CI install numpy and scipy manually again

.travis.yml

@@ -19,6 +19,10 @@ addons:
     packages:
     - gcc-4.8
     - g++-4.8
+    - libatlas-dev
+    - liblapack-dev
+    - libatlas-base-dev
+    - gfortran
 
 env:
   global:

ci_scripts/install.sh

@@ -24,10 +24,13 @@ popd
 
 # Configure the conda environment and put it in the path using the
 # provided versions
-conda create -n testenv --yes python=$PYTHON_VERSION pip nose \
-   numpy=$NUMPY_VERSION scipy=$SCIPY_VERSION cython
+conda create -n testenv --yes python=$PYTHON_VERSION pip nose cython
 source activate testenv
 
+# First install exact numpy and scipy version from pip
+pip install numpy==1.9.3
+pip install scipy==0.15.1
+
 # Install requirements in correct order
 cat requ.txt | xargs -n 1 -L 1 pip install
 

circle.yml

@@ -17,6 +17,12 @@ dependencies:
 
   # Various dependencies
   pre:
+    # From https://circleci.com/docs/environment#build-toolchain
+    - sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.6 10
+    - sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.6 10
+    - sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 20
+    - sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.9 20
+    # from scikit-learn contrib
     - sudo -E apt-get -yq remove texlive-binaries --purge
     - sudo apt-get update
     - sudo apt-get install libatlas-dev libatlas3gf-base
@@ -29,8 +35,6 @@ dependencies:
     - sudo -E apt-get -yq update
     - sudo -E apt-get -yq --no-install-suggests --no-install-recommends --force-yes install dvipng texlive-latex-base texlive-latex-extra
     # Installing packages to build the random forest
-    - sudo -E apt-get -yq --no-install-suggests --no-install-recommends --force-yes install gcc-4.8 g++-4.8
-    - export CXX="g++-4.8" CC="gcc-4.8"
     # finally install the requirements of the package to allow autodoc
     - pip install -r requ.txt