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

	quarkus/extensions/apache-httpclient/deployment/pom.xml
	quarkus/extensions/amazon-lambda-xray/runtime/pom.xml
quarkus/extensions/spring-data-rest/deployment/pom.xml
	quarkus/extensions/spring-data-rest/runtime/pom.xml
	quarkus/extensions/panache/rest-data-panache/deployment/pom.xml
	quarkus/extensions/spring-data-jpa/deployment/pom.xml
	quarkus/test-framework/junit5-internal/pom.xml
	quarkus/extensions/jdbc/jdbc-h2/deployment/pom.xml

)

// 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 {

		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

* **FastAPI**:
    * Starlette'in Uvicorn'u kullandığı ve ondan daha hızlı olamayacağı gibi, **FastAPI**'da Starlette'i kullanır, dolayısıyla ondan daha hızlı olamaz.

    * 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"

/// check | "**FastAPI**'a nasıl ilham oldu?"

Model özelliklerinin "standart" değerlerini kullanarak veri tipleri için ekstra veri doğrulama koşulları tanımlamalı. Bu editör desteğini geliştiriyor ve daha önceden Pydantic'te yoktu.

se"mm":return wn(e)?n+(a||s?"m\xedn\xfatur":"m\xedn\xfatum"):a?n+"m\xedn\xfata":n+"m\xedn\xfatu";case"hh":return wn(e)?n+(a||s?"klukkustundir":"klukkustundum"):n+"klukkustund";case"d":return a?"dagur":s?"dag":"degi";case"dd":return wn(e)?a?n+"dagar":n+(s?"daga":"d\xf6gum"):a?n+"dagur":n+(s?"dag":"degi");case"M":return a?"m\xe1nu\xf0ur":s?"m\xe1nu\xf0":"m\xe1nu\xf0i";case"MM":return wn(e)?a?n+"m\xe1nu\xf0ir":n+(s?"m\xe1nu\xf0i":"m\xe1nu\xf0um"):a?n+"m\xe1nu\xf0ur":n+(s?"m\xe1nu\xf0":"m\xe1nu\xf0i");case"y":return...

`name="static"` ifadesi, alt uygulamanın **FastAPI** tarafından kullanılacak ismini belirtir.

Bu parametrelerin hepsi "`static`"den farklı olabilir, bunları kendi uygulamanızın ihtiyaçlarına göre belirleyebilirsiniz.

## Daha Fazla Bilgi

}

// 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.