resolver := metadataResolutionParams{
		dirQuorum: listingQuorum,
		objQuorum: listingQuorum,
		bucket:    o.Bucket,
	}

	// Maximum versions requested for "latest" object
	// resolution on versioned buckets, this is to be only
	// used when o.Versioned is false
	if !o.Versioned {
		resolver.requestedVersions = 1
	}
	var limit int
	if o.Limit > 0 && o.StopDiskAtLimit {

deletes, existing object replication and replica modification sync are all enabled. If you are using older mc versions, the ARN needs to be generated as a separate step before adding a replication rule.

> NOTE: If you are using a mc version below `RELEASE.2022-12-24T15-21-38Z`, the --remote-bucket flag needs an ARN generated by `mc admin bucket remote add` command. For  mc versions RELEASE.2021-09-02T09-21-27Z and older, the remote target ARN needs to be passed in the --arn flag and actual...

<?xml version="1.0" encoding="UTF-8"?>
<metadata>
  <groupId>org.apache.maven.its</groupId>
  <artifactId>parent</artifactId>
  <version>0.1</version>
  <versioning>
    <versions>
      <version>0.1</version>
    </versions>
  </versioning>

	storageEndpoints := er.getEndpoints()

	// When versionID is empty, we read directly from the `null` versionID for healing.
	if versionID == "" {
		versionID = nullVersionID
	}

	// Perform quick read without lock.
	// This allows to quickly check if all is ok or all are missing.
	_, errs := readAllFileInfo(healCtx, storageDisks, "", bucket, object, versionID, false, false)
	if isAllNotFound(errs) {

			}
		}
		content.Owner = owner
		content.VersionID = object.VersionID
		if content.VersionID == "" {
			content.VersionID = nullVersionID
		}
		content.IsLatest = object.IsLatest
		content.isDeleteMarker = object.DeleteMarker
		versions = append(versions, content)
	}

	data.Name = bucket
	data.Versions = versions
	data.EncodingType = encodingType

During bazel build all TensorFlow's Python dependencies are pinned to their
specific versions. This is necessary to ensure reproducibility of the build.
The pinned versions of the full transitive closure of TensorFlow's dependencies
together with their corresponding hashes are specified in
`requirements_lock_<python version>.txt` files (e.g.
`requirements_lock_3_12.txt` for `Python 3.12`).

To update the lock files, make sure

	if oi.DeleteMarker || !oi.VersionPurgeStatus.Empty() {
		dsc = checkReplicateDelete(GlobalContext, oi.Bucket, ObjectToDelete{
			ObjectV: ObjectV{
				ObjectName: oi.Name,
				VersionID:  oi.VersionID,
			},
		}, oi, ObjectOptions{
			Versioned:        globalBucketVersioningSys.PrefixEnabled(oi.Bucket, oi.Name),
			VersionSuspended: globalBucketVersioningSys.PrefixSuspended(oi.Bucket, oi.Name),
		}, nil)
	} else {

	Size      int64
	Objects   uint64
	Versions  uint64 // Versions that are not delete markers.
	ObjSizes  sizeHistogram
	Compacted bool
}

//msgp:tuple dataUsageEntryV6
type dataUsageEntryV6 struct {
	Children dataUsageHashMap
	// These fields do no include any children.
	Size      int64
	Objects   uint64
	Versions  uint64 // Versions that are not delete markers.
	ObjSizes  sizeHistogram

  <groupId>ut.simple</groupId>
  <artifactId>artifact</artifactId>
  <versioning>
    <latest>1.0</latest>
    <release>1.0</release>
    <versions>
      <version>1.0</version>
    </versions>
    <lastUpdated>20111123122038</lastUpdated>
  </versioning>

# This should only be necessary if there are multiple, differently-versioned
# MSVC compilers installed, and a particular one should be used.
# To find exact versions available:
# - Navigate to the relevant folder, e.g.
#     C:\Program Files\Microsoft Visual Studio\2022
# - Search for the `cl.exe` file: `gci -r -fi cl.exe`
# - The version will be part of the found path, e.g.