From e2a2b7b01361eae819a8ec39bea014ba9dabf7f2 Mon Sep 17 00:00:00 2001 From: troyyyyy Date: Sun, 7 Jan 2024 16:44:34 +0800 Subject: [PATCH] [FIX] pass flake8 E266 --- .github/workflows/lint.yaml | 2 +- examples/hed/main.py | 10 +++++----- examples/hwf/main.py | 10 +++++----- examples/mnist_add/main.py | 10 +++++----- examples/mnist_add/main_with_model_converter.py | 10 +++++----- examples/zoo/main.py | 10 +++++----- 6 files changed, 26 insertions(+), 26 deletions(-) diff --git a/.github/workflows/lint.yaml b/.github/workflows/lint.yaml index 7386a88..b79d64b 100644 --- a/.github/workflows/lint.yaml +++ b/.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 \ No newline at end of file + args: --ignore=E203,W503,F821 \ No newline at end of file diff --git a/examples/hed/main.py b/examples/hed/main.py index 226ba3a..c1d7e76 100644 --- a/examples/hed/main.py +++ b/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) diff --git a/examples/hwf/main.py b/examples/hwf/main.py index 4787aca..e1e297f 100644 --- a/examples/hwf/main.py +++ b/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) diff --git a/examples/mnist_add/main.py b/examples/mnist_add/main.py index 41b9d02..b6b3173 100644 --- a/examples/mnist_add/main.py +++ b/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) diff --git a/examples/mnist_add/main_with_model_converter.py b/examples/mnist_add/main_with_model_converter.py index 8f3cde4..9e3b251 100644 --- a/examples/mnist_add/main_with_model_converter.py +++ b/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) diff --git a/examples/zoo/main.py b/examples/zoo/main.py index 3b5158a..64f8109 100644 --- a/examples/zoo/main.py +++ b/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)