smallFileThreshold = 128 * humanize.KiByte // Optimized for NVMe/SSDs

	// For hardrives it is possible to set this to a lower value to avoid any
	// spike in latency. But currently we are simply keeping it optimal for SSDs.

	// bigFileThreshold is the point where we add readahead to put operations.
	bigFileThreshold = 128 * humanize.MiByte

	// XL metadata file carries per object metadata.

	DateAdd   *DateAddFunc   `parser:"| @@"`
	DateDiff  *DateDiffFunc  `parser:"| @@"`

	// Used during evaluation for aggregation funcs
	aggregate *aggVal
}

// SimpleArgFunc represents functions with simple expression
// arguments.
type SimpleArgFunc struct {

	if objAPI == nil {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrServerNotInitialized), r.URL)
		return
	}

	// Allow putBucketACL if policy action is set, since this is a dummy call
	// we are simply re-purposing the bucketPolicyAction.
	if s3Error := checkRequestAuthType(ctx, r, policy.PutBucketPolicyAction, bucket, ""); s3Error != ErrNone {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(s3Error), r.URL)
		return
	}

				&prometheus_model.Sample{Value: 2.5},
			},
			"histogram_quantile(0.900000, sum(rate(istio_request_duration_milliseconds_bucket{destination_workload=~\"details.*\", destination_workload_namespace=~\".*\",reporter=\"destination\"}[1m0s])) by (le))": prometheus_model.Vector{ // nolint: lll
				&prometheus_model.Sample{Value: 4.5},
			},

		//
		// Spark based s3a committers are a  big enough use-case to have this optimization.
		//
		// A sample code to see the improvements is as follows, this sample code is
		// simply a read on JSON from MinIO and write it back as "parquet".
		//
		// import org.apache.spark.sql.SparkSession
		// import org.apache.spark.sql.types.{IntegerType, StringType, StructField, StructType}

				return
			}
			di, err := disks[i].DiskInfo(context.Background(), DiskInfoOptions{})
			if err != nil || di.Healing {
				// - Do not consume disks which are not reachable
				//   unformatted or simply not accessible for some reason.
				//
				// - Do not consume disks which are being healed
				//
				// - Future: skip busy disks
				return
			}

			mu.Lock()
			newDisks = append(newDisks, disks[i])

	// namespaces are in use and therefore we can no longer discern if that is the
	// case from within SPIRE agent container (since the container itself is
	// namespaced). As such, the regex has been relaxed to simply find the pod UID
	// followed by the container ID with allowances for arbitrary punctuation, and
	// container runtime prefixes, etc.
	regexp.MustCompile(`` +

	ctx, cancel := context.WithCancel(context.Background())
	defer cancel()

	// Create a backend with 4 disks named disk{1...4}, this name convention
	// because we will unzip some object data from a sample archive.
	const numDisks = 4
	path := t.TempDir()

	var fsDirs []string
	for i := 1; i <= numDisks; i++ {
		fsDirs = append(fsDirs, filepath.Join(path, fmt.Sprintf("disk%d", i)))
	}

// inside AWS S3.
// Therefore, S3 clients must not make any assumption about ETags
// in case of SSE-C or SSE-KMS except that the ETag is well-formed.
//
// To put all of this into a simple rule:
//
//	SSE-S3 : ETag == MD5
//	SSE-C  : ETag != MD5
//	SSE-KMS: ETag != MD5
//
// # Encrypted ETags
//
// An S3 implementation has to remember the content MD5 of objects

	s.endPoint = s.testServer.Server.URL
}

func (s *TestSuiteCommon) TearDownSuite(c *check) {
	s.testServer.Stop()
}

func (s *TestSuiteCommon) TestBucketSQSNotificationWebHook(c *check) {
	// Sample bucket notification.