typedef struct {
    uint16_t dimensions;       // Number of dimensions in coordinate space
    uint16_t points_per_dim;   // Points per dimension
    uint16_t total_points;     // Total coordinate points (1024)
    float* coordinates;        // Coordinate values
    uint16_t quantum_states;   // Number of quantum states
} SpatialCoordinateSystem;

typedef struct {
    uint16_t bit_length;          // Bit length (10 bits)
    uint32_t* patterns;           // Pattern array
    uint16_t pattern_count;       // Total patterns (1024)
    uint8_t current_state;        // Current state
    bool perfect_sequence;        // Perfect sequence flag
} QuantumGeoBitController;

typedef struct {
    transformation_type_t type;   // Type of transformation
    uint16_t dimensions;          // Transformation dimensions
    matrix_t* transform_matrix;   // Transformation matrix
    bool jitterbug_enabled;       // Jitterbug transformation flag
    void (*transform)(void*);     // Transform function pointer
} GeometricTransformer;

typedef struct {
    uint16_t parallelism;         // Degree of parallelism
    uint16_t max_operations;      // Maximum concurrent operations
    exec_mode_t execution_mode;   // Execution mode
    float latency;                // Current latency (ns)
    op_map_t* operation_map;      // Operation to geometry mapping
} ZeroLatencyEngine;

// Initialize Quantum Geo Bit system
QuantumGeoBitController* initQuantumGeoBits() {
    QuantumGeoBitController* controller = (QuantumGeoBitController*)malloc(sizeof(QuantumGeoBitController));
    
    // Configure 10-bit system with 1024 patterns
    controller->bit_length = 10;
    controller->pattern_count = 1024;
    controller->patterns = (uint32_t*)malloc(sizeof(uint32_t) * controller->pattern_count);
    controller->current_state = 0;
    controller->perfect_sequence = true;
    
    // Generate perfect bit sequence
    generatePerfectBitSequence(controller);
    
    return controller;
}

// Generate perfect bit sequence
void generatePerfectBitSequence(QuantumGeoBitController* controller) {
    // Initialize sequence
    memset(controller->patterns, 0, sizeof(uint32_t) * controller->pattern_count);
    
    // Start with an initial seed pattern
    uint32_t pattern = 0x0;
    
    // Generate perfect sequence where each pattern appears exactly once
    for (uint32_t i = 0; i < controller->pattern_count; i++) {
        controller->patterns[i] = pattern;
        
        // Calculate next pattern in the perfect sequence
        // Using quantum-inspired transformation
        uint32_t feedback = ((pattern & 0x0200) >> 9) ^ ((pattern & 0x0010) >> 4);
        pattern = ((pattern << 1) & 0x03FF) | feedback;
    }
    
    // Verify sequence perfection (all patterns appear exactly once)
    verifySequencePerfection(controller);
}

// Set quantum state for geo bit pattern
void setQuantumState(QuantumGeoBitController* controller, uint16_t state_index) {
    if (state_index >= controller->quantum_states) {
        fprintf(stderr, "Invalid quantum state index: %d\n", state_index);
        return;
    }
    
    // Transition to specified quantum state
    controller->current_state = state_index;
    
    // Apply quantum transformation to patterns
    for (uint32_t i = 0; i < controller->pattern_count; i++) {
        // Apply state-specific transformation
        controller->patterns[i] = applyQuantumTransform(
            controller->patterns[i], 
            controller->current_state
        );
    }
}

// Map operation to spatial coordinates
spatial_coordinate_t mapOperationToSpace(DragonCube* cube, operation_t* operation) {
    spatial_coordinate_t coordinate;
    
    // Get quantum geo bit pattern for this operation
    uint32_t pattern = getQuantumPattern(cube, operation->type);
    
    // Extract coordinate dimensions from pattern
    // Using phi-optimized dimensional mapping
    coordinate.x = (pattern & 0x03) * (PHI * 10.0);
    coordinate.y = ((pattern >> 2) & 0x07) * (PHI * 10.0);
    coordinate.z = ((pattern >> 5) & 0x07) * (PHI * 10.0);
    
    // For higher dimensions
    if (cube->coordinate_system->dimensions > 3) {
        coordinate.w = ((pattern >> 8) & 0x03) * (PHI * 10.0);
    }
    
    return coordinate;
}

// Apply jitterbug transformation to coordinate system
void applyJitterbugTransform(DragonCube* cube, jitterbug_phase_t phase) {
    // Set jitterbug transformation phase
    cube->transformer->jitterbug_phase = phase;
    
