def do_load_synthetic_data(self, filePath, evaluate=False):
"""
Load synthetic data
:param filePath: the path of the folder where
:param evaluate: boolean operator whether to evaluate data or not
:return:
"""
if not filePath:
filePath = "/home/lias/Dropbox/Msc/thesis/src/NEW/synthetic-data-generator/src/expand/"
#filePath = "data/synthetic/expand"
sd = SyntheticDataConverter(filePath)
self.graphs = sd.graphs
self.ground_comms = sd.comms
self.timeFrames = sd.timeFrames
self.timeline = sd.get_timeline()
self.type = sd.type
print "Synthetic data have been successfully loaded!"
if evaluate:
Evaluation(sd)
return
pprint.pprint(mutu3.dynamic_coms, stream=f, width=150)
f.close()
return all_res
if __name__ == "__main__":
import sys
if len(sys.argv) > 1:
folder = sys.argv[1]
else:
folder = "merge_split_data"
from os.path import expanduser
home = expanduser("~")
path_full = home + "/Dropbox/Msc/thesis/data/synthetic_generator/data/" + folder
results_file = "results_synthetic_" + path_full.split("/")[-1] + ".txt"
sd = SyntheticDataConverter(path_full, remove_redundant_nodes=True)
# nodes = sd.graphs[0].nodes()
# # edges_1 = random.sample(list(combinations_with_replacement(nodes, 2)), 50)
# # edges_2 = random.sample(list(combinations_with_replacement(nodes, 2)), 207)
# ---------------------------------
#Dynamic Network Generator data (50 nodes/3 tfs)
number_of_dynamic_communities = len(sd.graphs[0])
data = Data(comms=sd.comms,
graphs=sd.graphs,
timeFrames=len(sd.graphs),
number_of_dynamic_communities=len(sd.dynamic_truth),
dynamic_truth=sd.dynamic_truth)
# ---------------------------------
#Dynamic Network Generator data (50 nodes/3 tfs) - Same network everywhere except one tf
# dict = {
# 0: sd.graphs[0],