public <N1 extends Number, N2 extends Number, N11 extends N1>
      void testisSupertypeOf_equalWildcardTypes() {
    assertAssignable(
        new TypeToken<List<? extends N1>>() {}, new TypeToken<List<? extends N1>>() {});
    assertAssignable(new TypeToken<List<? super N1>>() {}, new TypeToken<List<? super N1>>() {});
    assertAssignable(
        new TypeToken<List<? extends Number>>() {}, new TypeToken<List<? extends Number>>() {});

   * 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>

  public <N1 extends Number, N2 extends Number, N11 extends N1>
      void testisSupertypeOf_equalWildcardTypes() {
    assertAssignable(
        new TypeToken<List<? extends N1>>() {}, new TypeToken<List<? extends N1>>() {});
    assertAssignable(new TypeToken<List<? super N1>>() {}, new TypeToken<List<? super N1>>() {});
    assertAssignable(
        new TypeToken<List<? extends Number>>() {}, new TypeToken<List<? extends Number>>() {});

  /**
   * 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

    Ordering<Number> numbers = Ordering.explicit((Number) 1);
    Ordering<Integer> integers = Ordering.explicit(1);

    // Like by like equals like
    Ordering<Number> unusedA = numbers.compound(numbers);

    // The compound takes the more specific type of the two, regardless of order

    Ordering<Number> unusedB = numbers.compound(objects);
    Ordering<Number> unusedC = objects.compound(numbers);

    Ordering<Number> numbers = Ordering.explicit((Number) 1);
    Ordering<Integer> integers = Ordering.explicit(1);

    // Like by like equals like
    Ordering<Number> unusedA = numbers.compound(numbers);

    // The compound takes the more specific type of the two, regardless of order

    Ordering<Number> unusedB = numbers.compound(objects);
    Ordering<Number> unusedC = objects.compound(numbers);

    }
  }

  /**
   * 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