| `minio_node_cpu_avg_load5`           | CPU load average 5min.                     |
| `minio_node_cpu_avg_load5_avg`       | CPU load average 5min (avg).               |
| `minio_node_cpu_avg_load5_max`       | CPU load average 5min (max).               |
| `minio_node_cpu_avg_load5_perc`      | CPU load average 5min (percentage).        |

class CrossVersionPerformanceTestExecutionTest extends ResultSpecification {
    def result = new CrossVersionPerformanceResults(testProject: "some-project", tasks: [], cleanTasks: [])

    def "passes when average execution time for current release is smaller than average execution time for previous releases"() {
        given:
        result.baseline("1.0").results.add(operation(totalTime: 110))
        result.baseline("1.0").results.add(operation(totalTime: 100))

class cycle class cycles class layers classes (using external classes) grouped in packages no package cycles package cycle package cycles no package packages Type Number of classes Averaged (maximum) size in bytes Averaged (maximum) number of usage by other classes Averaged (maximum) number of used internal classes Averaged (maximum) number of used external clasess Interfaces Abstract classes Concrete classes Cycles Name Number of classes Best Fragment Size Girth Radius Diameter Layer Package Cycles...

package testing

import (
	"runtime"
)

// AllocsPerRun returns the average number of allocations during calls to f.
// Although the return value has type float64, it will always be an integral value.
//
// To compute the number of allocations, the function will first be run once as
// a warm-up. The average number of allocations over the specified number of
// runs will then be measured and returned.
//

	sysCPUUser      = "user"
)

var (
	sysCPUAvgIdleMD   = NewGaugeMD(sysCPUAvgIdle, "Average CPU idle time")
	sysCPUAvgIOWaitMD = NewGaugeMD(sysCPUAvgIOWait, "Average CPU IOWait time")
	sysCPULoadMD      = NewGaugeMD(sysCPULoad, "CPU load average 1min")
	sysCPULoadPercMD  = NewGaugeMD(sysCPULoadPerc, "CPU load average 1min (percentage)")
	sysCPUNiceMD      = NewGaugeMD(sysCPUNice, "CPU nice time")

namespace tensorflow {
namespace calibrator {

using ::stablehlo::quantization::CalibrationOptions;

// AverageMinMax calibration calculates the average of min and max values.
// average of min = sum of min values / number of samples
// average of max = sum of max values / number of samples
class CalibrationStatisticsCollectorAverageMinMax
    : public CalibrationStatisticsCollectorBase {
 public:

var (
	replicationAverageActiveWorkersMD = NewGaugeMD(replicationAverageActiveWorkers,
		"Average number of active replication workers")
	replicationAverageQueuedBytesMD = NewGaugeMD(replicationAverageQueuedBytes,
		"Average number of bytes queued for replication since server start")
	replicationAverageQueuedCountMD = NewGaugeMD(replicationAverageQueuedCount,
		"Average number of objects queued for replication since server start")

| `minio_system_cpu_avg_idle`   | `gauge` | Average CPU idle time              | `server` |
| `minio_system_cpu_avg_iowait` | `gauge` | Average CPU IOWait time            | `server` |
| `minio_system_cpu_load`       | `gauge` | CPU load average 1min              | `server` |
| `minio_system_cpu_load_perc`  | `gauge` | CPU load average 1min (percentage) | `server` |

StringAttr GetAvgPoolOpPadAttr(Builder& builder, mhlo::CompositeOp op);

// Get dense attr for a matrix that corrects the over counting of divisors when
// casting an average pool with ceil mode on in terms of average pool with it
// off.
DenseFPElementsAttr GetCorrectionMatrix(Builder& builder, mhlo::CompositeOp op);

}  // namespace odml
}  // namespace mlir

  // for any `x`, `ceil(x) - floor(x) <= 1`.

  // Consider that we pad the input of a average pool with floor rounding to the
  // appropriate size and switch the rounding mode to ceil. When computing the
  // average of a given window, the elements which exist in the newly padded
  // zones will be counted as present elements. Therefore in some windows we