final List<String> versionList = new ArrayList<>();
        boolean isName = true;
        for (final String value : baseName.split("-")) {
            if (isName && value.length() > 0 && value.charAt(0) >= '0' && value.charAt(0) <= '9') {
                isName = false;
            }
            if (isName) {
                nameList.add(value);
            } else {
                versionList.add(value);

  TFE_DeleteContext(ctx);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteStatus(status);
}
BENCHMARK(BM_InitOp);

void BM_Execute(::testing::benchmark::State& state) {
  const int async = state.range(0);
  state.SetLabel(async ? "ExecuteAsync" : "Execute");
  TF_Status* status = TF_NewStatus();
  TFE_ContextOptions* opts = TFE_NewContextOptions();

  // Set up distributed execution environment on local and remote tasks.
  // When `reset_context` is true, initialize new cluster context state based
  // on cluster configurations provided in `server_def`; otherwise, update
  // existing context state with the provided `server_def`. Contexts created
  // on remote tasks will be considered stale and garbage collected after
  // `keep_alive_secs` of inactivity.

// SRStateEdit - PUT /minio/admin/v3/site-replication/state/edit
//
// used internally to tell current cluster to update site replication state
func (a adminAPIHandlers) SRStateEdit(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

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

	var state madmin.SRStateEditReq

		props.MinioEnvVars[key] = value
	}

	objLayer := newObjectLayerFn()
	if objLayer != nil {
		storageInfo := objLayer.LocalStorageInfo(GlobalContext, metrics)
		props.State = string(madmin.ItemOnline)
		props.Disks = storageInfo.Disks
	} else {
		props.State = string(madmin.ItemInitializing)
		props.Disks = getOfflineDisks("", globalEndpoints)
	}

	return props

class ReviewNode(BaseModel):
    author: Union[Author, None] = None
    state: str


class Reviews(BaseModel):
    nodes: List[ReviewNode]


class PullRequestNode(BaseModel):
    number: int
    labels: Labels
    author: Union[Author, None] = None
    title: str
    createdAt: datetime
    state: str
    comments: Comments
    reviews: Reviews

			Description: `comma separated list of etcd endpoints` + defaultHelpPostfix(Endpoints),
			Type:        "csv",
			Sensitive:   true,
		},
		config.HelpKV{
			Key:         PathPrefix,
			Description: `namespace prefix to isolate tenants` + defaultHelpPostfix(PathPrefix),
			Optional:    true,
			Type:        "path",
		},
		config.HelpKV{
			Key:         CoreDNSPath,
			Description: `shared bucket DNS records` + defaultHelpPostfix(CoreDNSPath),

```python
from fastapi import FastAPI
```

::: fastapi.FastAPI
    options:
        members:
            - openapi_version
            - webhooks
            - state
            - dependency_overrides
            - openapi
            - websocket
            - include_router
            - get
            - put
            - post
            - delete
            - options

            }
        }).orElseThrow(() -> new SsoMessageException(
                messages -> messages.addErrorsFailedToProcessSsoRequest(UserMessages.GLOBAL_PROPERTY_KEY, "Invalid state."),
                "Failed to process metadata.", new SsoProcessException("Invalid state.")));
    }

    protected ActionResponse getLogoutResponse() {
        LaRequestUtil.getOptionalRequest().map(request -> {
            if (logger.isDebugEnabled()) {

{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }