Mailman 3 December 2013 - pypy-issue

[issue782] Order of calls changes performance
by Ismael 23 Apr '14

23 Apr '14

New submission from Ismael <ismaelgfk(a)gmail.com>: In the following code, the order of calls alters the performance. First case: running calc first, then calc_arr second: ismael@chaos:~/Escritorio$ ~/pypy/bin/pypy slow.py Section time: 0.865699052811 -- Calc Section time: 0.757493019104 -- Calc_arr So, here, best time for calc_arr is 0.75s. It doesn't matter if I run it 10 times, it still about that fast. Now, running calc_arr first and calc second: ismael@chaos:~/Escritorio$ ~/pypy/bin/pypy slow.py Section time: 0.400774002075 -- Calc_arr Section time: 1.53682088852 -- Calc The method that took 0.7s now takes 0.4! And the one that took 0.8s now takes 1.5! For comparison, PyPy latest (45351) is even worse: ismael@chaos:~/Escritorio$ ~/pypy/pypylatest/pypy-c-jit-45351-2630c86662b4-linux64/bin/pypy slow.py Section time: 0.940190792084 -- Calc Section time: 0.925091981888 -- Calc_arr ismael@chaos:~/Escritorio$ ~/pypy/pypylatest/pypy-c-jit-45351-2630c86662b4-linux64/bin/pypy slow.py Section time: 0.418694019318 -- Calc_arr Section time: 1.73908495903 -- Calc Code modified from http://technicaldiscovery.blogspot.com/2011/07/speeding-up-python-again.html class Timer(object): def __enter__(self): self.start = time.time() def __exit__(self, exc_type, exc_val, tb): print "Section time: ", time.time() - self.start import array import time dx = 0.1 dy = 0.1 dx2 = dx*dx dy2 = dy*dy def py_update(u,nx,ny): for i in xrange(1,nx-1): for j in xrange(1, ny-1): u[i][j] = ((u[i+1][j] + u[i-1][j]) * dy2 + (u[i][j+1] + u[i][j-1]) * dx2) / (2*(dx2+dy2)) def calc(N, Niter=100): u = [[0.0]*N for i in xrange(N)] for i in xrange(N): u[0][i] = 1.0 for i in range(Niter): py_update(u,N,N) return u def calc_arr(N, Niter=100): u = [array.array("d", [0.0])*N for i in xrange(N)] for i in xrange(N): u[0][i] = 1.0 for i in range(Niter): py_update(u,N,N) return u #Compare this: with Timer(): u = calc_arr(150,1000) with Timer(): u = calc(150,1000) #To this (comment the previous section): with Timer(): u = calc(150,1000) with Timer(): u = calc_arr(150,1000) ---------- messages: 2741 nosy: Ismael, pypy-issue priority: bug release: 1.5 status: unread title: Order of calls changes performance ________________________________________ PyPy bug tracker <tracker(a)bugs.pypy.org> <https://bugs.pypy.org/issue782> ________________________________________

4 5

[issue670] on translate.py we get very long chains of PlainAttribute.index
by Fijal 23 Apr '14

23 Apr '14

New submission from Fijal <fijall(a)gmail.com>: Identified on OS X, unsure about linux but seems very likely. Also they end up with stackcheck that somehow exits, but we seem to catch the error and go on. ---------- effort: ??? messages: 2292 nosy: pypy-issue priority: bug release: ??? status: unread title: on translate.py we get very long chains of PlainAttribute.index _______________________________________________________ PyPy development tracker <pypy-dev-issue(a)codespeak.net> <https://codespeak.net/issue/pypy-dev/issue670> _______________________________________________________

2 1

[issue517] `_ast` make `lineno` and `col_offset` optional
by Pavel Panchekha 23 Apr '14

