}
        } else {
            final Trans2FindFirst2 req = new Trans2FindFirst2(tf.getConfig(), "\\", "*", SmbConstants.ATTR_DIRECTORY,
                    tf.getConfig().getListCount(), tf.getConfig().getListSize());
            final Trans2FindFirst2Response resp = new Trans2FindFirst2Response(tf.getConfig());
            try {
                send(req, resp);
            } catch (final SmbException e) {

        }
        throw new ClassCastException();
    }

    /**
     *
     * @param tf
     * @return a session for the context
     */
    @Override
    public SmbSessionImpl getSmbSession(final CIFSContext tf) {
        return getSmbSession(tf, null, null);
    }

    /**
     *
     * @param tf
     *            context to use
     * @return a session for the context
     */
    @Override

    public SmbSession getSmbSession(CIFSContext ctx) {
        return delegate.getSmbSession(ctx);
    }

    @Override
    public SmbSession getSmbSession(CIFSContext tf, String targetHost, String targetDomain) {
        return delegate.getSmbSession(tf, targetHost, targetDomain);
    }

    @Override
    public boolean isSMB2() throws SmbException {
        return delegate.isSMB2();
    }

    @Override

# ==============================================================================
"""
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`.

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
#
# Sets up custom apt sources for our TF images.

# Prevent apt install tzinfo from asking our location (assumes UTC)
export DEBIAN_FRONTEND=noninteractive

# Fetch the NVIDIA key.

  PROFILE_JSON_PATH="$PROFILE_JSON_PATH/profile.json.gz"
else
  PROFILE_JSON_PATH="$TFCI_OUTPUT_DIR/profile.json.gz"
fi

# TODO(b/361369076) Remove the following block after TF NumPy 1 is dropped
# Move hermetic requirement lock files for NumPy 1 to the root
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  cp ./ci/official/requirements_updater/numpy1_requirements/*.txt .
fi

  fun logHandler() =
    ConsoleHandler().apply {
      level = Level.FINE
      formatter =
        object : SimpleFormatter() {
          override fun format(record: LogRecord) = String.format("[%1\$tF %1\$tT] %2\$s %n", record.millis, record.message)
        }
    }

  fun enable(
    loggerClass: String,
    handler: Handler = logHandler(),
  ): Closeable {
    val logger = Logger.getLogger(loggerClass)

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
#
# Sets up custom apt sources for our TF images.

# Prevent apt install tzinfo from asking our location (assumes UTC)
export DEBIAN_FRONTEND=noninteractive

# Set up shared custom sources
apt-get update
apt-get install -y gnupg ca-certificates

    ```

    This will run it using your installed version of TensorFlow. To be sure
    you're running the same code that you're testing:

    *   Use an up to date [tf-nightly](https://pypi.org/project/tf-nightly/)
        `pip install -U tf-nightly`
    *   Rebase your pull request onto a recent pull from
        [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch.

# limitations under the License.
# ==============================================================================
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_IMAGE="gcr.io/tensorflow-testing/tf-win2022@sha256:915cb093630432c38b028f56bd31116a5559ebbc688d427b6092d86828ae03bc"
TFCI_BAZEL_BAZELRC_ARGS="--output_user_root=C:/x"