Harshavardhana <******@****.***> 1708583166 -0800

	for _, rule := range lc.FilterRules(obj) {
		if obj.ExpiredObjectDeleteMarker() {
			if rule.Expiration.DeleteMarker.val {
				// Indicates whether MinIO will remove a delete marker with no noncurrent versions.
				// Only latest marker is removed. If set to true, the delete marker will be expired;
				// if set to false the policy takes no action. This cannot be specified with Days or
				// Date in a Lifecycle Expiration Policy.

// Special conditions required by MinIO server are as below
//   - delimiter if set should be equal to '/', otherwise the request is rejected.
//   - marker if set should have a common prefix with 'prefix' param, otherwise
//     the request is rejected.
func validateListObjectsArgs(prefix, marker, delimiter, encodingType string, maxKeys int) APIErrorCode {
	// Max keys cannot be negative.
	if maxKeys < 0 {
		return ErrInvalidMaxKeys
	}

	Expires              time.Time // Is only used in POST/PUT operations

	DeleteMarker            bool // Is only set in DELETE operations for delete marker replication
	CheckDMReplicationReady bool // Is delete marker ready to be replicated - set only during HEAD
	Tagging                 bool // Is only in GET/HEAD operations to return tagging metadata along with regular metadata and body.

	// Reports number of drives currently healing
	MinIOHealingDrives = "x-minio-healing-drives"

	// Header indicates if the delete marker should be preserved by client
	MinIOSourceDeleteMarker = "x-minio-source-deletemarker"

	// Header indicates if the delete marker version needs to be purged.
	MinIOSourceDeleteMarkerDelete = "x-minio-source-deletemarker-delete"

	// Header indicates permanent delete replication status.

  server_def.set_task_index(1);
  std::unique_ptr<tensorflow::GrpcServer> worker_server1;
  ASSERT_TRUE(tensorflow::GrpcServer::Create(
                  server_def, tensorflow::Env::Default(), &worker_server1)
                  .ok());
  ASSERT_TRUE(worker_server1->Start().ok());

  server_def.set_task_index(2);
  std::unique_ptr<tensorflow::GrpcServer> worker_server2;
  ASSERT_TRUE(tensorflow::GrpcServer::Create(

func (e ErasureInfo) ShardSize() int64 {
	return ceilFrac(e.BlockSize, int64(e.DataBlocks))
}

// IsValid - tells if erasure info fields are valid.
func (fi FileInfo) IsValid() bool {
	if fi.Deleted {
		// Delete marker has no data, no need to check
		// for erasure coding information
		return true
	}
	dataBlocks := fi.Erasure.DataBlocks
	parityBlocks := fi.Erasure.ParityBlocks
	correctIndexes := (fi.Erasure.Index > 0 &&

	}
	return true
}

// evalInteger evaluates an integer constant for a pseudo-op.
func (p *Parser) evalInteger(pseudo string, operands []lex.Token) int64 {
	addr := p.address(operands)
	return p.getConstantPseudo(pseudo, &addr)
}

// validImmediate checks that addr represents an immediate constant.
func (p *Parser) validImmediate(pseudo string, addr *obj.Addr) bool {

```console
$ gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80

[19499] [INFO] Starting gunicorn 20.1.0
[19499] [INFO] Listening at: http://0.0.0.0:80 (19499)
[19499] [INFO] Using worker: uvicorn.workers.UvicornWorker
[19511] [INFO] Booting worker with pid: 19511
[19513] [INFO] Booting worker with pid: 19513
[19514] [INFO] Booting worker with pid: 19514
[19515] [INFO] Booting worker with pid: 19515

			var deleteMarkers uint64

			for i, nerr := range errs {
				if nerr != nil {
					continue
				}
				for _, fi := range versions[i].Versions {
					if fi.Deleted {
						// Delete markers are a write operation not a permanent delete.
						deleteMarkers++
						continue
					}
					permanentDeletes++
				}
			}
			if deleteMarkers > 0 {