def getInfoFlowNetwork(tStr, delta_t):
parameters.setLayerDistance(1)
mailID.cachedInit()
msgDetailsFilePath = r'D:\AKwork2021\HigherDimensions\Higher-Dimensions\ApacheData\apacheMsgDetails.txt'
# Create the dictionary of messages and get the min,max times of messages.
minTime, maxTime, msgDict = reproValidity.readMsgDetails(
msgDetailsFilePath)
return reproValidity.getValues(tStr, delta_t, minTime, maxTime, msgDict,
'monoplex', False)
def testMLN(self):
msgDetailsFilePath = 'D:\\AKwork2020-2021\\Higher-Dimensions\\GraphConstruction\\Data\\msgDetailsTest2.txt'
minTime, maxTime, msgDict = reproValidity.readMsgDetails(
msgDetailsFilePath)
t = '1 hour'
delta_t = 3600
msgEdgesFilePath = 'D:\\AKwork2020-2021\\Higher-Dimensions\\GraphConstruction\\Data\\msgEdgesTest1.txt'
infoFlowNetwork = createInfoFlowNetwork(t, delta_t, minTime, msgDict,
msgEdgesFilePath)
infoFlowNetwork.getTransitiveFault('MLN')
def testMonoplex(self):
msgDetailsFilePath = 'D:\\AKwork2020-2021\\Higher-Dimensions\\GraphConstruction\\Data\\msgDetailsTest2.txt'
minTime, maxTime, msgDict = reproValidity.readMsgDetails(
msgDetailsFilePath)
t = '1 hour'
delta_t = 3600
msgEdgesFilePath = 'D:\\AKwork2020-2021\\Higher-Dimensions\\GraphConstruction\\Data\\msgEdgesTest1.txt'
infoFlowNetwork = createInfoFlowNetwork(t, delta_t, minTime, msgDict,
msgEdgesFilePath)
netwType = 'monoplex'
infoFlowNetwork.getTransitiveFault(netwType)
resFilePath = 'D:\\AKwork2020-2021\\Higher-Dimensions\\GraphConstruction\\Data\\monoplexRes1.txt'
testNr2Paths(infoFlowNetwork, netwType, resFilePath)
'MLN #2path ranking Spearman correlation P',
'monoplex #2path ranking Spearman correlation O',
'monoplex #2path ranking Spearman correlation P'
]
for col in tRows:
tData.append(col)
t = go.Figure(data=[
go.Table(header=dict(values=tColumnNames), cells=dict(values=tData))
])
t.show()
mailID.cachedInit()
msgDetailsFilePath = 'D:\AKwork2021\HigherDimensions\Higher-Dimensions\ApacheData\\apacheMsgDetails.txt'
#"Data\\msgDetails.txt"
minTime, maxTime, msgDict = reproValidity.readMsgDetails(msgDetailsFilePath)
t1Rows = [[] for k in range(6)]
parameters.setLayerDistance(1)
# Computes using InfoFlowNetwork class, the upper&lower bounds for the TFR for the MLN and the
# monoplex, and displays a table that compares them.
def getResults():
scaleRows = [[] for k in range(3)]
tCorrRows = [[] for x in range(4)]
tRows = [[] for x in range(8)]
cleRows = [[] for x in range(4)]
t2Times = []
t2Rows = [[] for elem in range(11)]
def dataSetUp():
mailID.init()
msgDetailsFilePath = "Data\\msgDetails.txt"
return reproValidity.readMsgDetails(msgDetailsFilePath)