Technical Documentation

# Base-3 Energy Calculation Algorithm
# Author: David (davestj)

def calculate_ternary_fission_output(atomic_mass, efficiency_factor=0.87):
    """
    Calculate energy output from ternary nuclear fission
    
    Args:
        atomic_mass: Mass of fissile material in kg
        efficiency_factor: Base-3 efficiency multiplier (default: 0.87)
    
    Returns:
        Energy output in terawatts
    """
    # Speed of light squared (m²/s²)
    c_squared = 8.98755178e16
    
    # Ternary split factor
    ternary_factor = 3
    
    # Calculate base energy release
    fragment_mass = atomic_mass / ternary_factor
    energy_per_fragment = fragment_mass * c_squared
    
    # Apply tri-phase cycling efficiency
    total_energy = energy_per_fragment * ternary_factor * efficiency_factor
    
    # Convert to terawatts
    return total_energy / 1e12

# Example: 1kg of thorium-232
thorium_output = calculate_ternary_fission_output(1.0)
print(f"Energy output: {thorium_output:.2f} TW")
                

// Base-8 Field Stability Calculator
// Author: David (davestj)

class Base8FieldStabilizer {
    constructor() {
        // I'm initializing the field parameters
        this.numLoops = 8;
        this.baseFieldStrength = 75; // Tesla
        this.loopRadius = 3.125; // meters
        this.permeability = 4 * Math.PI * 1e-7; // μ₀
    }
    
    calculateFieldAtPoint(x, y, z) {
        // Calculate magnetic field strength at given coordinates
        let totalField = { x: 0, y: 0, z: 0 };
        
        for (let i = 0; i < this.numLoops; i++) {
            const angle = (2 * Math.PI / this.numLoops) * i;
            const loopX = this.loopRadius * Math.cos(angle);
            const loopZ = this.loopRadius * Math.sin(angle);
            
            // Biot-Savart law calculation for each loop
            const distance = Math.sqrt(
                Math.pow(x - loopX, 2) + 
                Math.pow(y, 2) + 
                Math.pow(z - loopZ, 2)
            );
            
            // Field contribution from this loop
            const fieldMagnitude = (this.permeability * this.current) / 
                                 (2 * Math.PI * distance);
            
            // Add vector components
            totalField.x += fieldMagnitude * (x - loopX) / distance;
            totalField.y += fieldMagnitude * y / distance;
            totalField.z += fieldMagnitude * (z - loopZ) / distance;
        }
        
        return totalField;
    }
    
    checkStability(throatRadius) {
        // Verify wormhole throat stability
        const criticalField = 50; // Tesla minimum
        const centerField = this.calculateFieldAtPoint(0, 0, 0);
        const fieldMagnitude = Math.sqrt(
            centerField.x**2 + centerField.y**2 + centerField.z**2
        );
        
        return {
            isStable: fieldMagnitude > criticalField,
            fieldStrength: fieldMagnitude,
            safetyMargin: ((fieldMagnitude - criticalField) / criticalField) * 100
        };
    }
}

// Example usage
const stabilizer = new Base8FieldStabilizer();
const stability = stabilizer.checkStability(2.0);
console.log(`Wormhole stability: ${stability.isStable ? 'STABLE' : 'UNSTABLE'}`);
console.log(`Safety margin: ${stability.safetyMargin.toFixed(1)}%`);
                

# Base-5 Recursive Navigation System
# Author: David (davestj)

import numpy as np

class Base5Navigator:
    def __init__(self):
        # I'm setting up the navigation constants
        self.base = 5
        self.gravitational_constant = 6.67430e-11  # m³/kg·s²
        self.speed_of_light = 299792458  # m/s
        self.recursion_depth = 17  # Maximum precision levels
        
    def encode_coordinates(self, x, y, z, time_offset=0):
        """
        Encode 3D coordinates using Base-5 recursive system
        
