{!../../docs_src/dataclasses/tutorial003.py!}
```

1. Ainda importamos `field` das `dataclasses` padrão.

2. `pydantic.dataclasses` é um substituto direto para `dataclasses`.

3. A dataclass `Author` inclui uma lista de dataclasses `Item`.

4. A dataclass `Author` é usada como o parâmetro `response_model`.

5. Você pode usar outras anotações de tipo padrão com dataclasses como o corpo da requisição.

								<resource>
									<directory>${project.basedir}</directory>
									<filtering>true</filtering>
									<includes>
										<include>bin/fess</include>
										<include>bin/fess.in.sh</include>
										<include>bin/generate-thumbnail</include>
										<include>bin/plugin.xml</include>
									</includes>
								</resource>
							</resources>
						</configuration>
					</execution>
					<execution>

# for any Python version present
pushd /usr/include/x86_64-linux-gnu
for f in $(ls | grep python); do
  # set up symlink for devtoolset-9
  rm -f /dt9/usr/include/x86_64-linux-gnu/$f
  ln -s /usr/include/x86_64-linux-gnu/$f /dt9/usr/include/x86_64-linux-gnu/$f
done
popd

# Python 3.10 include headers fix:
# sysconfig.get_path('include') incorrectly points to /usr/local/include/python

        assertTrue(filter.include(newArtifact(Artifact.SCOPE_COMPILE)));
        assertTrue(filter.include(newArtifact(Artifact.SCOPE_SYSTEM)));
        assertTrue(filter.include(newArtifact(Artifact.SCOPE_PROVIDED)));
        assertFalse(filter.include(newArtifact(Artifact.SCOPE_RUNTIME)));
        assertFalse(filter.include(newArtifact(Artifact.SCOPE_TEST)));
    }

    @Test

#include <algorithm>
#include <unordered_map>
#include <unordered_set>
#include <utility>

#include "absl/strings/match.h"
#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/tf_buffer_internal.h"
#include "tensorflow/core/framework/attr_value_util.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/function.pb.h"

				<include name="dataformat/curvesapi-*" />
				<include name="dataformat/orangesignal-csv-*" />
				<include name="dataformat/poi-*" />
				<include name="dataformat/SparseBitSet-*" />
				<include name="dataformat/stax-api-*" />
				<include name="dataformat/xmlbeans-*" />
				<include name="minhash/guava-*" />
				<include name="minhash/failureaccess-*" />
				<include name="minhash/jspecify-*" />

<img src="/img/tutorial/extending-openapi/image04.png">

## Alterar parâmetros de UI padrão do Swagger

O FastAPI inclui alguns parâmetros de configuração padrão apropriados para a maioria dos casos de uso.

Inclui estas configurações padrão:

{* ../../fastapi/openapi/docs.py ln[7:23] *}

      <outputDirectory>bin</outputDirectory>
      <includes>
        <include>mvn</include>
        <include>mvnenc</include>
        <include>mvnsh</include>
        <include>mvnup</include>
        <include>mvnDebug</include>
        <include>mvnencDebug</include>
        <!-- This is so that CI systems can periodically run the profiler -->
        <include>mvnyjp</include>
      </includes>
      <lineEnding>unix</lineEnding>

#include "tensorflow/c/c_api_experimental.h"

#include "absl/strings/substitute.h"
#include "absl/synchronization/notification.h"
#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/checkpoint_reader.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_internal.h"
#include "tensorflow/c/eager/tfe_context_internal.h"

#include "tensorflow/c/c_api_experimental.h"

#include "absl/types/optional.h"
#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/c_test_util.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_test_util.h"
#include "tensorflow/core/lib/io/path.h"
#include "tensorflow/core/platform/env.h"