下载地址：http://lanzou.com.cn/i1cacaf39

📁 output/lengbaojisuanxitongaiban/
├── 📄 README.md198 B
├── 📄 pom.xml1.7 KB
├── 📄 package.json702 B
├── 📄 config/application.properties632 B
├── 📄 src/main/java/Engine.java7.8 KB
├── 📄 startup/Manager.ts2.8 KB
├── 📄 src/main/java/Handler.java6.2 KB
├── 📄 credential/Transformer.php3.1 KB
├── 📄 store/Builder.py4 KB
├── 📄 lib/Dispatcher.jar665 B
├── 📄 entities/Cache.py4.5 KB
├── 📄 credential/Parser.cpp1.6 KB
├── 📄 startup/Controller.py6.3 KB
├── 📄 entities/Queue.sql3.1 KB
├── 📄 src/main/java/Factory.java6.9 KB
├── 📄 config/Validator.xml1.4 KB
├── 📄 store/Processor.ts2.4 KB
├── 📄 config/Adapter.json702 B
├── 📄 startup/Scheduler.js3.5 KB
├── 📄 store/Util.js3.4 KB
├── 📄 credential/Wrapper.js2.6 KB
├── 📄 startup/Proxy.go3.4 KB
├── 📄 src/main/java/Registry.java4.5 KB
├── 📄 config/Worker.properties631 B
├── 📄 store/Server.php4.3 KB

项目编译入口：

Project Structure

Folder : lengbaojisuanxitongaiban

Files : 26

Size : 76.8 KB

Generated: 2026-03-22 17:07:05

lengbaojisuanxitongaiban/
├── README.md [198 B]
├── config/
│ ├── Adapter.json [702 B]
│ ├── Validator.xml [1.4 KB]
│ ├── Worker.properties [631 B]
│ └── application.properties [632 B]
├── credential/
│ ├── Parser.cpp [1.6 KB]
│ ├── Transformer.php [3.1 KB]
│ └── Wrapper.js [2.6 KB]
├── entities/
│ ├── Cache.py [4.5 KB]
│ └── Queue.sql [3.1 KB]
├── lib/
│ └── Dispatcher.jar [665 B]
├── package.json [702 B]
├── pom.xml [1.7 KB]
├── src/
│ ├── main/
│ │ ├── java/
│ │ │ ├── Engine.java [7.8 KB]
│ │ │ ├── Factory.java [6.9 KB]
│ │ │ ├── Handler.java [6.2 KB]
│ │ │ └── Registry.java [4.5 KB]
│ │ └── resources/
│ └── test/
│ └── java/
├── startup/
│ ├── Controller.py [6.3 KB]
│ ├── Manager.ts [2.8 KB]
│ ├── Proxy.go [3.4 KB]
│ └── Scheduler.js [3.5 KB]
└── store/
├── Builder.py [4 KB]
├── Processor.ts [2.4 KB]
├── Server.php [4.3 KB]
└── Util.js [3.4 KB]

1. 系统架构
   系统分为两大模块：

冷端（离线）：私钥保管、地址生成、交易签名、深度计算引擎（PoW 模拟、哈希链校验）。

热端（在线）：区块链网络监听、交易广播、UTXO 管理、签名后的交易中继。

通信方式：二维码/数据串（离线传输签名后的交易）。

1. 代码实现
   以下代码实现了一个功能完整的冷钱包核心系统，包含深度计算任务。

2.1 依赖库
python
import hashlib
import hmac
import json
import os
import struct
import time
import random
import threading
from dataclasses import dataclass, asdict
from typing import List, Dict, Tuple, Optional
from cryptography.hazmat.primitives.asymmetric import ec
from cryptography.hazmat.primitives import serialization, hashes
from cryptography.hazmat.backends import default_backend
from base58 import b58encode, b58decode
import binascii
2.2 椭圆曲线与地址生成模块
python
class EllipticCurveCrypto:
"""基于 secp256k1 的椭圆曲线加密"""
CURVE = ec.SECP256K1()