        Args:
            x, y, z: Spatial coordinates in meters
            time_offset: Future time offset in seconds
            
        Returns:
            Encoded navigation string
        """
        # Apply gravitational drift correction
        drift_factor = (4 * self.gravitational_constant) / (self.speed_of_light ** 2)
        
        # Recursive encoding for each dimension
        encoded = []
        for coord in [x, y, z]:
            # Predict future position
            future_coord = coord + drift_factor * (time_offset * (self.base ** self.recursion_depth))
            
            # Convert to Base-5 representation
            base5_digits = []
            temp = abs(int(future_coord))
            
            while temp > 0:
                base5_digits.append(str(temp % self.base))
                temp //= self.base
                
            encoded.append(''.join(reversed(base5_digits)) or '0')
            
        return f"NAV5:{'-'.join(encoded)}:{time_offset}"
    
    def calculate_precision(self, distance, recursion_level):
        """
        Calculate navigation precision at given distance
        """
        # Each recursion level improves precision by factor of 5
        base_precision = distance / 1000  # Base precision in km
        precision = base_precision / (self.base ** recursion_level)
        
        return precision  # Returns precision in meters
    
    def plot_drift_trajectory(self, initial_pos, target_pos, time_range):
        """
        Calculate trajectory accounting for all gravitational influences
        """
        trajectory = []
        
        for t in time_range:
            # Apply Base-5 drift calculations
            drift_x = initial_pos[0] + self._calculate_drift(initial_pos[0], t)
            drift_y = initial_pos[1] + self._calculate_drift(initial_pos[1], t)
            drift_z = initial_pos[2] + self._calculate_drift(initial_pos[2], t)
            
            trajectory.append([drift_x, drift_y, drift_z])
            
        return np.array(trajectory)
    
    def _calculate_drift(self, position, time):
        """
        Internal method for drift calculation using Base-5 mathematics
        """
        drift = 0
        for n in range(self.recursion_depth):
            coefficient = 1 / (self.base ** n)
            drift += coefficient * np.sin(time * (self.base ** n))
            
        return position * drift * 0.0001  # Scaled drift factor

# Example: Navigate from Earth to Mars
navigator = Base5Navigator()

# Earth coordinates (simplified)
earth_pos = [1.496e11, 0, 0]  # 1 AU from Sun

# Mars coordinates (at opposition)
mars_pos = [2.279e11, 0, 0]  # 1.524 AU from Sun

# Encode navigation coordinates
nav_string = navigator.encode_coordinates(
    mars_pos[0] - earth_pos[0],
    mars_pos[1] - earth_pos[1], 
    mars_pos[2] - earth_pos[2],
    time_offset=0.8  # Travel time in seconds
)

print(f"Navigation code: {nav_string}")
print(f"Precision at Mars: {navigator.calculate_precision(7.83e10, 15):.3f} meters")
                

// Base-17 Temporal Navigation System
// Author: David (davestj)

class Base17TemporalNavigator {
    constructor() {
        // I'm initializing the temporal navigation parameters
        this.base = 17;
        this.dimensions = 17; // Tracking 17 dimensional parameters
        this.timelineRegistry = new Map();
        this.currentTimeline = this.generateTimelineId();
    }
    
    generateTimelineId() {
        // Generate unique timeline identifier in Base-17
        const timestamp = Date.now();
        const randomSeed = Math.random() * 1e17;
        const combined = Math.floor(timestamp * randomSeed);
        
        return this.toBase17(combined);
    }
    
    toBase17(decimal) {
        // Convert decimal to Base-17 representation
        const digits = '0123456789ABCDEFG';
        let result = '';
        
        while (decimal > 0) {
            result = digits[decimal % 17] + result;
            decimal = Math.floor(decimal / 17);
        }
        
        return result || '0';
    }
    
    calculateTemporalDrift(targetTime, currentTime, velocity) {
        // Apply Lorentzian transformation with Base-17 corrections
        const c = 299792458; // Speed of light
        const lorentzFactor = 1 / Math.sqrt(1 - (velocity * velocity) / (c * c));
        
