final MD4 md4 = new MD4();
            md4.update(password.getBytes(SmbConstants.UNI_ENCODING));
            HMACT64 hmac = new HMACT64(md4.digest());
            hmac.update(user.toUpperCase().getBytes(SmbConstants.UNI_ENCODING));
            hmac.update(domain.toUpperCase().getBytes(SmbConstants.UNI_ENCODING));
            hmac = new HMACT64(hmac.digest());
            hmac.update(challenge);
            hmac.update(clientChallenge);

            totalBytesWritten += byteCount
            progressListener.update(totalBytesWritten, contentLength(), completed)
          }

          override fun close() {
            super.close()
            if (!completed) {
              completed = true
              progressListener.update(totalBytesWritten, contentLength(), completed)
            }
          }
        }

				return nil
			}
		}
		opts := updateServiceAccountOpts{
			secretKey:     change.Update.SecretKey,
			status:        change.Update.Status,
			name:          change.Update.Name,
			description:   change.Update.Description,
			sessionPolicy: sp,
			expiration:    change.Update.Expiration,
		}

    schedule:
      interval: monthly
    ignore:
      - dependency-name: "*"
        update-types: ["version-update:semver-major", "version-update:semver-minor"]

  - package-ecosystem: docker
    directory: /tensorflow/tools/gcs_test
    schedule:
      interval: monthly

  - package-ecosystem: docker
    directory: /tensorflow/tools/tf_sig_build_dockerfiles
    schedule:
      interval: monthly

    protected byte[] engineDigest() {
        final byte[] digest = md5.digest();
        md5.update(opad);
        return md5.digest(digest);
    }

    @Override
    protected int engineDigest(final byte[] buf, final int offset, final int len) {
        final byte[] digest = md5.digest();
        md5.update(opad);
        md5.update(digest);
        try {
            return md5.digest(buf, offset, len);

        final byte[] digest = this.md5.digest();
        this.md5.update(this.opad);
        return this.md5.digest(digest);
    }

    @Override
    protected int engineDigest(final byte[] buf, final int offset, final int len) {
        final byte[] digest = this.md5.digest();
        this.md5.update(this.opad);
        this.md5.update(digest);
        try {
            return this.md5.digest(buf, offset, len);

 *   <li>{@link #createIndexIfNothing()}: Creates a new index if no index exists.</li>
 *   <li>{@link #createNextIndex()}: Creates a new index and replaces the current update alias with the new index.</li>
 *   <li>{@link #switchIndex()}: Switches the search alias to the current update index.</li>
 *   <li>{@link #removeDisableIndices()}: Removes disabled indices.</li>
 *   <li>{@link #indexer()}: Creates a new SuggestIndexer for indexing suggestions.</li>

これを使うことで、デフォルト値を省略して、設定された（リクエストで送られた）データのみを含む`dict`を生成することができます:

{* ../../docs_src/body_updates/tutorial002.py hl[34] *}

### Pydanticの`update`パラメータ

ここで、`.copy()`を用いて既存のモデルのコピーを作成し、`update`パラメータに更新するデータを含む`dict`を渡すことができます。

`stored_item_model.copy(update=update_data)`のように:

{* ../../docs_src/body_updates/tutorial002.py hl[35] *}

### 部分的更新のまとめ

まとめると、部分的な更新を適用するには、次のようにします:

        indexingHelper.deleteDocumentsByDocId(client, docList);
        assertEquals("fess.update", resultMap.get("index"));
        assertEquals(0, ((List<String>) resultMap.get("ids")).size());

        docList.add("001");
        indexingHelper.deleteDocumentsByDocId(client, docList);
        assertEquals("fess.update", resultMap.get("index"));
        assertEquals(1, ((List<String>) resultMap.get("ids")).size());

        final byte[] response = new byte[24];
        MessageDigest hmac = Crypto.getHMACT64(passwordHash);
        hmac.update(Strings.getUNIBytes(user.toUpperCase()));
        hmac.update(Strings.getUNIBytes(domain.toUpperCase()));
        hmac = Crypto.getHMACT64(hmac.digest());
        hmac.update(challenge);
        hmac.update(clientChallenge);
        hmac.digest(response, 0, 16);
        System.arraycopy(clientChallenge, 0, response, 16, 8);