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AllocatorJava.py
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AllocatorJava.py
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__author__ = 'Ivan'
from pyevolve import *
from pyevolve import G1DList
from pyevolve import GSimpleGA
from datetime import *
import multiprocessing
import numpy as np
import sys
from itertools import *
import copy
import itertools
from scipy import linalg as LA
from operator import le
from operator import itemgetter
from itertools import groupby
import sys
import json
class ComponentAllocator:
@property
def componentMatrix(self): return self
@property
def platformMatrix(self): return self
@property
def resourceMatrix(self): return self
@property
def numberOfComponents(self): return self
@property
def numberOfPlatforms(self): return self
@property
def qu(self): return self
@property
def tradeOffMatrixF(self): return self
@property
def resourceAvailabilty(self): return self
@property
def normalizedResourceMatrix(self): return self
@property
def eigenvector(self): return self
@property
def eigenvalue(self): return self
@property
def pairwiseMatrix(self): return self
@property
def consistencyRatio(self): return self
@property
def normalizedComponentMatrix(self): return self
@property
def normalizedPlatformMatrix(self): return self
@property
def bandwithMatrix(self): return self
@property
def debugModePrinting(self): return self
def createMatrix(self, mWidth, mHeight, minValue, maxValue, displayResult = False):
matrix = np.random.random_integers(minValue, maxValue, size=(mWidth, mHeight))
if mHeight == mWidth:
for i in range(0, mWidth):
matrix[i][i] = 1
matrix = (matrix+matrix.T)/2
if displayResult:
print matrix
return matrix
def solutionValid(self, genome):
#resourceDemand = [[0 for i in range(4)] for j in range(3)] # hmm.. why 4 and 3?
resourceDemand = [[0 for i in range(self.numberOfPlatforms)] for j in range(len(self.resourceMatrix))]
sw = 0
for d in range(0, len(self.tradeOffMatrixF) - 1):
for k in genome:
resourceDemand[d][k] += self.resourceMatrix[d][int(k)][sw]
sw += 1
sw = 0
# check if solution valid - resource constraint
if all(map(le, list(itertools.chain.from_iterable(resourceDemand)), list(itertools.chain.from_iterable(self.resourceAvailabilty)))):
return True
else:
return False
def whereDidIAllocate(self, component, indexes):
for i in range(0, len(indexes)):
if component in indexes[i]:
return i
def normalizeResourceMatrix(self):
self.normalizedResourceMatrix = copy.deepcopy(self.resourceMatrix)
maxVals = []
for n in range(0, len(self.resourceMatrix)):
maxVals.append(max(max(self.resourceMatrix[n])))
for k in range(0, len(maxVals)):
for i in range (0, len(self.resourceMatrix[0])):
for j in range (0, len(self.resourceMatrix[0][0])):
self.normalizedResourceMatrix[k][i][j] = self.resourceMatrix[k][i][j] / float(maxVals[k])
if self.debugModePrinting: print "Resource matrix normalized!"
def normalizeComponentMatrix(self):
self.normalizedComponentMatrix = copy.deepcopy(self.componentMatrix)
maxVal = 0
for n in range(0, len(self.componentMatrix)):
if maxVal < max(self.componentMatrix[n]):
maxVal = max(self.componentMatrix[n])
for i in range(0, len(self.componentMatrix)):
