forked from scikit-learn/scikit-learn
-
Notifications
You must be signed in to change notification settings - Fork 0
/
.travis.yml
76 lines (69 loc) · 2.81 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
# make it explicit that we favor the new container-based travis workers
sudo: false
language: python
# Pre-install packages for the ubuntu distribution
cache:
apt: true
# We use three different cache directory
# to work around a Travis bug with multi-platform cache
directories:
- $HOME/sklearn_build_ubuntu
- $HOME/sklearn_build_oldest
- $HOME/sklearn_build_latest
- $HOME/sklearn_build_numpy_dev
- $HOME/.cache/pip
- $HOME/download
addons:
apt:
packages:
- libatlas3gf-base
- libatlas-dev
# only required by the DISTRIB="ubuntu" build:
- python-scipy
env:
global:
# Directory where tests are run from
- TEST_DIR=/tmp/sklearn
- OMP_NUM_THREADS=4
- OPENBLAS_NUM_THREADS=4
matrix:
# This environment tests that scikit-learn can be built against
# versions of numpy, scipy with ATLAS that comes with Ubuntu Precise 12.04
- DISTRIB="ubuntu" PYTHON_VERSION="2.7" CYTHON_VERSION="0.23.4"
CACHED_BUILD_DIR="$HOME/sklearn_build_ubuntu" COVERAGE=true
# This environment tests the oldest supported anaconda env
- DISTRIB="conda" PYTHON_VERSION="2.6" INSTALL_MKL="false"
NUMPY_VERSION="1.6.2" SCIPY_VERSION="0.11.0" CYTHON_VERSION="0.21"
CACHED_BUILD_DIR="$HOME/sklearn_build_oldest"
# This environment tests the newest supported anaconda env
- DISTRIB="conda" PYTHON_VERSION="3.5" INSTALL_MKL="false"
NUMPY_VERSION="1.10.4" SCIPY_VERSION="0.17.0" CYTHON_VERSION="0.23.4"
CACHED_BUILD_DIR="$HOME/sklearn_build_latest"
matrix:
allow_failures:
# allow_failures seems to be keyed on the python version
# We are using this to allow failures for DISTRIB=scipy-dev-wheels
- python: 3.5
include:
# This environment tests scikit-learn against numpy and scipy master
# installed from their CI wheels in a virtualenv with the Python
# interpreter provided by travis.
# Note: libatlas3gf-base is not allowed yet so we need 'sudo':
# https://github.com/travis-ci/apt-package-whitelist/issues/2407
# Once libatlas3gf-base is on the whitelist it will be possible to replace
# the before_install step with and addons/apt/packages declaration.
- python: 3.5
env: DISTRIB="scipy-dev-wheels"
CACHED_BUILD_DIR="$HOME/sklearn_build_numpy_dev"
sudo: True
before_install: sudo apt-get install -yqq libatlas3gf-base libatlas-dev
install: source build_tools/travis/install.sh
script: bash build_tools/travis/test_script.sh
after_success: source build_tools/travis/after_success.sh
notifications:
webhooks:
urls:
- https://webhooks.gitter.im/e/4ffabb4df010b70cd624
on_success: change # options: [always|never|change] default: always
on_failure: always # options: [always|never|change] default: always
on_start: never # options: [always|never|change] default: always