forked from mne-tools/mne-python
-
Notifications
You must be signed in to change notification settings - Fork 0
/
.travis.yml
177 lines (166 loc) · 7.01 KB
/
.travis.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
language: c
dist: trusty
sudo: false
cache:
apt: true
pip: true
env:
# TRAVIS_PYTHON_VERSION is only needed for neo's setup.py
global: PYTHON_VERSION=3.6 DISPLAY=:99.0 MNE_LOGGING_LEVEL=warning TEST_LOCATION=src
PIP_DEPENDENCIES="codecov pytest-faulthandler pytest-sugar" OPTION=""
TRAVIS_PYTHON_VERSION=3.6 CONDA_VERSION=">=4.3.27"
matrix:
include:
# No data + style testing
- os: linux
env: DEPS=nodata MNE_DONTWRITE_HOME=true MNE_FORCE_SERIAL=true MNE_SKIP_NETWORK_TEST=1
CONDA_DEPENDENCIES="numpy scipy matplotlib sphinx pytest pytest-cov"
PIP_DEPENDENCIES="flake8 numpydoc codespell git+git://github.com/PyCQA/pydocstyle.git codecov check-manifest pytest-sugar"
OPTION="--doctest-ignore-import-errors"
# Linux
- os: linux
env: CONDA_ENVIRONMENT="environment.yml"
# OSX conda
- os: osx
env: CONDA_ENVIRONMENT="environment.yml"
# PIP + non-default stim channel
# OPENBLAS_NUM_THREADS=1 avoid slowdowns:
# https://github.com/xianyi/OpenBLAS/issues/731
- os: linux
env: MNE_STIM_CHANNEL=STI101
OPENBLAS_NUM_THREADS=1
language: python
python: "3.6"
# 2.7 Old dependencies
- os: linux
env: PYTHON_VERSION=2.7
CONDA_DEPENDENCIES="numpy=1.8 scipy=0.12 matplotlib=1.3 pandas=0.13 scikit-learn=0.15 pytest pytest-cov"
# Minimal
- os: linux
env: DEPS=minimial
CONDA_DEPENDENCIES="numpy scipy matplotlib pytest pytest-cov"
# Setup anaconda
before_install:
- if [ "${TRAVIS_OS_NAME}" == "linux" ]; then
/sbin/start-stop-daemon --start --quiet --pidfile /tmp/custom_xvfb_99.pid --make-pidfile --background --exec /usr/bin/Xvfb -- :99 -screen 0 1400x900x24 -ac +extension GLX +render -noreset;
fi;
- if [ -z "$CONDA_ENVIRONMENT" ] && [ -z "$CONDA_DEPENDENCIES" ]; then
pip uninstall -y numpy;
pip install numpy scipy vtk;
pip install -r requirements.txt;
else
git clone https://github.com/astropy/ci-helpers.git;
source ci-helpers/travis/setup_conda.sh;
if [ ! -z "$CONDA_ENVIRONMENT" ]; then
pip uninstall --yes mne;
fi;
if [ "${TRAVIS_OS_NAME}" == "osx" ]; then
pip install --upgrade pyqt5>=5.10;
fi;
fi
# Don't source mne_setup_sh here because changing PATH etc. can't be done in a script
- if [ "${DEPS}" == "" ]; then
export MNE_ROOT="${PWD}/minimal_cmds";
export PATH=${MNE_ROOT}/bin:$PATH;
if [ "${TRAVIS_OS_NAME}" == "linux" ]; then
curl https://staff.washington.edu/larsoner/minimal_cmds.tar.gz | tar xz;
export LD_LIBRARY_PATH=${MNE_ROOT}/lib:$LD_LIBRARY_PATH;
export NEUROMAG2FT_ROOT="${PWD}/minimal_cmds/bin";
else
curl https://staff.washington.edu/larsoner/minimal_cmds_osx.tar.gz | tar xz;
export DYLD_LIBRARY_PATH=${MNE_ROOT}/lib:$DYLD_LIBRARY_PATH;
fi;
mne_surf2bem --version;
fi;
install:
# Rvm overrides cd with a function so that it can hook into it to run
# some scripts, see https://github.com/travis-ci/travis-ci/issues/8703
- if [ "${TRAVIS_OS_NAME}" == "osx" ]; then
unset -f cd;
fi;
# Suppress the parallel outputs for logging cleanliness
- python setup.py build
- python setup.py install
- python -c "import mne; mne.sys_info()"
- SRC_DIR=$(pwd)
- cd ~
# Trigger download of testing data. Note that
# the testing dataset has been constructed to contain the necessary
# files to act as a FREESURFER_HOME for the coreg tests
- if [ "${DEPS}" != "nodata" ]; then
python -c 'import mne; mne.datasets.testing.data_path(verbose=True)';
ls -al $HOME/mne_data/;
ls -al $HOME/mne_data/MNE-testing-data/;
ls -al $HOME/mne_data/MNE-testing-data/MEG/;
ls -al $HOME/mne_data/MNE-testing-data/MEG/sample/;
if [ "${DEPS}" == "" ] && [ "${TRAVIS_OS_NAME}" == "linux" ]; then
export FREESURFER_HOME=$(python -c 'import mne; print(mne.datasets.testing.data_path())');
export MNE_SKIP_FS_FLASH_CALL=1;
fi;
else
export MNE_SKIP_TESTING_DATASET_TESTS=true;
fi;
- MNE_DIR=$(python -c 'import mne;print(mne.__path__[0])')
