"application/dec-dx",
				"application/dialog-info+xml",
				"application/dicom",
				"application/dita+xml",
				"application/dita+xml;format=map",
				"application/dita+xml;format=topic",
				"application/dita+xml;format=task",
				"application/dita+xml;format=concept",
				"application/dita+xml;format=val",
				"application/dns",
				"application/dvcs",
				"application/ecmascript",

    <glob pattern="*.dita"/>
  </mime-type>
  <mime-type type="application/dita+xml;format=task">
    <sub-class-of type="application/dita+xml"/>
    <_comment>DITA Task Topic</_comment>
    <root-XML localName="task"/>
    <root-XML localName="task" namespaceURI="http://docs.oasis-open.org/namespace"/>
  </mime-type>
  <mime-type type="application/dita+xml;format=concept">

deta.svg...

      "accessResultData": {
        "properties": {
          "transformerName": {
            "type": "keyword"
          },
          "encoding": {
            "type": "keyword"
          },
          "data": {
            "type": "binary"
          }
        }
      },
      "contentLength": {
        "type": "long"
      },
      "lastModified": {
        "type": "long"
      },
      "ruleId": {

deta-banner.svg...

		{name: "dir2/d2file5", size: 300},
		{name: "dir1/dira/dafile", size: 100000},
		{name: "dir1/dira/dbfile", size: 200000},
		{name: "dir1/dira/dirasub/dcfile", size: 1000000},
		{name: "dir1/dira/dirasub/sublevel3/dccccfile", size: 10},
		{name: "dir1/dira/dirasub/sublevel3/dccccfile20", size: 20},
		{name: "dir1/dira/dirasub/sublevel3/dccccfile30", size: 30},
		{name: "dir1/dira/dirasub/sublevel3/dccccfile40", size: 40},
	}

)

// initDataScanner will start the scanner in the background.
func initDataScanner(ctx context.Context, objAPI ObjectLayer) {
	go func() {
		r := rand.New(rand.NewSource(time.Now().UnixNano()))
		// Run the data scanner in a loop
		for {
			runDataScanner(ctx, objAPI)
			duration := time.Duration(r.Float64() * float64(scannerCycle.Load()))
			if duration < time.Second {

# Extra Data Types

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types

		hashPathCutSet = dataUsageRoot + string(filepath.Separator)
	}
}

// hashPath calculates a hash of the provided string.
func hashPath(data string) dataUsageHash {
	if data != dataUsageRoot {
		data = strings.Trim(data, hashPathCutSet)
	}
	return dataUsageHash(path.Clean(data))
}

//msgp:ignore dataUsageHashMap
type dataUsageHashMap map[string]struct{}

// DecodeMsg implements msgp.Decodable

    * In Requests und Responses wird es wie ein `float` behandelt.
* Sie können alle gültigen Pydantic-Datentypen hier überprüfen: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Beispiel

Hier ist ein Beispiel für eine *Pfadoperation* mit Parametern, die einige der oben genannten Typen verwenden.

//// tab | Python 3.10+

```Python hl_lines="1  3  12-16"