New issue 2087: NumPy Any/All character and https://bitbucket.org/pypy/pypy/issues/2087/numpy-any-all-character-and
Richard Plangger: >>> numpy.all([1,2,256]*1000) # pypy 2.6.0 False >>> numpy.all([1,2,256]*1000) # python 2.7.10 True That is the trace: label(p27, i26, p1, i32, i9, i33, descr=TargetToken(51234744)) (numpy_reduce: no get_printable_location) guard_early_exit(descr=<Guard0x26ca860>) i36 = raw_load(i9, i32, descr=<ArrayS 8>) guard_not_invalidated(descr=<Guard0x26ca8c0>) i37 = i36 & 255 guard(i37 is true) i38 = getarrayitem_raw(140216103876730, 1, descr=<ArrayU 1>) guard(i38 == 0) i39 = getarrayitem_raw(140216103876728, 0, descr=<ArrayU 1>) i40 = i26 + 1 i41 = i32 + 8 i42 = i40 >= i33 guard(i42 is false) show bridge (run 9800 times, ~0%) guard(i39 == 1) (numpy_reduce: no get_printable_location) jump(p27, i40, p1, i41, i9, i33, descr=TargetToken(51234744)) _______________________________________________ pypy-issue mailing list pypy-issue@python.org https://mail.python.org/mailman/listinfo/pypy-issue
