arigato changed the topic of #pypy to: PyPy, the flexible snake (IRC logs: https://quodlibet.duckdns.org/irc/pypy/latest.log.html#irc-end ) | use cffi for calling C | mac OS and Fedora are not Windows
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<johnjay> i keep forgetting about pypy. is it x86 only or is there an arm port?
<Alex_Gaynor> we support ARM32, ARM64 is in progress
<johnjay> hrm. i guess raspbian is technically arm32
<johnjay> or armv7 to be precise
<Alex_Gaynor> yeah, that's supported
<johnjay> nice.
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<fijal> mattip: so I have some code from a client where pypy7.1 is 20% faster than previous
<fijal> probably utf8
<fijal> cfbolz: ^^^
<cfbolz> Nice
<fijal> cfbolz: do you have a build somewhere of your json stuff?
<fijal> or can I build it from some given branch
<cfbolz> fijal: it's on a fork right now
<cfbolz> I suppose you could just pull from it and push to the PyPy repo
<cfbolz> It contains a bit too much nonsense but our history generally tends to
<fijal> should build from trunk there?
<cfbolz> No, json-experiments
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<fijal> ok, but the most recent commit
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<cfbolz> fijal: yes
<cfbolz> fijal: are you doing json stuff?
<fijal> cfbolz: I'm trying to see if loading better dicts help this particular example
<cfbolz> Right
<cfbolz> If it's very regular and you access them with constant strings it should
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<mattip> fijal: I wonder if 7.1 closes the gap between python2.7 and python3.6
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<catern> is there an isinstance check I can do to detect cffi objects that support ffi.buffer? I want to write a method which takes both bytes, things convertible to bytes with __bytes__, and cffi objects that I can call ffi.buffer on
<catern> or, some other way I can do that :)
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