*   For TensorFlow versions prior v.2.18.0: Add CUDA paths to
        LD_LIBRARY_PATH and add the `cuda` option flag.

        ```bash
        export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH"
        export flags="--config=linux --config=cuda -k"
        ```

    For example, to run all tests under tensorflow/python, do:

    ```bash

        return getRemoteRepositories();
    }

    protected ArtifactRepository getLocalRepository() throws InvalidRepositoryException {
        File repoDir = new File(getBasedir(), "target/local-repo").getAbsoluteFile();

        return mavenRepositorySystem.createLocalRepository(repoDir);
    }

    protected class ProjectBuilder {
        private MavenProject project;

// decisions based on this information. For example, Veeam Backup & Replication has a Scale-out-Backup-Repository feature where
// multiple buckets can be used together. The placement logic for additional backup files is based on available space. Other values
// will augment the Veeam user interface and statistics, including free space warnings.
type capacityInfo struct {

# directories.
mkdir -p "/${TARGET}/usr/include/x86_64-linux-gnu"
PYTHON_VERSIONS=("python3.9" "python3.10" "python3.11" "python3.12")
for v in "${PYTHON_VERSIONS[@]}"; do
  ln -s "/usr/local/include/${v}" "/${TARGET}/usr/include/x86_64-linux-gnu/${v}"
done

# Patch glibc to be compatable with modern clang
case "${VERSION}" in
devtoolset-9)
  cd /
  patch -p0 < /glibc2.17-inline.patch
;;

	pathutil "path"
	"runtime"
	"sort"
	"strings"
	"sync"
	"time"

	"github.com/minio/minio/internal/dsync"
	"github.com/minio/minio/internal/logger"
	"github.com/minio/minio/internal/lsync"
)

// local lock servers
var globalLockServer *localLocker

// RWLocker - locker interface to introduce GetRLock, RUnlock.
type RWLocker interface {

Ahora, veamos el módulo en `app/main.py`.

Aquí es donde importas y usas la clase `FastAPI`.

Este será el archivo principal en tu aplicación que conecta todo.

Y como la mayor parte de tu lógica ahora vivirá en su propio módulo específico, el archivo principal será bastante simple.

### Importar `FastAPI` { #import-fastapi }

Importas y creas una clase `FastAPI` como de costumbre.

Agora, vamos ver o módulo em `app/main.py`.

Aqui é onde você importa e usa a classe `FastAPI`.

Este será o arquivo principal em seu aplicativo que une tudo.

E como a maior parte de sua lógica agora viverá em seu próprio módulo específico, o arquivo principal será bem simples.

### Importe o `FastAPI` { #import-fastapi }

Você importa e cria uma classe `FastAPI` normalmente.

					peersLogOnceIf(ctx, err, client.host.String())
				}
			}
			return nil
		}, i, *client.host)
	}
	ng.Wait()
	if ctx.Err() != nil {
		return false
	}

	// Local host
	thisAddr, err := xnet.ParseHost(globalLocalNodeName)
	if err != nil {
		bugLogIf(ctx, err)
		return profilingDataFound
	}

	data, err := getProfileData()
	if err != nil {

This was changed in FastAPI 0.106.0 with the intention to not hold resources while waiting for the response to travel through the network.

/// tip

Additionally, a background task is normally an independent set of logic that should be handled separately, with its own resources (e.g. its own database connection).

So, this way you will probably have cleaner code.

///

export MINIO_ROOT_PASSWORD=<SECRET_KEY>
minio server http://host{1...n}/export{1...m}
```

> **NOTE:** In above example `n` and `m` represent positive integers, _do not copy paste and expect it work make the changes according to local deployment and setup_.