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

* Each application that you have running on your computer has some process behind it, each running program, each window, etc. And there are normally many processes running **at the same time** while a computer is on.
* There can be **multiple processes** of the **same program** running at the same time.

If you check out the "task manager" or "system monitor" (or similar tools) in your operating system, you will be able to see many of those processes running.

from datetime import datetime, time, timedelta
from typing import Union
from uuid import UUID

from fastapi import Body, FastAPI

app = FastAPI()


@app.put("/items/{item_id}")
async def read_items(
    item_id: UUID,
    start_datetime: datetime = Body(),
    end_datetime: datetime = Body(),
    process_after: timedelta = Body(),
    repeat_at: Union[time, None] = Body(default=None),
):

            if author_time > one_month_ago:
                last_month_commenters[author_name] += 1
            if author_time > three_months_ago:
                three_months_commenters[author_name] += 1
            if author_time > six_months_ago:
                six_months_commenters[author_name] += 1
            if author_time > one_year_ago:
                one_year_commenters[author_name] += 1

    # Avoid race conditions with multiple labels
    sleep_time = random.random() * 10  # random number between 0 and 10 seconds
    logging.info(
        f"Sleeping for {sleep_time} seconds to avoid "
        "race conditions and multiple comments"
    )
    time.sleep(sleep_time)

    # Get PR
    logging.debug(f"Processing PR: #{github_event.pull_request.number}")

    * 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の`datetime.timedelta`です。
    * リクエストとレスポンスでは合計秒数の`float`で表現されます。

{% endfor %}

</div>
{% endif %}

### FastAPI Experts - All Time

Here are the all time **FastAPI Experts**. 🤓🤯

These are the users that have [helped others the most with questions in GitHub](help-fastapi.md#help-others-with-questions-in-github){.internal-link target=_blank} through *all time*. 🧙

{% if people %}
<div class="user-list user-list-center">
{% for user in people.experts[:50] %}

{!../../../docs_src/custom_request_and_route/tutorial003.py!}
```

In this example, the *path operations* under the `router` will use the custom `TimedRoute` class, and will have an extra `X-Response-Time` header in the response with the time it took to generate the response:

```Python hl_lines="13-20"
{!../../../docs_src/custom_request_and_route/tutorial003.py!}

    And your users would be able to login from your Django app or from your **FastAPI** app, at the same time.

## Hash and verify the passwords

Import the tools we need from `passlib`.

Create a PassLib "context". This is what will be used to hash and verify passwords.

!!! tip

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