# Display information about current conda install conda info # Install conda-build in the current env conda install -n root conda-build
Building Your Own Packages
You can easily build your own packages for conda, and upload them to anaconda.org, a free service for hosting packages for conda, as well as other package managers. To build a package, create a recipe. See http://github.com/conda/conda-recipes for many example recipes, and http://conda.pydata.org/docs/build.html for documentation on how to build recipes.
To upload to anaconda.org, create an account. Then, install the anaconda-client and login
$ conda install anaconda-client $ anaconda login
Then, after you build your recipe
$ conda build <recipe-dir>
you will be prompted to upload to anaconda.org.
To add your anaconda.org channel, or the channel of others to conda so that
install will find and install their packages, run
$ conda config --add channels https://conda.anaconda.org/username
username with the user name of the person whose channel you want
`OSError: [Errno 36] File name too long:`- This error has been seen on Linux computers with encrypted folders. The solution is to install miniconda or anaconda to a location that is not encrypted. This error occurs because the encrypted form of the path that conda-build creates can be too long.
Contributions to conda-build are always welcome! Please fork the conda/conda-build repository, and submit a PR. If a PR is a work in progress, please put [WIP] in the title. Contributions are expected to pass flake8 and test suites run on Travis CI (linux) and AppVeyor (windows). Contributors also need to have signed our Contributor License Agreement
Running our test suite requires cloning one other repo at the same level as conda-build: https://github.com/conda/conda_build_test_recipe - this is necessary for relative path tests outside of conda build's build tree.
Additionally, you need to install a few extra packages:
conda install pytest pytest-cov mock
The test suite runs with py.test. Some useful commands to run select tests, assuming you are in the conda-build root folder:
Run all tests:
Run one test function:
Run one parameter of one parametrized test function:
Several tests are parametrized, to run some small change, or build several recipe folders. To choose only one of them:
Note that our tests use py.test fixtures extensively. These sometimes trip up IDE style checkers about unused or redefined variables. These warnings are safe to ignore.