*   Added APIs for switching between interactive logging and absl logging.
        By default, Keras always writes the logs to stdout. However, this is not
        optimal in a non-interactive environment, where you don't have access to
        stdout, but can only view the logs. You can use
        `tf.keras.utils.disable_interactive_logging()` to write the logs to ABSL
        logging. You can also use `tf.keras.utils.enable_interactive_logging()`

	logger.LogIf(ctx, "tier", err, errKind...)
}

func kmsLogIf(ctx context.Context, err error, errKind ...any) {
	logger.LogIf(ctx, "kms", err, errKind...)
}

// KMSLogger permits access to kms module specific logging
type KMSLogger struct{}

// LogOnceIf is the implementation of LogOnceIf, accessible using the Logger interface
func (l KMSLogger) LogOnceIf(ctx context.Context, err error, id string, errKind ...any) {

## 🔧 Configuration

### Logging Configuration
CoreLib supports multiple logging frameworks. Configure your preferred logger:

```java
// Use with SLF4J (add slf4j-api dependency)
Logger logger = Logger.getLogger(MyClass.class);

// Use with Commons Logging (add commons-logging dependency)  
Logger logger = Logger.getLogger(MyClass.class);

// Use with Java Util Logging (built-in)

/**
 * 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
 * - Object pooling to reduce GC pressure
 */
public class SecurityAuditLogger {

    }
    try {
      return fromEntryArrayCheckingBucketOverflow(n, entryArray, throwIfDuplicateKeys);
    } catch (BucketOverflowException e) {
      // probable hash flooding attack, fall back to j.u.HM based implementation and use its
      // implementation of hash flooding protection
      return JdkBackedImmutableMap.create(n, entryArray, throwIfDuplicateKeys);
    }
  }

    }

    // Test with a custom ClassLoader to simulate class availability
    public void test_hook_withCustomClassLoader() throws Exception {
        // Create a custom ClassLoader that can control class loading behavior
        ClassLoader customClassLoader = new URLClassLoader(new URL[0], null) {
            @Override
            public Class<?> loadClass(String name) throws ClassNotFoundException {

    private long timeout;
    private LockingAndXRange[] locks;
    private LockingAndXRange[] unlocks;
    private boolean largeFile;

    /**
     * Creates a new SMB1 locking request for file byte-range locking operations.
     *
     * @param config the CIFS configuration
     */
    public SmbComLockingAndX(final Configuration config) {
        super(config);
    }

    /**
     * {@inheritDoc}

			bootstrapTraceMsgFirstTime("loading regular users")
			if err := store.loadUsers(ctx, regUser, newCache.iamUsersMap); err != nil {
				return err
			}
			bootstrapTraceMsgFirstTime("loading regular groups")
			if err := store.loadGroups(ctx, newCache.iamGroupsMap); err != nil {
				return err
			}
		}

		bootstrapTraceMsgFirstTime("loading user policy mapping")
		// load polices mapped to users

This can be very useful for setting up **resources** that you need to use for the whole app, and that are **shared** among requests, and/or that you need to **clean up** afterwards. For example, a database connection pool, or loading a shared machine learning model.

## Use Case { #use-case }

Let's start with an example **use case** and then see how to solve it with this.

```plaintext
/home/user/code/awesome-project/.venv/bin:/usr/bin:/bin:/usr/sbin:/sbin
```

That means that the system will now start looking first for programs in:

```plaintext
/home/user/code/awesome-project/.venv/bin
```

before looking in the other directories.

So, when you type `python` in the terminal, the system will find the Python program in

```plaintext