import org.apache.maven.api.services.model.*;

/**
 * Handles normalization of a model.
 *
 */
@Named
@Singleton
public class DefaultModelNormalizer implements ModelNormalizer {

    private DuplicateMerger merger = new DuplicateMerger();

    @Override
    public Model mergeDuplicates(Model model, ModelBuilderRequest request, ModelProblemCollector problems) {
        Model.Builder builder = Model.newBuilder(model);

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  }

  @GwtIncompatible // weigher
  public void testWeigher_withoutMaximumWeight() {
    CacheBuilder<Object, Object> builder = CacheBuilder.newBuilder().weigher(constantWeigher(42));
    assertThrows(IllegalStateException.class, () -> builder.build(identityLoader()));
  }

  @GwtIncompatible // weigher
  public void testWeigher_withMaximumSize() {
    assertThrows(

/**
 * Utility {@link Weigher} implementations intended for use in testing.
 *
 * @author Charles Fry
 */
public class TestingWeighers {

  /** Returns a {@link Weigher} that returns the given {@code constant} for every request. */
  static Weigher<Object, Object> constantWeigher(int constant) {
    return new ConstantWeigher(constant);
  }

  /** Returns a {@link Weigher} that uses the integer key as the weight. */

          } catch (CancellationException e) {
            assertTrue(merger == Merger.allMerger);
            inputs.assertHasImmediateCancel(iFuture, jFuture, e);
          } catch (ExecutionException e) {
            assertTrue(merger == Merger.allMerger);
            inputs.assertHasImmediateFailure(iFuture, jFuture, e);
          } catch (TimeoutException e) {

    ],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        "//tensorflow/c/eager:abstract_context",
        "//tensorflow/c/eager:abstract_operation",
        "//tensorflow/c/eager:abstract_tensor_handle",
        "//tensorflow/c/eager:c_api_unified_internal",
        "//tensorflow/c/eager:tracing_utils",
        "//tensorflow/core:framework",
        "//tensorflow/core/platform:errors",

#ifndef TENSORFLOW_C_EAGER_UNIFIED_API_TESTUTIL_H_
#define TENSORFLOW_C_EAGER_UNIFIED_API_TESTUTIL_H_

#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/c_api_test_util.h"
#include "tensorflow/c/eager/c_api_unified_experimental.h"
#include "tensorflow/c/eager/c_api_unified_experimental_internal.h"

        "//tensorflow/c:safe_ptr",
        "//tensorflow/c:tf_status_internal",
        "//tensorflow/c/eager:c_api",
        "//tensorflow/c/eager:c_api_experimental",
        "//tensorflow/c/eager:tfe_cancellation_manager_internal",
        "//tensorflow/c/eager:tfe_op_internal",
        "//tensorflow/c/eager:tfe_tensorhandle_internal",
        "//tensorflow/core:framework",
        "//tensorflow/core:lib",

==============================================================================*/

#include "tensorflow/c/eager/c_api_unified_experimental.h"

#include <memory>

#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/eager/c_api_test_util.h"
#include "tensorflow/c/eager/c_api_unified_experimental_internal.h"
#include "tensorflow/c/tf_datatype.h"
#include "tensorflow/c/tf_status.h"

    IdentityLoader<Integer> loader = identityLoader();

    // Even numbers are free, odd are too expensive
    Weigher<Integer, Integer> evensOnly =
        new Weigher<Integer, Integer>() {
          @Override
          public int weigh(Integer k, Integer v) {
            return k % 2;
          }
        };