* <p>The service is called during model building for all model objects, allowing
 * implementations to decide which objects to process and how to optimize them.</p>
 *
 * @since 4.0.0
 */
public interface ModelObjectProcessor {

    /**
     * Process a model object, potentially returning a pooled or optimized version.
     *
     * <p>This method is called during model building for various model objects.
     * Implementations can:</p>

// optimized, meaning we will use additional parities when drives are offline
// to retain parity SLA.
//
// Default is "availability" optimized.
func (sCfg *Config) AvailabilityOptimized() bool {
	ConfigLock.RLock()
	defer ConfigLock.RUnlock()
	if !sCfg.initialized {
		return true
	}
	return sCfg.Optimize == "availability" || sCfg.Optimize == ""
}

- **Switch Expressions** - Optimized implementations using switch expressions for better performance
- **Sequenced Collections** - Full support for Java 21 sequenced collections API with dedicated utility methods
- **Performance Focused** - Optimized implementations for better runtime performance with reduced memory allocation

    // The most common case is that from is a Reader (like InputStreamReader or StringReader) so
    // take advantage of that.
    if (from instanceof Reader) {
      // optimize for common output types which are optimized to deal with char[]
      if (to instanceof StringBuilder) {
        return copyReaderToBuilder((Reader) from, (StringBuilder) to);
      } else {

 *
 * Build up a collection by starting with [EmptyTags] and repeatedly calling [plus]. Each such call
 * returns a new instance.
 *
 * This collection is optimized for safe concurrent access over a very small number of elements.
 *
 * This collection and is expected to hold fewer than 10 elements. Each operation is _O(N)_, and so
 * building an instance with _N_ elements is _O(N**2)_.
 */

     *  XPath namespace prefixes are resolved from the namespaceNode.
     *  The implementation of this is a little slow, since it creates
     *  a number of objects each time it is called.  This could be optimized
     *  to keep the same objects around, but then thread-safety issues would arise.
     *
     *  @param contextNode The node to start searching from.
     *  @param expression A valid XPath string.

            if (null == value) {
                processConfiguration(lookup, bean, loader, configuration, evaluator, listener);
            } else {
                // Use optimized helper for better performance
                new EnhancedCompositeBeanHelper(lookup, loader, evaluator, listener)
                        .setDefault(bean, value, configuration);
            }
            return bean;

import com.google.common.annotations.J2ktIncompatible;
import com.google.errorprone.annotations.Immutable;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.Map.Entry;

/** A {@code RegularImmutableTable} optimized for sparse data. */
@GwtCompatible
@Immutable(containerOf = {"R", "C", "V"})
final class SparseImmutableTable<R, C, V> extends RegularImmutableTable<R, C, V> {
  static final ImmutableTable<Object, Object, Object> EMPTY =

- **Thread Safety**: Components support concurrent access
- **DFS Support**: Distributed File System resolution
- **Streaming Operations**: Efficient directory listings and file operations
- **Buffer Caching**: Optimized buffer management
- **DCE/RPC Protocol**: Support for advanced operations

## Quick Start

### Basic Usage

```java
import jcifs.CIFSContext;
import jcifs.context.SingletonContext;

MinIO uses [`klauspost/compress/s2`](https://github.com/klauspost/compress/tree/master/s2)
streaming compression due to its stability and performance.

This algorithm is specifically optimized for machine generated content.
Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.
Decompression speed is typically at least 1GB/s.