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  • .travis.yml
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To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

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swh:1:cnt:ccdc8e184c29b8a7c3bf3d593275ddc09debf163
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swh:1:dir:d14115e93472b6d9388f7da2ff4695926a618d77

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

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(requires biblatex-software package)
Generating citation ...
(requires biblatex-software package)
Generating citation ...
.travis.yml
language: python

matrix:
    include:
     - os: linux
       python: 3.5
       env: BACKEND=numpy
     - os: linux
       python: 3.6
       env: BACKEND=mxnet
     - os: linux
       python: 3.6
       env: BACKEND=pytorch
     - os: linux
       python: 3.6
       env: BACKEND=numpy DEPLOY_DOCS=1
       addons:
         apt:
           packages:
           - texlive
           - texlive-latex-extra
           - dvipng

install: 
    # Install miniconda
    - deactivate
    - wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
    - bash miniconda.sh -b -p $HOME/miniconda
    - export PATH="$HOME/miniconda/bin:$PATH"
    - hash -r
    - conda config --set always_yes yes --set changeps1 no
    - conda update -q conda
    # Useful for debugging any issues with conda
    - conda info -a
    # Replace dep1 dep2 ... with your dependencies
    - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION numpy scipy
    - source activate test-environment
    - pip install coveralls pytest pytest-cov nose
    - if [[ "$BACKEND" == "mxnet" ]]; then
        sudo apt-get -qq update;
        sudo apt-get install -y libatlas-base-dev;
        pip install mxnet;
      elif [[ "$BACKEND" == "pytorch" ]]; then
        conda install pytorch torchvision -c pytorch;
      elif [[ "$BACKEND" == "tensorflow" ]]; then
        pip install tensorflow;
      fi
    - pip install -e .

script:
    - travis_wait make BACKEND=$BACKEND test-coverage

after_success:
    - coveralls
    - bash deploy_docs.sh

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