第一幕：时间循环即工作量证明

// SPDX-License-Identifier: MIT
pragma solidity ^0.8.19;

contract EdgeOfConsensus {
    address public immutable pilot;
    uint256 public loopCount;
    uint256 public difficulty;
    uint256 public bestBlock;
    bytes32 public targetHash;
    mapping(uint256 => Loop) public loops;

    struct Loop {
        uint256 blockNumber;
        bytes32 blockHash;
        bool valid;
        string deathCause;
    }

    event LoopExecuted(uint256 indexed loopId, bytes32 hash, bool success);
    event DifficultyAdjusted(uint256 oldDifficulty, uint256 newDifficulty);

    modifier onlyPilot() {
        require(msg.sender == pilot, "Only Cage can loop");
        _;
    }

    constructor(bytes32 _target) {
        pilot = msg.sender;
        difficulty = 1 ether;
        targetHash = _target;
        loopCount = 0;
    }

    function attemptBlock(uint256 nonce, string memory cause) external onlyPilot {
        loopCount++;
        bytes32 attemptHash = keccak256(abi.encodePacked(loopCount, nonce, block.timestamp));
        bool isValid = uint256(attemptHash) < uint256(targetHash) / difficulty;

        loops[loopCount] = Loop({
            blockNumber: block.number,
            blockHash: attemptHash,
            valid: isValid,
            deathCause: cause
        });

        if (isValid) {
            bestBlock = loopCount;
            // Difficulty adjustment: learning from failure
            uint256 oldDiff = difficulty;
            difficulty = difficulty * 95 / 100; // 5% easier each valid loop
            emit DifficultyAdjusted(oldDiff, difficulty);
        }

        emit LoopExecuted(loopCount, attemptHash, isValid);
    }

    function getLoop(uint256 id) external view returns (Loop memory) {
        require(id <= loopCount && id > 0, "Loop not found");
        return loops[id];
    }
}

#!/usr/bin/env python3
"""
Edge of Tomorrow - Proof of Work Loop Simulator
王森涛 | 北京城市学院 2021级广播电视编导
"""

import hashlib
import time
import random
from dataclasses import dataclass
from typing import Optional

@dataclass
class LoopState:
    """Each loop is a consensus attempt"""
    experience: int = 0
    skill_level: float = 0.1
    deaths: int = 0
    furthest_distance: float = 0.0
    boss_defeated: bool = False
    omega_found: bool = False

class CageLoopEngine:
    """
    Simulates Cage's time loop as a Proof of Work consensus.
    Each iteration is a nonce attempt. Difficulty decreases as experience increases.
    """
    
    def __init__(self, target_difficulty: int = 0x00000FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF):
        self.target = target_difficulty
        self.state = LoopState()
        self.loop_history = []
        
    def calculate_difficulty(self) -> int:
        """Difficulty adjustment based on accumulated experience"""
        base = 0x00000FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF
        # Each death teaches something - difficulty decreases
        experience_factor = max(0.1, 1.0 - (self.state.experience * 0.005))
        return int(base * experience_factor)
    
    def execute_loop(self, strategy: str) -> tuple[bool, str]:
        """
        Execute one time loop (one nonce attempt).
        Returns (success, cause_of_death_or_victory)
        """
        self.state.deaths += 1
        current_difficulty = self.calculate_difficulty()
        
        # Generate a "hash" based on current state + strategy
        loop_input = f"{self.state.deaths}_{strategy}_{time.time()}_{random.random()}"
        loop_hash = int(hashlib.sha256(loop_input.encode()).hexdigest(), 16)
        
        # Check if this hash meets the target (difficulty adjusted)
        success = loop_hash < current_difficulty
        
        if success:
            self.state.experience += 10
            self.state.skill_level = min(1.0, self.state.skill_level + 0.15)
            return True, "ADVANCED: Learned enemy pattern"
        else:
            # Random death cause (failed nonce)
            death_causes = [
                "Alpha ambush from the left flank",
                "Mimic swarm overwhelming position",
                "Failed weapon calibration",
                "Mistimed retreat signal",
                "Friendly fire incident",
                "Environmental hazard - beach minefield",
                "Omega pulse interference",
                "Exhaustion-induced tactical error"
            ]
            cause = random.choice(death_causes)
            self.state.experience += 1
            self.state.skill_level = min(1.0, self.state.skill_level + 0.02)
            return False, f"DIED: {cause}"
    
    def run_full_campaign(self, max_loops: int = 200) -> list[dict]:
        """Simulate Cage's entire journey from zero to hero"""
        print("=" * 60)
        print("EDGE OF TOMORROW: PROOF OF WORK SIMULATION")
        print(f"Initial Difficulty: {hex(self.target)}")
        print(f"Initial Skill: {self.state.skill_level:.2%}")
        print("=" * 60)
        
        strategies = ["charge", "observe", "retreat", "flank", "coordinate", "snipe", "stealth"]
        
        for loop in range(1, max_loops + 1):
            strategy = random.choice(strategies)
            success, message = self.execute_loop(strategy)
            
            record = {
                "loop": loop,
                "strategy": strategy,
                "success": success,
                "message": message,
                "skill": self.state.skill_level,
                "experience": self.state.experience,
                "difficulty": hex(self.calculate_difficulty())
            }
            self.loop_history.append(record)
            
            if loop % 10 == 0 or loop == 1:
                print(f"Loop {loop:3d} | Skill: {self.state.skill_level:6.2%} | "
                      f"Exp: {self.state.experience:3d} | {message[:30]}...")
            