for j in range(0, len(self.componentMatrix)):
self.normalizedComponentMatrix[i][j] = self.normalizedComponentMatrix[i][j] / float(maxVal)
if self.debugModePrinting:
print "matrix: ", self.componentMatrix
print "max: ", maxVal, "matrix: ", self.normalizedComponentMatrix
def normalizePlatformMatirx(self):
self.normalizedPlatformMatrix = copy.deepcopy(self.platformMatrix)
maxVal = 0
for n in range(0, len(self.platformMatrix)):
if maxVal < max(self.platformMatrix[n]):
maxVal = max(self.platformMatrix[n])
for i in range(0, len(self.platformMatrix)):
for j in range(0, len(self.platformMatrix)):
self.normalizedPlatformMatrix[i][j] = self.normalizedPlatformMatrix[i][j] / float(maxVal)
if self.debugModePrinting:
print "matrix: ", self.platformMatrix
print "max: ", maxVal, "matrix: ", self.normalizedPlatformMatrix
def calculateEigenvalues(self):
eigenvalues, eigenvectors = LA.eig(self.pairwiseMatrix)
b = max(eigenvalues)
index = -1
for i in range(0, len(eigenvalues)):
if eigenvalues[i] == b:
index = i
self.eigenvalue = b.real
self.tradeOffMatrixF = []
for j in range(0, len(eigenvectors[0])):
self.tradeOffMatrixF.append(eigenvectors[j][0].real)
self.eigenvector = copy.deepcopy(self.tradeOffMatrixF)
sumVal = sum(self.tradeOffMatrixF)
# normalize (sum = 1)
for i in range(0,len(self.tradeOffMatrixF)):
self.tradeOffMatrixF[i] = self.tradeOffMatrixF[i] / float(sumVal)
if self.debugModePrinting:
print "final vector F: ", self.tradeOffMatrixF
print "final eigenvalue: ", self.eigenvalue
def calculateConsistency(self):
# hardcoded AHP table... - I am ashamed... :)
RI = [0, 0, 0.58, 0.9, 1.12, 1.24, 1.32, 1.41, 1.45, 1.49]
CI = (self.eigenvalue - len(self.pairwiseMatrix)) / (len(self.pairwiseMatrix) - 1)
self.consistencyRatio = CI / RI[len(self.pairwiseMatrix) - 1]
if self.debugModePrinting:
print "CI: ", CI
print "element: ", RI[len(self.pairwiseMatrix) - 1]
print self.consistencyRatio
def fitnessFunction(self, genome):
g, resourceWeight, weight, minPermutation, minWeight = 0,0,0,0, -1
for d in range(0, len(self.tradeOffMatrixF) - 1):
for k in genome:
resourceWeight += (self.normalizedResourceMatrix[d][int(k)][g] * self.tradeOffMatrixF[d])
g += 1
g = 0
communicationWeight = 0
for m in range(0,len(genome)):
for n in range (m,len(genome)):
if m != n and self.componentMatrix[m][n] != 0:
communicationWeight += self.normalizedComponentMatrix[m][n] * self.normalizedPlatformMatrix[genome[m]][genome[n]]
weight = (communicationWeight * (self.tradeOffMatrixF[len(self.tradeOffMatrixF) - 1])) + resourceWeight
if not self.solutionValid(genome):
weight = weight + 100000
return weight
def fitnessFunctionTester(self, genome):
g, resourceWeight, weight, minPermutation, minWeight = 0,0,0,0, -1
if self.debugModePrinting: print "Genom: ", genome
for d in range(0, len(self.tradeOffMatrixF) - 1):
for k in genome:
resourceWeight += (self.resourceMatrix[d][int(k)][g] * self.tradeOffMatrixF[d])
g += 1
g = 0
communicationWeight = 0
for m in range(0,len(genome)):
for n in range (m,len(genome)):
if genome[m] != genome[n] and self.componentMatrix[m][n] != 0:
communicationWeight += self.componentMatrix[m][n] * self.platformMatrix[genome[m]][genome[n]]
