Testing with Python 3.11 and support it

.github/workflows/testing_ci.yml

@@ -20,45 +20,43 @@ jobs:
             fail-fast: false
             matrix:
                 os: [ubuntu-latest, windows-latest, macOS-latest]
-                python-version: ["3.7", "3.10"]
-                torch-version: ["1.13.1"]
+                python-version: ["3.7", "3.10", "3.11"]
 
         steps:
             - name: Check out the repo code
               uses: actions/checkout@v3
 
-            - name: Determine the Python version
+            - name: Determine the PyTorch version
               uses: haya14busa/action-cond@v1
-              id: condval
+              id: determine_pytorch_ver
               with:
-                cond: ${{ matrix.python-version == 3.7 && matrix.os == 'macOS-latest' }}
-                # Note: the latest 3.7 subversion 3.7.17 for MacOS has "ModuleNotFoundError: No module named '_bz2'"
-                if_true: "3.7.16"
-                if_false: ${{ matrix.python-version }}
+                cond: ${{ matrix.python-version == 3.7 }}
+                if_true: "1.13.1"
+                if_false: "2.1.0"
 
             - name: Set up Python
               uses: actions/setup-python@v4
               with:
-                python-version: ${{ steps.condval.outputs.value }}
+                python-version: ${{ matrix.python-version }}
                 check-latest: true
                 cache: pip
                 cache-dependency-path: |
                   setup.cfg
 
-            - name: Install PyTorch ${{ matrix.torch-version }}+cpu
+            - name: Install PyTorch ${{ steps.determine_pytorch_ver.outputs.value }}+cpu
               # we have to install torch in advance because torch_sparse needs it for compilation,
               # refer to https://github.com/rusty1s/pytorch_sparse/issues/156#issuecomment-1304869772 for details
               run: |
                   which python
                   which pip
                   pip install --upgrade pip
-                  pip install torch==${{ matrix.torch-version }} -f https://download.pytorch.org/whl/cpu
+                  pip install torch==${{ steps.determine_pytorch_ver.outputs.value }} -f https://download.pytorch.org/whl/cpu
                   python -c "import torch; print('PyTorch:', torch.__version__)"
 
             - name: Install other dependencies
               run: |
                   pip install -r requirements.txt
-                  pip install torch-geometric==2.3.1 torch-scatter==2.1.1 torch-sparse==0.6.17 -f "https://data.pyg.org/whl/torch-${{ matrix.torch-version }}+cpu.html"
+                  pip install torch-geometric torch-scatter torch-sparse -f "https://data.pyg.org/whl/torch-${{ steps.determine_pytorch_ver.outputs.value }}+cpu.html"
                   pip install pypots[dev]
 
             - name: Fetch the test environment details

README.md

@@ -8,7 +8,7 @@
 
 <p align="center">
     <a href="https://docs.pypots.com/en/latest/install.html#reasons-of-version-limitations-on-dependencies">
-       <img alt="Python version" src="https://img.shields.io/badge/Python-v3.7--3.10-E97040?logo=python&logoColor=white">
+       <img alt="Python version" src="https://img.shields.io/badge/Python-v3.7--3.11-E97040?logo=python&logoColor=white">
     </a>
     <a href="https://github.com/WenjieDu/PyPOTS">
         <img alt="powered by Pytorch" src="https://img.shields.io/badge/PyTorch-❤️-F8C6B5?logo=pytorch&logoColor=white">

docs/faq.rst

@@ -14,11 +14,11 @@ Note this exception only applies if you commit to the maintenance of your model
 
 Join PyPOTS
 ^^^^^^^^^^^
-.. _becoming-a-maintainer:
+.. _becoming-a-volunteer:
 
-Becoming a Maintainer
-"""""""""""""""""""""
-To join the team and become a maintainer of PyPOTS, you should
+Becoming a Volunteer Developer
+""""""""""""""""""""""""""""""
+To become a member of PyPOTS volunteer development team, you should
 
