}
        }

        class BridgeProvider<T> implements Provider<T> {
            final Binding<T> binding;

            BridgeProvider(Binding<T> binding) {
                this.binding = binding;
            }

            @Override
            public T get() {
                return compile(binding).get();
            }
        }

        @Override

/**
 * Handles injection of plugin executions induced by the lifecycle bindings for a packaging.
 *
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public interface LifecycleBindingsInjector {

    /**
     * Injects plugin executions induced by lifecycle bindings into the specified model. The model has already undergone

     * Single host type
     */
    public static final int MsvAvSingleHost = 0x08;

    /**
     * Target name type
     */
    public static final int MsvAvTargetName = 0x09;

    /**
     * Channel bindings type
     */
    public static final int MsvAvChannelBindings = 0x0A;

    private final int type;
    private final byte[] raw;


    /**
     * @param type
     * @param raw
     */

    licenses = ["notice"],
)

# Currently pybind extension shared objects must use only C API headers since
# the C API has static initializers duplicated in the Python bindings. So we
# need a second rule that omits .cc files, in
# tensorflow/python:_pywrap_parallel_device.
filegroup(
    name = "lib_headers",
    srcs = ["parallel_device_lib.h"],
)

filegroup(

import org.apache.maven.lifecycle.mapping.LifecyclePhase;

import static org.apache.maven.api.Lifecycle.AFTER;
import static org.apache.maven.api.Lifecycle.BEFORE;

/**
 * Lifecycle definition, with eventual plugin bindings (when they are not packaging-specific).
 */
public class Lifecycle {
    public Lifecycle() {}

    public Lifecycle(String id, List<String> phases, Map<String, LifecyclePhase> defaultPhases) {
        this.id = id;

 * into itself leading to a stack overflow.
 *
 * A side effect of using @Typed is that it translates to explicit bindings in the container.
 * So instead of binding the component under a 'wildcard' key it is now bound with an explicit
 * key. Since this is a default component this will be a plain binding of ModelProcessor to
 * this implementation type, ie. no hint/name.
 *

                            key = "endpoint";
                        binding.setOption(key, val);
                        key = null;
                    }
                    break;
                default:
                    si = arr.length;
            }

            si++;
        } while (si < arr.length);

        if (binding == null || binding.endpoint == null)

 but is ready to use other logging implementations: SLF4J is responsible for loading the implementation, referred to as
 {{{http://www.slf4j.org/manual.html#swapping}"SLF4J bindings"}}.

 Logging configuration loading is actually done by logging implementation, without any Maven extensions to support merging
 Maven installation configuration with per-user configuration for example:

        this.transportContext = tc;
        this.binding = null;
    }


    /**
     * @param tc
     * @param binding
     */
    public DcerpcHandle ( CIFSContext tc, DcerpcBinding binding ) {
        this.transportContext = tc;
        this.binding = binding;
    }


    /**
     * @return the binding
     */
    public DcerpcBinding getBinding () {

// Public C API entry points
//
// These are only the generic entry points for the C API. This file does not
// have any visibility into the graph/eager implementation and is only providing
// C bindings to the abstract classes defined in the
// c_api_unified_experimental_internal.h header.
//
// =============================================================================

using tensorflow::AbstractFunction;