tf::Taskflow taskflow("Visualization Demo");

// ------------------------------------------------------

// Static Tasking

// ------------------------------------------------------

auto A = taskflow.emplace([] () { std::cout << "Task A\n"; });

auto B = taskflow.emplace([] () { std::cout << "Task B\n"; });

auto C = taskflow.emplace([] () { std::cout << "Task C\n"; });

auto D = taskflow.emplace([] () { std::cout << "Task D\n"; });

auto E = taskflow.emplace([] () { std::cout << "Task E\n"; });

A.precede(B, C, E);

C.precede(D);

B.precede(D, E);

std::cout << "[dump without name assignment]\n";

taskflow.dump(std::cout);

std::cout << "[dump with name assignment]\n";

A.name("A");

B.name("B");

C.name("C");

D.name("D");

E.name("E");

// if the graph contains solely static tasks, you can simpley dump them

// without running the graph

taskflow.dump(std::cout);

// ------------------------------------------------------

// Dynamic Tasking

// ------------------------------------------------------

taskflow.emplace([](tf::Subflow& sf){

sf.emplace([](){ std::cout << "subflow task1"; }).name("s1");

sf.emplace([](){ std::cout << "subflow task2"; }).name("s2");

sf.emplace([](){ std::cout << "subflow task3"; }).name("s3");

});

// in order to visualize subflow tasks, you need to run the taskflow

// to spawn the dynamic tasks first

tf::Executor executor;

executor.run(taskflow).wait();

taskflow.dump(std::cout);

return 0;