//	        if err != nil {
//	            log.Fatal("could not create memory profile: ", err)
//	        }
//	        defer f.Close() // error handling omitted for example
//	        runtime.GC() // get up-to-date statistics
//	        if err := pprof.WriteHeapProfile(f); err != nil {
//	            log.Fatal("could not write memory profile: ", err)
//	        }
//	    }
//	}
//

//
//lint:ignore U1000 This is used by tests.
func (m *Manager) debugMsg(d debugMsg, args ...any) {
	for _, c := range m.targets {
		c.debugMsg(d, args...)
	}
}

// ConnStats returns the connection statistics for all connections.
func (m *Manager) ConnStats() madmin.RPCMetrics {
	var res madmin.RPCMetrics
	for _, c := range m.targets {
		t := c.Stats()
		res.Merge(&t)
	}
	return res

 * may cause corruption or runtime errors if not. It may however be shared amongst multiple OkHttpClient
 * instances.
 *
 * ## Cache Optimization
 *
 * To measure cache effectiveness, this class tracks three statistics:
 *
 *  * **[Request Count:][requestCount]** the number of HTTP requests issued since this cache was
 *    created.
 *  * **[Network Count:][networkCount]** the number of those requests that required network use.

    signature_def_map: _SignatureDefMap,
) -> None:
  """Runs static-range Post-Training Quantization.

  Runs static-range PTQ for the model. Runs the calibration step with
  `representative_dataset` to collect statistics required for quantization. This
  produces the quantized GraphDef along with the SignatureDefs which might have
  been modified according to the changes in the graph.

  Args:

|--------------------------|-----------------------------|
| `/cluster/health`        | Cluster health metrics      |
| `/cluster/usage/objects` | Object statistics           |
| `/cluster/usage/buckets` | Object statistics by bucket |
| `/cluster/erasure-set`   | Erasure set metrics         |
|                          |                             |

## Metrics Listing

	Pause          []time.Duration // pause history, most recent first
	PauseEnd       []time.Time     // pause end times history, most recent first
	PauseQuantiles []time.Duration
}

// ReadGCStats reads statistics about garbage collection into stats.
// The number of entries in the pause history is system-dependent;
// stats.Pause slice will be reused if large enough, reallocated otherwise.

	return c
}

// freemcache releases resources associated with this
// mcache and puts the object onto a free list.
//
// In some cases there is no way to simply release
// resources, such as statistics, so donate them to
// a different mcache (the recipient).
func freemcache(c *mcache) {
	systemstack(func() {
		c.releaseAll()
		stackcache_clear(c)

	return x
}

// An accumulator takes a windowed mutator utilization function and
// tracks various statistics for that function.
type accumulator struct {
	mmu float64

	// bound is the mutator utilization bound where adding any
	// mutator utilization above this bound cannot affect the
	// accumulated statistics.
	bound float64

	// Worst N window tracking
	nWorst int
	wHeap  utilHeap

// https://www.ams.org/journals/mcom/2001-70-234/S0025-5718-00-01197-2/S0025-5718-00-01197-2.pdf
//
// Baillie, "Extra strong Lucas pseudoprimes", OEIS A217719, https://oeis.org/A217719.
//
// Jacobsen, "Pseudoprime Statistics, Tables, and Data", http://ntheory.org/pseudoprimes.html.
//
// Nicely, "The Baillie-PSW Primality Test", https://web.archive.org/web/20191121062007/http://www.trnicely.net/misc/bpsw.html.

  Clicking on a main function shows links to the four types of
  blocking profile (see below) applied to that subset of goroutines.

  It also shows a table of specific goroutine instances, with various
  execution statistics and a link to the event timeline for each one.

  The timeline displays only the selected goroutine and any others it
  interacts with via block/unblock events. (The timeline is