test-root-disable: install-race
	@echo "Running minio root lockdown tests"
	@env bash $(PWD)/buildscripts/disable-root.sh

test-ilm: install-race
	@echo "Running ILM tests"
	@env bash $(PWD)/docs/bucket/replication/setup_ilm_expiry_replication.sh

test-ilm-transition: install-race
	@echo "Running ILM tiering tests with healing"

```gitignore
*
```

///

## Instala Paquetes { #install-packages }

Después de activar el entorno, puedes instalar paquetes en él.

/// tip | Consejo

Haz esto **una vez** al instalar o actualizar los paquetes que necesita tu proyecto.

Si necesitas actualizar una versión o agregar un nuevo paquete, **harías esto de nuevo**.

///

### Instala Paquetes Directamente { #install-packages-directly }

Cuando instalas con `pip install "fastapi[standard]"` viene con algunas dependencias opcionales estándar por defecto, incluyendo `fastapi-cloud-cli`, que te permite hacer deploy a <a href="https://fastapicloud.com" class="external-link" target="_blank">FastAPI Cloud</a>.

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

```
trustedCertsSecret: "minio-trusted-certs"

or

--set trustedCertsSecret=minio-trusted-certs
```

### Create buckets after install

Install the chart, specifying the buckets you want to create after install:

```bash
helm install --set buckets[0].name=bucket1,buckets[0].policy=none,buckets[0].purge=false minio/minio
```

Description of the configuration parameters used above -

## Instale o Programa Servidor { #install-the-server-program }

Quando você instala o FastAPI, ele vem com um servidor de produção, o Uvicorn, e você pode iniciá-lo com o comando `fastapi run`.

Mas você também pode instalar um servidor ASGI manualmente.

     * @throws IllegalArgumentException in case {@code request} is {@code null}
     */
    void install(@Nonnull ArtifactInstallerRequest request);

    /**
     * @param session the repository session
     * @param artifact the {@link ProducedArtifact} to install
     * @throws ArtifactInstallerException in case of an error which can be a given artifact cannot be found or the

If you don't want to have those optional dependencies, you can instead install `pip install fastapi`.

	<property name="opensearch.version" value="3.4.0" />

	<target name="install.modules">
		<mkdir dir="${target.dir}" />
		<delete dir="${modules.dir}" />
		<mkdir dir="${modules.dir}" />

		<!-- analysis-common -->
		<antcall target="install.module">
			<param name="repo.url" value="${maven.release.repo.url}" />

      * 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.

    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