public void cancel(boolean mayInterruptIfRunning) {
        /*
         * Lock to ensure that a task cannot be rescheduled while a cancel is ongoing.
         *
         * In theory, cancel() could execute arbitrary listeners -- bad to do while holding a lock.
         * However, we don't expose currentFuture to users, so they can't attach listeners. And the

		16: {bucketName: bucket, objName: object, inputData: fiveMBBytes, inputDataSize: int64(len(fiveMBBytes)), expectedMd5: getMD5Hash(fiveMBBytes)},

		// With arbitrary metadata
		17: {bucketName: bucket, objName: object, inputData: data, inputMeta: map[string]string{"answer": "42"}, inputDataSize: int64(len(data)), expectedMd5: getMD5Hash(data)},

import java.util.concurrent.locks.ReentrantLock;
import java.util.function.BooleanSupplier;
import org.jspecify.annotations.Nullable;

/**
 * A synchronization abstraction supporting waiting on arbitrary boolean conditions.
 *
 * <p>This class is intended as a replacement for {@link ReentrantLock}. Code using {@code Monitor}
 * is less error-prone and more readable than code using {@code ReentrantLock}, without significant

    server.enqueue(
      MockResponse
        .Builder()
        .onRequestBody(CloseSocket())
        .build(),
    )
    // Limit the size of the request body that the server holds in memory to an arbitrary
    // 3.5 MBytes so this test can pass on devices with little memory.
    server.bodyLimit = 7 * 512 * 1024
    val connection = server.url("/").toUrl().openConnection() as HttpURLConnection

Você poderia colocar um **número arbitrário** para atingir, por exemplo, algo **entre 50% a 90%** da utilização de recursos. O ponto é que essas são provavelmente as principais coisas que você vai querer medir e usar para ajustar suas implantações.

   *
   * <p>The returned iterable's iterator supports {@code remove()} when the corresponding input
   * iterator supports it.
   *
   * <p><b>{@code Stream} equivalent:</b> to concatenate an arbitrary number of streams, use {@code
   * Stream.of(stream1, stream2, ...).flatMap(s -> s)}. If the sources are iterables, use {@code
   * Stream.of(iter1, iter2, ...).flatMap(Streams::stream)}.
   *

   *
   * <p>The returned iterable's iterator supports {@code remove()} when the corresponding input
   * iterator supports it.
   *
   * <p><b>{@code Stream} equivalent:</b> to concatenate an arbitrary number of streams, use {@code
   * Stream.of(stream1, stream2, ...).flatMap(s -> s)}. If the sources are iterables, use {@code
   * Stream.of(iter1, iter2, ...).flatMap(Streams::stream)}.
   *

    @GwtIncompatible @J2ktIncompatible private static final long serialVersionUID = 0;
  }

  /**
   * Creates a new {@code ListMultimap} that uses the provided map and factory. It can generate a
   * multimap based on arbitrary {@link Map} and {@link List} classes. Most users should prefer
   * {@link MultimapBuilder}, though a small number of users will need this method to cover map or
   * collection types that {@link MultimapBuilder} does not support.

    @GwtIncompatible @J2ktIncompatible private static final long serialVersionUID = 0;
  }

  /**
   * Creates a new {@code ListMultimap} that uses the provided map and factory. It can generate a
   * multimap based on arbitrary {@link Map} and {@link List} classes. Most users should prefer
   * {@link MultimapBuilder}, though a small number of users will need this method to cover map or
   * collection types that {@link MultimapBuilder} does not support.

      public void cancel(boolean mayInterruptIfRunning) {
        /*
         * Lock to ensure that a task cannot be rescheduled while a cancel is ongoing.
         *
         * In theory, cancel() could execute arbitrary listeners -- bad to do while holding a lock.
         * However, we don't expose currentFuture to users, so they can't attach listeners. And the