commit
169ffd8ef9
10
DAS/block.py
10
DAS/block.py
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@ -9,7 +9,6 @@ class Block:
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def __init__(self, blockSizeR, blockSizeRK=0, blockSizeC=0, blockSizeCK=0):
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"""Initialize the block with a data array of blocksize^2 zeros.
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BlockSizeR: row size
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BlockSizeRK: original row size, before erasure coding to BlocksSizeR
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BlockSizeC: column size (i.e. number of rows)
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@ -51,12 +50,14 @@ class Block:
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"""
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line = self.data[id::self.blockSizeR]
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success = line.count(1)
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repairedSamples = 0
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if success >= self.blockSizeCK:
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ret = ~line
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self.data[id::self.blockSizeR] = 1
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repairedSamples = len(line) - success
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else:
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ret = zeros(self.blockSizeC)
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return ret
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return ret, repairedSamples
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def getRow(self, rowID):
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"""It returns the block row corresponding to rowID."""
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@ -72,12 +73,14 @@ class Block:
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"""
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line = self.data[id*self.blockSizeR:(id+1)*self.blockSizeR]
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success = line.count(1)
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repairedSamples = 0
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if success >= self.blockSizeRK:
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ret = ~line
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self.data[id*self.blockSizeR:(id+1)*self.blockSizeR] = 1
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repairedSamples = len(line) - success
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else:
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ret = zeros(self.blockSizeR)
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return ret
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return ret, repairedSamples
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def print(self):
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"""It prints the block in the terminal (outside of the logger rules))."""
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@ -89,4 +92,3 @@ class Block:
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line += "%i" % self.data[(i*self.blockSizeR)+j]
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print(line+"|")
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print(dash)
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@ -100,4 +100,4 @@ class Observer:
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"RxDup": {"mean": meanOrNan(RxDup), "max": maxOrNan(RxDup)},
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}
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return trafficStats
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return trafficStats
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@ -16,6 +16,26 @@ class Result:
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self.tta = -1
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self.missingVector = []
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self.metrics = {}
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self.amImalicious = [0] * shape.numberNodes
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self.msgSentCount = [0] * shape.numberNodes
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self.msgRecvCount = [0] * shape.numberNodes
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self.sampleRecvCount = [0] * shape.numberNodes
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self.restoreRowCount = [0] * shape.numberNodes
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self.restoreColumnCount = [0] * shape.numberNodes
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self.repairedSampleCount = [0] * shape.numberNodes
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self.numberNodes = shape.numberNodes
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self.class1ratio = shape.class1ratio
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def copyValidators(self, validators):
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"""Copy information from simulator.validators to result."""
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for i in range(0,self.shape.numberNodes):
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self.amImalicious[i] = validators[i].amImalicious
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self.msgSentCount[i] = validators[i].msgSentCount
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self.msgRecvCount[i] = validators[i].msgRecvCount
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self.sampleRecvCount[i] = validators[i].sampleRecvCount
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self.restoreRowCount[i] = validators[i].restoreRowCount
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self.restoreColumnCount[i] = validators[i].restoreColumnCount
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self.repairedSampleCount[i] = validators[i].repairedSampleCount
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def populate(self, shape, config, missingVector):
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"""It populates part of the result data inside a vector."""
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10
DAS/shape.py
10
DAS/shape.py
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@ -2,9 +2,8 @@
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class Shape:
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"""This class represents a set of parameters for a specific simulation."""
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def __init__(self, blockSizeR, blockSizeRK, blockSizeC, blockSizeCK,
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numberNodes, failureModel, failureRate, class1ratio, chiR, chiC, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run):
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def __init__(self, blockSizeR, blockSizeRK, blockSizeC, blockSizeCK,
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numberNodes, failureModel, failureRate, maliciousNodes, class1ratio, chiR, chiC, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run):
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"""Initializes the shape with the parameters passed in argument."""
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self.run = run
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self.numberNodes = numberNodes
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@ -14,6 +13,7 @@ class Shape:
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self.blockSizeCK = blockSizeCK
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self.failureModel = failureModel
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self.failureRate = failureRate
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self.maliciousNodes = maliciousNodes
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self.netDegree = netDegree
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self.class1ratio = class1ratio
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self.chiR = chiR
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@ -28,7 +28,7 @@ class Shape:
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def __repr__(self):
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"""Returns a printable representation of the shape"""
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shastr = ""
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shastr += "bsrn-"+str(self.blockSizeR)
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shastr += "-bsrn-"+str(self.blockSizeR)
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shastr += "-bsrk-"+str(self.blockSizeRK)
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shastr += "-bscn-"+str(self.blockSizeC)
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shastr += "-bsck-"+str(self.blockSizeCK)
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@ -45,9 +45,9 @@ class Shape:
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shastr += "-bwup2-"+str(self.bwUplink2)
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shastr += "-nd-"+str(self.netDegree)
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shastr += "-r-"+str(self.run)
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shastr += "-mn-"+str(self.maliciousNodes)
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return shastr
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def setSeed(self, seed):
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"""Adds the random seed to the shape"""
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self.randomSeed = seed
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@ -47,7 +47,8 @@ class Simulator:
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"""It initializes all the validators in the network."""
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self.glob = Observer(self.logger, self.shape)
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self.validators = []
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if self.config.evenLineDistribution:
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evenLineDistribution = False
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if evenLineDistribution:
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lightNodes = int(self.shape.numberNodes * self.shape.class1ratio)
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heavyNodes = self.shape.numberNodes - lightNodes
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@ -59,7 +60,7 @@ class Simulator:
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rows = list(range(self.shape.blockSizeC)) * (int(totalRows/self.shape.blockSizeC)+1)
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columns = list(range(self.shape.blockSizeR)) * (int(totalColumns/self.shape.blockSizeR)+1)
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rows = rows[0:totalRows]
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columns = columns[0:totalRows]
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columns = columns[0:totalColumns]
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random.shuffle(rows)
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random.shuffle(columns)
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offsetR = lightVal*self.shape.chiR
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@ -73,8 +74,28 @@ class Simulator:
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assignedRows = []
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assignedCols = []
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maliciousNodesCount = int((self.shape.maliciousNodes / 100) * self.shape.numberNodes)
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remainingMaliciousNodes = maliciousNodesCount
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for i in range(self.shape.numberNodes):
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if self.config.evenLineDistribution:
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if i == 0:
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amImalicious_value = 0
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else:
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if not self.config.randomizeMaliciousNodes:
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# Assign based on predefined pattern when randomization is turned off
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if i < maliciousNodesCount + 1:
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amImalicious_value = 1
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else:
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amImalicious_value = 0
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else:
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# Randomly assign amImalicious_value when randomization is turned on
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if remainingMaliciousNodes > 0 and random.random() < (self.shape.maliciousNodes / 100):
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amImalicious_value = 1
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remainingMaliciousNodes -= 1
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else:
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amImalicious_value = 0
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if evenLineDistribution:
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if i < int(lightVal/self.shape.vpn1): # First start with the light nodes
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startR = i *self.shape.chiR*self.shape.vpn1
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endR = (i+1)*self.shape.chiR*self.shape.vpn1
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@ -88,7 +109,7 @@ class Simulator:
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endC = offsetC+((j+1)*self.shape.chiC*self.shape.vpn2)
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r = rows[startR:endR]
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c = columns[startC:endC]
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val = Validator(i, int(not i!=0), self.logger, self.shape, self.config, r, c)
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val = Validator(i, int(not i!=0), amImalicious_value, self.logger, self.shape, self.config, r, c)
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self.logger.debug("Node %d has row IDs: %s" % (val.ID, val.rowIDs), extra=self.format)
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self.logger.debug("Node %d has column IDs: %s" % (val.ID, val.columnIDs), extra=self.format)
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assignedRows = assignedRows + list(r)
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@ -97,7 +118,7 @@ class Simulator:
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self.nodeColumns.append(val.columnIDs)
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else:
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val = Validator(i, int(not i!=0), self.logger, self.shape, self.config)
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val = Validator(i, int(not i!=0), amImalicious_value, self.logger, self.shape, self.config)
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if i == self.proposerID:
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val.initBlock()
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else:
