*
     * @return The interim model building result or {@code null} if not available.
     */
    public ModelBuildingResult getResult() {
        return result;
    }

    /**
     * Gets the model that could not be built properly.
     *
     * @return The erroneous model or {@code null} if not available.
     */
    public Model getModel() {
        if (result == null) {
            return null;

	return len(list.targets) == 0
}

// List - returns available target IDs.
func (list *TargetList) List(region string) []ARN {
	list.RLock()
	defer list.RUnlock()

	keys := make([]ARN, 0, len(list.targets))
	for k := range list.targets {
		keys = append(keys, k.ToARN(region))
	}

	return keys
}

// TargetMap - returns available targets.
func (list *TargetList) TargetMap() map[TargetID]Target {

		}
		b.n -= n
		b.err = err
		return err
	}
	b.n = 0
	return nil
}

// Available returns how many bytes are unused in the buffer.
func (b *Writer) Available() int { return len(b.buf) - b.n }

// AvailableBuffer returns an empty buffer with b.Available() capacity.
// This buffer is intended to be appended to and
// passed to an immediately succeeding [Writer.Write] call.

of Pilot replicas is a component setting, because it refers to a component which is a Deployment in the
cluster. Most K8s platform settings are necessarily component settings.
The available features and the components that comprise each feature are as follows:

| Feature | Components |
|---------|------------|
CRDs, and other cluster wide configs | Base
Traffic Management | Pilot
Security | Pilot

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.cli.logging;

/**
 * Interface for configuration operations on loggers, which are not available in slf4j, then require per-slf4f-binding
 * implementation.
 *
 * @since 3.1.0
 */
public interface Slf4jConfiguration {
    /**
     * Level
     */
    enum Level {
        DEBUG,
        INFO,

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

On Windows, [Current] can now be used in Windows Nano Server.
The implementation has been updated to avoid using functions

  @J2ktIncompatible
  @GwtIncompatible // not used under GWT, and super.getName() is not available under J2CL
  public final String getTestMethodName() {
    return super.getName();
  }

  @J2ktIncompatible
  @GwtIncompatible // not used under GWT, and super.getName() is not available under J2CL
  @Override
  public String getName() {
    return Platform.format("%s[%s]", super.getName(), suiteName);
  }

  @J2ktIncompatible
  @GwtIncompatible // not used under GWT, and super.getName() is not available under J2CL
  public final String getTestMethodName() {
    return super.getName();
  }

  @J2ktIncompatible
  @GwtIncompatible // not used under GWT, and super.getName() is not available under J2CL
  @Override
  public String getName() {
    return Platform.format("%s[%s]", super.getName(), suiteName);
  }

   * {@code InputStream.skip()}.
   */
  private static long skipSafely(InputStream in, long n) throws IOException {
    int available = in.available();
    return available == 0 ? 0 : in.skip(min(available, n));
  }

  /**
   * Process the bytes of the given input stream using the given processor.
   *
   * @param input the input stream to process