Ci

.landscape.yaml

@@ -0,0 +1,7 @@
+doc-warnings: yes
+test-warnings: yes
+strictness: veryhigh
+max-line-length: 80
+autodetect: yes
+ignore-paths:
+    - doc

.travis.yml

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+language: python
+virtualenv:
+  system_site_packages: true
+env:
+  matrix:
+    - DISTRIB="conda" PYTHON_VERSION="2.7" INSTALL_MKL="false"
+      COVERAGE="true" NUMPY_VERSION="1.6.2" SCIPY_VERSION="0.11.0"
+    # 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"
+    # This environment tests the newest supported anaconda env
+    - DISTRIB="conda" PYTHON_VERSION="3.4" INSTALL_MKL="true"
+      NUMPY_VERSION="1.8.1" SCIPY_VERSION="0.14.0"
+install: source continuous_integration/install.sh
+script: bash continuous_integration/test_script.sh
+after_success:
+    # Ignore coveralls failures as the coveralls server is not very reliable
+    # but we don't want travis to report a failure in the github UI just
+    # because the coverage report failed to be published.
+    - if [[ "$COVERAGE" == "true" ]]; then coveralls || echo "failed"; fi
+cache: apt

README.rst

@@ -1,6 +1,19 @@
 Random output trees
 ===================
 
+.. image:: https://secure.travis-ci.org/arjoly/andom-output-trees.png?branch=master
+   :target: https://secure.travis-ci.org/arjoly/random-output-trees
+   :alt: Build status
+
+.. image:: https://coveralls.io/repos/arjoly/andom-output-trees/badge.png?branch=master
+   :target: https://coveralls.io/r/arjoly/random-output-trees
+   :alt: Coverage status
+
+.. image:: https://landscape.io/github/arjoly/random-output-trees/master/landscape.svg
+   :target: https://landscape.io/github/arjoly/random-output-trees/master
+   :alt: Code Health
+
+
 Random output trees is a python package to grow decision tree ensemble on
 randomized output space. The core tree implementation is based on scikit-learn
 0.15.2. All provided estimators and transformers are scikit-learn compatible.

continuous_integration/install.sh

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+#!/bin/bash
+# This script is meant to be called by the "install" step defined in
+# .travis.yml. See http://docs.travis-ci.com/ for more details.
+# The behavior of the script is controlled by environment variabled defined
+# in the .travis.yml in the top level folder of the project.
+
+# License: 3-clause BSD
+
+# This file is originally from the scikit-learn project
+
+set -e
+
+# Fix the compilers to workaround avoid having the Python 3.4 build
+# lookup for g++44 unexpectedly.
+export CC=gcc
+export CXX=g++
+
+sudo apt-get update -qq
+if [[ "$INSTALL_ATLAS" == "true" ]]; then
+    sudo apt-get install -qq libatlas3gf-base libatlas-dev
+fi
+
+if [[ "$DISTRIB" == "conda" ]]; then
+    # Deactivate the travis-provided virtual environment and setup a
+    # conda-based environment instead
+    deactivate
+
+    # Use the miniconda installer for faster download / install of conda
+    # itself
+    wget http://repo.continuum.io/miniconda/Miniconda-3.6.0-Linux-x86_64.sh \
+        -O miniconda.sh
+    chmod +x miniconda.sh && ./miniconda.sh -b
+    export PATH=/home/travis/miniconda/bin:$PATH
+    conda update --yes conda
+
+    # Configure the conda environment and put it in the path using the
+    # provided versions
+    conda create -n testenv --yes python=$PYTHON_VERSION pip nose \
+        numpy=$NUMPY_VERSION scipy=$SCIPY_VERSION
+    source activate testenv
+
+    if [[ "$INSTALL_MKL" == "true" ]]; then
+        # Make sure that MKL is used
+        conda install --yes mkl
+    else
+        # Make sure that MKL is not used
+        conda remove --yes --features mkl || echo "MKL not installed"
+    fi
+
+elif [[ "$DISTRIB" == "ubuntu" ]]; then
+    # Use standard ubuntu packages in their default version
+    sudo apt-get install -qq python-scipy python-nose python-pip
+fi
+
+if [[ "$COVERAGE" == "true" ]]; then
+    pip install coverage coveralls
+fi
+
+pip install scikit-learn
+
+
+python --version
+python -c "import numpy; print('numpy %s' % numpy.__version__)"
+python -c "import scipy; print('scipy %s' % scipy.__version__)"
+python -c "import sklearn; print('sklearn %s' % sklearn.__version__)"
+python setup.py build_ext --inplace

continuous_integration/test_script.sh

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+#!/bin/bash
+# This script is meant to be called by the "script" step defined in
+# .travis.yml. See http://docs.travis-ci.com/ for more details.
+# The behavior of the script is controlled by environment variabled defined
+# in the .travis.yml in the top level folder of the project.
+
+# License: 3-clause BSD
+
+# This file is originally from the scikit-learn project
+
+set -e
+
+python --version
+python -c "import numpy; print('numpy %s' % numpy.__version__)"
+python -c "import scipy; print('scipy %s' % scipy.__version__)"
+python -c "import sklearn; print('sklearn %s' % sklearn.__version__)"
+
+# Do not use "make test" or "make test-coverage" as they enable verbose mode
+# which renders travis output too slow to display in a browser.
+if [[ "$COVERAGE" == "true" ]]; then
+    nosetests -s --with-coverage random_output_trees
+else
+    nosetests -s random_output_trees
+fi
+