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@ -151,7 +172,7 @@ class Simulator:
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val2.rowNeighbors[id].update({val1.ID : Neighbor(val1, 0, self.shape.blockSizeR)})
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for id in range(self.shape.blockSizeR):
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if not columnChannels[id]:
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self.logger.error("No nodes for column %d !" % id, extra=self.format)
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continue
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@ -230,7 +251,8 @@ class Simulator:
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self.glob.checkRowsColumns(self.validators)
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for i in range(0,self.shape.numberNodes):
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if i == self.proposerID:
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self.validators[i].initBlock()
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# self.validators[i].initBlock()
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self.logger.warning("I am a block proposer.", extra=self.format)
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else:
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self.validators[i].logIDs()
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arrived, expected, ready, validatedall, validated = self.glob.checkStatus(self.validators)
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@ -238,13 +260,17 @@ class Simulator:
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missingVector = []
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progressVector = []
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trafficStatsVector = []
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malicious_nodes_not_added_count = 0
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steps = 0
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while(True):
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missingVector.append(missingSamples)
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self.logger.debug("Expected Samples: %d" % expected, extra=self.format)
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self.logger.debug("Missing Samples: %d" % missingSamples, extra=self.format)
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oldMissingSamples = missingSamples
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self.logger.debug("PHASE SEND %d" % steps, extra=self.format)
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for i in range(0,self.shape.numberNodes):
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self.validators[i].send()
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if not self.validators[i].amImalicious:
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self.validators[i].send()
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self.logger.debug("PHASE RECEIVE %d" % steps, extra=self.format)
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for i in range(1,self.shape.numberNodes):
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self.validators[i].receiveRowsColumns()
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@ -307,6 +333,25 @@ class Simulator:
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break
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steps += 1
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for i in range(0,self.shape.numberNodes):
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if not self.validators[i].amIaddedToQueue :
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malicious_nodes_not_added_count += 1
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for i in range(0,self.shape.numberNodes):
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column_ids = []
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row_ids = []
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for rID in self.validators[i].rowIDs:
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row_ids.append(rID)
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for cID in self.validators[i].columnIDs:
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column_ids.append(cID)
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self.logger.debug("List of columnIDs for %d node: %s", i, column_ids, extra=self.format)
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self.logger.debug("List of rowIDs for %d node: %s", i, row_ids, extra=self.format)
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self.logger.debug("Number of malicious nodes not added to the send queue: %d" % malicious_nodes_not_added_count, extra=self.format)
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malicious_nodes_not_added_percentage = (malicious_nodes_not_added_count * 100)/(self.shape.numberNodes)
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self.logger.debug("Percentage of malicious nodes not added to the send queue: %d" % malicious_nodes_not_added_percentage, extra=self.format)
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progress = pd.DataFrame(progressVector)
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if self.config.saveRCdist:
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self.result.addMetric("rowDist", self.distR)
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@ -314,5 +359,5 @@ class Simulator:
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if self.config.saveProgress:
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self.result.addMetric("progress", progress.to_dict(orient='list'))
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self.result.populate(self.shape, self.config, missingVector)
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self.result.copyValidators(self.validators)
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return self.result
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167
DAS/validator.py
167
DAS/validator.py
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@ -38,7 +38,7 @@ class Validator:
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"""It returns the validator ID."""
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return str(self.ID)
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def __init__(self, ID, amIproposer, logger, shape, config, rows = None, columns = None):
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def __init__(self, ID, amIproposer, amImalicious, logger, shape, config, rows = None, columns = None):
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"""It initializes the validator with the logger shape and rows/columns.
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If rows/columns are specified these are observed, otherwise (default)
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@ -54,6 +54,15 @@ class Validator:
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self.receivedQueue = deque()
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self.sendQueue = deque()
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self.amIproposer = amIproposer
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self.amImalicious = amImalicious
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self.amIaddedToQueue = 0
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self.msgSentCount = 0
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self.msgRecvCount = 0
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self.sampleSentCount = 0
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self.sampleRecvCount = 0
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self.restoreRowCount = 0
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self.restoreColumnCount = 0
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self.repairedSampleCount = 0
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self.logger = logger
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if self.shape.chiR < 1 and self.shape.chiC < 1:
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self.logger.error("Chi has to be greater than 0", extra=self.format)
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@ -196,8 +205,10 @@ class Validator:
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if not self.receivedBlock.getSegment(rID, cID):
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self.logger.trace("Recv new: %d->%d: %d,%d", src, self.ID, rID, cID, extra=self.format)
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self.receivedBlock.setSegment(rID, cID)
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self.sampleRecvCount += 1
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if self.perNodeQueue or self.perNeighborQueue:
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self.receivedQueue.append((rID, cID))
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self.msgRecvCount += 1
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else:
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self.logger.trace("Recv DUP: %d->%d: %d,%d", src, self.ID, rID, cID, extra=self.format)
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self.statsRxDupInSlot += 1
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@ -205,17 +216,23 @@ class Validator:
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def addToSendQueue(self, rID, cID):
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"""Queue a segment for forwarding."""
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if self.perNodeQueue:
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if self.perNodeQueue and not self.amImalicious:
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self.sendQueue.append((rID, cID))
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self.amIaddedToQueue = 1
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self.msgSentCount += 1
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if self.perNeighborQueue:
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if self.perNeighborQueue and not self.amImalicious:
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if rID in self.rowIDs:
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for neigh in self.rowNeighbors[rID].values():
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neigh.sendQueue.append(cID)
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self.amIaddedToQueue = 1
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self.msgSentCount += 1
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if cID in self.columnIDs:
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for neigh in self.columnNeighbors[cID].values():
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neigh.sendQueue.append(rID)
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self.amIaddedToQueue = 1
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self.msgSentCount += 1
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def receiveRowsColumns(self):
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"""Finalize time step by merging newly received segments in state."""
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@ -232,11 +249,14 @@ class Validator:
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neigh.received |= neigh.receiving
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neigh.receiving.setall(0)
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for rID, cID in self.receivedQueue:
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self.msgRecvCount += 1
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# add newly received segments to the send queue
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if self.perNodeQueue or self.perNeighborQueue:
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while self.receivedQueue:
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(rID, cID) = self.receivedQueue.popleft()
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self.addToSendQueue(rID, cID)
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if not self.amImalicious:
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self.addToSendQueue(rID, cID)
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def updateStats(self):
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"""It updates the stats related to sent and received data."""
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@ -250,25 +270,27 @@ class Validator:
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def checkSegmentToNeigh(self, rID, cID, neigh):
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"""Check if a segment should be sent to a neighbor."""
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if (neigh.sent | neigh.received).count(1) >= (self.sendLineUntilC if neigh.dim else self.sendLineUntilR):
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return False # sent enough, other side can restore
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i = rID if neigh.dim else cID
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if not neigh.sent[i] and not neigh.received[i] :
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return True
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if not self.amImalicious:
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if (neigh.sent | neigh.received).count(1) >= (self.sendLineUntilC if neigh.dim else self.sendLineUntilR):
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return False # sent enough, other side can restore
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i = rID if neigh.dim else cID
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if not neigh.sent[i] and not neigh.received[i] :
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return True
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else:
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return False # received or already sent
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return False # received or already sent or malicious
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def sendSegmentToNeigh(self, rID, cID, neigh):
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"""Send segment to a neighbor (without checks)."""
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self.logger.trace("sending %d/%d to %d", rID, cID, neigh.node.ID, extra=self.format)
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i = rID if neigh.dim else cID
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neigh.sent[i] = 1
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neigh.node.receiveSegment(rID, cID, self.ID)
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self.statsTxInSlot += 1
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if not self.amImalicious:
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self.logger.trace("sending %d/%d to %d", rID, cID, neigh.node.ID, extra=self.format)
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i = rID if neigh.dim else cID
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neigh.sent[i] = 1
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neigh.node.receiveSegment(rID, cID, self.ID)
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self.statsTxInSlot += 1
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def checkSendSegmentToNeigh(self, rID, cID, neigh):
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"""Check and send a segment to a neighbor if needed."""
