modified synthetic networks (a149cdeb) · Commits · 钟慕尧 / tvgl

DataHandler.py

+12 −1

Original line number	Diff line number	Diff line
		@@ -91,6 +91,17 @@ class DataHandler(object):
		line = line[1:]
		new_file.write("%s\n" % line)

		def write_network_to_matrix_form(self, datafile):
		new_filename = datafile.split(".")[0] + "_matrix.csv"
		self.read_network(datafile, inversion=False)
		with open(new_filename, "w") as f:
		for sig in self.inverse_sigmas:
		for i in range(np.shape(sig)[0]):
		for j in range(np.shape(sig)[0]):
		f.write(str(sig[i, j]) + ",")
		f.write("\n")
		f.write("\n\n")

		def write_network_results(self, datafile, alg_type, alg, splitter=","):
		run_time = datetime.datetime.now()
		results_name = "network_results/%s_di%sbl%sob%sla%sbe%s_%s.csv" % (
		@@ -217,5 +228,5 @@ class DataHandler(object):
		if __name__ == "__main__":
		dh = DataHandler()
		dh.read_network("networks/network1.csv")
		dh.read_network("networks/network3.csv")
		dh.read_network("networks/network2.csv")
		dh.generate_real_data([500, 500])

networks/network1.csv

+7 −0

Original line number	Diff line number	Diff line
		@@ -2,22 +2,29 @@
		# Weight for edge between same nodes is 1 by default
		# First node,Second node,Weight
		1,2,0.5
		1,4,0.1
		2,3,0.25
		2,4,0.25
		3,5,0.5
		3,6,0.1
		3,7,0.25
		4,17,0.1
		5,6,0.25
		7,8,0.25
		7,10,0.1
		8,10,0.5
		9,10,0.25
		9,11,0.5
		9,12,0.25
		10,17,0.1
		11,13,0.5
		12,13,0.5
		13,14,0.25
		14,15,0.5
		14,16,0.25
		14,18,0.25
		15,16,0.1
		16,17,0.5
		18,19,0.25
		18,20,0.1
		19,20,0.5

networks/network1_matrix.csv

0 → 100644

+22 −0

Original line number	Diff line number	Diff line
		1.0,0.5,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.5,1.0,0.25,0.25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.25,1.0,0.0,0.5,0.1,0.25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.1,0.25,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,
		0.0,0.0,0.5,0.0,1.0,0.25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.0,0.1,0.0,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.0,0.25,0.0,0.0,0.0,1.0,0.25,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.0,0.0,0.0,0.0,0.0,0.25,1.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.25,0.5,0.25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.5,0.25,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,
		0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,1.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.25,0.0,0.0,1.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,1.0,0.25,0.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.25,1.0,0.5,0.25,0.0,0.25,0.0,0.0,
		0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,1.0,0.1,0.0,0.0,0.0,0.0,
		0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.25,0.1,1.0,0.5,0.0,0.0,0.0,
		0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.5,1.0,0.0,0.0,0.0,
		0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.25,0.0,0.0,0.0,1.0,0.25,0.1,
		0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.25,1.0,0.5,
		0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.5,1.0,

networks/network2.csv

+12 −5

Original line number	Diff line number	Diff line
		# Unidirectional network
		# Weight for edge between same nodes is 1 by default
		# First node,Second node,Weight
		1,7,0.1
		1,9,0.5
		1,12,0.5
		1,17,0.1
		1,18,0.25
		2,9,0.25
		2,13,0.25
		2,14,0.25
		2,16,0.1
		3,11,0.5
		3,12,0.5
		3,15,0.5
		3,12,0.2
		3,15,0.2
		3,17,0.25
		4,9,0.1
		4,13,0.25
		5,14,0.5
		5,16,0.25
		5,19,0.1
		6,8,0.1
		6,14,0.25
		7,16,0.5
		7,18,0.25
		8,14,0.25
		8,20,0.5
		9,18,0.25
		10,19,0.3
		10,20,0.25
		10,19,0.5
		No newline at end of file
		11,15,0.1
		11,20,0.5

networks/network2_matrix.csv

0 → 100644

+22 −0

Original line number	Diff line number	Diff line
		1.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.5,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.1,0.25,0.0,0.0,
		0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.25,0.0,0.0,0.0,0.25,0.25,0.0,0.1,0.0,0.0,0.0,0.0,
		0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.5,0.0,0.0,0.5,0.0,0.25,0.0,0.0,0.0,
		0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.25,0.0,0.0,0.1,0.0,
		0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.1,0.0,0.0,0.0,0.0,0.0,0.25,0.0,0.0,0.0,0.0,0.0,0.0,
		0.1,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,
		0.0,0.0,0.0,0.0,0.0,0.1,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.25,0.0,0.0,0.0,0.0,0.0,0.0,
		0.5,0.25,0.0,0.1,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.25,0.0,0.0,
		0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.25,
		0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.5,
		0.5,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.25,0.0,0.25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.25,0.0,0.0,0.5,0.25,0.0,0.25,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,
		0.0,0.1,0.0,0.0,0.25,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,
		0.1,0.0,0.25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,
		0.25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,
		0.0,0.0,0.0,0.0,0.1,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,
		0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.25,0.5,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,

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