version: 2
jobs:
    run_tests_torch_and_tf:
        working_directory: ~/transformers
        docker:
            - image: circleci/python:3.6
        environment:
            OMP_NUM_THREADS: 1
        resource_class: xlarge
        parallelism: 1
        steps:
            - checkout
            - run: sudo pip install --upgrade pip
            - run: sudo pip install .[sklearn,tf-cpu,torch,testing] --no-cache-dir
            - run: sudo pip install codecov pytest-cov
            - run: python -m pytest -n 8 --dist=loadfile -s ./tests/ --cov  | tee output.txt
            - run: codecov
            - store_artifacts:
                  path: ~/transformers/output.txt
                  destination: test_output.txt
    run_tests_torch:
        working_directory: ~/transformers
        docker:
            - image: circleci/python:3.7
        environment:
            OMP_NUM_THREADS: 1
        resource_class: xlarge
        parallelism: 1
        steps:
            - checkout
            - run: sudo pip install --upgrade pip
            - run: sudo pip install .[sklearn,torch,testing] --no-cache-dir
            - run: python -m pytest -n 8 --dist=loadfile -s ./tests/ | tee output.txt
            - store_artifacts:
                  path: ~/transformers/output.txt
                  destination: test_output.txt

    run_tests_tf:
        working_directory: ~/transformers
        docker:
            - image: circleci/python:3.7
        environment:
            OMP_NUM_THREADS: 1
        resource_class: xlarge
        parallelism: 1
        steps:
            - checkout
            - run: sudo pip install --upgrade pip
            - run: sudo pip install .[sklearn,tf-cpu,testing] --no-cache-dir
            - run: python -m pytest -n 8 --dist=loadfile -s ./tests/ | tee output.txt
            - store_artifacts:
               path: ~/transformers/output.txt
               destination: test_output.txt
    run_tests_custom_tokenizers:
        working_directory: ~/transformers
        docker:
            - image: circleci/python:3.6
        environment:
            RUN_CUSTOM_TOKENIZERS: yes
        steps:
            - checkout
            - run: sudo pip install --upgrade pip
            - run: sudo pip install .[ja,testing]
            - run: python -m pytest -s ./tests/test_tokenization_bert_japanese.py | tee output.txt
            - store_artifacts:
                path: ~/transformers/output.txt
                destination: test_output.txt
    run_examples_torch:
        working_directory: ~/transformers
        docker:
            - image: circleci/python:3.6
        environment:
            OMP_NUM_THREADS: 1
        resource_class: xlarge
        parallelism: 1
        steps:
            - checkout
            - run: sudo pip install --upgrade pip
            - run: sudo pip install .[sklearn,torch,testing] --no-cache-dir
            - run: sudo pip install -r examples/requirements.txt
            - run: python -m pytest -n 8 --dist=loadfile -rA -s ./examples/ | tee output.txt
            - store_artifacts:
                  path: ~/transformers/output.txt
                  destination: test_output.txt
    build_doc:
        working_directory: ~/transformers
        docker:
            - image: circleci/python:3.6
        steps:
            - checkout
            - run: sudo pip install --upgrade pip
            - run: sudo pip install .[tf,torch,docs] --no-cache-dir
            - run: cd docs && make html SPHINXOPTS="-W"
            - store_artifacts:
                path: ./docs/_build
    deploy_doc:
        working_directory: ~/transformers
        docker:
            - image: circleci/python:3.6
        steps:
            - add_ssh_keys:
                fingerprints:
                    - "5b:7a:95:18:07:8c:aa:76:4c:60:35:88:ad:60:56:71"
            - checkout
            - run: sudo pip install .[tf,torch,docs] --no-cache-dir
            - run: ./.circleci/deploy.sh
    check_code_quality:
        working_directory: ~/transformers
        docker:
            - image: circleci/python:3.6
        resource_class: medium
        parallelism: 1
        steps:
            - checkout
            - run: sudo pip install --upgrade pip
            # we need a version of isort with https://github.com/timothycrosley/isort/pull/1000
            - run: sudo pip install git+git://github.com/timothycrosley/isort.git@e63ae06ec7d70b06df9e528357650281a3d3ec22#egg=isort
            - run: sudo pip install .[tf,torch,quality] --no-cache-dir
            - run: black --check --line-length 119 --target-version py35 examples templates tests src utils
            - run: isort --check-only --recursive examples templates tests src utils
            - run: flake8 examples templates tests src utils
    check_repository_consistency:
        working_directory: ~/transformers
        docker:
            - image: circleci/python:3.6
        resource_class: small
        parallelism: 1
        steps:
            - checkout
            - run: sudo pip install requests
            - run: python ./utils/link_tester.py
workflow_filters: &workflow_filters
    filters:
        branches:
            only:
                - master
workflows:
    version: 2
    build_and_test:
        jobs:
            - check_code_quality
            - check_repository_consistency
            - run_examples_torch
            - run_tests_custom_tokenizers
            - run_tests_torch_and_tf
            - run_tests_torch
            - run_tests_tf
            - build_doc
            - deploy_doc: *workflow_filters