communicationWeight = (communicationWeight * (self.tradeOffMatrixF[len(self.tradeOffMatrixF) - 1]))
weight = communicationWeight + resourceWeight
return [weight,communicationWeight,resourceWeight]
#old initializator
def initialize(self, numberOfComponents, numberOfPlatforms, minWeight, maxWeight):
self.numberOfPlatforms = numberOfPlatforms
self.numberOfComponents = numberOfComponents
self.componentMatrix = [[0,1,0,0,0,0,0,0,0,0,0],
[1,0,5,0,3,0,0,0,0,0,0],
[0,5,0,5,3,0,0,0,0,0,0],
[0,0,5,0,0,1,3,7,0,0,0],
[0,3,3,0,0,9,9,3,0,0,0],
[0,0,0,1,9,0,0,0,7,7,0],
[0,0,0,3,9,0,0,0,0,0,7],
[0,0,0,7,3,0,0,0,0,0,0],
[0,0,0,0,0,7,0,0,0,0,0],
[0,0,0,0,0,7,0,0,0,0,0],
[0,0,0,0,0,0,7,0,0,0,0]]
self.platformMatrix = [[1,5,5,4],
[5,1,2,3],
[5,2,1,3],
[4,3,3,1]]
self.resourceMatrix = [[ #0 depth - execution time
[10,50,30,10,20,20,90,20,20,20,90],
[90,20,20,40,40,50,20,10,10,15,10],
[90,20,20,40,40,50,20,10,10,15,10],
[55,72,72,72,72,55,15,70,70,70,33]],
[ #1 depth - memory
[48,128,64,48,64,64,168,148,48,48,168],
[256,256,256,168,168,168,128,96,32,32,64],
[256,256,256,168,168,168,128,96,32,32,64],
[128,148,148,148,148,64,64,148,148,148,96]],
[ #2 depth - energy
[2,10,6,2,4,4,18,4,4,4,18],
[18,4,4,8,8,10,4,2,2,3,2],
[18,4,4,8,8,10,4,2,2,3,2],
[11,14,14,14,14,11,3,14,14,14,7]]]
self.resourceAvailabilty = [[100,150,150,100],
[256,640,640,256],
[50,25,25,15]]
##self.tradeOffMatrixF = [10,1] # append
self.pairwiseMatrix = [[1, 3, 0.1429, 3],
[0.3333,1,0.1111,3],
[7,9,1,9],
[0.3333,0.3333,0.1111,1]]
self.bandwithMatrix = [ [1, 50, 50, 50],
[50, 1, 50, 50],
[50, 50, 1, 50],
[50, 50, 50, 1]]
self.qu = multiprocessing.Queue()
def initializeWithJSON(self, parsedJsonArray, numberOfComponents, numberOfPlatforms, minWeight, maxWeight):
self.numberOfPlatforms = numberOfPlatforms
self.numberOfComponents = numberOfComponents
## 0 communicationMatrix, 1 resourceConsumptionMatrix, 2 platformCommunicationMatrix, 3 resourceAvailabilityMatrix, 4 bandwithMatrix
self.componentMatrix = parsedJsonArray[0]
self.resourceMatrix = parsedJsonArray[1]
self.platformMatrix = parsedJsonArray[2]
self.resourceAvailabilty = parsedJsonArray[3]
self.bandwithMatrix = parsedJsonArray[4]
self.pairwiseMatrix = parsedJsonArray[5]
if self.debugModePrinting:
print 'Extracted matrices: \n'
print self.componentMatrix
print self.resourceMatrix
print self.platformMatrix
print self.resourceAvailabilty
print self.bandwithMatrix
print self.pairwiseMatrix
return
def solveByBruteForce(self, skipSamePlatform = True, displayResult = False):
# need to check if solution is valid!!!
minPermutation = []
minWeight = -1
cnt = 0; percentage = 0; interactiveMode = 10; interactiveModeEnabled = True
startTime = datetime.now()
for i in product([i for i in range(0, self.numberOfPlatforms)], repeat = self.numberOfComponents):
#print "rezultat: ", i, "; valid: ", " res: ", self.fitnessFunction(i)
result = None
if skipSamePlatform:
if not all(x == i[0] for x in i):
result = self.fitnessFunction(i)
else:
result = self.fitnessFunction(i)
if result is not None:
if minWeight > result or minWeight == -1:
minWeight = result
minPermutation = i
endTime = datetime.now()
res = {"result": minPermutation, "score": self.fitnessFunctionTester(minPermutation), "type": skipSamePlatform,
