*/
class CipherSuiteSurvey(
  val clients: List<Client>,
  val ianaSuites: IanaSuites,
  val orderBy: List<SuiteId>,
) {
  fun printGoogleSheet() {
    print("name")
    for (client in clients) {
      print("\t")
      print(client.nameAndVersion)
    }
    println()
    val sortedSuites =
      ianaSuites.suites.sortedBy { ianaSuite ->
        val index = orderBy.indexOfFirst { it.matches(ianaSuite) }

{{- range $dep, $replace := $failDeps }}
{{- /* Complex logic to turn the string above into a null-safe traversal like ((.Values.global).certificates */}}
{{- $res := tpl (print "{{" (repeat (split "." $dep | len) "(")  ".Values." (replace "." ")." $dep) ")}}") $}}
{{- if not (eq $res "")}}
{{fail (print $dep " is removed")}}
{{- end }}

** Control over downloads

  Find the control point for m2 using maven-wagon. At this point, inject
  a offline status parameter which is used when retrieving the specific Wagon.

  If <<<offline == true>>>:

  * If the wagon is not bound to "file://", then ignore the request and print
    a debug message.

  * If the wagon is bound to "file://" then:

            append("@")

            if (classId != null) {
                append("R|")
                renderFqName(classId.asSingleFqName(), printer)
                append("|")
            } else {
                print("<ERROR TYPE REF>")
            }

            printCollection(namedValues, separator = ", ", prefix = "(", postfix = ")") { argument ->
                append(argument.name.render())
                append(" = ")

e depois chamarmos:

```Python
user_dict = user_in.dict()
```

agora temos um `dict` com os dados na variável `user_dict` (é um `dict` em vez de um objeto de modelo Pydantic).

E se chamarmos:

```Python
print(user_dict)
```

teríamos um `dict` Python com:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

```Python
user_dict = user_in.dict()
```

то теперь у нас есть `dict` с данными модели в переменной `user_dict` (это `dict` вместо объекта Pydantic-модели).

И если мы вызовем:

```Python
print(user_dict)
```

мы можем получить `dict` с такими данными:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

and then we call:

```Python
user_dict = user_in.dict()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python
print(user_dict)
```

we would get a Python `dict` with:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

```Python hl_lines="2-5  15  21"
{!../../../docs_src/handling_errors/tutorial006.py!}
```

```

& ⤴️ 👥 🤙:

```Python
user_dict = user_in.dict()
```

👥 🔜 ✔️ `dict` ⏮️ 💽 🔢 `user_dict` (⚫️ `dict` ↩️ Pydantic 🏷 🎚).

& 🚥 👥 🤙:

```Python
print(user_dict)
```

👥 🔜 🤚 🐍 `dict` ⏮️:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### 🎁 `dict`

```Python hl_lines="2-5  15  21"
{!../../../docs_src/handling_errors/tutorial006.py!}
```