use(BuildableDOMCategory) {
            DslDocModel model = createDslDocModelClosure(loadPluginsMetaData())
            def root = doc.documentElement
            root.section.table.each { Element table ->
                mergeContent(table, model)
            }
            model.classes.each {
                generateDocForType(root.ownerDocument, model, linkRepository, it)
            }
        }

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Create your data model { #create-your-data-model }

Then you declare your data model as a class that inherits from `BaseModel`.

Use standard Python types for all the attributes:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}

    return {"p": p}


class FormModelRequiredStr(BaseModel):
    p: str


@app.post("/model-required-str", operation_id="model_required_str")
async def read_model_required_str(p: Annotated[FormModelRequiredStr, Form()]):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    ["/required-str", "/model-required-str"],
)
def test_required_str_schema(path: str):
    openapi = app.openapi()

@app.get("/sync/dict-no-response-model")
def sync_dict_no_response_model():
    return {"name": "foo", "value": 123}


@app.get("/sync/dict-with-response-model", response_model=ItemOut)
def sync_dict_with_response_model(
    dep: Annotated[int, Depends(dep_b)],
):
    return {"name": "foo", "value": 123, "dep": dep}


@app.get("/sync/model-no-response-model")

    return {"p": p}


class HeaderModelRequiredListStr(BaseModel):
    p: list[str]


@app.get("/model-required-list-str")
def read_model_required_list_str(p: Annotated[HeaderModelRequiredListStr, Header()]):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    ["/required-list-str", "/model-required-list-str"],
)
def test_required_list_str_schema(path: str):

        printStream.accept("  -m, --model-version <version> Target POM model version (4.0.0 or 4.1.0)");
        printStream.accept("  -d, --directory <path> Directory to use as starting point for POM discovery");
        printStream.accept("  -i, --infer           Remove redundant information that can be inferred by Maven");
        printStream.accept("      --model           Fix Maven 4 compatibility issues in POM files");

    @Test
    void testModelSerialization() throws Exception {
        Model model;
        try (InputStream is = getClass().getResourceAsStream("/xml/pom.xml")) {
            model = new MavenXpp3Reader().read(is);
        }

        // Serialize an inner child here so that the BaseObject.childrenTracking is non null
        Build build = model.getBuild();

        ByteArrayOutputStream baos = new ByteArrayOutputStream();

     * @param model The model to serialize, must not be {@code null}.
     * @throws IOException If the model could not be serialized.
     */
    void write(Writer output, Map<String, Object> options, Model model) throws IOException;

    /**
     * Writes the supplied model to the specified byte stream. The stream will be automatically closed before the method
     * returns.
     *

///

## Cookies with a Pydantic Model { #cookies-with-a-pydantic-model }

Declare the **cookie** parameters that you need in a **Pydantic model**, and then declare the parameter as `Cookie`:

{* ../../docs_src/cookie_param_models/tutorial001_an_py310.py hl[9:12,16] *}

**FastAPI** will **extract** the data for **each field** from the **cookies** received in the request and give you the Pydantic model you defined.

    model = ModelWithDefault(foo="foo", bar="bar")
    assert jsonable_encoder(model) == {"foo": "foo", "bar": "bar", "bla": "bla"}
    assert jsonable_encoder(model, exclude_unset=True) == {"foo": "foo", "bar": "bar"}
    assert jsonable_encoder(model, exclude_defaults=True) == {"foo": "foo"}
    assert jsonable_encoder(model, exclude_unset=True, exclude_defaults=True) == {
        "foo": "foo"
    }