import org.apache.maven.model.Plugin;
import org.apache.maven.model.PluginExecution;
import org.apache.maven.plugin.MavenPluginManager;
import org.apache.maven.plugin.MojoExecution;
import org.apache.maven.plugin.MojoNotFoundException;
import org.apache.maven.plugin.PluginDescriptorParsingException;
import org.apache.maven.plugin.descriptor.MojoDescriptor;
import org.apache.maven.plugin.descriptor.Parameter;

			packages (tar.gz, deb, rpm) using Maven resources plugin -->
		<filters>
			<filter>src/packaging/common/packaging.properties</filter>
		</filters>

		<plugins>
			<plugin>
				<artifactId>maven-compiler-plugin</artifactId>
			</plugin>
			<plugin>
				<artifactId>maven-source-plugin</artifactId>
			</plugin>
			<plugin>
				<artifactId>maven-war-plugin</artifactId>
				<configuration>
					<webResources>

            List<Plugin> plugins,
            String prefix,
            String prefix2,
            ModelBuildingRequest request) {
        Severity errOn31 = getSeverity(request, ModelBuildingRequest.VALIDATION_LEVEL_MAVEN_3_1);

        Map<String, Plugin> index = new HashMap<>();

        for (Plugin plugin : plugins) {
            if (plugin.getGroupId() == null

            Build build = model.getBuild();
            if (build != null) {
                for (Plugin plugin : build.getPlugins()) {
                    String key = plugin.getKey();
                    if (versions.get(key) == null) {
                        versions.put(key, plugin.getVersion());
                        plugins.put(key, plugin);
                    }
                }

    win_def_file = ":tensorflow_filtered_def_file",
)

# To avoid duplication, check that the C++ or python library does not depend on
# the stream executor cuda plugins. Targets that want to use cuda APIs should
# instead depend on the dummy plugins in //tensorflow/compiler/xla/tsl/platform/default/build_config
# and use header only targets.
# TODO(ddunleavy): This seems completely broken. :tensorflow_cc depends on

    const TF_DeviceList* list, int index, TF_Status* status);

// --------------------------------------------------------------------------
// Load plugins containing custom ops and kernels

// TF_Library holds information about dynamically loaded TensorFlow plugins.
typedef struct TF_Library TF_Library;

// Load the library specified by library_filename and register the ops and
// kernels present in that library.
//

#                                                     ------

#plugin.repositories=https://repo.maven.apache.org/maven2/org/codelibs/fess/,https://oss.sonatype.org/content/repositories/snapshots/org/codelibs/fess/,https://fess.codelibs.org/plugin/artifacts.yaml

# Plugin repository URLs.
plugin.repositories=https://repo.maven.apache.org/maven2/org/codelibs/fess/,https://fess.codelibs.org/plugin/artifacts.yaml
# Version filter for plugins.

labels.plugin_title=Plugin
labels.plugin_list_name=Lista de plugins
labels.plugin_type=Tipo
labels.plugin_name=Nome
labels.plugin_version=Versão
labels.plugin_delete=Excluir
labels.plugin_install=Instalar
labels.plugin_install_title=Instalar plugin
labels.plugin_jar_file=Arquivo Jar
labels.plugin_local_install=Local

labels.plugin_title=Plugin
labels.plugin_list_name=Liste des plugins
labels.plugin_type=Type
labels.plugin_name=Nom
labels.plugin_version=Version
labels.plugin_delete=Supprimer
labels.plugin_install=Installer
labels.plugin_install_title=Installer le plugin
labels.plugin_jar_file=Fichier Jar
labels.plugin_local_install=Local

labels.plugin_title=Plugin
labels.plugin_list_name=Lista de plugins
labels.plugin_type=Tipo
labels.plugin_name=Nombre
labels.plugin_version=Versión
labels.plugin_delete=Eliminar
labels.plugin_install=Instalar
labels.plugin_install_title=Instalar plugin
labels.plugin_jar_file=Archivo Jar
labels.plugin_local_install=Local