},
          "exemplar": true,
          "expr": "sum by (server) (minio_cluster_replication_average_transfer_rate{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Transfer Rate (bytes/s)",
      "type": "timeseries"
    },
    {
      "datasource": {

          "expr": "sum by (server) (minio_cluster_replication_average_transfer_rate{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "thresholds": [],
      "timeRegions": [],
      "title": "Avg. Transfer Rate (bytes/s)",
      "tooltip": {
        "shared": true,
        "sort": 0,

          "expr": "sum by (server) (minio_cluster_replication_average_transfer_rate{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "thresholds": [],
      "timeRegions": [],
      "title": "Avg. Transfer Rate (bytes/s)",
      "tooltip": {
        "shared": true,
        "sort": 0,

build:rbe_base --remote_executor=grpcs://remotebuildexecution.googleapis.com
build:rbe_base --remote_timeout=3600
build:rbe_base --spawn_strategy=remote,worker,standalone,local
# Attempt to minimize the amount of data transfer between bazel and the remote
# workers:
build:rbe_base --remote_download_toplevel
test:rbe_base --test_env=USER=anon

# TODO(kanglan): Check if we want to merge rbe_linux into rbe_linux_cpu.

    protected static int copyInternal(final FileInputStream in, final FileOutputStream out) {
        final FileChannel ic = in.getChannel();
        final FileChannel oc = out.getChannel();
        return (int) ChannelUtil.transfer(ic, oc);
    }

    /**
     * リーダーの内容をライターにコピーします。
     * <p>
     * リーダー、ライターともクローズされません。
     * </p>
     *
     * @param in
     *            リーダー
     * @param out

///   * `TF_InitPlugin` function: must be present in the plugin shared object as
///     it will be called by core TensorFlow when the filesystem plugin is
///     loaded;
///   * `TF_FilesystemPluginOps` struct: used to transfer information between
///     plugins and core TensorFlow about the operations provided and metadata;
///   * `TF_FilesystemPluginInfo` struct: similar to the above structure, but