def testFTPDataOne(self):
# datas = self.geneDatas()
srcDatas, desDatas = FTPDataTuning().tuningHttpByregix()
datas = []
datas.extend(srcDatas)
datas.extend(desDatas)
vePara = {'diffMeasure': 'abs', 'vWayFre': 'loose', 'T': 0, 'r': 0.3}
borders = self.msg.getFreBorders(vePara, datas)
#borders = self.msg.getOrderBorders(vePara, datas)
i = 0
primDatas = []
print(datas[0])
while (i < len(datas)):
primDatas.append(primeData(datas[i], borders[i], i))
i = i + 1
tree_builder = treeFormat(primDatas, 10, 0.2)
#t_result = tree_builder.generateNT()
t_result = tree_builder.generateSplitNT(5)
Nodes = []
Edges = []
t_result.showTree(0)
t_result.getGraph(0, Nodes, Edges, [0])
self.TGraph.graph_buildTwo(
Nodes, Edges,
'/home/wxw/paper/researchresult/BinaryFormat/treeshow/Fre 5 20.png'
)
def generateTree(self, primDatas, treeParas):
height = treeParas['h']
funNum = treeParas['fcNum']
splitRate = treeParas['srate']
tree_builder = treeFormat(primDatas, funNum, splitRate)
t_result = tree_builder.generateSplitNT(height)
t_json = t_result.transToDictTree()
return t_json
def testMixTree(self):
datas = self.getMixDatas()
vePara = {'diffMeasure': 'abs', 'vWayFre': 'loose', 'T': 0, 'r': 0.3}
# borders = self.msg.getFreBorders(vePara, datas)
borders = self.msg.getOrderBorders(vePara, datas)
i = 0
primDatas = []
print(datas[0])
while (i < len(datas)):
primDatas.append(primeData(datas[i], borders[i], i))
i = i + 1
tree_builder = treeFormat(primDatas, 10, 0.2)
# t_result = tree_builder.generateNT()
t_result = tree_builder.generateSplitNT(5)
print(t_result.transToDictTree())
def testFTPData(self):
#datas = self.geneDatas()
srcDatas, desDatas = FTPDataTuning().tuningHttpByregix()
datas = []
datas.extend(srcDatas)
datas.extend(desDatas)
vePara = {'diffMeasure': 'abs', 'vWayFre': 'loose', 'T': 0, 'r': 0.3}
borders = self.msg.getFreBorders(vePara, datas)
i = 0
primDatas = []
print(datas[0])
while (i < len(datas)):
primDatas.append(primeData(datas[i], borders[i], i))
i = i + 1
tree_builder = treeFormat(primDatas, 20, 0.2)
t_result = tree_builder.generateNT()
t_result.depth_traverse()
for f in t_result.result:
print("format start")
for node_i in f:
print(node_i.loc, node_i.word_type, node_i.value)
def testModData(self):
datas = self.geneDatas()
vePara = {'diffMeasure': 'abs', 'vWayFre': 'loose', 'T': 0, 'r': 0.3}
#borders = self.msg.getFreBorders(vePara, datas)
borders = self.msg.getOrderBorders(vePara, datas)
i = 0
primDatas = []
print(datas[0])
while (i < len(datas)):
primDatas.append(primeData(datas[i], borders[i], i))
i = i + 1
tree_builder = treeFormat(primDatas, 20, 0.2)
# t_result = tree_builder.generateNT()
t_result = tree_builder.generateSplitNT(5)
Nodes = []
Edges = []
t_result.showTree(0)
t_result.getGraph(0, Nodes, Edges, [0])
self.TGraph.graph_buildTwo(
Nodes, Edges,
'/home/wxw/paper/researchresult/BinaryFormat/treeshow/Modbus Order 10 20.png'
)
def getFormat(datas, tR, tC):
formatTree = treeFormat(datas, tC, tR)
formatTree.generate_T()
return formatTree.tree
from Inferformat.treeFormat import treeFormat
from common.Model.PrimData import primeData
def getFormat(datas, tR, tC):
formatTree = treeFormat(datas, tC, tR)
formatTree.generate_T()
return formatTree.tree
def convertTreeToList(tree):
tree.depth_traverse()
tree.print_tree('single')
if __name__ == '__main__':
t_temp = []
t_temp.append(primeData('11122', [0, 1, 3, 5, 7], 1))
t_temp.append(primeData('11222', [0, 1, 3, 5, 9], 2))
t_temp.append(primeData('112234', [0, 1, 3, 5, 10], 3))
t_temp.append(primeData('123423', [0, 2, 4, 6, 7], 4))
t_temp.append(primeData('1121', [0, 2, 4, 6, 8], 5))
t_temp.append(primeData('123123', [0, 2, 4, 6, 10], 6))
tree_builder = treeFormat(t_temp, 3, 0.2)
t_result = tree_builder.generate_T()
t_result.depth_traverse()
for f in t_result.result:
print("format start")
for node_i in f:
print(node_i.loc)
print(node_i.getNodeData())