func (r *ReplicationStats) Update(bucket string, ri replicatedTargetInfo, status, prevStatus replication.StatusType) {
	if r == nil {
		return
	}
	var rs replStat
	switch status {
	case replication.Pending:
		if ri.OpType.IsDataReplication() && prevStatus != status {
			rs.set(ri.Arn, ri.Size, 0, status, ri.OpType, ri.endpoint, ri.secure, ri.Err)
		}
	case replication.Completed:

      first_bad_status.reset(TF_NewStatus());
      TF_SetStatus(first_bad_status.get(), TF_GetCode(async_wait_status.get()),
                   TF_Message(async_wait_status.get()));
    }
  }

  if (first_bad_status != nullptr) {
    TF_SetStatus(status, TF_GetCode(first_bad_status.get()),
                 TF_Message(first_bad_status.get()));
  }
}

                            status);
  ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

  TFE_Op* func = TFE_NewOp(ctx, "AddVariablesFunction", status);
  ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
  TFE_OpAddInput(func, packed_handle, status);
  ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
  if (remote) {
    TFE_OpSetDevice(func, task1_name, status);

void TF_GraphCopyFunction(TF_Graph* g, const TF_Function* func,
                          const TF_Function* grad, TF_Status* status) {
  if (func == nullptr) {
    status->status = InvalidArgument(
        "'func' argument to TF_GraphCopyFunction cannot be null");
    return;
  }

  tensorflow::mutex_lock l(g->mu);
  status->status = g->graph.AddFunctionDef(func->record->fdef(),

  if (h == nullptr) {
    status->status = tensorflow::errors::InvalidArgument("Invalid handle");
    return -1;
  }
  return tensorflow::unwrap(h)->DeviceId(&status->status);
}

TF_CAPI_EXPORT extern void TFE_TensorHandleGetStatus(TFE_TensorHandle* h,
                                                     TF_Status* status) {
  status->status = tensorflow::unwrap(h)->TensorHandleStatus();
}

    assert response.status_code == 200
    assert response.json() == "foo bar"


def test_query_param_query_50():
    response = client.get("/query/param?query=50")
    assert response.status_code == 200
    assert response.json() == "foo bar 50"


def test_query_param_required():
    response = client.get("/query/param-required")
    assert response.status_code == 422

def test_read_system_status():
    access_token = get_access_token()
    response = client.get(
        "/status/", headers={"Authorization": f"Bearer {access_token}"}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {"status": "ok"}


def test_read_system_status_no_token():
    response = client.get("/status/")
    assert response.status_code == 401, response.text

        protected String version = ComponentUtil.getSystemHelper().getProductVersion();
        protected int status;

        public ApiResponse status(final Status status) {
            this.status = status.getId();
            return this;
        }

        public ApiResult result() {
            return new ApiResult(this);
        }
    }

    public static class ApiUpdateResponse extends ApiResponse {

  TF_DeleteStatus(status);

  return var_handle;
}

TFE_Op* AddOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b) {
  TF_Status* status = TF_NewStatus();

  TFE_Op* op = TFE_NewOp(ctx, "AddV2", status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_OpAddInput(op, a, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_OpAddInput(op, b, status);

  if (h == nullptr) {
    status->status = tensorflow::errors::InvalidArgument("Invalid handle");
    return nullptr;
  }
  return tensorflow::unwrap(h)->BackingDeviceName(&status->status);
}

TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_TensorHandleCopySharingTensor(
    TFE_TensorHandle* h, TF_Status* status) {
  if (h == nullptr) {