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| author | Tomas Kulhanek <tomas.kulhanek@stfc.ac.uk> | 2019-02-21 09:48:33 -0500 |
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| committer | Tomas Kulhanek <tomas.kulhanek@stfc.ac.uk> | 2019-02-21 09:48:33 -0500 |
| commit | c8a60f57df5a019b2b7295933dc0299d88f1e35c (patch) | |
| tree | dbc66b85b3c4201b65c712d0a2b6be6e0a095b54 /Readme.md | |
| parent | b9dc6d0b947a2287d6761e0b0a35525dd0fe7e7f (diff) | |
| download | regularization-c8a60f57df5a019b2b7295933dc0299d88f1e35c.tar.gz regularization-c8a60f57df5a019b2b7295933dc0299d88f1e35c.tar.bz2 regularization-c8a60f57df5a019b2b7295933dc0299d88f1e35c.tar.xz regularization-c8a60f57df5a019b2b7295933dc0299d88f1e35c.zip | |
ADD: instruction to build one variant
Diffstat (limited to 'Readme.md')
| -rw-r--r-- | Readme.md | 3 |
1 files changed, 2 insertions, 1 deletions
@@ -58,10 +58,11 @@ To install precompiled binaries, you need `conda` and install from `ccpi` channe conda install ccpi-regulariser -c ccpi -c conda-forge ``` -In order to compile C/C++ sources and additional wrappers from source code, the recommended way is: +In order to compile C/C++ sources and additional wrappers from source code for numpy 1.12 and python 3.6, the recommended way is: ``` git clone https://github.com/vais-ral/CCPi-Regularisation-Toolkit cd CCPi-Regularisation-Toolkit +export CCPI_BUILD_ARGS="--numpy 1.12 --python 3.6" build/jenkins-build.sh ``` this will install `conda build` environment and compiles C/C++ and Python wrappers and performs basic tests. |