wangcj05 is testing out DACKAR #7
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name: GitHub DACKAR test | |
run-name: ${{ github.actor }} is testing out DACKAR | |
on: [push, pull_request] | |
jobs: | |
Test-DACKAR-Linux: | |
# runs-on: [self-hosted, ubuntu-latest] | |
runs-on: ${{ fromJSON('["ubuntu-latest", "self-hosted"]')[github.repository == 'github/docs-internal'] }} | |
steps: | |
- uses: conda-incubator/setup-miniconda@v3 | |
with: | |
miniconda-version: "latest" | |
channels: conda-forge, defaults | |
use-only-tar-bz2: true # IMPORTANT: This needs to be set for caching to work properly! | |
auto-update-conda: true | |
auto-activate-base: true | |
- run: echo " The job was automatically triggered by a ${{ github.event_name }} event." | |
- run: echo " This job is now running on a ${{ runner.os }} server" | |
- run: echo " The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}." | |
- name: Check out repository code | |
uses: actions/checkout@v3 | |
- run: pwd | |
- run: | | |
conda create -n dackar_libs python=3.11 | |
conda init bash && source ~/.bashrc && conda activate dackar_libs | |
pip install spacy==3.5 textacy matplotlib nltk coreferee beautifulsoup4 networkx pysbd tomli numerizer autocorrect pywsd openpyxl quantulum3[classifier] numpy==1.26 scikit-learn pyspellchecker contextualSpellCheck pandas | |
python3 -m spacy download en_core_web_lg | |
python3 -m coreferee install en | |
python3 -m nltk.downloader all |