Use miniconda for Travis build

cwrowley · cwrowley · commit e2b37ad29c45 · 2015-03-19T10:55:33.000-04:00
This dramatically speeds up the installation of numpy, scipy, and
matplotlib in the Travis build.  Note that python 3.2 is not available
in Anaconda, however.
diff --git a/.travis.yml b/.travis.yml
@@ -1,30 +1,30 @@
 language: python
 python:
-  - "2.7_with_system_site_packages"
-  - "3.2"
+  - "2.7"
   - "3.3"
+  - "3.4"
+
 # install required system libraries
 before_install:
   - export DISPLAY=:99.0
   - sh -e /etc/init.d/xvfb start
   - sudo apt-get update --fix-missing -qq
-  - sudo apt-get build-dep python-scipy -qq
-# command to install dependencies from source
-# note, separating requirements so that travis
-# will get output in less than 5 min and won't
-# terminate, using q to keep build info to a
-# minumum for dependencies
+  - sudo apt-get install gfortran liblapack-dev
+  # use miniconda to install numpy/scipy, to avoid lengthy build from source
+  - wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh
+  - chmod +x miniconda.sh
+  - ./miniconda.sh -b
+  - export PATH=/home/travis/miniconda/bin:$PATH
+  - conda update --yes conda
+  # The next couple lines fix a crash with multiprocessing on Travis and are not specific to using Miniconda
+  - sudo rm -rf /dev/shm
+  - sudo ln -s /run/shm /dev/shm
+
+# Install packages
 install:
-  - while [[ 1 ]]; do echo "building deps"; sleep 300; done &
-  - msg_pid=$!
-  - pip install -q coverage
-  - pip install -q coveralls
-  - pip install -q nose
-  - pip install -q numpy
-  - pip install -q scipy
-  - pip install -q slycot
-  - pip install -q matplotlib==1.3.1
-  - kill $msg_pid
+  - conda install --yes python=$TRAVIS_PYTHON_VERSION coverage nose numpy scipy matplotlib pip
+  - pip install coveralls
+  - pip install slycot
 
 # command to run tests
 script:
