charsnowb2d.cpp

#include <deque>
#include <random>
#include <cstdint>
#include <ctime>
#include <cstdlib>
#include <raylib.h>
#include <box2d/box2d.h>

constexpr int TILE_WIDTH = 9;
constexpr int TILE_HEIGHT = 16;
constexpr int WIN_WIDTH = 1000;
constexpr int WIN_HEIGHT = 800;
constexpr float B2D_SCALE_FACTOR = 0.1f;
constexpr float RESTITUTION = 0.05f;
constexpr float SECONDS_PER_SPAWN = 0.1f;
constexpr int MAX_CHARS = 500;

constexpr float WORLD_WIDTH = (float)WIN_WIDTH * B2D_SCALE_FACTOR;
constexpr float WORLD_HEIGHT = (float)WIN_HEIGHT * B2D_SCALE_FACTOR;
constexpr int CHAR_SCALE = 2;
constexpr int DRAW_WIDTH = TILE_WIDTH * CHAR_SCALE;
constexpr int DRAW_HEIGHT = TILE_HEIGHT * CHAR_SCALE;
constexpr float B2D_CHAR_WIDTH = (float)(CHAR_SCALE * TILE_WIDTH) * B2D_SCALE_FACTOR;
constexpr float B2D_CHAR_HEIGHT = (float)(CHAR_SCALE * TILE_HEIGHT) * B2D_SCALE_FACTOR;

const Color palette[16] = {
    {0x00, 0x00, 0x00, 0xFF}, {0x00, 0x00, 0xAA, 0xFF}, {0x00, 0xAA, 0x00, 0xFF}, {0x00, 0xAA, 0xAA, 0xFF},
    {0xAA, 0x00, 0x00, 0xFF}, {0xAA, 0x00, 0xAA, 0xFF}, {0xAA, 0x55, 0x00, 0xFF}, {0xAA, 0xAA, 0xAA, 0xFF},
    {0x55, 0x55, 0x55, 0xFF}, {0x55, 0x55, 0xFF, 0xFF}, {0x55, 0xFF, 0x55, 0xFF}, {0x55, 0xFF, 0xFF, 0XFF},
    {0xFF, 0x55, 0x55, 0xFF}, {0xFF, 0x55, 0xFF, 0xFF}, {0xFF, 0xFF, 0x55, 0xFF}, {0xFF, 0xFF, 0xFF, 0xFF}};

struct FallingChar {
    std::uint8_t ch, attr;
    b2World* world;
    b2Body* body;

    static Texture2D* tileset;

    FallingChar(const FallingChar& other) = delete;

    FallingChar(b2World& world, float x, std::uint8_t ch, std::uint8_t attr = 7) {
        this->world = &world;
        this->ch = ch;
        this->attr = attr;

        b2BodyDef bdef;
        bdef.enabled = bdef.awake = true;
        bdef.type = b2_dynamicBody;
        bdef.position = b2Vec2(x, -B2D_CHAR_HEIGHT);
        body = world.CreateBody(&bdef);

        b2PolygonShape shape;
        shape.SetAsBox(B2D_CHAR_WIDTH/2, B2D_CHAR_HEIGHT/2);
        body->CreateFixture(&shape, 1.0f)->SetRestitution(RESTITUTION);
    }

    void draw() {
        int row = ch / 32;
        int col = ch % 32;
        b2Vec2 pos = body->GetPosition();
        float angle = body->GetAngle() / M_PI * 180.0f;
        Rectangle src{(float)col * TILE_WIDTH, (float)row * TILE_HEIGHT, TILE_WIDTH, TILE_HEIGHT};
        Rectangle dst{pos.x/B2D_SCALE_FACTOR, pos.y/B2D_SCALE_FACTOR, (float)DRAW_WIDTH, (float)DRAW_HEIGHT};
        Color fg = palette[attr & 0xF];
        //Color bg = palette[attr >> 4 & 0x7F];
        //DrawRectanglePro(dst, {(float)DRAW_WIDTH/2, (float)DRAW_HEIGHT/2}, angle, bg);
        DrawTexturePro(*tileset, src, dst, {(float)DRAW_WIDTH/2, (float)DRAW_HEIGHT/2}, angle, fg);
    }

    ~FallingChar() {
        world->DestroyBody(body);
    }
};

Texture2D* FallingChar::tileset;

int main()
{
    float time_since_spawn = 0.0f;
    InitWindow(WIN_WIDTH, WIN_HEIGHT, "Falling Characters");
    SetTargetFPS(60);
    
    Texture2D tileset = LoadTexture("cp437.png");
    FallingChar::tileset = &tileset;

    b2World world(b2Vec2(0.0f, 9.8f));
    std::deque<FallingChar> chars;
    b2PolygonShape poly;
    poly.SetAsBox(WORLD_WIDTH, 1.0f);
    b2BodyDef bdef;
    bdef.enabled = true;
    bdef.type = b2_staticBody;
    bdef.position = b2Vec2(0.0f, WORLD_HEIGHT + 1.0f);
    world.CreateBody(&bdef)->CreateFixture(&poly, 0.0f);

    std::random_device rng;
    std::uniform_real_distribution<float> frng;

    srand((unsigned)time(NULL));

    while (!WindowShouldClose()) {
        float frame_time = GetFrameTime();
        time_since_spawn += frame_time;
        world.Step(frame_time, 50, 50);
        if (time_since_spawn >= SECONDS_PER_SPAWN) {
            float x = frng(rng) * WORLD_WIDTH;
            chars.emplace_back(world, x, rand() % 254 + 1, rand() % 15 + 1);
            if (chars.size() > MAX_CHARS)
                chars.pop_front();
            time_since_spawn = 0.0f;
        }

        BeginDrawing();
        ClearBackground(BLACK);
        for (FallingChar& ch : chars)
            ch.draw();
        EndDrawing();
    }
    
    UnloadTexture(tileset);
    CloseWindow();

    return 0;
}

cp437.png.b64
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==