firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.CONSTRUCTOR_IN_OBJECT) { firDiagnostic ->
        ConstructorInObjectImpl(
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.CONSTRUCTOR_IN_INTERFACE) { firDiagnostic ->
        ConstructorInInterfaceImpl(
            firDiagnostic as KtPsiDiagnostic,

   * <p><b>Note:</b> if {@code K} is an {@code enum} type, use {@link #newEnumMap} instead.
   *
   * <p><b>Note:</b> this method is now unnecessary and should be treated as deprecated. Instead,
   * use the {@code HashMap} constructor directly, taking advantage of <a
   * href="http://goo.gl/iz2Wi">"diamond" syntax</a>.
   *
   * @return a new, empty {@code HashMap}
   */
  public static <K extends @Nullable Object, V extends @Nullable Object>

static java.util.Properties loadProperties(java.io.InputStream); } org/codehaus/plexus/util/reflection/Reflector.class package org.codehaus.plexus.util.reflection; public final synchronized class Reflector { private static final String CONSTRUCTOR_METHOD_NAME = $$CONSTRUCTOR$$; private static final String GET_INSTANCE_METHOD_NAME = getInstance; private java.util.HashMap classMaps; public void Reflector(); public Object newInstance(Class, Object[]) throws ReflectorException; public Object getSingleton(Class,...

  }

  // TODO(cpovirk): Inline createCacheBuilder()?

  private static CacheBuilder<Object, Object> createCacheBuilder() {
    return CacheBuilder.newBuilder();
  }

  // constructor tests

  public void testDefaults() {
    LocalCache<Object, Object> map = makeLocalCache(createCacheBuilder());

    assertSame(Strength.STRONG, map.keyStrength);

  }

  // TODO(cpovirk): Inline createCacheBuilder()?

  private static CacheBuilder<Object, Object> createCacheBuilder() {
    return CacheBuilder.newBuilder();
  }

  // constructor tests

  public void testDefaults() {
    LocalCache<Object, Object> map = makeLocalCache(createCacheBuilder());

    assertSame(Strength.STRONG, map.keyStrength);

             * This test relies on behavior that's unspecified but currently
             * guaranteed by the implementation: Cancellation of inputs is
             * performed in the order they were provided to the constructor. Verify
             * that as a sanity check:
             */
            assertFalse(future2.isCancelled());
            // Now attempt to trigger the exception:
            future2.set(DATA2);
          }

  /**
   * The maximum capacity, used if a higher value is implicitly specified by either of the
   * constructors with arguments. MUST be a power of two {@code <= 1<<30} to ensure that entries are
   * indexable using ints.
   */
  static final int MAXIMUM_CAPACITY = 1 << 30;

  /** The maximum number of segments to allow; used to bound constructor arguments. */
  static final int MAX_SEGMENTS = 1 << 16; // slightly conservative

             * This test relies on behavior that's unspecified but currently
             * guaranteed by the implementation: Cancellation of inputs is
             * performed in the order they were provided to the constructor. Verify
             * that as a sanity check:
             */
            assertFalse(future2.isCancelled());
            // Now attempt to trigger the exception:
            future2.set(DATA2);
          }

  /**
   * The maximum capacity, used if a higher value is implicitly specified by either of the
   * constructors with arguments. MUST be a power of two {@code <= 1<<30} to ensure that entries are
   * indexable using ints.
   */
  static final int MAXIMUM_CAPACITY = 1 << 30;

  /** The maximum number of segments to allow; used to bound constructor arguments. */
  static final int MAX_SEGMENTS = 1 << 16; // slightly conservative

#include "tensorflow/c/tf_tensor.h"
#include "tensorflow/core/common_runtime/device_mgr.h"
#include "tensorflow/core/common_runtime/eval_const_tensor.h"
#include "tensorflow/core/common_runtime/graph_constructor.h"
#include "tensorflow/core/common_runtime/shape_refiner.h"
#include "tensorflow/core/config/flag_defs.h"
#include "tensorflow/core/config/flags.h"
#include "tensorflow/core/framework/allocation_description.pb.h"