Require Pillow >=13.0.0 (raises minimum Python to 3.11)

.github/workflows/code-tests.yaml

@@ -19,7 +19,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.9", "3.10"]
+        python-version: ["3.11"]
     runs-on: ubuntu-latest
 
     steps:
@@ -46,7 +46,6 @@ jobs:
           poetry config virtualenvs.in-project true
           poetry install --no-interaction --without docs
           poetry run install_pyg_workshop
-          poe install-torchdrug
 
       - name: Run tests
         run: |

CHANGELOG.md

@@ -33,6 +33,8 @@
 * Add an optional group for installing plotting and analysis specific libraries to lighten the install of the core framework [#90](https://github.com/a-r-j/ProteinWorkshop/pull/90)
 * Update CI workflow actions to latest versions and replace retired Mambaforge installer with Miniforge; fix CI `pull_request` trigger, run test matrix across all platforms and fix cache key
 * Fix CI: install with `setup-python` instead of conda, test on Linux only (macOS/Windows unsupported), and switch the dummy test dataset from the retired RCSB MMTF service to PDB format
+* Require Pillow >=13.0.0; this raises the minimum supported Python version to 3.11 (drops 3.9 and 3.10)
+* Remove the `torchdrug` dependency (no release supports Python 3.11): GearNet now uses `torch.sparse_coo_tensor` directly and drops an unused torchdrug-only helper
 
 ### 0.2.5 (28/12/2023)
 

README.md

@@ -85,7 +85,7 @@ export DATA_PATH="where/you/want/data/" # e.g., `export DATA_PATH="proteinworksh
 However, for full exploration we recommend cloning the repository and building from source.
 
 ### Building from source
-With a local virtual environment activated (e.g., one created with `conda create -n proteinworkshop python=3.10`):
+With a local virtual environment activated (e.g., one created with `conda create -n proteinworkshop python=3.11`):
 1. Clone and install the project
 
     ```bash