forked from TUW-GEO/rt1
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy path.travis.yml
More file actions
59 lines (50 loc) · 1.69 KB
/
.travis.yml
File metadata and controls
59 lines (50 loc) · 1.69 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
# the method for using conda within travis has been
# adapted from: https://conda.io/docs/travis.html
language: python
python:
# We don't actually use the Travis Python, but this keeps it organized.
- "3.6"
- "3.7"
# blocklist
branches:
except:
- rtread
install:
- sudo apt-get update
# We do this conditionally because it saves us some downloading if the
# version is the same.
- 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:$PATH"
- export PYTHONPATH="."
- hash -r
- conda config --set always_yes yes --set changeps1 no
- conda update -q conda
# Useful for debugging any issues with conda
- conda info -a
# nose must be installed explicitly to ensure that the virtual conda-environment is used within the tests
# (otherwise import-errors will occur for non-standard packages like scipy sympy and symengine)
- conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION matplotlib pytest pytest-cov numpy sympy scipy pandas
- source activate test-environment
- conda install -c conda-forge python-symengine
- conda install cloudpickle
- conda install pytables
- conda install -c conda-forge coveralls
script:
- pytest --cov=rt1
after_success:
- coveralls
deploy:
# automatically deploy a release from the master-branch on pypi
provider: pypi
user: "__token__"
password: $pypi_token
skip_existing: true
on:
branch: master
tags: true
after_deploy:
# test installation from pip
- conda create -q -n test-deploy-environment python=$TRAVIS_PYTHON_VERSION
- source activate test-deploy-environment
- pip install rt1