of the code.  There are many ways you could offer source, and different
solutions will be better for different programs; see section 13 for the
specific requirements.

  You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see

of the code base.

## Scope

The vulnerability management policy described in this document covers the
process of investigating, assessing and resolving a vulnerability report
opened by a MinIO employee or an external third party.

Therefore, it lists pre-conditions and actions that should be performed to
resolve and fix a reported vulnerability.

## Vulnerability Management Process

# Déployer avec Docker

Dans cette section, vous verrez des instructions et des liens vers des guides pour savoir comment :

* Faire de votre application **FastAPI** une image/conteneur Docker avec une performance maximale. En environ **5 min**.
* (Optionnellement) comprendre ce que vous, en tant que développeur, devez savoir sur HTTPS.
* Configurer un cluster en mode Docker Swarm avec HTTPS automatique, même sur un simple serveur à 5 dollars US/mois. En environ **20 min**.

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.artifact.deployer;

import javax.inject.Inject;

import java.io.File;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;

import org.apache.maven.artifact.AbstractArtifactComponentTestCase;

# Déploiement

Le déploiement d'une application **FastAPI** est relativement simple.

## Que signifie le déploiement

**Déployer** une application signifie effectuer les étapes nécessaires pour la rendre **disponible pour les
utilisateurs**.

Pour une **API Web**, cela implique normalement de la placer sur une **machine distante**, avec un **programme serveur**

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.artifact.deployer;

/**
 */
@Deprecated
public class ArtifactDeploymentException extends Exception {
    public ArtifactDeploymentException(String message) {
        super(message);
    }

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.artifact.deployer;

import java.io.File;

import org.apache.maven.artifact.Artifact;
import org.apache.maven.artifact.repository.ArtifactRepository;

/**
 * ArtifactDeployer
 */
@Deprecated

            ArtifactMetadata metadata, ArtifactRepository remoteRepository, File file, String checksumPolicyWarn)
            throws TransferFailedException, ResourceDoesNotExistException;

    //
    // Deployer
    //
    void putArtifact(
            File source, Artifact artifact, ArtifactRepository deploymentRepository, TransferListener downloadMonitor)
            throws TransferFailedException;

 * under the License.
 */
package org.apache.maven.repository.legacy.resolver.transform;

import java.util.List;

import org.apache.maven.artifact.Artifact;
import org.apache.maven.artifact.deployer.ArtifactDeploymentException;
import org.apache.maven.artifact.installer.ArtifactInstallationException;
import org.apache.maven.artifact.repository.ArtifactRepository;
import org.apache.maven.artifact.repository.RepositoryRequest;

You may check how your changes will affect TensorFlow by:

1. Creating a PR and observing the presubmit test results
2. Running the CI scripts locally, as explained below
3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job
against a pending change. Search for "MLCI" internally to find it.