}
        RenderDataUtil.register(data, "fileConfigItems", itemList);
    }

    /**
     * Creates a dropdown item with label and value.
     *
     * @param label the item label
     * @param value the item value
     * @return map containing the item
     */
    protected Map<String, String> createItem(final String label, final String value) {
        final Map<String, String> map = new HashMap<>(2);

                                            </thead>
                                            <tbody>
                                            <c:forEach var="artifact" varStatus="s" items="${installedArtifactItems}">
                                                <tr>
                                                    <td>${f:h(artifact.type)}</td>

{* ../../docs_src/pydantic_v1_in_v2/tutorial003_an_py310.py hl[2:3,6,12,21:22] *}

En el ejemplo anterior, el modelo de entrada es un modelo de Pydantic v1 y el modelo de salida (definido en `response_model=ItemV2`) es un modelo de Pydantic v2.

### Parámetros de Pydantic v1 { #pydantic-v1-parameters }

                                            <tbody>
                                            <c:forEach var="data" varStatus="s"
                                                       items="${keyMatchItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/keymatch/details/4/${f:u(data.id)}" role="button" tabindex="0">

                                            <tbody>
                                            <c:forEach var="data" varStatus="s"
                                                       items="${relatedContentItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/relatedcontent/details/4/${f:u(data.id)}" role="button" tabindex="0">

///

```mermaid
graph TB

query_extractor(["query_extractor"])
query_or_cookie_extractor(["query_or_cookie_extractor"])

read_query["/items/"]

query_extractor --> query_or_cookie_extractor --> read_query
```

## Utilizando a mesma dependência múltiplas vezes { #using-the-same-dependency-multiple-times }

)
def response_model_model1_annotation_model2_return_invalid_dict() -> Item:
    return {"name": "John"}


@app.get(
    "/response_model_model1-annotation_model2-return_invalid_model", response_model=User
)
def response_model_model1_annotation_model2_return_invalid_model() -> Item:
    return Item(name="Foo", price=42.0)


@app.get(

{* ../../docs_src/pydantic_v1_in_v2/tutorial003_an_py310.py hl[2:3,6,12,21:22] *}

No exemplo acima, o modelo de entrada é um modelo Pydantic v1, e o modelo de saída (definido em `response_model=ItemV2`) é um modelo Pydantic v2.

### Parâmetros do Pydantic v1 { #pydantic-v1-parameters }

                                            </tr>
                                            </thead>
                                            <tbody>
                                            <c:forEach var="data" varStatus="s" items="${jobLogItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/joblog/details/4/${f:u(data.id)}">

    }

    /**
     * Returns the last ExecutionPlanItem in the supplied phase. If no items are in the specified phase,
     * the closest executionPlanItem from an earlier phase item will be returned.
     *
     * @param requestedPhase the requested phase
     *                       The execution plan item
     * @return The ExecutionPlanItem or null if none can be found
     */