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

Vervolgens kan je het op deze manier gebruiken:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

///

## Động lực

Hãy bắt đầu với một ví dụ đơn giản:

```Python
{!../../docs_src/python_types/tutorial001.py!}
```

Kết quả khi gọi chương trình này:

```
John Doe
```

Hàm thực hiện như sau:

* Lấy một `first_name` và `last_name`.
* Chuyển đổi kí tự đầu tiên của mỗi biến sang kiểu chữ hoa với `title()`.

-}} {{- $statements_length := sub $statements_length 1 -}} { "Version": "2012-10-17", "Statement": [ {{- range $i, $statement := .statements }} { "Effect": "Allow", "Action": [ "{{ $statement.actions | join "\",\n\"" }}" ]{{ if $statement.resources }}, "Resource": [ "{{ $statement.resources | join "\",\n\"" }}" ]{{ end }} }{{ if lt $i $statements_length }},{{end }} {{- end }} ] } minio/templates/_helpers.tpl {{/* vim: set filetype=mustache: */}} {{/* Expand the name of the chart. */}} {{- define...

## Motivatie

Laten we beginnen met een eenvoudig voorbeeld:

```Python
{!../../docs_src/python_types/tutorial001.py!}
```

Het aanroepen van dit programma leidt tot het volgende resultaat:

```
John Doe
```

De functie voert het volgende uit:

* Neem een `first_name` en een `last_name`
* Converteer de eerste letter van elk naar een hoofdletter met `title()`.
``

   * For example, {@code join("-", '1', '2', '3')} returns the string {@code "1-2-3"}.
   *
   * @param separator the text that should appear between consecutive values in the resulting string
   *     (but not at the start or end)
   * @param array an array of {@code char} values, possibly empty
   */
  public static String join(String separator, char... array) {
    checkNotNull(separator);

Now use the operation `GET` with the path `/users/me`.

You will get your user's data, like:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false,
  "hashed_password": "fakehashedsecret"
}
```

<img src="/img/tutorial/security/image06.png">

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

که سپس میتوان به این شکل از آن استفاده کرد:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

Verwenden Sie nun die Operation `GET` mit dem Pfad `/users/me`.

Sie erhalten Ihre Benutzerdaten:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false,
  "hashed_password": "fakehashedsecret"
}
```

<img src="/img/tutorial/security/image06.png">

func (m *ftpMetrics) log(s *ftp.Context, paths ...string) func(sz int64, err error) {
	startTime := time.Now()
	source := getSource(2)
	return func(sz int64, err error) {
		globalTrace.Publish(ftpTrace(s, startTime, source, strings.Join(paths, " "), err, sz))
	}
}

// Stat implements ftpDriver
func (driver *ftpDriver) Stat(ctx *ftp.Context, objPath string) (fi os.FileInfo, err error) {
	stopFn := globalFtpMetrics.log(ctx, objPath)

ls build_output
```

## Contribution & Maintenance

The TensorFlow team does not yet have guidelines in place for contributing to
this directory. We are working on it. Please join a TF SIG Build meeting (see:
bit.ly/tf-sig-build-notes) if you'd like to discuss the future of contributions.

### Brief System Overview

The top-level scripts and utility scripts should be fairly well-documented. Here