if (toRet != null) {
            return toRet.toAbsolutePath().toString();
        }
        return null;
    }

    private static Path findTool(String toolName, Path installDir) {
        Path bin = installDir.resolve("bin"); // NOI18N
        if (Files.isDirectory(bin)) {
            if (Os.IS_WINDOWS) {
                Path tool = bin.resolve(toolName + ".exe");
                if (Files.exists(tool)) {

### Instalando `pydantic-settings`

Primeiro, instale o pacote `pydantic-settings`:

<div class="termy">

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

</div>

Ele também está incluído no fastapi quando você instala com a opção `all`:

<div class="termy">

```console
$ pip install "fastapi[all]"
---> 100%
```

</div>

/// info

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

## Instalar `WebSockets`

Asegúrate de crear un [entorno virtual](../virtual-environments.md){.internal-link target=_blank}, activarlo e instalar `websockets`:

<div class="termy">

```console
$ pip install websockets

---> 100%
```

</div>

## Cliente WebSockets

### En producción

    ```bash
    python tf_doctest.py --file=<file_path>
    ```

    This will run it using your installed version of TensorFlow. To be sure
    you're running the same code that you're testing:

    *   Use an up to date [tf-nightly](https://pypi.org/project/tf-nightly/)
        `pip install -U tf-nightly`
    *   Rebase your pull request onto a recent pull from

if neither you nor any third party retains the ability to install
modified object code on the User Product (for example, the work has
been installed in ROM).

  The requirement to provide Installation Information does not include a
requirement to continue to provide support service, warranty, or updates
for a work that has been modified or installed by the recipient, or for

# Packages to be installed for the new Docker image.

# Packages needed to build devtoolset
file
flex
g++
make
patch
rpm2cpio
unar
wget
xz-utils
cpio

# Other build-related tools
apt-transport-https
autoconf
automake
build-essential
ca-certificates
llvm-18
clang-18
clang-tidy-18
lld-18
clang-format-12
curl
git
parallel
sudo
swig
unzip
zip
openjdk-21-jdk
vim

```
fastapi>=0.68.0,<0.69.0
pydantic>=1.8.0,<2.0.0
uvicorn>=0.15.0,<0.16.0
```

&amp; 👆 🔜 🛎 ❎ 👈 📦 🔗 ⏮️ `pip`, 🖼:

<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%
Successfully installed fastapi pydantic uvicorn
```

</div>

/// info

📤 🎏 📁 &amp; 🧰 🔬 &amp; ❎ 📦 🔗.

👤 🔜 🎦 👆 🖼 ⚙️ 🎶 ⏪ 📄 🔛. 👶

///

### ✍ **FastAPI** 📟

Installieren Sie zunächst das Package `pydantic-settings`:

<div class="termy">

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

</div>

Es ist bereits enthalten, wenn Sie die `all`-Extras installiert haben, mit:

<div class="termy">

```console
$ pip install "fastapi[all]"
---> 100%
```

</div>

/// info

Para usar `EmailStr`, primeiro instale <a href="https://github.com/JoshData/python-email-validator" class="external-link" target="_blank">`email-validator`</a>.

Certifique-se de criar um [ambiente virtual](../virtual-environments.md){.internal-link target=_blank}, ative-o e instale-o, por exemplo:

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

ou com:

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

///