Function test_embeddings

tests/test_embed.cpp:11–44

static const char* g_assets_path = std::getenv("CACTUS_TEST_ASSETS");

bool test_embeddings() {
    std::cout << "\n╔══════════════════════════════════════════╗\n"
              << "║          EMBEDDINGS TEST                 ║\n"
              << "╚══════════════════════════════════════════╝\n";

    cactus_model_t model = cactus_init(g_model_path, nullptr, false);
    if (!model) return false;

    const char* texts[] = {"My name is Henry Ndubuaku", "Your name is Henry Ndubuaku"};
    std::vector<float> emb1(2048), emb2(2048);
    size_t dim1, dim2;

    Timer t1;
    cactus_embed(model, texts[0], emb1.data(), emb1.size() * sizeof(float), &dim1, true);
    double time1 = t1.elapsed_ms();

    Timer t2;
    cactus_embed(model, texts[1], emb2.data(), emb2.size() * sizeof(float), &dim2, true);
    double time2 = t2.elapsed_ms();

    float similarity = 0;
    for (size_t i = 0; i < dim1; ++i) {
        similarity += emb1[i] * emb2[i];
    }

    std::cout << "\n[Results]\n"
              << "├─ Embedding dim: " << dim1 << "\n"
              << "├─ Time (text1): " << std::fixed << std::setprecision(2) << time1 << "ms\n"
              << "├─ Time (text2): " << time2 << "ms\n"
              << "└─ Similarity: " << std::setprecision(4) << similarity << std::endl;

    cactus_destroy(model);
    return true;
}

static bool test_image_embeddings() {
    std::cout << "\n╔══════════════════════════════════════════╗\n"