import org.slf4j.LoggerFactory;
import org.slf4j.MDC;

/**
 * Security audit logger for SMB operations.
 * Provides structured logging of security-relevant events with sensitive data masking.
 *
 * Features:
 * - Structured JSON logging
 * - Sensitive data masking
 * - Event categorization
 * - Performance metrics
 * - Compliance-ready audit trail
 * - Asynchronous logging with bounded queue

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 of the write amplification. _Netflix_, for example, developed...

 * <Long>}:
 *
 * <ul>
 *   <li>Improved memory compactness and locality.
 *   <li>Can be queried without allocating garbage.
 *   <li>Access to {@code LongStream} features (like {@link LongStream#sum}) using {@code stream()}
 *       instead of the awkward {@code stream().mapToLong(v -> v)}.
 * </ul>
 *
 * <p>Disadvantages compared to {@code ImmutableList<Long>}:
 *
 * <ul>

import com.google.common.collect.testing.ListTestSuiteBuilder;
import com.google.common.collect.testing.NavigableSetTestSuiteBuilder;
import com.google.common.collect.testing.features.CollectionFeature;
import com.google.common.collect.testing.features.CollectionSize;
import com.google.common.collect.testing.google.SetGenerators.ImmutableSortedSetAsListGenerator;

		class="org.codelibs.fess.crawler.extractor.impl.HtmlExtractor">
		<property name="featureMap">
			<component class="java.util.LinkedHashMap">
				<postConstruct name="put">
					<arg>"http://xml.org/sax/features/namespaces"</arg>
					<arg>"false"</arg>
				</postConstruct>
			</component>
		</property>
		<property name="propertyMap">
			<component class="java.util.LinkedHashMap">
			</component>
		</property>

 * may cause corruption or runtime errors if not. It may however be shared amongst multiple OkHttpClient
 * instances.
 *
 * ## Cache Optimization
 *
 * To measure cache effectiveness, this class tracks three statistics:
 *
 *  * **[Request Count:][requestCount]** the number of HTTP requests issued since this cache was
 *    created.

    RateLimiter rateLimiter = new SmoothWarmingUp(stopwatch, warmupPeriod, unit, coldFactor);
    rateLimiter.setRate(permitsPerSecond);
    return rateLimiter;
  }

  /**
   * The underlying timer; used both to measure elapsed time and sleep as necessary. A separate
   * object to facilitate testing.
   */
  private final SleepingStopwatch stopwatch;

import com.google.common.collect.testing.TestStringMapGenerator;
import com.google.common.collect.testing.features.CollectionFeature;
import com.google.common.collect.testing.features.CollectionSize;
import com.google.common.collect.testing.features.MapFeature;
import com.google.common.testing.FakeTicker;
import com.google.common.testing.NullPointerTester;
import com.google.common.testing.SerializableTester;

import com.google.common.collect.testing.TestStringMapGenerator;
import com.google.common.collect.testing.features.CollectionFeature;
import com.google.common.collect.testing.features.CollectionSize;
import com.google.common.collect.testing.features.MapFeature;
import com.google.common.testing.FakeTicker;
import com.google.common.testing.NullPointerTester;
import com.google.common.testing.SerializableTester;

        // Data: bitSize / 8 bytes
        long predictedSize = bf.bitSize() / 8 + 6;
        assertThat(bf.serializedSize()).isEqualTo(predictedSize);

        // Serialize and measure actual size
        ByteArrayOutputStream out = new ByteArrayOutputStream();
        bf.writeTo(out);
        int actualSize = out.size();
        assertThat(bf.serializedSize()).isEqualTo(actualSize);