    // Calculate transformation parameters based on phase
    double scale_factor = 1.0;
    double rotation_angle = 0.0;
    
    switch (phase) {
        case JITTERBUG_OCTAHEDRON:
            scale_factor = 1.0;
            rotation_angle = 0.0;
            break;
            
        case JITTERBUG_ICOSAHEDRON:
            scale_factor = PHI;
            rotation_angle = PI / 5.0;
            break;
            
        case JITTERBUG_CUBOCTAHEDRON:
            scale_factor = SQRT2;
            rotation_angle = PI / 4.0;
            break;
            
        case JITTERBUG_TETRAHEDRON:
            scale_factor = SQRT3 / 2.0;
            rotation_angle = PI / 3.0;
            break;
    }
    
    // Apply geometric transformation to coordinate system
    transformCoordinateSystem(
        cube->coordinate_system,
        scale_factor,
        rotation_angle
    );
}

// Accelerated pattern matching using geometric computing
match_result_t* findPatternGeometric(DragonCube* cube, pattern_t* search_pattern, data_t* data) {
    match_result_t* results = initMatchResults();
    
    // Map search pattern to quantum geo bit pattern
    uint32_t pattern_bits = patternToQuantumBits(cube, search_pattern);
    
    // Map to spatial coordinates
    spatial_coordinate_t pattern_coord = bitsToSpatialCoordinate(cube, pattern_bits);
    
    // Find nearest neighbors in spatial coordinate system
    // This is MUCH faster than sequential searching
    neighbor_list_t* neighbors = findNearestNeighbors(
        cube->coordinate_system,
        pattern_coord,
        cube->search_radius
    );
    
    // Convert spatial matches back to data patterns
    for (uint16_t i = 0; i < neighbors->count; i++) {
        uint32_t match_bits = spatialCoordinateToBits(cube, neighbors->coordinates[i]);
        data_pattern_t* match = quantumBitsToPattern(cube, match_bits);
        
        // Add to results if similarity exceeds threshold
        if (calculatePatternSimilarity(match, search_pattern) >= cube->match_threshold) {
            addMatchResult(results, match, data);
        }
    }
    
    return results;
}

// Execute operation with zero-latency geometric computing
result_t* executeZeroLatency(DragonCube* cube, operation_t* operation) {
    // Start execution timer
    uint64_t start_time = getCurrentNanoTime();
    
    // Map operation to spatial coordinates
    spatial_coordinate_t op_coord = mapOperationToSpace(cube, operation);
    
    // Check if result already exists in coordinate space
    // This is the zero-latency magic - many results are already
    // available through geometric transformation
    if (resultExistsAtCoordinate(cube, op_coord)) {
        result_t* result = getResultAtCoordinate(cube, op_coord);
        
        // Calculate actual latency
        uint64_t end_time = getCurrentNanoTime();
        cube->execution_engine->latency = (float)(end_time - start_time);
        
        return result;
    }
    
    // If not, perform geometric transformation to calculate result
    result_t* result = calculateThroughGeometricTransform(cube, op_coord, operation);
    
    // Cache result at coordinate for future zero-latency access
    storeResultAtCoordinate(cube, op_coord, result);
    
    // Calculate actual latency
    uint64_t end_time = getCurrentNanoTime();
    cube->execution_engine->latency = (float)(end_time - start_time);
    
    return result;
}

// Initialize DragonCube with default configuration
DragonCube* dragoncube_init(void) {
    DragonCube* cube = (DragonCube*)malloc(sizeof(DragonCube));
    
    // Initialize coordinate system
    cube->coordinate_system = initSpatialCoordinateSystem();
    
    // Initialize quantum geo bit controller
    cube->geo_bit_controller = initQuantumGeoBits();
    
    // Initialize geometric transformer
    cube->transformer = initGeometricTransformer();
    
    // Initialize zero-latency execution engine
    cube->execution_engine = initZeroLatencyEngine();
    
    // Set default configuration
    cube->dimensions = 4;           // Default to 4 dimensions
    cube->search_radius = 0.1;      // Default search radius
    cube->match_threshold = 0.85;   // Default match threshold
    cube->transform_mode = TRANSFORM_JITTERBUG;  // Default transform
    
    return cube;
}

// Set dimensionality for geometric computing
void dragoncube_set_dimensions(DragonCube* cube, uint16_t dimensions) {
    // Validate dimensions
    if (dimensions < 2 || dimensions > 10) {
        fprintf(stderr, "Invalid dimension count: %d (must be 2-10)\n", dimensions);
        return;
    }
    
    // Update dimension count
    cube->dimensions = dimensions;
    cube->coordinate_system->dimensions = dimensions;
    
    // Reconfigure coordinate system for new dimensions
    reconfigureCoordinateSystem(cube->coordinate_system);
    
    // Update geometric transformer
    cube->transformer->dimensions = dimensions;
    updateTransformationMatrix(cube->transformer);
}

