Voici un petit bout de cette histoire.

## Alternatives

Je crée des API avec des exigences complexes depuis plusieurs années (Machine Learning, systèmes distribués, jobs asynchrones, bases de données NoSQL, etc), en dirigeant plusieurs équipes de développeurs.

Dans ce cadre, j'ai dû étudier, tester et utiliser de nombreuses alternatives.

      jvmTarget = JavaVersion.VERSION_1_8.toString()
      freeCompilerArgs = listOf(
        "-Xjvm-default=all",
      )
    }
  }

  val platform = System.getProperty("okhttp.platform", "jdk9")
  val testJavaVersion = System.getProperty("test.java.version", "21").toInt()

  val testRuntimeOnly: Configuration by configurations.getting
  dependencies {
    testRuntimeOnly(rootProject.libs.junit.jupiter.engine)

For example, if an attacker were to upload a malicious video file, they could
potentially exploit a vulnerability in the TensorFlow code that handles videos,
which could allow them to execute arbitrary code on the system running
TensorFlow.

It is important to keep TensorFlow up to date with the latest security patches
and follow the sandboxing guideline above to protect against these types of
vulnerabilities.

        return path != null ? path.toFile() : null;
    }

    @Override
    public Path locatePom(Path projectDirectory) {
        return projectDirectory != null ? projectDirectory : Paths.get(System.getProperty("user.dir"));
    }

    @Deprecated
    @Override
    public File locateExistingPom(File project) {
        Path path = locateExistingPom(project != null ? project.toPath() : null);

        .post(requestBody)
        .build();

    try (Response response = client.newCall(request).execute()) {
      if (!response.isSuccessful()) throw new IOException("Unexpected code " + response);

      System.out.println(response.body().string());
    }
  }

  public static void main(String... args) throws Exception {
    new PostMultipart().run();
  }

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.collect.testing;

import static java.lang.System.arraycopy;

import com.google.common.annotations.GwtCompatible;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;

---
name: TensorFlow Lite in Play Services issue
about: Use this template for issues with TensorFlow Lite in Google Play Services
labels: 'comp:lite-in-play-services'

---

**System information**
- Android Device information (use `adb shell getprop ro.build.fingerprint`
  if possible):
- TensorFlow Lite in Play Services SDK version (found in `build.gradle`):
- Google Play Services version

/**
 * Common elements of artifact metadata.
 *
 */
@Deprecated
public abstract class AbstractArtifactMetadata implements ArtifactMetadata {
    private static final String LS = System.lineSeparator();

    protected Artifact artifact;

    protected AbstractArtifactMetadata(Artifact artifact) {
        this.artifact = artifact;
    }

    public boolean storedInGroupDirectory() {

        IssueManagement im = new IssueManagement();
        im.setSystem("Velociraptor");
        im.setUrl("https://velo.localdomain");

        String s = im.toString();

        assert "IssueManagement {system=Velociraptor, url=https://velo.localdomain}".equals(s) : s;
    }

     */
    public static void setInstance( PrintStream stream ) {
        inst = new LogStream( stream );
    }
    public static LogStream getInstance() {
        if( inst == null ) {
            setInstance( System.err );
        }
        return inst;
    }