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1st take on continuous integration via travis
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‎.gitignore‎

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# System-specific temporary and index files
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.DS_Store
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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# IPython Notebooks
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Testing TPOT usage.ipynb
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.ipynb_checkpoints/*
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.ipynb_checkpoints/*

‎.travis.yml‎

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language: python
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virtualenv:
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system_site_packages: true
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env:
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matrix:
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# let's start simple:
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#- PYTHON_VERSION="2.7" LATEST="true"
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- PYTHON_VERSION="3.4" LATEST="true"
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#- PYTHON_VERSION="3.5" LATEST="true"
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#- PYTHON_VERSION="3.4" COVERAGE="true" LATEST="true"
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install: source ./ci/.travis_install.sh
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script: bash ./ci/.travis_test.sh
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after_success:
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# Ignore coveralls failures as the coveralls server is not very reliable
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# but we don't want travis to report a failure in the github UI just
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# because the coverage report failed to be published.
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- if [[ "$COVERAGE" == "true" ]]; then coveralls || echo "failed"; fi
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cache: apt
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sudo: false

‎ci/.travis_install.sh‎

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#!/bin/bash
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# modified from https://github.com/trevorstephens/gplearn
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# This script is meant to be called by the "install" step defined in
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# .travis.yml. See http://docs.travis-ci.com/ for more details.
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# The behavior of the script is controlled by environment variabled defined
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# in the .travis.yml in the top level folder of the project.
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# License: GNU/GPLv3
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set -e
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# Fix the compilers to workaround avoid having the Python 3.4 build
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# lookup for g++44 unexpectedly.
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export CC=gcc
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export CXX=g++
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# Deactivate the travis-provided virtual environment and setup a
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# conda-based environment instead
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deactivate
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# Use the miniconda installer for faster download / install of conda
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# itself
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wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh \
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-O miniconda.sh
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chmod +x miniconda.sh && ./miniconda.sh -b
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export PATH=/home/travis/miniconda/bin:$PATH
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conda update --yes conda
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# Configure the conda environment and put it in the path using the
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# provided versions
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if [[ "$LATEST" == "true" ]]; then
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conda create -n testenv --yes python=$PYTHON_VERSION pip nose \
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numpy scipy scikit-learn cython pandas deap
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else
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conda create -n testenv --yes python=$PYTHON_VERSION pip nose \
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numpy=$NUMPY_VERSION scipy=$SCIPY_VERSION \
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scikit-learn=$SKLEARN_VERSION \
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pandas=$PANDAS_VERSION \
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deap=$DEAP_VERSION \
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cython
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fi
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source activate testenv
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if [[ "$COVERAGE" == "true" ]]; then
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pip install coverage coveralls
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fi
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# build output in the travis output when it succeeds.
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python --version
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python -c "import numpy; print('numpy %s' % numpy.__version__)"
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python -c "import scipy; print('scipy %s' % scipy.__version__)"
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python -c "import sklearn; print('sklearn %s' % sklearn.__version__)"
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python -c "import pandas; print('pandas %s' % pandas.__version__)"
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python -c "import deap; print('deap %s' % deap.__version__)"
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python setup.py build_ext --inplace

‎ci/.travis_test.sh‎

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# modified from https://github.com/trevorstephens/gplearn
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# This script is meant to be called by the "install" step defined in
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# .travis.yml. See http://docs.travis-ci.com/ for more details.
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# The behavior of the script is controlled by environment variabled defined
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# in the .travis.yml in the top level folder of the project.
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# License: GNU/GPLv3
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set -e
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python --version
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python -c "import numpy; print('numpy %s' % numpy.__version__)"
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python -c "import scipy; print('scipy %s' % scipy.__version__)"
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python -c "import sklearn; print('sklearn %s' % sklearn.__version__)"
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python -c "import pandas; print('pandas %s' % pandas.__version__)"
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python -c "import deap; print('deap %s' % deap.__version__)"
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if [[ "$COVERAGE" == "true" ]]; then
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nosetests -s -v --with-coverage
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else
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nosetests -s -v
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fi
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#make test-doc test-sphinxext

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