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if self.checkSegmentToNeigh(rID, cID, neigh):
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if self.checkSegmentToNeigh(rID, cID, neigh) and not self.amImalicious:
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self.sendSegmentToNeigh(rID, cID, neigh)
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return True
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else:
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@ -283,16 +305,18 @@ class Validator:
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while self.sendQueue:
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(rID, cID) = self.sendQueue[0]
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if rID in self.rowIDs:
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if rID in self.rowIDs and not self.amImalicious:
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for _, neigh in shuffledDict(self.rowNeighbors[rID], self.shuffleNeighbors):
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self.checkSendSegmentToNeigh(rID, cID, neigh)
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if not self.amImalicious:
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self.checkSendSegmentToNeigh(rID, cID, neigh)
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if self.statsTxInSlot >= self.bwUplink:
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return
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if cID in self.columnIDs:
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if cID in self.columnIDs and not self.amImalicious:
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for _, neigh in shuffledDict(self.columnNeighbors[cID], self.shuffleNeighbors):
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self.checkSendSegmentToNeigh(rID, cID, neigh)
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if not self.amImalicious:
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self.checkSendSegmentToNeigh(rID, cID, neigh)
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|
||||
if self.statsTxInSlot >= self.bwUplink:
|
||||
return
|
||||
|
@ -317,19 +341,20 @@ class Validator:
|
|||
# collect and shuffle
|
||||
for rID, neighs in self.rowNeighbors.items():
|
||||
for neigh in neighs.values():
|
||||
if (neigh.sendQueue):
|
||||
if (neigh.sendQueue) and not self.amImalicious:
|
||||
queues.append((0, rID, neigh))
|
||||
|
||||
for cID, neighs in self.columnNeighbors.items():
|
||||
for neigh in neighs.values():
|
||||
if (neigh.sendQueue):
|
||||
if (neigh.sendQueue) and not self.amImalicious:
|
||||
queues.append((1, cID, neigh))
|
||||
|
||||
for dim, lineID, neigh in shuffled(queues, self.shuffleQueues):
|
||||
if dim == 0:
|
||||
self.checkSendSegmentToNeigh(lineID, neigh.sendQueue.popleft(), neigh)
|
||||
else:
|
||||
self.checkSendSegmentToNeigh(neigh.sendQueue.popleft(), lineID, neigh)
|
||||
if not self.amImalicious:
|
||||
if dim == 0:
|
||||
self.checkSendSegmentToNeigh(lineID, neigh.sendQueue.popleft(), neigh)
|
||||
else:
|
||||
self.checkSendSegmentToNeigh(neigh.sendQueue.popleft(), lineID, neigh)
|
||||
progress = True
|
||||
if self.statsTxInSlot >= self.bwUplink:
|
||||
return
|
||||
|
@ -345,32 +370,32 @@ class Validator:
|
|||
def collectSegmentsToSend():
|
||||
# yields list of segments to send as (dim, lineID, id)
|
||||
segmentsToSend = []
|
||||
for rID, neighs in self.rowNeighbors.items():
|
||||
line = self.getRow(rID)
|
||||
needed = zeros(self.shape.blockSizeR)
|
||||
for neigh in neighs.values():
|
||||
sentOrReceived = neigh.received | neigh.sent
|
||||
if sentOrReceived.count(1) < self.sendLineUntilR:
|
||||
needed |= ~sentOrReceived
|
||||
needed &= line
|
||||
if (needed).any():
|
||||
for i in range(len(needed)):
|
||||
if needed[i]:
|
||||
segmentsToSend.append((0, rID, i))
|
||||
|
||||
for cID, neighs in self.columnNeighbors.items():
|
||||
line = self.getColumn(cID)
|
||||
needed = zeros(self.shape.blockSizeC)
|
||||
for neigh in neighs.values():
|
||||
sentOrReceived = neigh.received | neigh.sent
|
||||
if sentOrReceived.count(1) < self.sendLineUntilC:
|
||||
needed |= ~sentOrReceived
|
||||
needed &= line
|
||||
if (needed).any():
|
||||
for i in range(len(needed)):
|
||||
if needed[i]:
|
||||
segmentsToSend.append((1, cID, i))
|
||||
if not self.amImalicious:
|
||||
for rID, neighs in self.rowNeighbors.items():
|
||||
line = self.getRow(rID)
|
||||
needed = zeros(self.shape.blockSizeR)
|
||||
for neigh in neighs.values():
|
||||
sentOrReceived = neigh.received | neigh.sent
|
||||
if sentOrReceived.count(1) < self.sendLineUntilR:
|
||||
needed |= ~sentOrReceived
|
||||
needed &= line
|
||||
if (needed).any():
|
||||
for i in range(len(needed)):
|
||||
if needed[i]:
|
||||
segmentsToSend.append((0, rID, i))
|
||||
|
||||
for cID, neighs in self.columnNeighbors.items():
|
||||
line = self.getColumn(cID)
|
||||
needed = zeros(self.shape.blockSizeC)
|
||||
for neigh in neighs.values():
|
||||
sentOrReceived = neigh.received | neigh.sent
|
||||
if sentOrReceived.count(1) < self.sendLineUntilC:
|
||||
needed |= ~sentOrReceived
|
||||
needed &= line
|
||||
if (needed).any():
|
||||
for i in range(len(needed)):
|
||||
if needed[i]:
|
||||
segmentsToSend.append((1, cID, i))
|
||||
return segmentsToSend
|
||||
|
||||
def nextSegment():
|
||||
|
@ -380,12 +405,12 @@ class Validator:
|
|||
for dim, lineID, id in self.segmentShuffleGen:
|
||||
if dim == 0:
|
||||
for _, neigh in shuffledDict(self.rowNeighbors[lineID], self.shuffleNeighbors):
|
||||
if self.checkSegmentToNeigh(lineID, id, neigh):
|
||||
if self.checkSegmentToNeigh(lineID, id, neigh) and not self.amImalicious:
|
||||
yield((lineID, id, neigh))
|
||||
break
|
||||
else:
|
||||
for _, neigh in shuffledDict(self.columnNeighbors[lineID], self.shuffleNeighbors):
|
||||
if self.checkSegmentToNeigh(id, lineID, neigh):
|
||||
if self.checkSegmentToNeigh(id, lineID, neigh) and not self.amImalicious:
|
||||
yield((id, lineID, neigh))
|
||||
break
|
||||
|
||||
|
@ -400,7 +425,8 @@ class Validator:
|
|||
|
||||
for rid, cid, neigh in nextSegment():
|
||||
# segments are checked just before yield, so we can send directly
|
||||
self.sendSegmentToNeigh(rid, cid, neigh)
|
||||
if not self.amImalicious:
|
||||
self.sendSegmentToNeigh(rid, cid, neigh)
|
||||
|
||||
if self.statsTxInSlot >= self.bwUplink:
|
||||
if not self.segmentShuffleSchedulerPersist:
|
||||
|
@ -425,7 +451,7 @@ class Validator:
|
|||
cID = random.randrange(0, self.shape.blockSizeR)
|
||||
if self.block.getSegment(rID, cID) :
|
||||
neigh = random.choice(list(self.rowNeighbors[rID].values()))
|
||||
if self.checkSegmentToNeigh(rID, cID, neigh):
|
||||
if self.checkSegmentToNeigh(rID, cID, neigh) and not self.amImalicious:
|
||||
yield(rID, cID, neigh)
|
||||
t = tries
|
||||
if self.columnIDs:
|
||||
|
@ -433,14 +459,15 @@ class Validator:
|
|||
rID = random.randrange(0, self.shape.blockSizeC)
|
||||
if self.block.getSegment(rID, cID) :
|
||||
neigh = random.choice(list(self.columnNeighbors[cID].values()))
|
||||
if self.checkSegmentToNeigh(rID, cID, neigh):
|
||||
if self.checkSegmentToNeigh(rID, cID, neigh) and not self.amImalicious:
|
||||
yield(rID, cID, neigh)
|
||||
t = tries
|
||||
t -= 1
|
||||
|
||||
for rid, cid, neigh in nextSegment():
|
||||
# segments are checked just before yield, so we can send directly
|
||||
self.sendSegmentToNeigh(rid, cid, neigh)
|
||||
if not self.amImalicious:
|
||||
self.sendSegmentToNeigh(rid, cid, neigh)
|
||||
|
||||
if self.statsTxInSlot >= self.bwUplink:
|
||||
return
|
||||
|
@ -449,22 +476,24 @@ class Validator:
|
|||
""" Send as much as we can in the timestep, limited by bwUplink."""
|
||||
|
||||
# process node level send queue
|
||||
self.processSendQueue()
|
||||
if not self.amImalicious:
|
||||
self.processSendQueue()
|
||||
if self.statsTxInSlot >= self.bwUplink:
|
||||
return
|
||||
|
||||
# process neighbor level send queues in shuffled breadth-first order
|
||||
self.processPerNeighborSendQueue()
|
||||
if not self.amImalicious:
|
||||
self.processPerNeighborSendQueue()
|
||||
if self.statsTxInSlot >= self.bwUplink:
|
||||
return
|
||||
|
||||
# process possible segments to send in shuffled breadth-first order
|
||||
if self.segmentShuffleScheduler:
|
||||
if self.segmentShuffleScheduler and not self.amImalicious:
|
||||
self.runSegmentShuffleScheduler()
|
||||
if self.statsTxInSlot >= self.bwUplink:
|
||||
return
|
||||
|
||||
if self.dumbRandomScheduler:
|
||||
if self.dumbRandomScheduler and not self.amImalicious:
|
||||
self.runDumbRandomScheduler()
|
||||
if self.statsTxInSlot >= self.bwUplink:
|
||||
return
|
||||
|
@ -489,14 +518,17 @@ class Validator:
|
|||
|
||||
def restoreRow(self, id):
|
||||
"""Restore a given row if repairable."""
