// md5sum of the data to written is required as input for PutObject.

	md5hex := getMD5Hash(textData)
	sha256hex := ""

	// benchmark utility which helps obtain number of allocations and bytes allocated per ops.
	b.ReportAllocs()
	// the actual benchmark for PutObject starts here. Reset the benchmark timer.
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		// insert the object.

    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(1, 2, dataset(i));
    }
    return dummy;
  }

  @Benchmark
  double percentile90(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {

    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(1, 2, dataset(i));
    }
    return dummy;
  }

  @Benchmark
  double percentile90(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {

  }

  // CRC32C

  @Benchmark
  byte crc32cHashFunction(int reps) {
    return runHashFunction(reps, Hashing.crc32c());
  }

  // Adler32

  @Benchmark
  byte adler32HashFunction(int reps) {
    return runHashFunction(reps, Hashing.adler32());
  }

  @Benchmark
  byte adler32Checksum(int reps) throws Exception {
    byte result = 0x01;
    for (int i = 0; i < reps; i++) {

  }

  // CRC32C

  @Benchmark
  byte crc32cHashFunction(int reps) {
    return runHashFunction(reps, Hashing.crc32c());
  }

  // Adler32

  @Benchmark
  byte adler32HashFunction(int reps) {
    return runHashFunction(reps, Hashing.adler32());
  }

  @Benchmark
  byte adler32Checksum(int reps) throws Exception {
    byte result = 0x01;
    for (int i = 0; i < reps; i++) {

    for (int i = 0; i < size; i++) {
      queue.add(random.nextInt());
    }
  }

  @Benchmark
  void pollAndAdd(int reps) {
    for (int i = 0; i < reps; i++) {
      // TODO(kevinb): precompute random #s?
      queue.add(queue.poll() ^ random.nextInt());
    }
  }

  @Benchmark
  void populate(int reps) {
    for (int i = 0; i < reps; i++) {
      queue.clear();

    cacheNoStats.put(TEST_KEY, TEST_VALUE);
  }

  @Benchmark
  void concurrentHashMap(int rep) {
    for (int i = 0; i < rep; i++) {
      map.get(TEST_KEY);
    }
  }

  @Benchmark
  void cacheBuilder_stats(int rep) {
    for (int i = 0; i < rep; i++) {
      cache.getIfPresent(TEST_KEY);
    }
  }

  @Benchmark
  void cacheBuilder(int rep) {
    for (int i = 0; i < rep; i++) {

    }
    this.mapToTest = impl.create(values);
    this.queries = sampleData.getQueries();
  }

  @Benchmark
  boolean get(int reps) {
    // Paranoia: acting on hearsay that accessing fields might be slow
    // Should write a benchmark to test that!
    Map<Element, Element> map = mapToTest;
    Element[] queries = this.queries;

 */

package com.google.common.cache;

import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import com.google.common.cache.LocalCache.Segment;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Benchmark for {@code LocalCache.Segment.removeEntryFromChain}.
 *
 * @author Charles Fry
 */
@SuppressWarnings("CheckReturnValue")

 * limitations under the License.
 */

package com.google.common.collect;

import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import com.google.caliper.api.SkipThisScenarioException;
import java.util.Random;

/** A benchmark that tries invoking {@code Set.contains} on many different sets. */
public class MultipleSetContainsBenchmark {

  @Param({"0.0", "0.1", "0.7", "1.0"})