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#!/bin/bash
set -ex
# travis boxes give you 1.5 cpus
export NPY_NUM_BUILD_JOBS=2
# setup env
if [ -r /usr/lib/libeatmydata/libeatmydata.so ]; then
# much faster package installation
export LD_PRELOAD=/usr/lib/libeatmydata/libeatmydata.so
fi
setup_base()
{
# We used to use 'setup.py install' here, but that has the terrible
# behaviour that if a copy of the package is already installed in
# the install location, then the new copy just gets dropped on top
# of it. Travis typically has a stable numpy release pre-installed,
# and if we don't remove it, then we can accidentally end up
# e.g. running old test modules that were in the stable release but
# have been removed from master. (See gh-2765, gh-2768.) Using 'pip
# install' also has the advantage that it tests that numpy is 'pip
# install' compatible, see e.g. gh-2766...
if [ -z "$USE_DEBUG" ]; then
if [ -z "$IN_CHROOT" ]; then
$PIP install .
else
sysflags="$($PYTHON -c "from distutils import sysconfig; print (sysconfig.get_config_var('CFLAGS'))")"
# windows compilers have this requirement
CFLAGS="$sysflags -Werror=declaration-after-statement -Werror=nonnull -Wlogical-op" $PIP install . 2>&1 | tee log
grep -v "_configtest" log | grep -vE "ld returned 1|no previously-included files matching" | grep -E "warning\>";
# accept a mysterious memset warning that shows with -flto
test $(grep -v "_configtest" log | grep -vE "ld returned 1|no previously-included files matching" | grep -E "warning\>" -c) -lt 2;
fi
else
sysflags="$($PYTHON -c "from distutils import sysconfig; print (sysconfig.get_config_var('CFLAGS'))")"
# windows compilers have this requirement
CFLAGS="$sysflags -Werror=declaration-after-statement -Werror=nonnull" $PYTHON setup.py build_ext --inplace
fi
}
setup_chroot()
{
# this can all be replaced with:
# apt-get install libpython2.7-dev:i386
# CC="gcc -m32" LDSHARED="gcc -m32 -shared" LDFLAGS="-m32 -shared" linux32 python setup.py build
# when travis updates to ubuntu 14.04
DIR=$1
# speeds up setup as we don't have eatmydata during bootstrap
sudo mkdir -p $DIR
sudo mount -t tmpfs -o size=4G tmpfs $DIR
set -u
sudo apt-get update
sudo apt-get -qq -y --force-yes install debootstrap eatmydata
sudo debootstrap --variant=buildd --include=fakeroot,build-essential --arch=$ARCH --foreign $DIST $DIR
sudo chroot $DIR ./debootstrap/debootstrap --second-stage
sudo rsync -a $TRAVIS_BUILD_DIR $DIR/
echo deb http://archive.ubuntu.com/ubuntu/ $DIST main restricted universe multiverse | sudo tee -a $DIR/etc/apt/sources.list
echo deb http://archive.ubuntu.com/ubuntu/ $DIST-updates main restricted universe multiverse | sudo tee -a $DIR/etc/apt/sources.list
echo deb http://security.ubuntu.com/ubuntu $DIST-security main restricted universe multiverse | sudo tee -a $DIR/etc/apt/sources.list
sudo chroot $DIR bash -c "apt-get update"
sudo chroot $DIR bash -c "apt-get install -qq -y --force-yes eatmydata"
echo /usr/lib/libeatmydata/libeatmydata.so | sudo tee -a $DIR/etc/ld.so.preload
sudo chroot $DIR bash -c "apt-get install -qq -y --force-yes libatlas-dev libatlas-base-dev gfortran python3-dev python3-nose python3-pip cython3 cython"
}
setup_bento()
{
export CI_ROOT=$PWD
cd ..
# Waf
wget https://raw.githubusercontent.com/numpy/numpy-vendor/master/waf-1.7.16.tar.bz2
tar xjvf waf-1.7.16.tar.bz2
cd waf-1.7.16
python waf-light
export WAFDIR=$PWD
cd ..
# Bento
wget https://github.com/cournape/Bento/archive/master.zip
unzip master.zip
cd Bento-master
python bootstrap.py
export BENTO_ROOT=$PWD
cd ..
cd $CI_ROOT
# In-place numpy build
$BENTO_ROOT/bentomaker build -v -i -j
# Prepend to PYTHONPATH so tests can be run
export PYTHONPATH=$PWD:$PYTHONPATH
}
run_test()
{
if [ -n "$USE_DEBUG" ]; then
export PYTHONPATH=$PWD
fi
# We change directories to make sure that python won't find the copy
# of numpy in the source directory.
mkdir -p empty
cd empty
INSTALLDIR=$($PYTHON -c "import os; import numpy; print(os.path.dirname(numpy.__file__))")
export PYTHONWARNINGS=default
$PYTHON ../tools/test-installed-numpy.py # --mode=full
# - coverage run --source=$INSTALLDIR --rcfile=../.coveragerc $(which $PYTHON) ../tools/test-installed-numpy.py
# - coverage report --rcfile=../.coveragerc --show-missing
}
# travis venv tests override python
PYTHON=${PYTHON:-python}
PIP=${PIP:-pip}
if [ -n "$USE_DEBUG" ]; then
sudo apt-get update
sudo apt-get install -qq -y --force-yes python3-dbg python3-dev python3-nose
PYTHON=python3-dbg
fi
if [ -n "$PYTHON_OO" ]; then
PYTHON="$PYTHON -OO"
fi
export PYTHON
export PIP
if [ -n "$USE_WHEEL" ] && [ $# -eq 0 ]; then
# Build wheel
$PIP install wheel
$PYTHON setup.py bdist_wheel
# Make another virtualenv to install into
virtualenv --python=python venv-for-wheel
. venv-for-wheel/bin/activate
# Move out of source directory to avoid finding local numpy
pushd dist
$PIP install --pre --upgrade --find-links . numpy
$PIP install nose
popd
run_test
elif [ "$USE_CHROOT" != "1" ] && [ "$USE_BENTO" != "1" ]; then
setup_base
run_test
elif [ -n "$USE_CHROOT" ] && [ $# -eq 0 ]; then
DIR=/chroot
setup_chroot $DIR
# run again in chroot with this time testing
sudo linux32 chroot $DIR bash -c "cd numpy && PYTHON=python3 PIP=pip3 IN_CHROOT=1 $0 test"
elif [ -n "$USE_BENTO" ] && [ $# -eq 0 ]; then
setup_bento
# run again this time testing
$0 test
else
run_test
fi
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