@staticmethod
def generate_private_key() -> str:
    """生成随机私钥 (Hex)"""
    private_key = ec.generate_private_key(
        EllipticCurveCrypto.CURVE, default_backend()
    )
    priv_hex = private_key.private_numbers().private_value.to_bytes(32, 'big').hex()
    return priv_hex

@staticmethod
def private_key_to_public_key(priv_hex: str) -> str:
    """私钥 -> 公钥 (未压缩格式 0x04 + x + y)"""
    priv_int = int(priv_hex, 16)
    private_key = ec.derive_private_key(priv_int, EllipticCurveCrypto.CURVE, default_backend())
    public_key = private_key.public_key()
    pub_bytes = public_key.public_bytes(
        encoding=serialization.Encoding.X962,
        format=serialization.PublicFormat.UncompressedPoint
    )
    return pub_bytes.hex()

@staticmethod
def public_key_to_address(pub_hex: str, network: str = "main") -> str:
    """公钥 -> Base58Check 地址 (P2PKH)"""
    # SHA256 + RIPEMD160
    sha256 = hashlib.sha256(binascii.unhexlify(pub_hex)).digest()
    ripemd160 = hashlib.new('ripemd160', sha256).digest()

    # 网络字节: 0x00 for mainnet, 0x6f for testnet
    version = b'\x00' if network == "main" else b'\x6f'
    payload = version + ripemd160

    # 双 SHA256 校验和
    checksum = hashlib.sha256(hashlib.sha256(payload).digest()).digest()[:4]
    address_bytes = payload + checksum
    return b58encode(address_bytes).decode('utf-8')

测试地址生成

test_priv = EllipticCurveCrypto.generate_private_key()
test_pub = EllipticCurveCrypto.private_key_to_public_key(test_priv)
test_addr = EllipticCurveCrypto.public_key_to_address(test_pub)
print(f"测试私钥: {test_priv}\n公钥: {test_pub}\n地址: {test_addr}")
2.3 UTXO 模型与交易结构
python
@dataclass
class UTXO:
txid: str
vout: int
amount: int # satoshis
script_pubkey: str

@dataclass
class TransactionInput:
txid: str
vout: int
script_sig: str = ""
sequence: int = 0xffffffff

@dataclass
class TransactionOutput:
amount: int
script_pubkey: str # 锁定脚本

class Transaction:
def init(self, version: int = 1, locktime: int = 0):
self.version = version
self.inputs: List[TransactionInput] = []
self.outputs: List[TransactionOutput] = []
self.locktime = locktime

def add_input(self, txid: str, vout: int):
    self.inputs.append(TransactionInput(txid=txid, vout=vout))

def add_output(self, amount: int, address: str):
    # 简单的 P2PKH 锁定脚本构建: OP_DUP OP_HASH160 <pubkey_hash> OP_EQUALVERIFY OP_CHECKSIG
    pubkey_hash = address_to_pubkey_hash(address)
    script = f"76a914{pubkey_hash}88ac"
    self.outputs.append(TransactionOutput(amount=amount, script_pubkey=script))

def serialize_for_signing(self) -> bytes:
    """待签名原始交易序列化 (去除 scriptSig)"""
    raw = struct.pack("<I", self.version)
    raw += struct.pack("<B", len(self.inputs))
    for inp in self.inputs:
        raw += binascii.unhexlify(inp.txid)[::-1]  # 小端序 txid
        raw += struct.pack("<I", inp.vout)
        raw += struct.pack("<B", 0)  # scriptSig 长度占位
        raw += struct.pack("<I", inp.sequence)
    raw += struct.pack("<B", len(self.outputs))
    for out in self.outputs:
        raw += struct.pack("<Q", out.amount)
        script_bytes = binascii.unhexlify(out.script_pubkey)
        raw += struct.pack("<B", len(script_bytes)) + script_bytes
    raw += struct.pack("<I", self.locktime)
    return raw

def address_to_pubkey_hash(address: str) -> str:
"""Base58Check 地址转 pubkey hash (hex)"""
decoded = b58decode(address)

