.travis.yml

language: python
python:
  - "3.6"
env:
  - PYTORCH_VERSION="1.0.0" TORCHVISION_VERSION="0.2.2" TORCH=true
  - PYTORCH_VERSION="1.1.0" TORCHVISION_VERSION="0.3.0" TORCH=true
  - PYTORCH_VERSION="1.2.0" TORCHVISION_VERSION="0.4.0" TORCH=true
  - PYTORCH_VERSION="1.3.0" TORCHVISION_VERSION="0.4.1" TORCH=true
  - PYTORCH_VERSION="1.4.0" TORCHVISION_VERSION="0.5.0" TORCH=true
  - PYTORCH_VERSION="1.5.0" TORCHVISION_VERSION="0.6.0" TORCH=true
  - PYTORCH_VERSION="1.6.0" TORCHVISION_VERSION="0.7.0" TORCH=true
  - TF_VERSION="2.2" TF_IO_VERSION="0.13" TF=true

services:
  - docker

before_install:
  - mkdir /tmp/unittest
  - sudo chown -R $USER /tmp/unittest
  - docker pull minio/minio
  - docker run -it -d -p 9001:9000 --restart always -e "MINIO_ACCESS_KEY=minio" -e "MINIO_SECRET_KEY=miniosecretkey" -v /tmp/unittest:/container/vol minio/minio gateway nas /container/vol

# command to install dependencies
install:
  - pip install -U pip
  - pip install coverage
  - pip install -r requirements.txt
  - python setup.py install
  - if [[ $TORCH ]]; then
      pip install torch==${PYTORCH_VERSION};
      pip install torchvision==${TORCHVISION_VERSION};
    else
      pip install tensorflow==${TF_VERSION};
      pip install tensorflow_io==${TF_IO_VERSION};
    fi

script:
  - if [[ $TORCH ]]; then
      python -c "import torch; print('PyTorch Version:', torch.__version__)";
      python -c "import torchvision; print('TorchVision Version:', torchvision.__version__)";
    else
      python -c "import tensorflow as tf; print('Tensorflow Version:', tf.__version__)";
      python -c "import tensorflow_io as tfio; print('Tensorflow IO Version:', tfio.__version__)";
    fi
  - python setup.py install;
  - coverage run -m tests.test_suite;

after_success:
  - bash <(curl -s https://codecov.io/bash)