Merge pull request charmlab#20 from zkhotanlou/zahra/workflow/setup-pre-commit-hooks

Add github workflow to run pre-commit hooks on PRs

Author: amirhk

.github/workflows/pre-commit.yaml

@@ -0,0 +1,24 @@
+name: Run pre-commit hooks
+
+on: [pull_request]
+
+jobs:
+  pre-commit:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Check out the code
+        uses: actions/checkout@v3
+
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.7'
+
+      - name: Install dependencies
+        run: |
+          pip install pre-commit
+          pre-commit install-hooks
+
+      - name: Run pre-commit hooks
+        run: pre-commit run --all-files

_deprecated/data/catalog.py

@@ -1,5 +1,4 @@
 from abc import ABC
-from typing import Callable, List, Tuple
 
 import pandas as pd
 from sklearn.base import BaseEstimator

_deprecated/model/catalog/train_model.py

@@ -3,16 +3,15 @@
 import pandas as pd
 import torch
 import xgboost
-from sklearn.ensemble import RandomForestClassifier
-from torch import nn
-from torch.utils.data import DataLoader, Dataset
-
 from carla.models.catalog.ANN_TF import AnnModel
 from carla.models.catalog.ANN_TF import AnnModel as ann_tf
 from carla.models.catalog.ANN_TORCH import AnnModel as ann_torch
 from carla.models.catalog.Linear_TF import LinearModel
 from carla.models.catalog.Linear_TF import LinearModel as linear_tf
 from carla.models.catalog.Linear_TORCH import LinearModel as linear_torch
+from sklearn.ensemble import RandomForestClassifier
+from torch import nn
+from torch.utils.data import DataLoader, Dataset
 
 
 def train_model(

_deprecated/test/test_api.py

@@ -1,7 +1,6 @@
 from abc import ABC
 
 import pytest
-
 from carla.data.api import Data
 from carla.data.catalog import DataCatalog, OnlineCatalog
 from carla.models.api import MLModel

_deprecated/test/test_autoencoder.py

@@ -1,8 +1,6 @@
 import numpy as np
 import tensorflow as tf
 import torch
-from keras import backend as K
-
 from carla.data.catalog import OnlineCatalog
 from carla.models.catalog import MLModelCatalog
 from carla.recourse_methods.autoencoder import (
@@ -11,6 +9,7 @@
     VariationalAutoencoder,
     train_autoencoder,
 )
+from keras import backend as K
 
 
 def test_cs_vae():

_deprecated/test/test_cfmodel.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pandas as pd
 import pytest
-from tensorflow import Graph, Session
-
 from carla.data.catalog import OnlineCatalog
 from carla.models.catalog import MLModelCatalog
 from carla.models.negative_instances import predict_negative_instances
@@ -19,6 +17,7 @@
 from carla.recourse_methods.catalog.revise import Revise
 from carla.recourse_methods.catalog.roar import Roar
 from carla.recourse_methods.catalog.wachter import Wachter
+from tensorflow import Graph, Session
 
 testmodel = ["ann", "linear"]
 

_deprecated/test/test_data.py

@@ -1,9 +1,8 @@
 import pytest
+from carla.data.catalog import OnlineCatalog
 from pandas._testing import assert_frame_equal
 from sklearn import preprocessing
 
-from carla.data.catalog import OnlineCatalog
-
 testdata = ["adult", "give_me_some_credit", "compas", "heloc"]
 
 

_deprecated/test/test_distributions.py

@@ -1,5 +1,4 @@
 import numpy as np
-
 from carla.data.load_scm.distributions import (
     Bernoulli,
     Gamma,

_deprecated/test/test_evaluations.py

@@ -1,6 +1,5 @@
 import numpy as np
 import pandas as pd
-
 from carla.data.catalog import OnlineCatalog
 from carla.evaluation import remove_nans
 from carla.evaluation.catalog import distance

_deprecated/test/test_mlmodel.py

@@ -1,7 +1,6 @@
 import numpy as np
 import pytest
 import torch
-
 from carla.data.catalog import OnlineCatalog
 from carla.models.catalog import MLModelCatalog