import com.google.common.primitives.Ints;
import com.google.common.primitives.Longs;
import java.math.RoundingMode;
import java.util.Arrays;
import java.util.concurrent.atomic.AtomicLongArray;
import java.util.concurrent.atomic.LongAdder;
import org.jspecify.annotations.Nullable;

/**
 * Collections of strategies of generating the k * log(M) bits required for an element to be mapped

import java.util.concurrent.Future;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicReference;
import java.util.concurrent.locks.LockSupport;
import junit.framework.AssertionFailedError;
import junit.framework.TestCase;

import java.util.concurrent.Future;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicReference;
import java.util.concurrent.locks.LockSupport;
import junit.framework.AssertionFailedError;
import junit.framework.TestCase;

 * generated today may <i>not</i> be readable by a binary that was compiled 6 months ago).
 *
 * <p>As of Guava 23.0, this class is thread-safe and lock-free. It internally uses atomics and
 * compare-and-swap to ensure correctness when multiple threads are used to access it.
 *
 * @param <T> the type of instances that the {@code BloomFilter} accepts
 * @author Dimitris Andreou
 * @author Kevin Bourrillion

twice.
</p>

<h3 id="atomic">Atomic Values</h3>

<p>
The APIs in the <a href="/pkg/sync/atomic/"><code>sync/atomic</code></a>
package are collectively “atomic operations”
that can be used to synchronize the execution of different goroutines.
If the effect of an atomic operation <i>A</i> is observed by atomic operation <i>B</i>,
then <i>A</i> is synchronized before <i>B</i>.

	serverStats := ServerHTTPStats{}
	serverStats.S3RequestsIncoming = atomic.SwapUint64(&st.s3RequestsIncoming, 0)
	serverStats.S3RequestsInQueue = atomic.LoadInt32(&st.s3RequestsInQueue)
	serverStats.TotalS3RejectedAuth = atomic.LoadUint64(&st.rejectedRequestsAuth)
	serverStats.TotalS3RejectedTime = atomic.LoadUint64(&st.rejectedRequestsTime)
	serverStats.TotalS3RejectedHeader = atomic.LoadUint64(&st.rejectedRequestsHeader)

	defer r.qCache.Unlock()
	v, ok := r.qCache.bucketStats[bucket]
	if !ok {
		v = newInQueueStats(r.registry, bucket)
	}
	atomic.AddInt64(&v.nowBytes, sz)
	atomic.AddInt64(&v.nowCount, 1)
	r.qCache.bucketStats[bucket] = v
	atomic.AddInt64(&r.qCache.srQueueStats.nowBytes, sz)
	atomic.AddInt64(&r.qCache.srQueueStats.nowCount, 1)
}

func (p *ProxyMetric) add(p2 ProxyMetric) {
	atomic.AddUint64(&p.GetTotal, p2.GetTotal)
	atomic.AddUint64(&p.HeadTotal, p2.HeadTotal)
	atomic.AddUint64(&p.GetTagTotal, p2.GetTagTotal)
	atomic.AddUint64(&p.PutTagTotal, p2.PutTagTotal)
	atomic.AddUint64(&p.RmvTagTotal, p2.RmvTagTotal)
	atomic.AddUint64(&p.GetFailedTotal, p2.GetFailedTotal)
	atomic.AddUint64(&p.HeadFailedTotal, p2.HeadFailedTotal)

pkg sync/atomic, method (*Uintptr) Load() uintptr #50860
pkg sync/atomic, method (*Uintptr) Store(uintptr) #50860
pkg sync/atomic, method (*Uintptr) Swap(uintptr) uintptr #50860
pkg sync/atomic, type Bool struct #50860
pkg sync/atomic, type Int32 struct #50860
pkg sync/atomic, type Int64 struct #50860
pkg sync/atomic, type Pointer[$0 interface{}] struct #50860
pkg sync/atomic, type Uint32 struct #50860

the connector to use S3 and other S3-compatible object stores such as MinIO. MapReduce workloads typically interact with object stores in the same way they do with HDFS. These workloads rely on HDFS atomic rename functionality to complete writing data to the datastore. Object storage operations are atomic by nature and they do not require/implement rename API. The default S3A committer emulates renames through copy and delete APIs. This interaction pattern causes significant loss of performance because...