({{{./xref/org/apache/maven/model/validation/DefaultModelValidator.html}source}})

   ** model normalization - merge duplicates: <<<ModelNormalizer>>> ({{{./apidocs/org/apache/maven/model/normalization/ModelNormalizer.html}javadoc}}),
   with its <<<DefaultModelNormalizer>>> implementation
   ({{{./xref/org/apache/maven/model/normalization/DefaultModelNormalizer.html}source}})

 * under the License.
 */
package org.apache.maven.model.normalization;

import org.apache.maven.model.Model;
import org.apache.maven.model.building.ModelBuildingRequest;
import org.apache.maven.model.building.ModelProblemCollector;

/**
 * Handles normalization of a model. In this context, normalization is the process of producing a canonical

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

import javax.inject.Named;
import javax.inject.Singleton;

import java.util.ArrayList;
import java.util.Collections;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;

              <exclude>org.apache.maven.model.merge.MavenModelMerger</exclude>
              <exclude>org.apache.maven.model.normalization.DefaultModelNormalizer$DuplicateMerger#mergePlugin(org.apache.maven.model.Plugin,org.apache.maven.model.Plugin):METHOD_REMOVED</exclude>
              <exclude>org.apache.maven.model.normalization.DefaultModelNormalizer$DuplicateMerger:METHOD_REMOVED_IN_SUPERCLASS</exclude>

import org.apache.maven.model.management.DependencyManagementInjector;
import org.apache.maven.model.management.PluginManagementInjector;
import org.apache.maven.model.normalization.DefaultModelNormalizer;
import org.apache.maven.model.normalization.ModelNormalizer;
import org.apache.maven.model.path.DefaultModelPathTranslator;
import org.apache.maven.model.path.DefaultModelUrlNormalizer;

  {
    "name": "native",
    "path": "platforms/core-runtime/native",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "normalization-java",
    "path": "platforms/jvm/normalization-java",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "performance",
    "path": "testing/performance",

					"name":"TestDistribution"
				},
				"subprojects":[
					"language-native",
					"io",
					"testing-jvm-infrastructure",
					"cli",
					"daemon-protocol",
					"build-cache-base",
					"normalization-java",
					"docs",
					"stdlib-kotlin-extensions",
					"build-option",
					"internal-instrumentation-api"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"

import org.apache.maven.model.io.ModelReader;
import org.apache.maven.model.management.DependencyManagementInjector;
import org.apache.maven.model.management.PluginManagementInjector;
import org.apache.maven.model.normalization.ModelNormalizer;
import org.apache.maven.model.path.ModelPathTranslator;
import org.apache.maven.model.path.ModelUrlNormalizer;
import org.apache.maven.model.path.ProfileActivationFilePathInterpolator;

            dimension if necessary. Use this mode on rank 1 inputs for the old
            `"binary"` behavior of one-hot encoding a batch of scalars.
        *   `Normalization` will no longer automatically uprank rank 1 inputs,
            allowing normalization of unbatched multi-dimensional samples.

*   `tf.lite`:

    *   The recommended Android NDK version for building TensorFlow Lite has

--font-family-sans-serif: #{inspect($font-family-sans-serif)};\n  --font-family-monospace: #{inspect($font-family-monospace)};\n}\n","// stylelint-disable declaration-no-important, selector-no-qualifying-type, property-no-vendor-prefix\n\n// Reboot\n//\n// Normalization of HTML elements, manually forked from Normalize.css to remove\n// styles targeting irrelevant browsers while applying new styles.\n//\n// Normalize is licensed MIT. https://github.com/necolas/normalize.css\n\n\n// Document\n//\n// 1. Change from...