I have a dictionary (in RPython) that looks something like this:
class MyDict(Obj):
def add(self, k, v):
newdict = self.dict.copy()
newdict[k] = v
self.dict = newdict
def get(self, k):
d = self.dict
return MyDict._static_get(d, k)
@staticmethod
@purefunction
def _static_get(d, k):
if d not in k:
return None
return d[k]
I'm trying to figure out the best way to optimize this. As you see,
this structure is "append only". That is if mydict.get("foo") returns
a value it will always return that value, for all time. In that sense,
the function is pure. If however, the function returns None, then it
could change in the future.
This is for my Clojure on PyPy implementation. The idea is that types
can be extended via protocols, at runtime, at any point in the
program's execution. However, once a given type is extended to support
a given interface (or protocol) it will never be able to be changed.
That is, once we extend Foo so that it implements Foo.count() it will
implement Foo.count() for all time.
Any thoughts on how to optimize this further for the jit? I'd like to
promote the value of get() to a constant, but I can only do that as
long as it is not None. After Foo is extended, I'd like the jit to
re-generate the jitted code to remove all guards, hopefully saving a
few cycles.
Timothy
--
“One of the main causes of the fall of the Roman Empire was
that–lacking zero–they had no way to indicate successful termination
of their C programs.”
(Robert Firth)
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