23 Apr '14

New submission from Pavel Panchekha <pavpanchekha(a)gmail.com>: The `_ast` module in pypy currently forces the user to specify the `lineno` and `col_offset` fields when constructing any of the AST objects that have them. For better conformance to CPython 2.6's behavior, these two attributes should be optional, and when they are not provided, should not be set. ---------- effort: easy messages: 1683 nosy: hpk, pavpanchekha, pypy-issue priority: wish release: ??? status: unread title: `_ast` make `lineno` and `col_offset` optional _______________________________________________________ PyPy development tracker <pypy-dev-issue(a)codespeak.net> <https://codespeak.net/issue/pypy-dev/issue517> _______________________________________________________

2 1

[issue640] Possible optimization in FOR_ITER on a constant tuple
by Alex Gaynor 23 Apr '14

23 Apr '14

New submission from Alex Gaynor <alex.gaynor(a)gmail.com>: Given: for x in (1, 2, 3): i += x We currently generate: FOR_ITER to 47 guard(i5 is 1) guard(guard_class(p7, 146344448)) p14 = ((pypy.objspace.std.iterobject.W_FastTupleIterObject)p7).inst_tupleitems guard(guard_nonnull(p14)) i15 = ((pypy.objspace.std.iterobject.W_AbstractSeqIterObject)p7).inst_index i16 = arraylen_gc(p14) i17 = i15 >= i16 guard(i17 is false) p18 = getarrayitem_gc(p14, i15) i20 = i15 + 1 This is slightly inefficient in a few places, the getitem, for tupleitems, could be eliminated, as could the arraylen. ---------- effort: ??? messages: 2155 nosy: agaynor, pypy-issue priority: wish release: ??? status: unread title: Possible optimization in FOR_ITER on a constant tuple _______________________________________________________ PyPy development tracker <pypy-dev-issue(a)codespeak.net> <https://codespeak.net/issue/pypy-dev/issue640> _______________________________________________________

2 1

[issue593] ctypes.Array performance issues
by David Naylor 23 Apr '14

23 Apr '14

New submission from David Naylor <naylor.b.david(a)gmail.com>: ctypes.Array performance in PyPy is substantially slower than CPython. A profile shows that PyPy's Array assigns each item of the array, which is rather slow. The following (reduced) code shows the problem: # cat ctype-array.py from multiprocessing import Array from time import time data = " " * (1024 * 1024 * 10) # 10MiB start = time() array = Array('c', data, lock=False) print "%fs" % (time() - start) # python ctypes-array.py 4.234547s # pypy-fast-forward ctypes-array.py 32.414674s which shows an approximate 7.5x increase in execution time, against PyPy. ---------- effort: ??? messages: 1933 nosy: DragonSA, pypy-issue priority: bug release: ??? status: unread title: ctypes.Array performance issues _______________________________________________________ PyPy development tracker <pypy-dev-issue(a)codespeak.net> <https://codespeak.net/issue/pypy-dev/issue593> _______________________________________________________

2 1

[issue689] RPython exception unpickling a coroutine whose creator's stack has shrunk since it was switch()'d
by Chris Smowton 23 Apr '14

