requestBody.put("sort_order", 1);
        checkMethodBase(requestBody).put("/api/admin/webconfig/setting").then().body("response.created", equalTo(true))
                .body("response.status", equalTo(0));
    }

    String getWebConfigId() {
        final Map<String, Object> searchBody = new HashMap<>();
        searchBody.put("name", "test_webconfig");

                                           TF_Status* status);

void RecordMutation(TF_Graph* graph, const TF_Operation& op,
                    const char* mutation_type)
    TF_EXCLUSIVE_LOCKS_REQUIRED(graph->mu);

bool ExtendSessionGraphHelper(TF_Session* session, TF_Status* status)
    TF_LOCKS_EXCLUDED(session->graph->mu, session->mu);

        WebSocket,
        WebSocketException,
        status,
    )

    app = FastAPI()

    @app.websocket("/items/{item_id}/ws")
    async def websocket_endpoint(
        *,
        websocket: WebSocket,
        session: Annotated[str | None, Cookie()] = None,
        item_id: str,
    ):
        if session is None:
            raise WebSocketException(code=status.WS_1008_POLICY_VIOLATION)
        await websocket.accept()

#define TENSORFLOW_C_EAGER_ABSTRACT_OP_ATTRS_H_

#include "absl/container/inlined_vector.h"
#include "tensorflow/core/framework/attr_value.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {

// Attributes of an op.
class AbstractOpAttrs {
 protected:
  enum AbstractOpAttrsKind { kEager, kTfrt };
  explicit AbstractOpAttrs(AbstractOpAttrsKind kind) : kind_(kind) {}

            }

            // context/auth loop not yet complete
            final boolean status = spnegoResponse.isStatusSet();
            if (logger.isDebugEnabled()) {
                logger.debug("isStatusSet: {}", status);
            }
            if (status) {
                return new ActionResponseCredential(() -> {

           "cluster": "outbound|8000||httpbin.default.svc.cluster.local",
           "timeout": "0s",
           "retry_policy": {
            "retry_on": "connect-failure,refused-stream,unavailable,cancelled,retriable-status-codes",
            "num_retries": 2,
            "retry_host_predicate": [
             {
              "name": "envoy.retry_host_predicates.previous_hosts",
              "typed_config": {

| token          | string     | Token from the AssumeRoleWithCustomToken call for external verification |

### Response

If the token is valid and access is approved, the plugin must return a `200` (OK) HTTP status code.

A `200 OK` Response should have `application/json` content-type and body with the following structure:

```json
{
    "user": <string>,
    "maxValiditySeconds": <integer>,
    "claims": <key-value-pairs>

        return asJson(new ApiResult.ApiSystemInfoResponse().bugReportProps(bugReportItems).envProps(envItems).fessProps(fessPropItems)
                .systemProps(propItems).status(ApiResult.Status.OK).result());
    }

from typing import Annotated

from fastapi import Depends, FastAPI, HTTPException, status
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel

fake_users_db = {
    "johndoe": {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret",
        "disabled": False,
    },
    "alice": {

  int num_dims = TF_NumDims(t);
  for (int i = 0; i < num_dims; i++) {
    out_dims[i] = TF_Dim(t, i);
  }
}

// Runs model as is if output is a scalar,
// else sums the output tensor before returning.
absl::Status RunAndMaybeSum(AbstractContext* ctx, Model forward,
                            absl::Span<AbstractTensorHandle* const> inputs,
                            absl::Span<AbstractTensorHandle*> outputs,