labels.popularWord=Popular words
labels.ignoreFailureType=Ignored Failure Type
labels.lastAccessTime=Last Accessed
labels.notificationTo=Notification To
labels.num=Num
labels.pn=Page Number
labels.protocolScheme=Scheme
labels.purgeByBots=Purge By Bots
labels.logLevel=Log Level
labels.purgeSearchLogDay=Purge Search Log
labels.query=Query
labels.queryId=Query ID
labels.rt=rt
labels.searchLog=Search Log
labels.sort=Sort

By default, **FastAPI** would automatically convert that return value to JSON using the `jsonable_encoder` explained in [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

Then, behind the scenes, it would put that JSON-compatible data (e.g. a `dict`) inside of a `JSONResponse` that would be used to send the response to the client.

But you can return a `JSONResponse` directly from your *path operations*.

- Erasure coding used by MinIO is [Reed-Solomon](https://github.com/klauspost/reedsolomon) erasure coding scheme, which has a total shard maximum of 256 i.e 128 data and 128 parity. MinIO design goes beyond this limitation by doing some practical architecture choices.

   *
   * @param streamId client-initiated stream ID.  Must be an odd number.
   * @param promisedStreamId server-initiated stream ID.  Must be an even number.
   * @param requestHeaders minimally includes `:method`, `:scheme`, `:authority`, and `:path`.
   */
  @Throws(IOException::class)
  fun pushPromise(
    streamId: Int,
    promisedStreamId: Int,
    requestHeaders: List<Header>,
  ) {
    this.withLock {

```Python hl_lines="1  7-13  19"
{!../../docs_src/dataclasses/tutorial002.py!}
```

Die Datenklasse wird automatisch in eine Pydantic-Datenklasse konvertiert.

Auf diese Weise wird deren Schema in der Benutzeroberfläche der API-Dokumentation angezeigt:

<img src="/img/tutorial/dataclasses/image01.png">

## Datenklassen in verschachtelten Datenstrukturen

///

Das wird:

* Diesen Statuscode mit der Response zurücksenden.
* Ihn als solchen im OpenAPI-Schema dokumentieren (und somit in den Benutzeroberflächen):

<img src="/img/tutorial/response-status-code/image01.png">

/// note | "Hinweis"

You can also use `dataclasses` in the `response_model` parameter:

{* ../../docs_src/dataclasses/tutorial002.py hl[1,7:13,19] *}

The dataclass will be automatically converted to a Pydantic dataclass.

This way, its schema will show up in the API docs user interface:

<img src="/img/tutorial/dataclasses/image01.png">

## Dataclasses in Nested Data Structures

package schema

import (
	"context"
	"fmt"
	"reflect"
	"regexp"
	"strings"

	"gorm.io/gorm/clause"
	"gorm.io/gorm/utils"
)

var embeddedCacheKey = "embedded_cache_store"

func ParseTagSetting(str string, sep string) map[string]string {
	settings := map[string]string{}
	names := strings.Split(str, sep)

	for i := 0; i < len(names); i++ {
		j := i
		if len(names[j]) > 0 {
			for {

     * the second version is the newer.
     */
    private static int compareModelVersions(String first, String second) {
        // we use a dedicated comparator because we control our model version scheme.
        String[] firstSegments = first.split("\\.");
        String[] secondSegments = second.split("\\.");
        for (int i = 0; i < Math.max(firstSegments.length, secondSegments.length); i++) {

import "k8s.io/api/core/v1/generated.proto";
import "k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/discovery/v1beta1";

// Endpoint represents a single logical "backend" implementing a service.
message Endpoint {