Si no quieres tener esas dependencias opcionales, en su lugar puedes instalar `pip install fastapi`.

<div class="termy">

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

</div>

/// info | Informação

Há outros formatos e ferramentas para definir e instalar dependências de pacotes.

///

### Crie o código do **FastAPI** { #create-the-fastapi-code }

Embedding a Java runtime in the distribution would provide some benefits, such as allowing the Launcher, Daemon and Workers to run on it, removing the prerequisite of an installed Java runtime.
However, this does not fully remove the prerequisite, as the Wrapper itself would still need an installed Java runtime to execute.

Gradle needs a solution that covers the use-case of starting the Wrapper itself as well given its importance.

__init__() {
	if which curl &>/dev/null; then
		echo "curl is already installed"
	else
		echo "Installing curl:"
		sudo apt install curl -y
	fi

	export GOPATH=/tmp/gopath
	export PATH="${PATH}":"${GOPATH}"/bin

	if which mc &>/dev/null; then
		echo "mc is already installed"
	else
		echo "Installing mc:"
		go install github.com/minio/mc@latest
	fi

	if [ ! -x ./minio.${OLD_VERSION} ]; then

      * 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.

- Chroot installed on your machine.

## 2. Install MinIO in Chroot

> **Note:** MinIO community edition is now distributed as source code only. Pre-compiled binaries are no longer provided for new releases.

Build MinIO from source and install it in the chroot directory:

```sh
# Build MinIO from source
go install github.com/minio/minio@latest

    ```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

    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

## 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){.internal-link target=_blank}, activarlo y luego instalar `pyjwt`:

<div class="termy">

```console
$ pip install pyjwt

---> 100%
```

</div>

Se você não deseja incluir as dependências opcionais `standard`, você pode instalar utilizando `pip install fastapi` ao invés de `pip install "fastapi[standard]"`.

### Sem o `fastapi-cloud-cli` { #without-fastapi-cloud-cli }

Se você quiser instalar o FastAPI com as dependências padrão, mas sem o `fastapi-cloud-cli`, você pode instalar com `pip install "fastapi[standard-no-fastapi-cloud-cli]"`.