Swaps from the requirements / pip / conda mix to just conda env.

only:

  - master

python:

  - "3.5"

before_install:

# We manually install Python via conda, so omit python 3.5 from here.

install:

  # We do this conditionally because it saves us some downloading if the

  # Useful for debugging any issues with conda

  - conda info -a

  # Create a virtual env and install dependencies

  - conda create -y -q -n test-env python=$TRAVIS_PYTHON_VERSION nose numpy pillow scipy pandas networkx scikit-image sqlalchemy numexpr dill cython pyyaml

  # Activate the env

  - source activate test-env

  # Install the non-conda packages if required, requirements.txt duplicates are ignored

  - conda install -c https://conda.anaconda.org/jlaura opencv3=3.0.0

  - conda config --add channels conda-forge

  - conda install -c https://conda.anaconda.org/conda-forge gdal h5py

  - pip install -r requirements.txt

  - pip install coverage

  # Create autocnet env

  - conda create env

  - source activate autocnet

  # Development installation

  - conda install nose coverage

  - pip install coveralls

script:

name: autocnet

channels:

  - conda-forge

  - jlaura

dependencies:

  - jlaura:

    - opencv3=3.0.0

  - conda-forge:

    - gdal>1.11.2

    - h5py

  - pip:

    - pvl

    - pysal

    - protobuf

  - cython

  - dill

  - networkx

  - numexpr

  - numpy>1.10.0

  - pandas

  - pillow

  - pyaml

  - scipy>1.17.0

  - sqlalchemy