_ * docModel.getClassDoc('org.gradle.ExtensionA2') >> extensionA2
        _ * docModel.getClassDoc('org.gradle.ExtensionB') >> extensionB

        def content = parse('''<section>
                <section><title>Properties</title>
                    <table><thead><tr><td/></tr></thead></table>
                </section>
                <section><title>Methods</title>

TF_CAPI_EXPORT void TF_SetXlaMinClusterSize(int size);

// Gets/Sets TF/XLA flag for whether(true) or not(false) to disable constant
// folding. This is for testing to ensure that XLA is being tested rather than
// Tensorflow's CPU implementation through constant folding.
TF_CAPI_EXPORT unsigned char TF_GetXlaConstantFoldingDisabled();
TF_CAPI_EXPORT void TF_SetXlaConstantFoldingDisabled(
    unsigned char should_enable);

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

     * This property is a comma separated list of entries with the syntax <code>GAV&gt;GAV</code>.
     * The first <code>GAV</code> can contain <code>*</code> for any elem (so <code>*:*:*</code> would mean ALL, something
     * you don't want). The second <code>GAV</code> is either fully specified, or also can contain <code>*</code>,
     * then it behaves as "ordinary relocation": the coordinate is preserved from relocated artifact.

            return null;
        }

        if (applicables.size() == 1) {
            return applicables.getFirst();
        }

        // This list will contain the maximally specific methods. Hopefully at
        // the end of the below loop, the list will contain exactly one method,
        // (the most specific method) otherwise we have ambiguity.
        LinkedList<Method> maximals = new LinkedList<>();

// or Adobe Acrobat (though not necessarily limited to these), permission to handle data across domains.
// When clients request content hosted on a particular source domain and that content make requests
// directed towards a domain other than its own, the remote domain needs to host a cross-domain

Then we use the request directly, and extract the body as `bytes`. This means that FastAPI won't even try to parse the request payload as JSON.

And then in our code, we parse that YAML content directly, and then we are again using the same Pydantic model to validate the YAML content:

//// tab | Pydantic v2

```Python hl_lines="26-33"
{!> ../../docs_src/path_operation_advanced_configuration/tutorial007.py!}
```

////

                                    <label for="doc.content" class="col-sm-3 text-sm-right col-form-label">content</label>
                                    <div class="col-sm-9">
                                        <la:errors property="doc.content"/>
                                        <la:text styleId="doc.content" property="doc.content" styleClass="form-control"/>
                                    </div>