</models>
        </configuration>
        <executions>
          <execution>
            <id>modello</id>
            <goals>
              <goal>java</goal>
              <goal>xpp3-reader</goal>
              <goal>xpp3-writer</goal>
            </goals>
          </execution>
        </executions>
      </plugin>
    </plugins>
  </build>

				<groupId>org.codelibs.maven</groupId>
				<artifactId>yuicompressor-maven-plugin</artifactId>
				<version>2.0.0</version>
				<executions>
					<execution>
						<phase>compile</phase>
						<goals>
							<goal>compress</goal>
						</goals>
					</execution>
				</executions>
				<configuration>
					<nosuffix>true</nosuffix>

            <param>isMavenModel=true</param>
            <param>minimalVersion=4.0.0</param>
          </params>
        </configuration>
        <executions>
          <execution>
            <id>model-v3</id>
            <goals>
              <goal>velocity</goal>
            </goals>
            <phase>generate-sources</phase>
            <configuration>

   * known limitations are notably that:

     1. plugin goal execution in a child is usually simply appended (at end): you can't try to insert in the middle of pre-existing inherited executions,

     2. append happens at plugin level first, then goal level, independently from phases.

        plugin.setLocation("version", new InputLocation(12, 34, defaultBindings));
        MojoExecution result = new MojoExecution(plugin, goal, executionId);
        result.setConfiguration(XmlNode.newInstance(executionId + "-" + goal));
        result.setMojoDescriptor(mojoDescriptor);
        result.setLifecyclePhase(mojoDescriptor.getPhase());

        return result;
    }

 * This class coordinates the execution of data store crawling processes,
 * managing multiple concurrent crawling threads and handling the indexing
 * of crawled documents into the search engine.
 *
 * <p>The DataIndexHelper supports:</p>
 * <ul>
 *   <li>Concurrent crawling of multiple data configurations</li>
 *   <li>Thread pool management for crawler execution</li>

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.

                        .location("groupId", location)
                        .location("artifactId", location)
                        .location("version", location)
                        .executions(execs)
                        .dependencies(deps)
                        .build();

                plugins.put(key, plugin);
            }
        }
    }

import org.apache.maven.classrealm.ClassRealmManager;
import org.apache.maven.di.Injector;
import org.apache.maven.di.Key;
import org.apache.maven.execution.MavenSession;
import org.apache.maven.execution.scope.internal.MojoExecutionScope;
import org.apache.maven.execution.scope.internal.MojoExecutionScopeModule;
import org.apache.maven.internal.impl.DefaultLog;
import org.apache.maven.internal.impl.DefaultMojoExecution;

                // Id
                org = execution.getId();
                val = interpolate(org);
                if (org != val) {
                    execution.setId(val);
                }
                // Phase
                org = execution.getPhase();
                val = interpolate(org);
                if (org != val) {
                    execution.setPhase(val);