84 lines
3.1 KiB
Python
84 lines
3.1 KiB
Python
# This is a sample Python script.
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# Press Shift+F10 to execute it or replace it with your code.
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# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.
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import multiprocessing
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import subprocess
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import os
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from os import listdir
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from os.path import isfile, join
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import itertools
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import shutil
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numberOfOptimizedPatterns=0
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manager = multiprocessing.Manager()
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q = manager.Queue()
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def listener(q):
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'''listens for messages on the q, writes to file. '''
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with open("Results/OptimizationResults/results.csv", 'ab') as f:
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while 1:
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m = q.get()
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if m == 'kill':
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# f.write('killed')
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break
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f.write(m)
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f.flush()
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global numberOfOptimizedPatterns
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numberOfOptimizedPatterns=numberOfOptimizedPatterns+1
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print("Optimized patterns:"+ str(numberOfOptimizedPatterns))
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def optimize(fullPatternFilepath, reducedPatternFilepath):
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"""Call run(), catch exceptions."""
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dirname = os.path.abspath(os.path.dirname(__file__))
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executableFilepath = os.path.join(dirname, 'ReducedModelOptimization')
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try:
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p = args = (executableFilepath,
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fullPatternFilepath,
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reducedPatternFilepath,
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"1500",'Results/OptimizationResults/')
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# print("Optimizing " + fullPatternFilepath + "@" + reducedPatternFilepath)
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popen = subprocess.Popen(args, stdout=subprocess.PIPE)
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popen.wait()
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output = popen.stdout.read()
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q.put(output)
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except Exception as e:
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print("error: %s run(*%r, **%r)" % (e, fullPatternFilepath,reducedPatternFilepath))
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# Press the green button in the gutter to run the script.
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if __name__ == '__main__':
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fullPatternDirectory= "TestSet/FullPatterns"
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reducedPatternDirectory= "TestSet/ReducedPatterns"
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# Create results folder
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resultsDir = 'Results/OptimizationResults'
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if os.path.exists(resultsDir):
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shutil.rmtree(resultsDir)
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os.makedirs(resultsDir)
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# Write results
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fullPatternFilepaths=[join(fullPatternDirectory, fullPatternFilepath) for fullPatternFilepath in listdir(fullPatternDirectory) if isfile(join(fullPatternDirectory, fullPatternFilepath))]
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# print(fullPatternFilepaths)
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reducedPatternFilepaths=[join(reducedPatternDirectory,reducedPatternFilepath) for reducedPatternFilepath in listdir(reducedPatternDirectory) if isfile(join(reducedPatternDirectory, reducedPatternFilepath))]
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# print(reducedPatternFilepaths)
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#optimizationPairs=list(itertools.product(fullPatternFilepaths,reducedPatternFilepaths))
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optimizationPairs=list(itertools.product(fullPatternFilepaths,['TestSet/ReducedPatterns/CW_reduced.ply']))
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#print(optimizationPairs)
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pool=multiprocessing.Pool(23)
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watcher = pool.apply_async(listener, (q,))
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pool.starmap(optimize,optimizationPairs)
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# f.close()
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q.put('kill')
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pool.close()
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pool.join()
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#
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# Or just:
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# args = "bin/bar -c somefile.xml -d text.txt -r aString -f anotherString".split()
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# See PyCharm help at https://www.jetbrains.com/help/pycharm/
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