Optional<Integer> optionalInt = getSomeOptionalInt();
    // Number value = optionalInt.or(0.5); // error
  }

  @SuppressWarnings("unused") // compilation test
  public void testSampleCodeError2() {
    FluentIterable<? extends Number> numbers = getSomeNumbers();
    Optional<? extends Number> first = numbers.first();
    // Number value = first.or(0.5); // error
  }

  @SuppressWarnings("unused") // compilation test

    Enumeration<Integer> enumer = Iterators.asEnumeration(iter);

    assertTrue(enumer.hasMoreElements());
    assertEquals(1, (int) enumer.nextElement());
    assertTrue(enumer.hasMoreElements());
    assertEquals(2, (int) enumer.nextElement());
    assertTrue(enumer.hasMoreElements());
    assertEquals(3, (int) enumer.nextElement());
    assertFalse(enumer.hasMoreElements());
  }

  }

  /**
   * Constructs an empty {@code LinkedHashMultimap} with enough capacity to hold the specified
   * numbers of keys and values without rehashing.
   *
   * @param expectedKeys the expected number of distinct keys
   * @param expectedValuesPerKey the expected average number of values per key
   * @throws IllegalArgumentException if {@code expectedKeys} or {@code expectedValuesPerKey} is
   *     negative
   */

   *
   * <ul>
   *   <li>You want to assign the same fraction of inputs to each bucket.
   *   <li>When you reduce the number of buckets, you can accept that the most recently added
   *       buckets will be removed first. More concretely, if you are dividing traffic among tasks,
   *       you can decrease the number of tasks from 15 and 10, killing off the final 5 tasks, and

import javax.annotation.CheckForNull;

/**
 * Implementation detail for the internal structure of {@link Range} instances. Represents a unique
 * way of "cutting" a "number line" (actually of instances of type {@code C}, not necessarily
 * "numbers") into two sections; this can be done below a certain value, above a certain value,
 * below all values or above all values. With this object defined in this way, an interval can

  }

  public void testEmpty() {
    assertEquals(0, ImmutableTypeToInstanceMap.of().size());
  }

  public void testPrimitiveAndWrapper() {
    ImmutableTypeToInstanceMap<Number> map =
        ImmutableTypeToInstanceMap.<Number>builder()
            .put(Integer.class, 0)
            .put(int.class, 1)
            .build();
    assertEquals(2, map.size());

    assertEquals(0, (int) map.getInstance(Integer.class));

 *       scalability or other performance factors (see the separate "jtreg" tests for a set intended
 *       to check these for the most central aspects of functionality.) So, most tests use the
 *       smallest sensible numbers of threads, collection sizes, etc needed to check basic
 *       conformance.
 *   <li>The test classes currently do not declare inclusion in any particular package to simplify

        Long.MAX_VALUE
      };

  private static final float[] VALUES = Floats.concat(NUMBERS, new float[] {NaN});

  public void testHashCode() {
    for (float value : VALUES) {
      assertThat(Floats.hashCode(value)).isEqualTo(((Float) value).hashCode());
    }
  }

  public void testIsFinite() {
    for (float value : NUMBERS) {
      assertThat(Floats.isFinite(value))

      this.size = calculateSize(inputList, comparator);
    }

    /**
     * The number of permutations with repeated elements is calculated as follows:
     *
     * <ul>
     *   <li>For an empty list, it is 1 (base case).
     *   <li>When r numbers are added to a list of n-r elements, the number of permutations is
     *       increased by a factor of (n choose r).
     * </ul>
     */

   * sets ("constant sets"), with a given comparator. Example:
   *
   * <pre>{@code
   * public static final ImmutableSortedSet<Number> LUCKY_NUMBERS =
   *     new ImmutableSortedSet.Builder<Number>(ODDS_FIRST_COMPARATOR)
   *         .addAll(SINGLE_DIGIT_PRIMES)
   *         .add(42)
   *         .build();
   * }</pre>
   *