        // Base time dilation
        let dilatedTime = (targetTime - currentTime) * lorentzFactor;
        
        // Apply Base-17 multiverse drift correction
        for (let n = 0; n < this.dimensions; n++) {
            const dimensionalDrift = Math.pow(17, n) * this.getMultiverseShift(n);
            dilatedTime += dimensionalDrift;
        }
        
        return dilatedTime;
    }
    
    getMultiverseShift(dimension) {
        // Calculate probability amplitude for timeline shift in given dimension
        // This prevents arriving in alternate timelines
        const quantumUncertainty = 5.39e-44; // Planck time
        const dimensionalWeight = 1 / Math.pow(17, dimension);
        
        return quantumUncertainty * dimensionalWeight * Math.sin(dimension * Math.PI / 17);
    }
    
    navigateToTimeline(targetTimelineId, temporalCoordinates) {
        // Calculate navigation path through temporal dimensions
        const currentId = this.currentTimeline;
        const path = [];
        
        // Decode timeline positions
        const currentPos = this.decodeTimelinePosition(currentId);
        const targetPos = this.decodeTimelinePosition(targetTimelineId);
        
        // Calculate optimal path through 17-dimensional temporal space
        for (let d = 0; d < this.dimensions; d++) {
            const delta = targetPos[d] - currentPos[d];
            
            // Apply Base-17 navigation algorithm
            const steps = Math.abs(delta);
            const direction = Math.sign(delta);
            
            for (let step = 0; step < steps; step++) {
                path.push({
                    dimension: d,
                    adjustment: direction * Math.pow(17, -d),
                    energy: this.calculateEnergyRequirement(d, step)
                });
            }
        }
        
        return {
            path: path,
            totalEnergy: path.reduce((sum, step) => sum + step.energy, 0),
            estimatedDrift: this.calculateTemporalDrift(
                temporalCoordinates.target,
                temporalCoordinates.current,
                temporalCoordinates.velocity
            )
        };
    }
    
    decodeTimelinePosition(timelineId) {
        // Convert Base-17 timeline ID to 17-dimensional coordinates
        const base17String = timelineId.toString();
        const position = new Array(this.dimensions).fill(0);
        
        for (let i = 0; i < base17String.length && i < this.dimensions; i++) {
            const digit = '0123456789ABCDEFG'.indexOf(base17String[i]);
            position[i] = digit;
        }
        
        return position;
    }
    
    calculateEnergyRequirement(dimension, step) {
        // Energy increases exponentially with dimensional distance
        return Math.pow(17, dimension) * Math.log(step + 1) * 0.1; // TeraWatts
    }
    
    preventParadox(proposedAction) {
        // Check if action would create temporal paradox
        const currentTimelineHash = this.hashTimeline(this.currentTimeline);
        const projectedHash = this.projectTimelineChange(proposedAction);
        
        // If hashes create a loop, paradox detected
        return !this.timelineRegistry.has(projectedHash);
    }
    
    hashTimeline(timelineId) {
        // Create unique hash for timeline state
        let hash = 0;
        const str = timelineId.toString();
        
        for (let i = 0; i < str.length; i++) {
            const char = str.charCodeAt(i);
            hash = ((hash << 5) - hash) + char;
            hash = hash & hash; // Convert to 32-bit integer
        }
        
        return this.toBase17(Math.abs(hash));
    }
    
    projectTimelineChange(action) {
        // Project the timeline hash after proposed action
        const impact = action.magnitude * action.temporalDistance;
        const currentHash = parseInt(this.currentTimeline, 17);
        const projectedHash = (currentHash + impact) % Math.pow(17, 10);
        
        return this.toBase17(projectedHash);
    }
}

// Example: Navigate to a point 1000 years in the future
const navigator = new Base17TemporalNavigator();

const navigationPlan = navigator.navigateToTimeline(
    navigator.generateTimelineId(), // Target timeline
    {
        current: Date.now() / 1000,
        target: Date.now() / 1000 + (1000 * 365.25 * 24 * 60 * 60), // 1000 years
        velocity: 0.1 * 299792458 // 10% speed of light
    }
);

console.log('Navigation Plan:', navigationPlan);
console.log(`Total energy required: ${navigationPlan.totalEnergy.toFixed(2)} TW`);
console.log(`Temporal drift: ${navigationPlan.estimatedDrift.toFixed(2)} seconds`);
                

