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.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.
Eager mode lets users write imperative-style statements that can be easily
inspected and debugged and it is intended to be used during the development
phase.

  protected AbstractExecutionThreadService() {}

  /**
   * Start the service. This method is invoked on the execution thread.
   *
   * <p>By default this method does nothing.
   */
  protected void startUp() throws Exception {}

  /**
   * Run the service. This method is invoked on the execution thread. Implementations must respond
   * to stop requests. You could poll for lifecycle changes in a work loop:
   *

     */
    public boolean isUpdated() {
        return newInput != null && newOutput != null;
    }

    /**
     * Checks if the item has been marked for deletion.
     *
     * @return true if the item is marked for deletion, false otherwise.
     */
    public boolean isDeleted() {
        return isUpdated() && StringUtil.isBlank(newInput);
    }

    @Override
    public int hashCode() {

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.lifecycle.internal;

import java.util.List;

import org.apache.maven.execution.MavenSession;
import org.apache.maven.execution.ProjectDependencyGraph;
import org.apache.maven.lifecycle.LifecycleNotFoundException;
import org.apache.maven.lifecycle.LifecyclePhaseNotFoundException;

                            <la:message key="labels.design_configuration"/>
                        </h1>
                    </div>
                </div>
            </div>
        </div>
        <section class="content">
            <div class="row">
                <div class="col-md-12">
                    <div>
                        <la:info id="msg" message="true">

import org.apache.maven.artifact.resolver.ArtifactResolutionResult;
import org.apache.maven.artifact.resolver.ResolutionErrorHandler;
import org.apache.maven.execution.DefaultMavenExecutionRequest;
import org.apache.maven.execution.DefaultMavenExecutionResult;
import org.apache.maven.execution.MavenSession;
import org.apache.maven.impl.DefaultArtifact;
import org.apache.maven.impl.DefaultArtifactCoordinatesFactory;

          <models>
            <model>src/main/mdo/toolchains.mdo</model>
          </models>
        </configuration>
        <executions>
          <execution>
            <id>velocity</id>
            <goals>
              <goal>velocity</goal>
            </goals>
            <phase>generate-sources</phase>
            <configuration>
              <templates>

          </params>
          <velocityBasedir>${project.basedir}/../../src/mdo</velocityBasedir>
        </configuration>
        <executions>
          <execution>
            <id>modello-v3</id>
            <goals>
              <goal>velocity</goal>
            </goals>
            <configuration>
              <version>1.1.0</version>
              <models>

   * after serialization.
   */
  @J2ktIncompatible
  @GwtIncompatible // reflection
  public static List<Method> getInverseSameAfterSerializingMethods() {
    return Collections.singletonList(getMethod("testInverseSerialization"));
  }

  @J2ktIncompatible
  @GwtIncompatible // reflection
  private static Method getMethod(String methodName) {

  metrics_path: /minio/v2/metrics/resource
  scheme: http
  static_configs:
  - targets: ['localhost:9000']
```

### 4. Update `scrape_configs` section in prometheus.yml

To authorize every scrape request, copy and paste the generated `scrape_configs` section in the prometheus.yml and restart the Prometheus service.

### 5. Start Prometheus

Start (or) Restart Prometheus service by running

```sh