"time":endTime-startTime, "method": "Brute Force"}
if self.debugModePrinting:
if not displayResult: self.printResult(res) # TODO!!! solutions are not
#print "Checking solution: ", self.solutionValid(minPermutation), self.fitnessFunctionTester(minPermutation)
else:
self.printResultJson(res)
return res
def solveByGeneticAlgorithm(self, skipSamePlatform = True, displayResult = False):
startTime = datetime.now();
genome = G1DList.G1DList(self.numberOfComponents)
genome.setParams(rangemin = 0, rangemax = self.numberOfPlatforms - 1)
genome.evaluator.set(self.fitnessFunction)
ga = GSimpleGA.GSimpleGA(genome)
ga.setMinimax(Consts.minimaxType["minimize"])
#ga.setInteractiveMode(False)
ga.setGenerations(50)
ga.setMutationRate(0.05)
ga.setCrossoverRate(0.95)
ga.setPopulationSize(50)
ga.selector.set(Selectors.GRouletteWheel)
#ga.setMultiProcessing(True)
ga.evolve(freq_stats = 0)
# end time measuring
endTime = datetime.now()
best = ga.bestIndividual()
minWeight = ga.bestIndividual().getFitnessScore()
result = []
for i in best: result.append(i)
res = {"result": result, "score": self.fitnessFunctionTester(result), "type":skipSamePlatform,
"time":endTime-startTime, "method": "Genetic Algorithm"}
if self.debugModePrinting:
if not displayResult: self.printResult(res)
print "Checking solution: ", self.solutionValid(result)
else:
self.printResultJson(res)
return res
def checkSolution(self, solution):
for i in range(0, len(self.platformMatrix)):
indices = [j for j, k in enumerate(solution) if k == i]
if len(indices) > 1:
if self.debugModePrinting: print "Za: ", i, " indeks: ", indices
for f in indices:
if self.debugModePrinting: print self.componentMatrix[i][f]
def printResult(self, result, tofile = False):
oldway = sys.stdout
if tofile:
sys.stdout = file("results.txt", "a")
print "****************** R E S U L T ********************"
print "Method: ", result["method"]
print "Result: ", result["result"]
print "Score: - final:", result["score"][0], ", communication ", result["score"][1], ", res ", result["score"][2]
print "Skipping all on one: ", result["type"]
print "Runtime: ", result["time"]
print "Solution space: ", self.numberOfPlatforms, "^", self.numberOfComponents, " = ", pow(self.numberOfPlatforms, self.numberOfComponents)
print "***************************************************"
if tofile: sys.stdout = oldway
def printResultJson(self, result):
resultString = []
resultString.append(result["result"])
resultString.append(result["score"][0])
resultString.append(result["score"][1])
resultString.append(result["score"][2])
resultString.append(str(result["time"]))
resultString.append(pow(self.numberOfPlatforms, self.numberOfComponents))
resultString.append(self.consistencyRatio)
resultString.append( self.solutionValid(result["result"]))
resultStringJson = json.dumps(resultString)
print resultStringJson
# end of class11
# app
if __name__ == '__main__':
#print 'Argument num: ', len(sys.argv)
#print 'List: ', str(sys.argv)
#print 'Type ', type(sys.argv)
#C:/Python26/Scripts/dist/AllocatorJava/AllocatorJava.exe