 1. love open-source science and be active on GitHub;
 2. be familiar with the PyPOTS codebase and have made at least one pull request merged into branch ``main`` of PyPOTS,
@@ -28,21 +28,14 @@ To join the team and become a maintainer of PyPOTS, you should
    and become a member of the channel ``#dev-team``. ``#dev-team`` currently is a public channel, and you don't need an invitation to join it;
 5. commit to constantly maintain PyPOTS project and obey our development principles;
 
-After meeting up with the above conditions,
-you can propose to get a maintainer role by dropping an email to `[email protected] <mailto:[email protected]>`_.
-We will review your request and reply to you as soon as possible.
 Once you obtain the role, you'll be listed as a member on the ``About Us`` pages of
 `PyPOTS main site <https://pypots.com/about/>`_
 and
 `PyPOTS docs site <https://docs.pypots.com/en/latest/about_us.html>`_.
 
-**NOTE**: The maintainer role is not permanent. The role is called "maintainer" because it actively maintains the project.
-You can take a leave of absence from the role with notice at any time.
-But if you're inactive for a long time (more than three months. With reasons, a longer period is allowed for sure), your role may be deactivated.
-
 Becoming a Lead
 """""""""""""""
-To become a lead at PyPOTS, surely you have to already obtain a maintainer role first, i.e. you've met all requirements in the section :ref:`becoming-a-maintainer`.
+To become a lead at PyPOTS, surely you have to already be a volunteer developer first, i.e. you've met all requirements in the section :ref:`becoming-a-volunteer`.
 Your research should be highly related to data mining/machine learning on POTS data, and
 you need to prove that you're capable of proposing a research plan solely and conducting it.
 You're willing to take developing PyPOTS as your responsibility and commit to constantly and regularly

docs/index.rst

@@ -12,7 +12,7 @@ Welcome to PyPOTS docs!
 
 **A Python Toolbox for Data Mining on Partially-Observed Time Series**
 
-.. image:: https://img.shields.io/badge/Python-v3.7--3.10-E97040?logo=python&logoColor=white
+.. image:: https://img.shields.io/badge/Python-v3.7--3.11-E97040?logo=python&logoColor=white
    :alt: Python version
    :target: https://docs.pypots.com/en/latest/install.html#reasons-of-version-limitations-on-dependencies
 

docs/install.rst

@@ -25,7 +25,7 @@ Alternatively, you can install from the latest source code which may be not offi
 
 Required Dependencies
 """""""""""""""""""""
-* Python >=3.7, <=3.10
+* Python >=3.7, <=3.11
 * numpy
 * scipy
 * scikit-learn
@@ -49,9 +49,14 @@ Reasons of Version Limitations on Dependencies
 * **Why we need python >=3.7?**
 
 Python v3.6 and before versions have no longer been supported officially (check out `status of Python versions here <https://devguide.python.org/versions/>`_).
-Besides, PyG (torch-geometric) is available starting from Python v3.7, please refer to https://pytorch-geometric.readthedocs.io/en/latest/install/installation.html#installation-via-anaconda.
+Besides, PyG (torch-geometric) is available for Python v3.7 to v3.11 (refer to https://pytorch-geometric.readthedocs.io/en/latest/install/installation.html#installation-via-anaconda ),
+and this is also why we need Python version to be lower than 3.12 so far.
 Although torch-geometric is an optional dependency, we hope things go smoothly when our users opt to install it.
 
+In addition, note that Python v.3.7 has also been in the end-of-life status since 2023-06-27.
+Hence, we will raise the minimum support Python version to v3.8 in the future.
+Please use Python v3.8 or above if possible also for the security of your development environment.
+
 * **Why we need pandas <2.0.0?**
 
 Because v2 may cause ``ModuleNotFoundError: No module named 'pandas.core.indexes.numeric'``,