import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;

/**
 * Marks an event subscriber method as being thread-safe. This annotation indicates that EventBus
 * may invoke the event subscriber simultaneously from multiple threads.
 *
 * <p>This does not mark the method, and so should be used in combination with {@link Subscribe}.
 *
 * @author Cliff Biffle
 * @since 10.0
 */
@Retention(RetentionPolicy.RUNTIME)

import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;

/**
 * Marks an event subscriber method as being thread-safe. This annotation indicates that EventBus
 * may invoke the event subscriber simultaneously from multiple threads.
 *
 * <p>This does not mark the method, and so should be used in combination with {@link Subscribe}.
 *
 * @author Cliff Biffle
 * @since 10.0
 */
@Retention(RetentionPolicy.RUNTIME)

 *
 * When multiple Android builds run in parallel and share the same `ANDROID_HOME`, the Android Gradle Plugin
 * may attempt to download and install SDK components (platforms, build-tools, platform-tools) simultaneously.
 * This can cause race conditions leading to:
 * - `FileAlreadyExistsException` when extracting files
 * - Corrupted installations (e.g., "Build-tool X has corrupt source.properties")

//     methods like Instant Restore, File Level Recovery, and Database/Application restores. Veeam recommends that vendors
//     optimize the storage system for the default value of 1MB minus compression object sizes. The setting simultaneously
//     affects read from source, block, file, dedup, and object storage backup targets for a specific Veeam Job. When customers

  @GwtIncompatible // NullPointerTester
  public void testNullPointers() {
    /*
     * Don't bother testing: Preconditions defines a bunch of methods that accept a template (or
     * even entire message) that simultaneously:
     *
     * - _shouldn't_ be null, so we don't annotate it with @Nullable
     *
     * - _can_ be null without causing a runtime failure (because we don't want the interesting

state.

This is a slower operation that does not use replication queues and is designed to walk the namespace and replicate objects one at a time so as not to impede server load. Ideally, resync should not be initiated for multiple buckets simultaneously - progress of the syncing can be monitored by looking at `mc replicate resync status alias/bucket --remote-bucket <arn>`. In the event that resync operation failed to replicate some versions, they would be picked up by the healing mechanism in-built...

				delete(deleteMarkerCountMap, lastDel.Name)
			}
		}
		// send down filtered entries to be deleted using
		// DeleteObjects method
		if len(toDel) > 10 { // batch up to 10 objects/versions to be expired simultaneously.
			xfer := make([]expireObjInfo, len(toDel))
			copy(xfer, toDel)
			select {
			case expireCh <- xfer:
				toDel = toDel[:0] // resetting toDel
			case <-ctx.Done():
				done = true
			}
		}

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>

<p>
To serialize access, protect the data with channel operations or other synchronization primitives

	case <-ctx.Done():
		mu.Lock()
		if firstErr == nil {
			firstErr = ctx.Err()
		}
		defer mu.Unlock()
	}
	return firstErr
}

// MakeBucket - creates a new bucket across all serverPools simultaneously
// even if one of the sets fail to create buckets, we proceed all the successful
// operations.
func (z *erasureServerPools) MakeBucket(ctx context.Context, bucket string, opts MakeBucketOptions) error {

    cache.put(key, "1");
    // simultaneous update for same key, some null, some non-null
    doParallelCacheOp(
        count,
        n -> {
          cache.asMap().compute(key, (k, v) -> n % 2 == 0 ? v + delimiter + n : null);
        });
    assertThat(cache.size()).isAtMost(1);
  }

  public void testCompute() {
    cache.put(key, "1");
    // simultaneous deletion
    doParallelCacheOp(