*
     * <ul>
     *   <li>If {@link #MODULES} path type is also set, then the dependency can be placed either on the
     *       class-path or on the module-path, but only one of those. The choice is up to the plugin,
     *       possibly using heuristic rules (Maven 3 behavior).</li>
     *   <li>If a {@link #patchModule(String)} is also set and the main JAR file is placed on the module-path,

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.api.plugin;

import java.util.function.Supplier;

import org.apache.maven.api.annotations.Experimental;
import org.apache.maven.api.annotations.Provider;

/**

* Fix issue where on re-registration of device plugin, `allocatable` was not getting updated. This issue makes devices invisible to the Kubelet if device plugin restarts. Only work-around, if this fix is not there, is to restart the kubelet and then start device plugin. ([#63118](https://github.com/kubernetes/kubernetes/pull/63118), [@vikaschoudhary16](https://github.com/vikaschoudhary16))

- Scheduler: Add DefaultBinder plugin ([#87430](https://github.com/kubernetes/kubernetes/pull/87430), [@alculquicondor](https://github.com/alculquicondor)) [SIG Scheduling and Testing]

    private Model getModel(String name) throws IOException {
        return reader.read(getPom(name), null).getDelegate();
    }

    @Test
    void testPluginConfiguration() throws Exception {
        testInheritance("plugin-configuration");
    }

    /**
     * Check most classical urls inheritance: directory structure where parent POM in parent directory
     * and child directory == artifactId
     * @throws IOException Model read problem

_current_module.__path__ = [_module_dir] + _current_module.__path__


# Enable TF2 behaviors
from tensorflow.python.compat import v2_compat as _compat
_compat.enable_v2_behavior()
_major_api_version = 2


# Load all plugin libraries from site-packages/tensorflow-plugins if we are
# running under pip.
# TODO(gunan): Find a better location for this code snippet.
from tensorflow.python.framework import load_library as _ll

* Fix issue where on re-registration of device plugin, `allocatable` was not getting updated. This issue makes devices invisible to the Kubelet if device plugin restarts. Only work-around, if this fix is not there, is to restart the kubelet and then start device plugin. ([#63118](https://github.com/kubernetes/kubernetes/pull/63118), [@vikaschoudhary16](https://github.com/vikaschoudhary16))

		}
		// In Kubernetes environment, try to fetch the Operator, VSPHERE plugin version
		opVersion := env.Get("MINIO_OPERATOR_VERSION", "")
		if opVersion != "" {
			uaAppend(" operator-", opVersion)
		}
		vsphereVersion := env.Get("MINIO_VSPHERE_PLUGIN_VERSION", "")
		if vsphereVersion != "" {
			uaAppend(" vsphere-plugin-", vsphereVersion)
		}
	}

	if IsPCFTile() {

      --enable-gnu-indirect-function \
      --enable-gnu-unique-object \
      --enable-initfini-array \
      --enable-languages="c,c++" \
      --enable-linker-build-id \
      --enable-plugin \
      --enable-shared \
      --enable-threads=posix \
      --with-default-libstdcxx-abi=${LIBSTDCXX_ABI} \
      --with-gcc-major-version-only \
      --with-linker-hash-style="gnu" \
      && \

labels.reload_doc_index=Reload Doc Index
labels.reload_doc_index_button=Reload
labels.plugin_title=Plugin
labels.plugin_list_name=Plugin List
labels.plugin_type=Type
labels.plugin_name=Name
labels.plugin_version=Version
labels.plugin_delete=Delete
labels.plugin_install=Install
labels.plugin_install_title=Install Plugin
labels.plugin_jar_file=Jar File
labels.plugin_local_install=Local