[FIX] pass flake8 E266

.github/workflows/lint.yaml

@@ -21,4 +21,4 @@ jobs:
         uses: py-actions/flake8@v2
         with:
           max-line-length: "100"
-          args: --ignore=E203,W503,F821,E266
+          args: --ignore=E203,W503,F821

examples/hed/main.py

@@ -50,14 +50,14 @@ def main():
     # Build logger
     print_log("Abductive Learning on the HED example.", logger="current")
 
-    ### Working with Data
+    # -- Working with Data ------------------------------
     print_log("Working with Data.", logger="current")
 
     total_train_data = get_dataset(train=True)
     train_data, val_data = split_equation(total_train_data, 3, 1)
     test_data = get_dataset(train=False)
 
-    ### Building the Learning Part
+    # -- Building the Learning Part ---------------------
     print_log("Building the Learning Part.", logger="current")
 
     # Build necessary components for BasicNN
@@ -81,7 +81,7 @@ def main():
     # Build ABLModel
     model = ABLModel(base_model)
 
-    ### Building the Reasoning Part
+    # -- Building the Reasoning Part --------------------
     print_log("Building the Reasoning Part.", logger="current")
 
     # Build knowledge base
@@ -90,11 +90,11 @@ def main():
     # Create reasoner
     reasoner = HedReasoner(kb, dist_func="hamming", use_zoopt=True, max_revision=args.max_revision)
 
-    ### Building Evaluation Metrics
+    # -- Building Evaluation Metrics --------------------
     print_log("Building Evaluation Metrics.", logger="current")
     metric_list = [ConsistencyMetric(kb=kb)]
 
-    ### Bridge Learning and Reasoning
+    # -- Bridging Learning and Reasoning ----------------
     print_log("Bridge Learning and Reasoning.", logger="current")
     bridge = HedBridge(model, reasoner, metric_list)
 

examples/hwf/main.py

@@ -117,13 +117,13 @@ def main():
     # Build logger
     print_log("Abductive Learning on the HWF example.", logger="current")
 
-    ### Working with Data
+    # -- Working with Data ------------------------------
     print_log("Working with Data.", logger="current")
 
     train_data = get_dataset(train=True, get_pseudo_label=True)
     test_data = get_dataset(train=False, get_pseudo_label=True)
 
-    ### Building the Learning Part
+    # -- Building the Learning Part ---------------------
     print_log("Building the Learning Part.", logger="current")
 
     # Build necessary components for BasicNN
@@ -146,7 +146,7 @@ def main():
     # Build ABLModel
     model = ABLModel(base_model)
 
-    ### Building the Reasoning Part
+    # -- Building the Reasoning Part --------------------
     print_log("Building the Reasoning Part.", logger="current")
 
     # Build knowledge base
@@ -160,11 +160,11 @@ def main():
         kb, max_revision=args.max_revision, require_more_revision=args.require_more_revision
     )
 
-    ### Building Evaluation Metrics
+    # -- Building Evaluation Metrics --------------------
     print_log("Building Evaluation Metrics.", logger="current")
     metric_list = [SymbolAccuracy(prefix="hwf"), ReasoningMetric(kb=kb, prefix="hwf")]
 
-    ### Bridge Learning and Reasoning
+    # -- Bridging Learning and Reasoning ----------------
     print_log("Bridge Learning and Reasoning.", logger="current")
     bridge = SimpleBridge(model, reasoner, metric_list)
 

examples/mnist_add/main.py

@@ -81,12 +81,12 @@ def main():
     # Build logger
     print_log("Abductive Learning on the MNIST Addition example.", logger="current")
 
-    ### Working with Data
+    # -- Working with Data ------------------------------
     print_log("Working with Data.", logger="current")
     train_data = get_dataset(train=True, get_pseudo_label=True)
     test_data = get_dataset(train=False, get_pseudo_label=True)
 
-    ### Building the Learning Part
+    # -- Building the Learning Part ---------------------
     print_log("Building the Learning Part.", logger="current")
 
     # Build necessary components for BasicNN
@@ -117,7 +117,7 @@ def main():
     # Build ABLModel
     model = ABLModel(base_model)
 
