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| author | Serban Udrea <S.Udrea@gsi.de> | 2016-08-26 07:10:35 +0700 |
|---|---|---|
| committer | David Spencer <idlemoor@slackbuilds.org> | 2016-08-28 00:22:40 +0100 |
| commit | b87bb0c167cd8b88c5ee5f74ec655863959bdb3e (patch) | |
| tree | 8bd9a107b4d92d076f9fa85e8a2fd3433e3f2f48 /development/numpy/README.ATLAS | |
| parent | 67a6cce83629f571e4b7bbb5b2f4d9386d66bd77 (diff) | |
development/numpy: Updated for version 1.11.1.
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'development/numpy/README.ATLAS')
| -rw-r--r-- | development/numpy/README.ATLAS | 10 |
1 files changed, 10 insertions, 0 deletions
diff --git a/development/numpy/README.ATLAS b/development/numpy/README.ATLAS new file mode 100644 index 0000000000000..bf8972befa816 --- /dev/null +++ b/development/numpy/README.ATLAS @@ -0,0 +1,10 @@ +numpy is able to autodetect the ATLAS libraries, but by default will try +to use the shared, threaded ones. It would use something else just if these +are missing. You may force numpy to have another behaviour. + +a) Set just ATLAS_NO_THREADS to "yes". In this case numpy will be forced to + look for the shared, single threaded libs. +b) Set just ATLAS_SHARED to "no". In this case numpy will be forced to look for + the static, threaded ATLAS libraries. +c) Set ATLAS_SHARED to "no" and ATLAS_NO_THREADS to "yes". In this case numpy + will be forced to look for the static, single threaded ATLAS libraries. |