On Tue, Oct 11, 2011 at 11:16 AM, <[email protected]> wrote: > >> > (2) >> > " >> > from multiprocessing import Pool >> > p4 = Pool(processes=4) >> > def distij(i,j,fps=fps): >> > return 1-DataStructs.DiceSimilarity(fps[i],fps[j]) >> > >> > def DivSelection(distij,nfps,quantity_train): >> > picker = MaxMinPicker() >> > picked_indices = picker.LazyPick(distij,nfps,quantity_train) >> > return picked_indices >> > " >> > pickIndices = p4.map(DivSelection, ???) >> >> The MaxMinPicker does not have any way to do the parallelization with >> multiprocessing. >> > > Is there any setting/property of a RDKit functionality how to detect if it > is supported by multiprocessing?
It's not really anything to do with the RDKit. The question to ask is: "am I doing the same operation on each of the items in a list"? If the answer is yes, then the very simple multiprocessing pattern that I showed will work. If not, then the problem is more difficult and it would require more effort/thought. -greg ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2d-oct _______________________________________________ Rdkit-discuss mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/rdkit-discuss
