```Python
    first_name, last_name
```

zu:

```Python
    first_name: str, last_name: str
```

Das war's.

Das sind die „Typhinweise“:

```Python hl_lines="1"
{!../../../docs_src/python_types/tutorial002.py!}
```

Das ist nicht das gleiche wie das Deklarieren von Defaultwerten, wie es hier der Fall ist:

```Python
    first_name="john", last_name="doe"
```

Bạn gõ tham số đầu tiên của hàm, `first_name`, sau đó một dấu chấm (`.`) và sau đó ấn `Ctrl+Space` để kích hoạt bộ hoàn thành.

Nhưng đáng buồn, bạn không nhận được điều gì hữu ích cả:

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

### Thêm kiểu dữ liệu

Hãy sửa một dòng từ phiên bản trước.

Chúng ta sẽ thay đổi chính xác đoạn này, tham số của hàm, từ:

```Python
    first_name, last_name
```

sang:

You type the first parameter of the function, `first_name`, then a dot (`.`) and then hit `Ctrl+Space` to trigger the completion.

But, sadly, you get nothing useful:

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

### Add types

Let's modify a single line from the previous version.

We will change exactly this fragment, the parameters of the function, from:

```Python
    first_name, last_name
```

to:

```Python

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
    first_name, last_name
```

以下へ変更します:

```Python
    first_name: str, last_name: str
```

これだけです。

それが「型ヒント」です:

```Python
    first_name, last_name
```

থেকে এইগুলি:

```Python
    first_name: str, last_name: str
```

ব্যাস।

এগুলিই "টাইপ হিন্ট":

```Python hl_lines="1"
{!../../../docs_src/python_types/tutorial002.py!}
```

এটি ডিফল্ট ভ্যালু ঘোষণা করার মত নয় যেমন:

```Python
    first_name="john", last_name="doe"
```

এটি একটি ভিন্ন জিনিস।

  // when updating cluster with non-exsitent worker
  tensorflow::setenv("GRPC_FAIL_FAST", "TRUE", /*overwrite=*/1);

  const string first_name =
      keep_localhost_for_first_connect ? "localhost" : "abc";
  tensorflow::ServerDef server_def = GetServerDef(first_name, 1);

  TF_Status* status = TF_NewStatus();
  TFE_ContextOptions* opts = TFE_NewContextOptions();

⤴️, 👆 🔄 ⏮️ 🗝 👩‍💻 👨‍👧‍👦, 👨‍🎨 ✍.

👆 🆎 🥇 🔢 🔢, `first_name`, ⤴️ ❣ (`.`) & ⤴️ 🎯 `Ctrl+Space` ⏲ 🛠️.

✋️, 😞, 👆 🤚 🕳 ⚠:

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

### 🚮 🆎

➡️ 🔀 👁 ⏸ ⚪️➡️ ⏮️ ⏬.

👥 🔜 🔀 ⚫️❔ 👉 🧬, 🔢 🔢, ⚪️➡️:

```Python
    first_name, last_name
```

:

```Python
    first_name: str, last_name: str
```

👈 ⚫️.

👈 "🆎 🔑":

		{"p/", "url", "p/"},
		{"p/", "url", "p/"},
		{"~user", "url", "%7Euser"},
		{"*user", "url", "*user"},
		{"user+password", "url", "user%2Bpassword"},
		{"_user", "url", "_user"},
		{"firstname.lastname", "url", "firstname.lastname"},
	}
	for i, testCase := range testCases {
		t.Run(fmt.Sprintf("Test%d", i+1), func(t *testing.T) {
			outputText := s3EncodeName(testCase.inputText, testCase.encodingType)

 * ListMultimap<String, String> multimap = ArrayListMultimap.create();
 * for (President pres : US_PRESIDENTS_IN_ORDER) {
 *   multimap.put(pres.firstName(), pres.lastName());
 * }
 * for (String firstName : multimap.keySet()) {
 *   List<String> lastNames = multimap.get(firstName);
 *   out.println(firstName + ": " + lastNames);
 * }
 * }</pre>
 *
 * ... produces output such as:
 *
 * <pre>{@code
 * Zachary: [Taylor]

    # TODO: In that case, define if File() should support example/examples too
    # @app.post("/form_example")
    # def form_example(firstname: str = Form(example="John")):
    #     return firstname

    # @app.post("/form_examples")
    # def form_examples(
    #     lastname: str = Form(
    #         ...,
    #         examples={