### Instalar `pydantic-settings` { #install-pydantic-settings }

Primeiro, certifique-se de criar seu [ambiente virtual](../virtual-environments.md), ativá-lo e então instalar o pacote `pydantic-settings`:

<div class="termy">

```console
$ pip install pydantic-settings
---> 100%
```

</div>

Ele também vem incluído quando você instala os extras `all` com:

<div class="termy">

# specific language governing permissions and limitations
# under the License.

name: Stale

on:
  schedule:
    - cron: '29 3 * * *'
  issue_comment:
    types: [ 'created' ]

jobs:
  stale:

## Instalar `PyJWT` { #install-pyjwt }

Necesitamos instalar `PyJWT` para generar y verificar los tokens JWT en Python.

Asegúrate de crear un [entorno virtual](../../virtual-environments.md), activarlo y luego instalar `pyjwt`:

<div class="termy">

```console
$ pip install pyjwt

---> 100%
```

</div>

/// info | Información

      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

# Number of days of inactivity before an Issue or Pull Request becomes stale
daysUntilStale: 30

# Number of days of inactivity before an Issue or Pull Request with the stale label is closed.
# Set to false to disable. If disabled, issues still need to be closed manually, but will remain marked as stale.
daysUntilClose: 15

.vagrant
network_closure.sh

# Local cluster env variables
/cluster/env.sh

# Compiled binaries in third_party
/third_party/pkg

# Also ignore etcd installed by hack/install-etcd.sh
/third_party/etcd*
/default.etcd

# Also ignore protoc installed by hack/install-protoc.sh
/third_party/protoc*

# User cluster configs
.kubeconfig

.tags*

# Version file for dockerized build
.dockerized-kube-version-defs

## Instalar `PyJWT` { #install-pyjwt }

Nós precisamos instalar o `PyJWT` para criar e verificar os tokens JWT em Python.

Certifique-se de criar um [ambiente virtual](../../virtual-environments.md), ativá-lo e então instalar o `pyjwt`:

<div class="termy">

```console
$ pip install pyjwt

---> 100%
```

</div>

/// info | Informação

/// info | Información

Para recibir archivos subidos y/o form data, primero instala [`python-multipart`](https://github.com/Kludex/python-multipart).

Asegúrate de crear un [entorno virtual](../virtual-environments.md), actívalo y luego instálalo, por ejemplo:

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

///

## Importa `File` y `Form` { #import-file-and-form }

## Utiliser `WSGIMiddleware` { #using-wsgimiddleware }

/// info

Cela nécessite l'installation de `a2wsgi`, par exemple avec `pip install a2wsgi`.

///

Vous devez importer `WSGIMiddleware` depuis `a2wsgi`.

Ensuite, enveloppez l'application WSGI (par ex. Flask) avec le middleware.

Puis, montez-la sous un chemin.

    tar zxf - google-cloud-sdk && \
    google-cloud-sdk/install.sh --quiet && \
    ln -s /google-cloud-sdk/bin/gcloud /usr/bin/gcloud
ENV PATH="$PATH:/google-cloud-sdk/bin/:/usr/local/cuda/bin/"

# Download and install patchelf v0.18.0 from GitHub. The default Ubuntu focal
# packages only provide the "0.10-2build1" version. We use patchelf to manipulate