)

// 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

    {!> ../../../docs_src/extra_data_types/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="1  3  13-17"
    {!> ../../../docs_src/extra_data_types/tutorial001_an.py!}
    ```

=== "Python 3.10+ nicht annotiert"

    !!! tip
        Bevorzugen Sie die `Annotated`-Version, falls möglich.

    ```Python hl_lines="1  2  11-15"
    {!> ../../../docs_src/extra_data_types/tutorial001_py310.py!}
    ```

Anis Eleuch <******@****.***> 1712232280 +0100

		versions = append(versions, content)
	}

	data.Name = bucket
	data.Versions = versions
	data.EncodingType = encodingType
	data.Prefix = s3EncodeName(prefix, encodingType)
	data.KeyMarker = s3EncodeName(marker, encodingType)
	data.Delimiter = s3EncodeName(delimiter, encodingType)
	data.MaxKeys = maxKeys

	data.NextKeyMarker = s3EncodeName(resp.NextMarker, encodingType)
	data.NextVersionIDMarker = resp.NextVersionIDMarker

    @app.post("/login")
    def login(form_data: Annotated[OAuth2PasswordRequestForm, Depends()]):
        data = {}
        data["scopes"] = []
        for scope in form_data.scopes:
            data["scopes"].append(scope)
        if form_data.client_id:
            data["client_id"] = form_data.client_id
        if form_data.client_secret:
            data["client_secret"] = form_data.client_secret
        return data
    ```

    ```

FastAPI will use this return type to:

* **Validate** the returned data.
    * If the data is invalid (e.g. you are missing a field), it means that *your* app code is broken, not returning what it should, and it will return a server error instead of returning incorrect data. This way you and your clients can be certain that they will receive the data and the data shape expected.
* Add a **JSON Schema** for the response, in the OpenAPI *path operation*.

			switch data := v.(type) {
			case **int64:
				if data != nil && *data != nil {
					field.ReflectValueOf(ctx, value).SetInt(**data)
				}
			case **int:
				if data != nil && *data != nil {
					field.ReflectValueOf(ctx, value).SetInt(int64(**data))
				}
			case **int8:
				if data != nil && *data != nil {
					field.ReflectValueOf(ctx, value).SetInt(int64(**data))

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

!!! info

def test_sub_duplicates():
    response = client.post("/with-duplicates-sub", json={"data": "myitem"})
    assert response.status_code == 200, response.text
    assert response.json() == [
        {"data": "myitem"},
        [{"data": "myitem"}, {"data": "myitem"}],
    ]


def test_openapi_schema():
    response = client.get("/openapi.json")