"sort"
	"strings"
	"time"
)

const (
	// deadline (in seconds) up to which the go routine leak detection has to be retried.
	leakDetectDeadline = 5
	// pause time (in milliseconds) between each snapshot at the end of the go routine leak detection.
	leakDetectPauseTimeMs = 50
)

// LeakDetect - type with  methods for go routine leak detection.
type LeakDetect struct {
	relevantRoutines map[string]bool
}

			Bucket:    objInfo.Bucket,
			Object:    objInfo.Name,
			VersionID: objInfo.VersionID,
			Status:    http.StatusText(http.StatusOK),
		})
	}

	// Do not send checksums in events to avoid leaks.
	hash.TransferChecksumHeader(w, r)
	writeSuccessResponseHeadersOnly(w)

	// Remove the transitioned object whose object version is being overwritten.
	if !globalTierConfigMgr.Empty() {

		return err
	}

	b, err := je.MarshalMsg(nil)
	if err != nil {
		return err
	}

	jd.Lock()
	defer jd.Unlock()
	_, err = jd.file.Write(b)
	if err != nil {
		// Do not leak fd here, close the file properly.
		Fdatasync(jd.file)
		_ = jd.file.Close()

		jd.file = nil // reset to allow subsequent reopen when file/disk is available.
	}
	return err
}

			metaArr[index].ModTime = modTime
			metaArr[index].VersionID = versionID
			if !metaArr[index].InlineData() {
				// If the data is not inlined, we may end up incorrectly
				// inlining the data here, that leads to an inconsistent
				// situation where some objects are were not inlined
				// were now inlined, make sure to `nil` the Data such
				// that xl.meta is written as expected.
				metaArr[index].Data = nil
			}

		//nolint:gocritic
		if err != nil {
			ldap.Status = string(madmin.ItemOffline)
		} else if ldapConn == nil {
			ldap.Status = "Not Configured"
		} else {
			// Close ldap connection to avoid leaks.
			ldapConn.Close()
			ldap.Status = string(madmin.ItemOnline)
		}
	}

	log, audit := fetchLoggerInfo(ctx)

	// Get the notification target info
	notifyTarget := fetchLambdaInfo()

	return dstRec, nil
}

// Close - closes underlying reader.
func (r *Reader) Close() error {
	// Close the input.
	err := r.readCloser.Close()
	for range r.valueCh {
		// Drain values so we don't leak a goroutine.
		// Since we have closed the input, it should fail rather quickly.
	}
	return err
}

// NewReader - creates new JSON reader using readCloser.

	if duration < 0 {
		return
	}
	entries := int(atomic.AddInt64(&dt.entries, 1))
	index := entries - 1
	if index < dynamicTimeoutLogSize {
		dt.mutex.Lock()
		dt.log[index] = duration

		// We leak entries while we copy
		if entries == dynamicTimeoutLogSize {

			// Make copy on stack in order to call adjust()
			logCopy := [dynamicTimeoutLogSize]time.Duration{}
			copy(logCopy[:], dt.log[:])

	}

	return f
}

type bufPool struct {
	sz   int
	pool sync.Pool
}

func (b *bufPool) Put(buf []byte) {
	if cap(buf) < b.sz || cap(buf) > b.sz*2 {
		// Buffer too small or will likely leak memory after being expanded.
		// Drop it.
		return
	}
	b.pool.Put(&buf)
}

func (b *bufPool) Get() []byte {
	bufp := b.pool.Get().(*[]byte)
	return (*bufp)[:b.sz]
}

are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards nodes which leads to next best GCD factor of 12 which provides uniform distribution.

- In this algorithm, we also make sure that we spread the drives out evenly. MinIO server expands ellipses passed as arguments. Here is a sample expansion to demonstrate the...

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package bpool

import "github.com/klauspost/reedsolomon"

// BytePoolCap implements a leaky pool of []byte in the form of a bounded channel.
type BytePoolCap struct {
	c    chan []byte
	w    int
	wcap int
}

// NewBytePoolCap creates a new BytePool bounded to the given maxSize, with new