* Constructs a new {@code MojoExecutionException} wrapping an underlying {@code Throwable}.
     *
     * @param cause the cause which is saved for later retrieval by the {@link #getCause()} method.
     *              A {@code null} value is permitted, and indicates that the cause is nonexistent or unknown.
     */
    public MojoException(Throwable cause) {
        super(cause);
    }

    public String getLongMessage() {

                                        "minLength": 3,
                                        "maxLength": 50,
                                    },
                                    {"type": "null"},
                                ],
                                "title": "Q",
                            },
                            "name": "q",
                            "in": "query",

    }

    private ArtifactRepository injectSession(ArtifactRepository repository, boolean mirrors) {
        RepositorySystemSession session = legacySupport.getRepositorySession();

        if (session != null && repository != null && !isLocalRepository(repository)) {
            List<ArtifactRepository> repositories = Arrays.asList(repository);

            RepositorySystem repositorySystem;
            try {

                                        "minLength": 1,
                                        "maxLength": 2083,
                                    },
                                    {"type": "null"},
                                ],
                                "title": "Callback Url",
                            },
                            "name": "callback_url",
                            "in": "query",

    protected int doExecute(EncryptContext context) throws Exception {
        String cleartext = context.reader.readLine("Enter the password to encrypt: ", '*');
        context.terminal.writer().println(secDispatcher.encrypt(cleartext, null));
        return OK;
    }

                    "parameters": [
                        {
                            "required": False,
                            "schema": {
                                "anyOf": [{"type": "string"}, {"type": "null"}],
                                "title": "Ads Id",
                            },
                            "name": "ads_id",
                            "in": "cookie",
                        }

                    "parameters": [
                        {
                            "required": False,
                            "schema": {
                                "anyOf": [{"type": "string"}, {"type": "null"}],
                                "title": "User-Agent",
                            },
                            "name": "user-agent",
                            "in": "header",
                        }

                    "parameters": [
                        {
                            "required": False,
                            "schema": {
                                "anyOf": [{"type": "string"}, {"type": "null"}],
                                "title": "Strange Header",
                            },
                            "name": "strange_header",
                            "in": "header",
                        }

                            "schema": {
                                "anyOf": [
                                    {"type": "array", "items": {"type": "string"}},
                                    {"type": "null"},
                                ],
                                "title": "Q",
                            },
                            "name": "q",
                            "in": "query",

Dies ist nützlich, wenn Sie die gültigen Feld-/Attributnamen nicht im Voraus kennen (die für ein Pydantic-Modell benötigt werden würden).

In diesem Fall können Sie `typing.Dict` verwenden (oder nur `dict` in Python 3.9 und höher):

{* ../../docs_src/extra_models/tutorial005_py39.py hl[6] *}

## Zusammenfassung { #recap }