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fold_slice/+utils/identify_system.m
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% Identify the current system to set useful default parameter values in
% default_parameter_value.m.
% A modified version of both macros at the beginning of the Matlab search
% path may be used to define local standard parameters.
% Filename: $RCSfile: identify_system.m,v $
%
% $Revision: 1.3 $ $Date: 2010/07/22 15:08:21 $
% $Author: $
% $Tag: $
%
% Description:
% Identify the current system to set useful default parameter values in
% default_parameter_value.m.
% A modified version of both macros at the beginning of the Matlab search
% path may be used to define local standard parameters.
%
% Note:
% none
%
% Dependencies:
% none
%
%
% history:
%
% June 2nd 2009:
% buffer current system ID for later calls to speed up execution
%
% April 16th, 2009: 1st version
%*-----------------------------------------------------------------------*
%|                                                                       |
%|  Except where otherwise noted, this work is licensed under a          |
%|  Creative Commons Attribution-NonCommercial-ShareAlike 4.0            |
%|  International (CC BY-NC-SA 4.0) license.                             |
%|                                                                       |
%|  Copyright (c) 2017 by Paul Scherrer Institute (http://www.psi.ch)    |
%|                                                                       |
%|      Author: CXS group, PSI  |
%*-----------------------------------------------------------------------*
% You may use this code with the following provisions:
%
% If the code is fully or partially redistributed, or rewritten in another
% computing language this notice should be included in the redistribution.
%
% If this code, or subfunctions or parts of it, is used for research in a
% publication or if it is fully or partially rewritten for another
% computing language the authors and institution should be acknowledged
% in written form in the publication: “Data processing was carried out
% using the “cSAXS matlab package” developed by the CXS group,
% Paul Scherrer Institut, Switzerland.”
% Variations on the latter text can be incorporated upon discussion with
% the CXS group if needed to more specifically reflect the use of the package
% for the published work.
%
% A publication that focuses on describing features, or parameters, that
% are already existing in the code should be first discussed with the
% authors.
%
% This code and subroutines are part of a continuous development, they
% are provided “as they are” without guarantees or liability on part
% of PSI or the authors. It is the user responsibility to ensure its
% proper use and the correctness of the results.
function [return_system_id_str return_other_system_flags] = identify_system()
persistent system_id_str;
persistent parallel_computing_toolbox_available;
if (isempty(system_id_str))
% default value
system_id_str = 'other';
if (isunix)
% check for a known network name of the PC Matlab is running on
[status,hostname] = unix('hostname');
if (status == 0)
hostname = sscanf(hostname,'%s');
if length(hostname)>4 && strcmp(hostname(1:5),'x12sa')
system_id_str = 'X12SA';
else
switch hostname
case {'pc6024', 'pc5369'}
system_id_str = 'DPC lab';
case {'mpc1054'}
system_id_str = 'mDPC lab';
case {'pc5211', 'mpc1144', 'mpc1145'}
system_id_str = 'cSAXS-mobile';
case {'lccxs01', 'lccxs02', 'mpc1208'}
system_id_str = 'CXS compute node';
end
end
end
else
% neither Linux nor Mac
system_id_str = 'Windows';
end
end
% check for the parallel computing toolbox being available
if (isempty(parallel_computing_toolbox_available))
parallel_computing_toolbox_available = false;
versions = ver;
for line = 1:length(versions)
if strfind(versions(line).Name, 'Parallel Computing Toolbox')
parallel_computing_toolbox_available = true;
end
end
end
% compile return values
return_system_id_str = system_id_str;
return_other_system_flags.parallel_computing_toolbox_available = parallel_computing_toolbox_available;