elements","matchesSelector","attr","attrHandle","uniqueSort","duplicates","sortStable","createPseudo","relative",">"," ","+","~","preFilter","excess","unquoted","nodeNameSelector","expectedNodeName","pattern","operator","check","result","what","_argument","simple","forward","ofType","_context","xml","outerCache","nodeIndex","start","parent","useCache","diff","firstChild","lastChild","pseudo","args","setFilters","idx","matched","not","matcher","compile","unmatched","has","lang","elemLang","hash",...

     *
     * @param constructor
     *            The constructor. Must not be {@literal null}.
     * @param index
     *            The position of the argument.
     * @param map
     *            A {@link Map} with type variables as keys and type arguments as values for the parameterized type. Must not be {@literal null}.

     *
     * @return Name of the argument
     */
    public String getArgName() {
        return argName;
    }

    /**
     * Returns the message code.
     *
     * @return Message code
     */
    public String getMessageCode() {
        return messageCode;
    }

    /**
     * Returns the array of arguments.
     *
     * @return Array of arguments
     */

     * algorithm described in the JLS section
     * 15.12.2 (with the exception that it can't
     * distinguish a primitive type argument from
     * an object type argument, since in reflection
     * primitive type arguments are represented by
     * their object counterparts, so for an argument of
     * type (say) java.lang.Integer, it will not be able
     * to decide between a method that takes int and a

// arguments of [cmp.Ordered] types. There must be at least one argument.
// If T is a floating-point type and any of the arguments are NaNs,
// max will return NaN.
func max[T cmp.Ordered](x T, y ...T) T

// The min built-in function returns the smallest value of a fixed number of
// arguments of [cmp.Ordered] types. There must be at least one argument.

Auf diese Weise erhalten wir ein Pydantic-Modell aus den Daten eines anderen Pydantic-Modells.

#### Ein `dict` entpacken und zusätzliche Schlüsselwort-Argumente { #unpacking-a-dict-and-extra-keywords }

Und dann fügen wir das zusätzliche Schlüsselwort-Argument `hashed_password=hashed_password` hinzu, wie in:

```Python
UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
```

... was so ist wie:

     * <li>If <code>type</code> is an array, the actual class of its elements is returned.</li>
     * <li>Otherwise, <code>null</code> is returned.</li>
     * </ul>
     *
     * @param type
     *            the type to analyze
     * @param map
     *            the map that contains the type variables and type arguments

                Arguments.of(NbtException.ERR_NAM_SRVC, NbtException.FMT_ERR, "ERR_NAM_SRVC/FMT_ERR: Format ErrorUnknown error code: 1"),
                Arguments.of(NbtException.ERR_NAM_SRVC, NbtException.SRV_ERR, "ERR_NAM_SRVC/Unknown error code: 2"),
                Arguments.of(NbtException.ERR_NAM_SRVC, NbtException.IMP_ERR, "ERR_NAM_SRVC/Unknown error code: 4"),

    }

    /**
     * Adds a single command-line argument to pass to the Python script.
     *
     * @param value the argument value to add
     * @return this PythonJob instance for method chaining
     */
    public PythonJob arg(final String value) {
        argList.add(value);
        return this;
    }

    /**
     * Adds multiple command-line arguments to pass to the Python script.
     *

    }

    @Test
    void testMessageAndCauseConstructor() {
        // Test the constructor with both message and cause arguments
        String message = "Test message with cause";
        Throwable cause = new IllegalArgumentException("Invalid argument");
        RequestTimeoutException exception = new RequestTimeoutException(message, cause);
        assertEquals(message, exception.getMessage(), "Message should match the provided string");