* This parameter is only used for benchmarking purposes.
     */
    public boolean isInvalidateCoupledProjects() {
        return invalidateCoupledProjects;
    }

    /**
     * Should model dependencies between projects be treated as project dependencies with respect to invalidation?
     * <p>
     * This parameter is only used for benchmarking purposes.
     */

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package internal

// If IgnorePC is true, do not invoke runtime.Callers to get the pc.
// This is solely for benchmarking the slowdown from runtime.Callers.

// highPrecisionTime represents a single point in time.
// On all systems except Windows, using time.Time is fine.
type highPrecisionTime struct {
	now time.Time
}

// highPrecisionTimeNow returns high precision time for benchmarking.
func highPrecisionTimeNow() highPrecisionTime {
	return highPrecisionTime{now: time.Now()}
}

// highPrecisionTimeSince returns duration since b.
func highPrecisionTimeSince(b highPrecisionTime) time.Duration {

	_ "github.com/golangci/golangci-lint/cmd/golangci-lint"
	_ "github.com/jcchavezs/porto/cmd/porto"
	_ "honnef.co/go/tools/cmd/staticcheck"
	_ "sigs.k8s.io/logtools/logcheck"

	// benchmarking tools
	_ "github.com/cespare/prettybench"
	_ "gotest.tools/gotestsum"

	// mockgen
	_ "go.uber.org/mock/mockgen"

	// tools like cpu
	_ "go.uber.org/automaxprocs"

//
// TODO: If Windows runtime implements high resolution timing then highPrecisionTime
// can be removed.
type highPrecisionTime struct {
	now int64
}

// highPrecisionTimeNow returns high precision time for benchmarking.
func highPrecisionTimeNow() highPrecisionTime {
	var t highPrecisionTime
	// This should always succeed for Windows XP and above.
	t.now = windows.QueryPerformanceCounter()
	return t
}

// Generated by the tf_library build rule.  DO NOT EDIT!
//
// This file contains the main function and logic for benchmarking code
// generated by tfcompile.  All tokens of the form `{{TFCOMPILE_*}}` must be
// rewritten to real values before this file can be compiled.
//
//    TFCOMPILE_HEADER    : Path to the header file generated by tfcompile.
//    TFCOMPILE_CPP_CLASS : Name of the C++ class generated by tfcompile.
//

//	  bar()
//	}
//
// Note that a nil Metrics object won't cause any errors, so one could write
// code like:
//
//	func main() {
//	  enableBenchmarking := flag.Bool("enable", true, "enables benchmarking")
//	  flag.Parse()
//	  var bench *benchmark.Metrics
//	  if *enableBenchmarking {
//	    bench = benchmark.New(benchmark.GC)
//	  }
//	  bench.Start("foo")
//	  // etc.
//	}

  // tensorflow.
  void Prepare(llvm::StringRef mlir_input);

  // Execute() can be called several times after the call to Prepare() (e.g. for
  // benchmarking).
  llvm::SmallVector<Tensor> Execute(llvm::StringRef function_name,
                                    llvm::ArrayRef<Tensor> arguments);

 private:
  void RunTfrtInitializer();

import java.util.Collections;
import java.util.List;
import java.util.Set;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Package up sample data for common collections benchmarking.
 *
 * @author Nicholaus Shupe
 */
class CollectionBenchmarkSampleData {
  private final boolean isUserTypeFast;
  private final SpecialRandom random;
  private final double hitRate;
  private final int size;

	m map[K]V       // for many pairs
}

type entry[K comparable, V any] struct {
	key   K
	value V
}

// maxSlice is the maximum number of pairs for which a slice is used.
// It is a variable for benchmarking.
var maxSlice int = 8

// add adds a key-value pair to the mapping.
func (h *mapping[K, V]) add(k K, v V) {
	if h.m == nil && len(h.s) < maxSlice {
		h.s = append(h.s, entry[K, V]{k, v})
	} else {