I want this code to "just work":
def main():
c = Castable()
print c/3
print 2-c
print c%7
print c**2
print "%s" % c
print "%i" % c
print "%f" % c
Of course, the easy way out is to write int(c)/3
, but I'd like to enable a simpler perl-ish syntax for a configuration mini-language.
It's notable that if I use an "old-style" class (don't inherit from object) I can do this quite simply by defining a __coerce__
method, but old-style classes are deprecated and will be removed in python3.
When I do the same thing with a new-style class, I get this error:
TypeError: unsupported operand type(s) for /: 'Castable' and 'int'
I believe this is by design, but then how can I simulate the old-style __coerce__
behavior with a new-style class? You can find my current solution below, but it's quite ugly and long-winded.
This is the relevant documentation: (i think)
Bonus points:
print pow(c, 2, 100)
You need to define __div__
if you want c/3
to work. Python won't convert your object to a number first for you.
This works, and is less gross after several improvements (props to @jchl), but still seems like it should be unecessary, especially considering that you get this for free with "old-style" classes.
I'm still looking for a better answer. If there's no better method, this seems to me like a regression in the Python language.
def ops_list():
"calculate the list of overloadable operators"
#<type 'object'> has functions but no operations
not_ops = dir(object)
#calculate the list of operation names
ops = set()
for mytype in (int, float, str):
for op in dir(mytype):
if op.endswith("__") and op not in not_ops:
ops.add(op)
return sorted(ops)
class MetaCastable(type):
__ops = ops_list()
def __new__(mcs, name, bases, dict):
#pass any undefined ops to self.__op__
def add_op(op):
if op in dict:
return
fn = lambda self, *args: self.__op__(op, args)
fn.__name__ = op
dict[op] = fn
for op in mcs.__ops:
add_op( op )
return type.__new__(mcs, name, bases, dict)
class Castable(object):
__metaclass__ = MetaCastable
def __str__(self):
print "str!"
return "<Castable>"
def __int__(self):
print "int!"
return 42
def __float__(self):
print "float!"
return 2.718281828459045
def __op__(self, op, args):
try:
other = args[0]
except IndexError:
other = None
print "%s %s %s" % (self, op, other)
self, other = coerce(self, other)
return getattr(self, op)(*args)
def __coerce__(self, other):
print "coercing like %r!" % other
if other is None: other = 0.0
return (type(other)(self), other)
class MetaCastable(type):
__binary_ops = (
'add', 'sub', 'mul', 'floordiv', 'mod', 'divmod', 'pow', 'lshift',
'rshift', 'and', 'xor', 'or', 'div', 'truediv',
)
__unary_ops = ( 'neg', 'pos', 'abs', 'invert', )
def __new__(mcs, name, bases, dict):
def make_binary_op(op):
fn = lambda self, other: self.__op__(op, other)
fn.__name__ = op
return fn
for opname in mcs.__binary_ops:
for op in ( '__%s__', '__r%s__' ):
op %= opname
if op in dict:
continue
dict[op] = make_binary_op(op)
def make_unary_op(op):
fn = lambda self: self.__op__(op, None)
fn.__name__ = op
return fn
for opname in mcs.__unary_ops:
op = '__%s__' % opname
if op in dict:
continue
dict[op] = make_unary_op(op)
return type.__new__(mcs, name, bases, dict)
class Castable(object):
__metaclass__ = MetaCastable
def __str__(self):
print "str!"
return "<Castable>"
def __int__(self):
print "int!"
return 42
def __float__(self):
print "float!"
return 2.718281828459045
def __op__(self, op, other):
if other is None:
print "%s(%s)" % (op, self)
self, other = coerce(self, 0.0)
return getattr(self, op)()
else:
print "%s %s %s" % (self, op, other)
self, other = coerce(self, other)
return getattr(self, op)(other)
def __coerce__(self, other):
print "coercing like %r!" % other
return (type(other)(self), other)
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