Merge pull request #18 from pckroon/nx-3

Update to networkx 3

.github/workflows/deploy.yaml

@@ -17,7 +17,7 @@ jobs:
 
     strategy:
       matrix:
-       py_version: ["3.9"] 
+       py_version: ["3.11"]
 
     steps:
     - uses: actions/checkout@v2
@@ -47,7 +47,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v1
       with:
-        python-version: 3.9
+        python-version: 3.11
 
     - name: Install pypa/build
       run: >-

.github/workflows/test.yaml

@@ -19,7 +19,7 @@ jobs:
 
     strategy:
       matrix:
-       py_version: ["3.6", "3.7", "3.8", "3.9", "3.10"] 
+       py_version: ["3.8", "3.9", "3.10", "3.11"]
 
     steps:
     - uses: actions/checkout@v2
@@ -48,7 +48,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v2
       with:
-        python-version: 3.9
+        python-version: 3.11
     - name: Install dependencies
       run: |
         pip install --upgrade setuptools pip

setup.cfg

@@ -27,9 +27,8 @@ setup-requires =
     pbr
 install-requires =  # ?? requires-dist?
     pbr
-    networkx ~= 2.0
+    networkx
     # Comes from hypothesis, but is not automatically picked up by
     # pip. See pypa/pip#7135 and pypa/pip#988
-    attrs >= 19.2.0
     hypothesis
 zip-safe = False

tests/test_graph_builder.py

@@ -35,15 +35,12 @@ def test_graph_builder(data):
     and make sure that graphs that are supposed to be connected are.
     """
     graph_types = st.sampled_from([nx.Graph, nx.DiGraph, nx.MultiGraph,
-                                   nx.MultiDiGraph, nx.OrderedGraph,
-                                   nx.OrderedDiGraph, nx.OrderedMultiGraph,
-                                   nx.OrderedMultiDiGraph])
+                                   nx.MultiDiGraph])
 
     graph_type = data.draw(graph_types, label='graph type')
     node_keys = st.integers()
 
-    multigraph = graph_type in [nx.MultiGraph, nx.MultiDiGraph,
-                                nx.OrderedMultiGraph, nx.OrderedMultiDiGraph]
+    multigraph = graph_type in [nx.MultiGraph, nx.MultiDiGraph]
 
     min_nodes = data.draw(st.integers(min_value=0, max_value=25),
                           label='min nodes')