an older version you must use an `S3 API client` such as [`mc`](https://github.com/minio/mc).

- All features currently used by your buckets will work as is without any changes
  - SSE (Server Side Encryption)
  - Replication (Server Side Replication)

## Prerequisites

- It is assumed you have users created and configured with relevant access policies, to start with

		cat "/tmp/${site}_1.log"
		echo "==========================="
		cat "/tmp/${site}_2.log"
	done

	exit 1
}

cleanup() {
	echo -n "Cleaning up instances of MinIO ..."
	pkill -9 minio || sudo pkill -9 minio
	rm -rf /tmp/sitea
	rm -rf /tmp/siteb
	echo "done"
}

cleanup

export MINIO_CI_CD=1
export MINIO_BROWSER=off

make install-race

# Start MinIO instances

### Hardware attacks

Physical GPUs or TPUs can also be the target of attacks. [Published
research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running

Pero queremos poder parametrizar ese contenido fijo.

## Una *instance* "callable"

En Python hay una forma de hacer que una instance de una clase sea un "callable".

No la clase en sí (que ya es un callable), sino una instance de esa clase.

Para hacer eso, declaramos un método `__call__`:

{* ../../docs_src/dependencies/tutorial011_an_py39.py hl[12] *}

   * class documentation above). This method is <i>generally expected</i>, but not absolutely
   * required, to have the following properties:
   *
   * <ul>
   *   <li>Its execution does not cause any observable side effects.
   *   <li>The computation is <i>consistent with equals</i>; that is, {@link Objects#equal
   *       Objects.equal}{@code (a, b)} implies that {@code predicate.apply(a) ==
   *       predicate.apply(b))}.
   * </ul>

          fi
          docker container prune -f
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository
        uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
      - name: Build binary and run python tests
        shell: bash
        run: |

- All sites must be using the **same** external IDP(s) if any.
- For [SSE-S3 or SSE-KMS encryption via KMS](https://docs.min.io/community/minio-object-store/operations/server-side-encryption.html "MinIO KMS Guide"), all sites **must**  have access to a central KMS deployment. This can be achieved via a central KES server or multiple KES servers (say one per site) connected via a central KMS (Vault) server.

    }

    @Test
    @DisplayName("getSIDResolver should return initialized SID resolver")
    void testGetSIDResolver() {
        // When
        SidResolver sidResolver = context.getSIDResolver();

        // Then
        assertNotNull(sidResolver, "SID resolver should not be null");
        assertSame(sidResolver, context.getSIDResolver(), "Should return same instance on multiple calls");

		until (mc alias set minio http://127.0.0.1:9000 minioadmin minioadmin); do
			echo "...waiting... for 5secs" && sleep 5
		done
	done

	echo "Sleeping for nginx"
	sleep 20
}

__init__() {
	sudo apt install curl -y
	export GOPATH=/tmp/gopath
	export PATH=${PATH}:${GOPATH}/bin

	go install github.com/minio/mc@latest

	## this is needed because github actions don't have
	## docker-compose on all runners

Y muestra su verdadero compromiso con FastAPI y su **comunidad** (tú), ya que no solo quieren brindarte una **buena experiencia de aprendizaje** sino que también quieren asegurarse de que tengas un **buen y saludable framework**, FastAPI. 🙇

Podrías querer probar sus cursos: