Comments (4)
That warning should not affect simple_est_prec
; you will be fine. If you don't want to see it, which I understand, you can turn off warnings or install ipyparallel
with, for example, conda install ipyparallel
.
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@ihincks : Thanks for your reply. Could you give me some idea about when this warning could matter?
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The only thing that depends on the ipyparallel
module is the class DirectViewParallelizedModel
in the file parallel.py
. This class is not used by anything else, so this warning only matters when you want to use this class but don't have ipyparallel
, and is slightly redundant because you would get an actual error if you tried. I believe the original rationale for throwing the warning was that we didn't want to add a dependency for a tangential feature.
However, I think there must be a smoother way to handle it, because it can hardly be considered an 'optional dependency' if one gets a red warning every time one tries to import qinfer
.
from python-qinfer.
ipyparallel interfaces with concurrent.futures
now, so in the constructor of DirectViewParallelizedModel
, we can ask for an Executor
that would submit jobs to ipyparallel. It would also enable our code to work on the thread pool and process pool in the standard Python library as well.
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Related Issues (20)
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