public ColumnInfo columnUpdatedTime() {
        return _columnUpdatedTime;
    }

    public ColumnInfo columnVirtualHost() {
        return _columnVirtualHost;
    }

    protected List<ColumnInfo> ccil() {
        List<ColumnInfo> ls = newArrayList();
        ls.add(columnBoost());
        ls.add(columnCreatedBy());
        ls.add(columnCreatedTime());
        ls.add(columnMaxSize());
        ls.add(columnQuery());

    }

    public ColumnInfo columnStartTime() {
        return _columnStartTime;
    }

    public ColumnInfo columnTarget() {
        return _columnTarget;
    }

    protected List<ColumnInfo> ccil() {
        List<ColumnInfo> ls = newArrayList();
        ls.add(columnEndTime());
        ls.add(columnJobName());
        ls.add(columnJobStatus());
        ls.add(columnLastUpdated());

    public ColumnInfo columnUpdatedTime() {
        return _columnUpdatedTime;
    }

    public ColumnInfo columnUserAgent() {
        return _columnUserAgent;
    }

    protected List<ColumnInfo> ccil() {
        List<ColumnInfo> ls = newArrayList();
        ls.add(columnCreatedBy());
        ls.add(columnCreatedTime());
        ls.add(columnProcessType());
        ls.add(columnRegex());

**FastAPI** wird sich darum kümmern, Ihnen korrekte Daten in Ihrer Funktion zu überreichen, und das korrekte Schema in der *Pfadoperation* zu validieren und zu dokumentieren.

Sie können auch einzelne Werte deklarieren, die als Teil des Bodys empfangen werden.

    *   tf.optimizers => tf.keras.optimizers
    *   Add tf.keras.layers.AbstractRNNCell as the preferred implementation of
        RNN cell for TF v2. User can use it to implement RNN cell with custom
        behavior.
    *   Adding `clear_losses` API to be able to clear losses at the end of
        forward pass in a custom training loop in eager.

    public ColumnInfo columnUpdatedTime() {
        return _columnUpdatedTime;
    }

    public ColumnInfo columnVirtualHosts() {
        return _columnVirtualHosts;
    }

    protected List<ColumnInfo> ccil() {
        List<ColumnInfo> ls = newArrayList();
        ls.add(columnAvailable());
        ls.add(columnBoost());
        ls.add(columnCreatedBy());
        ls.add(columnCreatedTime());

    public ColumnInfo columnUsername() {
        return _columnUsername;
    }

    public ColumnInfo columnWebConfigId() {
        return _columnWebConfigId;
    }

    protected List<ColumnInfo> ccil() {
        List<ColumnInfo> ls = newArrayList();
        ls.add(columnAuthRealm());
        ls.add(columnCreatedBy());
        ls.add(columnCreatedTime());
        ls.add(columnHostname());

<img src="/img/tutorial/path-operation-advanced-configuration/image01.png">

Und wenn Sie die resultierende OpenAPI sehen (unter `/openapi.json` in Ihrer API), sehen Sie Ihre Erweiterung auch als Teil der spezifischen *Pfadoperation*:

```JSON hl_lines="22"
{
    "openapi": "3.1.0",
    "info": {
        "title": "FastAPI",
        "version": "0.1.0"
    },
    "paths": {
        "/items/": {

    public ColumnInfo columnUpdatedBy() {
        return _columnUpdatedBy;
    }

    public ColumnInfo columnUpdatedTime() {
        return _columnUpdatedTime;
    }

    protected List<ColumnInfo> ccil() {
        List<ColumnInfo> ls = newArrayList();
        ls.add(columnAvailable());
        ls.add(columnCrawler());
        ls.add(columnCreatedBy());
        ls.add(columnCreatedTime());

		return nil
	}
	w := table.NewStyleWriter(writer)
	w.SetAddRowFunc(func(obj interface{}) table.Row {
		wa := obj.(webhookAnalysis)
		row := table.Row{
			Cells: make([]table.Cell, 0),
		}
		row.Cells = append(row.Cells, table.NewCell(wa.Name), table.NewCell(wa.Revision))
		if wa.Injected {
			row.Cells = append(row.Cells, table.NewCell("✔", color.FgGreen))
		} else {