|
||||
rep = self.block.repairRow(id)
|
||||
rep, repairedSamples = self.block.repairRow(id)
|
||||
self.repairedSampleCount += repairedSamples
|
||||
if (rep.any()):
|
||||
# If operation is based on send queues, segments should
|
||||
# be queued after successful repair.
|
||||
self.restoreRowCount += 1
|
||||
for i in range(len(rep)):
|
||||
if rep[i]:
|
||||
self.logger.trace("Rep: %d,%d", id, i, extra=self.format)
|
||||
self.addToSendQueue(id, i)
|
||||
if not self.amImalicious:
|
||||
self.addToSendQueue(id, i)
|
||||
# self.statsRepairInSlot += rep.count(1)
|
||||
|
||||
def restoreColumns(self):
|
||||
|
@ -507,14 +539,17 @@ class Validator:
|
|||
|
||||
def restoreColumn(self, id):
|
||||
"""Restore a given column if repairable."""
|
||||
rep = self.block.repairColumn(id)
|
||||
rep, repairedSamples = self.block.repairColumn(id)
|
||||
self.repairedSampleCount += repairedSamples
|
||||
if (rep.any()):
|
||||
# If operation is based on send queues, segments should
|
||||
# be queued after successful repair.
|
||||
self.restoreColumnCount += 1
|
||||
for i in range(len(rep)):
|
||||
if rep[i]:
|
||||
self.logger.trace("Rep: %d,%d", i, id, extra=self.format)
|
||||
self.addToSendQueue(i, id)
|
||||
if not self.amImalicious:
|
||||
self.addToSendQueue(i, id)
|
||||
# self.statsRepairInSlot += rep.count(1)
|
||||
|
||||
def checkStatus(self):
|
||||
|
@ -542,4 +577,4 @@ class Validator:
|
|||
if a == e:
|
||||
validated+=1
|
||||
|
||||
return arrived, expected, validated
|
||||
return arrived, expected, validated
|
|
@ -241,21 +241,6 @@ class Visualizer:
|
|||
plt.savefig(filename)
|
||||
plt.clf()
|
||||
|
||||
def plotHist(self, bandwidth):
|
||||
"""Plot Bandwidth Frequency Histogram"""
|
||||
plt.hist(bandwidth, bins=5)
|
||||
plt.xlabel('Bandwidth')
|
||||
plt.ylabel('Frequency')
|
||||
plt.title('Bandwidth Histogram')
|
||||
|
||||
"""Create the directory if it doesn't exist already"""
|
||||
histogramFolder = self.folderPath + '/histogram'
|
||||
if not os.path.exists(histogramFolder):
|
||||
os.makedirs(histogramFolder)
|
||||
filename = os.path.join(histogramFolder, 'histogram.png')
|
||||
plt.savefig(filename)
|
||||
plt.clf()
|
||||
|
||||
def plotCandleStick(self, TX_prod, TX_avg, TX_max):
|
||||
#x-axis corresponding to steps
|
||||
steps = range(len(TX_prod))
|
||||
|
@ -274,4 +259,4 @@ class Visualizer:
|
|||
plt.ylabel('Price')
|
||||
|
||||
#Test
|
||||
plt.show()
|
||||
plt.show()
|
|
@ -1,23 +1,33 @@
|
|||
#!/bin/python3
|
||||
|
||||
import matplotlib.pyplot as plt
|
||||
import seaborn as sns
|
||||
import numpy as np
|
||||
import os
|
||||
|
||||
def plotData(conf):
|
||||
plt.clf()
|
||||
fig = plt.figure("9, 3")
|
||||
plt.grid(True)
|
||||
if conf["desLoc"] == 1:
|
||||
xDes = 0
|
||||
else:
|
||||
xDes = conf["xdots"][-1] * 0.6
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(xDes, conf["yaxismax"]/4, conf["textBox"], fontsize=10, verticalalignment='top', bbox=props)
|
||||
for i in range(len(conf["data"])):
|
||||
if conf["type"] == "plot":
|
||||
plt.text(xDes, conf["yaxismax"]/3, conf["textBox"], fontsize=10, verticalalignment='top', bbox=props)
|
||||
if conf["type"] == "plot" or conf["type"] == "plot_with_1line":
|
||||
for i in range(len(conf["data"])):
|
||||
plt.plot(conf["xdots"], conf["data"][i], conf["colors"][i], label=conf["labels"][i])
|
||||
if conf["type"] == "bar":
|
||||
elif conf["type"] == "individual_bar" or conf["type"] == "individual_bar_with_2line":
|
||||
plt.bar(conf["xdots"], conf["data"])
|
||||
elif conf["type"] == "grouped_bar":
|
||||
for i in range(len(conf["data"])):
|
||||
plt.bar(conf["xdots"], conf["data"][i], label=conf["labels"][i])
|
||||
if conf["type"] == "individual_bar_with_2line":
|
||||
plt.axhline(y = conf["expected_value1"], color='r', linestyle='--', label=conf["line_label1"])
|
||||
plt.axhline(y = conf["expected_value2"], color='g', linestyle='--', label=conf["line_label2"])
|
||||
if conf["type"] == "plot_with_1line":
|
||||
plt.axhline(y = conf["expected_value"], color='g', linestyle='--', label=conf["line_label"])
|
||||
plt.title(conf["title"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.xlabel(conf["xlabel"])
|
||||
|
@ -25,6 +35,20 @@ def plotData(conf):
|
|||
plt.legend(loc=conf["legLoc"])
|
||||
plt.savefig(conf["path"], bbox_inches="tight")
|
||||
|
||||
def plotBoxData(conf):
|
||||
plt.clf()
|
||||
plt.grid(True)
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
num_boxes = len(conf["data"])
|
||||
positions = np.arange(num_boxes)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.boxplot(conf["data"], patch_artist=True, showmeans=True, meanline=True, positions=positions)
|
||||
plt.title(conf["title"], fontsize=14)
|
||||
plt.ylabel(conf["ylabel"], fontsize=12)
|
||||
plt.xlabel(conf["xlabel"], fontsize=12)
|
||||
plt.xticks(fontsize=10)
|
||||
plt.yticks(fontsize=10)
|
||||
plt.savefig(conf["path"], bbox_inches="tight")
|
||||
|
||||
class Visualizor:
|
||||
"""This class helps the visualization of the results"""
|
||||
|
@ -39,7 +63,7 @@ class Visualizor:
|
|||
def __get_attrbs__(self, result):
|
||||
text = str(result.shape).split("-")
|
||||
d = dict()
|
||||
for i in range(0, len(text), 2):
|
||||
for i in range(1, len(text), 2):
|
||||
d[text[i]] = text[i + 1]
|
||||
return d
|
||||
|
||||
|
@ -69,6 +93,32 @@ class Visualizor:
|
|||
|
||||
|
||||
|
||||
def plotHeatmaps(self, x, y):
|
||||
"""Plot the heatmap using the parameters given as x axis and y axis"""
|
||||
print("Plotting heatmap "+x+" vs "+y)
|
||||
#Find the location of x in shape
|
||||
#Find the location of y in shape
|
||||
#Find the location od r in shape
|
||||
|
||||
#Loop over all results
|
||||
#Add unique values foir every parameter
|
||||
|
||||
#Find number of runs from r
|
||||
#If number of values for x and y > 3 then plot heatmap, otherwise finish
|
||||
|
||||
#Create a 2D grid with the dimensions of the number of values for x and y
|
||||
#For all values of x
|
||||
#For all values of y
|
||||
# For all values in r
|
||||
#Fixing all other values to 1 (in the mean time)
|
||||
#Add/sum TTA into 2D grid
|
||||
#if last r divide by number of runs
|
||||
|
||||
#Plot 2D grid
|
||||
|
||||
|
||||
|
||||
|
||||
def plotAll(self):
|
||||
"""Plot all the important elements of each result"""
|
||||
for result in self.results:
|
||||
|
@ -79,17 +129,573 @@ class Visualizor:
|
|||
self.plotSentData(result, plotPath)
|
||||
self.plotRecvData(result, plotPath)
|
||||
self.plotDupData(result, plotPath)
|
||||
if self.config.saveRCdist:
|
||||
self.plotRowCol(result, plotPath)
|
||||
|
||||
# self.plotSamplesRepaired(result, plotPath)
|
||||
# self.plotMessagesSent(result, plotPath)
|
||||
# self.plotMessagesRecv(result, plotPath)
|
||||
# self.plotSampleRecv(result, plotPath)
|
||||
# self.plotRestoreRowCount(result, plotPath)
|
||||
# self.plotRestoreColumnCount(result, plotPath)
|
||||
# if self.config.saveRCdist:
|
||||
# self.plotRowCol(result, plotPath)
|
||||
|
||||
# self.plotBoxSamplesRepaired(result, plotPath)
|
||||
# self.plotBoxMessagesSent(result, plotPath)
|
||||
# self.plotBoxMessagesRecv(result, plotPath)
|
||||
# self.plotBoxSampleRecv(result, plotPath)
|
||||
# self.plotBoxRestoreColumnCount(result, plotPath)
|
||||
# self.plotBoxRestoreRowCount(result, plotPath)
|
||||
# if self.config.saveRCdist:
|
||||
# self.plotBoxRowCol(result, plotPath)
|
||||
|
