しかし、そうすると「最初の文字を大文字に変換するあのメソッド」を呼び出す必要があります。

それは`upper`でしたか？`uppercase`でしたか？それとも`first_uppercase`？または`capitalize`？

そして、古くからプログラマーの友人であるエディタで自動補完を試してみます。

関数の最初のパラメータ`first_name`を入力し、ドット(`.`)を入力してから、`Ctrl+Space`を押すと補完が実行されます。

しかし、悲しいことに、これはなんの役にも立ちません:

<img src="https://fastapi.tiangolo.com/img/python-types/image01.png">

### 型の追加

先ほどのコードから一行変更してみましょう。

以下の関数のパラメータ部分を:

```Python

    Da der vorherige Schritt des Kopierens der Datei vom **Docker-Cache** erkannt werden konnte, wird dieser Schritt auch **den Docker-Cache verwenden**, sofern verfügbar.

    Durch die Verwendung des Caches in diesem Schritt **sparen** Sie viel **Zeit**, wenn Sie das Image während der Entwicklung immer wieder erstellen, anstatt **jedes Mal** alle Abhängigkeiten **herunterzuladen und zu installieren**.

5. Kopiere das Verzeichnis `./app` in das Verzeichnis `/code`.

		has := int64(len(buf))
		if has >= n {
			return nil
		}
		if hasFull || n > size {
			return io.ErrUnexpectedEOF
		}
		extra := n - has
		if int64(cap(buf)) >= n {
			// Extend since we have enough space.
			buf = buf[:n]
		} else {
			buf = append(buf, make([]byte, extra)...)
		}
		_, err := io.ReadFull(r, buf[has:])
		if err != nil {
			if errors.Is(err, io.EOF) {
				// Returned if we read nothing.

   *
   * <p>CharStreams.copy was failing to clear its CharBuffer after each read call, which effectively
   * reduced the available size of the buffer each time a call to read didn't fill up the available
   * space in the buffer completely. In general this is a performance problem since the buffer size
   * is permanently reduced, but with certain Reader implementations it could also cause the buffer
   * size to reach 0, causing an infinite loop.

   *
   * <p>CharStreams.copy was failing to clear its CharBuffer after each read call, which effectively
   * reduced the available size of the buffer each time a call to read didn't fill up the available
   * space in the buffer completely. In general this is a performance problem since the buffer size
   * is permanently reduced, but with certain Reader implementations it could also cause the buffer
   * size to reach 0, causing an infinite loop.

	return l.ctx
}

// Cancel function calls cancel() function
func (l LockContext) Cancel() {
	if l.cancel != nil {
		l.cancel()
	}
}

// newNSLock - return a new name space lock map.
func newNSLock(isDistErasure bool) *nsLockMap {
	nsMutex := nsLockMap{
		isDistErasure: isDistErasure,
	}
	if isDistErasure {
		return &nsMutex
	}
	nsMutex.lockMap = make(map[string]*nsLock)

# export TFCI=py311,linux_x86,no_docker

# Advanced: Use Remote Build Execution (RBE) (internal developers only)
#
#   RBE dramatically speeds up builds and testing. It also gives you a
#   public URL to share your build results with collaborators. However,
#   it is only available to a limited set of internal TensorFlow developers.
#
#   RBE is incompatible with local caching, so you must remove

                "          frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" \n" +
                "          referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen> \n" +
                "        </iframe> \n" +
                "    </div> \n" +
                "  </div> \n" +

# Spaces should fail
http://example\sexample.com

# This should fail
http://Goo%20\sgoo%7C|.com

# U+3000 is mapped to U+0020 (space) which is disallowed
http://GOO\u00a0\u3000goo.com

# Other types of space (no-break, zero-width, zero-width-no-break) are
# name-prepped away to nothing.
# U+200B, U+2060, and U+FEFF, are ignored
http://GOO\u200b\u2060\ufeffgoo.com  s:http p:/ h:googoo.com

Em seguida, tente com o velho amigo do programador, o preenchimento automático do editor.

Você digita o primeiro parâmetro da função, `first_name`, depois um ponto (`.`) e, em seguida, pressiona `Ctrl + Space` para acionar a conclusão.

Mas, infelizmente, você não obtém nada útil:

<img src="/img/python-types/image01.png">

### Adicionar tipos { #add-types }

Vamos modificar uma única linha da versão anterior.