Because the previous step copying the file could be detected by the **Docker cache**, this step will also **use the Docker cache** when available.

    Using the cache in this step will **save** you a lot of **time** when building the image again and again during development, instead of **downloading and installing** all the dependencies **every time**.

5. Copy the `./app` directory inside the `/code` directory.

* Add a SSHKey sync check to the master's healthz (when using SSHTunnels). ([#23167](https://github.com/kubernetes/kubernetes/pull/23167), [@cjcullen](https://github.com/cjcullen))
* Validate minimum CPU limits to be >= 10m ([#23143](https://github.com/kubernetes/kubernetes/pull/23143), [@vishh](https://github.com/vishh))

     * This is a cleanup operation that removes inactive session data while preserving active ones.
     *
     * @param activeSessionId a set of session IDs to preserve during the cleanup operation
     */
    public void deleteOldSessions(final Set<String> activeSessionId) {
        final List<CrawlingInfo> activeSessionList =
                activeSessionId.isEmpty() ? Collections.emptyList() : crawlingInfoBhv.selectList(cb -> {

    /** The Plexus component type */
    public static final String MAVEN_PLUGIN = "maven-plugin";

    /** "once-per-session" execution strategy */
    public static final String SINGLE_PASS_EXEC_STRATEGY = "once-per-session";

    /** "always" execution strategy */
    public static final String MULTI_PASS_EXEC_STRATEGY = "always";

    private static final String DEFAULT_INSTANTIATION_STRATEGY = "per-lookup";

  if (ret) ret = attr_value->ParseFromArray(buffer->data, buffer->length);
  TF_DeleteBuffer(buffer);
  return ret;
}

std::vector<std::pair<string, string>> GetGradDefs(
    const tensorflow::GraphDef& graph_def) {
  std::vector<std::pair<string, string>> grads;
  for (const tensorflow::GradientDef& grad : graph_def.library().gradient()) {
    grads.emplace_back(grad.function_name(), grad.gradient_func());
  }

   * String.class}, then {@code new TypeResolver().where(formal, actual)} will {@linkplain
   * #resolveType resolve} {@code ParameterizedType List<T>} to {@code List<String>}, and resolve
   * {@code Map<T, Something>} to {@code Map<String, Something>} etc. Similarly, {@code formal} and
   * {@code actual} can be {@code Map<K, V>} and {@code Map<String, Integer>} respectively, or they

   * ThreadLocal is usually implemented with a WeakReference, which can have negative performance
   * properties; for example, calling WeakReference.get() on Android will block during an
   * otherwise-concurrent GC cycle.
   */
  private static final class TaskNonReentrantExecutor extends AtomicReference<RunningState>
      implements Executor, Runnable {

    /**

// Returns the first error the occurred during the writing if any.
func (w *metacacheBlockWriter) Close() error {
	w.wg.Wait()
	return w.streamErr
}

type metacacheBlock struct {
	data  []byte
	n     int
	First string `json:"f"`
	Last  string `json:"l"`
	EOS   bool   `json:"eos,omitempty"`
}

func (b metacacheBlock) headerKV() map[string]string {
	json := jsoniter.ConfigCompatibleWithStandardLibrary

import java.util.concurrent.locks.Lock;
import org.jspecify.annotations.Nullable;

/**
 * Utilities for treating interruptible operations as uninterruptible. In all cases, if a thread is
 * interrupted during such a call, the call continues to block until the result is available or the
 * timeout elapses, and only then re-interrupts the thread.
 *
 * @author Anthony Zana
 * @since 10.0
 */
@GwtCompatible

	httpClient *http.Client
	url        *url.URL
	auth       func() string

	sync.RWMutex // mutex for lastErr
	lastErr      error
	lastErrTime  time.Time
}

type restError string

func (e restError) Error() string {
	return string(e)
}

func (e restError) Timeout() bool {
	return true
}

// Given a string of the form "host", "host:port", or "[ipv6::address]:port",