private lateinit var scheme: String

  private fun configureClientTestRule(): OkHttpClientTestRule {
    val clientTestRule = OkHttpClientTestRule()
    clientTestRule.recordTaskRunner = true
    return clientTestRule
  }

  @BeforeEach
  fun setUp() {
    platform.assumeNotOpenJSSE()
    if (protocol === Protocol.HTTP_2) {
      platform.assumeHttp2Support()

  testImplementation(libs.junit.jupiter.api)
  testImplementation(libs.junit.jupiter.params)

  testImplementation(rootProject.libs.junit.jupiter.engine)
}

animalsniffer {
  isIgnoreFailures = true

     *
     * @param labelType The label type to delete.
     */
    public void delete(final LabelType labelType) {

        labelTypeBhv.delete(labelType, op -> {
            op.setRefreshPolicy(Constants.TRUE);
        });

        final LabelTypeHelper labelTypeHelper = ComponentUtil.getLabelTypeHelper();
        if (labelTypeHelper != null) {
            labelTypeHelper.refresh(getLabelTypeList());
        }
    }

    </dependency>
    <dependency>
      <groupId>maven-test</groupId>
      <artifactId>t07-d</artifactId>
      <version>1.1</version>
      <type>jar</type>
      <scope>compile</scope>
      <optional>true</optional>
    </dependency>
  </dependencies>

    </dependency>
    <dependency>
      <groupId>maven-test</groupId>
      <artifactId>t07-d</artifactId>
      <version>1.1</version>
      <type>jar</type>
      <scope>compile</scope>
      <optional>true</optional>
    </dependency>
  </dependencies>

val okhttpDokka: String? by project
val dokkaBuild = okhttpDokka?.toBoolean() == true

if (dokkaBuild) {
  apply(plugin = "org.jetbrains.dokka")

  dependencies {
    add("dokka", project(":okhttp"))
    add("dokka", project(":okhttp-brotli"))
    add("dokka", project(":okhttp-coroutines"))
    add("dokka", project(":okhttp-dnsoverhttps"))
    add("dokka", project(":okhttp-java-net-cookiejar"))
    add("dokka", project(":logging-interceptor"))

Es gibt ein paar Unterschiede:

* `table=True` sagt SQLModel, dass dies ein *Tabellenmodell* ist, es soll eine **Tabelle** in der SQL-Datenbank darstellen, es ist nicht nur ein *Datenmodell* (wie es jede andere reguläre Pydantic-Klasse wäre).

    "baz": {"name": "Baz", "description": None, "price": 50.2, "tax": 10.5, "tags": []},
}


@app.get("/items/{item_id}", response_model=Item, response_model_exclude_unset=True)
async def read_item(item_id: str):

                        "operationId": "update_item_items__item_id__put",
                        "parameters": [
                            {
                                "required": True,
                                "schema": {"title": "Item Id", "type": "integer"},
                                "name": "item_id",
                                "in": "path",
                            },

            }

            ComponentUtil.getAuthenticationManager().insert(user);

            userBhv.insertOrUpdate(user, op -> {
                op.setRefreshPolicy(Constants.TRUE);
            });

            if (logger.isInfoEnabled()) {
                logger.info("User {} completed successfully: username={}, id={}", isUpdate ? "update" : "create", username, user.getId());
            }