if (noOptionsSpecified || allOptionsDisabled) {
            return true;
        }

        // Check if --model is explicitly set (and not part of "all disabled" scenario)
        if (options.model().isPresent()) {
            return options.model().get();
        }

        return false;
    }

    @Override
    public String getDescription() {

### Multi destination replication

The replication design for multiple sites works in a similar manner as described above for two site scenario. However there are some
important exceptions.

### WebIdentityAccessToken (MinIO Extension)

There are situations when identity provider does not provide user claims in `id_token` instead it needs to be retrieved from UserInfo endpoint, this extension is only useful in this scenario. This is rare so use it accordingly depending on your Identity provider implementation. `access_token` is available as part of the OIDC authentication flow similar to `id_token`.

| Params     | Value    |

    server.enqueue(builder.build())
    if (responseCode == HttpURLConnection.HTTP_CLIENT_TIMEOUT) {
      // 408's are a bit of an outlier because we may repeat the request if we encounter this
      // response code. In this scenario, there are 2 responses: the initial 408 and then the 200
      // because of the retry. We just want to ensure the initial 408 isn't cached.
      expectedResponseCode = 200
      server.enqueue(
        MockResponse

}

// updates rebalance.bin from let's say 2 pool setup in the middle
// of a rebalance, was expanded can cause z.rebalMeta to be outdated
// due to a missing new pool. This function tries to handle this
// scenario, albeit rare it seems to have occurred in the wild.
//
// since we do not explicitly disallow it, but it is okay for them
// expand and then we continue to rebalance.

    // causing the thread to be suspended for 3.5 seconds, and then park itself for 2 seconds after
    // being resumed. To avoid a flake in this scenario, calculate how long that thread actually
    // waited and assert based on that time. Empirically, the race where the thread ends up waiting
    // for 5.5 seconds happens about 2% of the time.

        // have a model that is suitable, yet more checks are done here and the one for the version is problematic
        // before because with parents as ranges it will never work in this scenario.
        //

        String groupId = candidateModel.getGroupId();
        if (groupId == null && candidateModel.getParent() != null) {
            groupId = candidateModel.getParent().getGroupId();
        }

### One Process per Container { #one-process-per-container }

In this type of scenario, you probably would want to have **a single (Uvicorn) process per container**, as you would already be handling replication at the cluster level.

    // causing the thread to be suspended for 3.5 seconds, and then park itself for 2 seconds after
    // being resumed. To avoid a flake in this scenario, calculate how long that thread actually
    // waited and assert based on that time. Empirically, the race where the thread ends up waiting
    // for 5.5 seconds happens about 2% of the time.

	m, ok := isObjectDangling(metaArr, errs, dataErrsByPart)
	if !ok {
		// We only come here if we cannot figure out if the object
		// can be deleted safely, in such a scenario return ReadQuorum error.
		return FileInfo{}, errErasureReadQuorum
	}
	tags := make(map[string]string, 16)
	tags["set"] = strconv.Itoa(er.setIndex)
	tags["pool"] = strconv.Itoa(er.poolIndex)