AnnotatedBindingBuilder<Object> binder = bind(itf);
                        if (key.getQualifier() instanceof String s) {
                            binder.annotatedWith(Names.named(s));
                        } else if (key.getQualifier() instanceof Annotation a) {
                            binder.annotatedWith(a);
                        }
                        binder.toProvider(() -> injector.getInstance(clazz));

        this.hidden = hidden;
    }

    public void notifyFired(RuleBinder binder) {
        assert binder.isBound() : "RuleBinder must be in a bound state";
        for (ModelBinding inputBinding : binder.getInputBindings()) {
            ModelNodeInternal node = inputBinding.getNode();
            if (dependencies == null) {
                dependencies = new HashSet<>();
            }
            dependencies.add(node);

A linker command line flag `-checklinkname=0` can be used to disable
this check, for debugging and experimenting purposes.

<!-- CL 473495 -->
When building a dynamically linked ELF binary (including PIE binary), the

        def binDir = jdkHome.createDir("bin")
        binDir.createFile(OperatingSystem.current().getExecutableName("java"))
        return jdkHome
    }

    private TestFile createJreInstallation(String version) {
        def jdkHome = temporaryFolder.createDir("jdk-$version")
        def jreHome = jdkHome.file("jre").createDir()
        def binDir = jreHome.createDir("bin")

// for each version in the bundledVersions list.
func validateBundledVersions(bundledVersions SupportedVersions, binDir string) error {
	for _, v := range bundledVersions {
		for _, binaryName := range []string{"etcd", "etcdctl"} {
			fn := filepath.Join(binDir, fmt.Sprintf("%s-%s", binaryName, v))
			if _, err := os.Stat(fn); err != nil {

    This op loads a variable tensor as an IFRT array and binds it with the specified name.

    This op is an replacement of `tf.ReadVariableOp` in the case that a constant
    variable tensor is an input to the tpu program invoked by `tf.IfrtCall`.

    After a `tf.ReadVariableOp` is lowered into `tf.IfrtLoadVariableOp`, the `tf.IfrtCall` kernel
    will bind the loaded IFRT array by name with the tpu program's input.

        supportedPropertyTypes()
        groovyCodecs()
        bind(ExternalizableCodec)

        bind(RegularFileCodec(fileFactory))
        bind(DirectoryCodec(fileFactory))

        bind(LoggerCodec)
        bind(ProxyCodec)

        bind(ServicesCodec)

        bind(JavaObjectSerializationCodec(javaSerializationEncodingLookup))
        bind(BeanCodec)
    }.build()

    private

    bind(unsupported<Gradle>())
    bind(unsupported<Settings>())
    bind(unsupported<Project>())
    bind(unsupported<IsolatedProject>())
    bind(unsupported<TaskContainer>())
    bind(unsupported<TaskDependency>())
    bind(unsupported<SourceSetContainer>())
    bind(unsupported<SourceSet>())

    // Dependency Resolution Types
    bind(unsupported<ConfigurationContainer>())

    inline fun <reified T> bind(codec: Codec<T>) =
        bind(T::class.java, codec)

    inline fun <reified T> bind(serializer: Serializer<T>) =
        bind(T::class.java, serializer)

    fun bind(type: KClass<*>, codec: Codec<*>) =
        bind(type.java, codec)

    fun bind(type: KClass<*>, serializer: Serializer<*>) =
        bind(type.java, serializer)

// under the procfs, /proc/<pid>/ns/net. In majority of cases, this is not used directly, but is rather bind mounted to
// /var/run/netns/<name>. However, this pattern is not ubiquitous. Some platforms bind mount to other places. As we run
// in a pod, we cannot just access any arbitrary file they happen to bind mount in, as we don't know ahead of time where
// it might be.
//
// Instead, we rely directly on the procfs.