Add first version of GitHub Actions CI/CD pipeline.

.github/workflows/testing.yml

@@ -0,0 +1,61 @@
+name: CI/CD Pipeline
+
+on:
+  push:
+    branches:
+      - '*'  # Run on all branches
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  lint:
+    name: Linter
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.x'
+          cache: 'pip'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -e .
+
+      - name: Run pylint
+        run: |
+          pylint --fail-under=7 gcnn/
+
+  unit_tests:
+    name: Unit Tests
+    runs-on: ubuntu-latest
+    needs: lint
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.x'
+          cache: 'pip'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -e .
+
+      - name: Run unit tests
+        run: |
+          pytest --cov=gcnn/ --cov-report=xml
+
+      - name: Upload coverage to Codecov
+        uses: codecov/codecov-action@v3
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}
+          files: ./coverage.xml

gcnn/layers/graph_conv.py

@@ -39,7 +39,7 @@
 import tensorflow as tf
 
 
-class GraphConv(tf.keras.layers.Layer):
+class GraphConv(tf.keras.layers.Layer):  # pylint: disable=no-member
     """Implements a Graph-Convolutional layer.
 
     Implements a single Graph-Convolutional layer following:
@@ -117,8 +117,8 @@ def kernel_initializer(self) -> str:
     def kernel_initializer(self, kernel_initializer: str):
         """Set requested initializer if it is implemented in TensorFlow."""
         initializer_list = []
-        for name, obj in inspect.getmembers(tf.keras.initializers):
-            if inspect.isclass(obj) and issubclass(obj, tf.keras.initializers.Initializer):
+        for name, obj in inspect.getmembers(tf.keras.initializers):  # pylint: disable=no-member
+            if inspect.isclass(obj) and issubclass(obj, tf.keras.initializers.Initializer):  # pylint: disable=no-member
                 initializer_list.append(name)
         if kernel_initializer not in initializer_list:
             raise ValueError(f'Invalid initializer {kernel_initializer}. Available are: {initializer_list}')

gcnn/layers/graph_readout.py

@@ -27,7 +27,7 @@
 import tensorflow as tf
 
 
-class GraphReadout(tf.keras.layers.Layer):
+class GraphReadout(tf.keras.layers.Layer):  # pylint: disable=no-member
     '''Implements a graph readout layer using TensorFlow.
 
     Implements a graph readout layer, also called (flat) graph pooling layer,

gcnn/utils/grid_graph.py

@@ -203,7 +203,6 @@ def visualize_graph(dims: np.ndarray):
             dims = np.append(dims, (1,))
 
         edge_list = GridGraph.get_edge_list(dims)
-        adj_matrix = GridGraph.get_adjacency_matrix(dims)
 
         coordinates = []
         for index in np.ndindex(*dims):