New issue 2724: some (purely maths) code is ~6 times slower in PyPy3 than in
CPython 3.6
https://bitbucket.org/pypy/pypy/issues/2724/some-purely-maths-code-is-6-times-slower
Sarge Borsch:
(AFAIK PyPy is supposed to be good at optimizing exactly these kinds of
computations, so:)
The code is below.
The computational part executes in **~330 ms with CPython 3.6.4** (on average)
but it takes **~1979ms under PyPy3** (detailed version below)
```
#!python
def measure(fun): # used to measure run time of the interesting part
from time import time
t = time()
result = fun()
elapsed_ms = int(10 ** 3 * (time() - t))
print(str(elapsed_ms) + ' ms')
return result
def sum_digits(n):
s = 0
while n:
n, r = divmod(n, 10)
s += r
return s
print(measure(lambda: sum_digits(11 ** 20000)))
```
PyPy3 detailed version:
```
$ pypy3 --version
Python 3.5.3 (09f9160b643e3f02ccb8c843b2fbb4e5cbf54082, Dec 26 2017, 09:50:12)
[PyPy 5.10.0 with GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.39.2)]
```
OS is macOS 10.12.6.
both PyPy3 and CPython3 were installed from homebrew, with default options.
For most other 'number-crunching' programs PyPy3 gives ~2-6 times speedup on my
machine (as expected), so it's probably not a broken build.
I tried to further isolate the cause but to no avail so far. I will probably
try again in some time. Fortunately the code is not too big already.
Now, should I also test this on some previous PyPy3/2 versions?
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