wangcj05 is testing out DACKAR #415
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| name: GitHub DACKAR test | |
| run-name: ${{ github.actor }} is testing out DACKAR | |
| on: [push, pull_request] | |
| concurrency: | |
| # Here the group is defined by the head_ref of the PR | |
| group: ${{ github.head_ref }} | |
| # Here we specify that we'll cancel any "in progress" workflow of the same group. Thus if we push, ammend a commit and push | |
| # again the previous workflow will be cancelled, thus saving us github action build minutes and avoid any conflicts | |
| cancel-in-progress: true | |
| jobs: | |
| Test-DACKAR-Linux: | |
| # runs-on: [self-hosted, ubuntu-latest] | |
| # runs-on: ${{ fromJSON('["ubuntu-latest", "self-hosted"]')[github.repository == 'github/docs-internal'] }} | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Setup Conda | |
| 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 | |
| - name: Job Information | |
| run: | | |
| echo " The job was automatically triggered by a ${{ github.event_name }} event." | |
| echo " This job is now running on a ${{ runner.os }} server" | |
| echo " The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}." | |
| - name: Fetch and Branch | |
| uses: actions/checkout@v3 | |
| - name: Install DACKAR Required Libraries | |
| # Either fix scikit-learn==1.5 to allow quantulum3 to use the pretrained classifier or | |
| # Run "quantulum3-training -s" to retrain classifier | |
| run: | | |
| pwd | |
| conda create -n dackar_libs python=3.11 | |
| conda init bash && source ~/.bashrc && conda activate dackar_libs | |
| pip install spacy==3.5 stumpy textacy matplotlib nltk coreferee beautifulsoup4 networkx pysbd tomli numerizer autocorrect pywsd openpyxl quantulum3[classifier] numpy==1.26 scikit-learn pyspellchecker contextualSpellCheck pandas wordcloud jsonschema toml | |
| pip install neo4j jupyterlab | |
| pip install pytest | |
| # python -m spacy download en_core_web_lg [for some reason, GitHub machine complains this command] | |
| - name: Download trained models | |
| run: | | |
| conda init bash && source ~/.bashrc && conda activate dackar_libs | |
| python -m coreferee install en | |
| python -m nltk.downloader all | |
| pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-3.5.0/en_core_web_lg-3.5.0-py3-none-any.whl | |
| quantulum3-training -s | |
| - name: Test | |
| run: | | |
| cd tests | |
| conda init bash && source ~/.bashrc && conda activate dackar_libs | |
| pytest | |
| Test-DACKAR-Macos: | |
| runs-on: macos-latest | |
| steps: | |
| - name: Setup Conda | |
| 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 | |
| - name: Job Information | |
| run: | | |
| echo " The job was automatically triggered by a ${{ github.event_name }} event." | |
| echo " This job is now running on a ${{ runner.os }} server" | |
| echo " The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}." | |
| - name: Fetch and Branch | |
| uses: actions/checkout@v3 | |
| - name: Install DACKAR Required Libraries | |
| run: | | |
| pwd | |
| conda create -n dackar_libs python=3.11 | |
| conda init zsh && source ~/.zshrc && conda activate dackar_libs | |
| pip install spacy==3.5 stumpy textacy matplotlib nltk coreferee beautifulsoup4 networkx pysbd tomli numerizer autocorrect pywsd openpyxl quantulum3[classifier] numpy==1.26 scikit-learn pyspellchecker contextualSpellCheck pandas wordcloud jsonschema toml | |
| pip install neo4j jupyterlab | |
| pip install pytest | |
| # python -m spacy download en_core_web_lg [for some reason, GitHub machine complains this command] | |
| - name: Download trained models | |
| run: | | |
| conda init zsh && source ~/.zshrc && conda activate dackar_libs | |
| python -m coreferee install en | |
| python -m nltk.downloader all | |
| pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-3.5.0/en_core_web_lg-3.5.0-py3-none-any.whl | |
| quantulum3-training -s | |
| - name: Test | |
| run: | | |
| cd tests | |
| conda init zsh && source ~/.zshrc && conda activate dackar_libs | |
| pytest | |
| Test-DACKAR-Windows: | |
| runs-on: windows-2025 | |
| steps: | |
| - name: Setup Conda | |
| 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! | |
| activate-environment: dackar_libs | |
| auto-update-conda: true | |
| auto-activate-base: false | |
| - name: Job Information | |
| run: | | |
| echo " The job was automatically triggered by a ${{ github.event_name }} event." | |
| echo " This job is now running on a ${{ runner.os }} server" | |
| echo " The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}." | |
| - name: Fetch and Branch | |
| uses: actions/checkout@v3 | |
| - name: Install DACKAR Required Libraries | |
| run: | | |
| echo " Create dackar_libs" | |
| conda install python=3.11 | |
| echo " Conda information" | |
| conda info | |
| echo " Activate Dackar conda environment" | |
| pip install spacy==3.5 stumpy textacy matplotlib nltk coreferee beautifulsoup4 networkx pysbd tomli numerizer autocorrect pywsd openpyxl quantulum3[classifier] numpy==1.26 scikit-learn pyspellchecker contextualSpellCheck pandas wordcloud jsonschema toml | |
| pip install neo4j jupyterlab | |
| pip install pytest | |
| pip uninstall numba llvmlite | |
| pip install --no-cache-dir numba==0.61 llvmlite==0.44 | |
| conda list | |
| which python | |
| pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-3.5.0/en_core_web_lg-3.5.0-py3-none-any.whl | |
| python -m coreferee install en | |
| python -m nltk.downloader all | |
| quantulum3-training -s | |
| # python -m spacy download en_core_web_lg [for some reason, GitHub machine complains this command] | |
| # python -m spacy download en_core_web_lg | |
| # pip install numba | |
| # - name: Download trained models | |
| # run: | | |
| # pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-3.5.0/en_core_web_lg-3.5.0-py3-none-any.whl | |
| # python -m coreferee install en | |
| # python -m nltk.downloader all | |
| # quantulum3-training -s | |
| - name: Test | |
| run: | | |
| cd tests | |
| pytest | |