UserInDB(**user_dict)
```

dann ist das ungefähr äquivalent zu:

```Python
UserInDB(
    username="john",
    password="secret",
    email="******@****.***",
    full_name=None,
)
```

Oder, präziser, `user_dict` wird direkt verwendet, welche Werte es auch immer haben mag:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],

                    "required": IsOneOf(
                        ["username", "email", "full_name"],
                        # TODO: remove when deprecating Pydantic v1
                        ["username", "email"],
                    ),
                    "type": "object",
                    "properties": {
                        "username": {"title": "Username", "type": "string"},
                        "email": {

        username: str = payload.get("sub")
        if username is None:
            raise credentials_exception
        token_scopes = payload.get("scopes", [])
        token_data = TokenData(scopes=token_scopes, username=username)
    except (JWTError, ValidationError):
        raise credentials_exception
    user = get_user(fake_users_db, username=token_data.username)
    if user is None:

        username: str = payload.get("sub")
        if username is None:
            raise credentials_exception
        token_scopes = payload.get("scopes", [])
        token_data = TokenData(scopes=token_scopes, username=username)
    except (JWTError, ValidationError):
        raise credentials_exception
    user = get_user(fake_users_db, username=token_data.username)
    if user is None:

        username: str = payload.get("sub")
        if username is None:
            raise credentials_exception
        token_scopes = payload.get("scopes", [])
        token_data = TokenData(scopes=token_scopes, username=username)
    except (JWTError, ValidationError):
        raise credentials_exception
    user = get_user(fake_users_db, username=token_data.username)
    if user is None:

     * 
     * @param domain
     * @param username
     * @param challenge
     * @param ansiHash
     * @param unicodeHash
     */
    public NtlmPasswordAuthentication ( String domain, String username, byte[] challenge, byte[] ansiHash, byte[] unicodeHash ) {
        super(domain, username, null);
        if ( domain == null || username == null || ansiHash == null || unicodeHash == null ) {

}


class OwnerError(Exception):
    pass


def get_username():
    try:
        yield "Rick"
    except OwnerError as e:
        raise HTTPException(status_code=400, detail=f"Owner error: {e}")


@app.get("/items/{item_id}")
def get_item(item_id: str, username: Annotated[str, Depends(get_username)]):
    if item_id not in data:
        raise HTTPException(status_code=404, detail="Item not found")

 */
function isEnabledUser(username) {
    return (buildScan.includes(username) || configuration.includes(username) || devProd.includes(username) || execution.includes(username) || ide.includes(username) || jvm.includes(username));
};

```Python
UserInDB(**user_dict)
```

以下と同等の結果になります:

```Python
UserInDB(
    username="john",
    password="secret",
    email="******@****.***",
    full_name=None,
)
```

もっと正確に言えば、`user_dict`を将来的にどんな内容であっても直接使用することになります:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],

        this.updatedTime = value;
    }

    public String getUsername() {
        checkSpecifiedProperty("username");
        return convertEmptyToNull(username);
    }

    public void setUsername(String value) {
        registerModifiedProperty("username");
        this.username = value;
    }

    public String getWebConfigId() {
        checkSpecifiedProperty("webConfigId");