PEP 207 – Rich Comparisons
- Guido van Rossum <guido at python.org>, David Ascher <DavidA at ActiveState.com>
- Standards Track
This PEP proposes several new features for comparisons:
- Allow separately overloading of <, >, <=, >=, ==, !=, both in classes and in C extensions.
- Allow any of those overloaded operators to return something else besides a Boolean result.
The main motivation comes from NumPy, whose users agree that A<B should return an array of elementwise comparison outcomes; they currently have to spell this as less(A,B) because A<B can only return a Boolean result or raise an exception.
An additional motivation is that frequently, types don’t have a natural ordering, but still need to be compared for equality. Currently such a type must implement comparison and thus define an arbitrary ordering, just so that equality can be tested.
Also, for some object types an equality test can be implemented much more efficiently than an ordering test; for example, lists and dictionaries that differ in length are unequal, but the ordering requires inspecting some (potentially all) items.
Rich Comparisons have been proposed before; in particular by David Ascher, after experience with Numerical Python:
It is also included below as an Appendix. Most of the material in this PEP is derived from David’s proposal.
- Backwards compatibility, both at the Python level (classes using
__cmp__need not be changed) and at the C level (extensions defining
tp_compareaneed not be changed, code using
PyObject_Compare()must work even if the compared objects use the new rich comparison scheme).
- When A<B returns a matrix of elementwise comparisons, an easy mistake to make is to use this expression in a Boolean context. Without special precautions, it would always be true. This use should raise an exception instead.
- If a class overrides x==y but nothing else, should x!=y be computed as not(x==y), or fail? What about the similar relationship between < and >=, or between > and <=?
- Similarly, should we allow x<y to be calculated from y>x? And x<=y from not(x>y)? And x==y from y==x, or x!=y from y!=x?
- When comparison operators return elementwise comparisons, what
to do about shortcut operators like A<B<C,
A<B and C<D,
A<B or C<D?
- What to do about
max(), the ‘in’ and ‘not in’ operators,
list.sort(), dictionary key comparison, and other uses of comparisons by built-in operations?
- Full backwards compatibility can be achieved as follows. When
an object defines
tp_richcompare(), and a rich comparison is requested, the outcome of
tp_compare()is used in the obvious way. E.g. if “<” is requested, an exception if
tp_compare()raises an exception, the outcome is 1 if
tp_compare()is negative, and 0 if it is zero or positive. Etc.
Full forward compatibility can be achieved as follows. When a classic comparison is requested on an object that implements
tp_richcompare(), up to three comparisons are used: first == is tried, and if it returns true, 0 is returned; next, < is tried and if it returns true, -1 is returned; next, > is tried and if it returns true, +1 is returned. If any operator tried returns a non-Boolean value (see below), the exception raised by conversion to Boolean is passed through. If none of the operators tried returns true, the classic comparison fallbacks are tried next.
(I thought long and hard about the order in which the three comparisons should be tried. At one point I had a convincing argument for doing it in this order, based on the behavior of comparisons for cyclical data structures. But since that code has changed again, I’m not so sure that it makes a difference any more.)
- Any type that returns a collection of Booleans instead of a
single boolean should define
nb_nonzero()to raise an exception. Such a type is considered a non-Boolean.
- The == and != operators are not assumed to be each other’s complement (e.g. IEEE 754 floating point numbers do not satisfy this). It is up to the type to implement this if desired. Similar for < and >=, or > and <=; there are lots of examples where these assumptions aren’t true (e.g. tabnanny).
- The reflexivity rules are assumed by Python. Thus, the interpreter may swap y>x with x<y, y>=x with x<=y, and may swap the arguments of x==y and x!=y. (Note: Python currently assumes that x==x is always true and x!=x is never true; this should not be assumed.)
- In the current proposal, when A<B returns an array of elementwise comparisons, this outcome is considered non-Boolean, and its interpretation as Boolean by the shortcut operators raises an exception. David Ascher’s proposal tries to deal with this; I don’t think this is worth the additional complexity in the code generator. Instead of A<B<C, you can write (A<B)&(B<C).
list.sort()operations will only use the < operator; max() will only use the > operator. The ‘in’ and ‘not in’ operators and dictionary lookup will only use the == operator.
This closely follows David Ascher’s proposal.
