name: "Issue Labeler"
on:
  issues:
    types: [opened, edited, reopened]
  pull_request:
    types: [opened, edited, reopened]

jobs:
  triage:
    runs-on: ubuntu-latest
    name: Label issues and pull requests
    steps:
      - name: check out
        uses: actions/checkout@v4

      - name: labeler
        uses: jinzhu/super-labeler-action@develop
        with:

        default -> throw new SmbException("Invalid state");
        };
    }

    /**
     * Creates a Type 3 (authentication) message in response to a Type 2 (challenge) message.
     * @param token the Type 2 message bytes
     * @return the Type 3 message bytes
     * @throws SmbException if an error occurs during message creation
     */

            assertTrue(true);
        }
    }

    public void test_install_allResourceTypes() throws IOException {
        // Create a zip with all resource types (view, css, js, images)
        Path jarPath = tempDir.resolve("all-resources.jar");
        createMockThemeZipWithAllResources(jarPath);

        ThemeHelper mockThemeHelper = new ThemeHelper() {
            @Override

#### "Schéma" de données

Le terme "schéma" peut aussi faire référence à la forme de la donnée, comme un contenu JSON.

Dans ce cas, cela signifierait les attributs JSON, ainsi que les types de ces attributs, etc.

#### OpenAPI et JSON Schema

Commençons avec cette application pour exemple :

{* ../../docs_src/query_params_str_validations/tutorial001.py hl[9] *}

Le paramètre de requête `q` a pour type `Union[str, None]` (ou `str | None` en Python 3.10), signifiant qu'il est de type `str` mais pourrait aussi être égal à `None`, et bien sûr, la valeur par défaut est `None`, donc **FastAPI** saura qu'il n'est pas requis.

/// note

Если вам нужно освежить знания, как использовать аннотации типов в Python (даже если вы не используете FastAPI), выделите 2 минуты и просмотрите краткое руководство: [Введение в аннотации типов Python¶
](python-types.md){.internal-link target=_blank}.

Вы пишете на стандартном Python с аннотациями типов:

```Python
from datetime import date

from pydantic import BaseModel

# Объявляем параметр user_id с типом `str`

#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/node_def_util.h"
#include "tensorflow/core/framework/tensor.pb.h"  // NOLINT
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/platform/base64.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/util/debug_data_dumper.h"

            }
            return new ByteArrayOutputStream();
        }
    }

    /**
     * Creates an OutputStream from a ToXContent object with the specified media type.
     *
     * @param xContent the content object to convert
     * @param mediaType the media type for the output
     * @return an OutputStream containing the converted content
     */

        return stream(value == null ? null : value.split(regex));
    }

    /**
     * Creates a stream of map entries from the given map.
     *
     * @param <K> the type of keys in the map
     * @param <V> the type of values in the map
     * @param map the map to create a stream from; if {@code null}, an empty stream is returned

    }

    // Getters and Setters

    /**
     * Gets the event type.
     *
     * @return the event type
     */
    public WitnessEventType getEventType() {
        return eventType;
    }

    /**
     * Sets the event type.
     *
     * @param eventType the event type
     */
    public void setEventType(WitnessEventType eventType) {