Added python script for optimizing a set of full patterns to match some reduced patterns.

src/main.py

@@ -0,0 +1,83 @@
+# This is a sample Python script.
+
+# Press Shift+F10 to execute it or replace it with your code.
+# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.
+
+
+import multiprocessing
+import subprocess
+import os
+from os import listdir
+from os.path import isfile, join
+import itertools
+import shutil
+
+numberOfOptimizedPatterns=0
+manager = multiprocessing.Manager()
+q = manager.Queue()
+
+def listener(q):
+    '''listens for messages on the q, writes to file. '''
+
+    with open("Results/OptimizationResults/results.csv", 'ab') as f:
+        while 1:
+            m = q.get()
+            if m == 'kill':
+                # f.write('killed')
+                break
+            f.write(m)
+            f.flush()
+            global numberOfOptimizedPatterns
+            numberOfOptimizedPatterns=numberOfOptimizedPatterns+1
+            print("Optimized patterns:"+ str(numberOfOptimizedPatterns))
+
+def optimize(fullPatternFilepath, reducedPatternFilepath):
+    """Call run(), catch exceptions."""
+    dirname = os.path.abspath(os.path.dirname(__file__))
+    executableFilepath = os.path.join(dirname, 'ReducedModelOptimization')
+    try:
+        p = args = (executableFilepath,
+            fullPatternFilepath,
+            reducedPatternFilepath,
+            "1500",'Results/OptimizationResults/')
+        # print("Optimizing " + fullPatternFilepath + "@" + reducedPatternFilepath)
+        popen = subprocess.Popen(args, stdout=subprocess.PIPE)
+        popen.wait()
+        output = popen.stdout.read()
+        q.put(output)
+
+
+    except Exception as e:
+        print("error: %s run(*%r, **%r)" % (e, fullPatternFilepath,reducedPatternFilepath))
+
+# Press the green button in the gutter to run the script.
+if __name__ == '__main__':
+    fullPatternDirectory= "TestSet/FullPatterns"
+    reducedPatternDirectory= "TestSet/ReducedPatterns"
+    # Create results folder
+    resultsDir = 'Results/OptimizationResults'
+    if os.path.exists(resultsDir):
+      shutil.rmtree(resultsDir)
+    os.makedirs(resultsDir)
+    # Write results
+    fullPatternFilepaths=[join(fullPatternDirectory, fullPatternFilepath) for fullPatternFilepath in listdir(fullPatternDirectory) if isfile(join(fullPatternDirectory, fullPatternFilepath))]
+    # print(fullPatternFilepaths)
+    reducedPatternFilepaths=[join(reducedPatternDirectory,reducedPatternFilepath) for reducedPatternFilepath in listdir(reducedPatternDirectory) if isfile(join(reducedPatternDirectory, reducedPatternFilepath))]
+    # print(reducedPatternFilepaths)
+    #optimizationPairs=list(itertools.product(fullPatternFilepaths,reducedPatternFilepaths))
+    optimizationPairs=list(itertools.product(fullPatternFilepaths,['TestSet/ReducedPatterns/CW_reduced.ply']))
+    #print(optimizationPairs)
+    pool=multiprocessing.Pool(23)
+
+    watcher = pool.apply_async(listener, (q,))
+    pool.starmap(optimize,optimizationPairs)
+
+    # f.close()
+    q.put('kill')
+    pool.close()
+    pool.join()
+    #
+    # Or just:
+    # args = "bin/bar -c somefile.xml -d text.txt -r aString -f anotherString".split()
+
+# See PyCharm help at https://www.jetbrains.com/help/pycharm/