assertEquals(expected, BigIntegerMath.binomial(n, k));
      }
    }
  }

  public void testBinomialOutside() {
    for (int i = 0; i <= 50; i++) {
      int n = i;
      assertThrows(IllegalArgumentException.class, () -> BigIntegerMath.binomial(n, -1));
      assertThrows(IllegalArgumentException.class, () -> BigIntegerMath.binomial(n, n + 1));
    }
  }

  @J2ktIncompatible

  };

  /**
   * Returns {@code n} choose {@code k}, also known as the binomial coefficient of {@code n} and
   * {@code k}, or {@link Long#MAX_VALUE} if the result does not fit in a {@code long}.
   *
   * @throws IllegalArgumentException if {@code n < 0}, {@code k < 0}, or {@code k > n}
   */
  public static long binomial(int n, int k) {
    checkNonNegative("n", n);
    checkNonNegative("k", k);

    *   Add a new "result_type" parameter to `tf.strings.split`.
    *   Add name argument to `tf.string_split` and `tf.strings_split`.
    *   Extend `tf.strings.split` to support inputs with any rank.
    *   Added `tf.random.binomial`.
    *   Added `key` and `skip` methods to `random.experimental.Generator`.
    *   Extend `tf.function` with basic support for CompositeTensors arguments
        (such as `SparseTensor` and `RaggedTensor`).