--with-default-libstdcxx-abi=${LIBSTDCXX_ABI} \
      --with-gcc-major-version-only \
      --with-linker-hash-style="gnu" \
      --with-tune="generic" \
      && \
    make -j 42 && \
    make install


# Create the devtoolset libstdc++ linkerscript that links dynamically against
# the system libstdc++ 4.4 and provides all other symbols statically.
case "${VERSION}" in
devtoolset-7)

# FastAPI CLI

**FastAPI CLI** 是一个命令行程序，你可以用它来部署和运行你的 FastAPI 应用程序，管理你的 FastAPI 项目，等等。

当你安装 FastAPI 时（例如使用 `pip install FastAPI` 命令），会包含一个名为 `fastapi-cli` 的软件包，该软件包在终端中提供 `fastapi` 命令。

要在开发环境中运行你的 FastAPI 应用，你可以使用 `fastapi dev` 命令：

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:solid">main.py</u>

  labels:
    app: {{ template "minio.name" . }}-post-job
    chart: {{ template "minio.chart" . }}
    release: {{ .Release.Name }}
    heritage: {{ .Release.Service }}
  annotations:
    "helm.sh/hook": post-install,post-upgrade
    "helm.sh/hook-delete-policy": hook-succeeded,before-hook-creation
    {{- with .Values.postJob.annotations }}
      {{- toYaml . | nindent 4 }}
    {{- end }}
spec:
  template:
    metadata:

    $ unzip fess-15.3.x.zip
    $ cd fess-15.3.x
    $ ./bin/fess

Para más detalles, consulta la [Guía de Instalación](https://fess.codelibs.org/15.3/install/index.html).

### Docker

Stellen Sie sicher, dass Sie eine [virtuelle Umgebung](../virtual-environments.md){.internal-link target=_blank} erstellen, sie aktivieren und es dann installieren, zum Beispiel:

```console
$ pip install email-validator
```

oder mit:

```console
$ pip install "pydantic[email]"
```

///

Wir verwenden dieses Modell, um sowohl unsere Eingabe- als auch Ausgabedaten zu deklarieren:

## Установка `SQLModel` { #install-sqlmodel }

Сначала убедитесь, что вы создали [виртуальное окружение](../virtual-environments.md){.internal-link target=_blank}, активировали его и затем установили `sqlmodel`:

<div class="termy">

```console
$ pip install sqlmodel
---> 100%
```

</div>

labels.plugin_type=Type
labels.plugin_name=Name
labels.plugin_version=Version
labels.plugin_delete=Delete
labels.plugin_install=Install
labels.plugin_install_title=Install Plugin
labels.plugin_jar_file=Jar File
labels.plugin_local_install=Local
labels.plugin_remote_install=Remote
labels.crud_button_install=Install
labels.storage_configuration=Storage
labels.storage_name=Name
labels.storage_size=Size

/// info | Info

Dazu muss `orjson` installiert werden, z. B. mit `pip install orjson`.

///

### `UJSONResponse` { #ujsonresponse }

Eine alternative JSON-Response mit <a href="https://github.com/ultrajson/ultrajson" class="external-link" target="_blank">`ujson`</a>.

/// info | Info

Dazu muss `ujson` installiert werden, z. B. mit `pip install ujson`.

///

/// warning | Achtung

/// info | Información

Para recibir archivos subidos, primero instala <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

Asegúrate de crear un [entorno virtual](../virtual-environments.md){.internal-link target=_blank}, activarlo y luego instalarlo, por ejemplo:

```console
$ pip install python-multipart
```

Pydantic v2 includes everything from Pydantic v1 as a submodule `pydantic.v1`. But this is no longer supported in versions above Python 3.13.

This means that you can install the latest version of Pydantic v2 and import and use the old Pydantic v1 components from this submodule, as if you had the old Pydantic v1 installed.

{* ../../docs_src/pydantic_v1_in_v2/tutorial001_an_py310.py hl[1,4] *}