} else {
        return false;
      }
    } else if (attr.first == "value") {
      if (attr.second.has_tensor() &&
          attr.second.tensor().int_val_size() == 1 &&
          attr.second.tensor().int_val(0) == v) {
        found_value = true;
      } else {
        return false;
      }
    }
  }
  return found_dtype && found_value;
}

bool IsAddN(const tensorflow::NodeDef& node_def, int n) {

     */
    public static class IntervalRule {
        /** Starting hour of the interval */
        protected int fromHours;

        /** Starting minute of the interval */
        protected int fromMinutes;

        /** Ending hour of the interval */
        protected int toHours;

        /** Ending minute of the interval */
        protected int toMinutes;

            }
        }
        return readInterval;
    }

    /**
     * Sleep for the specified interval.
     * @param interval The interval.
     */
    protected void sleep(final long interval) {
        ThreadUtil.sleepQuietly(interval);
    }

    /**
     * Store the data.
     * @param dataConfig The data configuration.
     * @param callback The callback.

 * It includes functionality for updating configurations in a separate thread and controlling the reloading interval.
 */
public abstract class AbstractConfigHelper {

    /**
     * Default constructor.
     */
    public AbstractConfigHelper() {
        // Default constructor
    }

    /**
     * The interval for reloading.
     */
    protected long reloadInterval = 1000L;

    /**

    /**
     * Gets the recommended heartbeat interval.
     *
     * @return the recommended heartbeat interval in milliseconds
     */
    public long getRecommendedHeartbeatInterval() {
        return recommendedHeartbeatInterval;
    }

    /**
     * Sets the recommended heartbeat interval.
     *
     * @param recommendedHeartbeatInterval the recommended heartbeat interval in milliseconds
     */

          "exemplar": true,
          "expr": "sum by (bucket,range) (minio_bucket_objects_size_distribution{job=~\"$scrape_jobs\"})",
          "format": "time_series",
          "instant": false,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "{{bucket,range}}",
          "refId": "A",
          "step": 300
        }
      ],
      "title": "Object Size Distribution",

          },
          "exemplar": true,
          "expr": "time() - max(minio_node_process_starttime_seconds{job=~\"$scrape_jobs\"})",
          "format": "time_series",
          "instant": true,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "{{instance}}",
          "metric": "process_start_time_seconds",
          "refId": "A",
          "step": 60
        }
      ],

            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "sum by (server) (minio_node_replication_average_active_workers{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Active Workers",
      "type": "timeseries"
    },
    {

            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "sum by (server) (minio_cluster_replication_received_bytes{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Received Data",
      "type": "timeseries"
    },
    {

          "exemplar": true,
          "expr": "max(minio_node_drive_total{job=~\"$scrape_jobs\",server=\"$server\"})",
          "format": "table",
          "hide": false,
          "instant": true,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "",
          "metric": "process_start_time_seconds",
          "refId": "A",
          "step": 60
        }
      ],