||||
self.plotBoxenSamplesRepaired(result, plotPath)
|
||||
self.plotBoxenMessagesSent(result, plotPath)
|
||||
self.plotBoxenMessagesRecv(result, plotPath)
|
||||
self.plotBoxenSamplesRecv(result, plotPath)
|
||||
self.plotBoxenRestoreRowCount(result, plotPath)
|
||||
self.plotBoxenRestoreColumnCount(result, plotPath)
|
||||
if self.config.saveRCdist:
|
||||
self.plotBoxenRowColDist(result, plotPath)
|
||||
|
||||
self.plotECDFSamplesRepaired(result, plotPath)
|
||||
self.plotECDFMessagesSent(result, plotPath)
|
||||
self.plotECDFMessagesRecv(result, plotPath)
|
||||
self.plotECDFSamplesReceived(result, plotPath)
|
||||
self.plotECDFRestoreRowCount(result, plotPath)
|
||||
self.plotECDFRestoreColumnCount(result, plotPath)
|
||||
if self.config.saveRCdist:
|
||||
self.plotECDFRowColDist(result, plotPath)
|
||||
|
||||
|
||||
def plotBoxRestoreRowCount(self, result, plotPath):
|
||||
"""Box Plot of restoreRowCount for all nodes"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Box Plot of Restore Row Count by Nodes"
|
||||
conf["xlabel"] = "Node Type"
|
||||
conf["ylabel"] = "Restore Row Count"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
class1_data = result.restoreRowCount[1: n1]
|
||||
class2_data = result.restoreRowCount[n1+1: ]
|
||||
data = [class1_data, class2_data]
|
||||
plt.boxplot(data)
|
||||
plt.xticks([1, 2], ['Class 1 Nodes', 'Class 2 Nodes'])
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.savefig(plotPath + "/box_restoreRowCount.png", bbox_inches="tight")
|
||||
print("Plot %s created." % (plotPath + "/box_restoreRowCount.png"))
|
||||
|
||||
def plotBoxRestoreColumnCount(self, result, plotPath):
|
||||
"""Box Plot of restoreColumnCount for all nodes"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Box Plot of Restore Column Count by Nodes"
|
||||
conf["xlabel"] = "Node Type"
|
||||
conf["ylabel"] = "Restore Column Count"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
class1_data = result.restoreColumnCount[1: n1]
|
||||
class2_data = result.restoreColumnCount[n1+1: ]
|
||||
data = [class1_data, class2_data]
|
||||
plt.boxplot(data)
|
||||
plt.xticks([1, 2], ['Class 1 Nodes', 'Class 2 Nodes'])
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.savefig(plotPath + "/box_restoreColumnCount.png", bbox_inches="tight")
|
||||
print("Plot %s created." % (plotPath + "/box_restoreColumnCount.png"))
|
||||
|
||||
def plotBoxenRestoreRowCount(self, result, plotPath):
|
||||
"""Plots the Boxen plot of restoreRowCount for all nodes"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Boxen Plot of Restore Row Count by Nodes"
|
||||
conf["xlabel"] = "Restore Row Count"
|
||||
conf["ylabel"] = "Nodes"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
data = [result.restoreRowCount[1: n1], result.restoreRowCount[n1+1: ]]
|
||||
plt.figure(figsize=(8, 6))
|
||||
sns.boxenplot(data=data, width=0.8)
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.savefig(plotPath + "/boxen_restoreRowCount.png", bbox_inches="tight")
|
||||
print("Plot %s created." % (plotPath + "/boxen_restoreRowCount.png"))
|
||||
|
||||
def plotBoxenRestoreColumnCount(self, result, plotPath):
|
||||
"""Plots the Boxen plot of restoreColumnCount for all nodes"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Boxen Plot of Restore Column Count by Nodes"
|
||||
conf["xlabel"] = "Restore Column Count"
|
||||
conf["ylabel"] = "Nodes"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
data = [result.restoreColumnCount[1: n1], result.restoreColumnCount[n1+1: ]]
|
||||
plt.figure(figsize=(8, 6))
|
||||
sns.boxenplot(data=data, width=0.8)
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.savefig(plotPath + "/boxen_restoreColumnCount.png", bbox_inches="tight")
|
||||
print("Plot %s created." % (plotPath + "/boxen_restoreColumnCount.png"))
|
||||
|
||||
def plotECDFRestoreRowCount(self, result, plotPath):
|
||||
"""Plots the ECDF of restoreRowCount for all nodes using seaborn's ecdfplot"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "ECDF of Restore Row Count by Nodes"
|
||||
conf["xlabel"] = "Restore Row Count"
|
||||
conf["ylabel"] = "ECDF"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
class1_data = result.restoreRowCount[1: n1]
|
||||
class2_data = result.restoreRowCount[n1+1: ]
|
||||
sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
|
||||
sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
plt.xlim(left=0, right=max(result.restoreRowCount) * 1.1)
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'], loc=1)
|
||||
plt.savefig(plotPath + "/ecdf_restoreRowCount.png", bbox_inches="tight")
|
||||
print("Plot %s created." % (plotPath + "/ecdf_restoreRowCount.png"))
|
||||
|
||||
def plotECDFRestoreColumnCount(self, result, plotPath):
|
||||
"""Plots the ECDF of restoreColumnCount for all nodes using seaborn's ecdfplot"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "ECDF of Restore Column Count by Nodes"
|
||||
conf["xlabel"] = "Restore Column Count"
|
||||
conf["ylabel"] = "ECDF"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
class1_data = result.restoreColumnCount[1: n1]
|
||||
class2_data = result.restoreColumnCount[n1+1: ]
|
||||
sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
|
||||
sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
plt.xlim(left=0, right=max(result.restoreColumnCount) * 1.1)
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'], loc=1)
|
||||
plt.savefig(plotPath + "/ecdf_restoreColumnCount.png", bbox_inches="tight")
|
||||
print("Plot %s created." % (plotPath + "/ecdf_restoreColumnCount.png"))
|
||||
|
||||
def plotECDFMessagesSent(self, result, plotPath):
|
||||
"""Plots the ECDF of messages sent by all nodes using seaborn's ecdfplot"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "ECDF of Messages Sent by Nodes"
|
||||
conf["xlabel"] = "Number of Messages Sent"
|
||||
conf["ylabel"] = "ECDF"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
class1_data = result.msgSentCount[1: n1]
|
||||
class2_data = result.msgSentCount[n1+1: ]
|
||||
sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
|
||||
sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
|
||||
plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'], loc=1)
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
plt.xlim(left=0, right=max(result.msgSentCount) * 1.1)
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.savefig(plotPath + "/ecdf_messagesSent.png", bbox_inches="tight")
|
||||
print("Plot %s created." % (plotPath + "/ecdf_messagesSent.png"))
|
||||
|
||||
def plotECDFMessagesRecv(self, result, plotPath):
|
||||
"""Plots the ECDF of messages received by all nodes using seaborn's ecdfplot"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "ECDF of Messages Received by Nodes"
|
||||
conf["xlabel"] = "Number of Messages Received"
|
||||
conf["ylabel"] = "ECDF"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
class1_data = result.msgRecvCount[1: n1]
|
||||
class2_data = result.msgRecvCount[n1+1: ]
|
||||
sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
|
||||
sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
|
||||
plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'], loc=1)
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
plt.xlim(left=0, right=max(result.msgRecvCount) * 1.1)
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.savefig(plotPath + "/ecdf_messagesRecv.png", bbox_inches="tight")
