* @param request The model building request that holds further settings, must not be {@code null}.
     * @param problems The container used to collect problems that were encountered, must not be {@code null}.
     */
    void importManagement(
            Model target,
            List<? extends DependencyManagement> sources,
            ModelBuildingRequest request,
            ModelProblemCollector problems);

        this.projectBuilder = projectBuilder;
    }

    @Override
    public List<MavenProject> collectProjects(final MavenExecutionRequest request) throws ProjectBuildingException {
        ProjectBuildingRequest buildingRequest = request.getProjectBuildingRequest();
        ModelSource modelSource = new UrlModelSource(DefaultMaven.class.getResource("project/standalone.xml"));
        MavenProject project =

	return op
}

// If trace is enabled, execute the request if it is traced by other handlers
// otherwise, generate a trace event with request information but no response.
func httpTracerMiddleware(h http.Handler) http.Handler {
	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
		// Setup a http request response recorder - this is needed for
		// http stats requests and audit if enabled.

	for _, ep := range testServer.Disks {
		for _, disk := range ep.Endpoints {
			os.RemoveAll(disk.Path)
		}
	}
}

// Truncate request to simulate unexpected EOF for a request signed using streaming signature v4.
func truncateChunkByHalfSigv4(req *http.Request) (*http.Request, error) {
	bufReader := bufio.NewReader(req.Body)
	hexChunkSize, chunkSignature, err := readChunkLine(bufReader)
	if err != nil {
		return nil, err

pull requests are approved and pass continuous integration checks, a TensorFlow
team member will apply `ready to pull` label to your change. This means we are
working on getting your pull request submitted to our internal repository. After
the change has been submitted internally, your pull request will be merged
automatically on GitHub.

If you want to contribute, start working through the TensorFlow codebase,
navigate to the

        Doc(
            """
            By default, after a dependency is called the first time in a request, if
            the dependency is declared again for the rest of the request (for example
            if the dependency is needed by several dependencies), the value will be
            re-used for the rest of the request.

            Set `use_cache` to `False` to disable this behavior and ensure the

	errDecommissionRebalanceAlreadyRunning = errors.New("Decommission cannot be started, rebalance is already in progress")
)

func (a adminAPIHandlers) StartDecommission(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

	objectAPI, _ := validateAdminReq(ctx, w, r, policy.DecommissionAdminAction)
	if objectAPI == nil {
		return
	}

If not specified and the dependency has `yield`, it will have a `scope` of `"request"` by default.

### `scope` for sub-dependencies { #scope-for-sub-dependencies }

When you declare a dependency with a `scope="request"` (the default), any sub-dependency needs to also have a `scope` of `"request"`.

        Settings settings = new Settings();
        settings.addProfile(p);
        settings.addActiveProfile(p.getId());

        testee.populateFromSettings(request, settings);

        List<ArtifactRepository> repositories = request.getPluginArtifactRepositories();
        assertEquals(1, repositories.size());
        assertEquals(r.getId(), repositories.get(0).getId());

      "name": "type:missing reproduction steps",
      "colour": "#CF2E1F",
      "description": "missing reproduction steps"
    },
    "has_pr": {
      "name": "type:has pull request",
      "colour": "#43952A",
      "description": "has pull request"
    },
    "not_tested": {
      "name": "type:not tested",
      "colour": "#CF2E1F",
      "description": "not tested"
    },
    "tested": {
      "name": "type:tested",