* <origin><![CDATA[
     * <distributionManagement>
     * <repository>
     * <id>some-repo</id>
     * <url>scp://host/path</url>
     * </repository>
     * <snapshotRepository>
     * <id>some-snap-repo</id>
     * <url>scp://host/snapshot-path</url>
     * </snapshotRepository>
     * </distributionManagement>
     * ]]></origin>
     * <usage><![CDATA[

-N ISTIO_POSTRT
-A POSTROUTING -j ISTIO_POSTRT
-A ISTIO_POSTRT -m owner --socket-exists -p tcp -m set --match-set istio-inpod-probes-v4 dst -j SNAT --to-source 169.254.7.127
COMMIT
* nat
-N ISTIO_POSTRT
-A POSTROUTING -j ISTIO_POSTRT
-A ISTIO_POSTRT -m owner --socket-exists -p tcp -m set --match-set istio-inpod-probes-v6 dst -j SNAT --to-source fd16:9254:7127:1337:ffff:ffff:ffff:ffff

	iptablesBuilder.AppendRuleV4(
		iptableslog.UndefinedCommand, ChainHostPostrouting, iptablesconstants.NAT,
		"-m", "owner",
		"--socket-exists",
		"-p", "tcp",
		"-m", "set",
		"--match-set", fmt.Sprintf(ipset.V4Name, ProbeIPSet),
		"dst",
		"-j", "SNAT",
		"--to-source", hostSNATIP.String(),
	)

    if (!v2_reader_->status().ok()) {
      tsl::Set_TF_Status_from_Status(status, v2_reader_->status());
      return;
    }
    auto result = BuildV2VarMaps();
    var_to_shape_map_.swap(result.first);
    var_to_data_type_map_.swap(result.second);
  } else {
    reader_.reset(new TensorSliceReader(filename));
    if (!reader_->status().ok()) {
      tsl::Set_TF_Status_from_Status(status, reader_->status());
      return;

* nat
-N ISTIO_POSTRT
-A POSTROUTING -j ISTIO_POSTRT
-A ISTIO_POSTRT -m owner --socket-exists -p tcp -m set --match-set istio-inpod-probes-v4 dst -j SNAT --to-source 169.254.7.127

   * ({@code application/soap+xml}) is used to identify SOAP 1.2 message envelopes that have been
   * serialized with XML 1.0.
   *
   * <p>For SOAP 1.1 messages, see {@code XML_UTF_8} per <a
   * href="http://www.w3.org/TR/2000/NOTE-SOAP-20000508/">W3C Note on Simple Object Access Protocol
   * (SOAP) 1.1</a>
   *
   * @since 20.0
   */

      }
    },
    ALMOST_SORTED {
      @Override
      void arrange(List<Integer> list) {
        sort(list);
        if (list.size() > 1) {
          int i = (list.size() - 1) / 2;
          Collections.swap(list, i, i + 1);
        }
      }
    },
    RANDOM {
      @Override
      void arrange(List<Integer> list) {}
    };

    abstract void arrange(List<Integer> list);
  }

      }
    },
    ALMOST_SORTED {
      @Override
      void arrange(List<Integer> list) {
        sort(list);
        if (list.size() > 1) {
          int i = (list.size() - 1) / 2;
          Collections.swap(list, i, i + 1);
        }
      }
    },
    RANDOM {
      @Override
      void arrange(List<Integer> list) {}
    };

    abstract void arrange(List<Integer> list);
  }

      if (comparator.compare(uncheckedCastNullableTToT(buffer[i]), pivotValue) < 0) {
        swap(pivotNewIndex, i);
        pivotNewIndex++;
      }
    }
    buffer[right] = buffer[pivotNewIndex];
    buffer[pivotNewIndex] = pivotValue;
    return pivotNewIndex;
  }

  private void swap(int i, int j) {
    T tmp = buffer[i];
    buffer[i] = buffer[j];
    buffer[j] = tmp;
  }

In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:

{* ../../docs_src/dataclasses/tutorial003.py hl[1,5,8:11,14:17,23:25,28] *}

1. We still import `field` from standard `dataclasses`.