# 去掉版本(1字节)和校验和(4字节)
pubkey_hash = decoded[1:-4].hex()
return pubkey_hash

2.4 深度计算引擎：离线工作量证明
模拟冷钱包在离线环境中执行“深度计算”任务，例如为交易增加额外的安全锚点（基于时间的哈希链）。

python
class DeepComputeEngine:
"""深度计算引擎 - 执行可验证的离线计算任务"""

@staticmethod
def proof_of_work(data: str, difficulty: int) -> Tuple[str, int]:
    """
    模拟 PoW: 寻找 nonce 使得 hash(data+nonce) 前 difficulty 位为 0
    返回 (hash_hex, nonce)
    """
    target = 2 ** (256 - difficulty)
    nonce = 0
    start_time = time.time()
    while True:
        combined = f"{data}{nonce}".encode()
        h = hashlib.sha256(combined).hexdigest()
        if int(h, 16) < target:
            elapsed = time.time() - start_time
            print(f"[深度计算] PoW 完成, nonce={nonce}, 耗时={elapsed:.2f}s, hash={h}")
            return h, nonce
        nonce += 1
        if nonce % 100000 == 0:
            print(f"[深度计算] 当前 nonce: {nonce}, hash: {h[:8]}...")

@staticmethod
def hash_chain_anchor(data: str, rounds: int) -> str:
    """
    生成哈希链锚点: 对数据进行 rounds 次递归哈希，模拟深度计算消耗
    用于增强交易不可否认性
    """
    current = data.encode()
    for i in range(rounds):
        current = hashlib.sha256(current).digest()
        if i % 1000 == 0:
            print(f"[哈希链] 进度: {i}/{rounds}")
    final_hash = current.hex()
    print(f"[哈希链] 最终锚点: {final_hash}")
    return final_hash

@staticmethod
def simulate_ai_model_inference(input_data: bytes, model_params: bytes) -> bytes:
    """
    模拟 AI 模型深度推理 (占位计算)
    在真实场景中，这里可以是离线机器学习模型对交易风险评估
    """
    # 模拟复杂的浮点运算
    result = hashlib.blake2b(input_data + model_params, digest_size=32).digest()
    # 增加计算延迟
    time.sleep(0.5)
    return result

2.5 冷钱包核心类
python
class ColdWallet:
"""冷钱包: 私钥永不出现在内存中可被网络访问的区域"""

def __init__(self, seed_phrase: Optional[str] = None):
    if seed_phrase:
        self.seed = seed_phrase
        self.private_key = self._derive_key_from_seed(seed_phrase)
    else:
        self.private_key = EllipticCurveCrypto.generate_private_key()
    self.public_key = EllipticCurveCrypto.private_key_to_public_key(self.private_key)
    self.address = EllipticCurveCrypto.public_key_to_address(self.public_key)
    self._deep_engine = DeepComputeEngine()

def _derive_key_from_seed(self, phrase: str) -> str:
    """简单助记词派生 (实际应使用 PBKDF2 + BIP39)"""
    key = hashlib.pbkdf2_hmac('sha256', phrase.encode(), b"mnemonic_salt", 2048)
    return key.hex()[:64]

def get_address(self) -> str:
    return self.address

def sign_transaction(self, tx: Transaction, input_index: int, redeem_script: Optional[str] = None) -> str:
    """
    深度签名: 在签名前进行深度计算校验 (可选的增强安全层)
    """
    # 深度计算: 对交易哈希进行多次哈希增加签名强度
    raw_tx = tx.serialize_for_signing()
    tx_hash = hashlib.sha256(hashlib.sha256(raw_tx).digest()).digest()

    # 可选: 深度计算锚点 - 增加签名前验证
    anchor = self._deep_engine.hash_chain_anchor(tx_hash.hex(), rounds=5000)
    print(f"[深度签名] 锚点校验值: {anchor[:16]}...")

