utilize memory mapped numpy arrays for sharding to reduce memory burden #189
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# This is a basic workflow to help you get started with Actions | |
name: Build Documentation | |
on: [push] | |
jobs: | |
build-linux: | |
runs-on: ubuntu-latest | |
strategy: | |
max-parallel: 5 | |
steps: | |
- uses: actions/checkout@v2 | |
- name: Set up Python 3.10 | |
uses: actions/setup-python@v2 | |
with: | |
python-version: '3.10' | |
- name: Add conda to system path | |
run: | | |
# $CONDA is an environment variable pointing to the root of the miniconda directory | |
echo $CONDA/bin >> $GITHUB_PATH | |
- name: Install Dependencies with Mamba | |
run: | | |
conda env update -n base --file .github/workflows/environment.yml | |
- name: Install Repository Module | |
run: | | |
pip install ./ |