cat >pythons.txt <<EOF
$VERSION
$VERSION-dev
$VERSION-venv
EOF
else
  cat >pythons.txt <<EOF
$VERSION
$VERSION-dev
$VERSION-venv
EOF
fi

if [[ ${VERSION} == "python3.14" ]]; then
  if [[ ! -d Python-3.14.0rc1 ]]; then
    apt update && apt install -y libssl-dev zlib1g-dev libbz2-dev libreadline-dev libncurses5-dev libffi-dev liblzma-dev
    wget https://www.python.org/ftp/python/3.14.0/Python-3.14.0rc1.tar.xz

#
# setup.python.sh: Install a specific Python version and packages for it.
# Usage: setup.python.sh <pyversion> <requirements.txt>
set -xe

source ~/.bashrc
VERSION=$1
REQUIREMENTS=$2

# Install Python packages for this container's version
if [[ ${VERSION} == "python3.13-nogil" || ${VERSION} == "python3.14-nogil" ]]; then
  cat >pythons.txt <<EOF
$VERSION
EOF

Das Resultat dieses Aufrufs ist etwas, das mit Pythons Standard-<a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a> kodiert werden kann.

Wenn wir es ausgeben:

```Python
print(user_dict)
```

bekommen wir ein Python-`dict`:

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

#### Ein `dict` entpacken

///

Dem `status_code`-Parameter wird eine Zahl mit dem HTTP-Statuscode übergeben.

/// info

Alternativ kann `status_code` auch ein `IntEnum` erhalten, so wie Pythons <a href="https://docs.python.org/3/library/http.html#http.HTTPStatus" class="external-link" target="_blank">`http.HTTPStatus`</a>.

///

Das wird:

* Diesen Statuscode mit der Response zurücksenden.

* Wenn Sie eine Python-Version kleiner als 3.9 verwenden, importieren Sie das Äquivalent zum entsprechenden Typ vom `typing`-Modul
* Überreichen Sie den/die inneren Typ(en) von eckigen Klammern umschlossen, `[` und `]`, als „Typ-Parameter“

In Python 3.9 wäre das:

```Python
my_list: list[str]
```

Und in Python-Versionen vor 3.9:

```Python
from typing import List

my_list: List[str]
```

따라서, 다음과 같이 Pydantic 객체 `user_in`을 생성할 수 있습니다:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

그 다음, 다음과 같이 호출합니다:

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

이제 변수 `user_dict`에 데이터가 포함된 `dict`를 가지게 됩니다(이는 Pydantic 모델 객체가 아닌 `dict`입니다).

그리고 다음과 같이 호출하면:

```Python
print(user_dict)
```

Python의 `dict`가 다음과 같이 출력됩니다:

```Python
{

Ancak, ne yazık ki, yararlı hiçbir şey elde edemediniz:

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

### Tipleri ekle

Önceki sürümden sadece bir satırı değiştirelim.

Tam olarak bu parçayı, işlevin parametrelerini  değiştireceğiz:

```Python
    first_name, last_name
```

ve bu hale getireceğiz:

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

Bu kadar.

# Setup Python
COPY setup.python.sh /setup.python.sh
COPY builder.requirements.txt /builder.requirements.txt
RUN /setup.python.sh python3.9 /builder.requirements.txt
RUN /setup.python.sh python3.10 /builder.requirements.txt
RUN /setup.python.sh python3.11 /builder.requirements.txt
RUN /setup.python.sh python3.13 /builder.requirements.txt
RUN /setup.python.sh python3.13-nogil /builder.requirements.txt

RUN /setup.python.sh python3.9 requirements.txt
RUN /setup.python.sh python3.10 requirements.txt
RUN /setup.python.sh python3.11 requirements.txt
RUN /setup.python.sh python3.12 requirements.txt
RUN /setup.python.sh python3.13 requirements.txt
# python3.13-nogil is a free-threaded build of python3.13.
RUN /setup.python.sh python3.13-nogil requirements.txt
RUN /setup.python.sh python3.14 requirements.txt