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;

   *
   * Table entries are of class Cell; a variant of AtomicLong padded
   * to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share

   *
   * Table entries are of class Cell; a variant of AtomicLong padded
   * to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share

// equivalent of:
//
//	*addr += delta
//	return *addr
//
// The load and store operations, implemented by the LoadT and StoreT
// functions, are the atomic equivalents of "return *addr" and
// "*addr = val".
//
// In the terminology of [the Go memory model], if the effect of
// an atomic operation A is observed by atomic operation B,
// then A “synchronizes before” B.

   *
   * Table entries are of class Cell; a variant of AtomicLong padded
   * to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share

   *
   * Table entries are of class Cell; a variant of AtomicLong padded
   * to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share

	alias("internal/runtime/atomic", "Xchguintptr", "internal/runtime/atomic", "Xchg64", p8...)

	// Aliases for atomic add operations
	alias("internal/runtime/atomic", "Xaddint32", "internal/runtime/atomic", "Xadd", all...)
	alias("internal/runtime/atomic", "Xaddint64", "internal/runtime/atomic", "Xadd64", all...)

pkg sync/atomic, func OrUint32(*uint32, uint32) uint32 #61395
pkg sync/atomic, func OrUint64(*uint64, uint64) uint64 #61395
pkg sync/atomic, func OrUintptr(*uintptr, uintptr) uintptr #61395
pkg sync/atomic, method (*Int32) And(int32) int32 #61395
pkg sync/atomic, method (*Int32) Or(int32) int32 #61395
pkg sync/atomic, method (*Int64) And(int64) int64 #61395
pkg sync/atomic, method (*Int64) Or(int64) int64 #61395

						}
						PutByteBuffer(resp)
						n++
					}
					atomic.AddInt64(&ops, int64(n))
					atomic.AddInt64(&lat, latency)
				})
				spent := time.Since(t)
				if spent > 0 && n > 0 {
					// Since we are benchmarking n parallel servers we need to multiply by n.
					// This will give an estimate of the total ops/s.
					latency := float64(atomic.LoadInt64(&lat)) / float64(time.Millisecond)