echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository for nightly (skipped for releases)

  // Execute.
  TF_ExecuteOperation(op, 2, inputs, o, status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  // Clean up operation and inputs.
  TF_DeleteAbstractOp(op);
  TF_DeleteAbstractTensor(at);

  // Verify the results.
  ASSERT_EQ(1, TF_OutputListNumOutputs(o));
  TF_AbstractTensor* result = TF_OutputListGet(o, 0);

Puedes usar **modelos de Pydantic** para declarar **campos de formulario** en FastAPI.

/// info | Información

Para usar formularios, primero instala [`python-multipart`](https://github.com/Kludex/python-multipart).

Asegúrate de crear un [entorno virtual](../virtual-environments.md), activarlo, y luego instalarlo, por ejemplo:

```console
$ pip install python-multipart
```

///

/// note | Nota

        assertTaskSuccessful(result, ":check");
    }

    public void testLicenseAndNotice() throws IOException {
        BuildResult result = getGradleRunner().withArguments("clean", "assemble").build();
        assertTaskSuccessful(result, ":assemble");
        assertBuildFileExists(result, projectName(), "distributions/elasticsearch.build.jar");

    @BeforeAll
    protected static void initAll() {
        RestAssured.baseURI = getFessUrl();
        settingTestToken();
    }

    @AfterAll
    protected static void tearDownAll() {
        // Clean up test documents
        final Map<String, Object> searchBody = new HashMap<>();
        searchBody.put("size", 1000);
        searchBody.put("q", NAME_PREFIX + "*");

        val steps = startReleaseCycle.steps.items
        assertEquals(1, steps.size)

        val step = gradleStep(steps, 0)
        step.assertTasks("clean promoteStartReleaseCycle")
        assertEquals(

        final FessConfig fessConfig = ComponentUtil.getFessConfig();

        final StringBuilder resultBuf = new StringBuilder();

        // clean up
        final QueryBuilder queryBuilder = QueryBuilders.rangeQuery(fessConfig.getIndexFieldExpires()).to("now");
        try {
            searchEngineClient.deleteByQuery(fessConfig.getIndexDocumentUpdateIndex(), queryBuilder);

Refer to the Javadoc for full API details.

## Building and Testing

```bash
git clone https://github.com/codelibs/curl4j.git
cd curl4j
mvn clean test
```

## License

# Modelos de Parámetros Query { #query-parameter-models }

Si tienes un grupo de **parámetros query** que están relacionados, puedes crear un **modelo de Pydantic** para declararlos.

Esto te permitiría **reutilizar el modelo** en **múltiples lugares** y también declarar validaciones y metadatos para todos los parámetros de una vez. 😎

/// note | Nota

Esto es compatible desde la versión `0.115.0` de FastAPI. 🤓

///

          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository for nightly (skipped for releases)