第一幕 · 非线性语言：当七文成为智能合约的源代码

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

contract HeptapodTimeChain {
    // 非线性时间状态机
    mapping(uint256 => bytes32) public timeStates;
    mapping(address => mapping(uint256 => bool)) public futureKnowledge;
    
    uint256 public currentTimeBlock;
    address public oracle = msg.sender;
    
    event NonLinearEvent(address indexed perceiver, uint256 indexed timeBlock, bytes32 data);
    
    // 七文的核心：同时写入所有时间点的状态
    function writeCircularMessage(
        uint256[] memory timeBlocks,
        bytes32[] memory data,
        bytes32[] memory merkleProofs
    ) external returns (bool) {
        require(msg.sender == oracle, "Only the heptapod oracle can write non-linear time");
        require(timeBlocks.length == data.length, "Time and data must have same dimension");
        
        for (uint256 i = 0; i < timeBlocks.length; i++) {
            // 环形写入：每个时间块同时记录所有时间点的信息
            bytes32 combinedHash = keccak256(abi.encodePacked(timeBlocks[i], data[i], block.timestamp));
            timeStates[timeBlocks[i]] = combinedHash;
            
            // 触发非线性事件 - 过去、现在、未来同时发生
            emit NonLinearEvent(tx.origin, timeBlocks[i], combinedHash);
        }
        return true;
    }
    
    // 遍历时间状态：如同路易斯访问任意时间点
    function traverseTime(uint256 targetTimeBlock) external view returns (bytes32) {
        bytes32 state = timeStates[targetTimeBlock];
        require(state != bytes32(0), "This time block has not been written");
        return state;
    }
    
    // 分叉选择规则：如果未来有多个可能，选择最长的"时间线"
    function forkChoiceRule(
        uint256[] memory candidateTimeBlocks,
        bytes32[] memory candidateStates
    ) external pure returns (uint256) {
        require(candidateTimeBlocks.length == candidateStates.length, "Dimension mismatch");
        
        uint256 selectedIndex = 0;
        bytes32 heaviestState = candidateStates[0];
        
        for (uint256 i = 1; i < candidateTimeBlocks.length; i++) {
            // 选择"最重"的时间线——如同GHOST协议
            if (uint256(candidateStates[i]) > uint256(heaviestState)) {
                heaviestState = candidateStates[i];
                selectedIndex = i;
            }
        }
        return candidateTimeBlocks[selectedIndex];
    }
}

import hashlib
import time
from typing import Dict, List, Tuple, Optional

class NonLinearTimeIndex:
    """
    非线性时间索引器
    模拟七肢桶的环形时间感知能力
    """
    
    def __init__(self):
        # 时间状态映射：时间戳 -> 状态哈希
        self.time_states: Dict[int, str] = {}
        # 默克尔树根：代表"整段对话"的环形文字
        self.merkle_root: Optional[str] = None
        # 时间线分支：模拟不同可能的时间线
        self.timeline_forks: Dict[str, List[int]] = {}
        
    def write_circular_state(self, time_block: int, data: str) -> str:
        """
        环形写入：将数据写入指定的时间块，
        同时影响所有相邻时间块的状态
        """
        # 生成当前时间块的状态哈希
        current_hash = hashlib.sha256(
            f"{time_block}:{data}:{time.time()}".encode()
        ).hexdigest()
        
        # 七文的核心特性：写入一个时间点，影响所有时间点
        # 模拟"环形"效应：将当前数据与所有已有状态结合
        combined_state = current_hash
        for existing_time, existing_hash in self.time_states.items():
            combined_hash = hashlib.sha256(
                f"{combined_state}:{existing_hash}".encode()
            ).hexdigest()
            combined_state = combined_hash
            # 更新已有时间块的状态
            self.time_states[existing_time] = combined_hash
            
        # 记录当前时间块
        self.time_states[time_block] = combined_state
        
        # 更新默克尔根
        self._update_merkle_root()
        
        return combined_state
    
    def _update_merkle_root(self):
        """构建默克尔树根"""
        if not self.time_states:
            return
            
