"type": "string",
                            "format": "date-time",
                        },
                        "end_datetime": {
                            "title": "End Datetime",
                            "type": "string",
                            "format": "date-time",
                        },
                        "repeat_at": IsDict(
                            {

Bạn viết chuẩn Python với kiểu dữ liệu như sau:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sau đó có thể được sử dụng:

```Python

### Docs for tests

Most of the tests actually run against the example source files in the documentation.

This helps to make sure that:

* The documentation is up-to-date.
* The documentation examples can be run as is.
* Most of the features are covered by the documentation, ensured by test coverage.

#### Apps and docs at the same time

If you run the examples with, e.g.:

                        "start_date": {
                            "type": "string",
                            "format": "date-time",
                            "title": "Start Date",
                        },
                    },
                    "type": "object",
                    "required": ["username", "monthly_fee", "start_date"],
                    "title": "Subscription",

                        "start_date": {
                            "type": "string",
                            "format": "date-time",
                            "title": "Start Date",
                        },
                    },
                    "type": "object",
                    "required": ["username", "monthly_fee", "start_date"],
                    "title": "Subscription",
                },

                            "type": "string",
                            "format": "date-time",
                        },
                        "end_datetime": {
                            "title": "End Datetime",
                            "type": "string",
                            "format": "date-time",
                        },
                        "repeat_at": IsDict(
                            {

    * リクエストとレスポンスでは`str`として表現されます。
* `datetime.datetime`:
    * Pythonの`datetime.datetime`です。
    * リクエストとレスポンスはISO 8601形式の`str`で表現されます: `2008-09-15T15:53:00+05:00`
* `datetime.date`:
    * Pythonの`datetime.date`です。
    * リクエストとレスポンスはISO 8601形式の`str`で表現されます: `2008-09-15`
* `datetime.time`:
    * Pythonの`datetime.time`.
    * リクエストとレスポンスはISO 8601形式の`str`で表現されます: `14:23:55.003`
* `datetime.timedelta`:

```Python
from typing import List, Dict
from datetime import date

from pydantic import BaseModel

# Deklarieren Sie eine Variable als ein `str`
# und bekommen Sie Editor-Unterstütung innerhalb der Funktion
def main(user_id: str):
    return user_id


# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

```Python

型を使用した標準的なPythonを記述します:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

これは以下のように用いられます:

```Python

* ♻️ Refactor computing FastAPI People, include 3 months, 6 months, 1 year, based on comment date, not discussion date. PR [#11304](https://github.com/tiangolo/fastapi/pull/11304) by [@tiangolo](https://github.com/tiangolo).