def test_return_empty(self):
actual = charikar_algo(self.g1, R,
[A, B, C, D, E],
100, 1)
assert_equal([],
actual.edges()
)
def check_level(self, level, edges, k=5, root=R, X=[A, B, C, D, E]):
actual = charikar_algo(self.g1, root,
X,
k, level)
assert_equal(sorted(edges),
sorted(actual.edges())
)
def test_bs_ensure_result_is_tree(self):
params = pkl.load(
open(make_path('test/data/quota_test_cases/params.pkl')))[0]
root = params['roots'][0]
preprune_secs = params['preprune_secs']
mg = IU.get_topic_meta_graph_from_synthetic(
make_path('test/data/quota_test_cases/interactions.json'),
preprune_secs)
dag = IU.get_rooted_subgraph_within_timespan(mg, root, preprune_secs)
t = charikar_algo(dag, root, dag.nodes(), k=20, level=2)
assert_true(nx.is_arborescence(t))
def test_bs_ensure_result_is_tree(self):
params = pkl.load(
open(make_path('test/data/quota_test_cases/params.pkl'))
)[0]
root = params['roots'][0]
preprune_secs = params['preprune_secs']
mg = IU.get_topic_meta_graph_from_synthetic(
make_path('test/data/quota_test_cases/interactions.json'),
preprune_secs
)
dag = IU.get_rooted_subgraph_within_timespan(
mg, root, preprune_secs
)
t = charikar_algo(dag, root, dag.nodes(),
k=20, level=2)
assert_true(nx.is_arborescence(t))
def test_return_empty(self):
actual = charikar_algo(self.g1, R, [A, B, C, D, E], 100, 1)
assert_equal([], actual.edges())
def check_level(self, level, edges, k=5, root=R, X=[A, B, C, D, E]):
actual = charikar_algo(self.g1, root, X, k, level)
assert_equal(sorted(edges), sorted(actual.edges()))
