Vous pouvez utiliser des outils simples comme `htop` pour voir le CPU et la RAM utilisés sur votre serveur ou la quantité utilisée par chaque processus. Ou vous pouvez utiliser des outils de supervision plus complexes, éventuellement distribués sur plusieurs serveurs, etc.

 */

package com.google.common.base;

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

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

name: Bug Report
description: File a bug report
labels: ["bug"]

body:
  - type: markdown
    attributes:
      value: |
        Thanks for taking the time to fill out this bug report.     

        Simple fixes in single PRs do not require issues. 
  
        **Do you use the latest project version?**

  - type: input
    id: version
    attributes:
      label: Affected version
    validations:

    }

    @Override
    public TestSubjectGenerator<?> getInnerGenerator() {
      return multimapGenerator;
    }

    @Override
    public SampleElements<Entry<K, V>> samples() {
      return multimapGenerator.samples();
    }

    @Override
    public Collection<Entry<K, V>> create(Object... elements) {
      return multimapGenerator.create(elements).entries();
    }

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

#
# Simple shell script for launching CI jobs using the @bot-gradle GitHub comment listener.
# Uses the [hub](https://hub.github.com/) CLI command to issue API requests to GitHub.

limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_EAGER_CUSTOM_DEVICE_TESTUTIL_H_
#define TENSORFLOW_C_EAGER_CUSTOM_DEVICE_TESTUTIL_H_

// A simple logging device to test custom device registration.
#include <memory>

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"

      return (T) in.readObject();
    } catch (IOException | ClassNotFoundException e) {
      throw new AssertionError(e);
    }
  }

  @Override
  public SampleElements<E> samples() {
    return delegate.samples();
  }

  @Override
  public E[] createArray(int length) {
    return delegate.createArray(length);
  }

  @Override
  public Iterable<E> order(List<E> insertionOrder) {

import org.apache.maven.slf4j.MavenLoggerFactory;
import org.slf4j.ILoggerFactory;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * Configuration for slf4j-simple.
 *
 * @since 3.1.0
 */
public class MavenSimpleConfiguration extends BaseSlf4jConfiguration {
    private static final Logger LOGGER = LoggerFactory.getLogger(MavenSimpleConfiguration.class);

    @Override

// Inspired from Golang sync.Once but it is only marked
// initialized when the provided function returns nil.

// Init represents the structure.
type Init struct {
	done uint32
	m    sync.Mutex
}

// Do is similar to sync.Once.Do - makes one successful
// call to the function. ie, it invokes the function
// if it is not successful yet.
func (l *Init) Do(f func() error) error {
	if atomic.LoadUint32(&l.done) == 0 {
		return l.do(f)

package com.google.common.testing;

import com.google.common.annotations.GwtCompatible;
import java.util.logging.Level;
import java.util.logging.Logger;
import org.jspecify.annotations.NullMarked;

/**
 * Simple utility for when you want to create a {@link TearDown} that may throw an exception but
 * should not fail a test when it does. (The behavior of a {@code TearDown} that throws an exception