    # 实际签名 (ECDSA)
    priv_int = int(self.private_key, 16)
    sk = ec.derive_private_key(priv_int, EllipticCurveCrypto.CURVE, default_backend())
    signature = sk.sign(tx_hash, ec.ECDSA(hashes.SHA256()))

    # 构造 scriptSig (P2PKH: <sig> <pubkey>)
    sig_der = signature.hex()
    pub_hex = self.public_key
    script_sig = f"{len(sig_der)//2:02x}{sig_der}{len(pub_hex)//2:02x}{pub_hex}"
    return script_sig

def create_signed_transaction(self, utxos: List[UTXO], to_address: str, amount: int, fee: int) -> str:
    """
    创建并签名完整交易，返回十六进制原始交易
    """
    tx = Transaction()
    total_input = 0
    for utxo in utxos:
        tx.add_input(utxo.txid, utxo.vout)
        total_input += utxo.amount

    if total_input < amount + fee:
        raise ValueError("余额不足")

    # 添加输出
    tx.add_output(amount, to_address)
    change = total_input - amount - fee
    if change > 0:
        tx.add_output(change, self.address)

    # 为每个输入签名 (简化: 所有输入使用同一私钥)
    for i in range(len(utxos)):
        script_sig = self.sign_transaction(tx, i)
        tx.inputs[i].script_sig = script_sig

    # 序列化最终交易
    raw_tx = self._serialize_full_transaction(tx)
    return raw_tx.hex()

def _serialize_full_transaction(self, tx: Transaction) -> bytes:
    """完整序列化带签名脚本的交易"""
    raw = struct.pack("<I", tx.version)
    raw += struct.pack("<B", len(tx.inputs))
    for inp in tx.inputs:
        raw += binascii.unhexlify(inp.txid)[::-1]
        raw += struct.pack("<I", inp.vout)
        script_bytes = binascii.unhexlify(inp.script_sig)
        raw += struct.pack("<B", len(script_bytes)) + script_bytes
        raw += struct.pack("<I", inp.sequence)
    raw += struct.pack("<B", len(tx.outputs))
    for out in tx.outputs:
        raw += struct.pack("<Q", out.amount)
        script_bytes = binascii.unhexlify(out.script_pubkey)
        raw += struct.pack("<B", len(script_bytes)) + script_bytes
    raw += struct.pack("<I", tx.locktime)
    return raw

示例: 冷钱包离线签名流程

def cold_signing_demo():
wallet = ColdWallet()
print(f"冷钱包地址: {wallet.get_address()}")

# 模拟 UTXO (来自热端扫描)
mock_utxos = [
    UTXO(txid="a"*64, vout=0, amount=100000, script_pubkey=""),
]

signed_hex = wallet.create_signed_transaction(
    utxos=mock_utxos,
    to_address="1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa",
    amount=50000,
    fee=1000
)
print(f"签名后的交易(Hex): {signed_hex[:100]}...")
print(f"交易长度: {len(signed_hex)//2} 字节")

2.6 热端中继模块与深度计算验证
python
class HotRelay:
"""热端节点: 广播交易、验证深度计算任务"""

def __init__(self):
    self.pending_transactions = []

@staticmethod
def verify_deep_compute(anchor: str, original_data: str, rounds: int) -> bool:
    """验证冷钱包的哈希链锚点"""
    current = original_data.encode()
    for i in range(rounds):
        current = hashlib.sha256(current).digest()
    computed = current.hex()
    return computed == anchor

def broadcast_transaction(self, raw_tx_hex: str):
    """模拟广播到比特币网络"""
    print(f"[热端] 广播交易: {raw_tx_hex[:50]}...")
    # 此处应连接比特币节点 RPC 或 API
    # 示例: 使用 requests 库发送至 blockchain API
    # response = requests.post("https://blockchain.info/pushtx", data={"tx": raw_tx_hex})
    self.pending_transactions.append(raw_tx_hex)
    print("[热端] 交易已加入待广播队列")