-    ### Building the Reasoning Part
+    # -- Building the Reasoning Part --------------------
     print_log("Building the Reasoning Part.", logger="current")
 
     # Build knowledge base
@@ -133,11 +133,11 @@ def main():
         kb, max_revision=args.max_revision, require_more_revision=args.require_more_revision
     )
 
-    ### Building Evaluation Metrics
+    # -- Building Evaluation Metrics --------------------
     print_log("Building Evaluation Metrics.", logger="current")
     metric_list = [SymbolAccuracy(prefix="mnist_add"), ReasoningMetric(kb=kb, prefix="mnist_add")]
 
-    ### Bridge Learning and Reasoning
+    # -- Bridging Learning and Reasoning ----------------
     print_log("Bridge Learning and Reasoning.", logger="current")
     bridge = SimpleBridge(model, reasoner, metric_list)
 

examples/mnist_add/main_with_model_converter.py

@@ -82,12 +82,12 @@ def main():
     # Build logger
     print_log("Abductive Learning on the MNIST Addition example.", logger="current")
 
-    ### Working with Data
+    # -- Working with Data ------------------------------
     print_log("Working with Data.", logger="current")
     train_data = get_dataset(train=True, get_pseudo_label=True)
     test_data = get_dataset(train=False, get_pseudo_label=True)
 
-    ### Building the Learning Part
+    # -- Building the Learning Part ---------------------
     print_log("Building the Learning Part.", logger="current")
 
     # Build necessary components for BasicNN
@@ -117,7 +117,7 @@ def main():
     # Build ABLModel
     model = ABLModel(base_model)
 
-    ### Building the Reasoning Part
+    # -- Building the Reasoning Part --------------------
     print_log("Building the Reasoning Part.", logger="current")
 
     # Build knowledge base
@@ -133,11 +133,11 @@ def main():
         kb, max_revision=args.max_revision, require_more_revision=args.require_more_revision
     )
 
-    ### Building Evaluation Metrics
+    # -- Building Evaluation Metrics --------------------
     print_log("Building Evaluation Metrics.", logger="current")
     metric_list = [SymbolAccuracy(prefix="mnist_add"), ReasoningMetric(kb=kb, prefix="mnist_add")]
 
-    ### Bridge Learning and Reasoning
+    # -- Bridging Learning and Reasoning ----------------
     print_log("Bridge Learning and Reasoning.", logger="current")
     bridge = SimpleBridge(model, reasoner, metric_list)
 

examples/zoo/main.py

@@ -32,7 +32,7 @@ def main():
     # Build logger
     print_log("Abductive Learning on the ZOO example.", logger="current")
 
-    ### Working with Data
+    # -- Working with Data ------------------------------
     print_log("Working with Data.", logger="current")
 
     X, y = load_and_preprocess_dataset(dataset_id=62)
@@ -41,7 +41,7 @@ def main():
     test_data = tab_data_to_tuple(X_test, y_test)
     train_data = tab_data_to_tuple(X_unlabel, y_unlabel)
 
-    ### Building the Learning Part
+    # -- Building the Learning Part ---------------------
     print_log("Building the Learning Part.", logger="current")
 
     # Build base model
@@ -50,7 +50,7 @@ def main():
     # Build ABLModel
     model = ABLModel(base_model)
 
-    ### Building the Reasoning Part
+    # -- Building the Reasoning Part --------------------
     print_log("Building the Reasoning Part.", logger="current")
 
     # Build knowledge base
@@ -59,11 +59,11 @@ def main():
     # Create reasoner
     reasoner = Reasoner(kb, dist_func=consitency)
 
-    ### Building Evaluation Metrics
+    # -- Building Evaluation Metrics --------------------
     print_log("Building Evaluation Metrics.", logger="current")
     metric_list = [SymbolAccuracy(prefix="zoo"), ReasoningMetric(kb=kb, prefix="zoo")]
 
-    ### Bridging learning and reasoning
+    # -- Bridging Learning and Reasoning ----------------
     print_log("Bridge Learning and Reasoning.", logger="current")
     bridge = SimpleBridge(model, reasoner, metric_list)