"application/x-font-otf",
				"application/x-font-pcf",
				"application/x-font-snf",
				"application/x-font-speedo",
				"application/x-font-sunos-news",
				"application/x-font-ttf",
				"application/x-font-type1",
				"application/x-font-adobe-metric",
				"application/x-font-printer-metric",
				"application/x-font-vfont",
				"application/x-foxmail",
				"application/x-futuresplash",
				"application/x-gnucash",

 * <p>
 * Example usage:
 * <pre>
 * {@literal @}Typed(ServiceImpl.class)
 * public class ServiceImpl implements Service {
 *     // Implementation
 * }
 * </pre>
 *
 * @since 4.0.0
 */
@Target({FIELD, METHOD, TYPE})
@Retention(RUNTIME)
@Documented
public @interface Typed {
    /**
     * Specifies the types that should be considered for dependency injection.
     * <p>

        // Test with another type and empty raw data
        int type2 = AvPair.MsvAvEOL;
        byte[] raw2 = new byte[] {};
        AvPair avPair2 = new AvPair(type2, raw2);

        assertEquals(type2, avPair2.getType(), "Type should match the constructor argument for empty raw data.");
        assertArrayEquals(raw2, avPair2.getRaw(), "Raw data should match the constructor argument for empty raw data.");

    print(data)
```

### Generische Typen { #generic-types }

Einige Typen können „Typ-Parameter“ in eckigen Klammern annehmen, um ihre inneren Typen zu definieren, z. B. eine „Liste von Strings“ würde als `list[str]` deklariert.

Diese Typen, die Typ-Parameter annehmen können, werden **generische Typen** oder **Generics** genannt.

Sie können dieselben eingebauten Typen als Generics verwenden (mit eckigen Klammern und Typen darin):

  }

  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());

# Fortgeschrittene Python-Typen { #advanced-python-types }

Hier sind einige zusätzliche Ideen, die beim Arbeiten mit Python-Typen nützlich sein könnten.

## `Union` oder `Optional` verwenden { #using-union-or-optional }

Wenn Ihr Code aus irgendeinem Grund nicht `|` verwenden kann, z. B. wenn es nicht in einer Typannotation ist, sondern in etwas wie `response_model=`, können Sie anstelle des senkrechten Strichs (`|`) `Union` aus `typing` verwenden.

import types
from collections.abc import Callable
from enum import Enum
from typing import Any, TypeVar, Union

from pydantic import BaseModel
from pydantic.main import IncEx as IncEx

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

O Python possui suporte para "type hints" opcionais (também chamados de "type annotations").

Esses **"type hints"** ou anotações são uma sintaxe especial que permite declarar o <dfn title="por exemplo: str, int, float, bool">tipo</dfn> de uma variável.

Ao declarar tipos para suas variáveis, editores e ferramentas podem oferecer um melhor suporte.

  }

  private static class TypeA {}

  private interface TypeB {}

  private static class HasBoth extends TypeA implements TypeB {}

  @GwtIncompatible // Iterables.filter(Iterable, Class)
  public void testFilterByType() throws Exception {
    HasBoth hasBoth = new HasBoth();
    FluentIterable<TypeA> alist =
        FluentIterable.from(asList(new TypeA(), new TypeA(), hasBoth, new TypeA()));

     * Artifact type name for a JAR file containing test sources.
     */
    String TEST_JAVA_SOURCE = "test-java-source";

    /**
     * Returns the dependency type id.
     * The id uniquely identifies this <i>dependency type</i>.
     *
     * @return the id of this type, never {@code null}.
     */
    @Nonnull
    @Override
    String id();

    /**
     * Returns the dependency type language.
     *