23 Apr '14

New submission from Chris Smowton <cs448(a)cam.ac.uk>: Here's an interesting bug that occurs when unpickling coroutines whose creator's stack has grown shorter since that creator was switched-in. That's a fairly tangled sentence -- here's a situation summary: Coro MAIN creates coro A, then switches to A. A enters f, then g (A's stack is [f,g]) A switches to MAIN MAIN switches back to A A returns from g (his stack is now [f]) A creates a coro B, bound to anything, and PICKLES B We try to UNPICKLE B: Result: RPython exception in reconstruct_frame_chain. I don't have a patch to fix this, but I have a solid idea what's wrong from instrumenting lib-python/modified-2.5.2/pickle.py. I stuck some prints into __reduce_ex__ and __setstate__ calls, and it looks like the frame for g is being pickled when we create B, even though g is *not* on the stack at the time B is created or pickled. Looking at the series of __reduce_ex__ calls, it looks like we're pickling A's coroutine *as it was when A was switched in* rather than as it was at the time we created B. Here's an example run, in which I carry out pretty much what I just described, with logging prints in pickle.py active. The crash looks exactly the same with or without the prints. Python 2.5.2 (, Mar 10 2011, 13:06:15) [PyPy 1.4.1] on linux2 Type "help", "copyright", "credits" or "license" for more information. And now for something completely different: ``2009 is the year of reflection on the desktop'' >>>> import pickle >>>> import stackless >>>> h = None >>>> main_coro = stackless.coroutine.getcurrent() >>>> >>>> def f(): .... g() .... global h .... new_coro = stackless.coroutine() .... new_coro.bind(lambda x: x, 5) .... h = pickle.dumps(new_coro) .... >>>> def g(): .... main_coro.switch() .... >>>> user_coro = stackless.coroutine() >>>> user_coro.bind(f) >>>> >>>> user_coro.switch() >>>> user_coro.switch() !!!!! REDUCE_EX <_stackless.coroutine object at 0x00007f8c20ff8770> TO (<type '_stackless.coroutine'>, (), (0, (), (<function <lambda> at 0x00007f8c20fdbe60>, (5,), {}), <_stackless.coroutine object at 0x00007f8c20ff86e0>)) !!!!! REDUCE_EX <code object <lambda>, file '<console>', line 5> TO (<built-in function code_new>, (1, 1, 1, 595, '|\x00\x00S', (None,), (), ('x',), '<console>', '<lambda>', 5, '', (), (), 168686271)) !!!!! REDUCE_EX <module '__main__' from ?> TO (<built-in function __import__>, ('__main__', None, None, ('',))) !!!!! REDUCE_EX <_stackless.coroutine object at 0x00007f8c20ff86e0> TO (<type '_stackless.coroutine'>, (), (0, (<frame object at 0x00007f8c20fffe60>, <frame object at 0x00007f8c20ffff10>), None, <_stackless.coroutine object at 0x0000000002319000>)) !!!!! REDUCE_EX <frame object at 0x00007f8c20fffe60> TO (<built-in function frame_new>, (), (None, <module '__builtin__' (built-in)>, <code object f, file '<console>', line 1>, ((1,), <function dumps at 0x00007f8c210ab990>, None, <_stackless.coroutine object at 