Raise the minimum support python version to v3.8 (#436)

* depen: raise the minimum support python version to v3.8;

.github/workflows/testing_ci.yml

@@ -19,21 +19,14 @@ jobs:
  strategy:
  fail-fast: false
  matrix:
- os: [ubuntu-latest, windows-latest, macOS-13]
- python-version: ["3.7", "3.11"]
+ os: [ubuntu-latest, windows-latest, macOS-latest]
+ python-version: ["3.8", "3.11"]
+ pytorch-version: ["2.3.0"]
 
  steps:
  - name: Check out the repo code
  uses: actions/checkout@v3
 
- - name: Determine the PyTorch version
- uses: haya14busa/action-cond@v1
- id: determine_pytorch_ver
- with:
- 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:
@@ -43,13 +36,14 @@ jobs:
  cache-dependency-path: |
  setup.cfg
 
- - name: Install PyTorch ${{ steps.determine_pytorch_ver.outputs.value }}+cpu
+ - name: Install PyTorch ${{ matrix.pytorch-version }}+cpu
  # we have to install torch in advance because torch_sparse needs it for compilation,
  # refer to https://github.com/rusty1s/pytorch_sparse/issues/156#issuecomment-1304869772 for details
  run: |
  which python
  which pip
- pip install torch==${{ steps.determine_pytorch_ver.outputs.value }} -f https://download.pytorch.org/whl/cpu
+ pip install --upgrade
+ pip install numpy==1.24 torch==${{ matrix.pytorch-version }} -f https://download.pytorch.org/whl/cpu
  python -c "import torch; print('PyTorch:', torch.__version__)"
 
  - name: Install other dependencies
@@ -64,7 +58,7 @@ jobs:
 
  - name: Continue to install torch-geometric dependencies
  run: |
- pip install torch-geometric torch-scatter torch-sparse -f "https://data.pyg.org/whl/torch-${{ steps.determine_pytorch_ver.outputs.value }}+cpu.html"
+ pip install torch-geometric torch-scatter torch-sparse -f "https://data.pyg.org/whl/torch-${{ matrix.pytorch-version }}+cpu.html"
  pip install pypots[dev]
  python_site_path=`python -c "import site; print(site.getsitepackages()[0])"`
  echo "python site-packages path: $python_site_path"

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+-E97040?logo=python&logoColor=white">
+  <img alt="Python version" src="https://img.shields.io/badge/Python-v3.8+-E97040?logo=python&logoColor=white">
  </a>
  <a href="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/WenjieDu/PyPOTS">
   <img alt="powered by Pytorch" src="https://img.shields.io/badge/PyTorch-%E2%9D%A4%EF%B8%8F-F8C6B5?logo=pytorch&logoColor=white">
@@ -177,8 +177,8 @@ With PyGrinder, you can introduce synthetic missing values into your datasets wi
  <img src="https://pypots.com/figs/pypots_logos/BenchPOTS/logo_FFBG.svg" align="left" width="140" alt="BenchPOTS logo"/>
 </a>
 
-👈 To fairly evaluate the performance of PyPOTS algorithms, the benchmarking suite [BenchPOTS](https://github.com/WenjieDu/BenchPOTS) is created, 
-which provides standard and unified data-preprocessing pipelines to prepare datasets for measuring the performance of different 
+👈 To fairly evaluate the performance of PyPOTS algorithms, the benchmarking suite [BenchPOTS](https://github.com/WenjieDu/BenchPOTS) is created,
+which provides standard and unified data-preprocessing pipelines to prepare datasets for measuring the performance of different
 POTS algorithms on various tasks.
 
 <a href="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/WenjieDu/BrewPOTS">

README_zh.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+-E97040?logo=python&logoColor=white">
+  <img alt="Python version" src="https://img.shields.io/badge/Python-v3.8+-E97040?logo=python&logoColor=white">
  </a>
  <a href="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/WenjieDu/PyPOTS">
   <img alt="powered by Pytorch" src="https://img.shields.io/badge/PyTorch-%E2%9D%A4%EF%B8%8F-F8C6B5?logo=pytorch&logoColor=white">

docs/install.rst

@@ -20,7 +20,7 @@ It is recommended to use **pip** or **conda** for PyPOTS installation as shown b
 
 Required Dependencies
 """""""""""""""""""""
-* Python >=3.7
+* Python >=3.8
 * h5py
 * numpy
 * scipy
@@ -44,25 +44,18 @@ Optional Dependencies
 
 Reasons of Version Limitations on Dependencies
 **********************************************
-* **Why we need python >=3.7?**
+* **Why we need python >=3.8?**
 
 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 for Python >= v3.7 (refer to https://pytorch-geometric.readthedocs.io/en/latest/install/installation.html#installation-via-anaconda ).
 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.
+Hence, we raise the minimum support Python version to v3.8.
 
 * **Why we need PyTorch >=1.10?**
 
 Because of pytorch_sparse, please refer to https://github.com/rusty1s/pytorch_sparse/issues/207#issuecomment-1065549338.
 
-* **Why we need TSDB >=0.2 and PyGrinder >=0.4?**
-Since v0.2, all libraries in PyPOTS Ecosystem switch their licenses from GPL-v3-only to BSD-3-Clause, which has less constraints for users.
-Please refer to the discussion in issue `PyPOTS#227 <https://github.com/WenjieDu/PyPOTS/issues/227>`_ for details.
-
-
 Acceleration
 """"""""""""
 GPU Acceleration

setup.py

@@ -60,7 +60,7 @@
  "pygrinder>=0.6",
  "benchpots>=0.1",
  ],
- python_requires=">=3.7.0",
+ python_requires=">=3.8.0",
  setup_requires=["setuptools>=38.6.0"],
  entry_points={"console_scripts": ["pypots-cli=pypots.cli.pypots_cli:main"]},
  classifiers=[