[Numpy-discussion] How to install numpy on a box without hardware FPU

[David Cournapeau]

On Tue, Sep 2, 2014 at 8:29 AM, Emel Hasdal <emel_hasdal at hotmail.com> wrote:

> I am trying to run a python application which performs statistical
> calculations using Pandas which seem to depend on Numpy. Hence I have to
> install Numpy to get the app working.
>
> Do you mean I can change
>
>    numpy/core/src/npymath/ieee754.c.src
>
> such that the functions referencing exceptions (npy_get_floatstatus,
> npy_clear_floatstatus, npy_set_floatstatus_divbyzer,
> npy_set_floatstatus_overflow, npy_set_floatstatus_underflow,
> npy_set_floatstatus_invalid) do nothing?
>
> Could there be any implications of this on the numpy functionality?
>

AFAIK, few people have ever tried to run numpy on CPU without an FPU. The
generic answer is that we do not know, as this is not a supported platform,
so you are on your own.

I would suggest you just try adding stubs to see how far you can go, and
come back to this group with the result of your investigation.

David
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