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Modified implementation of getNodeCountPerColumn to get count for each node type

This commit is contained in:
Sudipta Basak 2024-04-08 13:10:44 +00:00
parent 93e15c05d1
commit bf15ec97ab
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2 changed files with 10 additions and 8 deletions
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9
ConnectivityTest/MaliciousNodesVsNetDegree/prog.py
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@ -19,8 +19,8 @@ def plotData(conf):
plt.clf()
def isGConnected(deg, nodes, mal):
G = nx.random_regular_graph(deg, nodes)
malNodes = random.sample(list(G.nodes()), k=mal * nodes // 100)
G = nx.random_regular_graph(deg, sum(nodes))
malNodes = random.sample(list(G.nodes()), k=mal * sum(nodes) // 100)
for mn in malNodes:
G.remove_node(mn)
@ -37,9 +37,10 @@ def getNodeCountPerColumn(config):
colsSelected = random.sample(list(range(1, numberOfCols + 1)), chiC1 if _ < node1Count else chiC2)
for col in colsSelected:
if col in nodeCountPerColumn.keys():
nodeCountPerColumn[col] += 1
nodeCountPerColumn[col][0 if _ < numOfNodes else 1] += 1
else:
nodeCountPerColumn[col] = 0
nodeCountPerColumn[col] = [0, 0]
nodeCountPerColumn[col][0 if _ < numOfNodes else 1] = 1
return nodeCountPerColumn

9
ConnectivityTest/MaliciousNodesVsNumberOfNodes/prog.py
View File

@ -20,8 +20,8 @@ def plotData(conf):
plt.clf()
def isGConnected(deg, nodes, mal):
G = nx.random_regular_graph(deg, nodes)
malNodes = random.sample(list(G.nodes()), k=mal * nodes // 100)
G = nx.random_regular_graph(deg, sum(nodes))
malNodes = random.sample(list(G.nodes()), k=mal * sum(nodes) // 100)
for mn in malNodes:
G.remove_node(mn)
@ -37,9 +37,10 @@ def getNodeCountPerColumn(config, numOfNodes):
colsSelected = random.sample(list(range(1, numberOfCols + 1)), chiC1 if _ < node1Count else chiC2)
for col in colsSelected:
if col in nodeCountPerColumn.keys():
nodeCountPerColumn[col] += 1
nodeCountPerColumn[col][0 if _ < numOfNodes else 1] += 1
else:
nodeCountPerColumn[col] = 0
nodeCountPerColumn[col] = [0, 0]
nodeCountPerColumn[col][0 if _ < numOfNodes else 1] = 1
return nodeCountPerColumn