final String[] labels = request.getParameterValues("fields.label");
        if (labels != null && labels.length > 0) {
            // Validate against configured label types (union of request locale and ROOT for robustness)
            final Locale requestLocale = request.getLocale() != null ? request.getLocale() : Locale.ROOT;
            final Set<String> allowedLabels = new java.util.HashSet<>();

```Python
from typing import Union
from fastapi import Cookie, FastAPI, Header, Path, Query

app = FastAPI()


@app.get("/items/{item_id}")
def main(
    item_id: int = Path(gt=0),
    query: Union[str, None] = Query(default=None, max_length=10),
    session: Union[str, None] = Cookie(default=None, min_length=3),
    x_trace: Union[str, None] = Header(default=None, title="Tracing header"),

	<li>The type set of a term of the form <code>~T</code>
		is the set of all types whose underlying type is <code>T</code>.
	</li>

	<li>The type set of a <i>union</i> of terms
		<code>t<sub>1</sub>|t<sub>2</sub>|…|t<sub>n</sub></code>
		is the union of the type sets of the terms.
	</li>
</ul>

<p>
The quantification "the set of all non-interface types" refers not just to all (non-interface)

    for details of what operations are supported and what are the differences
    from NumPy.
*   `tf.types.experimental.TensorLike` is a new `Union` type that can be used as
    type annotation for variables representing a Tensor or a value that can be
    converted to Tensor by `tf.convert_to_tensor`.