def METHOD_NAME():
    random_img_idx = np.asarray(
        [random(0, 2).to(int).value() for _ in range(200)]
    ).reshape((200, 1))
    random_box_idx = np.asarray(
        [random(0, 64 * 64).to(float).value() for _ in range(400)]
    ).reshape((200, 2))
    def get_h_w(idx1, idx2):
        if idx1 > idx2:
            idx1, idx2 = idx2, idx1
        h1 = idx1 // 64
        w1 = idx1 % 64
        h2 = idx2 // 64
        w2 = idx2 % 64
        return [x / 2 for x in [h1, w1, h2, w2]]
    zipped = zip(random_box_idx[:, 0], random_box_idx[:, 1])
    concated = [get_h_w(idx1, idx2) for (idx1, idx2) in zipped]
    concated = np.array(concated)
    rois = np.hstack((random_img_idx, concated)).astype(np.float32)
    return rois