"name":"TestDistribution"
				},
				"subprojects":[
					"scala",
					"plugins-java-base",
					"build-cache",
					"messaging",
					"war",
					"java-platform",
					"build-profile",
					"resources-gcs",
					"ear",
					"plugins-distribution",
					"build-cache-local"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},

                .collect(Collectors.toMap(Profile::getId, Profile::getActivation));
    }

    private Model injectProfileActivations(Model model, Map<String, Activation> activations) {
        List<Profile> profiles = new ArrayList<>();
        boolean modified = false;
        for (Profile profile : model.getProfiles()) {
            Activation activation = profile.getActivation();
            if (activation != null) {

type DICS_FLAG uint32

const (
	DICS_FLAG_GLOBAL         DICS_FLAG = 0x00000001 // make change in all hardware profiles
	DICS_FLAG_CONFIGSPECIFIC DICS_FLAG = 0x00000002 // make change in specified profile only
	DICS_FLAG_CONFIGGENERAL  DICS_FLAG = 0x00000004 // 1 or more hardware profile-specific changes to follow (obsolete)
)

// PropChangeParams is a structure corresponding to a DIF_PROPERTYCHANGE install function.

        "//tensorflow/core/platform:stringpiece",
        "//tensorflow/core/platform:types",
        "//tensorflow/core/profiler/internal:print_model_analysis",
        "//tensorflow/core/profiler/lib:traceme",
        "//tensorflow/core/profiler/rpc/client:profiler_client_impl",
        "//tensorflow/core/profiler/rpc:profiler_server_impl",
        "//tensorflow/core/util:managed_stack_trace",
        "//tensorflow/core:all_kernels",

	memProfile = flag.String("test.memprofile", "", "write an allocation profile to `file`")
	memProfileRate = flag.Int("test.memprofilerate", 0, "set memory allocation profiling `rate` (see runtime.MemProfileRate)")
	cpuProfile = flag.String("test.cpuprofile", "", "write a cpu profile to `file`")
	blockProfile = flag.String("test.blockprofile", "", "write a goroutine blocking profile to `file`")

    "//tensorflow/core/kernels/data:optional_ops",
    "//tensorflow/core/kernels/data:prefetch_dataset_op",
    "//tensorflow/core/kernels/data:options_dataset_op",
    "//tensorflow/core/profiler/lib:traceme",
    "//tensorflow/core/tfrt/common:async_value_tensor",
    "@local_xla//xla/stream_executor/integrations:tf_allocator_adapter",
    "@local_xla//xla/stream_executor/platform",
]

cc_library(

For example, given a piece of code in either settings or build file:
```
if (System.getProperty("profile") == "custom") {
    println("custom profile")
} else {
    println("default profile")
}
```

		Gosched()
	}

	// Callers may assume that the heap profile reflects the
	// just-completed cycle when this returns (historically this
	// happened because this was a STW GC), but right now the
	// profile still reflects mark termination N, not N+1.
	//
	// As soon as all of the sweep frees from cycle N+1 are done,
	// we can go ahead and publish the heap profile.
	//
	// First, wait for sweeping to finish. (We know there are no

	moveRequestCycle int64

	// preEnqueuePluginMap is keyed with profile name, valued with registered preEnqueue plugins.
	preEnqueuePluginMap map[string][]framework.PreEnqueuePlugin
	// queueingHintMap is keyed with profile name, valued with registered queueing hint functions.
	queueingHintMap QueueingHintMapPerProfile

	// closed indicates that the queue is closed.

    - jsonPath: .spec.peerAddress
      name: Address
      type: string
    - jsonPath: .spec.peerASN
      name: ASN
      type: string
    - jsonPath: .spec.bfdProfile
      name: BFD Profile
      type: string
    - jsonPath: .spec.ebgpMultiHop
      name: Multi Hops
      type: string
    name: v1beta1
    schema:
      openAPIV3Schema: