log.info("Set health check interval to {} ms", millis);
    }

    /**
     * Get current pool statistics
     * @return pool statistics string
     */
    public String getPoolStatistics() {
        return String.format("Pool statistics: Active=%d, NonPooled=%d, MaxSize=%d, Failures=%d, HealthChecks=%d, Removed=%d",

        }
    }

    /**
     * Get validation statistics
     */
    public ValidationStats getStats() {
        return new ValidationStats(totalValidations.get(), failedValidations.get(), bufferOverflowsPrevented.get(),
                integerOverflowsPrevented.get());
    }

    /**
     * Reset statistics
     */
    public void resetStats() {
        totalValidations.set(0);

        assertTrue(stats.getAverageWriteLatencyMicros() > 0, "Write latency should be positive");

        System.out.println("RDMA Statistics: " + stats);

        // Test statistics reset functionality
        stats.reset();
        assertEquals(0, stats.getRdmaReads(), "Reads should be reset to 0");
        assertEquals(0, stats.getRdmaWrites(), "Writes should be reset to 0");

 *
 * <p>The core interface used to represent caches is {@link Cache}. In-memory caches can be
 * configured and created using {@link CacheBuilder}, with cache entries being loaded by {@link
 * CacheLoader}. Statistics about cache performance are exposed using {@link CacheStats}.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/CachesExplained">caches</a>.
 *

            }
            log.info("Removed {} channels for session {}", channelGroup.getChannelCount(), sessionId);
        }
    }

    /**
     * Gets statistics for the multi-channel manager.
     *
     * @return channel statistics
     */
    public ChannelStatistics getStatistics() {
        return new ChannelStatistics(sessionChannels.size(),

    // Currently, this is going into /dev/null, but I'll fix that
    System.out.println("hit rate: " + hit / req);
  }

  // for proper distributions later:
  // import JSci.maths.statistics.ProbabilityDistribution;
  // int key = (int) dist.inverse(random.nextDouble());

    // Currently, this is going into /dev/null, but I'll fix that
    System.out.println("hit rate: " + hit / req);
  }

  // for proper distributions later:
  // import JSci.maths.statistics.ProbabilityDistribution;
  // int key = (int) dist.inverse(random.nextDouble());

 * total combined across the variables maintaining the sum.
 *
 * <p>This class is usually preferable to {@link AtomicLong} when multiple threads update a common
 * sum that is used for purposes such as collecting statistics, not for fine-grained synchronization
 * control. Under low update contention, the two classes have similar characteristics. But under
 * high contention, expected throughput of this class is significantly higher, at the expense of

        assertEquals(threadCount * operationsPerThread, releases.get());

        // Verify cache statistics
        String stats = BufferCache.getCacheStatistics();
        assertNotNull(stats, "Cache statistics should be available");
        System.out.println("Buffer Cache Stats: " + stats);
    }

    /**

import com.google.common.base.MoreObjects;
import java.util.Objects;
import java.util.concurrent.Callable;
import org.jspecify.annotations.Nullable;

/**
 * Statistics about the performance of a {@link Cache}. Instances of this class are immutable.
 *
 * <p>Cache statistics are incremented according to the following rules:
 *
 * <ul>
 *   <li>When a cache lookup encounters an existing cache entry {@code hitCount} is incremented.