throws MavenExecutionException {
        List<MavenProject> result = projects;

        if (request.getResumeFrom() != null && !request.getResumeFrom().isEmpty()) {
            File reactorDirectory = projectSelector.getBaseDirectoryFromRequest(request);

            String selector = request.getResumeFrom();

https://github.com/google/guava/wiki/HowToContribute#code-contributions
and
https://github.com/google/guava/blob/master/CONTRIBUTING.md
before sending a pull request.

We generally welcome PRs for fixing trivial bugs or typos, but please refrain
from sending a PR with significant changes unless explicitly requested.

    if (previous != null) hostnameCount = previous;
    if (hostnameCount.incrementAndGet() > 100) return;

    Request request = new Request.Builder()
        .url(url)
        .build();
    try (Response response = client.newCall(request).execute()) {
      String responseSource = response.networkResponse() != null ? ("(network: "
          + response.networkResponse().code()
          + " over "

    now served with tensorflow/serving, it will accept requests using 'inputs'
    and 'outputs'. Starting at 1.2, such a model will accept the keys specified
    during export. Therefore, inference requests using 'inputs' and 'outputs'
    may start to fail. To fix this, either update any inference clients to send
    requests with the actual input and output keys used by the trainer code, or

					Help:   d.Help,
					Type:   d.Type.String(),
					Labels: labels,
				}
				metrics = append(metrics, metric)
			}
		}
	}

	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
		contentType := r.Header.Get("Content-Type")
		if contentType == "application/json" {
			w.Header().Set("Content-Type", "application/json")
			jsonEncoder := json.NewEncoder(w)
			jsonEncoder.Encode(metrics)

    </Credentials>
  </AssumeRoleResult>
  <ResponseMetadata>
    <RequestId>c6104cbe-af31-11e0-8154-cbc7ccf896c7</RequestId>
  </ResponseMetadata>
</AssumeRoleResponse>
```

## Using AssumeRole API

```
export MINIO_ROOT_USER=minio
export MINIO_ROOT_PASSWORD=minio123
minio server ~/test
```

## REST API call to plugin

To verify the custom token presented in the `AssumeRoleWithCustomToken` API, MinIO makes a POST request to the configured identity management plugin endpoint and expects a response with some details as shown below:

### Request `POST` to plugin endpoint

Query parameters:

| Parameter Name | Value Type | Purpose                                                                 |

// errDiskNotFound - cannot find the underlying configured disk anymore.
var errDiskNotFound = StorageErr("drive not found")

// errDiskOngoingReq - indicates if the disk has an on-going request in progress.
var errDiskOngoingReq = StorageErr("drive still did not complete the request")

// errDriveIsRoot - cannot use the disk since its a root disk.
var errDriveIsRoot = StorageErr("drive is part of root drive, will not be used")

        request.setNoSnapshotUpdates(options.suppressSnapshotUpdates().orElse(false));
        request.setGoals(options.goals().orElse(List.of()));
        request.setReactorFailureBehavior(determineReactorFailureBehaviour(context));
        request.setRecursive(!options.nonRecursive().orElse(!request.isRecursive()));
        request.setOffline(options.offline().orElse(request.isOffline()));

        "Logon failure: the user has not been granted the requested logon type at this computer.",
        "The SAM database on the Windows NT Server does not have a computer account for this workstation trust relationship.",
        "The logon request failed because the trust relationship between the primary domain and the trusted domain failed.",