bp.Put(make([]byte, bp.w, bp.wcap-1)) // wrong capacity is rejected (less)
	bp.Put(make([]byte, bp.w, bp.wcap+1)) // wrong capacity is rejected (more)
	bp.Put(make([]byte, width))           // wrong capacity is rejected (very less)
	if len(bp.c) > 0 {
		t.Fatal("bytepool should have rejected invalid packets")
	}

	// Try putting a short slice into pool
	bp.Put(make([]byte, bp.w, bp.wcap)[:2])
	if len(bp.c) != 1 {

				clauseSelect.Columns = make([]clause.Column, len(db.Statement.Schema.DBNames))
				for idx, dbName := range db.Statement.Schema.DBNames {
					clauseSelect.Columns[idx] = clause.Column{Table: db.Statement.Table, Name: dbName}
				}
			}

			specifiedRelationsName := make(map[string]interface{})
			for _, join := range db.Statement.Joins {

)

var wg sync.WaitGroup        // outstanding fetches
var urlq = make(chan string) // URLs to crawl

// urlFrag is a URL and its optional #fragment (without the #)
type urlFrag struct {
	url, frag string
}

var (
	mu          sync.Mutex
	crawled     = make(map[string]bool)      // URL without fragment -> true
	neededFrags = make(map[urlFrag][]string) // URL#frag -> who needs it
)

and not yet overwritten.
These implementation constraints make Go more like Java or JavaScript,
in that most races have a limited number of outcomes,
and less like C and C++, where the meaning of any program with a race
is entirely undefined, and the compiler may do anything at all.
Go's approach aims to make errant programs more reliable and easier to debug,

	newFormats := make([][]*formatErasureV3, setCount)
	for i := range refFormat.Erasure.Sets {
		newFormats[i] = make([]*formatErasureV3, setDriveCount)
	}
	currentDisksInfo := make([][]DiskInfo, setCount)
	for i := range refFormat.Erasure.Sets {
		currentDisksInfo[i] = make([]DiskInfo, setDriveCount)
	}
	for i := range refFormat.Erasure.Sets {

		return
	}
	if e.Children == nil {
		e.Children = make(dataUsageHashMap, 1)
	}
	e.Children[hash.Key()] = struct{}{}
}

// Create a clone of the entry.
func (e dataUsageEntry) clone() dataUsageEntry {
	// We operate on a copy from the receiver.
	if e.Children != nil {
		ch := make(dataUsageHashMap, len(e.Children))
		for k, v := range e.Children {
			ch[k] = v
		}

		inlineConds      []interface{}
	)

	if rel.JoinTable != nil {
		var (
			joinForeignFields    = make([]*schema.Field, 0, len(rel.References))
			joinRelForeignFields = make([]*schema.Field, 0, len(rel.References))
			joinForeignKeys      = make([]string, 0, len(rel.References))
		)

		for _, ref := range rel.References {
			if ref.OwnPrimaryKey {

	metadataArray := make([]*xlMetaV2, len(rawFileInfos))
	metaFileInfos := make([]FileInfo, len(rawFileInfos))
	metadataShallowVersions := make([][]xlMetaV2ShallowVersion, len(rawFileInfos))
	var v2bufs [][]byte
	if !readData {
		v2bufs = make([][]byte, len(rawFileInfos))
	}

	// Read `xl.meta` in parallel across disks.

	}

	writers := make([]io.Writer, len(disks))
	for i, disk := range disks {
		if disk == nil {
			continue
		}
		writers[i] = newBitrotWriter(disk, "", "testbucket", "object", erasure.ShardFileSize(size), DefaultBitrotAlgorithm, erasure.ShardSize())
	}

	content := make([]byte, size)
	buffer := make([]byte, blockSizeV2, 2*blockSizeV2)

	stashBuffer   []byte
}

// newParallelReader returns parallelReader.
func newParallelReader(readers []io.ReaderAt, e Erasure, offset, totalLength int64) *parallelReader {
	r2b := make([]int, len(readers))
	for i := range r2b {
		r2b[i] = i
	}
	bufs := make([][]byte, len(readers))
	shardSize := int(e.ShardSize())
	var b []byte

	// We should always have enough capacity, but older objects may be bigger