AtomicInteger count = new AtomicInteger();
    Exception e = new IllegalStateException("exception to trigger failure on first load()");
    CacheLoader<Integer, String> failOnceFunction =
        new CacheLoader<Integer, String>() {

          @Override
          public String load(Integer key) throws Exception {
            if (count.getAndIncrement() == 0) {
              throw e;
            }

        updateConfigListenerMap.put("PathMapping", () -> Integer.toString(ComponentUtil.getPathMappingHelper().load()));
        updateConfigListenerMap.put("RelatedContent", () -> Integer.toString(ComponentUtil.getRelatedContentHelper().load()));
        updateConfigListenerMap.put("RelatedQuery", () -> Integer.toString(ComponentUtil.getRelatedQueryHelper().load()));

    AtomicInteger loadAllCount = new AtomicInteger();

    CacheLoader<Object, Object> baseLoader =
        new CacheLoader<Object, Object>() {
          @Override
          public Object load(Object key) {
            loadCount.incrementAndGet();
            return new Object();
          }

          @Override
          public ListenableFuture<Object> reload(Object key, Object oldValue) {

        CommonPoolUtil.execute(this::load);
    }

    /**
     * Wait for the next reloading.
     */
    protected void waitForNext() {
        if (reloadInterval > 0) {
            ThreadUtil.sleep(reloadInterval);
        }
    }

    /**
     * Load the configuration.
     * @return The number of loaded configurations.
     */
    public abstract int load();

    /**

# lazy loading.
_current_module.compat.v2  # pylint: disable=pointless-statement

# Load tensorflow-io-gcs-filesystem if enabled
if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or
    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (

import org.jetbrains.kotlin.gradle.dsl.KotlinVersion
import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
import org.jetbrains.kotlin.load.java.JavaTypeEnhancementState
import org.jetbrains.kotlin.load.java.Jsr305Settings
import org.jetbrains.kotlin.load.java.ReportLevel


fun KotlinCompile.configureKotlinCompilerForGradleBuild() {
    compilerOptions {
        allWarningsAsErrors = true

# Description:
# C API for TensorFlow, for use by client language bindings.

load("@bazel_skylib//lib:selects.bzl", "selects")
load("@local_config_tensorrt//:build_defs.bzl", "if_tensorrt")
load("@local_xla//xla/tsl/platform:build_config_root.bzl", "if_pywrap")
load("@local_xla//xla/tsl/platform:rules_cc.bzl", "cc_library")
load(
    "//tensorflow:tensorflow.bzl",
    "check_deps",
    "if_google",
    "if_not_mobile",
    "tf_cc_test",

     */
    @PostConstruct
    public void init() {
        if (logger.isDebugEnabled()) {
            logger.debug("Initializing {}", this.getClass().getSimpleName());
        }
        load();
    }

    @Override
    public int load() {
        final List<String> ptList = getProcessTypeList();

        try {
            final PathMappingBhv pathMappingBhv = ComponentUtil.getComponent(PathMappingBhv.class);

            }
        }
    }

    /**
     * Load the <code>Config</code> with properties from the stream
     * <code>in</code> from a <code>Properties</code> file.
     *
     * @param in the input stream to load properties from
     * @throws IOException if an I/O error occurs
     */

    public static void load(final InputStream in) throws IOException {
        if (in != null) {

* worker processes: worker processes (do not translate to "procesos trabajadores" or "procesos de trabajo")
* worker: worker (do not translate to "trabajador")
* load balancer: load balancer (do not translate to "balanceador de carga")
* load balance: load balance (do not translate to "balancear carga")
* self hosting: self hosting (do not translate to "auto alojamiento")