def createGraphs2(subdata, deg):
avg = 0
for j in range(len(subdata)):
matrix = subdata[j]
threshold = alzTest.findThresh(matrix, deg)
for k in range(len(subdata[j])):
for l in range(len(subdata[j][k])):
if subdata[j][k][l] > threshold:
subdata[j][k][l] = 1
else:
subdata[j][k][l] = 0
G = nx.DiGraph(subdata[j])
listoflists = nx.kosaraju_strongly_connected_components(G)
avg += len(listoflists[0])
return float(avg / len(subdata))
def createGraphs2(subdata, deg):
avg = 0
for j in range(len(subdata)):
matrix = subdata[j]
threshold = alzTest.findThresh(matrix, deg)
for k in range(len(subdata[j])):
for l in range(len(subdata[j][k])):
if subdata[j][k][l] > threshold:
subdata[j][k][l] = 1
else:
subdata[j][k][l] = 0
G = nx.DiGraph(subdata[j])
listoflists = nx.kosaraju_strongly_connected_components(G)
avg += len(listoflists[0])
return float(avg/len(subdata))
def determineThreshold(subdata, deg):
sum = 0
for matrix in subdata:
sum += alzTest.findThresh(matrix, deg)
return float(sum / len(subdata))
def determineThreshold(subdata, deg):
sum = 0
for matrix in subdata:
sum += alzTest.findThresh(matrix, deg)
return float(sum/len(subdata))
