globalAuthZPlugin *polplugin.AuthZPlugin

	// Deployment ID - unique per deployment
	globalDeploymentIDPtr atomic.Pointer[string]
	globalDeploymentID    = func() string {
		ptr := globalDeploymentIDPtr.Load()
		if ptr == nil {
			return ""
		}
		return *ptr
	}

	globalAllHealState = newHealState(GlobalContext, true)

	// The always present healing routine ready to heal objects

	}
	return false
}

// isLatestDeletemarker returns whether the latest version is a delete marker.
// If metadata is NOT versioned false will always be returned.
// If v2 and UNABLE to load metadata true will be returned.
func (e *metaCacheEntry) isLatestDeletemarker() bool {
	if e.cached != nil {
		if len(e.cached.versions) == 0 {
			return true
		}

    // This class can make no hard guarantees.  The methods in this class are inherently flaky, but
    // we try hard to make them robust in practice.  We could additionally try to add in a system
    // load timeout multiplier.  Or we could try to use a CPU time bound instead of wall clock time
    // bound.  But these ideas are harder to implement.  We do not try to detect or handle a
    // user-specified -XX:+DisableExplicitGC.

     */
    int getChannelBindingPolicy();

    /**
     * Load balancing strategy for multi-channel
     *
     * Property {@code jcifs.smb.client.loadBalancingStrategy} (String, default "adaptive")
     * Values: "round_robin", "least_loaded", "weighted_random", "affinity_based", "adaptive"
     *
     * @return load balancing strategy
     */
    String getLoadBalancingStrategy();

    /**

						Force:      true,
						SRDeleteOp: getSRBucketDeleteOp(globalSiteReplicationSys.isEnabled()),
					})
					writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
					return
				}

				// Load updated bucket metadata into memory.
				globalNotificationSys.LoadBucketMetadata(GlobalContext, bucket)

				// Make sure to add Location information here only for bucket

  static final ImmutableMap<Object, Object> EMPTY =
      new RegularImmutableMap<>((Entry<Object, Object>[]) ImmutableMap.EMPTY_ENTRY_ARRAY, null, 0);

  /**
   * Closed addressing tends to perform well even with high load factors. Being conservative here
   * ensures that the table is still likely to be relatively sparse (hence it misses fast) while
   * saving space.
   */
  @VisibleForTesting static final double MAX_LOAD_FACTOR = 1.2;

            protected List<String> loadDataStoreNameList() {
                loadCount[0]++;
                return List.of("Store1", "Store2");
            }
        };

        // First call should load
        String[] names = testFactory.getDataStoreNames();
        assertEquals(2, names.length);
        assertEquals("Store1", names[0]);
        assertEquals("Store2", names[1]);
        assertEquals(1, loadCount[0]);

./mc admin config set minio1 compression allow_encryption=off --insecure

# Create bucket in source cluster
echo "Create bucket in source MinIO instance"
./mc mb minio1/test-bucket --insecure

# Load objects to source site
echo "Loading objects to source MinIO instance"
./mc cp /tmp/data/plainfile minio1/test-bucket --insecure

        xpathAPICache =
                CacheBuilder.newBuilder().expireAfterAccess(cacheDuration, TimeUnit.MINUTES).build(new CacheLoader<String, XPathAPI>() {
                    @Override
                    public XPathAPI load(final String key) {
                        if (logger.isDebugEnabled()) {
                            logger.debug("created XPathAPI by {}", key);
                        }
                        return new XPathAPI();

```

### Resource Management
```java
import org.codelibs.core.io.*;

// Resource loading and management
URL resource = ResourceUtil.getResource("config.properties");
Properties props = PropertiesUtil.load(resource);

// File operations with proper resource handling
try (InputStream input = ResourceUtil.getResourceAsStream("data.txt")) {
    String content = InputStreamUtil.getUTF8String(input);
}