Workflow for testing and flake8

.github/workflows/python-package.yml

@@ -0,0 +1,41 @@
+name: Python package
+
+on:
+  push:
+    branches: [ "master" ]
+  pull_request:
+    branches: [ "master" ]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-20.04
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.9"]
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v3
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install llvm
+      run: |
+        sudo apt-get install llvm-8
+        LLVM_CONFIG=/usr/bin/llvm-config-8 pip install numba==0.45.0 llvmlite==0.32.1
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        python -m pip install flake8 pytest
+        if [ -f requirements-dev.txt ]; then pip install -r requirements-dev.txt; fi
+    - name: Lint with flake8
+      run: |
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 numpy_ml --count --exit-zero --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 numpy_ml --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+    - name: Test with pytest
+      run: |
+        pytest

requirements-dev.txt

@@ -1,6 +1,6 @@
-numpy
+numpy<1.24.0
 scipy
-sklearn
+scikit-learn
 torch
 networkx
 matplotlib

requirements-test.txt

@@ -1,6 +1,6 @@
-numpy
+numpy<1.24.0
 scipy
-sklearn
+scikit-learn
 torch
 networkx
 tensorflow

requirements.txt

@@ -1,2 +1,2 @@
-numpy
+numpy<1.24.0
 scipy