import org.junit.Test;

/**
 * @author shinsuke
 *
 */
public class ThreadUtilTest {

    /**
     * @throws Exception
     */
    @Test
    public void test_sleep() throws Exception {
        ThreadUtil.sleep(1L);
        assertTrue(true);
        ThreadUtil.sleepQuietly(1L);
    }

    /**
     * @throws Exception
     */
    @Test

go test -o=$WORK/x.test -cpuprofile=$WORK/cpu_profile_twice.out x
exists $WORK/cpu_profile_twice.out


-- x/x_test.go --
package x_test
import (
    "testing"
    "time"
)
func TestSleep(t *testing.T) {
    time.Sleep(10 * time.Millisecond)

stdout '^panic: test timed out'
grep . cpu.pprof
grep . mem.pprof

-- go.mod --
module profiling

go 1.16
-- timeout_test.go --
package timeouttest_test

import (
	"testing"
	"time"
)

func TestSleep(t *testing.T) {
	for {
		time.Sleep(1 * time.Second)
	}

func interrupt() {
	// There is no mechanism in wasi to interrupt the call to poll_oneoff
	// used to implement runtime.usleep so this function does nothing, which
	// somewhat defeats the purpose of TestSleep but we are still better off
	// validating that time elapses when the process calls time.Sleep than
	// skipping the test altogether.
	if runtime.GOOS != "wasip1" {
		syscall.Kill(syscall.Getpid(), syscall.SIGCHLD)
	}
}

	switch runtime.GOOS {
	case "windows":
		return delay - 17*Millisecond
	default:
		t.Fatal("adjustDelay unimplemented on " + runtime.GOOS)
		return 0
	}
}

func TestSleep(t *testing.T) {
	const delay = 100 * Millisecond
	go func() {
		Sleep(delay / 2)
		Interrupt()
	}()
	start := Now()
	Sleep(delay)
	delayadj := adjustDelay(t, delay)
	duration := Since(start)

        `(batch_size, 1)`. This enables `Model` subclasses to process scalar
        data in their `train_step()`/`test_step()`/`predict_step()` methods. \
        Note that this change may break certain subclassed models. You can
        revert back to the previous behavior by adding upranking yourself in the
        `train_step()`/`test_step()`/`predict_step()` methods, e.g. `if
        x.shape.rank == 1: x = tf.expand_dims(x, axis=-1)`. Functional models as