this(type1, null, null);
    }

    /**
     * Creates a Type-2 message in response to the given Type-1 message.
     *
     * @param type1 The Type-1 message which this represents a response to.
     * @param challenge The challenge from the domain controller/server.
     * @param target The authentication target.
     */

        when:
        def link = renderer.link(type('some.other.Class', true), listener)

        then:
        format(link) == '<classname><classname>some.other.Class</classname>[]</classname>'
    }

    def rendersLinkToParameterizedType() {
        def metaData = type('org.gradle.SomeClass')
        metaData.addTypeArg(type('Type1'))
        metaData.addTypeArg(type('Type2'))

        when:

        expect:
        type.signature == 'org.gradle.SomeType<Type1, Type2>'
    }

    def formatsSignatureForWildcardType() {
        type.setWildcard()

        expect:
        type.signature == '?'
    }

    def formatsSignatureForWildcardWithUpperBound() {
        type.setUpperBounds(new TypeMetaData('OtherType'))

        expect:

import types
from enum import Enum
from typing import Any, Callable, Dict, Set, Type, TypeVar, Union

from pydantic import BaseModel

DecoratedCallable = TypeVar("DecoratedCallable", bound=Callable[..., Any])
UnionType = getattr(types, "UnionType", Union)
ModelNameMap = Dict[Union[Type[BaseModel], Type[Enum]], str]

	"sort"
	"strings"
	"sync"

	"github.com/tinylib/msgp/msgp"
)

// Recycler will override the internal reuse in typed handlers.
// When this is supported, the handler will not do internal pooling of objects,
// call Recycle() when the object is no longer needed.
// The recycler should handle nil pointers.
type Recycler interface {
	Recycle()
}

// MSS is a map[string]string that can be serialized.

Diese Typen mit inneren Typen werden „**generische**“ Typen genannt. Es ist möglich, sie mit ihren inneren Typen zu deklarieren.

Um diese Typen und die inneren Typen zu deklarieren, können Sie Pythons Standardmodul `typing` verwenden. Es existiert speziell für die Unterstützung dieser Typhinweise.

#### Neuere Python-Versionen

These types that have internal types are called "**generic**" types. And it's possible to declare them, even with their internal types.

To declare those types and the internal types, you can use the standard Python module `typing`. It exists specifically to support these type hints.

#### Newer versions of Python

  }

  private static class TypeA {}

  private interface TypeB {}

  private static class HasBoth extends TypeA implements TypeB {}

  @GwtIncompatible // Iterables.filter(Iterable, Class)
  public void testFilterByType_iterator() throws Exception {
    HasBoth hasBoth = new HasBoth();
    Iterable<TypeA> alist = Lists.newArrayList(new TypeA(), new TypeA(), hasBoth, new TypeA());

package dns

import (
	"encoding/json"
	"time"
)

const (
	defaultTTL            = 30
	defaultContextTimeout = 5 * time.Minute
)

// SrvRecord - represents a DNS service record
type SrvRecord struct {
	Host     string      `json:"host,omitempty"`
	Port     json.Number `json:"port,omitempty"`
	Priority int         `json:"priority,omitempty"`
	Weight   int         `json:"weight,omitempty"`

```Python hl_lines="1"
{!../../../docs_src/python_types/tutorial005.py!}
```

### Types génériques avec des paramètres de types

Il existe certaines structures de données qui contiennent d'autres valeurs, comme `dict`, `list`, `set` et `tuple`. Et les valeurs internes peuvent elles aussi avoir leurs propres types.

Pour déclarer ces types et les types internes, on utilise le module standard de Python `typing`.