mirror of
https://github.com/wassname/scikit-image.git
synced 2026-08-03 13:11:25 +08:00
111 lines
3.9 KiB
YAML
111 lines
3.9 KiB
YAML
# vim ft=yaml
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# After changing this file, check it on:
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# http://lint.travis-ci.org/
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language: python
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python:
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- 3.2
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env:
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- ENV="python=2.6 numpy=1.6 cython=0.19.2"
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- ENV="python=2.7 numpy cython"
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- ENV="python=3.2"
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- ENV="python=3.3 numpy cython"
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- ENV="python=3.4 numpy cython"
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virtualenv:
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system_site_packages: true
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before_install:
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- export DISPLAY=:99.0
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- sh -e /etc/init.d/xvfb start
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- sudo apt-get update
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# Python 3.2 is not supported by Miniconda, so we use the package manager for that run.
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# NumPy has a bug in python 3 that is only fixed in the latest version,
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# hence the below wget of numpy/_import_tools.py from github.
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- if [[ $ENV == python=3.2 ]]; then
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sudo apt-get install python3-numpy;
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wget https://raw.githubusercontent.com/numpy/numpy/master/numpy/_import_tools.py -O /home/travis/virtualenv/python3.2_with_system_site_packages/lib/python3.2/site-packages/numpy/_import_tools.py;
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sudo apt-get install python3-scipy;
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pip install cython flake8 six;
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else
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wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh;
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bash miniconda.sh -b -p $HOME/miniconda;
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export PATH="$HOME/miniconda/bin:$PATH";
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hash -r;
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conda config --set always_yes yes;
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conda update conda;
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conda info -a;
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conda create -n test $ENV six scipy pip flake8 nose;
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source activate test;
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fi
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- pip install coveralls pillow
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- python check_bento_build.py
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install:
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- tools/header.py "Dependency versions"
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- tools/build_versions.py
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- export PYTHONWARNINGS=all
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- python setup.py build_ext --inplace
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script:
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# Run all tests with minimum dependencies
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- nosetests --exe -v skimage
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# Run pep8 and flake tests
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- flake8 --exit-zero --exclude=test_*,six.py skimage doc/examples viewer_examples
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# Install optional dependencies to get full test coverage
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# Notes:
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# - pyfits and imread do NOT support py3.2
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# - Use the png headers included in anaconda (from matplotlib install)
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# TODO: Remove the libm removal when anaconda fixes their libraries
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# The solution was suggested here
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# https://groups.google.com/a/continuum.io/forum/#!topic/anaconda/-DLG2ZdTkw0
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- if [[ $ENV == python=3.2 ]]; then
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sudo apt-get install -qq python3-pyqt4;
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pip install --use-mirrors -q matplotlib;
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pip install -q networkx;
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else
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conda install -q matplotlib pyqt networkx;
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sudo cp ~/miniconda/envs/test/include/png* /usr/include;
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rm ~/miniconda/envs/test/lib/libm-2.5.so;
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rm ~/miniconda/envs/test/lib/libm.*;
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sudo apt-get install -qq libtiff4-dev libwebp-dev xcftools;
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pip install -q imread;
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pip install -q pyfits;
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fi
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- sudo apt-get install -qq libfreeimage3
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# TODO: update when SimpleITK become available on py34 or hopefully pip
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- if [[ $ENV != python=3.4* ]]; then
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travis_retry easy_install -q SimpleITK;
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fi
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# Matplotlib settings
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- export MPL_DIR=$HOME/.config/matplotlib
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- mkdir -p $MPL_DIR
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- touch $MPL_DIR/matplotlibrc
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- "echo 'backend : Agg' > $MPL_DIR/matplotlibrc"
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- "echo 'backend.qt4 : PyQt4' >> $MPL_DIR/matplotlibrc"
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# Run all doc examples
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- export PYTHONPATH=$(pwd):$PYTHONPATH
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- for f in doc/examples/*.py; do python "$f"; if [ $? -ne 0 ]; then exit 1; fi done
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- for f in doc/examples/applications/*.py; do python "$f"; if [ $? -ne 0 ]; then exit 1; fi done
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# run tests again with optional dependencies to get more coverage
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# measure coverage on py3.3
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- if [[ $ENV == python=3.3* ]]; then
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nosetests --exe -v --with-doctest --with-cov --cover-package skimage;
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else
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nosetests --exe -v --with-doctest skimage;
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fi
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after_success:
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- if [[ $ENV == python=3.3* ]]; then
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coveralls;
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fi
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