diff options
| author | Thodoris Sotiropoulos <theosotr@windowslive.com> | 2015-04-27 23:42:09 +0300 |
|---|---|---|
| committer | Thodoris Sotiropoulos <theosotr@windowslive.com> | 2015-04-27 23:42:09 +0300 |
| commit | 654d2d807ed85732e50130afbf9cc395d1f325d0 (patch) | |
| tree | c4952575fe1cb1902c71a6e914633a57a65bb476 /networkx/classes/tests/test_function.py | |
| parent | 68b6ec8471bc34f96dff543b0ce61818f8db2727 (diff) | |
| download | networkx-654d2d807ed85732e50130afbf9cc395d1f325d0.tar.gz | |
Some code fixes
List of changes:
- Rename function to is_weighted()
- Remove unnecessary variable
- Fix code allignment on documentation
- Remove unnecessary else statement
Diffstat (limited to 'networkx/classes/tests/test_function.py')
| -rw-r--r-- | networkx/classes/tests/test_function.py | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/networkx/classes/tests/test_function.py b/networkx/classes/tests/test_function.py index 813b5135..f8785103 100644 --- a/networkx/classes/tests/test_function.py +++ b/networkx/classes/tests/test_function.py @@ -216,22 +216,22 @@ class TestFunction(object): def test_weighted_edges(self): G = nx.path_graph(4) - assert_false(nx.weighted_edges(G)) - assert_false(nx.weighted_edges(G, (2, 3))) + assert_false(nx.is_weighted(G)) + assert_false(nx.is_weighted(G, (2, 3))) G.add_node(4) G.add_edge(3, 4, weight=4) - assert_false(nx.weighted_edges(G)) - assert_true(nx.weighted_edges(G, (3, 4))) + assert_false(nx.is_weighted(G)) + assert_true(nx.is_weighted(G, (3, 4))) G = nx.DiGraph() G.add_weighted_edges_from([('0', '3', 3), ('0', '1', -5), ('1', '0', -5), ('0', '2', 2), ('1', '2', 4), ('2', '3', 1)]) - assert_true(nx.weighted_edges(G)) - assert_true(nx.weighted_edges(G, ('1', '0'))) + assert_true(nx.is_weighted(G)) + assert_true(nx.is_weighted(G, ('1', '0'))) G = G.to_undirected() - assert_true(nx.weighted_edges(G)) - assert_true(nx.weighted_edges(G, ('1', '0'))) - assert_raises(nx.NetworkXError, nx.weighted_edges, G, (1, 2)) + assert_true(nx.is_weighted(G)) + assert_true(nx.is_weighted(G, ('1', '0'))) + assert_raises(nx.NetworkXError, nx.is_weighted, G, (1, 2)) def test_negative_weights(self): G = nx.Graph() |
