mpq types support arbitrary precision integers and rationals
via the GMP library. These types should be drop-in replacements for Python’s
Fraction’s, but are significantly faster for large
values. The cutover point for performance varies, but can be as low as 20 to
40 digits. All the special integer functions in the GMP are supported.
mpc types provide support for correctly rounded multiple
precision real and complex arithmetic via the MPFR and MPC libraries. The
context type is used to control precision, rounding modes, and exceptional
conditions. For example, division by zero can either return an Infinity or
raise an exception. It is possible to specify different precision and rounding
modes for both the real and imaginary components of an
mpc. The default
precision is 53 bits — just same as for Python’s
Operator overloading is fully supported. Coversion from native Python types is optimized for performance.