src/bin/pure_custom_engine.rs

// 🚀 외부 라이브러리(Crate) 전혀 없이 표준 라이브러리(std)만으로 밑바닥부터 직접 구현한 순수 엔진 (src/bin/pure_custom_engine.rs)
use std::time::Instant;
use std::thread;

// 1. 순수 비트 시프트 기반 초고속 자체 난수 생성기 (Xorshift32 - 외부 rand 라이브러리 배제)
struct FastRng {
    state: u32,
}

impl FastRng {
    fn new(seed: u32) -> Self {
        FastRng { state: if seed == 0 { 0x12345678 } else { seed } }
    }

    #[inline(always)]
    fn next_u32(&mut self) -> u32 {
        let mut x = self.state;
        x ^= x << 13;
        x ^= x >> 17;
        x ^= x << 5;
        self.state = x;
        x
    }

    #[inline(always)]
    fn next_f32(&mut self) -> f32 {
        (self.next_u32() & 0x00FFFFFF) as f32 / 16777216.0 * 2.0 - 1.0 // -1.0 ~ 1.0
    }
}

// 2. 8대 이산 위상 체계 (순수 매핑)
#[derive(Copy, Clone, Debug, PartialEq)]
#[repr(u8)]
pub enum Phase8 {
    HyperInhibit   = 0, // -2.0
    Inhibit        = 1, // -1.0
    SubInhibit     = 2, // -0.5
    NegZero        = 3, // -0.0
    PosZero        = 4, // +0.0
    SubExcite      = 5, // +0.5
    Excite         = 6, // +1.0
    HyperExcite    = 7, // +2.0
}

impl Phase8 {
    #[inline(always)]
    pub fn to_weight(self) -> f32 {
        match self {
            Phase8::HyperInhibit => -2.0,
            Phase8::Inhibit      => -1.0,
            Phase8::SubInhibit   => -0.5,
            Phase8::NegZero      => -0.01,
            Phase8::PosZero      =>  0.01,
            Phase8::SubExcite    =>  0.5,
            Phase8::Excite       =>  1.0,
            Phase8::HyperExcite  =>  2.0,
        }
    }

    #[inline(always)]
    pub fn from_field(f: f32) -> Self {
        if f <= -1.5 { Phase8::HyperInhibit }
        else if f <= -0.75 { Phase8::Inhibit }
        else if f <= -0.25 { Phase8::SubInhibit }
        else if f <= 0.0 { Phase8::NegZero }
        else if f <= 0.25 { Phase8::PosZero }
        else if f <= 0.75 { Phase8::SubExcite }
        else if f <= 1.5 { Phase8::Excite }
        else { Phase8::HyperExcite }
    }
}

// 3. 외부 크레이트 없는 순수 표준 멀티스레드 복잡계 엔진
pub struct PureCustomEngine {
    pub size: usize,
    pub bedrock: Vec<f32>,
    pub topsoil: Vec<Phase8>,
}

impl PureCustomEngine {
    pub fn new(size: usize, seed: u32) -> Self {
        let mut rng = FastRng::new(seed);
        let total = size * size;
        let bedrock: Vec<f32> = (0..total).map(|_| rng.next_f32() * 0.5).collect();
        let topsoil: Vec<Phase8> = (0..total).map(|_| Phase8::from_field(rng.next_f32() * 2.0)).collect();

        PureCustomEngine { size, bedrock, topsoil }
    }

    /// 표준 라이브러리 std::thread::scope 기반의 순수 멀티코어 병렬 갱신
    pub fn step_native_multithread(&mut self, num_threads: usize) -> f32 {
        let size = self.size;
        let total = size * size;
        let chunk_rows = (size + num_threads - 1) / num_threads;

        let prev_topsoil = &self.topsoil;
        let bedrock = &self.bedrock;

        let (next_topsoil, total_energy) = thread::scope(|s| {
            let mut handles = Vec::with_capacity(num_threads);

            for thread_id in 0..num_threads {
                let start_y = thread_id * chunk_rows;
                let end_y = (start_y + chunk_rows).min(size);

                if start_y >= size {
                    break;
                }

                handles.push(s.spawn(move || {
                    let s_dim = size as i32;
                    let mut local_chunk = Vec::with_capacity((end_y - start_y) * size);
                    let mut local_energy_sum = 0.0f32;

                    for y in start_y..end_y {
                        for x in 0..size {
                            let idx = y * size + x;
                            let u = ((y as i32 - 1 + s_dim) % s_dim * s_dim + x as i32) as usize;
                            let d = ((y as i32 + 1) % s_dim * s_dim + x as i32) as usize;
                            let l = (y as i32 * s_dim + (x as i32 - 1 + s_dim) % s_dim) as usize;
                            let r = (y as i32 * s_dim + (x as i32 + 1) % s_dim) as usize;

                            let neighbor_e = (
                                prev_topsoil[u].to_weight() +
                                prev_topsoil[d].to_weight() +
                                prev_topsoil[l].to_weight() +
                                prev_topsoil[r].to_weight()
                            ) * 0.25;

                            let local_f = neighbor_e + bedrock[idx];
                            local_chunk.push(Phase8::from_field(local_f));
                            local_energy_sum += local_f.abs();
                        }
                    }
                    (local_chunk, local_energy_sum)
                }));
            }

            let mut combined_topsoil = Vec::with_capacity(total);
            let mut total_e = 0.0f32;

            for h in handles {
                let (chunk, e) = h.join().unwrap();
                combined_topsoil.extend(chunk);
                total_e += e;
            }

            (combined_topsoil, total_e)
        });

        self.topsoil = next_topsoil;
        total_energy / (total as f32)
    }
}

fn main() {
    println!("============================================================");
    println!(" ⚡ 외부 라이브러리(Crate) 제로(0): 순수 밑바닥 구현 엔진");
    println!("============================================================\n");

    let grid_size = 512; // 262,144 노드
    let threads = 16;
    println!("⚙️ [순수 자체 구현 스펙] 512x512 (262K 노드) | 자체 Xorshift 난수 | std::thread::scope 멀티스레드 ({}스레드)", threads);

    let mut engine = PureCustomEngine::new(grid_size, 42);

    let total_ticks = 10;
    let start_time = Instant::now();

    for tick in 1..=total_ticks {
        let t_start = Instant::now();
        let avg_e = engine.step_native_multithread(threads);
        let t_elapsed = t_start.elapsed().as_secs_f64() * 1000.0;
        println!("⏱️ [Tick {:02}] 평균 계면 에너지: {:.4} | 소요 시간: {:.2} ms", tick, avg_e, t_elapsed);
    }

    let total_dur = start_time.elapsed().as_secs_f64();
    let total_updates = (grid_size * grid_size * total_ticks) as f64;
    let throughput = (total_updates / total_dur) / 1e6;

    println!("\n============================================================");
    println!(" 📊 순수 자체 구현 벤치마크 결과 (Zero-Dependency)");
    println!("============================================================");
    println!(" ⏱️ 총 연산 시간         : {:.4} 초", total_dur);
    println!(" 🔄 총 갱신 셀 수        : {:.2} Million Cells", total_updates / 1e6);
    println!(" ⚡ 순수 자체 스레드 속도 : {:.2} MCell/sec", throughput);
    println!("============================================================");
}