0x00007f8c20ff8770>), (), None, None, {'main_coro': <_stackless.coroutine object at 0x0000000002319000>, 'stackless': <module 'stackless' from '/local/scratch/cs448/pypy-1.4.1-src/lib_pypy/stackless.pyc'>, 'g': <function g at 0x00007f8c20fdbd00>, 'h': None, '__builtins__': <module '__builtin__' (built-in)>, '__name__': '__main__', 'user_coro': <_stackless.coroutine object at 0x00007f8c20ff86e0>, 'f': <function f at 0x00007f8c20fdb830>, 'pickle': <module 'pickle' from '/local/scratch/cs448/pypy-1.4.1-src/lib-python/modified-2.5.2/pickle.pyc'>, '__doc__': None}, 47, False, 6, ((), <_stackless.coroutine object at 0x00007f8c20ff8770>), None, None, 0, -1, -1, None)) !!!!! REDUCE_EX <module '__builtin__' (built-in)> TO (<built-in function __import__>, ('__builtin__', None, None, ('',))) !!!!! REDUCE_EX <code object f, file '<console>', line 1> TO (<built-in function code_new>, (0, 1, 4, 2627, 't\x00\x00\x83\x00\x00\x01t\x01\x00\x91\x02\x00\x92\x00\x00}\x00\x00|\x00\x00\x91\x03\x00d\x01\x00\x84\x00\x00d\x02\x00\x92\x02\x00\x01t\x04\x00\x91\x05\x00|\x00\x00\x92\x01\x00a\x06\x00d\x00\x00S', (None, <code object <lambda>, file '<console>', line 5>, 5), ('g', 'stackless', 'coroutine', 'bind', 'pickle', 'dumps', 'h'), ('new_coro',), '<console>', 'f', 1, '\x00\x01\x07\x02\x0c\x01\x13\x01', (), (), 168686271)) !!!!! REDUCE_EX <frame object at 0x00007f8c20ffff10> TO (<built-in function frame_new>, (), (<frame object at 0x00007f8c20fffe60>, <module '__builtin__' (built-in)>, <code object g, file '<console>', line 1>, ((),), (), None, None, {'main_coro': <_stackless.coroutine object at 0x0000000002319000>, 'stackless': <module 'stackless' from '/local/scratch/cs448/pypy-1.4.1-src/lib_pypy/stackless.pyc'>, 'g': <function g at 0x00007f8c20fdbd00>, 'h': None, '__builtins__': <module '__builtin__' (built-in)>, '__name__': '__main__', 'user_coro': <_stackless.coroutine object at 0x00007f8c20ff86e0>, 'f': <function f at 0x00007f8c20fdb830>, 'pickle': <module 'pickle' from '/local/scratch/cs448/pypy-1.4.1-src/lib-python/modified-2.5.2/pickle.pyc'>, '__doc__': None}, 13, True, 2, ((),), None, None, 0, -1, -1, None)) !!!!! REDUCE_EX <code object g, file '<console>', line 1> TO (<built-in function code_new>, (0, 0, 2, 2627, 't\x00\x00\x91\x01\x00\x92\x00\x00\x01d\x00\x00S', (None,), ('main_coro', 'switch'), (), '<console>', 'g', 1, '\x00\x01', (), (), 168686271)) !!!!! REDUCE_EX <_stackless.coroutine object at 0x0000000002319000> TO (<built-in function _return_main>, ()) >>>> print h c_stackless coroutine p0 (tRp1 (I0 (t(c_pickle_support func_new p2 (tRp3 (S'<lambda>' p4 Nc_pickle_support code_new p5 (I1 I1 I1 I595 S'|\x00\x00S' p6 (Ntp7 (t(S'x' p8 tp9 S'<console>' p10 S'<lambda>' p11 I5 S'' p12 (t(tI168686271 tp13 Rp14 c__builtin__ getattr p15 (c__builtin__ __import__ p16 (S'__main__' p17 NN(S'' p18 tp19 tp20 Rp21 S'__dict__' p22 tp23 RN(t(dp24 g17 tp25 b(I5 tp26 (dp27 tp28 g0 (tRp29 (I0 (c_pickle_support frame_new p30 (tRp31 (Ng16 (S'__builtin__' p32 NN(g18 