}

// request is an injectable interface representing a netlink request.
type request interface {
	Serialize() []byte
	AddData(data nl.NetlinkRequestData)
	AddRawData(data []byte)
	Execute(sockType int, resType uint16) ([][]byte, error)
}

// netlinkHandler is an implementation of the handler interface. It maintains a netlink socket
// for communication with the NFAcct subsystem.
type netlinkHandler struct {

        when:
        buildWithDependencies("""
compile('group:projectA:1.0') {
    artifact {
        name = 'projectA'
        type = 'zip'
    }
}
""")
        projectARepo1.hasPackaging("custom").hasType("custom")
        projectARepo1.artifact(type: 'zip')
        projectARepo1.publish()

        and:
        projectARepo1.pom.expectGet()
        projectARepo1.artifact(type: 'zip').expectGet()

    }

    @Nonnull
    private static ImplementationInfoImpl extractImplementationInfo(ExecutableElement input) {
        Type implementationOwner = extractType(input.getEnclosingElement().asType());
        String implementationName = input.getSimpleName().toString();
        String implementationDescriptor = extractMethodDescriptor(input);

		buf.WriteString(" (")
	}

	// <untyped kind>
	hasType := false
	switch x.mode {
	case invalid, novalue, builtin, typexpr:
		// no type
	default:
		// should have a type, but be cautious (don't crash during printing)
		if x.typ != nil {
			if isUntyped(x.typ) {
				buf.WriteString(x.typ.(*Basic).name)
				buf.WriteByte(' ')
				break
			}
			hasType = true
		}
	}

	// <mode>

            configurations { compile }
        """
        moduleA = mavenHttpRepo.module('group', 'moduleA', '2.0').allowAll().publish()
        bom = mavenHttpRepo.module('group', 'bom', '1.0')
            .hasType("pom")
            .allowAll()
    }

    MavenModule bomDependency(String artifact, List<Map<String, String>> exclusions = null) {

              np.random.uniform(size=bias_shape), dtype=dtypes.float32
          )

        self._kernel = np.random.uniform(size=y_shape).astype('f4')
        self._min = (-0.8, -0.8, -0.9)
        self._max = (0.9, 0.9, 1.0)

      @def_function.function(
          input_signature=[
              tensor_spec.TensorSpec(
                  name='x', shape=x_signature, dtype=dtypes.float32
              )
          ]

              np.random.uniform(size=bias_shape), dtype=dtypes.float32
          )

        self._kernel = np.random.uniform(size=y_shape).astype('f4')
        self._min = (-0.8, -0.8, -0.9)
        self._max = (0.9, 0.9, 1.0)

      @def_function.function(
          input_signature=[
              tensor_spec.TensorSpec(
                  name='x', shape=x_signature, dtype=dtypes.float32
              )
          ]

		buf.WriteString(" (")
	}

	// <untyped kind>
	hasType := false
	switch x.mode {
	case invalid, novalue, builtin, typexpr:
		// no type
	default:
		// should have a type, but be cautious (don't crash during printing)
		if x.typ != nil {
			if isUntyped(x.typ) {
				buf.WriteString(x.typ.(*Basic).name)
				buf.WriteByte(' ')
				break
			}
			hasType = true
		}
	}

	// <mode>

        error("type $type used in a function is not in schema scope")
    }
}


private
fun KClassifier.isInScope(typeScope: DataSchemaBuilder.PreIndex) =
    isBuiltInType || this is KClass<*> && typeScope.hasType(this)


private
val KClassifier.isBuiltInType: Boolean
    get() = when (this) {
        Int::class, String::class, Boolean::class, Long::class, Unit::class -> true
        else -> false
    }

	serviceAccounts []string // contains all the service accounts associated with the service
}

func (t *clusterCache) Type() string {
	return model.CDSType
}

func (t *clusterCache) Key() any {
	// nolint: gosec
	// Not security sensitive code
	h := hash.New()
	h.WriteString(t.clusterName)
	h.Write(Separator)
	h.WriteString(t.proxyVersion)
	h.Write(Separator)