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authorThodoris Sotiropoulos <theosotr@windowslive.com>2015-04-27 23:42:09 +0300
committerThodoris Sotiropoulos <theosotr@windowslive.com>2015-04-27 23:42:09 +0300
commit654d2d807ed85732e50130afbf9cc395d1f325d0 (patch)
treec4952575fe1cb1902c71a6e914633a57a65bb476 /networkx/classes/tests/test_function.py
parent68b6ec8471bc34f96dff543b0ce61818f8db2727 (diff)
downloadnetworkx-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.py18
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()