{
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["body", "size"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "XL",
                }
            ],
            "body": {"title": "towel", "size": "XL"},
        }
    ) | IsDict(

        {
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

    }

    @Override
    protected LocalDateTime toLocalDateTime(final Object value) {
        if (value != null) {
            try {
                final Instant instant = Instant.from(DateTimeFormatter.ISO_INSTANT.parse(value.toString()));
                return LocalDateTime.ofInstant(instant, ZoneId.systemDefault());
            } catch (final DateTimeParseException e) {
                logger.debug("Invalid date format: {}", value, e);

import java.io.File;
import java.net.MalformedURLException;
import java.net.URL;
import java.net.URLClassLoader;

// TODO(b/65488446): Make this a public API.
/** Utility method to parse the system class path. */
final class ClassPathUtil {
  private ClassPathUtil() {}

  /**
   * Returns the URLs in the class path specified by the {@code java.class.path} {@linkplain

			// Old bucket without bucket metadata. Hence we migrate existing settings.
			if err = b.convertLegacyConfigs(ctx, objectAPI, configs); err != nil {
				return b, err
			}
		}
	}

	if parse {
		// nothing to update, parse and proceed.
		if err = b.parseAllConfigs(ctx, objectAPI); err != nil {
			return b, err
		}
	}

	// migrate unencrypted remote targets

</li>
<li>
<code>NOSPLIT</code> = 4
<br>
(For <code>TEXT</code> items.)
Don't insert the preamble to check if the stack must be split.
The frame for the routine, plus anything it calls, must fit in the
spare space remaining in the current stack segment.
Used to protect routines such as the stack splitting code itself.
</li>
<li>
<code>RODATA</code> = 8
<br>
(For <code>DATA</code> and <code>GLOBL</code> items.)

Dann verwenden wir den Request direkt und extrahieren den Body als `bytes`. Das bedeutet, dass FastAPI nicht einmal versucht, den Request-Payload als JSON zu parsen.

Und dann parsen wir in unserem Code diesen YAML-Inhalt direkt und verwenden dann wieder dasselbe Pydantic-Modell, um den YAML-Inhalt zu validieren:

//// tab | Pydantic v2

```Python hl_lines="26-33"

			<!-- Supported MIME type -->
			<arg>
  "(application/xml"
+ "|application/xhtml+xml"
+ "|application/rdf+xml"
+ "|application/pdf"
+ "|application/x-freemind"
+ "|text/xml"
+ "|text/xml-external-parsed-entity)"
			</arg>
		</postConstruct>
	</component>

	<component name="fsFileRule" class="org.codelibs.fess.crawler.rule.impl.RegexRule" >
		<property name="ruleId">"fsFileRule"</property>

                }
                XIncludeAwareXmlProvider provider = new XIncludeAwareXmlProvider()
                def doc = new gradlebuild.docs.dsl.docbook.model.ClassDoc(className, provider.parse(classFile), document, classMetaData, extensionMetaData)
                docBuilder.build(doc)
                return doc
            } catch (ClassDocGenerationException e) {
                throw e

		w := NewWriter(out)
		for _, f := range files {
			if err := w.WriteHeader(f.header); err != nil {
				t.Fatalf("unable to write previously parsed header: %s", err)
			}
			if _, err := w.Write(f.content); err != nil {
				t.Fatalf("unable to write previously parsed content: %s", err)
			}
		}
		if err := w.Close(); err != nil {
			t.Fatalf("Unable to write archive: %s", err)
		}