        # 将所有时间状态作为叶子节点
        leaves = list(self.time_states.values())
        
        # 构建默克尔树
        while len(leaves) > 1:
            if len(leaves) % 2 == 1:
                leaves.append(leaves[-1])  # 复制最后一个节点
            new_level = []
            for i in range(0, len(leaves), 2):
                combined = hashlib.sha256(
                    f"{leaves[i]}:{leaves[i+1]}".encode()
                ).hexdigest()
                new_level.append(combined)
            leaves = new_level
            
        self.merkle_root = leaves[0] if leaves else None
    
    def traverse_time(self, target_time: int) -> Optional[str]:
        """
        遍历时间：访问任意时间点的状态
        对应路易斯在掌握七文后穿越时间的能力
        """
        return self.time_states.get(target_time)
    
    def create_fork(self, fork_name: str, time_blocks: List[int]):
        """
        创建时间线分叉
        模拟区块链中的分叉（fork）场景
        """
        self.timeline_forks[fork_name] = sorted(time_blocks)
        return f"Fork '{fork_name}' created with {len(time_blocks)} time blocks"
    
    def resolve_fork(self, fork_a: str, fork_b: str) -> str:
        """
        分叉选择规则：选择时间线更长的分叉
        对应比特币的"最长链规则"
        """
        len_a = len(self.timeline_forks.get(fork_a, []))
        len_b = len(self.timeline_forks.get(fork_b, []))
        
        if len_a > len_b:
            return fork_a
        elif len_b > len_a:
            return fork_b
        else:
            # 如果长度相同，使用"时间权重"决定
            return fork_a if fork_a < fork_b else fork_b

# 模拟《降临》的时间线
index = NonLinearTimeIndex()

# 路易斯学习七文的过程
index.write_circular_state(0, "学习七文开始")
index.write_circular_state(1, "理解环形文字结构")
index.write_circular_state(2, "获得非线性时间感知")

# 预知未来：写入尚未发生的时间块
index.write_circular_state(100, "女儿出生")
index.write_circular_state(200, "女儿去世")
index.write_circular_state(150, "与伊恩结婚")

# 遍历时间：访问任意时间点
print("时间块100的状态:", index.traverse_time(100))
print("默克尔根:", index.merkle_root)

# 分叉选择
index.create_fork("时间线A: 选择不学习七文", [0, 1, 2])
index.create_fork("时间线B: 选择学习七文", [0, 1, 2, 100, 150, 200])
print("分叉选择结果:", index.resolve_fork("时间线A: 选择不学习七文", "时间线B: 选择学习七文"))

/**
 * 七文时间树可视化引擎
 * 将环形文字结构映射为区块链的默克尔树
 */
class HeptapodTimeTree {
    constructor(containerId) {
        this.container = document.getElementById(containerId);
        this.timeNodes = new Map();
        this.connections = [];
        this.canvas = null;
        this.ctx = null;
    }

    /**
     * 添加时间节点
     * 每个节点代表一个"环形文字"——一个包含完整时间信息的墨迹
     */
    addTimeNode(id, data, timestamp, parentIds = []) {
        const node = {
            id,
            data,
            timestamp,
            parentIds,
            children: [],
            // 环形文字的特性：节点包含所有祖先的信息
            merkleHash: this._computeMerkleHash(id, data, timestamp),
            // 节点的"时间权重"——决定它在分叉选择中的优先级
            weight: this._computeWeight(data),
            x: 0,
            y: 0,
            radius: 0
        };

        // 连接父节点
        parentIds.forEach(parentId => {
            const parent = this.timeNodes.get(parentId);
            if (parent) {
                parent.children.push(id);
                this.connections.push({
                    from: parentId,
                    to: id,
                    // 连接线的"墨迹浓度"——代表信息传递的完整性
                    inkDensity: 0.5 + Math.random() * 0.5
                });
            }
        });

        this.timeNodes.set(id, node);
        return node;
    }

    /**
     * 计算默克尔哈希：模拟环形文字的全息性
     * 每个节点的哈希包含其所有子节点的信息
     */
    _computeMerkleHash(id, data, timestamp) {
        const baseString = `${id}:${data}:${timestamp}`;
        let hash = this._simpleHash(baseString);
        
        // 递归地包含子节点信息
        const node = this.timeNodes.get(id);
        if (node && node.children.length > 0) {
            node.children.forEach(childId => {
                const child = this.timeNodes.get(childId);
                if (child) {
                    hash = this._simpleHash(`${hash}:${child.merkleHash}`);
                }
            });
        }
        
        return hash;
    }

    _simpleHash(str) {
        let hash = 0;
        for (let i = 0; i < str.length; i++) {
            const char = str.charCodeAt(i);
            hash = ((hash << 5) - hash) + char;
            hash = hash & hash;
        }
        return Math.abs(hash).toString(16);
    }

    _computeWeight(data) {
        // 信息量越大，权重越高——对应GHOST协议中的"子树权重"
        return data.length + (data.match(/[时间未来过去]/g) || []).length * 10;
    }

    /**
     * 渲染时间树
     * 使用圆形布局，模拟七文的环形结构
     */
    render() {
        const width = this.container.clientWidth || 800;
        const height = this.container.clientHeight || 600;
        
        // 创建SVG
        const svg = document.createElementNS('http://www.w3.org/2000/svg', 'svg');
        svg.setAttribute('width', width);
        svg.setAttribute('height', height);
        svg.setAttribute('viewBox', `0 0 ${width} ${height}`);
        