- New functions:
PyObject *PyObject_RichCompare(PyObject *, PyObject *, int)
This performs the requested rich comparison, returning a Python object or raising an exception. The 3rd argument must be one of Py_LT, Py_LE, Py_EQ, Py_NE, Py_GT or Py_GE.
int PyObject_RichCompareBool(PyObject *, PyObject *, int)
This performs the requested rich comparison, returning a Boolean: -1 for exception, 0 for false, 1 for true. The 3rd argument must be one of Py_LT, Py_LE, Py_EQ, Py_NE, Py_GT or Py_GE. Note that when
PyObject_RichCompare()returns a non-Boolean object,
PyObject_RichCompareBool()will raise an exception.
- New typedef:
typedef PyObject *(*richcmpfunc) (PyObject *, PyObject *, int);
- New slot in type object, replacing spare tp_xxx7:
This should be a function with the same signature as
PyObject_RichCompare(), and performing the same comparison. At least one of the arguments is of the type whose tp_richcompare slot is being used, but the other may have a different type. If the function cannot compare the particular combination of objects, it should return a new reference to
PyObject_Compare()is changed to try rich comparisons if they are defined (but only if classic comparisons aren’t defined).
Changes to the interpreter
PyObject_Compare()is called with the intent of getting the outcome of a particular comparison (e.g. in
list.sort(), and of course for the comparison operators in ceval.c), the code is changed to call
PyObject_RichCompareBool()instead; if the C code needs to know the outcome of the comparison,
PyObject_IsTrue()is called on the result (which may raise an exception).
- Most built-in types that currently define a comparison will be modified to define a rich comparison instead. (This is optional; I’ve converted lists, tuples, complex numbers, and arrays so far, and am not sure whether I will convert others.)
- Classes can define new special methods
__ge__to override the corresponding operators. (I.e., <, <=, ==, !=, >, >=. You gotta love the Fortran heritage.) If a class defines
__cmp__as well, it is only used when
__lt__etc. have been tried and return
This document has been placed in the public domain.
Here is most of David Ascher’s original proposal (version 0.2.1, dated Wed Jul 22 16:49:28 1998; I’ve left the Contents, History and Patches sections out). It addresses almost all concerns above.
A new mechanism allowing comparisons of Python objects to return
values other than -1, 0, or 1 (or raise exceptions) is
proposed. This mechanism is entirely backwards compatible, and can
be controlled at the level of the C
PyObject type or of the Python
class definition. There are three cooperating parts to the
- the use of the last slot in the type object structure to store a pointer to a rich comparison function
- the addition of special methods for classes
- the addition of an optional argument to the builtin
The current comparison protocol for Python objects assumes that
any two Python objects can be compared (as of Python 1.5, object
comparisons can raise exceptions), and that the return value for
any comparison should be -1, 0 or 1. -1 indicates that the first
argument to the comparison function is less than the right one, +1
indicating the contrapositive, and 0 indicating that the two
objects are equal. While this mechanism allows the establishment
of an order relationship (e.g. for use by the
sort() method of list
objects), it has proven to be limited in the context of Numeric
Specifically, NumPy allows the creation of multidimensional arrays, which support most of the numeric operators. Thus:
x = array((1,2,3,4)) y = array((2,2,4,4))
are two NumPy arrays. While they can be added elementwise,:
z = x + y # z == array((3,4,7,8))
they cannot be compared in the current framework - the released version of NumPy compares the pointers, (thus yielding junk information) which was the only solution before the recent addition of the ability (in 1.5) to raise exceptions in comparison functions.
Even with the ability to raise exceptions, the current protocol
makes array comparisons useless. To deal with this fact, NumPy
includes several functions which perform the comparisons:
not_equal(). These functions return arrays with the same shape as
their arguments (modulo broadcasting), filled with 0’s and 1’s
depending on whether the comparison is true or not for each
element pair. Thus, for example, using the arrays x and y defined
would be an array containing the numbers (1,0,0,0).
The current proposal is to modify the Python object interface to allow the NumPy package to make it so that x < y returns the same thing as less(x,y). The exact return value is up to the NumPy package – what this proposal really asks for is changing the Python core so that extension objects have the ability to return something other than -1, 0, 1, should their authors choose to do so.
Current State of Affairs
The current protocol is, at the C level, that each object type
tp_compare slot, which is a pointer to a function which
PyObject* references and returns -1, 0, or 1. This
function is called by the
PyObject_Compare() function defined in
the C API.
PyObject_Compare() is also called by the builtin
cmp() which takes two arguments.