|
||||
print("Plot %s created." % (plotPath + "/ecdf_messagesRecv.png"))
|
||||
|
||||
def plotECDFSamplesReceived(self, result, plotPath):
|
||||
"""Plots the ECDF of samples received by all nodes using seaborn's ecdfplot"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "ECDF of Samples Received by Nodes"
|
||||
conf["xlabel"] = "Number of Samples Received"
|
||||
conf["ylabel"] = "ECDF"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
class1_data = result.sampleRecvCount[1: n1]
|
||||
class2_data = result.sampleRecvCount[n1+1: ]
|
||||
sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
|
||||
sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
|
||||
plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'], loc=1)
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
plt.xlim(left=0, right=max(result.sampleRecvCount) * 1.1)
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.savefig(plotPath + "/ecdf_samplesReceived.png", bbox_inches="tight")
|
||||
print("Plot %s created." % (plotPath + "/ecdf_samplesReceived.png"))
|
||||
|
||||
def plotECDFRowColDist(self, result, plotPath):
|
||||
"""Plots the ECDF of row col distance by all nodes using seaborn's ecdfplot"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "ECDF of Row-Col Distance by Nodes"
|
||||
conf["xlabel"] = "Row-Col Distance"
|
||||
conf["ylabel"] = "ECDF"
|
||||
vector1 = result.metrics["rowDist"]
|
||||
vector2 = result.metrics["columnDist"]
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
sns.ecdfplot(data=vector1, label='Rows')
|
||||
sns.ecdfplot(data=vector2, label='Columns')
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
plt.xlim(left=0, right=max(max(vector1), max(vector2)) * 1.1)
|
||||
plt.legend(labels=['Row Dist', 'Column Dist'], loc=1)
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.savefig(plotPath + "/ecdf_rowColDist.png", bbox_inches="tight")
|
||||
print("Plot %s created." % (plotPath + "/ecdf_rowColDist.png"))
|
||||
|
||||
def plotECDFSamplesRepaired(self, result, plotPath):
|
||||
"""Plots the ECDF of samples repaired by all nodes using seaborn's ecdfplot"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "ECDF of Samples Repaired by Nodes"
|
||||
conf["xlabel"] = "Number of Samples Repaired"
|
||||
conf["ylabel"] = "ECDF"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
class1_data = result.repairedSampleCount[1: n1]
|
||||
class2_data = result.repairedSampleCount[n1+1: ]
|
||||
sns.ecdfplot(data=class1_data, label='Class 1 Nodes')
|
||||
sns.ecdfplot(data=class2_data, label='Class 2 Nodes')
|
||||
plt.legend(title='Node Class', labels=['Class 1 Nodes', 'Class 2 Nodes'])
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
plt.xlim(left=0, right=max(result.repairedSampleCount) * 1.1)
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.savefig(plotPath + "/ecdf_samplesRepaired.png", bbox_inches="tight")
|
||||
print("Plot %s created." % (plotPath + "/ecdf_samplesRepaired.png"))
|
||||
|
||||
def plotBoxenSamplesRecv(self, result, plotPath):
|
||||
"""Boxen Plot of the number of samples received by all nodes"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Number of Samples Received by Nodes"
|
||||
conf["xlabel"] = "Node Type"
|
||||
conf["ylabel"] = "Number of Samples Received"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
data = [result.sampleRecvCount[1: n1], result.sampleRecvCount[n1+1: ]]
|
||||
plt.figure(figsize=(8, 6))
|
||||
sns.boxenplot(data=data, width=0.8)
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.tight_layout()
|
||||
plt.savefig(plotPath + "/boxen_samplesRecv.png")
|
||||
plt.close()
|
||||
print("Plot %s created." % (plotPath + "/boxen_samplesRecv.png"))
|
||||
|
||||
def plotBoxenSamplesRepaired(self, result, plotPath):
|
||||
"""Boxen Plot of the number of samples repaired by all nodes"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Number of Samples Repaired by Nodes"
|
||||
conf["xlabel"] = "Node Type"
|
||||
conf["ylabel"] = "Number of Samples Repaired"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
data = [result.repairedSampleCount[1: n1], result.repairedSampleCount[n1+1: ]]
|
||||
plt.figure(figsize=(8, 6))
|
||||
sns.boxenplot(data=data, width=0.8)
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.tight_layout()
|
||||
plt.savefig(plotPath + "/boxen_samplesRepaired.png")
|
||||
plt.close()
|
||||
print("Plot %s created." % (plotPath + "/boxen_samplesRepaired.png"))
|
||||
|
||||
def plotBoxenRowColDist(self, result, plotPath):
|
||||
"""Boxen Plot of the Row/Column distribution"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Row/Column Distribution"
|
||||
conf["xlabel"] = "Row/Column Type"
|
||||
conf["ylabel"] = "Validators Subscribed"
|
||||
vector1 = result.metrics["rowDist"]
|
||||
vector2 = result.metrics["columnDist"]
|
||||
if len(vector1) > len(vector2):
|
||||
vector2 += [np.nan] * (len(vector1) - len(vector2))
|
||||
elif len(vector1) < len(vector2):
|
||||
vector1 += [np.nan] * (len(vector2) - len(vector1))
|
||||
data = [vector1, vector2]
|
||||
plt.figure(figsize=(8, 6))
|
||||
sns.boxenplot(data=data, width=0.8)
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.tight_layout()
|
||||
plt.savefig(plotPath + "/boxen_rowColDist.png")
|
||||
plt.close()
|
||||
print("Plot %s created." % (plotPath + "/boxen_rowColDist.png"))
|
||||
|
||||
def plotBoxenMessagesSent(self, result, plotPath):
|
||||
"""Plots the number of messages sent by all nodes using seaborn's boxenplot"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Number of Messages Sent by Nodes"
|
||||
conf["xlabel"] = "Node Type"
|
||||
conf["ylabel"] = "Number of Messages Sent"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
data = [result.msgSentCount[1: n1], result.msgSentCount[n1+1: ]]
|
||||
labels = ["Class 1", "Class 2"]
|
||||
sns.boxenplot(data=data, palette="Set2", ax=plt.gca())
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.savefig(plotPath + "/boxen_messagesSent.png", bbox_inches="tight")
|
||||
print("Plot %s created." % (plotPath + "/boxen_messagesSent.png"))
|
||||
|
||||
def plotBoxenMessagesRecv(self, result, plotPath):
|
||||
"""Plots the number of messages received by all nodes using seaborn's boxenplot"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Number of Messages Received by Nodes"
|
||||
conf["xlabel"] = "Node Type"
|
||||
conf["ylabel"] = "Number of Messages Received"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
data = [result.msgRecvCount[1: n1], result.msgRecvCount[n1+1: ]]
|
||||
labels = ["Class 1", "Class 2"]
|
||||
sns.boxenplot(data=data, palette="Set2", ax=plt.gca())
|
||||
plt.xlabel(conf["xlabel"])
|
||||
plt.ylabel(conf["ylabel"])
|
||||
plt.title(conf["title"])
|
||||
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
|
||||
plt.text(0.05, 0.05, conf["textBox"], fontsize=10, verticalalignment='bottom', transform=plt.gca().transAxes, bbox=props)
|
||||
plt.savefig(plotPath + "/boxen_messagesRecv.png", bbox_inches="tight")
|
||||
print("Plot %s created." % (plotPath + "/boxen_messagesRecv.png"))
|
||||
|
||||
def plotBoxSamplesRepaired(self, result, plotPath):
|
||||
"""Box Plot of the number of samples repaired by all nodes"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Number of Samples Repaired by Nodes"
|
||||
conf["type"] = "individual_bar"
|
||||
conf["legLoc"] = 1
|
||||
conf["desLoc"] = 1
