TestScalarTensorHandle(context.get(), 111.f), TFE_DeleteTensorHandle);
  op.reset(TFE_NewOp(context.get(), "AssignVariableOp", status.get()));
  TFE_OpSetAttrType(op.get(), "dtype", TF_FLOAT);
  TFE_OpAddInput(op.get(), var_handle, status.get());
  TFE_OpAddInput(op.get(), one.get(), status.get());
  TFE_OpSetDevice(op.get(), name, status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());

    assertEquals(Long.valueOf(0), ArbitraryInstances.get(Long.class));
    assertEquals(Float.valueOf(0), ArbitraryInstances.get(float.class));
    assertEquals(Float.valueOf(0), ArbitraryInstances.get(Float.class));
    assertEquals(Double.valueOf(0), ArbitraryInstances.get(double.class));
    assertEquals(Double.valueOf(0), ArbitraryInstances.get(Double.class));

    if (TF_GetCode(status.get()) != TF_OK) return;
    TFE_OpSetDevice(op.get(), device_name, status.get());
    if (TF_GetCode(status.get()) != TF_OK) return;

    TFE_TensorHandle* result_handles;
    int num_retvals = 1;
    TFE_Execute(op.get(), &result_handles, &num_retvals, status.get());
    ASSERT_TRUE(TF_GetCode(status.get()) == TF_INVALID_ARGUMENT)
        << TF_Message(status.get());

			ClientKey:       env.Get(clientKeyEnv, kv.Get(target.NATSClientKey)),
			Token:           env.Get(tokenEnv, kv.Get(target.NATSToken)),
			TLS:             env.Get(tlsEnv, kv.Get(target.NATSTLS)) == config.EnableOn,
			TLSSkipVerify:   env.Get(tlsSkipVerifyEnv, kv.Get(target.NATSTLSSkipVerify)) == config.EnableOn,
			PingInterval:    pingInterval,
			QueueDir:        env.Get(queueDirEnv, kv.Get(target.NATSQueueDir)),

    finally:
        state["context_b"] = f"finished b with a: {state['context_a']}"


@app.get("/async")
async def get_async(state: str = Depends(asyncgen_state)):
    return state


@app.get("/sync")
async def get_sync(state: str = Depends(generator_state)):
    return state


@app.get("/async_raise")
async def get_async_raise(state: str = Depends(asyncgen_state_try)):
    assert state == "asyncgen raise started"

            result.setDisplayName(DfTypeUtil.toString(source.get("displayName")));
            result.setEmployeeNumber(DfTypeUtil.toString(source.get("employeeNumber")));
            result.setEmployeeType(DfTypeUtil.toString(source.get("employeeType")));
            result.setFacsimileTelephoneNumber(DfTypeUtil.toString(source.get("facsimileTelephoneNumber")));

app = FastAPI()


user_router = APIRouter()
item_router = APIRouter()


@user_router.get("/")
def get_users():
    return [{"user_id": "u1"}, {"user_id": "u2"}]


@user_router.get("/{user_id}")
def get_user(user_id: str):
    return {"user_id": user_id}


@item_router.get("/")
def get_items(user_id: Optional[str] = None):
    if user_id is None:

    assertEquals(Long.valueOf(0), ArbitraryInstances.get(Long.class));
    assertEquals(Float.valueOf(0), ArbitraryInstances.get(float.class));
    assertEquals(Float.valueOf(0), ArbitraryInstances.get(Float.class));
    assertEquals(Double.valueOf(0), ArbitraryInstances.get(double.class));
    assertEquals(Double.valueOf(0), ArbitraryInstances.get(Double.class));

      TFE_NewOp(context.get(), "VarHandleOp", status.get()), TFE_DeleteOp);
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  TFE_OpSetAttrType(handle_op.get(), "dtype", TF_FLOAT);
  TFE_OpSetAttrShape(handle_op.get(), "shape", /*dims=*/nullptr, /*num_dims=*/0,
                     status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  auto outputs =

    ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
    std::array<TensorHandlePtr, 2> components;
    ExtractPerDeviceValues(context, read.get(), &components, status.get());
    ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());

    ExpectScalarEq<float>(components[0].get(), 20.);
    ExpectScalarEq<float>(components[1].get(), 20.);