- Changes to the C structure for type objects
The last available slot in the
PyTypeObject, reserved up to now for future expansion, is used to optionally store a pointer to a new comparison function, of type richcmpfunc defined by:
typedef PyObject *(*richcmpfunc) Py_PROTO((PyObject *, PyObject *, int));
This function takes three arguments. The first two are the objects to be compared, and the third is an integer corresponding to an opcode (one of LT, LE, EQ, NE, GT, GE). If this slot is left NULL, then rich comparison for that object type is not supported (except for class instances whose class provide the special methods described below).
The above opcodes need to be added to the published Python/C API (probably under the names Py_LT, Py_LE, etc.)
- Additions of special methods for classes
Classes wishing to support the rich comparison mechanisms must add one or more of the following new special methods:
def __lt__(self, other): ... def __le__(self, other): ... def __gt__(self, other): ... def __ge__(self, other): ... def __eq__(self, other): ... def __ne__(self, other): ...
Each of these is called when the class instance is the on the left-hand-side of the corresponding operators (<, <=, >, >=, ==, and != or <>). The argument other is set to the object on the right side of the operator. The return value of these methods is up to the class implementor (after all, that’s the entire point of the proposal).
If the object on the left side of the operator does not define an appropriate rich comparison operator (either at the C level or with one of the special methods, then the comparison is reversed, and the right hand operator is called with the opposite operator, and the two objects are swapped. This assumes that a < b and b > a are equivalent, as are a <= b and b >= a, and that == and != are commutative (e.g. a == b if and only if b == a).
For example, if obj1 is an object which supports the rich comparison protocol and x and y are objects which do not support the rich comparison protocol, then obj1 < x will call the
__lt__method of obj1 with x as the second argument. x < obj1 will call obj1’s
__gt__method with x as a second argument, and x < y will just use the existing (non-rich) comparison mechanism.
The above mechanism is such that classes can get away with not implementing either
__ge__. Further smarts could have been added to the comparison mechanism, but this limited set of allowed “swaps” was chosen because it doesn’t require the infrastructure to do any processing (negation) of return values. The choice of six special methods was made over a single (e.g.
__richcmp__) method to allow the dispatching on the opcode to be performed at the level of the C implementation rather than the user-defined method.
- Addition of an optional argument to the builtin
cmp()is still used for simple comparisons. For rich comparisons, it is called with a third argument, one of “<”, “<=”, “>”, “>=”, “==”, “!=”, “<>” (the last two have the same meaning). When called with one of these strings as the third argument,
cmp()can return any Python object. Otherwise, it can only return -1, 0 or 1 as before.
It would be nice to allow objects for which the comparison returns something other than -1, 0, or 1 to be used in chained comparisons, such as:
x < y < z
Currently, this is interpreted by Python as:
temp1 = x < y if temp1: return y < z else: return temp1
Note that this requires testing the truth value of the result of comparisons, with potential “shortcutting” of the right-side comparison testings. In other words, the truth-value of the result of the result of the comparison determines the result of a chained operation. This is problematic in the case of arrays, since if x, y and z are three arrays, then the user expects:
x < y < z
to be an array of 0’s and 1’s where 1’s are in the locations corresponding to the elements of y which are between the corresponding elements in x and z. In other words, the right-hand side must be evaluated regardless of the result of x < y, which is incompatible with the mechanism currently in use by the parser.
Guido mentioned that one possible way out would be to change the code generated by chained comparisons to allow arrays to be chained-compared intelligently. What follows is a mixture of his idea and my suggestions. The code generated for x < y < z would be equivalent to:
temp1 = x < y if temp1: temp2 = y < z return boolean_combine(temp1, temp2) else: return temp1
where boolean_combine is a new function which does something like the following:
def boolean_combine(a, b): if hasattr(a, '__boolean_and__') or \ hasattr(b, '__boolean_and__'): try: return a.__boolean_and__(b) except: return b.__boolean_and__(a) else: # standard behavior if a: return b else: return 0
__boolean_and__ special method is implemented for
C-level types by another value of the third argument to the
richcmp function. This method would perform a boolean comparison
of the arrays (currently implemented in the umath module as the
Thus, objects returned by rich comparisons should always test true, but should define another special method which creates boolean combinations of them and their argument.
This solution has the advantage of allowing chained comparisons to work for arrays, but the disadvantage that it requires comparison arrays to always return true (in an ideal world, I’d have them always raise an exception on truth testing, since the meaning of testing “if a>b:” is massively ambiguous.
The inlining already present which deals with integer comparisons would still apply, resulting in no performance cost for the most common cases.
Last modified: 2022-10-05 16:48:43+00:00 GMT