cfbolz changed the topic of #pypy to: PyPy, the flexible snake (IRC logs: https://botbot.me/freenode/pypy/ ) | use cffi for calling C | the secret reason for us trying to get PyPy users: to test the JIT well enough that we're somewhat confident about it
<mattip>
cfbolz: maybe because the original function is 100ms, so the benchmarking is timing out before the jit kicks in
<cfbolz>
mattip: if I have some time I'll take a look this afternoon
<mattip>
if len(value) == 10,000 instead of len(value) == 1,000,000, we are 4-5 times faster in pure python, 2 times faster in regex
<mattip>
so it seems my theory may be correct
<cfbolz>
Right
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<kenaan>
antocuni extradoc cd51a2e3fc4d /blog/draft/2018-09-cpyext/cpyext.rst: write this section; I am not very satisfied about it, but better to write down some words that stare at the bla...
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<arigato>
note that the same problem exists for all kinds of list strategies (strings, etc.)
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<kenaan>
arigo cffi/cffi ef09637b2314 /testing/cffi0/test_function.py: Issue #382 Change the test to a non-floating-point example, where ignoring the return value should work even on ...
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<cfbolz>
arigato: why is this the case?: "Note that PyPy3 still uses more memory than CPython3."
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<arigato>
cfbolz: I don't know
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<danchr>
Perhaps because of Flexible String Representation added in Python 3.3?
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<simpson>
Isn
<simpson>
Ugh. This keyboard. But isn't this because of PyPy's overall tendency to use more RAM per (sub)interp than CPython?
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<kenaan>
arigo cffi/cffi 7a76a3815340 /testing/cffi0/test_function.py: Issue #382 Second fix attempt, thanks Adam