Merge pull request #3 from dschult/gh_test_action

Add basic test.yaml based on graphblas-algorithms

.github/workflows/test.yml

@@ -0,0 +1,40 @@
+name: Tests
+
+on:
+  pull_request:
+  push:
+    branches: [ main ]
+
+jobs:
+  test:
+    runs-on: ${{ matrix.os }}
+    defaults:
+      run:
+        shell: bash -l {0}
+    strategy:
+      fail-fast: true
+      matrix:
+        os: ["ubuntu-latest", "macos-latest", "windows-latest"]
+        python-version: ["3.10", "3.11"]
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+      - name: Conda
+        uses: conda-incubator/setup-miniconda@v2
+        with:
+          auto-update-conda: true
+          python-version: ${{ matrix.python-version }}
+          channels: conda-forge
+          activate-environment: testing
+      - name: Install dependencies
+        run: |
+          conda install -c conda-forge joblib scipy pandas pytest-cov pytest-randomly
+            # matplotlib lxml pygraphviz pydot sympy  # Extra networkx deps we don't need yet
+          pip install git+https://github.com/networkx/networkx.git@main --no-deps
+          pip install -e . --no-deps
+          echo "Done with installing"
+      - name: PyTest
+        run: |
+          NETWORKX_GRAPH_CONVERT=parallel pytest --pyargs networkx

nx_parallel/interface.py

@@ -19,7 +19,7 @@ def convert_from_nx(incoming_graph, weight=None, *, name=None):
     def convert_to_nx(obj, *, name=None):
         from .graph import ParallelGraph
 
-        if isinstance(obj, Graph):
+        if isinstance(obj, ParallelGraph):
             obj = obj.to_networkx()
         return obj