},
	{
		// Check a pointer to a union if the union has any
		// pointer fields.
		name:    "union1",
		c:       `typedef union { char **p; unsigned long i; } u29; void f29(u29 *pu) {}`,
		imports: []string{"unsafe"},
		body:    `var b C.char; p := &b; C.f29((*C.u29)(unsafe.Pointer(&p)))`,
		fail:    true,
	},
	{
		// Don't check a pointer to a union if the union does
		// not have any pointer fields.

public class NormalizingExcludeFactory extends DelegatingExcludeFactory {
    private final Intersections intersections;
    private final Unions unions;

    public NormalizingExcludeFactory(ExcludeFactory delegate) {
        super(delegate);
        this.intersections = new Intersections(this);
        this.unions = new Unions(this);
    }

    @Override
    public ExcludeSpec anyOf(ExcludeSpec one, ExcludeSpec two) {

    ```

## `Union` или `anyOf`

Вы можете определить ответ как `Union` из двух типов. Это означает, что ответ должен соответствовать одному из них.

Он будет определён в OpenAPI как `anyOf`.

Для этого используйте стандартные аннотации типов в Python <a href="https://docs.python.org/3/library/typing.html#typing.Union" class="external-link" target="_blank">`typing.Union`</a>:

!!! note "Примечание"

    And the same as with Python 3.8, from the `typing` module:

    * `Union`
    * `Optional` (the same as with Python 3.8)
    * ...and others.

    In Python 3.10, as an alternative to using the generics `Union` and `Optional`, you can use the <abbr title='also called "bitwise or operator", but that meaning is not relevant here'>vertical bar (`|`)</abbr> to declare unions of types, that's a lot better and simpler.

=== "Python 3.9+"

/// @brief The TaggedValue struct that supports Python-like behavior in C++.
///
/// The TaggedValue struct implements a tagged union data structure
/// (https://en.wikipedia.org/wiki/Tagged_union) in the TensorFlow C++ API. It
/// contains a `Type` enum (sometimes referred to as a "tag")
/// and a `Data` union for holding values.

#ifndef TENSORFLOW_CC_EXPERIMENTAL_LIBTF_VALUE_H_
#define TENSORFLOW_CC_EXPERIMENTAL_LIBTF_VALUE_H_

				t = nil // ∅ term
			}
			terms = termlist{(*term)(t)}
		}
		// The type set of a union expression is the union
		// of the type sets of each term.
		allTerms = allTerms.union(terms)
		if len(allTerms) > maxTermCount {
			if check != nil {
				check.errorf(atPos(pos), InvalidUnion, "cannot handle more than %d union terms (implementation limitation)", maxTermCount)
			}
			unionSets[utyp] = &invalidTypeSet

				t = nil // ∅ term
			}
			terms = termlist{(*term)(t)}
		}
		// The type set of a union expression is the union
		// of the type sets of each term.
		allTerms = allTerms.union(terms)
		if len(allTerms) > maxTermCount {
			if check != nil {
				check.errorf(atPos(pos), InvalidUnion, "cannot handle more than %d union terms (implementation limitation)", maxTermCount)
			}
			unionSets[utyp] = &invalidTypeSet

            ),
        ] = None,
        discriminator: Union[str, None] = None,
        strict: Union[bool, None] = _Unset,
        multiple_of: Union[float, None] = _Unset,
        allow_inf_nan: Union[bool, None] = _Unset,
        max_digits: Union[int, None] = _Unset,
        decimal_places: Union[int, None] = _Unset,
        examples: Optional[List[Any]] = None,
        example: Annotated[

    headers: Optional[Dict[str, Union[Header, Reference]]] = None
    securitySchemes: Optional[Dict[str, Union[SecurityScheme, Reference]]] = None
    links: Optional[Dict[str, Union[Link, Reference]]] = None
    # Using Any for Specification Extensions
    callbacks: Optional[Dict[str, Union[Dict[str, PathItem], Reference, Any]]] = None
    pathItems: Optional[Dict[str, Union[PathItem, Reference]]] = None

def get_graphql_response(
    *,
    settings: Settings,
    query: str,
    after: Union[str, None] = None,
    category_id: Union[str, None] = None,
    discussion_number: Union[int, None] = None,
    discussion_id: Union[str, None] = None,
    comment_id: Union[str, None] = None,
    body: Union[str, None] = None,
) -> Dict[str, Any]:
    headers = {"Authorization": f"token {settings.input_token.get_secret_value()}"}