{* ../../docs_src/body_nested_models/tutorial005_py310.py hl[2,8] *}

Es wird getestet, ob der String eine gültige URL ist, und als solche wird er in JSON Schema / OpenAPI dokumentiert.

## Attribute mit Listen von Kindmodellen { #attributes-with-lists-of-submodels }

Sie können Pydantic-Modelle auch als Typen innerhalb von `list`, `set`, usw. verwenden:

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

String’in geçerli bir URL olup olmadığı kontrol edilir ve JSON Schema / OpenAPI’de de buna göre dokümante edilir.

## Alt modellerden oluşan list’lere sahip attribute’lar { #attributes-with-lists-of-submodels }

Pydantic modellerini `list`, `set` vb. tiplerin alt tipi olarak da kullanabilirsiniz:

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

        @Test
        @DisplayName("DosFileFilter wildcard and attributes are preserved through unwrap")
        void dosFileFilter_preservesFieldsThroughUnwrap() throws Exception {
            // Test with various wildcard patterns and attribute masks
            String[] wildcards = { "*.txt", "test*", null };
            int[] attributes = { 0x10, 0x20, 0x07 };

            for (int i = 0; i < wildcards.length; i++) {

                }

                if (parameterConfiguration != null) {
                    Map<String, String> attributes = new HashMap<>(parameterConfiguration.attributes());

                    String attributeForImplementation = parameterConfiguration.attribute("implementation");
                    String parameterForImplementation = parameter.getImplementation();

         * return null; }
         */
    }

    /**
     * Gets the reading from the attribute.
     * @param stream The token stream.
     * @return The reading from the attribute.
     */
    protected String getReadingFromAttribute(final TokenStream stream) {
        return null;
        /*

And these models are all sharing a lot of the data and duplicating attribute names and types.

We could do better.

We can declare a `UserBase` model that serves as a base for our other models. And then we can make subclasses of that model that inherit its attributes (type declarations, validation, etc).

All the data conversion, validation, documentation, etc. will still work as normally.

     * operation to return.
     */
    int FILE_NOTIFY_CHANGE_CREATION = 0x00000040;

    /**
     * Any change to the extended attributes (EA) of a file in the watched directory or subtree causes a change notification wait operation to return.
     */
    int FILE_NOTIFY_CHANGE_EA = 0x00000080;

    /**

        } catch (final UnsupportedEncodingException ex) {
            throw new IORuntimeException(ex);
        }
    }

    /**
     * Encodes the value of an attribute.
     *
     * @param s
     *            The attribute value.
     * @return The encoded attribute value.
     */
    public static String encodeAttrQuot(final String s) {
        if (s == null) {
            return null;
        }

                        final Node node = nodeList.item(i);
                        final NamedNodeMap attributes = node.getAttributes();
                        if (attributes != null) {
                            final Node classAttr = attributes.getNamedItem("class");
                            if (classAttr != null) {
                                final String value = classAttr.getNodeValue();

        return this.bgBright(Color.RED);
    }

    public Ansi bgBrightYellow() {
        return this.bgBright(Color.YELLOW);
    }

    public Ansi a(Attribute attribute) {
        attributeOptions.add(attribute.value());
        return this;
    }

    /**
     * Moves the cursor to row n, column m. The values are 1-based.
     * Any values less than 1 are mapped to 1.
     *