-   type: dropdown id: source attributes: label: Source description: Tensorflow
    installed from options: - source - binary validations: required: true

-   type: input id: tfversion attributes: label: Tensorflow Version description:
    placeholder: ex,. tf 2.8 validations: required: true

    int ERROR_NO_DATA = 232;
    /** No process is on the other end of the pipe */
    int ERROR_PIPE_NOT_CONNECTED = 233;
    /** More data is available */
    int ERROR_MORE_DATA = 234;
    /** The service is not installed */
    int ERROR_SERVICE_NOT_INSTALLED = 2184;
    /** The list of servers for this workgroup is not currently available */
    int ERROR_NO_BROWSER_SERVERS_FOUND = 6118;

    /** Array of Windows error codes */

      * 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.

## Ausführen { #run-it }

/// info | Info

Das Paket [`python-multipart`](https://github.com/Kludex/python-multipart) wird automatisch mit **FastAPI** installiert, wenn Sie den Befehl `pip install "fastapi[standard]"` ausführen.

Wenn Sie jedoch den Befehl `pip install fastapi` verwenden, ist das Paket `python-multipart` nicht standardmäßig enthalten.

## Instalar dependências { #install-dependencies }

Certifique-se de criar um [ambiente virtual](../virtual-environments.md), ativá-lo e instalar `jinja2`:

<div class="termy">

```console
$ pip install jinja2

---> 100%
```

</div>

## Usando `Jinja2Templates` { #using-jinja2templates }

Wenn Sie eine ältere FastAPI-App haben, nutzen Sie möglicherweise Pydantic Version 1.

FastAPI Version 0.100.0 unterstützte sowohl Pydantic v1 als auch v2. Es verwendete, was auch immer Sie installiert hatten.

FastAPI Version 0.119.0 führte eine teilweise Unterstützung für Pydantic v1 innerhalb von Pydantic v2 (als `pydantic.v1`) ein, um die Migration zu v2 zu erleichtern.

labels.plugin_name=Naam
labels.plugin_version=Versie
labels.plugin_delete=Verwijderen
labels.plugin_install=Installeren
labels.plugin_install_title=Plugin installeren
labels.plugin_jar_file=Jar-bestand
labels.plugin_local_install=Lokaal
labels.plugin_remote_install=Extern
labels.crud_button_install=Installeren
labels.storage_configuration=Opslag
labels.storage_name=Naam
labels.storage_size=Grootte

[discuss.codelibs.org](https://discuss.codelibs.org/c/FessEN/)

## Como Começar

Existem duas maneiras de testar o Fess. A primeira é baixar e instalar você mesmo. A segunda é usar [Docker](https://www.docker.com/products/docker-engine).

### Baixar e Instalar/Executar

    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

import javax.net.ssl.X509TrustManager
import okhttp3.Protocol
import org.conscrypt.Conscrypt
import org.conscrypt.ConscryptHostnameVerifier

/**
 * Platform using Conscrypt (conscrypt.org) if installed as the first Security Provider.
 *
 * Requires org.conscrypt:conscrypt-openjdk-uber >= 2.1.0 on the classpath.
 */
class ConscryptPlatform private constructor() : Platform() {