#inputString = "C:/Python26/Scripts/dist/AllocatorJava/AllocatorJava.exe [[0,1,0,0,0,0,0,0,0,0,0],[1,0,5,3,0,0,0,0,0,0,0],[0,5,0,3,0,5,0,0,0,0,0],[0,3,3,0,3,0,9,9,0,0,0],[0,0,0,3,0,3,0,0,0,0,0],[0,0,5,0,3,0,1,7,0,0,0],[0,0,0,9,0,1,0,0,7,7,0],[0,0,0,9,0,7,0,0,0,0,7],[0,0,0,0,0,0,7,0,0,0,0],[0,0,0,0,0,0,7,0,0,0,0],[0,0,0,0,0,0,0,7,0,0,0]] [[[10,90,90,55],[50,20,20,72],[30,20,20,72],[20,40,40,72],[20,10,10,70],[10,40,40,72],[20,50,50,55],[90,20,20,15],[20,10,10,70],[20,15,15,70],[90,10,10,33]],[[48,256,256,128],[128,256,256,148],[64,256,256,148],[64,168,168,148],[148,96,96,148],[48,168,168,148],[64,168,168,64],[168,128,128,64],[48,32,32,148],[48,32,32,148],[168,64,64,96]],[[2,18,18,11],[10,4,4,14],[6,4,4,14],[4,8,8,14],[4,2,2,14],[2,8,8,14],[4,10,10,11],[18,4,4,3],[4,2,2,14],[4,3,3,14],[18,2,2,7]]] [[0.0,5.0,5.0,5.0],[5.0,0.0,2.0,3.0],[5.0,2.0,0.0,3.0],[5.0,3.0,3.0,0.0]] [[100,150,150,100],[256,640,640,256],[50,25,25,15]] [[0.0,512.0,512.0,512.0],[512.0,0.0,512.0,512.0],[512.0,512.0,0.0,512.0],[512.0,512.0,512.0,0.0]] [[1.0,3.0,0.14285715,3.0],[0.33333334,1.0,0.11111111,3.0],[7.0,9.0,1.0,9.0],[0.33333334,0.33333334,0.11111111,1.0]]"
#inputString = "C:/Python26/python.exe C:/Doc/Dropbox/Dropbox/Private/Python/AllocatorJava.py [[0,1,0,0,0,0,0,0,0,0,0],[1,0,5,3,0,0,0,0,0,0,0],[0,5,0,3,0,5,0,0,0,0,0],[0,3,3,0,3,0,9,9,0,0,0],[0,0,0,3,0,3,0,0,0,0,0],[0,0,5,0,3,0,1,7,0,0,0],[0,0,0,9,0,1,0,0,7,7,0],[0,0,0,9,0,7,0,0,0,0,7],[0,0,0,0,0,0,7,0,0,0,0],[0,0,0,0,0,0,7,0,0,0,0],[0,0,0,0,0,0,0,7,0,0,0]] [[[10,90,90,55],[50,20,20,72],[30,20,20,72],[20,40,40,72],[20,10,10,70],[10,40,40,72],[20,50,50,55],[90,20,20,15],[20,10,10,70],[20,15,15,70],[90,10,10,33]],[[48,256,256,128],[128,256,256,148],[64,256,256,148],[64,168,168,148],[148,96,96,148],[48,168,168,148],[64,168,168,64],[168,128,128,64],[48,32,32,148],[48,32,32,148],[168,64,64,96]],[[2,18,18,11],[10,4,4,14],[6,4,4,14],[4,8,8,14],[4,2,2,14],[2,8,8,14],[4,10,10,11],[18,4,4,3],[4,2,2,14],[4,3,3,14],[18,2,2,7]]] [[0.0,5.0,5.0,5.0],[5.0,0.0,2.0,3.0],[5.0,2.0,0.0,3.0],[5.0,3.0,3.0,0.0]] [[100,150,150,100],[256,640,640,256],[50,25,25,15]] [[0.0,512.0,512.0,512.0],[512.0,0.0,512.0,512.0],[512.0,512.0,0.0,512.0],[512.0,512.0,512.0,0.0]] [[0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0]]"
#string = "[[0,1,0,0,0,0,0,0,0,0,0],[1,0,5,3,0,0,0,0,0,0,0],[0,5,0,3,0,5,0,0,0,0,0],[0,3,3,0,3,0,9,9,0,0,0],[0,0,0,3,0,3,0,0,0,0,0],[0,0,5,0,3,0,1,7,0,0,0],[0,0,0,9,0,1,0,0,7,7,0],[0,0,0,9,0,7,0,0,0,0,7],[0,0,0,0,0,0,7,0,0,0,0],[0,0,0,0,0,0,7,0,0,0,0],[0,0,0,0,0,0,0,7,0,0,0]] [[[10,90,90,55],[50,20,20,72],[30,20,20,72],[20,40,40,72],[20,10,10,70],[10,40,40,72],[20,50,50,55],[90,20,20,15],[20,10,10,70],[20,15,15,70],[90,10,10,33]],[[48,256,256,128],[128,256,256,148],[64,256,256,148],[64,168,168,148],[148,96,96,148],[48,168,168,148],[64,168,168,64],[168,128,128,64],[48,32,32,148],[48,32,32,148],[168,64,64,96]],[[2,18,18,11],[10,4,4,14],[6,4,4,14],[4,8,8,14],[4,2,2,14],[2,8,8,14],[4,10,10,11],[18,4,4,3],[4,2,2,14],[4,3,3,14],[18,2,2,7]]] [[0.0,5.0,5.0,5.0],[5.0,0.0,2.0,3.0],[5.0,2.0,0.0,3.0],[5.0,3.0,3.0,0.0]] [[100,150,150,100],[256,640,640,256],[50,25,25,15]] [[0.0,512.0,512.0,512.0],[512.0,0.0,512.0,512.0],[512.0,512.0,0.0,512.0],[512.0,512.0,512.0,0.0]] [[0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0]]"
