mapPool.offer((HashMap<String, Object>) map);
        }
    }

    /**
     * Get audit statistics
     *
     * @return map of event types to counts
     */
    public Map<EventType, Long> getStatistics() {
        Map<EventType, Long> stats = new HashMap<>();
        for (Map.Entry<EventType, AtomicLong> entry : eventCounters.entrySet()) {

        getFirstAddress();
        for (;;) {
            try {
                doConnect();
                return;
            } catch (final SmbAuthException sae) {
                throw sae; // Prevents account lockout on servers with multiple IPs
            } catch (final SmbException se) {
                if (getNextAddress() == null) {
                    throw se;
                }

	// as a signature value for the data descriptor record.
	// Implementers should be aware that ZIP files may be
	// encountered with or without this signature marking data
	// descriptors and should account for either case when reading
	// ZIP files to ensure compatibility."
	//
	// dataDescriptorLen includes the size of the signature but
	// first read just those 4 bytes to see if it exists.

- Get-kube.sh uses the gcloud's current local GCP service account for auth when the provider is GCE or GKE instead of the metadata server default ([#88383](https://github.com/kubernetes/kubernetes/pull/88383), [@BenTheElder](https://github.com/BenTheElder)) [SIG Cluster Lifecycle]

      return ByteStreams.exhaust(in);
    } catch (Throwable e) {
      throw closer.rethrow(e);
    } finally {
      closer.close();
    }
  }

  /** Counts the bytes in the given input stream using skip if possible. */
  private static long countBySkipping(InputStream in) throws IOException {
    long count = 0;
    long skipped;

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 machines in the cluster.

If your application is **simple**, this will probably **not be a problem**, and you might not need to specify hard memory limits. But if you are...

        // When - initially should not need rotation
        assertFalse(context.needsKeyRotation(), "Should not need rotation initially");

        // Note: We can't directly test the byte limit without encrypting large amounts of data,
        // but we can verify the method exists and returns proper boolean
    }

    @Test
    @DisplayName("Should reset key rotation tracking")
    void testResetKeyRotationTracking() {

- E2e tests wait for kube-root-ca.crt to be populated in namespaces for use with projected service account tokens, reducing delays starting those test pods and errors in the logs. ([#108860](https://github.com/kubernetes/kubernetes/pull/108860), [@eddiezane](https://github.com/eddiezane)) [SIG Testing]

	}
	return res
}

// hasSpaceFor returns whether the disks in `di` have space for and object of a given size.
func hasSpaceFor(di []*DiskInfo, size int64) (bool, error) {
	// We multiply the size by 2 to account for erasure coding.
	size *= 2
	if size < 0 {
		// If no size, assume diskAssumeUnknownSize.
		size = diskAssumeUnknownSize
	}

	var available uint64
	var total uint64
	var nDisks int

 *       SMALL_DELAY_MS}, {@code MEDIUM_DELAY_MS}, {@code LONG_DELAY_MS}. The idea here is that a
 *       SHORT is always discriminable from zero time, and always allows enough time for the small
 *       amounts of computation (creating a thread, calling a few methods, etc) needed to reach a
 *       timeout point. Similarly, a SMALL is always discriminable as larger than SHORT and smaller