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.github/workflows/github-actions.yml

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@@ -130,27 +130,30 @@ jobs:
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- name: Install DACKAR Required Libraries
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run: |
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echo " Create dackar_libs"
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conda install python=3.11
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conda install python=3.12
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echo " Conda information"
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conda info
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echo " Activate Dackar conda environment"
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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
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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
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pip install neo4j jupyterlab
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pip install pytest
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conda install -c conda-forge stumpy
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conda list
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which python
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# python -m spacy download en_core_web_lg [for some reason, GitHub machine complains this command]
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# python -m spacy download en_core_web_lg
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# pip install numba
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- name: Download trained models
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run: |
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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
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python -m coreferee install en
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python -m nltk.downloader all
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quantulum3-training -s
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# python -m spacy download en_core_web_lg [for some reason, GitHub machine complains this command]
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# python -m spacy download en_core_web_lg
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# pip install numba
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# - name: Download trained models
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# run: |
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# 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
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# python -m coreferee install en
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# python -m nltk.downloader all
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# quantulum3-training -s
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- name: Test
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run: |
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cd tests

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