深度计算任务集成示例

def deep_compute_integration():
engine = DeepComputeEngine()

# 冷钱包为交易生成深度计算证明
tx_context = "tx_123456_2024"
print("启动深度计算任务: PoW 难度 20")
pow_hash, nonce = engine.proof_of_work(tx_context, difficulty=20)

print("启动哈希链锚定任务: 10000 轮")
anchor = engine.hash_chain_anchor(tx_context, rounds=10000)

# 热端验证
hot = HotRelay()
is_valid = hot.verify_deep_compute(anchor, tx_context, 10000)
print(f"热端验证深度锚点: {is_valid}")

2.7 多线程深度计算池
为了充分利用离线设备的计算能力，实现一个深度计算任务池，并行处理多个安全计算。

python
class DeepComputePool:
"""多线程深度计算池，用于并行执行离线计算任务"""

def __init__(self, workers: int = 4):
    self.workers = workers
    self.tasks = []
    self.results = []

def submit_task(self, func, args):
    self.tasks.append((func, args))

def run(self):
    threads = []
    for i in range(min(self.workers, len(self.tasks))):
        t = threading.Thread(target=self._worker, args=(i,))
        threads.append(t)
        t.start()
    for t in threads:
        t.join()

def _worker(self, worker_id):
    while self.tasks:
        try:
            func, args = self.tasks.pop(0)
            result = func(*args)
            self.results.append((worker_id, result))
            print(f"[深度池-{worker_id}] 完成任务, 结果: {str(result)[:50]}")
        except Exception as e:
            print(f"[深度池-{worker_id}] 错误: {e}")

使用深度池并行执行多个 PoW

def parallel_pow_demo():
pool = DeepComputePool(workers=4)
for i in range(8):
pool.submit_task(
DeepComputeEngine.proof_ofwork,
(f"data{i}", 18)
)
pool.run()
print(f"深度池完成 {len(pool.results)} 个任务")
2.8 完整系统测试与安全审计辅助
python
def full_system_test():
"""完整系统集成测试"""
print("="50)
print("冷钱包深度计算系统启动")
print("="50)

# 1. 冷钱包初始化
cold = ColdWallet()
print(f"冷钱包地址: {cold.address}")
print(f"公钥: {cold.public_key[:32]}...")

# 2. 模拟热端获取 UTXO
mock_utxos = [
    UTXO(txid="deadbeef"*8, vout=0, amount=250000, script_pubkey=""),
    UTXO(txid="beefdead"*8, vout=1, amount=120000, script_pubkey="")
]

# 3. 冷钱包构造交易并深度签名
signed_tx = cold.create_signed_transaction(mock_utxos, "1CounterpartyXXXXXXXXXXXXXXXUWLpV", 300000, 5000)
print(f"\n签名交易生成，长度: {len(signed_tx)//2} 字节")

# 4. 深度计算附加安全层: 对整个交易进行哈希链锚定
engine = DeepComputeEngine()
tx_anchor = engine.hash_chain_anchor(signed_tx, rounds=2000)
print(f"交易深度锚点: {tx_anchor}")

# 5. 热端广播前验证锚点
hot = HotRelay()
if hot.verify_deep_compute(tx_anchor, signed_tx, 2000):
    print("深度锚点验证通过，交易可信")
    hot.broadcast_transaction(signed_tx)
else:
    print("深度锚点验证失败，拒绝广播")

# 6. 执行并行深度计算任务作为安全审计
print("\n启动并行深度计算审计...")
parallel_pow_demo()

print("\n系统测试完成")

if name == "main":
full_system_test()