/**
     * Gets the POM whose build plugins are to be scanned for the prefix.
     *
     * @return The POM whose build plugins are to be scanned for the prefix or {@code null} to only search the plugin
     *         repositories.
     */
    Model getPom();

    /**
     * Sets the POM whose build plugins are to be scanned for the prefix.
     *

/**
 * Handles expansion of general build plugin configuration into individual executions.
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public interface PluginConfigurationExpander {

    /**
     * Merges values from general build plugin configuration into the individual plugin executions of the given model.
     *

between the runs. All the python-agnostic parts of the build cache from the
previous build will be preserved and reused for the subsequent builds.

### Specifying Python dependencies

During bazel build all TensorFlow's Python dependencies are pinned to their
specific versions. This is necessary to ensure reproducibility of the build.
The pinned versions of the full transitive closure of TensorFlow's dependencies

            }
            xml.append("        </plugins>\n");
            xml.append("    </build>\n");
        }

        xml.append("</project>\n");
        return xml.toString();
    }

    public Document buildDocument() {
        try {
            String xmlContent = build();
            Editor editor = new Editor(Document.of(xmlContent));
            return editor.document();

                    .longOpt("fail-at-end")
                    .desc("Only fail the build afterwards; allow all non-impacted builds to continue")
                    .get());
            options.addOption(Option.builder(FAIL_NEVER)
                    .longOpt("fail-never")
                    .desc("NEVER fail the build, regardless of project result")
                    .get());

#     dbg:              Build with debug info
#
# TF version options;
#     v2: Build TF v2
#
# Feature and Third party library support options:
#     xla:          Build TF with XLA
#     tpu:          Build TF with TPU support
#     cuda:         Build with CUDA support.
#     cuda_clang    Build with CUDA Clang support.
#     rocm:         Build with AMD GPU support (rocm)

platforms/core-execution/build-cache-base/                  @gradle/bt-cortex @gradle/dv-integrations-team
platforms/core-execution/build-cache-http/                  @gradle/bt-cortex @gradle/dv-integrations-team
platforms/core-execution/build-cache-packaging/             @gradle/bt-cortex @gradle/dv-integrations-team
platforms/core-execution/build-cache-spi/                   @gradle/bt-cortex @gradle/dv-integrations-team

 *
 * <p>Example usage:</p>
 * <pre>
 * XmlNode node = XmlNode.newBuilder()
 *     .name("configuration")
 *     .attribute("version", "1.0")
 *     .child(XmlNode.newInstance("property", "value"))
 *     .build();
 * </pre>
 *
 * @since 4.0.0
 */
@Experimental
@ThreadSafe
@Immutable
public interface XmlNode {

    /**
     * @deprecated since 4.0.0.

 *   <li>{@link org.apache.maven.api.model.Plugin} - Represents a Maven plugin configuration</li>
 *   <li>{@link org.apache.maven.api.model.Build} - Contains build configuration information</li>
 *   <li>{@link org.apache.maven.api.model.Profile} - Represents a build profile for conditional execution</li>
 * </ul>
 *
 * @since 4.0.0
 */

/**
 * Represents a Java toolchain in the Maven build system.
 *
 * <p>A Java toolchain is a specific type of toolchain that provides access
 * to Java development tools, such as the Java compiler and Java runtime
 * environment. This interface allows users to define and configure
 * Java-related toolchains that can be utilized during the build process
 * in Maven.</p>
 *