Adds integration test

.github/workflows/test_gedi.yml

@@ -115,4 +115,28 @@ jobs:
 
     - name: Run test
       run:
-        python main.py -o config_files/options/baseline.json -a config_files/algorithm/augmentation.json
+
+  test_integration:
+    runs-on: ubuntu-latest
+
+    # Setting up a python envronment  for the test script to run
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v2
+
+    - name: Set up Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: 3.x
+
+    - name: Install dependencies
+      run: |
+        sudo apt install python3-packaging
+    - name: Install feeed
+      run: |
+        python -m pip install --upgrade pip
+        pip install .
+
+    - name: Run test
+      run:
+        python main.py -o config_files/options/baseline.json -a config_files/algorithm/experiment_test.json

.gitignore

@@ -1,6 +1,6 @@
 smac3_output/
 data/
 output/
-.ipynb_checkpoints
+.ipynb_checkpoints/
 */.ipynb_checkpoints/*
 gedi.egg-info/

config_files/algorithm/experiment_test.json

@@ -15,10 +15,10 @@
       "experiment": {"input_path": "data/2_bpic_features.csv",
         "objectives": ["ratio_top_20_variants", "epa_normalized_sequence_entropy_linear_forgetting"]},
       "experiment": [
-          {"epa_normalized_sequence_entropy_linear_forgetting": 0.05, "ratio_top_20_variants": 0.4},
-          {"epa_normalized_sequence_entropy_linear_forgetting": 0.5, "ratio_top_20_variants": 0.04}
+          {"epa_normalized_sequence_entropy_linear_forgetting": 0.2, "ratio_top_20_variants": 0.4},
+          {"epa_normalized_sequence_entropy_linear_forgetting": 0.4, "ratio_top_20_variants": 0.7}
         ],
-      "experiment": {"epa_normalized_sequence_entropy_linear_forgetting": 0.05, "ratio_top_20_variants": 0.4},
+      "experiment": {"epa_normalized_sequence_entropy_linear_forgetting": 0.2, "ratio_top_20_variants": 0.4},
       "config_space": {
         "mode": [5, 20],
         "sequence": [0.01, 1],
@@ -27,7 +27,7 @@
         "loop": [0.01, 1],
         "silent": [0.01, 1],
         "lt_dependency": [0.01, 1],
-        "num_traces": [100, 10001],
+        "num_traces": [10, 100],
         "duplicate": [0],
         "or": [0]
       },