How to parallelize this embarrassingly parallel loop with Python -

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i have embarrassingly parallel loop:

# definitions  def exhaustiveexplorationswithsimilarityall(inputfolder, outputfolder, similaritymeasure):     phasesspeedupdictfolder=parsephasesspeedupdictfolder(inputfolder)     avgspeedupprogramdict=computeavgspeedupprogram(phasesspeedupdictfolder)     parameters={         programsphasesspeedupdicts:phasesspeedupdictfolder,         programsavgspeedupdict:avgspeedupprogramdict     } similarityhandler= similarityhandler(similaritymeasure,parameters)    # sequential running  filename in os.listdir(inputfolder):     print filename     exhaustiveexplorationswithsimilarity(inputfolder + filename, outputfolder + filename, similarityhandler)

and make parallel using joblib parallel:

# parallel version  num_cores = multiprocessing.cpu_count()  parallel= parallel(n_jobs=num_cores)     filename in os.listdir(inputfolder):         print filename         parallel(delayed(exhaustiveexplorationswithsimilarity(inputfolder + filename, outputfolder + filename, similarityhandler)))

or other version:

arg_generator = ((inputfolder + filename, outputfolder + filename, similarityhandler) filename in os.listdir(inputfolder)) parallel(delayed(exhaustiveexplorationswithsimilarity)(arg_generator))

but upon running complaints :

parallel(delayed(exhaustiveexplorationswithsimilarity(inputfolder + filename, outputfolder + filename, similarityhandler)))   file "/usr/lib/pymodules/python2.7/joblib/parallel.py", line 516, in __call__     function, args, kwargs in iterable: typeerror: 'function' object not iterable

what missing here? appreciated.

you still calling exhaustiveexplorationswithsimilarity (serially) inside loop, passing result delayed

from docs https://pythonhosted.org/joblib/parallel.html#common-usage, looks need like:

parallel = parallel(n_jobs=num_cores) parallel(delayed(exhaustiveexplorationswithsimilarity)(inputfolder + filename, outputfolder + filename, similarityhandler) filename in os.listdir(inputfolder))

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