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259 lines
6.0 KiB
259 lines
6.0 KiB
#include <cl2.hpp>
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#include <NSWrapper.hpp>
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#include <NSGLWrapper.hpp>
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#include <png.hpp>
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#include <moggle/core/gl.hpp>
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#include <moggle/core/shader.hpp>
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#include <moggle/core/vao.hpp>
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#include <moggle/core/vbo.hpp>
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#include <OpenGL/OpenGL.h>
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#include <OpenGL/CGLDevice.h>
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#include <OpenCL/opencl.h>
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#include <vector>
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#include <iostream>
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#include <fstream>
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#include <cassert>
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#include <memory>
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using namespace std;
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std::string slurp(std::string file_name){
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std::ifstream f(file_name);
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if (!f) throw std::runtime_error(std::string("Unable to open file: ") + file_name);
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return {std::istreambuf_iterator<char>(f), std::istreambuf_iterator<char>()};
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}
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struct Vertex{
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moggle::vector3<GLfloat> position;
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moggle::vector2<GLfloat> tex_coord;
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};
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const Vertex quad[] = {
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// x y z u v
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{{ 1, -1, 0}, {1, 0}},
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{{-1, -1, 0}, {0, 0}},
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{{ 1, 1, 0}, {1, 1}},
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{{-1, 1, 0}, {0, 1}}
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};
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struct App {
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moggle::shader_program program;
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moggle::vao v;
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moggle::vbo<Vertex> quad_vbo;
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// ptrs to postpone construction, should clean this up
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unique_ptr<cl::Context> cl_context;
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unique_ptr<cl::ImageGL> cl_image;
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float time = 0;
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GLuint gl_texture = 0;
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size_t W = 128;
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size_t H = 128;
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enum {
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POS_ATTR,
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TEX_ATTR
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};
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void load_shader(){
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auto vs = moggle::shader::from_file(moggle::shader_type::vertex, "Fractal.vsh");
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auto fs = moggle::shader::from_file(moggle::shader_type::fragment, "Fractal.fsh");
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program.attach(vs);
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program.attach(fs);
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program.bind_attribute(POS_ATTR, "position");
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program.bind_attribute(TEX_ATTR, "tex_coord");
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program.link();
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}
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void create_vao(){
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v.bind();
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quad_vbo.bind(GL_ARRAY_BUFFER);
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quad_vbo.data(quad);
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moggle::gl::enable_vertex_attribute_array(POS_ATTR);
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moggle::gl::enable_vertex_attribute_array(TEX_ATTR);
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v.attribute(POS_ATTR, quad_vbo, &Vertex::position);
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v.attribute(TEX_ATTR, quad_vbo, &Vertex::tex_coord);
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}
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GLuint create_texture(){
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std::vector<GLubyte> data(4*W*H);
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for(int i = 0; i < data.size(); i += 4){
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data[i+0] = 255 * i / (W-1);
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data[i+1] = 127;
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data[i+2] = 0;
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data[i+3] = 255;
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}
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GLuint tex = 0;
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moggle::gl::active_texture(GL_TEXTURE0);
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moggle::gl::generate_textures(1, &tex);
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moggle::gl::bind_texture(GL_TEXTURE_2D, tex);
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moggle::gl::texture_image_2d(GL_TEXTURE_2D, 0, GL_RGBA, W, H, 0, GL_RGBA, GL_UNSIGNED_BYTE, data.data());
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moggle::gl::texture_parameter_i(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
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moggle::gl::texture_parameter_i(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
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return tex;
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}
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void initialize(GLContext & gl_context){
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// Fractal part
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load_shader();
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create_vao();
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// create a texture for opencl
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gl_texture = create_texture();
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// share the bitch
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CGLShareGroupObj sharegroup = CGLGetShareGroup(gl_context.ctx);
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cl_int err = 0;
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cl_context_properties properties[] = { CL_CONTEXT_PROPERTY_USE_CGL_SHAREGROUP_APPLE, (cl_context_properties)sharegroup, 0 };
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cl_context = make_unique<cl::Context>(CL_DEVICE_TYPE_CPU, properties, nullptr, nullptr, &err);
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cl::checky(err);
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auto cl_device = cl_context->getInfo<CL_CONTEXT_DEVICES>().front();
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// obtain cl memory object
