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language: python
branches:
# prevent bors temporary branches to be built
except:
- staging.tmp
- trying.tmp
env:
# This project adheres to NEP-29
# https://numpy.org/neps/nep-0029-deprecation_policy.html
# Refer to https://docs.scipy.org/doc/numpy/release.html for
# min/max Python version supported by numpy
# Refer to history of https://github.com/lebigot/uncertainties/blob/master/setup.py
# for min/max Python versions supported by uncertainties
- PKGS="python=3.8 pre-commit"
# Pinned packages to match readthedocs CI https://readthedocs.org/projects/pint/
- PKGS="python=3.7 ipython matplotlib nbsphinx numpy pandas==1.1.3 jupyter_client ipykernel python-graphviz graphviz xarray sparse dask[complete] sphinx Pygments==2.3.1 docutils==0.14 alabaster commonmark==0.8.1 recommonmark==0.5.0 babel==2.8"
- PKGS="python=3.6"
- PKGS="python=3.7"
- PKGS="python=3.8"
- PKGS="python=3.6 uncertainties=3.0"
- PKGS="python=3.7 uncertainties=3.0"
- PKGS="python=3.6 numpy=1.14 matplotlib"
- PKGS="python=3.7 numpy=1.14 matplotlib"
- PKGS="python=3.8 numpy=1.17 matplotlib"
- PKGS="python=3.6 numpy=1.14 uncertainties=3.0"
- PKGS="python=3.7 numpy=1.14 uncertainties=3.0"
- PKGS="python=3.6 numpy uncertainties"
- PKGS="python=3.7 numpy uncertainties"
- PKGS="python=3.8 numpy uncertainties"
- PKGS="python=3.8 numpy uncertainties sparse xarray netCDF4"
# TODO: pandas tests
# - PKGS="python=3.7 numpy pandas uncertainties pandas"
before_install:
- sudo apt-get update
- wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
- bash miniconda.sh -b -p $HOME/miniconda
- export PATH="$HOME/miniconda/bin:$PATH"
- hash -r
- conda config --set always_yes yes --set changeps1 no
- conda config --add channels conda-forge
- conda update -q conda
# Useful for debugging any issues with conda
- conda info -a
# The next couple lines fix a crash with multiprocessing on Travis and are not specific to using Miniconda
# But broke travis 2019-08
# - sudo rm -rf /dev/shm
# - sudo ln -s /run/shm /dev/shm
- export TEST_OPTS="-rfsxEX -s --cov=pint --cov-config=.coveragerc"
install:
- conda create -n travis $PKGS pytest pytest-cov coveralls pytest-subtests
- source activate travis
- if [[ $PKGS =~ pandas ]]; then PANDAS=1; else PANDAS=0; fi
- if [[ $PKGS =~ pre-commit ]]; then LINT=1; else LINT=0; fi
- if [[ $PKGS =~ sphinx ]]; then DOCS=1; else DOCS=0; fi
- if [[ $PKGS =~ matplotlib && $DOCS == 0 ]]; then pip install pytest-mpl; export TEST_OPTS="$TEST_OPTS --mpl"; fi
- if [[ $DOCS == 1 ]]; then pip install pint-pandas; fi
# this is superslow but suck it up until updates to pandas are made
# - if [[ $PANDAS == '1' ]]; then pip install numpy cython pytest pytest-cov nbval; pip install git+https://github.com/pandas-dev/pandas.git@bdb7a1603f1e0948ca0cab011987f616e7296167; python -c 'import pandas; print(pandas.__version__)'; fi
- conda list
- pip install .
script:
# if we're doing the pandas tests and hence have pytest available, we can
# simply use it to run all the tests
# - if [[ $PANDAS == '1' ]]; then python -bb -m coverage run -p --source=pint --omit="*test*","*compat*" -m py.test -rfsxEX; fi
# test notebooks too if pandas available
# - if [[ $PANDAS == '1' ]]; then pip install -e .; pytest --nbval notebooks/*; fi
- if [[ $PANDAS == 0 && $LINT == 0 && $DOCS == 0 ]]; then python -bb -m pytest $TEST_OPTS; fi
- if [[ $LINT == 1 ]]; then pre-commit run --all-files; fi
- if [[ $DOCS == 1 ]]; then PYTHONPATH=$PWD sphinx-build -n -j auto -b html -d build/doctrees docs build/html; fi
- if [[ $DOCS == 1 ]]; then PYTHONPATH=$PWD sphinx-build -a -j auto -b doctest -d build/doctrees docs build/doctest; fi
- if [[ $LINT == 0 && $DOCS == 0 ]]; then coverage report -m; fi
after_success:
- coveralls --verbose
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