tp33 tp34 Rp35 g5 (I0 I1 I4 I2627 S't\x00\x00\x83\x00\x00\x01t\x01\x00\x91\x02\x00\x92\x00\x00}\x00\x00|\x00\x00\x91\x03\x00d\x01\x00\x84\x00\x00d\x02\x00\x92\x02\x00\x01t\x04\x00\x91\x05\x00|\x00\x00\x92\x01\x00a\x06\x00d\x00\x00S' p36 (Ng14 I5 tp37 (S'g' p38 S'stackless' p39 S'coroutine' p40 S'bind' p41 S'pickle' p42 S'dumps' p43 S'h' p44 tp45 (S'new_coro' p46 tp47 S'<console>' p48 S'f' p49 I1 S'\x00\x01\x07\x02\x0c\x01\x13\x01' p50 (t(tI168686271 tp51 Rp52 ((I1 tp53 cpickle dumps p54 Ng1 tp55 (tNNg15 (g21 g22 tp56 RI47 I00 I6 ((tg1 tp57 NNI0 I-1 I-1 Ntp58 bg30 (tRp59 (g31 g35 g5 (I0 I0 I2 I2627 S't\x00\x00\x91\x01\x00\x92\x00\x00\x01d\x00\x00S' p60 (Ntp61 (S'main_coro' p62 S'switch' p63 tp64 (tS'<console>' p65 S'g' p66 I1 S'\x00\x01' p67 (t(tI168686271 tp68 Rp69 ((ttp70 (tNNg15 (g21 g22 tp71 RI13 I01 I2 ((ttp72 NNI0 I-1 I-1 Ntp73 btp74 Nc_stackless _return_main p75 (tRp76 tp77 btp78 b. >>>> pickle.loads(h) @@@SETSTATE <type 'function'> ('<lambda>', None, <code object <lambda>, file '<console>', line 5>, {'main_coro': <_stackless.coroutine object at 0x0000000002319000>, 'stackless': <module 'stackless' from '/local/scratch/cs448/pypy-1.4.1-src/lib_pypy/stackless.pyc'>, 'g': <function g at 0x00007f8c20fdbd00>, 'h': "c_stackless\ncoroutine\np0\n(tRp1\n(I0\n(t(c_pickle_support\nfunc_new\np2\n(tRp3\n(S'<lambda>'\np4\nNc_pickle_support\ncode_new\np5\n(I1\nI1\nI1\nI595\nS'|\\x00\\x00S'\np6\n(Ntp7\n(t(S'x'\np8\ntp9\nS'<console>'\np10\nS'<lambda>'\np11\nI5\nS''\np12\n(t(tI168686271\ntp13\nRp14\nc__builtin__\ngetattr\np15\n(c__builtin__\n__import__\np16\n(S'__main__'\np17\nNN(S''\np18\ntp19\ntp20\nRp21\nS'__dict__'\np22\ntp23\nRN(t(dp24\ng17\ntp25\nb(I5\ntp26\n(dp27\ntp28\ng0\n(tRp29\n(I0\n(c_pickle_support\nframe_new\np30\n(tRp31\n(Ng16\n(S'__builtin__'\np32\nNN(g18\ntp33\ntp34\nRp35\ng5\n(I0\nI1\nI4\nI2627\nS't\\x00\\x00\\x83\\x00\\x00\\x01t\\x01\\x00\\x91\\x02\\x00\\x92\\x00\\x00}\\x00\\x00|\\x00\\x00\\x91\\x03\\x00d\\x01\\x00\\x84\\x00\\x00d\\x02\\x00\\x92\\x02\\x00\\x01t\\x04\\x00\\x91\\x05\\x00|\\x00\\x00\\x92\\x01\\x00a\\x06\\x00d\\x00\\x00S'\np36\n(Ng14\nI5\ntp37\n(S'g'\np38\nS'stackless'\np39\nS'coroutine'\np40\nS'bind'\np41\nS'pickle'\np42\nS'dumps'\np43\nS'h'\np44\ntp45\n(S'new_coro'\np46\ntp47\nS'<console>'\np48\nS'f'\np49\nI1\nS'\\x00\\x01\\x07\\x02\\x0c\\x01\\x13\\x01'\np50\n(t(tI168686271\ntp51\nRp52\n((I1\ntp53\ncpickle\ndumps\np54\nNg1\ntp55\n(tNNg15\n(g21\ng22\ntp56\nRI47\nI00\nI6\n((tg1\ntp57\nNNI0\nI-1\nI-1\nNtp58\nbg30\n(tRp59\n(g31\ng35\ng5\n(I0\nI0\nI2\nI2627\nS't\\x00\\x00\\x91\\x01\\x00\\x92\\x00\\x00\\x01d\\x00\\x00S'\np60\n(Ntp61\n(S'main_coro'\np62\nS'switch'\np63\ntp64\n(tS'<console>'\np65\nS'g'\np66\nI1\nS'\\x00\\x01'\np67\n(t(tI168686271\ntp68\nRp69\n((ttp70\n(tNNg15\n(g21\ng22\ntp71\nRI13\nI01\nI2\n((ttp72\nNNI0\nI-1\nI-1\nNtp73\nbtp74\nNc_stackless\n_return_main\np75\n(tRp76\ntp77\nbtp78\nb.", '__builtins__': <module '__builtin__' (built-in)>, '__name__': '__main__', 'user_coro': <_stackless.coroutine