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https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA014
Title Building and Packaging EPICS Modules With Conda
Authors
  • B. Bertrand, A. Harrisson
    ESS, Lund, Sweden
Abstract Conda is an open source package, dependency and environment management system. It runs on Windows, macOS and Linux and can package and distribute software for any language (Python, R, Ruby, C/C++…). It allows one to build a software in a clean and repeatable way. EPICS is made of many different modules that need to be compiled together. Conda makes it easy to define and track dependencies between EPICS base and the different modules (and their versions). Anaconda’s new compilers allow conda to build binaries that can run on any modern linux distribution (x86₆4). Not relying on any specific OS packages removes issues that can arise when upgrading the OS. At ESS, conda packages are built using gitlab-ci and pushed to a local channel on our Artifactory server. Using conda makes it easy for the users to install the EPICS modules they want, where they want (locally on a machine, in a docker container for testing…). All dependencies and requirements are handled by conda. Conda environments make it possible to work on different versions on the same machine without any conflict.
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Conference ICALEPCS2019
Series International Conference on Accelerator and Large Experimental Physics Control Systems (17th)
Location New York, NY, USA
Date 05-11 October 2019
Publisher JACoW Publishing, Geneva, Switzerland
Editorial Board Karen S. White (ORNL, Oak Ridge, TN, USA); Kevin A. Brown (BNL, Upton, NY, USA); Philip S. Dyer (BNL, Upton, NY, USA); Volker RW Schaa (GSI, Darmstadt, Germany)
Online ISBN 978-3-95450-209-7
Online ISSN 2226-0358
Received 27 September 2019
Accepted 08 October 2019
Issue Date 30 August 2020
DOI doi:10.18429/JACoW-ICALEPCS2019-MOPHA014
Pages 223-227
Copyright
Creative Commons CC logoPublished by JACoW Publishing under the terms of the Creative Commons Attribution 3.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI.