protected final BeanDesc beanDesc;

    /** The method */
    protected final Method method;

    /** The method name */
    protected final String methodName;

    /** Array of method parameter types */
    protected final Class<?>[] parameterTypes;

    /** The return type of the method */
    protected final Class<?> returnType;

    /** Information about parameterized argument types */

        void shouldHaveAllRequiredMethodNames() {
            java.lang.reflect.Method[] methods = SmbSession.class.getDeclaredMethods();
            java.util.Set<String> methodNames =
                    java.util.Arrays.stream(methods).map(java.lang.reflect.Method::getName).collect(java.util.stream.Collectors.toSet());

            assertTrue(methodNames.contains("close"), "Should contain close method");

            assertEquals(0, response.writeBytesWireFormat(dst, 50));
            assertEquals(0, response.writeBytesWireFormat(dst, 99));
        }

        @Test
        @DisplayName("Should return 0 with empty array")
        void testWriteBytesWireFormatWithEmptyArray() {
            // Given
            byte[] dst = new byte[0];

            // When
            int result = response.writeBytesWireFormat(dst, 0);

Er nimmt eine Liste entgegen, die für jeden Tag ein <abbr title="Dictionary – Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">Dictionary</abbr> enthält.

Jedes Dictionary kann Folgendes enthalten:

* `name` (**erforderlich**): ein `str` mit demselben Tag-Namen, den Sie im Parameter `tags` in Ihren *Pfadoperationen* und `APIRouter`n verwenden.

///

## Sadece list olan body’ler { #bodies-of-pure-lists }

Beklediğiniz JSON body’nin en üst seviye değeri bir JSON `array` (Python’da `list`) ise, tipi Pydantic modellerinde olduğu gibi fonksiyonun parametresinde tanımlayabilirsiniz:

```Python
images: list[Image]
```

şu örnekte olduğu gibi:

        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        return fessConfig.isCrawlerDocumentDuplicateTermRemoved();
    }

    /**
     * Gets the array of space character codes from configuration.
     *
     * @return array of character codes to be treated as spaces
     */
    protected int[] getSpaceChars() {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();

		if err != nil {
			return nil, err
		}
	default:
		return nil, errInvalidASTNode
	}
	rhs = *eltVal

	// If RHS is array compare each element.
	if arr, ok := rhs.ToArray(); ok {
		for _, element := range arr {
			// If we have an array we are on the wrong level.
			if cmp(element, *lhs) {
				return FromBool(true), nil
			}
		}
		return FromBool(false), nil
	}

from starlette.routing import BaseRoute

validation_error_definition = {
    "title": "ValidationError",
    "type": "object",
    "properties": {
        "loc": {
            "title": "Location",
            "type": "array",
            "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]},
        },
        "msg": {"title": "Message", "type": "string"},
        "type": {"title": "Error Type", "type": "string"},

///

## Bodys aus reinen Listen { #bodies-of-pure-lists }

Wenn das äußerste Element des JSON-Bodys, das Sie erwarten, ein JSON-`array` (eine Python-`list`) ist, können Sie den Typ im Funktionsparameter deklarieren, mit der gleichen Syntax wie in Pydantic-Modellen:

```Python
images: list[Image]
```

so wie in:

import static com.google.common.collect.testing.features.CollectionSize.ZERO;
import static com.google.common.collect.testing.testers.ReflectionFreeAssertThrows.assertThrows;
import static java.util.Arrays.asList;

import com.google.common.annotations.GwtCompatible;
import com.google.common.collect.testing.AbstractCollectionTester;
import com.google.common.collect.testing.MinimalCollection;