object at 0x00007f8c20ff86e0>, 'f': <function f at 0x00007f8c20fdb830>, 'pickle': <module 'pickle' from '/local/scratch/cs448/pypy-1.4.1-src/lib-python/modified-2.5.2/pickle.pyc'>, '__doc__': None}, None, (), {}, '__main__') @@@SETSTATE <type 'frame'> (None, <module '__builtin__' (built-in)>, <code object f, file '<console>', line 1>, ((1,), <function dumps at 0x00007f8c210ab990>, None, <_stackless.coroutine object at 0x00007f8c20ff8800>), (), None, None, {'main_coro': <_stackless.coroutine object at 0x0000000002319000>, 'stackless': <module 'stackless' from '/local/scratch/cs448/pypy-1.4.1-src/lib_pypy/stackless.pyc'>, 'g': <function g at 0x00007f8c20fdbd00>, 'h': "c_stackless\ncoroutine\np0\n(tRp1\n(I0\n(t(c_pickle_support\nfunc_new\np2\n(tRp3\n(S'<lambda>'\np4\nNc_pickle_support\ncode_new\np5\n(I1\nI1\nI1\nI595\nS'|\\x00\\x00S'\np6\n(Ntp7\n(t(S'x'\np8\ntp9\nS'<console>'\np10\nS'<lambda>'\np11\nI5\nS''\np12\n(t(tI168686271\ntp13\nRp14\nc__builtin__\ngetattr\np15\n(c__builtin__\n__import__\np16\n(S'__main__'\np17\nNN(S''\np18\ntp19\ntp20\nRp21\nS'__dict__'\np22\ntp23\nRN(t(dp24\ng17\ntp25\nb(I5\ntp26\n(dp27\ntp28\ng0\n(tRp29\n(I0\n(c_pickle_support\nframe_new\np30\n(tRp31\n(Ng16\n(S'__builtin__'\np32\nNN(g18\ntp33\ntp34\nRp35\ng5\n(I0\nI1\nI4\nI2627\nS't\\x00\\x00\\x83\\x00\\x00\\x01t\\x01\\x00\\x91\\x02\\x00\\x92\\x00\\x00}\\x00\\x00|\\x00\\x00\\x91\\x03\\x00d\\x01\\x00\\x84\\x00\\x00d\\x02\\x00\\x92\\x02\\x00\\x01t\\x04\\x00\\x91\\x05\\x00|\\x00\\x00\\x92\\x01\\x00a\\x06\\x00d\\x00\\x00S'\np36\n(Ng14\nI5\ntp37\n(S'g'\np38\nS'stackless'\np39\nS'coroutine'\np40\nS'bind'\np41\nS'pickle'\np42\nS'dumps'\np43\nS'h'\np44\ntp45\n(S'new_coro'\np46\ntp47\nS'<console>'\np48\nS'f'\np49\nI1\nS'\\x00\\x01\\x07\\x02\\x0c\\x01\\x13\\x01'\np50\n(t(tI168686271\ntp51\nRp52\n((I1\ntp53\ncpickle\ndumps\np54\nNg1\ntp55\n(tNNg15\n(g21\ng22\ntp56\nRI47\nI00\nI6\n((tg1\ntp57\nNNI0\nI-1\nI-1\nNtp58\nbg30\n(tRp59\n(g31\ng35\ng5\n(I0\nI0\nI2\nI2627\nS't\\x00\\x00\\x91\\x01\\x00\\x92\\x00\\x00\\x01d\\x00\\x00S'\np60\n(Ntp61\n(S'main_coro'\np62\nS'switch'\np63\ntp64\n(tS'<console>'\np65\nS'g'\np66\nI1\nS'\\x00\\x01'\np67\n(t(tI168686271\ntp68\nRp69\n((ttp70\n(tNNg15\n(g21\ng22\ntp71\nRI13\nI01\nI2\n((ttp72\nNNI0\nI-1\nI-1\nNtp73\nbtp74\nNc_stackless\n_return_main\np75\n(tRp76\ntp77\nbtp78\nb.", '__builtins__': <module '__builtin__' (built-in)>, '__name__': '__main__', 'user_coro': <_stackless.coroutine object at 0x00007f8c20ff86e0>, 'f': <function f at 0x00007f8c20fdb830>, 'pickle': <module 'pickle' from '/local/scratch/cs448/pypy-1.4.1-src/lib-python/modified-2.5.2/pickle.pyc'>, '__doc__': None}, 47, False, 6, ((), <_stackless.coroutine object at 0x00007f8c20ff8800>), None, None, 0, -1, -1, None) @@@SETSTATE <type 'frame'> (<frame object at 0x00007f8c21018c80>, <module '__builtin__' (built-in)>, <code object g, file '<console>', line 1>, ((),), (), None, None, {'main_coro': <_stackless.coroutine object at 0x0000000002319000>, 