}
	}
}

// Benchmarks for ObjectLayer.PutObject().
// The intent is to benchmark PutObject for various sizes ranging from few bytes to 100MB.
// Also each of these Benchmarks are run both Erasure and FS backends.

// BenchmarkPutObjectVerySmallFS - Benchmark FS.PutObject() for object size of 10 bytes.
func BenchmarkPutObjectVerySmallFS(b *testing.B) {

import static java.util.concurrent.TimeUnit.SECONDS;

import com.google.caliper.AfterExperiment;
import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import com.google.caliper.api.Footprint;
import com.google.caliper.api.VmOptions;
import com.google.common.base.Preconditions;

  @ParametricNullness
  static <V extends @Nullable Object, X extends Exception> V getChecked(
      Future<V> future, Class<X> exceptionClass, long timeout, TimeUnit unit) throws X {
    // TODO(cpovirk): benchmark a version of this method that accepts a GetCheckedTypeValidator
    bestGetCheckedTypeValidator().validateClass(exceptionClass);
    try {
      return future.get(timeout, unit);
    } catch (InterruptedException e) {

  @ParametricNullness
  static <V extends @Nullable Object, X extends Exception> V getChecked(
      Future<V> future, Class<X> exceptionClass, long timeout, TimeUnit unit) throws X {
    // TODO(cpovirk): benchmark a version of this method that accepts a GetCheckedTypeValidator
    bestGetCheckedTypeValidator().validateClass(exceptionClass);
    try {
      return future.get(timeout, unit);
    } catch (InterruptedException e) {

		}
	}
	return path.Join(elem...) + trailingSlash
}

func concatNaive(ss ...string) string {
	rs := ss[0]
	for i := 1; i < len(ss); i++ {
		rs += ss[i]
	}
	return rs
}

func benchmark(b *testing.B, data []string) {
	b.Run("concat naive", func(b *testing.B) {
		b.ResetTimer()
		b.ReportAllocs()
		for b.Loop() {
			concatNaive(data...)
		}
	})
	b.Run("concat fast", func(b *testing.B) {

    checkNotNull(list);
    checkNotNull(presentBehavior);
    checkNotNull(absentBehavior);
    if (!(list instanceof RandomAccess)) {
      list = new ArrayList<>(list);
    }
    // TODO(lowasser): benchmark when it's best to do a linear search

    int lower = 0;
    int upper = list.size() - 1;

    while (lower <= upper) {
      int middle = (lower + upper) >>> 1;

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.base;

import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import org.jspecify.annotations.NullUnmarked;

// provide any API to calculate the profiler file path in the
// disk since the name of this latter is randomly generated.
type profilerWrapper struct {
	// Profile recorded at start of benchmark.
	records map[string][]byte
	stopFn  func() ([]byte, error)
	ext     string
}

// record will record the profile and store it as the base.

    * test molto facili basati su `requests` e `pytest`
    * **CORS**
    * **Cookie Sessions**
    * ...e altro ancora.

## Prestazioni

   * world. Figure out what sort of space-time tradeoff we're actually going to get here with the
   * *Map variants. This class is particularly hard to benchmark, because the benefit is not only in
   * less allocation, but also having the GC do less work to scan the heap because of fewer
   * references, which is particularly hard to quantify.
   */