call(Oa,a)||null!=e[a]&&isNaN(e[a])))return!1;for(t=0;t<Oa.length;++t)if(e[Oa[t]]){if(s)return!1;parseFloat(e[Oa[t]])!==G(e[Oa[t]])&&(s=!0)}return!0}(a),this._milliseconds=+m+1e3*o+6e4*_+1e3*i*60*60,this._days=+d+7*r,this._months=+n+3*s+12*t,this._data={},this._locale=ua(),this._bubble()}function Aa(e){return e instanceof Wa}function Ea(e){return e<0?-1*Math.round(-1*e):Math.round(e)}function Fa(e,t){W(e,0,0,function(){var e=this.utcOffset(),a="+";return e<0&&(e=-e,a="-"),a+H(~~(e/60),2)+t+H(~~e...

oll","access","chainable","emptyGet","raw","bulk","_key","rmsPrefix","rdashAlpha","fcamelCase","_all","letter","toUpperCase","camelCase","string","acceptData","owner","Data","uid","defineProperty","configurable","set","data","prop","hasData","dataPriv","dataUser","rbrace","rmultiDash","dataAttr","JSON","parse","removeData","_data","_removeData","attrs","dequeue","startLength","hooks","_queueHooks","unshift","stop","setter","clearQueue","tmp","count","defer","pnum","source","rcssNum","cssExpand",...

oll","access","chainable","emptyGet","raw","bulk","_key","rmsPrefix","rdashAlpha","fcamelCase","_all","letter","toUpperCase","camelCase","string","acceptData","owner","Data","uid","defineProperty","configurable","set","data","prop","hasData","dataPriv","dataUser","rbrace","rmultiDash","dataAttr","JSON","parse","removeData","_data","_removeData","attrs","dequeue","startLength","hooks","_queueHooks","unshift","stop","setter","clearQueue","tmp","count","defer","pnum","source","rcssNum","cssExpand",...

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

)

// 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 := max(time.Duration(r.Float64()*float64(scannerCycle.Load())),
				// Make sure to sleep at least a second to avoid high CPU ticks.
				time.Second)

# Extra Data Types { #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.

		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.

{* ../../docs_src/extra_data_types/tutorial001_an_py310.py hl[1,3,12:16] *}

* `Decimal`:
    * Pythonの標準的な`Decimal`です。
    * リクエストやレスポンスでは`float`と同じように扱います。

* Pydanticの全ての有効な型はこちらで確認できます: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic data types</a>。
## 例

ここでは、上記の型のいくつかを使用したパラメータを持つ*path operation*の例を示します。

{* ../../docs_src/extra_data_types/tutorial001.py hl[1,2,12:16] *}

関数内のパラメータは自然なデータ型を持っていることに注意してください。そして、以下のように通常の日付操作を行うことができます:

}

// DataUsageInfo represents data usage stats of the underlying Object API
type DataUsageInfo struct {
	TotalCapacity     uint64 `json:"capacity,omitempty"`
	TotalUsedCapacity uint64 `json:"usedCapacity,omitempty"`
	TotalFreeCapacity uint64 `json:"freeCapacity,omitempty"`

	// LastUpdate is the timestamp of when the data usage info was last updated.
	// This does not indicate a full scan.