protected int textFragmentSuffixLength;

    /** Size of text fragments */
    protected int textFragmentSize;

    /**
     * Initializes the ViewHelper with configuration settings.
     * Sets up highlighting, caching, and other view-related configurations.
     */
    @PostConstruct
    public void init() {
        if (logger.isDebugEnabled()) {
            logger.debug("Initializing {}", this.getClass().getSimpleName());

config_setting(
    name = "no_xla_deps_in_cuda",
    define_values = {"no_xla_deps_in_cuda": "true"},
    visibility = ["//visibility:public"],
)

# Crosses between framework_shared_object and a bunch of other configurations
# due to limitations in nested select() statements.
config_setting(
    name = "framework_shared_object",
    define_values = {"framework_shared_object": "true"},
    visibility = ["//visibility:public"],
)

- Fixed a regression in `kube-proxy` where it might refuse to start if given
  single-stack `IPv6` configuration options on a node that has both `IPv4` and
  `IPv6` IPs. ([#121008](https://github.com/kubernetes/kubernetes/pull/121008), [@danwinship](https://github.com/danwinship))
- Fixed a regression in default configurations, which enabled `PodDisruptionConditions`

container** you will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).

And then you can set those same memory limits and requirements in your configurations for your container management system (for example in **Kubernetes**). That way it will be able to **replicate the containers** in the **available machines** taking into account the amount of memory needed by them, and the amount available in the...

  which is not allowed. ([#121666](https://github.com/kubernetes/kubernetes/pull/121666), [@kerthcet](https://github.com/kerthcet)) [SIG Scheduling]
- Fixes a kube-apiserver log volume regression bug in default 1.27 configurations (introduced in 1.26, activated by the AggregatedDiscoveryEndpoint feature enablement in 1.27) ([#122074](https://github.com/kubernetes/kubernetes/pull/122074), [@ritazh](https://github.com/ritazh)) [SIG API Machinery]

            props.setProperty("jcifs.smb.client.responseTimeout", "30000");
            props.setProperty("jcifs.smb.client.soTimeout", "35000");

            // Create a new configuration and context
            Configuration config = new PropertyConfiguration(props);
            BaseContext baseContext = new BaseContext(config);

            // Create fresh authentication

common --action_env=GRPC_BAZEL_RUNTIME=1
common --repo_env=PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=upb
common --action_env=PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=upb
# Some targets have the same py source file, but use different
# configurations via `requires-` tags. This results in an action
# conflict when precompiling. Disable to avoid that problem.
# See https://github.com/bazel-contrib/rules_python/issues/2445

			lc, err := ParseLifecycleConfig(bytes.NewReader([]byte(tc.inputConfig)))
			if err != nil {
				t.Fatalf("Got unexpected error: %v", err)
			}
			// To ensure input lifecycle configurations are valid
			if err := lc.Validate(lock.Retention{}); err != nil {
				t.Fatalf("Invalid test case: %d %v", i+1, err)
			}
			if got := lc.HasActiveRules(tc.prefix); got != tc.want {

Kubelet supports 100 pods per node with 4x reduced system overhead.
  * <strong>Simplified application deployment and management. </strong>
     * Dynamic Configuration (ConfigMap API in the core API group) enables application
configuration to be stored as a Kubernetes API object and pulled dynamically on
container startup, as an alternative to baking in command-line flags when a
container is built.

 * shares the same connection pool, thread pools, and configuration. Use the builder methods to
 * add configuration to the derived client for a specific purpose.
 *
 * This example shows the single instance with default configurations.
 *
 * ```java
 * public final OkHttpClient client = new OkHttpClient.Builder()
 *     .readTimeout(1000, TimeUnit.MILLISECONDS)