// and success cases.
func TestCrossDeviceMountPaths(t *testing.T) {
	successCase := `/dev/0 /path/to/0/1 type0 flags 0 0
		/dev/1    /path/to/1   type1	flags 1 1
		/dev/2 /path/to/1/2 type2 flags,1,2=3 2 2
                /dev/3 /path/to/1.1 type3 flags,1,2=3 3 3
		`
	var err error
	dir := t.TempDir()
	mountsPath := filepath.Join(dir, "mounts")

        // 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.");

                final Type1Message type1 = new Type1Message(src);
                final Type2Message type2 = new Type2Message(tc, type1, challenge, null);
                msg = new String(Base64.encode(type2.toByteArray()), "US-ASCII");
                resp.setHeader("WWW-Authenticate", "NTLM " + msg);
            } else if (src[8] == 3) {
                final Type3Message type3 = new Type3Message(src);

            if (src[8] == 1) {
                final Type1Message type1 = new Type1Message(src);
                final Type2Message type2 = new Type2Message(type1, challenge, null);
                msg = Base64.encode(type2.toByteArray());
                resp.setHeader("WWW-Authenticate", "NTLM " + msg);
            } else if (src[8] == 3) {
                final Type3Message type3 = new Type3Message(src);

 * <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>

# 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]

     * 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.
     *

* Sie können alle gültigen Pydantic-Datentypen hier überprüfen: [Pydantic-Datentypen](https://docs.pydantic.dev/latest/usage/types/types/).

## Beispiel { #example }

Hier ist ein Beispiel für eine *Pfadoperation* mit Parametern, die einige der oben genannten Typen verwenden.

{* ../../docs_src/extra_data_types/tutorial001_an_py310.py hl[1,3,12:16] *}

# Advanced Python Types { #advanced-python-types }

Here are some additional ideas that might be useful when working with Python types.

## Using `Union` or `Optional` { #using-union-or-optional }

If your code for some reason can't use `|`, for example if it's not in a type annotation but in something like `response_model=`, instead of using the vertical bar (`|`) you can use `Union` from `typing`.