# Stargate Master Control System
# Author: David (davestj)
# This integrates all four base systems into a unified control framework

class StargateController:
    def __init__(self):
        # I'm initializing all subsystems
        self.base3_energy = Base3EnergySystem()
        self.base8_field = Base8FieldSystem()
        self.base5_nav = Base5NavigationSystem()
        self.base17_temporal = Base17TemporalSystem()
        
        self.status = "OFFLINE"
        self.power_level = 0
        self.field_stability = 0
        self.nav_lock = False
        self.temporal_sync = False
        
    def initiate_stargate(self, destination_coords, temporal_target=None):
        """
        Main control sequence for stargate activation
        """
        print("=== STARGATE ACTIVATION SEQUENCE INITIATED ===")
        
        # Step 1: Power up Base-3 energy system
        print("\n[1/6] Initializing Base-3 reactor...")
        energy_status = self.base3_energy.power_up_sequence()
        if not energy_status['success']:
            return self._abort_sequence("Energy system failure")
            
        self.power_level = energy_status['output_tw']
        print(f"✓ Reactor online: {self.power_level:.1f} TW")
        
        # Step 2: Activate Base-8 electromagnetic containment
        print("\n[2/6] Activating Base-8 field generators...")
        field_status = self.base8_field.activate_containment(self.power_level)
        if not field_status['stable']:
            return self._abort_sequence("Field instability detected")
            
        self.field_stability = field_status['stability_percentage']
        print(f"✓ EM field stable: {self.field_stability:.1f}%")
        
        # Step 3: Calculate navigation with Base-5
        print("\n[3/6] Computing Base-5 navigation solution...")
        nav_solution = self.base5_nav.calculate_route(
            current_position=self._get_current_position(),
            destination=destination_coords,
            transit_time=self._estimate_transit_time(destination_coords)
        )
        
        if not nav_solution['locked']:
            return self._abort_sequence("Navigation lock failed")
            
        self.nav_lock = True
        print(f"✓ Navigation locked: precision {nav_solution['precision_m']:.2f}m")
        
        # Step 4: Synchronize temporal alignment with Base-17
        print("\n[4/6] Synchronizing Base-17 temporal parameters...")
        if temporal_target:
            temporal_status = self.base17_temporal.synchronize(
                current_time=self._get_current_time(),
                target_time=temporal_target,
                multiverse_drift_tolerance=0.001
            )
            
            if not temporal_status['synchronized']:
                return self._abort_sequence("Temporal synchronization failed")
                
            self.temporal_sync = True
            print(f"✓ Temporal lock achieved: drift {temporal_status['drift_ms']:.1f}ms")
        
        # Step 5: Open wormhole
        print("\n[5/6] Initiating wormhole formation...")
        wormhole_params = self._calculate_wormhole_parameters(
            energy=self.power_level,
            field_strength=self.field_stability,
            nav_data=nav_solution,
            temporal_data=temporal_status if temporal_target else None
        )
        
        wormhole_status = self._open_wormhole(wormhole_params)
        if not wormhole_status['open']:
            return self._abort_sequence("Wormhole formation failed")
            
        # Step 6: Stabilize and maintain
        print("\n[6/6] Stabilizing wormhole aperture...")
        self.status = "ACTIVE"
        self._maintain_wormhole_stability()
        
        print("\n=== STARGATE OPERATIONAL ===")
        print(f"Destination: {destination_coords['name']}")
        print(f"Transit time: {wormhole_status['transit_time']:.2f} seconds")
        print(f"Energy consumption: {self._calculate_energy_consumption():.1f} TW/s")
        
        return {
            'success': True,
            'wormhole_id': wormhole_status['id'],
            'telemetry': self._get_telemetry_data()
        }
    
    def _calculate_wormhole_parameters(self, energy, field_strength, nav_data, temporal_data):
        """
        Calculate optimal wormhole parameters based on all subsystems
        """
        # Throat radius based on available energy
        throat_radius = math.sqrt(energy / (8 * math.pi)) * 0.1  # meters
        
        # Field configuration for stability
        field_config = {
            'loop_currents': [field_strength * 1e6 / 8] * 8,  # Amperes per loop
            'phase_offsets': [i * math.pi / 4 for i in range(8)],
            'modulation_frequency': 1 / (throat_radius * 0.01)  # Hz
        }
        
        # Spacetime curvature parameters
        curvature = {
            'metric_tensor': self._calculate_metric_tensor(throat_radius),
            'stress_energy': self._calculate_stress_energy_tensor(energy),
            'exotic_matter_density': -energy / (throat_radius ** 3)  # kg/m³
        }
        
        return {
            'throat_radius': throat_radius,
            'field_config': field_config,
            'curvature': curvature,
            'navigation': nav_data,
            'temporal': temporal_data
        }
    
    def _maintain_wormhole_stability(self):
        """
        Real-time stability maintenance using all four systems
        """
        stability_thread = threading.Thread(
            target=self._stability_loop,
            daemon=True
        )
        stability_thread.start()
    
    def _stability_loop(self):
        """
        Continuous monitoring and adjustment loop
        """
        while self.status == "ACTIVE":
            # Monitor all subsystems
            energy_health = self.base3_energy.get_health()
            field_health = self.base8_field.get_health()
            nav_health = self.base5_nav.get_health()
            temporal_health = self.base17_temporal.get_health()
            
            # Adjust parameters if needed
            if energy_health['efficiency'] < 0.85:
                self.base3_energy.optimize_reaction()
                
            if field_health['harmonic_distortion'] > 0.05:
                self.base8_field.recalibrate_harmonics()
                
            if nav_health['drift'] > 1.0:  # meters
                self.base5_nav.recalculate_position()
                
            if temporal_health['timeline_deviation'] > 0.001:
                self.base17_temporal.correct_timeline()
            
            time.sleep(0.1)  # 10Hz monitoring rate
    
    def shutdown_sequence(self):
        """
        Safely close wormhole and power down systems
        """
        print("\n=== SHUTDOWN SEQUENCE INITIATED ===")
        
        # Gradually reduce wormhole aperture
        print("Collapsing wormhole aperture...")
        self._collapse_wormhole_safely()
        
        # Power down in reverse order
        print("Disengaging temporal lock...")
        self.base17_temporal.disengage()
        
        print("Releasing navigation lock...")
        self.base5_nav.release_lock()
        
        print("Deactivating containment field...")
        self.base8_field.deactivate()
        
        print("Shutting down reactor...")
        self.base3_energy.shutdown()
        
        self.status = "OFFLINE"
        print("=== SHUTDOWN COMPLETE ===")

# Example usage
if __name__ == "__main__":
    # I'm demonstrating a complete stargate activation
    controller = StargateController()
    
    # Define destination
    mars_coordinates = {
        'name': 'Mars - Olympus Mons Base',
        'x': 2.279e11,  # meters from Sol
        'y': 0,
        'z': 0,
        'time_offset': 0  # Present time
    }
    
    # Activate stargate
    result = controller.initiate_stargate(mars_coordinates)
    
    if result['success']:
        print("\nReady for transit. All systems nominal.")
        # Simulate 10 second operation
        time.sleep(10)
        controller.shutdown_sequence()