<plugin>
            <groupId>org.apache.maven.plugins</groupId>
            <artifactId>maven-clean-plugin</artifactId>
            <executions>
              <execution>
                <id>clean-target-dir</id>
                <goals>
                  <goal>clean</goal>
                </goals>
                <phase>prepare-package</phase>
                <configuration>

```Python hl_lines="21  26"
{!../../docs_src/metadata/tutorial004.py!}
```

/// info | "情報"

タグのより詳しい説明を知りたい場合は [Path Operation Configuration](path-operation-configuration.md#tags){.internal-link target=_blank} を参照して下さい。

///

### ドキュメントの確認

ここで、ドキュメントを確認すると、追加したメタデータがすべて表示されます:

<img src="/img/tutorial/metadata/image02.png">

### タグの順番

タグのメタデータ辞書の順序は、ドキュメントUIに表示される順序の定義にもなります。

                }
            }
    }

    /**
     * Zip a list of files with same root directory to a zip file.
     *
     * @param destZip the target zip file
     * @param srcFiles the mapping of relative path to the file
     */
    private
    fun zip(destZip: File, srcFiles: List<Pair<String, File>>) {
        if (srcFiles.isEmpty()) {
            return

    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],
)
```

/// 정보

`**user_dict`에 대한 자세한 설명은 [**추가 모델** 문서](../extra-models.md#about-user_indict){.internal-link target=_blank}를 다시 읽어봅시다.

///

## 토큰 반환하기

`token` 엔드포인트의 응답은 JSON 객체여야 합니다.

`token_type`이 있어야 합니다. 여기서는 "Bearer" 토큰을 사용하므로 토큰 유형은 "`bearer`"여야 합니다.

그리고 액세스 토큰을 포함하는 문자열과 함께 `access_token`이 있어야 합니다.

    }

    private static void createJob() {
        final Map<String, Object> requestBody = new HashMap<>();
        requestBody.put("name", NAME_PREFIX + "Scheduler");
        requestBody.put("target", "all");
        requestBody.put("script_type", "groovy");
        requestBody.put("sort_order", 0);
        requestBody.put("crawler", true);
        requestBody.put("job_logging", true);

      for (int index : indexes) {
        builder.put(index, singleQuantile(index, scale, dataset));
      }
      return builder.buildOrThrow();
    }
  },

  /** Uses {@link Quantiles}. */
  TARGET {

    @Override
    double singleQuantile(int index, int scale, double[] dataset) {
      return Quantiles.scale(scale).index(index).computeInPlace(dataset);
    }

    @Override

Com `Query`, `Path` (e outras que você ainda não viu) você pode declarar metadados e validações de texto do mesmo modo que com [Parâmetros de consulta e validações de texto](query-params-str-validations.md){.internal-link target=_blank}.

E você também pode declarar validações numéricas:

* `gt`: maior que (`g`reater `t`han)
* `ge`: maior que ou igual (`g`reater than or `e`qual)
* `lt`: menor que (`l`ess `t`han)

fi
set -x

# When cross-compiling with RBE, we need to copy the macOS sysroot to be
# inside the TensorFlow root directory. We then define them as a filegroup
# target inside "tensorflow/tools/toolchains/cross_compile/cc" so that Bazel
# can register it as an input to compile/link actions and send it to the remote
# VMs when needed.

   */
  @Target(ElementType.METHOD)
  @Retention(RetentionPolicy.RUNTIME)
  private @interface Generates {}

  /**
   * Annotates a method to generate the "empty" instance of a collection. This method should accept
   * no parameter. The value it generates should be unequal to the values generated by methods
   * annotated with {@link Generates}.
   */
  @Target(ElementType.METHOD)

  //
  // Network properties
  //

  /**
   * Returns true if the edges in this network are directed. Directed edges connect a {@link
   * EndpointPair#source() source node} to a {@link EndpointPair#target() target node}, while
   * undirected edges connect a pair of nodes to each other.
   */
  boolean isDirected();

  /**
   * Returns true if this network allows parallel edges. Attempting to add a parallel edge to a