void TF_DeleteServer(TF_Server* server) {
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  delete server;
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
}

void TF_RegisterLogListener(void (*listener)(const char*)) {
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  tensorflow::logging::RegisterListener(listener);
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
}

 */
@ExtendWith(MockitoExtension.class)
class NetbiosAddressTest {

    @Test
    void testConstantValues() {
        // Test that constants are properly defined
        assertEquals("*\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000",
                NbtAddress.ANY_HOSTS_NAME);

  public static final MediaType WEBM_AUDIO = createConstant(AUDIO_TYPE, "webm");

  /**
   * L16 audio, as defined by <a href="https://tools.ietf.org/html/rfc2586">RFC 2586</a>.
   *
   * @since 24.1
   */
  public static final MediaType L16_AUDIO = createConstant(AUDIO_TYPE, "l16");

  /**
   * L24 audio, as defined by <a href="https://tools.ietf.org/html/rfc3190">RFC 3190</a>.
   *
   * @since 20.0
   */

## Overview

MinIO supports two storage classes, Reduced Redundancy class and Standard class. These classes can be defined using environment variables
set before starting MinIO server. After the data and parity drives for each storage class are defined using environment variables,
you can set the storage class of an object via request metadata field `x-amz-storage-class`. MinIO server then honors the storage class by

  }

  /**
   * Returns the number of times {@link Cache} lookup methods have returned either a cached or
   * uncached value. This is defined as {@code hitCount + missCount}.
   *
   * <p><b>Note:</b> the values of the metrics are undefined in case of overflow (though it is
   * guaranteed not to throw an exception). If you require specific handling, we recommend
   * implementing your own stats collector.
   */

   * comes from a data structure supporting efficient indexed random access, typically an array or
   * list.
   *
   * <p>The order of the resulting stream is defined if and only if the order of the original stream
   * was defined.
   */
  public static <T extends @Nullable Object, R extends @Nullable Object> Stream<R> mapWithIndex(
      Stream<T> stream, FunctionWithIndex<? super T, ? extends R> function) {

    class InterfaceMethodContractTest {

        @Test
        @DisplayName("Should define exactly four public methods")
        void shouldDefineExactlyFourPublicMethods() {
            java.lang.reflect.Method[] methods = SmbSession.class.getDeclaredMethods();
            assertEquals(4, methods.length, "SmbSession should define exactly 4 methods");
        }

        @Test

     *
     * The source indicates whether the property is:
     * - Set by Maven itself at startup (SYSTEM_PROPERTIES)
     * - Configured by users through external means like CLI options (USER_PROPERTIES)
     * - Defined in the project's POM file (MODEL)
     *
     * @return the source of the configuration property, defaults to USER_PROPERTIES
     * @see Source for detailed information about each source type and when it's used
     */

# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#

#
# Maven system properties
#
# The properties defined in this file will be made available through
# system properties at the very beginning of Maven's boot process.
#

maven.installation.conf = ${maven.home}/conf
maven.user.conf         = ${user.home}/.m2

    * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
* Validate **complex structures**:
    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.