return resultModel;
    }

    private List<org.apache.maven.api.model.Profile> interpolateActivations(
            List<org.apache.maven.api.model.Profile> profiles,
            DefaultProfileActivationContext context,
            DefaultModelProblemCollector problems) {
        if (profiles.stream()
                .map(org.apache.maven.api.model.Profile::getActivation)
                .noneMatch(Objects::nonNull)) {

            Set<String> profileIds = new HashSet<>();

            for (Profile profile : m.getProfiles()) {
                String prefix = "profiles.profile[" + profile.getId() + "].";

                validateProfileId(prefix, "id", problems, Severity.ERROR, Version.V40, profile.getId(), null, m);

                if (!profileIds.add(profile.getId())) {
                    addViolation(
                            problems,

// that are recorded and reported in the memory profile.
// The profiler aims to sample an average of
// one allocation per MemProfileRate bytes allocated.
//
// To include every allocated block in the profile, set MemProfileRate to 1.
// To turn off profiling entirely, set MemProfileRate to 0.
//
// The tools that process the memory profiles assume that the
// profile rate is constant across the lifetime of the program

		for _, p := range profiles {
			if p == k {
				v.Stop()
				delete(globalProfiler, k)
			}
		}
	}

	for _, profiler := range profiles {
		prof, err := startProfiler(profiler)
		if err != nil {
			s.writeErrorResponse(w, err)
			return
		}
		globalProfiler[profiler] = prof
	}
}

// DownloadProfilingDataHandler - returns profiled data.

            Set<String> profileIds = new HashSet<>();

            for (Profile profile : m.getProfiles()) {
                String prefix = "profiles.profile[" + profile.getId() + "].";

                validateProfileId(prefix, "id", problems, Severity.ERROR, Version.V40, profile.getId(), null, m);

                if (!profileIds.add(profile.getId())) {
                    addViolation(
                            problems,

	}

	for _, test := range tests {
		t.Run(test.profiler, func(t *testing.T) {
			var buf bytes.Buffer
			if err := Lookup(test.profiler).WriteTo(&buf, 0); err != nil {
				t.Fatalf("failed to write heap profile: %v", err)
			}
			p, err := profile.Parse(&buf)
			if err != nil {
				t.Fatalf("failed to parse heap profile: %v", err)
			}
			t.Logf("Profile = %v", p)

			stks := stacks(p)

    private JavaDebugOptionsInternal debugLauncher = new JavaDebugOptionsInternal(Boolean.getBoolean(LAUNCHER_DEBUG_SYSPROP));

    private String profiler = System.getProperty(PROFILE_SYSPROP, "");

    protected boolean interactive;

    protected boolean noExplicitNativeServicesDir;
    private boolean fullDeprecationStackTrace;

					"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) {

        "//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",