private static final int NUM_PUTS = 100_000;
  private static final ThreadLocal<Random> random =
      new ThreadLocal<Random>() {
        @Override
        protected Random initialValue() {
          return new Random();
        }
      };

  private static final int GOLDEN_PRESENT_KEY = random.get().nextInt();

  @AndroidIncompatible // OutOfMemoryError

        }
      }
    },
    RANDOM {
      @Override
      void arrange(List<Integer> list) {}
    };

    abstract void arrange(List<Integer> list);
  }

  private ImmutableList<Integer> input;

  @BeforeExperiment
  void setUp() {
    checkArgument(size > 0, "empty collection not supported");
    Set<Integer> set = new LinkedHashSet<>(size);

    Random random = new Random();

      String unused = interner.intern(Double.toHexString(Math.random()));
    }
    return reps;
  }

  @CanIgnoreReturnValue
  @Benchmark
  int strongInterner(int reps) {
    Interner<String> interner = Interners.newStrongInterner();
    for (int i = 0; i < reps; i++) {
      String unused = interner.intern(Double.toHexString(Math.random()));
    }
    return reps;
  }

  @CanIgnoreReturnValue

import com.google.caliper.Benchmark;
import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/**
 * Benchmarks for certain methods of {@code UnsignedLongs}.
 *
 * @author Eamonn McManus
 */
@NullUnmarked
public class UnsignedLongsBenchmark {
  private static final int ARRAY_SIZE = 0x10000;
  private static final int ARRAY_MASK = 0x0ffff;
  private static final Random randomSource = new Random(314159265358979L);

import java.math.BigInteger;
import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */

Você pode utilizar `Security` para declarar dependências (assim como `Depends`), porém o `Security` também recebe o parâmetro `scopes` com uma lista de escopos (strings).

Neste caso, nós passamos a função `get_current_active_user` como dependência para `Security` (da mesma forma que nós faríamos com `Depends`).

Mas nós também passamos uma `list` de escopos, neste caso com apenas um escopo: `items` (poderia ter mais).

  @BeforeExperiment
  void setUp() {
    Random random = new Random(randomSeed);
    xInts = new int[SAMPLE_SIZE];
    yInts = new int[SAMPLE_SIZE];
    xLongs = new long[SAMPLE_SIZE];
    yLongs = new long[SAMPLE_SIZE];
    constant = new int[SAMPLE_SIZE];
    for (int i = 0; i < SAMPLE_SIZE; i++) {
      xInts[i] = random.nextInt(Integer.MAX_VALUE);
      yInts[i] = random.nextInt(Integer.MAX_VALUE);

  }

  private static final Random random = new Random(42);

  public void testLength() {
    assertThat(ImmutableLongArray.of().length()).isEqualTo(0);
    assertThat(ImmutableLongArray.of(0).length()).isEqualTo(1);
    assertThat(ImmutableLongArray.of(0, 1, 3).length()).isEqualTo(3);
    assertThat(ImmutableLongArray.of(0, 1, 3).subArray(1, 1).length()).isEqualTo(0);

  private final SpecialRandom random;
  private final double hitRate;
  private final int size;

  private final Set<Element> valuesInSet;
  private final Element[] queries;

  CollectionBenchmarkSampleData(int size) {
    this(true, new SpecialRandom(), 1.0, size);
  }

  CollectionBenchmarkSampleData(
      boolean isUserTypeFast, SpecialRandom random, double hitRate, int size) {

    }

    private static final byte[] DEFAULT_ADDRESS = new byte[] { (byte) 127, (byte) 0, (byte) 0, (byte) 1 };

    private static final SecureRandom RANDOM = new SecureRandom();

    private static final String BASE = StringUtil.toHex(getAddress()) + StringUtil.toHex(System.identityHashCode(RANDOM));

    /**
     * Creates a UUID.
     *
     * @return the UUID string
     */
    public static String create() {