// 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.

	for i := 0; b.Loop(); i++ {
		// insert the object.
		objInfo, err := obj.PutObject(b.Context(), bucket, "object"+strconv.Itoa(i),

    }
    return dummy;
  }

  @Benchmark
  boolean equalsIgnoreCaseJDK(int reps) {
    // This benchmark has no concept of "noWorkToDo".
    String lhs = testString;
    String rhs = testString.toUpperCase();

    boolean dummy = false;
    for (int i = 0; i < reps; i++) {
      dummy ^= lhs.equalsIgnoreCase(rhs);
    }
    return dummy;
  }

  @Benchmark
  boolean isUpperCase(int reps) {

      constant[i] = random.nextInt();
    }
  }

  @Benchmark
  int branchFreeLtIntInlined(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & SAMPLE_MASK;
      int x = xInts[j];
      int y = yInts[j];
      int z = constant[j];
      tmp += z + ((x - y) >>> (Integer.SIZE - 1));
    }
    return tmp;
  }

  @Benchmark
  int branchFreeLtInt(int reps) {
    int tmp = 0;

      ints[i] = RANDOM_SOURCE.nextInt();
    }
  }

  @Benchmark
  int pow(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += IntMath.pow(positive[j], exponent[j]);
    }
    return tmp;
  }

  @Benchmark
  int mod(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

    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++) {

      ints[i] = RANDOM_SOURCE.nextInt();
    }
  }

  @Benchmark
  int pow(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += IntMath.pow(positive[j], exponent[j]);
    }
    return tmp;
  }

  @Benchmark
  int mod(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

  }

  /** {@link Joiner} with a string delimiter. */
  @Benchmark
  int joinerWithStringDelimiter(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy ^= JOINER_ON_STRING.join(components).length();
    }
    return dummy;
  }

  /** {@link Joiner} with a character delimiter. */
  @Benchmark
  int joinerWithCharacterDelimiter(int reps) {
    int dummy = 0;

  }

  @Benchmark
  int hashString_4(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy += Objects.hashCode(S0, S1, S2, S3);
    }
    return dummy;
  }

  @Benchmark
  int hashString_5(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy += Objects.hashCode(S0, S1, S2, S3, S4);
    }
    return dummy;
  }

  @Benchmark

import com.google.caliper.Benchmark;
import org.jspecify.annotations.NullUnmarked;

/**
 * Simple benchmark: create, start, read. This does not currently report the most useful result
 * because it's ambiguous to what extent the stopwatch benchmark is being affected by GC.
 *
 * @author Kevin Bourrillion
 */
@NullUnmarked
public class StopwatchBenchmark {
  @Benchmark
  long stopwatch(int reps) {