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calcMeasuresWeighted.py
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calcMeasuresWeighted.py
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import sys, math
from collections import defaultdict
if __name__ == "__main__":
#python calcMeasuresWeighted.py datasets/raw/Graph_8.txt.weighted.mtx datasets/output/Graph_8.txt.mtxBatchPrEL128PARAOUT125.txt datasets/raw/Graph_8.txt.labels
ename = sys.argv[1]
fname = sys.argv[2]
lname = sys.argv[3]
cfile = open(fname, "r")
lfile = open(lname, "r")
efile = open(ename, "r")
labels = dict()
i = 0
X = []
xmin = ymin = float("inf")
xmax = ymax = float("-inf")
nodes = dict()
for line in cfile.readlines():
tokens = line.strip().split()
x = float(tokens[0])
y = float(tokens[1])
xmin = min(xmin, x)
xmax = max(xmax, x)
ymin = min(ymin, y)
ymax = max(ymax, y)
X.append([x, y])
cfile.close()
for line in lfile.readlines():
labels[i] = len(line)
nodes[i] = line.strip()
i += 1
lfile.close()
edges = []
efile.readline() # first commented line
efile.readline() # node node edge line
for line in efile.readlines():
tokens = line.strip().split()
x = int(tokens[0])-1
y = int(tokens[1])-1
if len(tokens) > 2:
w = float(tokens[2])
else:
w = 50
edges.append([x, y, w])
#if nodes[x] in l1nodes and nodes[y] in l1nodes:
# edges.append([x, y])
efile.close()
################Area Coverage################
labelarea = 0
H = 2 * 1.15
axislimit = max([abs(xmin), abs(ymin), abs(xmax), abs(ymax)])
for n in range(len(X)):
offset = labels[n] * 0.45;
W = 2 * offset
labelarea += W * H
#print("Area of :", n, " is:", W * H)
boundingArea = (ymax - ymin)*(xmax - xmin)
#boundingArea = 4 * axislimit * axislimit
print("Total #Edges:", len(edges))
print("X length:", len(X))
print("Xmin:", xmin, "Xmax:", xmax, "Ymin:", ymin, "Ymax:", ymax)
print("Total Label Area:", labelarea, "Bounding Area:", boundingArea)
print("Area Coverage:", labelarea / boundingArea)
###############Desired Edge Length###########
totaldiff = 0
avglength = 0
for [a, b, c] in edges:
dist = math.sqrt((X[a][0] - X[b][0]) * (X[a][0] - X[b][0]) + (X[a][1] - X[b][1]) * (X[a][1] - X[b][1]))
diff = abs(dist - c)
totaldiff += math.pow(diff / c, 2)
avglength += dist
averagediff = math.sqrt(totaldiff / len(edges))
avglength = avglength / len(edges)
print("Edge Length Preservation:", averagediff)
totaldiff = 0
for [a, b, c] in edges:
dist = math.sqrt((X[a][0] - X[b][0]) * (X[a][0] - X[b][0]) + (X[a][1] - X[b][1]) * (X[a][1] - X[b][1]))
diff = abs(dist - avglength)
totaldiff += math.pow(diff / avglength, 2)
avglength += dist
averagediff = math.sqrt(totaldiff / len(edges))
print("Uniform Edge Length Preservation:", averagediff)