abs(x) Returns the absolute value of x.

add(x, y) Return the sum of x and y.

random.betavariate(alpha, beta) Beta distribution. Conditions on the parameters are alpha > 0 and beta

subtract(x, y) Return the difference between x and y.

math.factorial(x) Return x factorial. Raises

random.getstate() Return an object capturing the current internal state of the generator. This object can be passed to setstate()

random.expovariate(lambd) Exponential distribution. lambd is 1.0 divided by the desired mean. It should be nonzero

sqrt(context=None) Return the square root of the argument to full precision.

radix() Just returns 10, as this is Decimal, :)

cmath.acos(x) Return the arc cosine of x. There are two branch cuts: One extends right from 1 along the real axis to