Switch to ruff (#10)

Author: flying-sheep

.github/workflows/pytest.yml

@@ -25,16 +25,16 @@ jobs:
       - name: Poetry install
         run: |
           poetry lock --check
-          poetry install --extras tests --extras docs --extras annlibs
+          poetry install --with test,dev --extras annlibs
 
       - name: Run test suite
         run: |
           poetry run pytest -v --color=yes
 
-      - name: Run black
+      - name: Run formatter
         run: |
-          poetry run black --check sklearn_ann
+          poetry run black --check .
 
-      - name: Run flake8
+      - name: Run style checks
         run: |
-          poetry run flake8 sklearn_ann
+          poetry run ruff .

.gitignore

@@ -1,4 +1,5 @@
 __pycache__/
+/*cache/
 docs/_build/
 activate.sh
 

docs/conf.py

@@ -16,7 +16,6 @@
 
 import sphinx_rtd_theme
 
-
 # -- Project information -----------------------------------------------------
 
 project = "sklearn-ann"

examples/rnn_dbscan_big.py

@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 """
 =======================================================
 Demo of RnnDBSCAN clustering algorithm on large dataset
@@ -11,10 +10,10 @@
 
 import numpy as np
 from joblib import Memory
+from sklearn import metrics
+from sklearn.datasets import fetch_openml
 
 from sklearn_ann.cluster.rnn_dbscan import simple_rnn_dbscan_pipeline
-from sklearn.datasets import fetch_openml
-from sklearn import metrics
 
 
 # #############################################################################

examples/rnn_dbscan_simple.py

@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 """
 ===================================
 Demo of RNN-DBSCAN clustering algorithm
@@ -12,12 +11,11 @@
 print(__doc__)
 
 import numpy as np
-
-from sklearn_ann.cluster.rnn_dbscan import RnnDBSCAN
 from sklearn import metrics
 from sklearn.datasets import make_blobs
 from sklearn.preprocessing import StandardScaler
 
+from sklearn_ann.cluster.rnn_dbscan import RnnDBSCAN
 
 # #############################################################################
 # Generate sample data