# We run two versions: one out of the source directory (that makes
# coveralls coverage work), and one out of the install directory (that
# ensures we have included all necessary files).
- if [ "${TEST_LOCATION}" == "install" ]; then
ln -s ${SRC_DIR}/mne/io/tests/data ${MNE_DIR}/io/tests/data;
ln -s ${SRC_DIR}/mne/io/bti/tests/data ${MNE_DIR}/io/bti/tests/data;
ln -s ${SRC_DIR}/mne/io/edf/tests/data ${MNE_DIR}/io/edf/tests/data;
ln -s ${SRC_DIR}/mne/io/kit/tests/data ${MNE_DIR}/io/kit/tests/data;
ln -s ${SRC_DIR}/mne/io/brainvision/tests/data ${MNE_DIR}/io/brainvision/tests/data;
ln -s ${SRC_DIR}/mne/io/egi/tests/data ${MNE_DIR}/io/egi/tests/data;
ln -s ${SRC_DIR}/mne/io/nicolet/tests/data ${MNE_DIR}/io/nicolet/tests/data;
ln -s ${SRC_DIR}/mne/preprocessing/tests/data ${MNE_DIR}/preprocessing/tests/data;
ln -s ${SRC_DIR}/setup.cfg ${MNE_DIR}/../setup.cfg;
ln -s ${SRC_DIR}/.coveragerc ${MNE_DIR}/../.coveragerc;
cd ${MNE_DIR}/../;
COVERAGE=;
else
cd ${SRC_DIR};
COVERAGE=--with-coverage;
fi;
script:
- echo "Print locale "
- locale
- echo "Other stuff"
# OSX runs ~2x slower than Linux on Travis, so skip any slow ones there
- if [ "${TRAVIS_OS_NAME}" == "osx" ]; then
CONDITION='not slowtest';
else
CONDITION='not ultraslowtest';
fi;
- python -c "import mne; print(mne.sys_info())"
# Determine directories to test (could use SPLIT=0 SPLIT=1 but currently
# we are fast enough, so disable it)
- if [ -z ${SPLIT} ]; then
USE_DIRS="mne/";
else
if [ "${SPLIT}" == "0" ]; then
MNE_DIRS=". beamformer channels commands connectivity datasets decoding forward gui inverse_sparse io";
elif [ "${SPLIT}" == "1" ]; then
MNE_DIRS="minimum_norm preprocessing realtime simulation stats time_frequency viz";
elif [ "${SPLIT}" == "2" ]; then
MNE_DIRS=".";
else
MNE_DIRS="beamformer channels commands connectivity datasets decoding forward gui inverse_sparse io";
fi;
USE_DIRS="";
for DIR in ${MNE_DIRS}; do
if [ "${DIR}" == "." ]; then
USE_DIRS="mne/tests mne/*.py ${USE_DIRS}";
else
USE_DIRS="mne/${DIR}/ ${USE_DIRS}";
fi;
done;
fi;
- echo py.test -m "${CONDITION}" ${OPTION} ${USE_DIRS} --cov=mne;
- py.test -m "${CONDITION}" ${OPTION} ${USE_DIRS} --cov=mne;
- if [ "${DEPS}" == "nodata" ]; then
make pep;
fi;
after_script:
# Need to run from source dir to exectue "git" commands
- cd ${SRC_DIR};
- codecov;