        // 计算环形布局
        const nodes = Array.from(this.timeNodes.values());
        const centerX = width / 2;
        const centerY = height / 2;
        const baseRadius = Math.min(width, height) / 3;
        
        nodes.forEach((node, index) => {
            const angle = (2 * Math.PI * index) / nodes.length;
            node.x = centerX + baseRadius * Math.cos(angle);
            node.y = centerY + baseRadius * Math.sin(angle);
            node.radius = 20 + (node.weight / 100) * 30;
        });
        
        // 绘制连接线（墨迹路径）
        this.connections.forEach(conn => {
            const fromNode = this.timeNodes.get(conn.from);
            const toNode = this.timeNodes.get(conn.to);
            if (!fromNode || !toNode) return;
            
            const line = document.createElementNS('http://www.w3.org/2000/svg', 'path');
            // 使用贝塞尔曲线模拟环形文字的流动感
            const midX = (fromNode.x + toNode.x) / 2;
            const midY = (fromNode.y + toNode.y) / 2;
            const offsetX = (Math.random() - 0.5) * 50;
            const offsetY = (Math.random() - 0.5) * 50;
            
            const d = `M ${fromNode.x} ${fromNode.y} Q ${midX + offsetX} ${midY + offsetY} ${toNode.x} ${toNode.y}`;
            line.setAttribute('d', d);
            line.setAttribute('stroke', `rgba(100, 149, 237, ${conn.inkDensity})`);
            line.setAttribute('stroke-width', '2');
            line.setAttribute('fill', 'none');
            line.setAttribute('opacity', '0.6');
            
            svg.appendChild(line);
        });
        
        // 绘制节点（环形文字墨迹）
        nodes.forEach(node => {
            const circle = document.createElementNS('http://www.w3.org/2000/svg', 'circle');
            circle.setAttribute('cx', node.x);
            circle.setAttribute('cy', node.y);
            circle.setAttribute('r', node.radius);
            circle.setAttribute('fill', `hsl(${node.weight * 3}, 70%, 50%)`);
            circle.setAttribute('opacity', '0.8');
            circle.setAttribute('stroke', '#fff');
            circle.setAttribute('stroke-width', '2');
            
            // 添加文字标签
            const text = document.createElementNS('http://www.w3.org/2000/svg', 'text');
            text.setAttribute('x', node.x);
            text.setAttribute('y', node.y + 5);
            text.setAttribute('text-anchor', 'middle');
            text.setAttribute('fill', '#fff');
            text.setAttribute('font-size', '12');
            text.textContent = node.id.substring(0, 6);
            
            svg.appendChild(circle);
            svg.appendChild(text);
        });
        
        this.container.appendChild(svg);
        return svg;
    }

    /**
     * 分叉选择：模拟GHOST协议
     * 在环形时间线中，选择"最重"的子树
     */
    ghostForkChoice(forkNodes) {
        let heaviestFork = null;
        let maxWeight = 0;
        
        forkNodes.forEach(forkId => {
            const node = this.timeNodes.get(forkId);
            if (!node) return;
            
            const subtreeWeight = this._calculateSubtreeWeight(forkId);
            if (subtreeWeight > maxWeight) {
                maxWeight = subtreeWeight;
                heaviestFork = forkId;
            }
        });
        
        return {
            selectedFork: heaviestFork,
            weight: maxWeight,
            // 对应路易斯的选择：即使知道未来，仍然选择"最重"的时间线
            message: "在非线性时间中，选择权重最大的分支——正如路易斯选择了已知的悲剧"
        };
    }

    _calculateSubtreeWeight(nodeId) {
        const node = this.timeNodes.get(nodeId);
        if (!node) return 0;
        
        let weight = node.weight;
        node.children.forEach(childId => {
            weight += this._calculateSubtreeWeight(childId);
        });
        return weight;
    }
}

// 使用示例
const tree = new HeptapodTimeTree('visualization');

// 构建《降临》的时间线
tree.addTimeNode('t0', '七肢桶抵达地球', 0);
tree.addTimeNode('t1', '路易斯接触七文', 1, ['t0']);
tree.addTimeNode('t2', '理解环形文字结构', 2, ['t1']);
tree.addTimeNode('t3', '获得非线性时间感知', 3, ['t2']);
tree.addTimeNode('t4', '预知女儿出生', 100, ['t3']);
tree.addTimeNode('t5', '预知女儿去世', 200, ['t4']);
tree.addTimeNode('t6', '选择继续前行', 4, ['t3', 't4', 't5']);

// 分叉选择
const result = tree.ghostForkChoice(['t3', 't6']);
console.log('GHOST分叉选择结果:', result);

// 渲染时间树
tree.render();