```JSON
{
  "detail": [
    {
      "type": "int_parsing",
      "loc": [
        "path",
        "item_id"
      ],
      "msg": "Input should be a valid integer, unable to parse string as an integer",
      "input": "foo"
    }
  ]
}
```

Der Pfad-Parameter `item_id` hatte den Wert `"foo"`, was kein `int` ist.

	db.Statement.Settings.Range(func(k, v interface{}) bool {
		tx.Statement.Settings.Store(k, v)
		return true
	})

	if err := tx.Statement.Parse(dest); err != nil {
		tx.AddError(err)
		return tx
	}
	tx.Statement.ReflectValue = reflectValue
	tx.Statement.Unscoped = db.Statement.Unscoped
	return tx
}

                    final DocumentBuilder builder = factory.newDocumentBuilder();

                    final Document doc = builder.parse(is);
                    final NodeList nodeList = doc.getElementsByTagName("component");
                    for (int i = 0; i < nodeList.getLength(); i++) {
                        final Node node = nodeList.item(i);

    }

    /**
     * Parses a query string and extracts parameter name-value pairs.
     * Applies URL decoding with the specified character encoding.
     *
     * @param queryString the query string to parse
     * @param enc the character encoding to use for URL decoding
     * @return a map of parameter names to their decoded values
     * @throws IOException if an error occurs during URL decoding
     */

        "$@"

# Stop when "xargs" is not available.
if ! command -v xargs >/dev/null 2>&1
then
    die "xargs is not available"
fi

# Use "xargs" to parse quoted args.
#
# With -n1 it outputs one arg per line, with the quotes and backslashes removed.
#
# In Bash we could simply go:
#
#   readarray ARGS < <( xargs -n1 <<<"$var" ) &&
#   set -- "${ARGS[@]}" "$@"

                    DEROctetString authData = ASN1Util.as(DEROctetString.class, ASN1Util.as(ASN1TaggedObject.class, authElement, 1));

                    this.userAuthorizations.addAll(KerberosAuthData.parse(authType.getValue().intValue(), authData.getOctets(), keys));
                }
                break;
            default:
                throw new PACDecodingException("Unknown field " + tagged.getTagNo());

        assertTrue((type1.getFlags() & NtlmFlags.NTLMSSP_NEGOTIATE_OEM_WORKSTATION_SUPPLIED) != 0);
    }

    @Test
    @DisplayName("Should parse Type 1 message from byte array")
    void testType1MessageFromBytes() throws IOException {
        // Given - Create a Type 1 message and convert to bytes
        Type1Message original = new Type1Message(mockContext);

            if (rawVal != null) {
                try {
                    return new Date(Long.parseLong(rawVal));
                } catch (NumberFormatException e) {
                    getLogger().debug("Cannot parse lastUpdated date: '" + rawVal + "'. Ignoring.", e);
                }
            }
        }
        return null;
    }

    private String getError(File touchFile, String key) {

                        crawlingInfo = new CrawlingInfo();
                        crawlingInfo.setSessionId(list.get(0));
                        crawlingInfo.setCreatedTime(formatter.parse(list.get(1)).getTime());
                        crawlingInfoBhv.insert(crawlingInfo, op -> op.setRefreshPolicy(Constants.TRUE));
                    }

En este ejemplo, no declaramos ningún modelo Pydantic. De hecho, el cuerpo del request ni siquiera se <abbr title="converted from some plain format, like bytes, into Python objects">parse</abbr> como JSON, se lee directamente como `bytes`, y la función `magic_data_reader()` sería la encargada de parsearlo de alguna manera.

Sin embargo, podemos declarar el esquema esperado para el cuerpo del request.