}
}

// Tests user agent string.
func TestUserAgent(t *testing.T) {
	testCases := []struct {
		envName     string
		envValue    string
		mode        string
		expectedStr string
	}{
		{
			envName:     "",
			envValue:    "",
			mode:        globalMinioModeFS,

TensorFlow process effectively executes arbitrary code.

The risk of loading untrusted checkpoints depends on the code or graph that you
are working with. When loading untrusted checkpoints, the values of the traced
variables from your model are also going to be untrusted. That means that if
your code interacts with the filesystem, network, etc. and uses checkpointed

        "fe012443-6ba9-4ef2-bb94-b729d2060c78/...

// syscall.ENOENT (parent does not exist).
func reliableMkdirAll(dirPath string, mode os.FileMode, baseDir string) (err error) {
	i := 0
	for {
		// Creates all the parent directories, with mode 0777 mkdir honors system umask.
		if err = osMkdirAll(dirPath, mode, baseDir); err != nil {
			// Retry only for the first retryable error.
			if osIsNotExist(err) && i == 0 {
				i++

	if lhold.Status.Valid() && lhold.Status == objlock.LegalHoldOn {
		return true
	}

	ret := objlock.GetObjectRetentionMeta(obj.UserDefined)
	if ret.Mode.Valid() && (ret.Mode == objlock.RetCompliance || ret.Mode == objlock.RetGovernance) {
		t, err := objlock.UTCNowNTP()
		if err != nil {
			// it is safe to assume that the object is locked when
			// we can't get the current time
			return true
		}

import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Level;
import org.openjdk.jmh.annotations.Measurement;
import org.openjdk.jmh.annotations.Mode;
import org.openjdk.jmh.annotations.OutputTimeUnit;
import org.openjdk.jmh.annotations.Scope;
import org.openjdk.jmh.annotations.Setup;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.annotations.Warmup;

        create<Remote>("Daemon debug (port 5005)") {
            mode = Remote.RemoteMode.LISTEN
            transport = Remote.RemoteTransport.SOCKET
            sharedMemoryAddress = "javadebug"
            host = "localhost"
            port = 5005
            autoRestart = true
        }
        create<Remote>("Launcher debug (port 5006)") {
            mode = Remote.RemoteMode.LISTEN

# The RBE machine itself has older kernel mode driver, and it requires
# nvidia driver to be installed.
nvidia-driver-580-open
# TODO(b/445248346): The Docker image shouldn't have cuda-compat installed.
# However, hermetic CUDA forward-compatibility mode is still missing some
# libraries.

  _logging.warning("""

  TensorFlow's `tf-nightly` package will soon be updated to TensorFlow 2.0.

  Please upgrade your code to TensorFlow 2.0:
    * https://www.tensorflow.org/guide/migrate

  Or install the latest stable TensorFlow 1.X release:
    * `pip install -U "tensorflow==1.*"`

  Otherwise your code may be broken by the change.

  """)

# Make sure directory containing top level submodules is in

    KILL_ALL_GRADLE_PROCESSES,
}

fun BuildSteps.killProcessStep(
    buildType: BuildType?,
    mode: KillProcessMode,
    os: Os,
    arch: Arch = Arch.AMD64,
    executionMode: BuildStep.ExecutionMode = BuildStep.ExecutionMode.DEFAULT,
) {
    script {
        name = mode.toString()
        this.executionMode = executionMode
        scriptContent =
            "\"${
                javaHome(