class NonRobolectricOkHttpClientTest : BaseOkHttpClientUnitTest() {
  @Test
  override fun testPublicSuffixDb() {
    assertFailure { super.testPublicSuffixDb() }.all {
      hasMessage("Unable to load PublicSuffixDatabase.list resource.")
      cause().isNotNull().all {
        hasMessage(
          "Platform applicationContext not initialized. " +
            "Possibly running Android unit test without Robolectric. " +

class RecordingProxySelector : ProxySelector() {
  @JvmField val proxies = mutableListOf<Proxy>()

  val requestedUris = mutableListOf<URI>()
  val failures = mutableListOf<String>()

  override fun select(uri: URI): List<Proxy> {
    requestedUris.add(uri)
    return proxies
  }

  fun assertRequests(vararg expectedUris: URI?) {
    assertThat(requestedUris).containsExactly(*expectedUris)
    requestedUris.clear()
  }

app = FastAPI()


class JsonApiResponse(JSONResponse):
    media_type = "application/vnd.api+json"


class Error(BaseModel):
    status: str
    title: str


class JsonApiError(BaseModel):
    errors: list[Error]


@app.get(
    "/a",
    response_class=Response,
    responses={500: {"description": "Error", "model": JsonApiError}},
)
async def a():
    pass  # pragma: no cover

/// note | 참고

`response_model`은 "데코레이터" 메서드(`get`, `post` 등)의 매개변수입니다. 모든 매개변수와 body처럼, *경로 처리 함수*의 매개변수가 아닙니다.

///

`response_model`은 Pydantic 모델 필드에 선언하는 것과 동일한 타입을 받습니다. 따라서 Pydantic 모델이 될 수도 있고, `List[Item]`처럼 Pydantic 모델의 `list`가 될 수도 있습니다.

FastAPI는 이 `response_model`을 사용해 데이터 문서화, 검증 등을 수행하고, 또한 출력 데이터를 타입 선언에 맞게 **변환하고 필터링**합니다.

/// tip | 팁

에디터, mypy 등에서 엄격한 타입 체크를 사용하고 있다면, 함수 반환 타입을 `Any`로 선언할 수 있습니다.

    @Resource
    private ProtwordsService protwordsService;

    /**
     * Retrieve list of protected words entries for the specified dictionary.
     *
     * @param dictId identifier of the dictionary
     * @param body search criteria and paging parameters
     * @return JSON response containing list of entries
     */
    // GET /api/admin/dict/protwords/settings/{dictId}
    @Execute

例えば、クライアントがクッキー `santa_tracker` を `good-list-please` という値で送ろうとすると、`santa_tracker` という <dfn title="サンタはクッキー不足を良しとしません。🎅 はい、クッキージョークはこれでおしまい。">クッキーが許可されていない</dfn> ことを通知する**エラー**レスポンスが返されます:

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["cookie", "santa_tracker"],
            "msg": "Extra inputs are not permitted",
            "input": "good-list-please",
        }
    ]
}
```

skip_on_windows = pytest.mark.skipif(
    sys.platform == "win32", reason="Skipping on Windows"
)


THIS_DIR = Path(__file__).parent.resolve()


def pytest_collection_modifyitems(config, items: list[pytest.Item]) -> None:
    if sys.platform != "win32":
        return

    for item in items:
        item_path = Path(item.fspath).resolve()
        if item_path.is_relative_to(THIS_DIR):

        }
    }

    /**
     * LSA referenced domain list.
     */
    public static class LsarRefDomainList extends NdrObject {

        /**
         * Default constructor for LsarRefDomainList.
         */
        public LsarRefDomainList() {
            // Default constructor
        }

        /** Number of domains in the list. */
        public int count;

of the configuration parameters used above - - `policies[].name` - name of the policy to create, must be a string with length > 0 - `policies[].statements[]` - list of statements, includes actions and resources - `policies[].statements[].resources[]` - list of resources that applies the statement - `policies[].statements[].actions[]` - list of actions granted ### Create user after install Install the chart, specifying the users you want to create after install: ```bash helm install --set users[0]...

    class ModelV1A(BaseModel):
        name: str

    app = FastAPI()

    with pytest.raises(PydanticV1NotSupportedError):

        @app.post("/sequence")
        def endpoint(data: list[ModelV1A]):  # pragma: no cover