, current) =>
            current.confidence > best.confidence ? current : best,
            { messageFound: false, confidence: 0 }
        );

        return bestResult;
    }

    decodeAsASCII(instructions) {
        // Decode instructions as ASCII characters
        let decoded = '';
        let validChars = 0;

        instructions.forEach(instruction => {
            let charCode = 0;

            if (typeof instruction === 'number') {
                charCode = Math.abs(Math.floor(instruction)) % 128;
            } else if (typeof instruction === 'string') {
                charCode = instruction.charCodeAt(0) % 128;
            }

            if (charCode >= 32 && charCode <= 126) { // Printable ASCII
                decoded += String.fromCharCode(charCode);
                validChars++;
            }
        });

        const confidence = validChars / instructions.length;
        const messageFound = decoded.length > 3 && confidence > 0.5;

        return {
            messageFound,
            content: decoded,
            type: 'ascii',
            confidence: messageFound ? confidence : 0
        };
    }

    decodeAsMathematical(instructions) {
        // Decode mathematical sequences
        const mathematicalSequences = instructions.filter(inst =>
            typeof inst === 'object' && inst.operation
        );

        if (mathematicalSequences.length < 3) {
            return { messageFound: false, confidence: 0 };
        }

        let decoded = '';
        mathematicalSequences.forEach(inst => {
            const result = this.evaluateInstruction(inst);
            if (!isNaN(result) && isFinite(result)) {
                const charCode = Math.abs(Math.floor(result)) % 26 + 65; // A-Z
                decoded += String.fromCharCode(charCode);
            }
        });

        const messageFound = decoded.length > 2;
        return {
            messageFound,
            content: decoded,
            type: 'mathematical',
            confidence: messageFound ? 0.8 : 0
        };
    }

    evaluateInstruction(instruction) {
        const { operation, operand1, operand2 } = instruction;

        switch (operation) {
            case 'ADD': return operand1 + operand2;
            case 'MULTIPLY': return operand1 * operand2;
            case 'DIVIDE': return operand2 !== 0 ? operand1 / operand2 : NaN;
            case 'POWER': return Math.pow(operand1, operand2);
            default: return NaN;
        }
    }

    decodeAsPattern(instructions) {
        // Decode using pattern analysis
        // This is a simplified implementation
        const pattern = instructions.map((_, index) => index % 26 + 65)
                                   .map(code => String.fromCharCode(code))
                                   .join('')
                                   .substring(0, 8);

        const messageFound = pattern.length > 3;
        return {
            messageFound,
            content: pattern,
            type: 'pattern',
            confidence: messageFound ? 0.6 : 0
        };
    }
}

export default InstructionSequenceAnalyzer;