explicit AbstractOpAttrs(AbstractOpAttrsKind kind) : kind_(kind) {}

 public:
  // Returns which subclass is this instance of.
  AbstractOpAttrsKind getKind() const { return kind_; }
  virtual ~AbstractOpAttrs() = default;

  // Returns the AbstractFunction as a FunctionDef.
  virtual void GetNameAttrList(
      tensorflow::NameAttrList* name_and_attrs) const = 0;

  virtual bool GetInt(absl::string_view, int64_t* result) const = 0;

     * @param problems The container used to collect problems that were encountered, must not be {@code null}.
     */
    default void validate(Settings settings, boolean isProjectSettings, SettingsProblemCollector problems) {
        validate(settings, problems);
    }

     * the method returns.
     *
     * @param output The writer to serialize the toolchains to, must not be {@code null}.
     * @param options The options to use for serialization, may be {@code null} to use the default values.
     * @param toolchains The toolchains to serialize, must not be {@code null}.
     * @throws IOException If the toolchains could not be serialized.
     */

import org.eclipse.aether.resolution.ArtifactDescriptorException;
import org.eclipse.aether.resolution.ArtifactDescriptorResult;

/**
 * Maven relocation source.
 * Note: implementations of this component should avoid the "default" name (has special meaning in Eclipse Sisu) and
 * explicitly order implementations using Sisu priorities.
 *
 * @since 4.0.0
 * @deprecated since 4.0.0, use {@code maven-api-impl} jar instead
 */

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package ilm

import (
	"strconv"

	"github.com/minio/minio/internal/config"
	"github.com/minio/pkg/v3/env"
)

// DefaultKVS default configuration values for ILM subsystem
var DefaultKVS = config.KVS{
	config.KV{
		Key:   transitionWorkers,
		Value: "100",
	},
	config.KV{
		Key:   expirationWorkers,
		Value: "100",
	},
}

TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for
internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.

                break;
            case HMAC_SHA1_96_AES128:
            case HMAC_SHA1_96_AES256:
                this.checksum = new byte[12];
                break;
            default:
                this.checksum = new byte[bufferStream.available()];
                break;
            }
            bufferStream.readFully(this.checksum);
        }
        catch ( IOException e ) {

            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
            proxy_set_header X-Forwarded-Proto $scheme;

            proxy_connect_timeout 300;
            # Default is HTTP/1, keepalive is only enabled in HTTP/1.1
            proxy_http_version 1.1;
            proxy_set_header Connection "";
            chunked_transfer_encoding off;

            proxy_pass http://minio;
        }

 *
 */
@Deprecated
public interface WagonManager extends org.apache.maven.repository.legacy.WagonManager {
    /**
     * this method is only here for backward compat (project-info-reports:dependencies)
     * the default implementation will return an empty AuthenticationInfo
     *
     * @param id an id
     * @return corresponding authentication info
     */
    AuthenticationInfo getAuthenticationInfo(String id);

    SuggestWriterResult delete(Client client, SuggestSettings settings, String index, String id);

    SuggestWriterResult deleteByQuery(Client client, SuggestSettings settings, String index, QueryBuilder queryBuilder);

    default SuggestItem[] mergeItems(final SuggestItem[] items) {
        final Set<String> mergedIdSet = new HashSet<>();
        final List<SuggestItem> mergedList = new ArrayList<>(items.length);