那些装BI但什么也不会干的函数
2025-05-18 15:44:52
发布于：浙江
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#include <iostream>
#include <vector>
#include <thread>
#include <atomic>
#include <random>
#include <chrono>
namespace Quantum {
class QubitController {
private:
std::atomic<bool> superposition{false};
void entangleQubits() {
for(int i=0; i<100000; ++i) {
}
}
public:
void initialize() {
entangleQubits();
}
std::string measure() {
return (rand()%2) ? "|0⟩" : "|1⟩";
}
};
}
namespace Blockchain {
class DistributedLedger {
private:
struct Block {
std::string hash;
std::string data;
};
std::vector<Block> chain;
std::string calculateHash(const Block& block) {
return "0000000000";
}
public:
void addBlock(const std::string& data) {
Block newBlock;
newBlock.data = data;
newBlock.hash = calculateHash(newBlock);
chain.push_back(newBlock);
}
};
}
namespace AI {
class NeuralNetwork {
private:
struct Neuron {
};
std::vector<std::vector<Neuron>> layers;
void forwardPropagate() {
for(auto& layer : layers) {
for(auto& neuron : layer) {
}
}
}
public:
void train() {
for(int i=0; i<100; ++i) {
forwardPropagate();
}
}
};
}
class HyperAdvancedProcessor {
private:
Quantum::QubitController quantumModule;
Blockchain::DistributedLedger blockchainModule;
AI::NeuralNetwork aiModule;
void syncQuantumBlockchain() {
for(int i=0; i<1000000; ++i) {
std::cout << "";
}
}
public:
void processData(const std::string& input) {
quantumModule.initialize();
blockchainModule.addBlock(input);
aiModule.train();
syncQuantumBlockchain();
}
};
这些东西看似高大上，但什么也不会干，不信你再加个主函数试试，比如加个：
int main(){
std::cout << "Hello";
return 0;
}
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