import com.google.common.testing.TestLogHandler;
import java.util.Map;
import java.util.Map.Entry;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.logging.Level;
import java.util.logging.Logger;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/** Tests for {@link ListenerCallQueue}. */
@NullUnmarked

     */
    @Nonnull
    Map<String, String> systemProperties();

    /**
     * Returns the top-level directory of the Maven invocation.
     * This is typically the directory containing the POM file being executed.
     *
     * @return the top-level directory path
     */
    @Nonnull
    Path topDirectory();

    /**

            if (slf4jLoggerFactory instanceof LogLevelRecorder recorder) {
                LogLevelRecorder.Level level =
                        switch (logLevelThreshold.toLowerCase(Locale.ENGLISH)) {
                            case "warn", "warning" -> LogLevelRecorder.Level.WARN;
                            case "error" -> LogLevelRecorder.Level.ERROR;
                            default ->

//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"os"
)

// RenameSys is low level call in case of non-Linux this just uses os.Rename()
func RenameSys(src, dst string) (err error) {
	return os.Rename(src, dst)

# Build execution model

At the highest level, Gradle's execution model is quite simple:

Below is the protocol in some more detail:

1. The client looks for a compatible idle daemon. If there isn't one, it starts a new daemon.
2. The client connects to the idle daemon and sends it a request to do some work. If the daemon is no longer running, the client starts again.

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""
Top-level module of TensorFlow. By convention, we refer to this module as
`tf` instead of `tensorflow`, following the common practice of importing
TensorFlow via the command `import tensorflow as tf`.

     1. plugin goal execution in a child is usually simply appended (at end): you can't try to insert in the middle of pre-existing inherited executions,

     2. append happens at plugin level first, then goal level, independently from phases.
        This means for example that adding pluginA:goal2 to pre-existing (pluginA:goal1, pluginB:goal) will lead to (pluginA:goal1, pluginA:goal2, pluginB:goal)

     */
    public ExecJob logFilePath(final String logFilePath) {
        this.logFilePath = logFilePath;
        return this;
    }

    /**
     * Sets the log level for this job execution.
     *
     * @param logLevel the log level (e.g., DEBUG, INFO, WARN, ERROR)
     * @return this ExecJob instance for method chaining
     */
    public ExecJob logLevel(final String logLevel) {
        this.logLevel = logLevel;

import okhttp3.Call
import okhttp3.OkHttpClient
import okhttp3.Response
import okhttp3.sse.internal.RealEventSource

object EventSources {
  @Deprecated(
    message = "required for binary-compatibility!",
    level = DeprecationLevel.HIDDEN,
  )
  @JvmStatic
  fun createFactory(client: OkHttpClient) = createFactory(client as Call.Factory)

  @JvmStatic
  fun createFactory(callFactory: Call.Factory): EventSource.Factory =

	207, 151, 211, 146, // message crc.
}

// newErrorMessage - creates new Request Level Error Message. S3 sends this message if the request failed for any reason.
// It contains the error code and error message for the failure. If S3 sends a RequestLevelError message,
// it doesn't send an End message.
//
// Header specification:
// Request-level error messages contain three headers, as follows: