Hi,

> With Numeric on my python path, and numpy off it, I get the appended
> log of test failures.

Just to report back; I tracked down the source of the 64-bit numpy
errors to the 32-bit specific declaration of the pointer to the shape
vector from a passed numpy array.  I've attached a patch that passes
all tests on my system.

I've also worked round the annoyance that Alain Leblanc ran into,
where rpy tests that r.is_na is true for -sys.maxint-1; this isn't
true on my 64 bit system. R uses the system MAX_INT definition for the
NA value, and this is still for a 32-bit integer.  I guess the value
for NA may change in later R releases anyway, and it might be best to
avoid checking this R implementation detail.

I haven't tried to fix for Numeric because I don't think it's
supported on 64 bit.

Any chance of inclusion in trunk?

Matthew

Attachment: rpy_64bit_patch
Description: Binary data

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