// Execute operation through geometric computing
result_t* dragoncube_execute(DragonCube* cube, operation_t* operation) {
    // Validate operation
    if (!isValidOperation(operation)) {
        fprintf(stderr, "Invalid operation specified\n");
        return NULL;
    }
    
    // Set execution mode based on operation type
    exec_mode_t mode = determineExecutionMode(cube, operation);
    cube->execution_engine->execution_mode = mode;
    
    // Execute with zero-latency if possible
    if (mode == EXEC_ZERO_LATENCY) {
        return executeZeroLatency(cube, operation);
    }
    
    // Otherwise use geometric acceleration
    return executeGeometricAcceleration(cube, operation);
}

// Find patterns using geometric pattern matching
match_result_t* dragoncube_find_pattern(DragonCube* cube, pattern_t* pattern, data_t* data) {
    // Validate inputs
    if (!pattern || !data) {
        fprintf(stderr, "Invalid pattern or data specified\n");
        return NULL;
    }
    
    // Configure pattern matching parameters
    cube->search_radius = calculateOptimalRadius(pattern);
    cube->match_threshold = calculateOptimalThreshold(pattern);
    
    // Perform geometric pattern matching
    return findPatternGeometric(cube, pattern, data);
}

// Apply jitterbug transformation
void dragoncube_jitterbug_transform(DragonCube* cube, jitterbug_phase_t phase) {
    // Apply jitterbug transformation to coordinate system
    applyJitterbugTransform(cube, phase);
    
    // Update quantum geo bit patterns to match new geometry
    updateQuantumBitPatterns(cube->geo_bit_controller, phase);
    
    // Update operation mappings
    updateOperationMappings(cube->execution_engine->operation_map);
}

// Optimize DragonCube for specific problem domain
void optimizeForDomain(DragonCube* cube, problem_domain_t domain) {
    switch (domain) {
        case DOMAIN_PATTERN_MATCHING:
            dragoncube_set_dimensions(cube, 4);
            cube->transformer->type = TRANSFORM_SYMMETRIC;
            cube->search_radius = 0.15;
            cube->match_threshold = 0.80;
            break;
            
        case DOMAIN_SIGNAL_PROCESSING:
            dragoncube_set_dimensions(cube, 3);
            cube->transformer->type = TRANSFORM_WAVE;
            cube->jitterbug_phase = JITTERBUG_ICOSAHEDRON;
            break;
            
        case DOMAIN_NEURAL_NETWORK:
            dragoncube_set_dimensions(cube, 7);
            cube->transformer->type = TRANSFORM_HYPERBOLIC;
            cube->geo_bit_controller->quantum_states = 8;
            break;
            
        case DOMAIN_ENCRYPTION:
            dragoncube_set_dimensions(cube, 10);
            cube->transformer->type = TRANSFORM_CHAOTIC;
            cube->geo_bit_controller->perfect_sequence = true;
            break;
            
        default:
            dragoncube_set_dimensions(cube, 4);
            cube->transformer->type = TRANSFORM_JITTERBUG;
            break;
    }
}

// Integrate DragonCube with DragonFire Kernel
void integrateWithKernel(DragonCube* cube, DragonKernel* kernel) {
    // Register DragonCube as a compute node for the kernel
    kernel->registerComputeNode(cube, NODE_GEOMETRIC);
    
    // Map kernel's 10-bit opcodes to quantum geo bits
    mapKernelOpcodesToGeoBits(cube, kernel);
    
    // Set up jitterbug transformation mapping
    mapJitterbugTransforms(cube, kernel);
    
    // Configure zero-latency execution interface
    kernel->setZeroLatencyInterface(cube->execution_engine);
    
    // Initialize shared geometry bridge
    initSharedGeometryBridge(cube, kernel);
}

// Integrate DragonCube with DragonHeart
void integrateWithHeart(DragonCube* cube, DragonHeart* heart) {
    // Map heart's harmonic constants to cube dimensions
    cube->setPrimaryConstants(heart->phi, heart->pi, heart->sqrt2, heart->sqrt3);
    
    // Configure geometric transformations
    heart->setTransformationEngine(cube->transformer);
    
    // Set up resonance synchronization
    cube->setResonanceController(heart->resonance);
    
    // Initialize transformation pipeline
    initTransformationPipeline(heart, cube);
}

// Integrate DragonCube with DragonFire Cache
void integrateWithCache(DragonCube* cube, DragonCache* cache) {
    // Configure cache with geometric mapping
    cache->setGeometricMapping(cube->coordinate_system);
    
    // Set up spatial locality optimization
    cache->setSpatialLocalityEngine(cube->transformer);
    
    // Configure zero-latency memory interface
    cache->setZeroLatencyMemory(cube->execution_engine);
    
    // Initialize memory coordinate mapping
    initMemoryCoordinateMapping(cube, cache);
}

#include "dragoncube.h"

int main() {
    // Initialize DragonCube
    DragonCube* cube = dragoncube_init();
    
