.reduce(false, Boolean::logicalOr);

        hasChanges |= profileChanges;

        return hasChanges;
    }

    /**
     * Applies dependency inference redundancy optimizations.
     * Removes redundant groupId/version from regular dependencies that can be inferred from project artifacts.
     */
    private boolean applyDependencyInferenceRedundancy(

 * bucket the two URLs separately. This harms URI's usefulness in collections. Any application that
 * stores information-per-URL will need to either canonicalize manually, or suffer unnecessary
 * redundancy for such URLs.
 *
 * Because they don't attempt canonical form, these classes are surprisingly difficult to use
 * securely. Suppose you're building a webservice that checks that incoming paths are prefixed

- Simplied validation error message for invalid fields by removing redundant field name. ([#132513](https://github.com/kubernetes/kubernetes/pull/132513), [@xiaoweim](https://github.com/xiaoweim)) [SIG API Machinery, Apps, Auth, Node and Scheduling]

    /**
     * Attests that the expected values must not just be present but must be present in the order
     * they were given.
     */
    void inOrder();
  }

  @IgnoreJRERequirement // *should* be redundant with the annotation on SpliteratorTester
  private abstract static class GeneralSpliterator<E extends @Nullable Object> {
    final Spliterator<E> spliterator;

    GeneralSpliterator(Spliterator<E> spliterator) {

We utilize nullness annotations in Java code and somewhat rely on IDE warnings to guide us.
However, the Java code we have is not fully annotated, which causes several consequences:
* IDE warnings can be misleading
* Redundant null checks may increase binary size, hurt performance, and increase cognitive load for readers
* Missing null checks may cause NullPointerException
* Bridging with Kotlin code is polluted with platform types

 * If a plugin version is defined via a property, the property value is updated instead.
 *
 * <h3>Inference Optimizations (Optional)</h3>
 * When {@code --infer} option is enabled, applies inference optimizations to remove redundant information:
 *
 * <h4>Limited Inference for 4.0.0 Models (Maven 3.x POMs)</h4>
 * <ul>
 *   <li><strong>Child GroupId Removal</strong>: Removes child {@code <groupId>} when it matches parent groupId</li>

   *
   * <ul>
   *   <li>{@linkplain LoadingCache#get(Object) awaiting the result of a pending load} rather than
   *       starting a redundant one
   *   <li>eliminating the error-prone caching boilerplate
   *   <li>tracking load {@linkplain #stats statistics}
   * </ul>
   *

        return CacheStrategy(request, null)
      }

      // If this response shouldn't have been stored, it should never be used as a response source.
      // This check should be redundant as long as the persistence store is well-behaved and the
      // rules are constant.
      if (!isCacheable(cacheResponse, request)) {
        return CacheStrategy(request, null)
      }

problems. If your service has multiple IP addresses, OkHttp will attempt alternate addresses if the
first connect fails. This is necessary for IPv4+IPv6 and services hosted in redundant data
centers. OkHttp supports modern TLS features (TLS 1.3, ALPN, certificate pinning). It can be
configured to fall back for broad connectivity.

   *
   *   o REMOVE lines track entries that have been deleted.
   *
   * The journal file is appended to as cache operations occur. The journal may occasionally be
   * compacted by dropping redundant lines. A temporary file named "journal.tmp" will be used during
   * compaction; that file should be deleted if it exists when the cache is opened.
   */

  private val journalFile: Path