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<Corbin>
[translation:ERROR] AssertionError: Cannot find C library, ctypes.util.find_library('c') returned None
<Corbin>
I hit this while building with Nix. This is understandable; Nix normally breaks this part of ctypes. But it doesn't bite me while building PyPy or Typhon. What's up with that?
<Corbin>
Curiously, this seems to only happen when I'm building a very basic interpreter https://bpa.st/JAFA with -Ojit; building with -O2 works just fine.
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<lesshaste>
Is there a roadmap for pypy or a list of the goals for short-term?
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<Dejan>
you could think of one immediately :)
<Dejan>
compatibility with CPython X.Y
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<Corbin>
Yeah, the general outliine has been "adopt whichever PEPs CPython has adopted" and "go faster" for a while, but I bet lesshaste wants specifics.
<ronan>
lesshaste: there is no roadmap. People are mostly working on 3.8 and HPy ATM
<Dejan>
once PyPy catches up with 3.8 it will move to 3.9, and so on...
<lesshaste>
Corbin, he does :)
<lesshaste>
Dejan, ok. It used to be that people were working on specific ways to make code run faster
<lesshaste>
is that now more or less over?
<lesshaste>
and people were also working on how to make numpy go faster in pypy
<lesshaste>
is that over too?
<Dejan>
that will take long time
<Dejan>
as far as I know, that is why guys are working on HPy
<ronan>
Dejan: indeed
<lesshaste>
Dejan, sorry which will take a long time?
<Dejan>
to make numpy go faster
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<Corbin>
Stupid question, but I'm not good at reading the JIT backend code: Are there SWAR/broadword optimizations for parallelizing loops which are working with bools?
<Corbin>
I'm trying to decide whether I should design a preprocessor which SWARs loops like that. The downside is that the preprocessor would basically fix the program at a certain word width, and I don't want to write such a preprocessor in RPython.
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<Corbin>
More on the same theme, and sorry I know I've asked before, but: What are my options for lists of bools? I want a packed bitmap, so do I use rbigint?
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<jkovac1>
hi all! I've been having a hard researching PyPy's sandboxing feature. Is this something that is deprecated? Still being maintained? Where can I find more info?