I don't know if it's the same issue but I'm also seeing a memory error only
in Spyder and I too have 32 bit Spyder & Python via Anaconda 2.0.1 on Win7
64 bit. I don't see the issue outside of Spyder but using the same Python
interpreter.

Interestingly this issue doesn't exist for a different machine running: Spyder
2.2.0 / Python 2.7.5 (32 bit) / Win7 (64 bit) with 2GB RAM.

On Mon, Oct 6, 2014 at 10:51 AM, Patrick Leinenkugel <
[email protected]> wrote:

> 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
>>
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