Added more documentation on how mixed-mode arithmetic should be implemented. I

also noticed and fixed a bug in Rational's forward operators (they were
claiming all instances of numbers.Rational instead of just the concrete types).
This commit is contained in:
Jeffrey Yasskin 2008-01-31 07:44:11 +00:00
parent e973c61238
commit b23dea6adb
3 changed files with 222 additions and 13 deletions

View file

@ -179,16 +179,6 @@ class Rational(RationalAbc):
else:
return '%s/%s' % (self.numerator, self.denominator)
""" XXX This section needs a lot more commentary
* Explain the typical sequence of checks, calls, and fallbacks.
* Explain the subtle reasons why this logic was needed.
* It is not clear how common cases are handled (for example, how
does the ratio of two huge integers get converted to a float
without overflowing the long-->float conversion.
"""
def _operator_fallbacks(monomorphic_operator, fallback_operator):
"""Generates forward and reverse operators given a purely-rational
operator and a function from the operator module.
@ -196,10 +186,82 @@ class Rational(RationalAbc):
Use this like:
__op__, __rop__ = _operator_fallbacks(just_rational_op, operator.op)
In general, we want to implement the arithmetic operations so
that mixed-mode operations either call an implementation whose
author knew about the types of both arguments, or convert both
to the nearest built in type and do the operation there. In
Rational, that means that we define __add__ and __radd__ as:
def __add__(self, other):
if isinstance(other, (int, long, Rational)):
# Do the real operation.
return Rational(self.numerator * other.denominator +
other.numerator * self.denominator,
self.denominator * other.denominator)
# float and complex don't follow this protocol, and
# Rational knows about them, so special case them.
elif isinstance(other, float):
return float(self) + other
elif isinstance(other, complex):
return complex(self) + other
else:
# Let the other type take over.
return NotImplemented
def __radd__(self, other):
# radd handles more types than add because there's
# nothing left to fall back to.
if isinstance(other, RationalAbc):
return Rational(self.numerator * other.denominator +
other.numerator * self.denominator,
self.denominator * other.denominator)
elif isinstance(other, Real):
return float(other) + float(self)
elif isinstance(other, Complex):
return complex(other) + complex(self)
else:
return NotImplemented
There are 5 different cases for a mixed-type addition on
Rational. I'll refer to all of the above code that doesn't
refer to Rational, float, or complex as "boilerplate". 'r'
will be an instance of Rational, which is a subtype of
RationalAbc (r : Rational <: RationalAbc), and b : B <:
Complex. The first three involve 'r + b':
1. If B <: Rational, int, float, or complex, we handle
that specially, and all is well.
2. If Rational falls back to the boilerplate code, and it
were to return a value from __add__, we'd miss the
possibility that B defines a more intelligent __radd__,
so the boilerplate should return NotImplemented from
__add__. In particular, we don't handle RationalAbc
here, even though we could get an exact answer, in case
the other type wants to do something special.
3. If B <: Rational, Python tries B.__radd__ before
Rational.__add__. This is ok, because it was
implemented with knowledge of Rational, so it can
handle those instances before delegating to Real or
Complex.
The next two situations describe 'b + r'. We assume that b
didn't know about Rational in its implementation, and that it
uses similar boilerplate code:
4. If B <: RationalAbc, then __radd_ converts both to the
builtin rational type (hey look, that's us) and
proceeds.
5. Otherwise, __radd__ tries to find the nearest common
base ABC, and fall back to its builtin type. Since this
class doesn't subclass a concrete type, there's no
implementation to fall back to, so we need to try as
hard as possible to return an actual value, or the user
will get a TypeError.
"""
def forward(a, b):
if isinstance(b, RationalAbc):
# Includes ints.
if isinstance(b, (int, long, Rational)):
return monomorphic_operator(a, b)
elif isinstance(b, float):
return fallback_operator(float(a), b)