- **Template Method** - Resource traversal utilities with customizable handlers
- **Utility Classes** - All core functionality exposed through static utility methods for easy access

### Performance Optimizations
- **Caching** - Bean descriptors and reflection metadata are cached for improved performance
- **Lazy initialization** - Resources and expensive operations are initialized only when needed  

package jcifs.smb1.smb1;

import jcifs.smb1.Config;

/**
 * Buffer cache implementation for SMB1 protocol operations.
 * Manages a pool of byte buffers to reduce garbage collection overhead.
 *
 * Performance optimizations:
 * - Uses ConcurrentLinkedQueue for O(1) operations
 * - Lock-free operations for better concurrency
 * - Proper buffer validation and limits
 */
public class BufferCache {

    /**

        } catch (InterruptedException e) {
            logExecutor.shutdownNow();
            Thread.currentThread().interrupt();
        }
    }

    /**
     * Log a security event with performance optimizations
     *
     * @param type event type
     * @param severity event severity
     * @param message event message
     * @param context additional context
     */

        double totalTimeMs = (end - start) / 1_000_000.0;

        System.out.printf("Overall Performance Test: completed in %.2f ms%n", totalTimeMs);

        // Should complete very quickly with all optimizations
        assertTrue(totalTimeMs < 100, "All operations should complete quickly with performance fixes");

        pool.close();
    }

    return getBooleanProperty(DIRECTORY_NOTIFICATIONS_ENABLED, true);
}

public int getMaxDirectoryCacheEntries() {
    return getIntProperty(MAX_DIRECTORY_CACHE_ENTRIES, 1000);
}
```

## 7. Performance Optimizations

### 7.1 Batch Directory Operations
```java
public class BatchDirectoryOperations {
    private final DirectoryLeaseManager leaseManager;
    
    public List<SmbFile> batchExists(List<String> paths) {

Anyway, in any of the cases above, FastAPI will still work asynchronously and be extremely fast.

But by following the steps above, it will be able to do some performance optimizations.

## Technical Details { #technical-details }

Modern versions of Python have support for **"asynchronous code"** using something called **"coroutines"**, with **`async` and `await`** syntax.

            }

            final int type = this.file.getType();
            int r, n;
            final int blockSize = type == SmbConstants.TYPE_FILESYSTEM ? this.readSizeFile : this.readSize;

            // Optimization: Use larger block sizes for better performance
            final int optimizedBlockSize = Math.min(blockSize * 2, 64 * 1024); // Cap at 64KB for memory efficiency

        entry != null;
        entry = entry.getNextInKeyBucket()) {
      Object candidateKey = entry.getKey();

      /*
       * Assume that equals uses the == optimization when appropriate, and that
       * it would check hash codes as an optimization when appropriate. If we
       * did these things, it would just make things worse for the most
       * performance-conscious users.
       */

        assertEquals("org.codelibs.fess.app.web.RootAction", actionClass.getName());
    }

    public void test_fillInStackTrace() {
        // Test fillInStackTrace returns null for performance optimization
        UserRoleLoginException exception = new UserRoleLoginException(RootAction.class);
        Throwable result = exception.fillInStackTrace();
        assertNull(result);

	_, err := objAPI.DeleteObject(ctx, minioMetaBucket, historyFile, ObjectOptions{
		DeletePrefix:       true,
		DeletePrefixObject: true, // use prefix delete on exact object (this is an optimization to avoid fan-out calls)
	})
	return err
}

func readServerConfigHistory(ctx context.Context, objAPI ObjectLayer, uuidKV string) ([]byte, error) {