```

型宣言の標準的なPythonの構文はこれだけです。

内部の型を持つモデルの属性にも同じ標準の構文を使用してください。

そのため、以下の例では`tags`を具体的な「文字列のリスト」にすることができます:

{* ../../docs_src/body_nested_models/tutorial002.py hl[14] *}

## セット型

しかし、よく考えてみると、タグは繰り返すべきではなく、おそらくユニークな文字列になるのではないかと気付いたとします。

そして、Pythonにはユニークな項目のセットのための特別なデータ型`set`があります。

そのため、以下のように、`Set`をインポートして`str`の`set`として`tags`を宣言することができます:

{* ../../docs_src/body_nested_models/tutorial003.py hl[1,14] *}

                final long lm = f.lastModified();

                if (lm > lastModified) {
                    lastModified = lm;
                    TAB.clear();
                    alt = 0;
                    populate(new FileReader(f));
                }
                result = (NbtAddress) TAB.get(name);
            }
        } catch (final FileNotFoundException fnfe) {
            if (LogStream.level > 1) {

readings[1] = new String[]{"search", "injin"};

String[] tags = new String[]{"technology", "search"};
String[] roles = new String[]{"admin", "user"};

SuggestItem item = new SuggestItem(
    new String[]{"Search Engine", "検索エンジン"}, // text variations
    readings,                                      // pronunciation readings
    1,                                            // boost score

        minioClient.setObjectTags(
                SetObjectTagsArgs.builder().bucket(bucketName).object("dir1/file2.txt").tags(Map.of("label", "label2")).build());
        minioClient.setObjectTags(
                SetObjectTagsArgs.builder().bucket(bucketName).object("dir1/dir2/file3.txt").tags(Map.of("label", "label3")).build());

# ==============================================================================
TFCI_INSTALLER_WHL_ENABLE=1
TFCI_INSTALLER_WHL_PROJECT_NAME="tensorflow_cpu"
TFCI_INSTALLER_WHL_NIGHTLY_PROJECT_NAME="tf_nightly_cpu"
# Supported wheel tags are stored as strings in TFCI_INSTALLER_WHL_TAGS
# separated by spaces.
TFCI_INSTALLER_WHL_TAGS="cp39-cp39-win_amd64 cp310-cp310-win_amd64 cp311-cp311-win_amd64 cp312-cp312-win_amd64"

     * @param fields The fields.
     * @param tags The tags.
     * @param roles The roles.
     * @param num The number.
     * @param langs The languages.
     * @return The SuggestIndexResponse.
     */
    public SuggestIndexResponse indexFromSearchWord(final String searchWord, final String[] fields, final String[] tags,
            final String[] roles, final int num, final String[] langs) {

		return
	}

	// Tags XML will not be bigger than 1MiB in size, fail if its bigger.
	tags, err := tags.ParseObjectXML(io.LimitReader(r.Body, 1<<20))
	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	// Set this such that authorization policies can be applied on the object tags.
	r.Header.Set(xhttp.AmzObjectTagging, tags.String())

}

// PutObjectTags - replace or add tags to an existing object
func (s *erasureSets) PutObjectTags(ctx context.Context, bucket, object string, tags string, opts ObjectOptions) (ObjectInfo, error) {
	er := s.getHashedSet(object)
	return er.PutObjectTags(ctx, bucket, object, tags, opts)
}

// DeleteObjectTags - delete object tags from an existing object

//// tab | Uvicorn

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 80

<span style="color: green;">INFO</span>:     Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
```

</div>

////

//// tab | Hypercorn

<div class="termy">

```console
$ hypercorn main:app --bind 0.0.0.0:80

			if !stringsHasPrefixFold(v.Name, "x-amz-meta") {
				meta["x-amz-meta-"+v.Name] = v.Value
				continue
			}
			meta[v.Name] = v.Value
		}
		if tags := rreq.OutputLocation.S3.Tagging.String(); tags != "" {
			meta[xhttp.AmzObjectTagging] = tags
		}
		if rreq.OutputLocation.S3.Encryption.EncryptionType != "" {
			meta[xhttp.AmzServerSideEncryption] = xhttp.AmzEncryptionAES
		}
		return ObjectOptions{