}

void CheckTFE_TensorHandleHasFloats(TFE_TensorHandle* handle,
                                    const std::vector<float>& expected_values) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);
  TF_Tensor* t = TFE_TensorHandleResolve(handle, status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

// there are more than one), or "" otherwise.
std::string GPUDeviceName(TF_Session* session) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);
  TF_Status* s = status.get();
  std::unique_ptr<TF_DeviceList, decltype(&TF_DeleteDeviceList)> list(
      TF_SessionListDevices(session, s), TF_DeleteDeviceList);
  TF_DeviceList* device_list = list.get();

// Start the batch expiration job, resumes if there was a pending job via "job.ID"
func (r *BatchJobExpire) Start(ctx context.Context, api ObjectLayer, job BatchJobRequest) error {
	ri := &batchJobInfo{
		JobID:     job.ID,
		JobType:   string(job.Type()),
		StartTime: job.Started,
	}
	if err := ri.loadOrInit(ctx, api, job); err != nil {
		return err
	}

	globalBatchJobsMetrics.save(job.ID, ri)
	lastObject := ri.Object

	}

	if !hasExistingObjEnabled {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrReplicationNoExistingObjects), r.URL)
		return
	}

	tgtArns := config.FilterTargetArns(
		replication.ObjectOpts{
			OpType:    replication.ResyncReplicationType,
			TargetArn: arn,
		})

	if len(tgtArns) == 0 {
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErrWithErr(ErrBadRequest, InvalidArgument{
			Bucket: bucket,

		// quorum + 1 when tolerance is exactly half of the
		// total locker clients.
		if quorum == tolerance {
			quorum++
		}
	}

	log("lockBlocking %s/%s for %#v: lockType readLock(%t), additional opts: %#v, quorum: %d, tolerance: %d, lockClients: %d\n", id, source, dm.Names, isReadLock, opts, quorum, tolerance, len(restClnts))

	tolerance = len(restClnts) - quorum
	attempt := uint(0)

constraints.Mod10Check.message = {value} の Modulo 10 チェックサムが正しくありません。
constraints.Mod11Check.message = {value} の Modulo 11 チェックサムが正しくありません。
constraints.ModCheck.message = {value} の {modType} チェックサムが正しくありません。
constraints.NotBlank.message = {item} は未入力です。
constraints.NotEmpty.message = {item} は未入力です。
constraints.ParametersScriptAssert.message = スクリプト式「{script}」がtrueではありません。

                               tensorflow::CustomDevice* device,
                               tensorflow::DataType dtype, void* data,
                               TFE_CustomDeviceTensorHandleMethods methods)
      : tensorflow::CustomDeviceTensorHandle(context, device, dtype),
        data_(data),
        methods_(methods) {}

  ~CAPICustomDeviceTensorHandle() override { methods_.deallocator(data_); }

		if m.Aggregated.BatchJobs == nil {
			return metrics
		}

		for _, mj := range m.Aggregated.BatchJobs.Jobs {
			jtype := toSnake(mj.JobType)
			var objects, objectsFailed float64
			var bucket string
			switch madmin.BatchJobType(mj.JobType) {
			case madmin.BatchJobReplicate:
				objects = float64(mj.Replicate.Objects)
				objectsFailed = float64(mj.Replicate.ObjectsFailed)

	limitStr := r.Form.Get("limit")
	limitLines, err := strconv.Atoi(limitStr)
	if err != nil {
		limitLines = 10
	}

	logKind := madmin.LogKind(strings.ToUpper(r.Form.Get("logType"))).LogMask()
	if logKind == 0 {
		logKind = madmin.LogMaskAll
	}

	// Avoid reusing tcp connection if read timeout is hit
	// This is needed to make r.Context().Done() work as

,"obj","nodeType","item","isWindow","preservedScriptAttributes","type","src","nonce","noModule","DOMEval","code","node","doc","i","val","script","createElement","text","getAttribute","setAttribute","head","appendChild","parentNode","removeChild","toType","version","rhtmlSuffix","jQuery","selector","context","fn","init","isArrayLike","length","nodeName","elem","name","toLowerCase","prototype","jquery","constructor","toArray","get","num","pushStack","elems","ret","merge","prevObject","each","callb...