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