// a different TFE context for each thread of execution (for running graph
  // functions, and their send/recvs corountines).
  config.set_inter_op_parallelism_threads(1);

  TF_Buffer* ret = TF_NewBuffer();
  TF_CHECK_OK(MessageToBuffer(config, ret));
  return ret;
}

TF_Buffer* TF_CreateRunOptions(unsigned char enable_full_trace) {
  tensorflow::RunOptions options;
  if (enable_full_trace) {

    Function<? super Integer, Boolean> h = Functions.constant(Boolean.TRUE);
    Function<? super String, Integer> g = new HashCodeFunction();
    Function<Float, String> f = Functions.forMap(m, "F");

    Function<Float, Boolean> c1 = Functions.compose(Functions.compose(h, g), f);
    Function<Float, Boolean> c2 = Functions.compose(h, Functions.compose(g, f));

    // Might be nice (eventually) to have:

  final HashFunction[] functions;

  AbstractCompositeHashFunction(HashFunction... functions) {
    for (HashFunction function : functions) {
      checkNotNull(function);
    }
    this.functions = functions;
  }

  /**
   * Constructs a {@code HashCode} from the {@code Hasher} objects of the functions. Each of them

  final HashFunction[] functions;

  AbstractCompositeHashFunction(HashFunction... functions) {
    for (HashFunction function : functions) {
      checkNotNull(function);
    }
    this.functions = functions;
  }

  /**
   * Constructs a {@code HashCode} from the {@code Hasher} objects of the functions. Each of them

// Package unusedresult defines an analyzer that checks for unused
// results of calls to certain pure functions.
//
// # Analyzer unusedresult
//
// unusedresult: check for unused results of calls to some functions
//
// Some functions like fmt.Errorf return a result and have no side
// effects, so it is always a mistake to discard the result. Other
// functions may return an error that must not be ignored, or a cleanup

// TODO(sukritiramesh): Increase run iterations and move outside of the test
// suite.
TEST_F(LoaderTest, ResourceLeakTest) {
  SavedModelBundle bundle;
  SessionOptions session_options;
  RunOptions run_options;

  const string export_dir =
      io::JoinPath(testing::TensorFlowSrcRoot(), kTestDataSharded);
  for (int i = 0; i < 100; ++i) {
    TF_ASSERT_OK(LoadSavedModel(session_options, run_options, export_dir,

                Map.of("_default", List.of("QUERY1")),...

func.func @main() {
  ^bb:
    cf.br ^bb1
  ^bb1:
    func.return
}

// CHECK: functions must be of a single Graph with single op Islands: only single block functions are supported

// -----

// Tests invalid functions for exporting to Graph/GraphDef.

func.func @main() {
  func.return
}

// CHECK: functions must be of a single Graph with single op Islands: first op in function is not a tf_executor.graph

Let's look at how we can make that work.

## pytest.mark.anyio

If we want to call asynchronous functions in our tests, our test functions have to be asynchronous. AnyIO provides a neat plugin for this, that allows us to specify that some test functions are to be called asynchronously.

## HTTPX

Even if your **FastAPI** application uses normal `def` functions instead of `async def`, it is still an `async` application underneath.

	}

	if installAction != nil {
		if runAction != installAction {
			installAction.Deps = append(installAction.Deps, runAction)
		}
		if cleanAction != nil {
			cleanAction.Deps = append(cleanAction.Deps, installAction)
		}
	}

	return buildAction, runAction, printAction, nil
}

func addTestVet(b *work.Builder, p *load.Package, runAction, installAction *work.Action) {
	if testVet.off {