mik*_*eck 8 python r travis-ci
我一直在研究一个R包,它通过简单的服务器脚本和套接字连接与Python连接.我可以在我自己的机器上测试,但我也想在Travis构建上测试它(我不想完成设置Linux VM的工作).要做到这一点,我需要一个Python安装,我可以在我的R包测试中传递路径,以及要使用的端口号.
我已经看到这个答案,建议安装多个Python构建是可能的,但我不知道如何处理
是否有可能在特拉维斯做我想做的事情?如果我想与特拉维斯做到这一点?
编辑这是我的Travis配置:
language: r
r:
- release
- devel
cache: packages
sudo: false
matrix:
include:
- python:2.7
- python:3.6
# Be strict when checking our package
warnings_are_errors: true
# System dependencies for HTTP calling
r_binary_packages:
- jsonlite
- R6
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以下是我的R包中的示例:
pypath = Sys.which('python')
if(nchar(pypath) > 0) {
py = PythonEnv$new(port = 6011, path = pypath)
py$start
py$running
py$set(a = 5)
py$get('a')
py$stop
} else {
message("No Python environment available")
}
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我的例子肯定找到了一条 Python路径,但是因错误而失败
socketConnection中的警告(port = self $ port,open ="r +",blocking = TRUE,:localhost:6011无法打开
错误socketConnection(port = self $ port,open ="r +",blocking = TRUE,:
无法打开连接
我用另一个端口测试了这个,发生了同样的错误.
编辑2
我也尝试过主机127.0.0.1,0.0.0.0但没有骰子.根据Travis的文档,这应该有用......也许是R容器的一个问题?
这是我用于 Pyle 包的 travis.yml。它只是使用 ubuntu 包管理器安装 R:
language: python
python:
- "3.6"
install:
- pip install cython pytest hypothesis
- sudo apt-get install -y r-base
- echo 'source("https://bioconductor.org/biocLite.R"); biocLite("S4Vectors"); biocLite("GenomicRanges")' > install.R
- python setup.py install
script:
- py.test tests/
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另一种方法是通过 conda 安装 R。这是 pyranges 包中的示例:
# Stolen from http://conda.pydata.org/docs/travis.html
language: python
python:
# We don't actually use the Travis Python, but this keeps it organized.
- "3.6"
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:$PATH"
- hash -r
- conda config --set always_yes yes --set changeps1 no
- conda update -q conda
- conda config --add channels bioconda
- conda config --add channels r
# Useful for debugging any issues with conda
- conda info -a
- conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION numpy scipy pandas pytest pytest-cov cython tabulate hypothesis bedtools # ray
- source activate test-environment
- python setup.py install # will install ncls
- python --version
- python -c 'import pandas as pd; print(pd.__version__)'
- ls tests
script: py.test -v tests # verbose to see that tests run and so that travis does not time out on hypothesis tests
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