type minioResourceCollector struct {
	metricsGroups []*MetricsGroupV2
	desc          *prometheus.Desc
}

// Describe sends the super-set of all possible descriptors of metrics
func (c *minioResourceCollector) Describe(ch chan<- *prometheus.Desc) {
	ch <- c.desc
}

// Collect is called by the Prometheus registry when collecting metrics.

		done
	fi
	log_end_msg $return
	exit $return
	;;		
  stop)
	log_daemon_msg "Stopping $DESC"

	if [ -f "$PID_FILE" ]; then 
		start-stop-daemon --stop --pidfile "$PID_FILE" \
			--user "$FESS_USER" \
			--quiet \
			--retry forever/TERM/20 > /dev/null
		if [ $? -eq 1 ]; then
			log_progress_msg "$DESC is not running but pid file exists, cleaning up"
		elif [ $? -eq 3 ]; then
			PID="`cat $PID_FILE`"

            cb.query().docMeta().setId_Equal(jobLogPager.id);
        }
        // TODO Long, Integer, String supported only.

        // setup condition
        cb.query().addOrderBy_StartTime_Desc();
        cb.query().addOrderBy_EndTime_Desc();

        // search

    }

    public void deleteBefore(final int days) {
        final long oneday = 24 * 60 * 60 * 1000L;

  TF_SetAttrType(reduce_desc, "T", TF_FLOAT);
  TF_SetAttrInt(reduce_desc, "group_size", group_size);
  TF_SetAttrInt(reduce_desc, "group_key", 0);
  TF_SetAttrInt(reduce_desc, "instance_key", 0);

  const std::string merge_op("Mul");
  TF_SetAttrString(reduce_desc, "merge_op", merge_op.c_str(),
                   merge_op.length());
  const std::string final_op("Id");
  TF_SetAttrString(reduce_desc, "final_op", final_op.c_str(),

}

func TestJSONQueries(t *testing.T) {
	input := `{"id": 0,"title": "Test Record","desc": "Some text","synonyms": ["foo", "bar", "whatever"]}
	{"id": 1,"title": "Second Record","desc": "another text","synonyms": ["some", "synonym", "value"]}
	{"id": 2,"title": "Second Record","desc": "another text","numbers": [2, 3.0, 4]}
	{"id": 3,"title": "Second Record","desc": "another text","nested": [[2, 3.0, 4], [7, 8.5, 9]]}`

	testTable := []struct {

// tensor), as in:
//   TF_OperationDescription* desc = TF_NewOperation(graph, "Concat", "c");
//   TF_Output concat_dim_input = {...};
//   TF_AddInput(desc, concat_dim_input);
//   TF_Output values_inputs[5] = {{...}, ..., {...}};
//   TF_AddInputList(desc, values_inputs, 5);

// For inputs that take a single tensor.
TF_CAPI_EXPORT extern void TF_AddInput(TF_OperationDescription* desc,

    }

    @Deprecated
    public BsKeyMatchCQ addOrderBy_Id_Asc() {
        regOBA("_id");
        return this;
    }

    @Deprecated
    public BsKeyMatchCQ addOrderBy_Id_Desc() {
        regOBD("_id");
        return this;
    }

    public void setBoost_Equal(Float boost) {
        setBoost_Term(boost, null);
    }

@app.get("/model/{name}", response_model=ModelA)
async def get_model_a(name: str, model_c=Depends(get_model_c)):

    }

    @Deprecated
    public BsJobLogCQ addOrderBy_Id_Asc() {
        regOBA("_id");
        return this;
    }

    @Deprecated
    public BsJobLogCQ addOrderBy_Id_Desc() {
        regOBD("_id");
        return this;
    }

    public void setEndTime_Equal(Long endTime) {
        setEndTime_Term(endTime, null);
    }

    }

    @Deprecated
    public BsFileConfigCQ addOrderBy_Id_Asc() {
        regOBA("_id");
        return this;
    }

    @Deprecated
    public BsFileConfigCQ addOrderBy_Id_Desc() {
        regOBD("_id");
        return this;
    }

    public void setAvailable_Equal(Boolean available) {
        setAvailable_Term(available, null);
    }