richard mendes wrote:
> The question i have is how does rpy handle multithreads.
>
> What i've seen till now is that a r object is created when importing
> the rpy library. how does this react to multithreads.
Those are fairly vague questions, so I'll answer the specifics:
> Is that r object connected to one R session ?
Yes.
> Is there a way to create a new r object ?
You can try! Doing 'from rpy import r' just runs rpy.py, and that
defines a class 'R' and creates an object called 'r' of that class which
is then imported into the caller. So you can try and make another by
creating another instance:
>>> import rpy
>>> r2=rpy.R()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Python25\Lib\site-packages\rpy.py", line 286, in __init__
_rpy.r_init(HAS_NUMERIC);
RuntimeError: Only one R object may be instantiated per session
So I guess that's a no. That error is coming from the C code, so I
don't know how fundamental it is or how difficult it would be to make it
work...
> what happens to the r object if i just make a new object of the class
> that calls the rpy library. Would that create a new R session ?
Fraid not:
>>> from rpy import r
>>> r.assign('x',999)
999
>>> r.ls()
'x'
>>> r2=r
>>> r2.ls()
'x'
it's the same session.
> If someone knows the answers to these questions it would help me a
> lot, and save me some time writing tests to find this out.
So I think that definitely within a single thread there can be only
one, and probably across multiple threads too. However if you use
os.fork() you can get a new R session...
Barry
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