Hi Nicholas,
Nicholas Riley wrote:
> I was able to translate targetnopstandalone to Java so it seems to
> work a little, but obviously there is a big difference between that
> and PyPy. :) Trawling the IRC logs I found:
>
> [20:39] <antocuni> fijal: unfortunately pypy-jvm does not compile
> out of the box
> [20:39] <antocuni> you have to manually patch two lines in rbigint
>
> Is this still true? Is the patch available somewhere?
yes, it's still true; the patch is very little and simple:
Index: rlib/rbigint.py
===================================================================
--- rlib/rbigint.py (revision 47111)
+++ rlib/rbigint.py (working copy)
@@ -176,7 +176,8 @@
return _AsLong(self)
def tolonglong(self):
- return _AsLongLong(self)
+ raise OverflowError # XXX
+ #return _AsLongLong(self)
def tobool(self):
return self.sign != 0
With this, you should be able to translate and compile pypy-jvm.
About performances, there are a lot of factors that could affect them.
For example, I found that if we inline too much, performances are worse,
probably because jvm's JIT compiles again and again the same code.
Moreover, PyPy provides also a number of optimizations to the
interpreter which can greatly improve the efficiency: there is a
--faassen option that includes all the optimizations known to be good
for pypy-c, but I found that maybe not all of them are also good for
pypy-jvm.
For example, I got better results with shadowtracking and methodcache
disabled than with the full --fassen; I don't know why, it's probably
worth of being investigated.
To conclude, you should try with the following command line to get best
results:
./translate.py -b jvm --inline-threshold 0 targetpypystandalone.py
--faassen --no-objspace-std-withshadowtracking
--no-objspace-std-withmethodcache
You can also try to use only --fassen to see if the performances are
worse also for you. Any other experiment with the options is very
welcome, of course :-).
ciao Anto
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