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| author | Simone Gasperini <simone.gasperini2@studio.unibo.it> | 2021-09-21 21:18:00 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-09-21 15:18:00 -0400 |
| commit | 9ebca28d883d9c5971ab55b19bad850e71c7ad44 (patch) | |
| tree | 08982ed9ca7eac7c0f93f7739445668ea614ba4d | |
| parent | dc3c4861368b4dc60b76e0dfc671cc6317ff20c4 (diff) | |
| download | networkx-9ebca28d883d9c5971ab55b19bad850e71c7ad44.tar.gz | |
Get number of edges by calling the proper method (#5095)
| -rw-r--r-- | networkx/generators/tests/test_random_graphs.py | 22 |
1 files changed, 11 insertions, 11 deletions
diff --git a/networkx/generators/tests/test_random_graphs.py b/networkx/generators/tests/test_random_graphs.py index 95c5dac3..cb2ac29f 100644 --- a/networkx/generators/tests/test_random_graphs.py +++ b/networkx/generators/tests/test_random_graphs.py @@ -203,7 +203,7 @@ class TestGeneratorsRandom: seed = 42 G = nx.random_regular_graph(0, 10, seed) assert len(G) == 10 - assert sum(1 for _ in G.edges()) == 0 + assert G.number_of_edges() == 0 def test_gnp(self): for generator in [ @@ -214,7 +214,7 @@ class TestGeneratorsRandom: ]: G = generator(10, -1.1) assert len(G) == 10 - assert sum(1 for _ in G.edges()) == 0 + assert G.number_of_edges() == 0 G = generator(10, 0.1) assert len(G) == 10 @@ -224,12 +224,12 @@ class TestGeneratorsRandom: G = generator(10, 1.1) assert len(G) == 10 - assert sum(1 for _ in G.edges()) == 45 + assert G.number_of_edges() == 45 G = generator(10, -1.1, directed=True) assert G.is_directed() assert len(G) == 10 - assert sum(1 for _ in G.edges()) == 0 + assert G.number_of_edges() == 0 G = generator(10, 0.1, directed=True) assert G.is_directed() @@ -238,13 +238,13 @@ class TestGeneratorsRandom: G = generator(10, 1.1, directed=True) assert G.is_directed() assert len(G) == 10 - assert sum(1 for _ in G.edges()) == 90 + assert G.number_of_edges() == 90 # assert that random graphs generate all edges for p close to 1 edges = 0 runs = 100 for i in range(runs): - edges += sum(1 for _ in generator(10, 0.99999, directed=True).edges()) + edges += generator(10, 0.99999, directed=True).number_of_edges() assert abs(edges / float(runs) - 90) <= runs * 2.0 / 100 # assert that edges are generated with correct probability @@ -271,23 +271,23 @@ class TestGeneratorsRandom: def test_gnm(self): G = nx.gnm_random_graph(10, 3) assert len(G) == 10 - assert sum(1 for _ in G.edges()) == 3 + assert G.number_of_edges() == 3 G = nx.gnm_random_graph(10, 3, seed=42) assert len(G) == 10 - assert sum(1 for _ in G.edges()) == 3 + assert G.number_of_edges() == 3 G = nx.gnm_random_graph(10, 100) assert len(G) == 10 - assert sum(1 for _ in G.edges()) == 45 + assert G.number_of_edges() == 45 G = nx.gnm_random_graph(10, 100, directed=True) assert len(G) == 10 - assert sum(1 for _ in G.edges()) == 90 + assert G.number_of_edges() == 90 G = nx.gnm_random_graph(10, -1.1) assert len(G) == 10 - assert sum(1 for _ in G.edges()) == 0 + assert G.number_of_edges() == 0 def test_watts_strogatz_big_k(self): # Test to make sure than n <= k |