*  <li>or as composite/multi-type codecs, backed by a set of bindings, via {@link org.gradle.internal.serialize.graph.codecs.Bindings#build()} - see below for more on Bindings.
 *  </ul>
 *
 * <h3>Building Composite Codecs using Bindings</h3>

 * limitations under the License.
 */

package org.gradle.internal.model;

import java.util.Map;
import java.util.function.Function;

/**
 * A cache backed by calculated values. This map is thread-safe.
 */
public interface CalculatedValueCache<K, V> {

    /**
     * @see Map#computeIfAbsent(Object, Function)
     */
    V computeIfAbsent(K key, Function<K, V> factory);

        withValidityAssertion { analysisSession.jvmTypeMapper.mapTypeToJvmType(this, mode) }

    /**
     * Returns true if the type is backed by a single JVM primitive type
     */
    public val KaType.isPrimitiveBacked: Boolean
        get() = withValidityAssertion { analysisSession.jvmTypeMapper.isPrimitiveBacked(this) }
}

import com.intellij.psi.PsiElement
import org.jetbrains.kotlin.analysis.api.symbols.KaSymbolOrigin
import org.jetbrains.kotlin.fir.symbols.FirBasedSymbol

/**
 * A [KaFirSymbol] that is backed by some [PsiElement] and builds [firSymbol] lazily (by convention), allowing some properties to be
 * calculated without the need to build a [firSymbol].
 */

     * <p>
     * For example, the value might have been restored from the configuration cache.
     */
    <T> CalculatedValue<T> create(DisplayName displayName, T value);

    /**
     * Creates a cache backed by calculated values.
     */
    <K, V> CalculatedValueCache<K, V> createCache(DisplayName type);

  // Insert/find if prefix is unique.
  auto prefix_it = name_to_count_.try_emplace(prefix, 0);
  if (prefix_it.second && IsUnique(prefix)) {
    // Name is unique, increment count and return string name backed by
    // `name_to_count_`.
    ++prefix_it.first->second;
    return prefix_it.first->first();
  }

  // Add increasing number (count) to end of prefix until it is determined
  // to be unique.

    'mlir-hlo-opt',
    'mlir-opt',
    'mlir-tflite-runner',
    'mlir-translate',
    'odml-to-stablehlo-opt',
    'odml_to_stablehlo',
    'odml-converter',
    'stable-quant-opt',
    'tac-opt-all-backends',
    'tac-translate',
    'tf-mlir-translate',
    'tf-opt',
    'tf-quant-opt',
    'tf-reduce',
    'tf-tfrt-opt',
    'tf_tfjs_translate',
    'tf_tfl_translate',
    'tfcompile',

// RUN: tac-opt-all-backends -tfl-device-transform-nnapi %s -split-input-file -verify-diagnostics | FileCheck %s

func.func @mean_4d_keepdim(%arg0: tensor<1x48x48x512xf32>) -> tensor<1x1x1x512xf32> {
  %cst = arith.constant dense<[1, 2]> : tensor<2xi32>
  %0 = "tfl.mean"(%arg0, %cst) {keep_dims = true} : (tensor<1x48x48x512xf32>, tensor<2xi32>) -> tensor<1x1x1x512xf32>
  func.return %0 : tensor<1x1x1x512xf32>
}

 * by {@link #getLocalAccess()} will attempt both local _and_ remote access operations on the delegate.
 *
 * This is used to wrap a file-backed ExternalResourceRepository instance, so that both 'local' and 'remote' operations will
 * be considered local.
 */
public class LocalModuleComponentRepository<T> extends BaseModuleComponentRepository<T> {

import com.google.j2objc.annotations.WeakOuter;
import java.util.Map;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Implementation of ImmutableBiMap backed by a pair of JDK HashMaps, which have smartness
 * protecting against hash flooding.
 */
@GwtCompatible(emulated = true)
@ElementTypesAreNonnullByDefault