Yes, I definitely used the same python distribution. What perhaps is of interest to you is that I experienced different tolerances in the Python IDLE of producing these arrays (3-5 arrays), while with Spyder, it was either one or a maximum of two arrays, that could be created. So in all cases, I was able to create a higher number of arrays with IDLE than with Spyder. Now, with the 64-bit version, I have no problems creating a large number of arrays also in Spyder. Cheers, Patrick
Am Mittwoch, 1. Oktober 2014 09:22:37 UTC+2 schrieb [email protected]: > > > > That is what I am trying to get a handle on. If it is just a straight >> > memory access problem due to memory restrictions in 32 bit Windows then >> > the second case should fail if the first does. >> > > Just guessing, but maybe this is caused by fragmentation of the 32-bit > address space. Perhaps memory allocation in some cases doesn't find a > contiguous 373 M block even though adding up all the smaller free blocks > would show more free memory. > > As another data point, I have Python 3.4.1 |Anaconda 2.0.1 (32-bit)| > (default, Jun 11 2014, 17:29:32) [MSC v.1600 32 bit (Intel)] running on > 64-bit Windows 7, and it consistently gives the memory error on "b_flt" > in Spyder, IPython, as well as starting python.exe from the Windows command > prompt. > > Cheers, > Olli > > -- You received this message because you are subscribed to the Google Groups "spyder" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/spyderlib. For more options, visit https://groups.google.com/d/optout.
