}
}

// RMetricName - name of replication metric
type RMetricName string

const (
	// Large - objects larger than 128MiB
	Large RMetricName = "Large"
	// Small - objects smaller than 128MiB
	Small RMetricName = "Small"
	// Total - metric pertaining to totals
	Total RMetricName = "Total"
)

// ReplQNodeStats holds queue stats for replication per node
type ReplQNodeStats struct {

	}{{
		// The writer test file was produced with this command:
		// tar (GNU tar) 1.26
		//   ln -s small.txt link.txt
		//   tar -b 1 --format=ustar -c -f writer.tar small.txt small2.txt link.txt
		file: "testdata/writer.tar",
		tests: []testFnc{
			testHeader{Header{
				Typeflag: TypeReg,
				Name:     "small.txt",
				Size:     5,
				Mode:     0640,
				Uid:      73025,
				Gid:      5000,
				Uname:    "dsymonds",

common:windows --cxxopt=/std:c++17
common:windows --host_cxxopt=/std:c++17

# On windows, we still link everything into a single DLL.
common:windows --config=monolithic

# On linux, we dynamically link small amount of kernels
common:linux --config=dynamic_kernels

# Make sure to include as little of windows.h as possible
common:windows --copt=-DWIN32_LEAN_AND_MEAN
common:windows --host_copt=-DWIN32_LEAN_AND_MEAN

	// downloading is done. Data bytes are from DummyDataGen.
	objectInputs := []ObjectInput{
		// // cases 0-3: small single part objects
		{"nothing", []int64{0}, make(map[string]string)},
		{"small-0", []int64{11}, make(map[string]string)},
		{"small-1", []int64{509}, make(map[string]string)},
		{"small-2", []int64{5 * oneMiB}, make(map[string]string)},
		// // // cases 4-7: multipart part objects

It includes built in muxing of concurrent requests as well as congestion handling for streams.

Requests can be "Single Payload" or "Streamed".

Use the MinIO Grid for:

* Small, frequent requests with low latency requirements.
* Long-running requests with small/medium payloads.

Do *not* use the MinIO Grid for:

* Large payloads.

Only a single connection is ever made between two servers.

    QUICK(true, true, true, 120, 4),

    // Include cross version tests, these take care of selecting a very small set of versions to cover when run as part of this stage, including the current version
    PLATFORM(true, true, true),

	}{{
		file: "testdata/gnu.tar",
		headers: []*Header{{
			Name:     "small.txt",
			Mode:     0640,
			Uid:      73025,
			Gid:      5000,
			Size:     5,
			ModTime:  time.Unix(1244428340, 0),
			Typeflag: '0',
			Uname:    "dsymonds",
			Gname:    "eng",
			Format:   FormatGNU,
		}, {
			Name:     "small2.txt",
			Mode:     0640,
			Uid:      73025,
			Gid:      5000,
			Size:     11,

* IDE warnings become more accurate, reducing warnings fatigue.
* Public API nullability annotations become closer to reality.
* Java compilation of Gradle code suffers from small performance penalty (up to 10%).
* Time has to be allocated to clean up existing projects.
* One has to write NullAway-conformant code even when hacking.
* Some patterns used to satisfy NullAway can be slightly more verbose.

	clusterInfos, err := globalSiteReplicationSys.GetClusterInfo(ctx)
	if err != nil {
		return madmin.SiteNetPerfNodeResult{Error: err.Error()}
	}

	// Scale the number of connections from 32 -> 4 from small to large clusters.
	connectionsPerPeer := 3 + (29+len(clusterInfos.Sites)-1)/len(clusterInfos.Sites)

	errStr := ""
	var wg sync.WaitGroup

	for _, info := range clusterInfos.Sites {
		// skip self

                }
            }
        }
        return containingFailures
    }

    /**
     * After archiving the test files, do a cleanup to get rid of TeamCity "XX published a lot of small artifacts" warning.
     */
    private
    fun cleanUp(filesToCleanUp: Collection<File>) {
        try {
            fileSystemOperations.delete {
                delete(*filesToCleanUp.toTypedArray())