Added github action on github master branch.

Change tolerance in test
Change type hints to be compatible with python <3.9

.github/workflows/test_dev.yml

@@ -0,0 +1,40 @@
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: Tests (dev)
+
+on:
+  push:
+    branches: [ "dev" ]
+  pull_request:
+    branches: [ "dev" ]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]
+
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v5
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        python -m pip install flake8 pytest
+        python -m pip install -e .
+    - name: Lint with flake8
+      run: |
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+    - name: Test with pytest
+      run: |
+        pytest

.github/workflows/test_master.yml

@@ -0,0 +1,40 @@
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: Tests (master)
+
+on:
+  push:
+    branches: [ "master"]
+  pull_request:
+    branches: [ "master"]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]
+
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v5
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        python -m pip install flake8 pytest
+        python -m pip install -e .
+    - name: Lint with flake8
+      run: |
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+    - name: Test with pytest
+      run: |
+        pytest

README.md

@@ -1,4 +1,13 @@
 # Fréchet ChemNet Distance
+![PyPI](https://img.shields.io/pypi/v/fcd)
+![PyPI - Python Version](https://img.shields.io/pypi/pyversions/fcd)
+![Tests (master)](https://github.com/bioinf-jku/fcd/actions/workflows/test-package_master.yml/badge.svg?branch=dev)
+![Tests (dev)](https://github.com/bioinf-jku/fcd/actions/workflows/test-package_dev.yml/badge.svg?branch=dev)
+![PyPI - Downloads](https://img.shields.io/pypi/dm/fcd)
+![GitHub release (latest by date)](https://img.shields.io/github/v/release/bioinf-jku/fcd)
+![GitHub release date](https://img.shields.io/github/release-date/bioinf-jku/fcd)
+![GitHub](https://img.shields.io/github/license/bioinf-jku/fcd)
+
 
 Code for the paper "Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery"
 [JCIM](https://pubs.acs.org/doi/10.1021/acs.jcim.8b00234) /

fcd/fcd.py

@@ -50,7 +50,7 @@ def get_predictions(
     smiles_list: List[str],
     batch_size: int = 128,
     n_jobs: int = 1,
-    device: str | None = None,
+    device: Optional[str] = None,
 ) -> np.ndarray:
     """Calculate Chemnet activations
 
@@ -81,7 +81,7 @@ def get_predictions(
     return np.row_stack(chemnet_activations)
 
 
-def get_fcd(smiles1: List[str], smiles2: List[str], model: nn.Module | None = None, device=None) -> float:
+def get_fcd(smiles1: List[str], smiles2: List[str], model: Optional[nn.Module] = None, device=None) -> float:
     """Calculate FCD between two sets of Smiles
 
     Args:

fcd/utils.py

@@ -2,7 +2,7 @@
 import warnings
 from contextlib import contextmanager
 from multiprocessing import Pool
-from typing import List
+from typing import List, Optional
 
 import numpy as np
 import torch
@@ -43,7 +43,7 @@ def tokenize(smiles: str) -> List[str]:
     return tok_smile
 
 
-def get_one_hot(smiles: str, pad_len: int | None = None) -> np.ndarray:
+def get_one_hot(smiles: str, pad_len: Optional[int] = None) -> np.ndarray:
     """Generate one-hot representation of a Smiles string.
 
     Args:

test/test_fcd.py

@@ -1,9 +1,9 @@
-import pytest
 import numpy as np
+import pytest
+from pytest import approx
 
 from fcd import get_fcd
-from fcd.utils import get_one_hot, SmilesDataset
-from pytest import approx
+from fcd.utils import SmilesDataset, get_one_hot
 
 
 class TestFCD:
@@ -12,7 +12,7 @@ def test_random_smiles_cpu(self):
         smiles_list2 = ["ISi#()", "Si#()+", "#()+-", "()+-1"]
         target = 8.8086
         fcd = get_fcd(smiles_list1, smiles_list2, device="cpu")
-        assert fcd == approx(target, abs=1e-3)
+        assert fcd == approx(target, abs=1e-2)
 
     def test_random_smiles_gpu(self):
         # Skip test if CUDA is not available