class NamedValue:
# defining __slots__ in a mixin doesn't play nicely with builtin types
# so a low overhead approach would have to use collections.namedtuple
# style templated code generation
def __new__(cls, *args, **kwds):
name, *args = args
self = super().__new__(cls, *args, **kwds)
self._name = name
return self
def __init__(self, *args, **kwds):
name, *args = args
super().__init__(*args, **kwds)
@property
def __name__(self):
return self._name
def __repr__(self):
# repr() is updated to include the name and type info
return "{}({!r}, {})".format(type(self).__name__,
self.__name__,
super().__repr__())
def __str__(self):
# str() is unchanged, even if it relies on the repr() fallback
base = super()
base_str = base.__str__
if base_str.__objclass__ is object:
return base.__repr__()
return base_str()
# Example usage
>>> class NamedFloat(NamedValue, float):
... pass
...
>>> import math
>>> tau = NamedFloat('tau', 2*math.pi)
>>> tau
NamedFloat(tau, 6.283185307179586)
>>> print(tau)
6.283185307179586
>>> class NamedList(NamedValue, list):
... pass
...
>>> data = NamedList('data', [])
>>> data
NamedList('data', [])
>>> print(data)
[]
Diff to Previous Revision
--- revision 1 2011-07-28 00:23:01
+++ revision 2 2011-07-28 00:23:34
@@ -16,8 +16,8 @@
def __repr__(self):
# repr() is updated to include the name and type info
return "{}({!r}, {})".format(type(self).__name__,
- self.__name__,
- super().__repr__())
+ self.__name__,
+ super().__repr__())
def __str__(self):
# str() is unchanged, even if it relies on the repr() fallback
base = super()
