return newBuilder().strong().build();
  }

  /**
   * Returns a new thread-safe interner which retains a weak reference to each instance it has
   * interned, and so does not prevent these instances from being garbage-collected. This most
   * likely does not perform as well as {@link #newStrongInterner}, but is the best alternative when
   * the memory usage of that implementation is unacceptable.
   */

build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3"
build --python_path="/usr/local/bin/python3"

# Build TensorFlow v2
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

# Prevent double-compilation of some TF code, ref. b/183279666 (internal)
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code
# > on the host machine. If we don't have --distinct_host_configuration=false,

        // Read capabilities declared in capabilities.json
        readCapabilitiesFromJson()

        withModule<ReplaceCglibNodepWithCglibRule>("org.spockframework:spock-core")
        // Prevent Spock from pulling in Groovy and third-party dependencies - see https://github.com/spockframework/spock/issues/899
        withLibraryDependencies<DependencyRemovalByNameRule>(
            "org.spockframework:spock-core",

Mais avant ça, gérer du code asynchrone était bien plus complexe et difficile.

Dans les versions précédentes de Python, vous auriez utilisé des *threads* ou <a href="https://www.gevent.org/" class="external-link" target="_blank">Gevent</a>.  Mais le code aurait été bien plus difficile à comprendre, débugger, et concevoir.

   * Invoked to request the service to stop.
   *
   * <p>By default this method does nothing.
   *
   * <p>Currently, this method is invoked while holding a lock. If an implementation of this method
   * blocks, it can prevent this service from changing state. If you need to performing a blocking
   * operation in order to trigger shutdown, consider instead registering a listener and

		fmt.Println(scanner.Text()) // Println will add back the final '\n'
	}
	if err := scanner.Err(); err != nil {
		fmt.Fprintln(os.Stderr, "reading standard input:", err)
	}
}

// Return the most recent call to Scan as a []byte.
func ExampleScanner_Bytes() {
	scanner := bufio.NewScanner(strings.NewReader("gopher"))
	for scanner.Scan() {
		fmt.Println(len(scanner.Bytes()) == 6)
	}
	if err := scanner.Err(); err != nil {

# Build TensorFlow v2
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

# Use lld as the linker
build --linkopt="-fuse-ld=lld"
build --linkopt="-lm"
build --linkopt="-Wl,--undefined-version"

# Prevent double-compilation of some TF code, ref. b/183279666 (internal)
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code
# > on the host machine. If we don't have --distinct_host_configuration=false,

 * text is performed automatically by the relevant parser.
 *
 * <p>For example, an XML escaper would convert the literal string {@code "Foo<Bar>"} into {@code
 * "Foo&lt;Bar&gt;"} to prevent {@code "<Bar>"} from being confused with an XML tag. When the
 * resulting XML document is parsed, the parser API will return this text as the original literal
 * string {@code "Foo<Bar>"}.
 *

func (l *UDSLogger) handleLog(w http.ResponseWriter, req *http.Request) {
	if req.Body == nil {
		return
	}
	defer req.Body.Close()
	data, err := io.ReadAll(req.Body)
	if err != nil {
		log.Errorf("Failed to read log report from cni plugin: %v", err)
		return
	}
	l.processLog(data)
}

func (l *UDSLogger) processLog(body []byte) {
	cniLogs := make([]string, 0)
	err := json.Unmarshal(body, &cniLogs)
	if err != nil {

    return newBuilder().strong().build();
  }

  /**
   * Returns a new thread-safe interner which retains a weak reference to each instance it has
   * interned, and so does not prevent these instances from being garbage-collected. This most
   * likely does not perform as well as {@link #newStrongInterner}, but is the best alternative when
   * the memory usage of that implementation is unacceptable.
   */