assertFalse(enumer.hasMoreElements());
    assertThrows(NoSuchElementException.class, () -> enumer.nextElement());
  }

  public void testAsEnumerationSingleton() {
    Iterator<Integer> iter = ImmutableList.of(1).iterator();
    Enumeration<Integer> enumer = Iterators.asEnumeration(iter);

    assertTrue(enumer.hasMoreElements());
    assertTrue(enumer.hasMoreElements());
    assertEquals(1, (int) enumer.nextElement());

    assertFalse(enumer.hasMoreElements());
    assertThrows(NoSuchElementException.class, () -> enumer.nextElement());
  }

  public void testAsEnumerationSingleton() {
    Iterator<Integer> iter = ImmutableList.of(1).iterator();
    Enumeration<Integer> enumer = Iterators.asEnumeration(iter);

    assertTrue(enumer.hasMoreElements());
    assertTrue(enumer.hasMoreElements());
    assertEquals(1, (int) enumer.nextElement());

  /**
   * Computes the optimal k (number of hashes per element inserted in Bloom filter), given the
   * expected insertions and total number of bits in the Bloom filter.
   *
   * <p>See http://en.wikipedia.org/wiki/File:Bloom_filter_fp_probability.svg for the formula.
   *
   * @param n expected insertions (must be positive)
   * @param m total number of bits in Bloom filter (must be positive)
   */

            
            - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.12`
            - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.11`
            - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.10`
            - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.9`
            

                          number:
                            maximum: 65535
                            minimum: 1
                            type: integer
                        required:
                        - number
                        type: object
                      type: array
                      x-kubernetes-list-map-keys:
                      - number
                      x-kubernetes-list-type: map

   * Optional<Number>} (where {@code Number} is the desired output type) solves the problem:
   *
   * <pre>{@code
   * Optional<Number> optionalInt = (Optional) getSomeOptionalInt();
   * Number value = optionalInt.or(0.5); // fine
   *
   * FluentIterable<? extends Number> numbers = getSomeNumbers();
   * Optional<Number> first = (Optional) numbers.first();
   * Number value = first.or(0.5); // fine
   * }</pre>

    }
  }

  /**
   * Removes a number of occurrences of the specified element from this multiset. If the multiset
   * contains fewer than this number of occurrences to begin with, all occurrences will be removed.
   *
   * @param element the element whose occurrences should be removed
   * @param occurrences the number of occurrences of the element to remove

   * hexadecimal number in lower case.
   *
   * <p>Note that if the output is considered to be a single hexadecimal number, whether this string
   * is big-endian or little-endian depends on the byte order of {@link #asBytes}. This may be
   * surprising for implementations of {@code HashCode} that represent the number in big-endian

   * hexadecimal number in lower case.
   *
   * <p>Note that if the output is considered to be a single hexadecimal number, whether this string
   * is big-endian or little-endian depends on the byte order of {@link #asBytes}. This may be
   * surprising for implementations of {@code HashCode} that represent the number in big-endian

        if (field == null) {
            return null;
        }
        if (clazz.equals(Integer.class)) {
            final Number value = (Number) field;
            return (T) Integer.valueOf(value.intValue());
        }
        if (clazz.equals(Long.class)) {
            final Number value = (Number) field;
            return (T) Long.valueOf(value.longValue());
        }
        return (T) field;
    }