// It's possible to race and suspend the thread just before the park call actually takes effect,
    // causing the thread to be suspended for 3.5 seconds, and then park itself for 2 seconds after
    // being resumed. To avoid a flake in this scenario, calculate how long that thread actually
    // waited and assert based on that time. Empirically, the race where the thread ends up waiting
    // for 5.5 seconds happens about 2% of the time.

 *
 * OkHttp performs best when you create a single `OkHttpClient` instance and reuse it for all of
 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *
 * ```java

 * #expireAfterAccess expireAfterAccess}, {@link #weakKeys weakKeys}, {@link #weakValues
 * weakValues}, or {@link #softValues softValues} perform periodic maintenance.
 *
 * <p>The caches produced by {@code CacheBuilder} are serializable, and the deserialized caches
 * retain all the configuration properties of the original cache. Note that the serialized form does
 * <i>not</i> include cache contents, but only configuration.

    protected static final String CODE = "code";

    /** Timeout for token acquisition in milliseconds. */
    protected long acquisitionTimeout = 30 * 1000L;

    /** Cache for storing group information to reduce API calls. */
    protected Cache<String, Pair<String[], String[]>> groupCache;

    /** Group cache expiry time in seconds. */
    protected long groupCacheExpiry = 10 * 60L;

  font-style: italic;
}
</style>

<h2 id="introduction">Introduction</h2>

<p>
The Go memory model specifies the conditions under which
reads of a variable in one goroutine can be guaranteed to
observe values produced by writes to the same variable in a different goroutine.
</p>


<h3 id="advice">Advice</h3>

<p>
Programs that modify data being simultaneously accessed by multiple goroutines
must serialize such access.
</p>

                    listContext = createFreshContext();
                } else {
                    // Final attempt failed
                    if (e.getMessage() != null && (e.getMessage().contains("Connection refused")
                            || e.getMessage().contains("Failed to connect") || e.getMessage().contains("localhost/0:0:0:0:0:0:0:1"))) {
                        // Network connectivity issue in CI - skip test

	"gopkg.in/yaml.v3"
)

var globalBatchConfig batch.Config

const (
	// Keep the completed/failed job stats 3 days before removing it
	oldJobsExpiration = 3 * 24 * time.Hour

	redactedText = "**REDACTED**"
)

// BatchJobRequest this is an internal data structure not for external consumption.
type BatchJobRequest struct {
	ID        string               `yaml:"-" json:"name"`

// The returned reader contains the payload and must be closed if no error is returned.
func waitForHTTPStream(respBody io.ReadCloser, w io.Writer) error {
	var tmp [1]byte
	// 8K copy buffer, reused for less allocs...
	bufp := poolBuf8k.Get()
	buf := *bufp
	defer poolBuf8k.Put(bufp)

	for {
		_, err := io.ReadFull(respBody, tmp[:])
		if err != nil {
			return err
		}

 * for comparisons. This class is not being deprecated, but we gently encourage you to migrate to
 * streams.
 *
 * <p><i>Performance notes:</i> Unless otherwise noted, all of the iterables produced in this class
 * are <i>lazy</i>, which means that their iterators only advance the backing iteration when
 * absolutely necessary.
 *
 * <p>See the Guava User Guide article on <a href=

- New default scheduling plugins order reduces scheduling and preemption latency when taints and node affinity are used ([#95539](https://github.com/kubernetes/kubernetes/pull/95539), [@soulxu](https://github.com/soulxu)) [SIG Scheduling]