def get(self):
output = []
inputDict = {}
stocksize = int(self.get_argument("max-size", default="0",
strip=False))
for i in range(0, (len(self.request.arguments) / 2)):
inputDict.update({
int(
self.get_argument("size" + str(i),
default="0",
strip=False)):
int(self.get_argument("qty" + str(i), default="0",
strip=False))
})
a = GeneticSolver(inputDict, stocksize)
chromo = a.getResult()
i = 1
for gene in chromo.genes:
res = ""
for key, value in gene.getDict().iteritems():
if (value > 0):
res = res + "," + str(key) + "*" + str(value) + " "
output.append(res)
i += 1
self.render("UI/sol.html", outp=output, req=inputDict)
def get(self):
output=[]
inputDict = {}
stocksize=int(self.get_argument("max-size", default="0", strip=False))
for i in range(0,(len(self.request.arguments)/2)):
inputDict.update({int(self.get_argument("size"+str(i), default="0", strip=False)):int(self.get_argument("qty"+str(i), default="0", strip=False))})
a=GeneticSolver(inputDict,stocksize)
chromo = a.getResult()
i=1
for gene in chromo.genes:
res=""
for key,value in gene.getDict().iteritems():
if(value>0):
res=res+","+str(key)+"*"+str(value)+" "
output.append(res)
i+=1
self.render("UI/sol.html", outp=output,req=inputDict)
def run(self,inputDict,wasteThreshold,stocksize,algo,timestamp,slider):
waste=0
self.algo=algo
self.output=[]
self.leftoverArray=[]
currentThreads.update({timestamp:self})
print "hello"
print "****",wasteThreshold,inputDict,stocksize,algo,timestamp,"****"
if(algo=="genetic"):
print slider,1-slider
a=GeneticSolver(inputDict,stocksize,wasteThreshold,countParam=slider,reuseParam=1-slider)
self.solver=a
chromo = a.getResult()
i=1
for gene in chromo.genes:
res=""
for key,value in gene.getDict().iteritems():
if(value>0):
res=res+","+str(key)+"*"+str(value)+" "
self.output.append(res)
self.leftoverArray.append(gene.getLeftover(stocksize))
i+=1
waste=chromo.waste
else:
a=GreedySolver(inputDict,stocksize)
self.solver=a
cutPatterns = a.getResult()
i=1
realwaste=0
for combination in cutPatterns:
leftover=combination.getLeftover(stocksize)
self.leftoverArray.append(leftover)
if(leftover<wasteThreshold):
realwaste+=leftover
self.output.append( combination.printCombi())
i+=1
print "real waste = ",realwaste
waste=realwaste
a.progress=100
self.solver.waste=waste
def run(self, inputDict, wasteThreshold, stocksize, algo, timestamp,
slider):
waste = 0
self.algo = algo
self.output = []
self.leftoverArray = []
currentThreads.update({timestamp: self})
print "hello"
print "****", wasteThreshold, inputDict, stocksize, algo, timestamp, "****"
if (algo == "genetic"):
print slider, 1 - slider
a = GeneticSolver(inputDict,
stocksize,
wasteThreshold,
countParam=slider,
reuseParam=1 - slider)
self.solver = a
chromo = a.getResult()
i = 1
for gene in chromo.genes:
res = ""
for key, value in gene.getDict().iteritems():
if (value > 0):
res = res + "," + str(key) + "*" + str(value) + " "
self.output.append(res)
self.leftoverArray.append(gene.getLeftover(stocksize))
i += 1
waste = chromo.waste
else:
a = GreedySolver(inputDict, stocksize)
self.solver = a
cutPatterns = a.getResult()
i = 1
realwaste = 0
for combination in cutPatterns:
leftover = combination.getLeftover(stocksize)
self.leftoverArray.append(leftover)
if (leftover < wasteThreshold):
realwaste += leftover
self.output.append(combination.printCombi())
i += 1
print "real waste = ", realwaste
waste = realwaste
a.progress = 100
self.solver.waste = waste
'''
Created on Dec 16, 2014
@author: Gaurav
'''
from cuttingstock.GeneticSolver import GeneticSolver
if __name__ == '__main__':
'''
inputp={1380:22,1520:25,1560:12,1710:14,1820:18,1880:18,1930:20,2000:10,2050:12,2100:14,2140:16,2150:18,2200:20}
max_size=5600
max_waste_size=500
'''
inputp = {300: 8, 700: 9, 600: 6, 500: 8, 400: 4}
max_size = 2000
max_waste_size = 200
a = GeneticSolver(inputp, max_size, max_waste_size)
res = a.getResult()
#cutPatterns = a.getResult()
#for combination in cutPatterns:
# print combination," Waste = ",max_size-combination.getCombinationSize()
'''
Created on Dec 16, 2014
@author: Gaurav
'''
from cuttingstock.GeneticSolver import GeneticSolver
if __name__ == '__main__':
'''
inputp={1380:22,1520:25,1560:12,1710:14,1820:18,1880:18,1930:20,2000:10,2050:12,2100:14,2140:16,2150:18,2200:20}
max_size=5600
max_waste_size=500
'''
inputp={300:8,700:9,600:6,500:8,400:4}
max_size=2000
max_waste_size=200
a=GeneticSolver(inputp,max_size,max_waste_size)
res=a.getResult()
#cutPatterns = a.getResult()
#for combination in cutPatterns:
# print combination," Waste = ",max_size-combination.getCombinationSize()
