[Gradle Community Resources](https://gradle.org/resources/).

This guide will help you to...

* maximize the chance of your changes being accepted
* work on the Gradle code base
* get help if you encounter trouble

## Before you start

Before starting to work on a feature or a bug fix, please open an issue to discuss the use case or bug with us, or post a comment in the relevant issue. 

- Resolved a performance regression in default 1.31+ configurations, related to the `ConsistentListFromCache` feature, where rapid create/update API requests across different namespaces encounter increased latency. ([#130113](https://github.com/kubernetes/kubernetes/pull/130113), [@AwesomePatrol](https://github.com/AwesomePatrol))

   * resulting implementation is specialized for enum key types. The returned map and its views will
   * iterate over keys in their enum definition order, not encounter order.
   *
   * <p>If the mapped keys contain duplicates, an {@code IllegalArgumentException} is thrown when
   * the collection operation is performed. (This differs from the {@code Collector} returned by

   * resulting implementation is specialized for enum key types. The returned map and its views will
   * iterate over keys in their enum definition order, not encounter order.
   *
   * <p>If the mapped keys contain duplicates, an {@code IllegalArgumentException} is thrown when
   * the collection operation is performed. (This differs from the {@code Collector} returned by

   * Applies a supplemental hash function to a given hash code, which defends against poor quality
   * hash functions. This is critical when the concurrent hash map uses power-of-two length hash
   * tables, that otherwise encounter collisions for hash codes that do not differ in lower or upper
   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,

   * Applies a supplemental hash function to a given hash code, which defends against poor quality
   * hash functions. This is critical when the concurrent hash map uses power-of-two length hash
   * tables, that otherwise encounter collisions for hash codes that do not differ in lower or upper
   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,

      }
    }
    server.enqueue(builder.build())
    if (responseCode == HttpURLConnection.HTTP_CLIENT_TIMEOUT) {
      // 408's are a bit of an outlier because we may repeat the request if we encounter this
      // response code. In this scenario, there are 2 responses: the initial 408 and then the 200
      // because of the retry. We just want to ensure the initial 408 isn't cached.
      expectedResponseCode = 200

   * Applies a supplemental hash function to a given hash code, which defends against poor quality
   * hash functions. This is critical when the concurrent hash map uses power-of-two length hash
   * tables, that otherwise encounter collisions for hash codes that do not differ in lower or upper
   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,

   * Applies a supplemental hash function to a given hash code, which defends against poor quality
   * hash functions. This is critical when the concurrent hash map uses power-of-two length hash
   * tables, that otherwise encounter collisions for hash codes that do not differ in lower or upper
   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,

- Fix kubelet token cache returning stale tokens when service accounts...