'stackless': <module 'stackless' from '/local/scratch/cs448/pypy-1.4.1-src/lib_pypy/stackless.pyc'>, 'g': <function g at 0x00007f8c20fdbd00>, 'h': "c_stackless\ncoroutine\np0\n(tRp1\n(I0\n(t(c_pickle_support\nfunc_new\np2\n(tRp3\n(S'<lambda>'\np4\nNc_pickle_support\ncode_new\np5\n(I1\nI1\nI1\nI595\nS'|\\x00\\x00S'\np6\n(Ntp7\n(t(S'x'\np8\ntp9\nS'<console>'\np10\nS'<lambda>'\np11\nI5\nS''\np12\n(t(tI168686271\ntp13\nRp14\nc__builtin__\ngetattr\np15\n(c__builtin__\n__import__\np16\n(S'__main__'\np17\nNN(S''\np18\ntp19\ntp20\nRp21\nS'__dict__'\np22\ntp23\nRN(t(dp24\ng17\ntp25\nb(I5\ntp26\n(dp27\ntp28\ng0\n(tRp29\n(I0\n(c_pickle_support\nframe_new\np30\n(tRp31\n(Ng16\n(S'__builtin__'\np32\nNN(g18\ntp33\ntp34\nRp35\ng5\n(I0\nI1\nI4\nI2627\nS't\\x00\\x00\\x83\\x00\\x00\\x01t\\x01\\x00\\x91\\x02\\x00\\x92\\x00\\x00}\\x00\\x00|\\x00\\x00\\x91\\x03\\x00d\\x01\\x00\\x84\\x00\\x00d\\x02\\x00\\x92\\x02\\x00\\x01t\\x04\\x00\\x91\\x05\\x00|\\x00\\x00\\x92\\x01\\x00a\\x06\\x00d\\x00\\x00S'\np36\n(Ng14\nI5\ntp37\n(S'g'\np38\nS'stackless'\np39\nS'coroutine'\np40\nS'bind'\np41\nS'pickle'\np42\nS'dumps'\np43\nS'h'\np44\ntp45\n(S'new_coro'\np46\ntp47\nS'<console>'\np48\nS'f'\np49\nI1\nS'\\x00\\x01\\x07\\x02\\x0c\\x01\\x13\\x01'\np50\n(t(tI168686271\ntp51\nRp52\n((I1\ntp53\ncpickle\ndumps\np54\nNg1\ntp55\n(tNNg15\n(g21\ng22\ntp56\nRI47\nI00\nI6\n((tg1\ntp57\nNNI0\nI-1\nI-1\nNtp58\nbg30\n(tRp59\n(g31\ng35\ng5\n(I0\nI0\nI2\nI2627\nS't\\x00\\x00\\x91\\x01\\x00\\x92\\x00\\x00\\x01d\\x00\\x00S'\np60\n(Ntp61\n(S'main_coro'\np62\nS'switch'\np63\ntp64\n(tS'<console>'\np65\nS'g'\np66\nI1\nS'\\x00\\x01'\np67\n(t(tI168686271\ntp68\nRp69\n((ttp70\n(tNNg15\n(g21\ng22\ntp71\nRI13\nI01\nI2\n((ttp72\nNNI0\nI-1\nI-1\nNtp73\nbtp74\nNc_stackless\n_return_main\np75\n(tRp76\ntp77\nbtp78\nb.", '__builtins__': <module '__builtin__' (built-in)>, '__name__': '__main__', 'user_coro': <_stackless.coroutine object at 0x00007f8c20ff86e0>, 'f': <function f at 0x00007f8c20fdb830>, 'pickle': <module 'pickle' from '/local/scratch/cs448/pypy-1.4.1-src/lib-python/modified-2.5.2/pickle.pyc'>, '__doc__': None}, 13, True, 2, ((),), None, None, 0, -1, -1, None) @@@SETSTATE <type '_stackless.coroutine'> (0, (<frame object at 0x00007f8c21018c80>, <frame object at 0x00007f8c21018d30>), None, <_stackless.coroutine object at 0x0000000002319000>) RPython traceback: File "implement_26.c", line 197241, in AppCoroutine_descr__setstate__ File "implement_28.c", line 20393, in AppCoroutine_reconstruct_framechain Fatal RPython error: AssertionError Aborted ---------- effort: ??? messages: 2396 nosy: pypy-issue, smowton priority: bug release: 1.4 status: unread title: RPython exception unpickling a coroutine whose creator's stack has shrunk since it was switch()'d _______________________________________________________ PyPy development tracker <pypy-dev-issue(a)codespeak.net> <https://codespeak.net/issue/pypy-dev/issue689> _______________________________________________________