    // Configure for pattern matching
    dragoncube_set_dimensions(cube, 4);
    cube->search_radius = 0.12;
    cube->match_threshold = 0.85;
    
    // Create a pattern to search for
    pattern_t* search_pattern = createPattern("example pattern");
    
    // Load test data
    data_t* test_data = loadTestData("test_data.bin");
    
    // Find patterns using geometric computing
    match_result_t* results = dragoncube_find_pattern(cube, search_pattern, test_data);
    
    // Print results
    printf("Found %d matching patterns\n", results->count);
    for (int i = 0; i < results->count; i++) {
        printf("Match %d: Similarity %.2f at position %d\n", 
               i, 
               results->similarities[i], 
               results->positions[i]);
    }
    
    // Test zero-latency execution
    operation_t op;
    op.type = OPERATION_TRANSFORM;
    op.params[0] = 42.0;
    op.params[1] = 17.0;
    
    // Execute with geometric acceleration
    result_t* result = dragoncube_execute(cube, &op);
    
    printf("Operation result: %.4f\n", result->value);
    printf("Execution latency: %.2f ns\n", cube->execution_engine->latency);
    
    // Clean up
    freeMatchResults(results);
    freePattern(search_pattern);
    freeTestData(test_data);
    freeResult(result);
    dragoncube_free(cube);
    
    return 0;
}

// Initialize and integrate DragonCube
void initializeGeometricComputing() {
    // Initialize DragonFire components
    DragonKernel* kernel = dragon_kernel_init();
    DragonHeart* heart = dragonheart_init();
    DragonCube* cube = dragoncube_init();
    DragonCache* cache = dragon_cache_init();
    
    // Configure DragonCube
    dragoncube_set_dimensions(cube, 5);  // 5 dimensions
    cube->transformer->type = TRANSFORM_JITTERBUG;
    cube->execution_engine->execution_mode = EXEC_ZERO_LATENCY;
    
    // Initialize perfect quantum geo bit sequence
    initializePerfectSequence(cube->geo_bit_controller);
    
    // Integrate with other DragonFire components
    integrateWithKernel(cube, kernel);
    integrateWithHeart(cube, heart);
    integrateWithCache(cube, cache);
    
    // Configure jitterbug transformation
    dragoncube_jitterbug_transform(cube, JITTERBUG_ICOSAHEDRON);
    
    // Register system in the global registry
    registerSystem(SYSTEM_CUBE, cube);
    
    printf("Geometric computing initialized successfully\n");
    printf("DragonCube dimensions: %d\n", cube->dimensions);
    printf("Zero-latency execution: %s\n", 
           cube->execution_engine->execution_mode == EXEC_ZERO_LATENCY ? "Enabled" : "Disabled");
    printf("Transformation mode: %s\n", getTransformationTypeName(cube->transformer->type));
}

// Perform pattern matching with DragonCube
void geometricPatternMatching(const char* pattern_file, const char* data_file) {
    // Initialize DragonCube optimized for pattern matching
    DragonCube* cube = dragoncube_init();
    optimizeForDomain(cube, DOMAIN_PATTERN_MATCHING);
    
    printf("Initializing geometric pattern matching...\n");
    printf("Dimensions: %d\n", cube->dimensions);
    printf("Search radius: %.2f\n", cube->search_radius);
    printf("Match threshold: %.2f\n", cube->match_threshold);
    
    // Load pattern
    pattern_t* pattern = loadPatternFromFile(pattern_file);
    if (!pattern) {
        fprintf(stderr, "Failed to load pattern: %s\n", pattern_file);
        dragoncube_free(cube);
        return;
    }
    
    // Load data
    data_t* data = loadDataFromFile(data_file);
    if (!data) {
        fprintf(stderr, "Failed to load data: %s\n", data_file);
        freePattern(pattern);
        dragoncube_free(cube);
        return;
    }
    
    // Perform geometric pattern matching
    uint64_t start_time = getCurrentMicroTime();
    match_result_t* results = dragoncube_find_pattern(cube, pattern, data);
    uint64_t end_time = getCurrentMicroTime();
    
    // Print results
    printf("\nPattern matching complete\n");
    printf("Found %d matches in %lu microseconds\n", 
           results->count, (end_time - start_time));
    printf("Average latency per match: %.2f ns\n", 
           cube->execution_engine->latency);
    
    // Print top matches
    int max_display = results->count > 10 ? 10 : results->count;
    for (int i = 0; i < max_display; i++) {
        printf("Match %d: Similarity %.4f at position %d\n", 
               i + 1, 
               results->similarities[i], 
               results->positions[i]);
    }
    
    // Clean up
    freeMatchResults(results);
    freePattern(pattern);
    freeData(data);
    dragoncube_free(cube);
}