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Add informer as an imputation model #462

Add informer as an imputation model

Add informer as an imputation model #462

Workflow file for this run

name: CI
on:
push:
branches:
- main
- dev
- temp_test_branch # if in need, create such a temporary branch to test some functions
pull_request:
branches:
- dev
jobs:
CI-testing:
runs-on: ${{ matrix.os }}
defaults:
run:
shell: bash
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, windows-latest, macOS-latest]
python-version: ["3.7", "3.11"]
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:
python-version: ${{ matrix.python-version }}
check-latest: true
cache: pip
cache-dependency-path: |
setup.cfg
- name: Install PyTorch ${{ steps.determine_pytorch_ver.outputs.value }}+cpu
# we have to install torch in advance because torch_sparse needs it for compilation,
# refer to https://github.com/rusty1s/pytorch_sparse/issues/156#issuecomment-1304869772 for details
run: |
which python
which pip
pip install torch==${{ 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 torch-scatter torch-sparse -f "https://data.pyg.org/whl/torch-${{ steps.determine_pytorch_ver.outputs.value }}+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"
rm -rf $python_site_path/pypots
python -c "import shutil;import site;shutil.copytree('pypots',site.getsitepackages()[0]+'/pypots')"
- name: Fetch the test environment details
run: |
which python
pip list
- name: Test with pytest
run: |
python tests/global_test_config.py
rm -rf testing_results && rm -rf tests/__pycache__ && rm -rf tests/*/__pycache__
python -m pytest -rA tests/*/* -s -n auto --cov=pypots --dist=loadgroup --cov-config=.coveragerc
- name: Generate the LCOV report
run: |
python -m coverage lcov
- name: Submit the report
uses: coverallsapp/github-action@master
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
path-to-lcov: "coverage.lcov"