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<kenaan> tobweber stmgc[c8-adaptive-trx-length] 2d9a2b1a8249 /c8/stm/: Implement quick and dirty adaptive mode prototype
<kenaan> tobweber stmgc[c8-long-transactions] e2d2d2abc99c /c8/stm/core.c: Make single thread mode transactions inevitable only if there are less than two segments in use
<Cheery> arigato: In short, someone implemented subtyping for ML, it seems to work pretty neat.
<Cheery> arigato: it's converting the types into a state graph and defines a subtyping-equivalent for unification in that context.
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<LarstiQ> snow! snow!
<LarstiQ> Cheery: for someone who is not so well versed in type theory, how big is that?
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<Cheery> LarstiQ: I'm neither an expert, but I tried that thing and it seemed to work really well.
<Cheery> so going to implement it as a library and try it out on extended basic blocks.
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<fijal> arigato: ping
<fijal> arigato: cffi tries to compile stuff with x86, as opposed to x86_64 (despite sys.maxint being 64bit)
<arigato> details?
<fijal> how can I see the command how ld is invoked?
<fijal> I'm trying to run the benchmarks of fast-utf8-methods
<fijal> it's the general "cffi uses distutils, how do I find out what's happening?"
<arigato> try ffi.compile(verbose=True)
<fijal> plan_rich: you forgot to commit tests to github?
<fijal> arigato: ok, got it
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<fijal> arigato: ok, so the current status is, even after fixing OS X issues that tests fail and benchmarks are missing files
<fijal> the OS X issue here is that OS X tries to build universal libraries
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<kenaan> mattip cpyext-obj-stealing a69664247db2 /pypy/module/cpyext/test/test_listobject.py: fix test
<kenaan> mattip cpyext-obj-stealing e26ee9fcd87e /pypy/module/cpyext/test/test_listobject.py: check return values
<kenaan> mattip cpyext-obj-stealing d0e8878705c8 /pypy/module/cpyext/test/test_listobject.py: fix test to not use cached object
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<kenaan> mattip cpyext-obj-stealing d8750637a6f7 /pypy/module/cpyext/: rework refcounting to pass tests, use fresh object in test_list_macros
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<mattip> hmm, test_arraymodule now complains about decref() on an already deleted object in CPyListStrorage.__del__
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