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test.py
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from supernodegraph import NodeCV, NodeCG, NodeCGMW
import time
def scenario_one():
print('***Scenario One***')
actual_a1 = NodeCV('a1')
predic_a1 = NodeCV('a1')
actual_a2 = NodeCV('a2')
predic_a2 = NodeCV('a2')
actual_a3 = NodeCV('a3')
predic_a3 = NodeCV('a3')
actual_b1 = NodeCV('b1')
predic_b1 = NodeCV('b1')
actual_b2 = NodeCV('b2')
predic_b2 = NodeCV('b2')
actual_b3 = NodeCV('b3')
predic_b3 = NodeCV('b3')
actual_c1 = NodeCV('c1')
predic_c1 = NodeCV('c1')
actual_c2 = NodeCV('c2')
predic_c2 = NodeCV('c2')
actual = NodeCG(set([
actual_a1,
actual_a2,
actual_a3,
actual_b1,
actual_b2,
actual_b3,
actual_c1,
actual_c2
]))
predicted = NodeCG(set([
predic_a1,
predic_a2,
predic_a3,
predic_b1,
predic_b2,
predic_b3,
predic_c1,
predic_c2
]))
actual_a1.add_neighbor(actual_a2)
actual_a2.add_neighbor(actual_a3)
predic_a1.add_neighbor(predic_a2)
predic_a1.add_neighbor(predic_a3)
predic_a2.add_neighbor(predic_b1)
actual_b1.add_neighbor(actual_b2)
actual_b2.add_neighbor(actual_b3)
predic_b1.add_neighbor(predic_b2)
predic_b2.add_neighbor(predic_b3)
actual_c1.add_neighbor(actual_c2)
predic_c1.add_neighbor(predic_c2)
cgmw = NodeCGMW(predicted=predicted, actual=actual)
print('Expected', '(0.625, 1.0, 0.75)')
print('Got ', cgmw.metrics())
def scenario_two(per_cluster=50):
print('***Scenario Two***')
start = time.time()
actual_a1 = NodeCV('a1')
predic_a1 = NodeCV('a1')
actual_a2 = NodeCV('a2')
predic_a2 = NodeCV('a2')
actual_a3 = NodeCV('a3')
predic_a3 = NodeCV('a3')
actual_b1 = NodeCV('b1')
predic_b1 = NodeCV('b1')
actual_b2 = NodeCV('b2')
predic_b2 = NodeCV('b2')
actual_b3 = NodeCV('b3')
predic_b3 = NodeCV('b3')
actual_c1 = NodeCV('c1')
predic_c1 = NodeCV('c1')
actual_c2 = NodeCV('c2')
predic_c2 = NodeCV('c2')
actual = NodeCG(set([
actual_a1,
actual_a2,
actual_a3,
actual_b1,
actual_b2,
actual_b3,
actual_c1,
actual_c2
]))
predicted = NodeCG(set([
predic_a1,
predic_a2,
predic_a3,
predic_b1,
predic_b2,
predic_b3,
predic_c1,
predic_c2
]))
actual_a1.add_neighbor(actual_a2)
actual_a2.add_neighbor(actual_a3)
predic_a1.add_neighbor(predic_a2)
predic_a1.add_neighbor(predic_a3)
predic_a2.add_neighbor(predic_b1)
for i in range(4, per_cluster): # make a a cluster of 1000
pv = NodeCV('a{}'.format(i))
av = NodeCV('a{}'.format(i))
actual.add_vertex(av)
predicted.add_vertex(pv)
av.add_neighbor(actual_a1)
pv.add_neighbor(predic_c1)
actual_b1.add_neighbor(actual_b2)
actual_b2.add_neighbor(actual_b3)
predic_b1.add_neighbor(predic_b2)
predic_b2.add_neighbor(predic_b3)
for i in range(4, per_cluster): # make b a cluster of 1000
pv = NodeCV('b{}'.format(i))
av = NodeCV('b{}'.format(i))
actual.add_vertex(av)
predicted.add_vertex(pv)
av.add_neighbor(actual_b1)
pv.add_neighbor(predic_c1)
actual_c1.add_neighbor(actual_c2)
predic_c1.add_neighbor(predic_c1)
for i in range(4, per_cluster): # make c a cluster of 1000
pv = NodeCV('c{}'.format(i))
av = NodeCV('c{}'.format(i))
actual.add_vertex(av)
predicted.add_vertex(pv)
av.add_neighbor(actual_c1)
pv.add_neighbor(predic_c1)
# c1.add_pred_neighbor(a1)
predic_c1.add_neighbor(predic_a1)
init_checkpoint = time.time() - start
print('Graph initialized in {}s'.format(init_checkpoint))
cgmw = NodeCGMW(predicted=predicted, actual=actual)
metrics = cgmw.metrics()
end = time.time()
print('Got metrics in {}s'.format(end - start - init_checkpoint))
print('Expected', '<NA>')
print('Got ', metrics)
# cgmw.save_to_json_file('testest.json')
# cgmw.load_from_json_file('testest.json')
# print(cgmw.metrics())
# print(g)
# def scenario
if __name__ == "__main__":
scenario_one()
print('\n')
# for num_nodes in [100, 1000, 3000, 5000, 10_000]:
# for num_nodes in [20_000]:
for num_nodes in [1000]:
print('Scenario Two executed for ~{} nodes'.format(3 * num_nodes))
scenario_two(num_nodes)
print('\n')