|
||||
conf["xlabel"] = "Node Type"
|
||||
conf["ylabel"] = "Number of Samples Repaired"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
conf["data"] = [result.repairedSampleCount[1: n1], result.repairedSampleCount[n1+1: ]]
|
||||
conf["path"] = plotPath + "/box_samplesRepaired.png"
|
||||
plotBoxData(conf)
|
||||
print("Plot %s created." % conf["path"])
|
||||
|
||||
def plotBoxRowCol(self, result, plotPath):
|
||||
"""Box Plot of the Row/Column distribution"""
|
||||
plt.clf()
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Row/Column Distribution"
|
||||
conf["xlabel"] = ""
|
||||
conf["ylabel"] = "Validators Subscribed"
|
||||
vector1 = result.metrics["rowDist"]
|
||||
vector2 = result.metrics["columnDist"]
|
||||
if len(vector1) > len(vector2):
|
||||
vector2 += [np.nan] * (len(vector1) - len(vector2))
|
||||
elif len(vector1) < len(vector2):
|
||||
vector1 += [np.nan] * (len(vector2) - len(vector1))
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
conf["data"] = [vector1, vector2]
|
||||
conf["path"] = plotPath + "/box_rowColDist.png"
|
||||
plotBoxData(conf)
|
||||
print("Plot %s created." % conf["path"])
|
||||
|
||||
def plotRestoreRowCount(self, result, plotPath):
|
||||
"""Plots the restoreRowCount for each node"""
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Restore Row Count for Each Node"
|
||||
conf["type"] = "individual_bar"
|
||||
conf["legLoc"] = 1
|
||||
conf["desLoc"] = 1
|
||||
conf["xlabel"] = "Nodes"
|
||||
conf["ylabel"] = "Restore Row Count"
|
||||
conf["data"] = result.restoreRowCount
|
||||
conf["xdots"] = range(result.shape.numberNodes)
|
||||
conf["path"] = plotPath + "/restoreRowCount.png"
|
||||
maxi = max(conf["data"])
|
||||
conf["yaxismax"] = maxi
|
||||
plotData(conf)
|
||||
print("Plot %s created." % conf["path"])
|
||||
|
||||
def plotRestoreColumnCount(self, result, plotPath):
|
||||
"""Plots the restoreColumnCount for each node"""
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Restore Column Count for Each Node"
|
||||
conf["type"] = "individual_bar"
|
||||
conf["legLoc"] = 1
|
||||
conf["desLoc"] = 1
|
||||
conf["xlabel"] = "Nodes"
|
||||
conf["ylabel"] = "Restore Column Count"
|
||||
conf["data"] = result.restoreColumnCount
|
||||
conf["xdots"] = range(result.shape.numberNodes)
|
||||
conf["path"] = plotPath + "/restoreColumnCount.png"
|
||||
maxi = max(conf["data"])
|
||||
conf["yaxismax"] = maxi
|
||||
plotData(conf)
|
||||
print("Plot %s created." % conf["path"])
|
||||
|
||||
def plotSampleRecv(self, result, plotPath):
|
||||
"""Plots the percentage sampleRecv for each node"""
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Percentage of Samples Received by Nodes"
|
||||
conf["type"] = "individual_bar_with_2line"
|
||||
conf["legLoc"] = 1
|
||||
conf["desLoc"] = 1
|
||||
conf["xlabel"] = "Nodes"
|
||||
conf["ylabel"] = "Percentage of samples received (%)"
|
||||
total_samples = result.shape.blockSizeR * result.shape.blockSizeC
|
||||
percentage_data = [(count / total_samples) * 100 for count in result.sampleRecvCount]
|
||||
conf["data"] = percentage_data
|
||||
conf["xdots"] = range(result.shape.numberNodes)
|
||||
conf["path"] = plotPath + "/sampleRecv.png"
|
||||
maxi = max(conf["data"])
|
||||
# conf["yaxismax"] = maxi * 1.1
|
||||
expected_percentage1 = (result.shape.vpn1 * (result.shape.blockSizeR * result.shape.chiR + result.shape.blockSizeC * result.shape.chiC) * 100)/total_samples
|
||||
expected_percentage2 = (result.shape.vpn2 * (result.shape.blockSizeR * result.shape.chiR + result.shape.blockSizeC * result.shape.chiC) * 100)/total_samples
|
||||
if expected_percentage1 > 100:
|
||||
expected_percentage1 = 100
|
||||
if expected_percentage2 > 100:
|
||||
expected_percentage2 = 100
|
||||
conf["expected_value1"] = expected_percentage1
|
||||
conf["expected_value2"] = expected_percentage2
|
||||
conf["line_label1"] = "Expected Value for class 1 nodes"
|
||||
conf["line_label2"] = "Expected Value for class 2 nodes"
|
||||
conf["yaxismax"] = max(expected_percentage1, expected_percentage2) * 1.05
|
||||
plotData(conf)
|
||||
print("Plot %s created." % conf["path"])
|
||||
|
||||
def plotBoxSampleRecv(self, result, plotPath):
|
||||
"""Box Plot of the sampleRecv for each node"""
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Number of Samples Received by Nodes"
|
||||
conf["type"] = "individual_bar_with_2line"
|
||||
conf["legLoc"] = 1
|
||||
conf["desLoc"] = 1
|
||||
conf["xlabel"] = "Node Type"
|
||||
conf["ylabel"] = "Number of samples received (%)"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
conf["data"] = [result.sampleRecvCount[1: n1], result.sampleRecvCount[n1+1: ]]
|
||||
conf["xdots"] = range(result.shape.numberNodes)
|
||||
conf["path"] = plotPath + "/box_sampleRecv.png"
|
||||
plotBoxData(conf)
|
||||
print("Plot %s created." % conf["path"])
|
||||
|
||||
def plotMissingSamples(self, result, plotPath):
|
||||
"""Plots the missing samples in the network"""
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+" \nNetwork degree: "+attrbs['nd']
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Missing Samples"
|
||||
conf["type"] = "plot"
|
||||
conf["type"] = "plot_with_1line"
|
||||
conf["legLoc"] = 1
|
||||
conf["desLoc"] = 1
|
||||
conf["colors"] = ["m-"]
|
||||
|
@ -104,18 +710,21 @@ class Visualizor:
|
|||
if max(v) > maxi:
|
||||
maxi = max(v)
|
||||
conf["yaxismax"] = maxi
|
||||
x = result.shape.blockSizeR * result.shape.chiR + result.shape.blockSizeC * result.shape.chiC
|
||||
conf["expected_value"] = (result.shape.numberNodes - 1) * (result.shape.class1ratio * result.shape.vpn1 * x + (1 - result.shape.class1ratio) * result.shape.vpn2 * x)
|
||||
conf["line_label"] = "Total samples to deliver"
|
||||
plotData(conf)
|
||||
print("Plot %s created." % conf["path"])
|
||||
|
||||
def plotProgress(self, result, plotPath):
|
||||
"""Plots the percentage of nodes ready in the network"""
|
||||
vector1 = result.metrics["progress"]["nodes ready"]
|
||||
vector2 = result.metrics["progress"]["validators ready"]
|
||||
vector3 = result.metrics["progress"]["samples received"]
|
||||
vector1 = [x * 100 for x in result.metrics["progress"]["nodes ready"]]
|
||||
vector2 = [x * 100 for x in result.metrics["progress"]["validators ready"]]
|
||||
vector3 = [x * 100 for x in result.metrics["progress"]["samples received"]]
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+" \nNetwork degree: "+attrbs['nd']
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Nodes/validators ready"
|
||||
conf["type"] = "plot"
|
||||
conf["legLoc"] = 2
|
||||
|
@ -147,7 +756,7 @@ class Visualizor:
|
|||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+" \nNetwork degree: "+attrbs['nd']
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Sent data"
|
||||
conf["type"] = "plot"
|
||||
conf["legLoc"] = 2
|
||||
|
@ -177,7 +786,7 @@ class Visualizor:
|
|||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+" \nNetwork degree: "+attrbs['nd']
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Received data"
|
||||
conf["type"] = "plot"
|
||||
conf["legLoc"] = 2
|
||||
|
@ -207,7 +816,7 @@ class Visualizor:
|
|||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+" \nNetwork degree: "+attrbs['nd']
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Duplicated data"
|
||||
conf["type"] = "plot"
|
||||
conf["legLoc"] = 2
|
||||
|
@ -238,9 +847,9 @@ class Visualizor:
|
|||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+" \nNetwork degree: "+attrbs['nd']
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Row/Column distribution"
|
||||
conf["type"] = "bar"
|
||||
conf["type"] = "grouped_bar"
|
||||
conf["legLoc"] = 2
|
||||
conf["desLoc"] = 2
|
||||
conf["colors"] = ["r+", "b+"]
|
||||
|
@ -258,3 +867,98 @@ class Visualizor:
|
|||
plotData(conf)
|
||||
print("Plot %s created." % conf["path"])
|
||||
|
||||
def plotMessagesSent(self, result, plotPath):
|
||||
"""Plots the number of messages sent by all nodes"""
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Number of Messages Sent by Nodes"
|
||||
conf["type"] = "individual_bar"
|
||||
conf["legLoc"] = 1
|
||||
conf["desLoc"] = 1
|
||||
conf["xlabel"] = "Nodes"
|
||||
conf["ylabel"] = "Number of Messages Sent"
|
||||
conf["data"] = result.msgSentCount
|
||||
conf["xdots"] = range(result.shape.numberNodes)
|
||||
conf["path"] = plotPath + "/messagesSent.png"
|
||||
maxi = max(conf["data"])
|
||||
conf["yaxismax"] = maxi
|
||||
plotData(conf)
|
||||
print("Plot %s created." % conf["path"])
|
||||
|
||||
def plotBoxMessagesSent(self, result, plotPath):
|
||||
"""Box Plot of the number of messages sent by all nodes"""
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Number of Messages Sent by Nodes"
|
||||
conf["xlabel"] = "Node Type"
|
||||
conf["ylabel"] = "Number of Messages Sent"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
conf["data"] = [result.msgSentCount[1: n1], result.msgSentCount[n1+1: ]]
|
||||
conf["path"] = plotPath + "/box_messagesSent.png"
|
||||
plotBoxData(conf)
|
||||
print("Plot %s created." % conf["path"])
|
||||
|
||||
def plotMessagesRecv(self, result, plotPath):
|
||||
"""Plots the number of messages received by all nodes"""
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Number of Messages Received by Nodes"
|
||||
conf["type"] = "individual_bar"
|
||||
conf["legLoc"] = 1
|
||||
conf["desLoc"] = 1
|
||||
conf["xlabel"] = "Nodes"
|
||||
conf["ylabel"] = "Number of Messages Received"
|
||||
conf["data"] = result.msgRecvCount
|
||||
conf["xdots"] = range(result.shape.numberNodes)
|
||||
conf["path"] = plotPath + "/messagesRecv.png"
|
||||
maxi = max(conf["data"])
|
||||
conf["yaxismax"] = maxi
|
||||
plotData(conf)
|
||||
print("Plot %s created." % conf["path"])
|
||||
|
||||
def plotBoxMessagesRecv(self, result, plotPath):
|
||||
"""Plots the number of messages received by all nodes"""
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Number of Messages Received by Nodes"
|
||||
conf["type"] = "individual_bar"
|
||||
conf["legLoc"] = 1
|
||||
conf["desLoc"] = 1
|
||||
conf["xlabel"] = "Node Type"
|
||||
conf["ylabel"] = "Number of Messages Received"
|
||||
n1 = int(result.numberNodes * result.class1ratio)
|
||||
conf["data"] = [result.msgRecvCount[1: n1], result.msgRecvCount[n1+1: ]]
|
||||
conf["xdots"] = range(result.shape.numberNodes)
|
||||
conf["path"] = plotPath + "/box_messagesRecv.png"
|
||||
maxi = max(conf["data"])
|
||||
conf["yaxismax"] = maxi
|
||||
plotBoxData(conf)
|
||||
print("Plot %s created." % conf["path"])
|
||||
|
||||
def plotSamplesRepaired(self, result, plotPath):
|
||||
"""Plots the number of samples repaired by all nodes"""
|
||||
conf = {}
|
||||
attrbs = self.__get_attrbs__(result)
|
||||
conf["textBox"] = "Block Size R: "+attrbs['bsrn']+"\nBlock Size C: "+attrbs['bscn']\
|
||||
+"\nNumber of nodes: "+attrbs['nn']+"\nFailure rate: "+attrbs['fr']+"\nMalicious Node: "+attrbs['mn']+"\nNetwork degree: "+attrbs['nd']
|
||||
conf["title"] = "Number of Samples Repaired by Nodes"
|
||||
conf["type"] = "individual_bar"
|
||||
conf["legLoc"] = 1
|
||||
conf["desLoc"] = 1
|
||||
conf["xlabel"] = "Nodes"
|
||||
conf["ylabel"] = "Number of Samples Repaired"
|
||||
conf["data"] = result.repairedSampleCount
|
||||
conf["xdots"] = range(result.shape.numberNodes)
|
||||
conf["path"] = plotPath + "/repairedSampleCount.png"
|
||||
maxi = max(conf["data"])
|
||||
conf["yaxismax"] = maxi
|
||||
plotData(conf)
|
||||
print("Plot %s created." % conf["path"])
|
||||
|
|
35
smallConf.py
35
smallConf.py
|
@ -40,10 +40,6 @@ logLevel = logging.INFO
|
|||
# for more details, see joblib.Parallel
|
||||
numJobs = -1
|
||||
|
||||
# distribute rows/columns evenly between validators (True)
|
||||
# or generate it using local randomness (False)
|
||||
evenLineDistribution = True
|
||||
|
||||
# Number of simulation runs with the same parameters for statistical relevance
|
||||
runs = range(3)
|
||||
|
||||
|
@ -56,21 +52,22 @@ failureModels = ["random"]
|
|||
# Percentage of block not released by producer
|
||||
failureRates = range(40, 81, 20)
|
||||
|
||||
# Block size in one dimension in segments. Block is blockSizes * blockSizes segments.
|
||||
blockSizes = range(64, 113, 128)
|
||||
# Percentage of nodes that are considered malicious
|
||||
maliciousNodes = range(40,41,20)
|
||||
|
||||
# Parameter to determine whether to randomly assign malicious nodes or not
|
||||
# If True, the malicious nodes will be assigned randomly; if False, a predefined pattern may be used
|
||||
randomizeMaliciousNodes = True
|
||||
|
||||
# Per-topic mesh neighborhood size
|
||||
netDegrees = range(8, 9, 2)
|
||||
|
||||
# number of rows and columns a validator is interested in
|
||||
chis = range(2, 3, 2)
|
||||
|
||||
# ratio of class1 nodes (see below for parameters per class)
|
||||
class1ratios = [0.8]
|
||||
|
||||
# Number of validators per beacon node
|
||||
validatorsPerNode1 = [1]
|
||||
validatorsPerNode2 = [500]
|
||||
validatorsPerNode1 = [10]
|
||||
validatorsPerNode2 = [50]
|
||||
|
||||
# Set uplink bandwidth in megabits/second
|
||||
bwUplinksProd = [200]
|
||||
|
@ -101,13 +98,17 @@ diagnostics = False
|
|||
# True to save git diff and git commit
|
||||
saveGit = False
|
||||
|
||||
blockSizeR = range(64, 113, 128)
|
||||
blockSizeC = range(32, 113, 128)
|
||||
blockSizeRK = range(32, 65, 128)
|
||||
blockSizeCK = range(32, 65, 128)
|
||||
chiR = range(2, 3, 2)
|
||||
chiC = range(2, 3, 2)
|
||||
|
||||
def nextShape():
|
||||
for run, fm, fr, class1ratio, chi, vpn1, vpn2, blockSize, nn, netDegree, bwUplinkProd, bwUplink1, bwUplink2 in itertools.product(
|
||||
runs, failureModels, failureRates, class1ratios, chis, validatorsPerNode1, validatorsPerNode2, blockSizes, numberNodes, netDegrees, bwUplinksProd, bwUplinks1, bwUplinks2):
|
||||
for blckSizeR, blckSizeRK, blckSizeC, blckSizeCK, run, fm, fr, mn, class1ratio, chR, chC, vpn1, vpn2, nn, netDegree, bwUplinkProd, bwUplink1, bwUplink2 in itertools.product(
|
||||
blockSizeR, blockSizeRK, blockSizeC, blockSizeCK, runs, failureModels, failureRates, maliciousNodes, class1ratios, chiR, chiC, validatorsPerNode1, validatorsPerNode2, numberNodes, netDegrees, bwUplinksProd, bwUplinks1, bwUplinks2):
|
||||
# Network Degree has to be an even number
|
||||
if netDegree % 2 == 0:
|
||||
blockSizeR = blockSizeC = blockSize
|
||||
blockSizeRK = blockSizeCK = blockSize // 2
|
||||
chiR = chiC = chi
|
||||
shape = Shape(blockSizeR, blockSizeRK, blockSizeC, blockSizeCK, nn, fm, fr, class1ratio, chiR, chiC, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run)
|
||||
shape = Shape(blckSizeR, blckSizeRK, blckSizeC, blckSizeCK, nn, fm, fr, mn, class1ratio, chR, chC, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run)
|
||||
yield shape
|
||||
|
|
Loading…
Reference in New Issue