#string = "[[0,1,0,0,0,0,0,0,0,0,0],[1,0,5,3,0,0,0,0,0,0,0],[0,5,0,3,0,5,0,0,0,0,0],[0,3,3,0,3,0,9,9,0,0,0],[0,0,0,3,0,3,0,0,0,0,0],[0,0,5,0,3,0,1,7,0,0,0],[0,0,0,9,0,1,0,0,7,7,0],[0,0,0,9,0,7,0,0,0,0,7],[0,0,0,0,0,0,7,0,0,0,0],[0,0,0,0,0,0,7,0,0,0,0],[0,0,0,0,0,0,0,7,0,0,0]] [[[10,90,90,55],[50,20,20,72],[30,20,20,72],[20,40,40,72],[20,10,10,70],[10,40,40,72],[20,50,50,55],[90,20,20,15],[20,10,10,70],[20,15,15,70],[90,10,10,33]],[[48,256,256,128],[128,256,256,148],[64,256,256,148],[64,168,168,148],[148,96,96,148],[48,168,168,148],[64,168,168,64],[168,128,128,64],[48,32,32,148],[48,32,32,148],[168,64,64,96]],[[2,18,18,11],[10,4,4,14],[6,4,4,14],[4,8,8,14],[4,2,2,14],[2,8,8,14],[4,10,10,11],[18,4,4,3],[4,2,2,14],[4,3,3,14],[18,2,2,7]]] [[0.0,5.0,5.0,5.0],[5.0,0.0,2.0,3.0],[5.0,2.0,0.0,3.0],[5.0,3.0,3.0,0.0]] [[100,150,150,100],[256,640,640,256],[50,25,25,15]] [[0.0,512.0,512.0,512.0],[512.0,0.0,512.0,512.0],[512.0,512.0,0.0,512.0],[512.0,512.0,512.0,0.0]] [[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0]]"
#string = "[[0,50,20],[50,0,30],[20,30,0]] [[[110,0],[100,0],[10,0]],[[20,0],[50,0],[40,0]]] [[0.0,50.0],[50.0,0.0]] [[256,64],[150,50]] [[0.0,128.0],[128.0,0.0]] [[1.0,5.0,7.0],[0.2,1.0,0.33333334],[0.14285715,3.0,1.0]]"
#string = "[[0,50,20],[50,0,30],[20,30,0]] [[[110,0],[100,0],[10,0]],[[20,0],[50,0],[40,0]]] [[0.0,50.0],[50.0,0.0]] [[1000,1000],[1000,1000]] [[0.0,128.0],[128.0,0.0]] [[1.0,1.0,1.0],[1.0,1.0,2.0],[1.0,1.0,2.0]]"
#string = "[[0,50,20],[50,0,30],[20,30,0]] [[[110,90],[100,120],[20,80]],[[20,20],[50,20],[40,30]]] [[0.0,50.0],[50.0,0.0]] [[256,128],[128,64]] [[0.0,128.0],[128.0,0.0]] [[0.0,0.0,0.0],[0.0,0.0,0.0],[0.0,0.0,0.0]]"
#string = "[[0,50,20],[50,0,30],[20,30,0]] [[[110,90],[100,120],[20,80]],[[20,20],[50,20],[40,30]]] [[0.0,50.0],[50.0,0.0]] [[256,128],[48,64]] [[0.0,128.0],[128.0,0.0]] [[0.0,0.0,0.0],[0.0,0.0,0.0],[0.0,0.0,0.0]]"
#string = "[[0,50,20],[50,0,30],[20,30,0]] [[[110,90],[100,120],[20,80]],[[20,20],[50,20],[40,30]]] [[0.0,50.0],[50.0,0.0]] [[256,128],[64,64]] [[0.0,128.0],[128.0,0.0]] [[0.0,0.0,0.0],[0.0,0.0,0.0],[0.0,0.0,0.0]]"
inputCommandsJson = []
del sys.argv[0]
numOfComponents = int(sys.argv[0])
numOfPlatforms = int(sys.argv[1])
del sys.argv[0]
del sys.argv[0]
#numOfComponents = 3
#numOfPlatforms = 2
for i in sys.argv:
inputCommandsJson.append(json.loads(i))
# for local
#for i in string.split(" "):
# inputCommandsJson.append(json.loads(i))
# transpose resource availabilty matrix
numpyArray = np.array(inputCommandsJson[1])[np.newaxis]
for i in range(0, len(numpyArray[0])):
inputCommandsJson[1][i] = numpyArray[0][i].T.tolist()
c = ComponentAllocator()
c.debugModePrinting = False # silent
#c.initialize(numOfComponents,numOfPlatforms,1,9)
c.initializeWithJSON(inputCommandsJson, numOfComponents, numOfPlatforms, 1, 9)
#normalize matrices and calculate model consistency
c.normalizeResourceMatrix()
c.calculateEigenvalues()
c.calculateConsistency()
c.normalizeComponentMatrix()
c.normalizePlatformMatirx()
# solve
#c.solveByBruteForce()
#c.solveByGeneticAlgorithm()
if pow(numOfPlatforms, numOfComponents) >= 4096:
#print 'genetic algorithm'
c.solveByGeneticAlgorithm()
else:
#print pow(numOfPlatforms, numOfComponents)
c.solveByBruteForce()