try {
          Class.forName("org.eclipse.jetty.alpn.ALPN", true, null)
          true
        } catch (cnfe: ClassNotFoundException) {
          false
        }

      val isCorrettoSupported: Boolean =
        try {
          // Trigger an early exception over a fatal error, prefer a RuntimeException over Error.
          Class.forName("com.amazon.corretto.crypto.provider.AmazonCorrettoCryptoProvider")

	return nil
}

func (f *fileInfoNames) Uname() (string, error) {
	return "Uname", nil
}

func (f *fileInfoNames) Gname() (string, error) {
	return "Gname", nil
}

func TestFileInfoHeaderUseFileInfoNames(t *testing.T) {
	info := &fileInfoNames{}
	header, err := FileInfoHeader(info, "")
	if err != nil {
		t.Fatal(err)
	}
	if header.Uname != "Uname" {

public class CoreLibConstants {

    /**
     * UTF-8
     */
    public static final String UTF_8 = "UTF-8";

    /**
     * UTF-8 Charset.
     */
    public static final Charset CHARSET_UTF_8 = Charset.forName(UTF_8);

    /**
     * ISO 8601 basic format: yyyyMMdd'T'HHmmss.SSSZ
     */
    public static final String DATE_FORMAT_ISO_8601_BASIC = "yyyyMMdd'T'HHmmss.SSSZ";

    /**

    private boolean initialized = false;

    @Override
    public boolean isAvailable() {
        try {
            // Check if DiSNI is available on the classpath
            Class.forName("com.ibm.disni.RdmaActiveEndpointGroup");

            // Additional checks could include:
            // - Verifying RDMA devices are available
            // - Testing basic RDMA operations

# ==============================================================================
# Sourcing this enables Bazel remote cache (public, read-only)
# The cache configs are different for MacOS and Linux
if [[ $(uname -s) == "Darwin" ]]; then
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache"
else
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_cache"

# limitations under the License.
# ==============================================================================
# Sourcing this enables local disk cache
if [[ $(uname -s) == "Darwin" ]]; then
  echo "Please note that using disk cache on macOS is not recommended because the"
  echo "cache can end up being pretty big and make the build process inefficient."
fi

    public static final String HOGE = "hoge";

    /**
     * @throws Exception
     */
    @Test(expected = EmptyArgumentException.class)
    public void testForName_EmptyName() throws Exception {
        ClassUtil.forName("");
    }

    /**
     * @throws Exception
     */
    @Test(expected = EmptyArgumentException.class)
    public void testGetField_EmptyName() throws Exception {
        ClassUtil.getField(getClass(), "");

                    }
                    String impl = properties.getProperty(slf4jBinding);
                    if (impl != null) {
                        return (Slf4jConfiguration)
                                Class.forName(impl).getDeclaredConstructor().newInstance();
                    }
                } catch (IOException
                        | ClassNotFoundException
                        | NoSuchMethodException

  # Repackage src/
  jar -cMf "${tmp_dir}/new.jar" src
  popd
  cp "${tmp_dir}/new.jar" "${dest_jar}"
  rm -rf "${tmp_dir}"
}

DIR=$1
mkdir -p "$DIR"
TARBALL_SUFFIX=$2

if [[ $(uname -s) != MSYS_NT* ]]; then
  cp bazel-bin/tensorflow/tools/lib_package/libtensorflow.tar.gz "${DIR}/libtensorflow${TARBALL_SUFFIX}.tar.gz"

fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python_bin=python3
  # TODO(belitskiy): Add a `python3` alias/symlink to Windows Docker image.
  if [[ $(uname -s) = MSYS_NT* ]]; then
    python_bin="python"
  fi
  tfrun "$python_bin" tensorflow/tools/ci_build/update_version.py --nightly
  # replace tensorflow to tf_nightly in the wheel name