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cl_image = make_unique<cl::ImageGL>(*cl_context, CL_MEM_WRITE_ONLY, GL_TEXTURE_2D, 0, gl_texture, &err);
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cl::checky(err);
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std::cout << *cl_image << std::endl; // sanity check
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// build the program
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auto KernelSource = slurp("Kernel.cl");
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cl::Program program(*cl_context, {KernelSource.c_str(), KernelSource.size()}, true, &err);
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cout << program.getBuildInfo<CL_PROGRAM_BUILD_LOG>(cl_device) << std::endl;
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cl::checky(err);
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cout << program << endl;
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// grab the kernel
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KernelOp kernel(program, "initialize", &err);
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cl::checky(err);
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// create a queue (for the first device)
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cl::CommandQueue queue(*cl_context, cl_device);
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cl::checky(kernel(queue, W, H, W, H, *cl_image));
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cl::checky(queue.flush());
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}
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void draw(){
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time += 1/60.0f;
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moggle::gl::clear_color(0.65f, 0.65f, 0.65f, 1.0f);
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moggle::gl::clear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT);
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program.use();
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moggle::gl::bind_texture(GL_TEXTURE_2D, gl_texture);
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program.uniform<GLint>("tex").set(0);
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v.bind();
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moggle::gl::draw_arrays(GL_TRIANGLE_STRIP, 0, 4);
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}
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};
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struct CLApp {
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void initialize(){
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auto context = cl::Context::getDefault();
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cout << context << endl;
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cl_int err = 0;
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// build the program
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auto KernelSource = slurp("Kernel.cl");
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cl::Program program(context, {KernelSource.c_str(), KernelSource.size()}, true, &err);
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check(err);
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cout << program << endl;
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// grab the kernel
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KernelOp kernel(program, "square", &err);
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check(err);
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// create a queue
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cl::CommandQueue queue(context, context.getInfo<CL_CONTEXT_DEVICES>().front());
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// make a lot of data
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constexpr size_t W = 512;
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constexpr size_t H = 512;
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std::vector<cl_float> input_vector(W*H);
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for(int y = 0; y < H; ++y){
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for(int x = 0; x < W; ++x){
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input_vector[x + W*y] = 10 * ((x / double(W) - 0.5) + 1.3371337*(y / double(H) - 0.5));
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}
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}
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// transfer data into buffers
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cl::Buffer input(context, input_vector.begin(), input_vector.end(), false, true);
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int r = 10, g = 10, b = 10;
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// DO IT (in place)
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for(int i = 0; i < r; ++i){
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check(kernel(queue, W, H, input, W, input));
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}
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// read back
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queue.finish();
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auto red = input_vector;
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// DO IT (in place)
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for(int i = 0; i < g; ++i){
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check(kernel(queue, W, H, input, W, input));
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}
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// read back
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queue.finish();
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auto green = input_vector;
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// DO IT (in place)
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for(int i = 0; i < b; ++i){
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check(kernel(queue, W, H, input, W, input));
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}
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// read back
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queue.finish();
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auto& blue = input_vector;
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// test
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cout << "opencl is done" << endl;
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png::ostream<> image(W, H, "test.png");
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for(int i = 0; i < red.size(); ++i){
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image << png::ostream<>::pixel(blue[i], red[i], green[i]);
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}
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cout << "png is saved" << endl;
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}
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};
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int main() {
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App a;
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CLApp b;
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NSAppWrapper app;
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app.create_window({
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[&](ContextParameters ctxp){
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//b.initialize();
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a.initialize(ctxp.context);
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},
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[&](ContextParameters){
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a.draw();
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},
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nullptr
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});
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app.run();
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}
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