# Test security scheme at the top level, including OpenAPI
# Ref: https://github.com/fastapi/fastapi/discussions/14263
# Ref: https://github.com/fastapi/fastapi/issues/14271
from fastapi import Depends, FastAPI
from fastapi.security import HTTPBearer
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

app = FastAPI()

bearer_scheme = HTTPBearer()


@app.get("/", dependencies=[Depends(bearer_scheme)])

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

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 ->

TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=devel ci/official/containers/ml_build"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-x86_64"
TFCI_OUTPUT_DIR=build_output
TFCI_WHL_AUDIT_ENABLE=1
TFCI_WHL_AUDIT_PLAT=manylinux_2_27_x86_64
TFCI_WHL_BAZEL_TEST_ENABLE=1

//
// 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`.

     */
    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;