            if success and self.state.skill_level > 0.95:
                print(f"\n{'=' * 60}")
                print(f"OMEGA FOUND at Loop {loop}!")
                print(f"Final Skill: {self.state.skill_level:.2%}")
                print(f"Total Deaths: {self.state.deaths}")
                print(f"{'=' * 60}")
                break
        
        return self.loop_history

# Run the simulation
if __name__ == "__main__":
    engine = CageLoopEngine()
    results = engine.run_full_campaign(max_loops=150)

/**
 * Edge of Tomorrow Consensus Algorithm
 * JavaScript implementation of time-loop-based PoW validation
 * 王森涛 | 北京城市学院 2021级广播电视编导
 */

class TimeLoopConsensus {
    constructor() {
        this.chain = [];
        this.pendingLoops = [];
        this.difficulty = 4; // initial difficulty: must match 4 leading zeros
        this.cage = {
            experience: 0,
            skillLevel: 1,
            deaths: 0,
            alive: true
        };
        this.omegaAlive = true;
    }

    /**
     * Generate a block hash from loop data
     * Each loop is a "block" in the time-chain
     */
    calculateHash(loopNumber, previousHash, timestamp, deathCause, nonce) {
        const data = `${loopNumber}${previousHash}${timestamp}${deathCause}${nonce}`;
        let hash = 0;
        for (let i = 0; i < data.length; i++) {
            const char = data.charCodeAt(i);
            hash = ((hash << 5) - hash) + char;
            hash = hash & hash; // Convert to 32-bit integer
        }
        // Simulate hex encoding
        return Math.abs(hash).toString(16).padStart(8, '0');
    }

    /**
     * Proof of Work: find a nonce that produces a hash with the required leading zeros
     * This is the "die and retry" mechanism
     */
    proofOfWork(loopNumber, previousHash, timestamp, deathCause) {
        let nonce = 0;
        const target = '0'.repeat(this.difficulty);
        
        console.log(`\n🔍 Loop ${loopNumber}: Mining for target ${target}...`);
        
        while (true) {
            const hash = this.calculateHash(
                loopNumber, previousHash, timestamp, deathCause, nonce
            );
            
            // Simulate Cage's death and rebirth
            this.cage.deaths++;
            this.cage.experience += 1;
            
            // Difficulty adjustment: each death makes it slightly easier
            if (this.cage.deaths % 10 === 0 && this.difficulty > 1) {
                this.difficulty--;
                console.log(`📉 Difficulty adjusted to ${this.difficulty} (after ${this.cage.deaths} deaths)`);
            }
            
            if (hash.startsWith(target)) {
                console.log(`✅ Valid hash found at nonce ${nonce}: ${hash}`);
                return { nonce, hash };
            }
            
            nonce++;
            
            // Safety break - in real blockchain this would be infinite
            if (nonce > 1000000) {
                console.log(`❌ Omega killed - chain finalized`);
                this.omegaAlive = false;
                return null;
            }
        }
    }

    /**
     * Add a new "loop block" to the time-chain
     */
    addLoop(deathCause) {
        const loopNumber = this.chain.length + 1;
        const timestamp = Date.now();
        const previousHash = this.chain.length > 0 
            ? this.chain[this.chain.length - 1].hash 
            : '00000000';
        
        console.log(`\n💀 Loop ${loopNumber}: ${deathCause}`);
        
        const result = this.proofOfWork(loopNumber, previousHash, timestamp, deathCause);
        
        if (!result) {
            console.log('🏆 Finality achieved! Omega is dead.');
            return false;
        }
        
        const block = {
            loopNumber,
            timestamp,
            deathCause,
            previousHash,
            nonce: result.nonce,
            hash: result.hash,
            difficulty: this.difficulty,
            cageExperience: this.cage.experience,
            cageSkill: this.cage.skillLevel + (this.cage.experience * 0.01)
        };
        
        this.chain.push(block);
        this.cage.skillLevel = Math.min(100, this.cage.skillLevel + 2);
        
        console.log(`📦 Block added: ${JSON.stringify({
            loop: block.loopNumber,
            hash: block.hash,
            skill: block.cageSkill.toFixed(1)
        })}`);
        
        return true;
    }

    /**
     * Run the full consensus simulation
     */
    async runSimulation() {
        console.log('🚀 EDGE OF TOMORROW: CONSENSUS SIMULATION');
        console.log('='.repeat(50));
        
        const deathScenarios = [
            'Alpha attack on beach',
            'Mimic swarm ambush',
            'Failed parachute landing',
            'Friendly fire incident',
            'Omega EMP pulse',
            'Exhaustion in combat',
            'Vehicle explosion',
            'Sniper from ruins',
            'Underwater suffocation',
            'Building collapse'
        ];
        
        let loopCount = 0;
        while (this.omegaAlive && loopCount < 150) {
            const cause = deathScenarios[loopCount % deathScenarios.length];
            const shouldContinue = this.addLoop(cause);
            if (!shouldContinue) break;
            loopCount++;
        }
        
        console.log('\n' + '='.repeat(50));
        console.log(`📊 FINAL REPORT`);
        console.log(`Total Loops: ${loopCount}`);
        console.log(`Total Deaths: ${this.cage.deaths}`);
        console.log(`Final Skill Level: ${this.cage.skillLevel.toFixed(1)}`);
        console.log(`Chain Length: ${this.chain.length} blocks`);
        console.log(`Omega Status: ${this.omegaAlive ? 'ALIVE' : 'TERMINATED'}`);
        console.log('='.repeat(50));
        
        return this.chain;
    }
}

// Execute the consensus
const consensus = new TimeLoopConsensus();
consensus.runSimulation().then(chain => {
    console.log(`\n🎬 Final chain verified: ${chain.length} loops recorded`);
});