<mxCell id="32" value="" style="pointerEvents=1;shadow=0;dashed=0;html=1;fillColor=#505050;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;outlineConnect=0;align=center;shape=mxgraph.office.devices.laptop;strokeColor=none;" parent="33" vertex="1">
                    <mxGeometry width="500" height="350" as="geometry"/>
                </mxCell>

	"Internal Server Error":           http.StatusInternalServerError,
	"Not Implemented":                 http.StatusNotImplemented,
	"Bad Gateway":                     http.StatusBadGateway,
	"Service Unavailable":             http.StatusServiceUnavailable,
	"Gateway Timeout":                 http.StatusGatewayTimeout,
	"HTTP Version Not Supported":      http.StatusHTTPVersionNotSupported,

}

// Populates prometheus with bucket usage metrics, this metrics
// is only enabled if scanner is enabled.
func bucketUsageMetricsPrometheus(ch chan<- prometheus.Metric) {
	objLayer := newObjectLayerFn()
	// Service not initialized yet
	if objLayer == nil {
		return
	}

	dataUsageInfo, err := loadDataUsageFromBackend(GlobalContext, objLayer)
	if err != nil {
		return
	}

import java.util.stream.Collectors;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.fess.app.pager.CharMappingPager;
import org.codelibs.fess.app.service.CharMappingService;
import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.admin.dict.mapping.UploadForm;
import org.codelibs.fess.app.web.api.ApiResult;

import java.util.stream.Collectors;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.fess.app.pager.StemmerOverridePager;
import org.codelibs.fess.app.service.StemmerOverrideService;
import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.admin.dict.stemmeroverride.UploadForm;
import org.codelibs.fess.app.web.api.ApiResult;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.fess.Constants;
import org.codelibs.fess.app.pager.SchedulerPager;
import org.codelibs.fess.app.service.ScheduledJobService;
import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.api.ApiResult;
import org.codelibs.fess.app.web.api.ApiResult.ApiResponse;
import org.codelibs.fess.app.web.api.ApiResult.Status;

import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.Constants;
import org.codelibs.fess.app.pager.WebConfigPager;
import org.codelibs.fess.app.service.WebConfigService;
import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.api.ApiResult;
import org.codelibs.fess.app.web.api.ApiResult.ApiConfigResponse;

  }
  std::vector<std::unique_ptr<tensorflow::Device>> devices;
  status->status = tensorflow::DeviceFactory::AddDevices(
      opts->session_options.options, "/job:localhost/replica:0/task:0",
      &devices);
  if (!status->status.ok()) return nullptr;
  std::unique_ptr<tensorflow::DeviceMgr> device_mgr(
      new tensorflow::DynamicDeviceMgr(std::move(devices)));

  // +optional
  optional string apiVersion = 3;
}

// ExternalMetricSource indicates how to scale on a metric not associated with
// any Kubernetes object (for example length of queue in cloud
// messaging service, or QPS from loadbalancer running outside of cluster).
message ExternalMetricSource {
  // metric identifies the target metric by name and selector
  optional MetricIdentifier metric = 1;

  // +optional
  optional string apiVersion = 3;
}

// ExternalMetricSource indicates how to scale on a metric not associated with
// any Kubernetes object (for example length of queue in cloud
// messaging service, or QPS from loadbalancer running outside of cluster).
// Exactly one "target" type should be set.
message ExternalMetricSource {
  // metricName is the name of the metric in question.
  optional string metricName = 1;