2 1

[issue947] error in compiling
by oczkers 22 Apr '14

22 Apr '14

New submission from oczkers <oczkers(a)gmail.com>: gentoo x64 I`m pretty new here so tell me if you need more info. ---------- files: build.log messages: 3522 nosy: oczkers, pypy-issue priority: bug release: 1.7 status: unread title: error in compiling ________________________________________ PyPy bug tracker <tracker(a)bugs.pypy.org> <https://bugs.pypy.org/issue947> ________________________________________

3 2

[issue889] Windows binary distribution is missing cpyext header files
by Jean-Paul Calderone 22 Apr '14

22 Apr '14

New submission from Jean-Paul Calderone <exarkun(a)twistedmatrix.com>: Without the cpyext header files, extension modules can't be built. ---------- messages: 3222 nosy: calderone, pypy-issue priority: bug status: unread title: Windows binary distribution is missing cpyext header files ________________________________________ PyPy bug tracker <tracker(a)bugs.pypy.org> <https://bugs.pypy.org/issue889> ________________________________________

4 8

[issue1155] windows creates 2 bytes unicode dtype numpy arrays, not 4 byte
by mattip 22 Apr '14

22 Apr '14

New submission from mattip <matti.picus(a)gmail.com>: The test AppTestStrUnicodeDtypes.().test_unicode_dtype on windows fails. Am I correct in that unicode strings are 2 byte per character on windows? cpython numpy has a comment in the code /* Numpy Unicode is always 4-byte */ so the test is correct, windows somehow needs to create 4 byte dtypes. I'm willing to fix but need a push in the right direction ---------- messages: 4344 nosy: mattip, pypy-issue priority: bug status: unread title: windows creates 2 bytes unicode dtype numpy arrays, not 4 byte ________________________________________ PyPy bug tracker <tracker(a)bugs.pypy.org> <https://bugs.pypy.org/issue1155> ________________________________________

1 1

[issue1514] module behaviour incompatibility which makes eventlet fail
by YAMAMOTO Takashi 17 Apr '14

17 Apr '14

New submission from YAMAMOTO Takashi <yamt(a)mwd.biglobe.ne.jp>: the following code behaves differently on cpython and pypy. it breaks eventlet monkey pathcing. --------------- import select import sys f = select.select setattr(select, 'select', None) assert f != select.select # save, re-import, restore. # this is essentially what eventlet.patcher does. modname = 'select' saved = sys.modules.get(modname) sys.modules.pop(modname) __import__(modname) sys.modules[modname] = saved assert f != select.select # this succeeds on cpython but fails on pypy. ---------- messages: 5843 nosy: pypy-issue, yamt priority: bug status: unread title: module behaviour incompatibility which makes eventlet fail ________________________________________ PyPy bug tracker <tracker(a)bugs.pypy.org> <https://bugs.pypy.org/issue1514> ________________________________________

4 34