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.travis.yml
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.travis.yml
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# vim ft=yaml
# travis-ci.org definition for Nimfa tests
language: python
sudo: false
cache:
apt: true
addons:
apt:
packages:
- libatlas-dev
- libatlas-base-dev
- liblapack-dev
python:
- "2.7"
# - "3.4"
before_install:
- wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh
- bash miniconda.sh -b -p $HOME/miniconda
- export PATH="$HOME/miniconda/bin:$PATH"
- conda update --yes conda
install:
- conda install --yes python=$TRAVIS_PYTHON_VERSION pip numpy scipy pytest matplotlib Pillow
- pip install pep8 python-coveralls pytest-cov
- pip install -e .
before_script:
- "export DISPLAY=:99.0"
- "sh -e /etc/init.d/xvfb start"
# - sleep 3 # give xvfb some time to start
- wget http://files.grouplens.org/datasets/movielens/ml-100k.zip -P nimfa/datasets/MovieLens/
- unzip -j nimfa/datasets/MovieLens/ml-100k.zip -d nimfa/datasets/MovieLens/
- wget http://cbcl.mit.edu/projects/cbcl/software-datasets/faces.tar.gz -P nimfa/datasets/CBCL_faces/
- tar zxvf nimfa/datasets/CBCL_faces/faces.tar.gz -C nimfa/datasets/CBCL_faces/
- tar zxvf nimfa/datasets/CBCL_faces/face.train.tar.gz -C nimfa/datasets/CBCL_faces/
- mv nimfa/datasets/CBCL_faces/train/face/ nimfa/datasets/CBCL_faces/
script:
- py.test --cov=nimfa
after_success:
- coveralls
# TODO Later if you decide to upload tagged releases to pypi automagically
# see https://docs.travis-ci.com/user/deployment/pypi/ for details
#deploy:
# provider: pypi
# distributions: sdist
# user: YOURUSERNAME
# password:
# secure: YOUR_ENCRYPTED_WITH_TRAVISTOOLS_PASSWORD_FOR_PYPI
# on:
# tags: true
# branch: master
# repo: YOURGITHUBLOGIN/nimfa
# condition: "$TRAVIS_PYTHON_VERSION == 2.7 && $TRAVIS_TAG =~ ^v[0-9]*[.][.0-9]*"