mirror of
https://github.com/c-sooyoung/fold_slice.git
synced 2026-09-17 20:39:08 +09:00
83 lines
4.1 KiB
Matlab
83 lines
4.1 KiB
Matlab
%ADD_CONTENT write matlab structure to H5 file
|
||
|
||
%*-----------------------------------------------------------------------*
|
||
%| |
|
||
%| 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 add_content(data, gid, plist, comp, overwrite)
|
||
import io.HDF.*
|
||
|
||
fn = fieldnames(data);
|
||
for jj=1:length(fn)
|
||
if isstruct(data.(fn{jj}))
|
||
fn_sub = fieldnames(data.(fn{jj}));
|
||
if length(fn_sub) <= 2 && isfield(data.(fn{jj}), 'Value')
|
||
% found dataset
|
||
if isfield(data.(fn{jj}), 'Attributes')
|
||
Attributes.MATLAB_class = class(data.(fn{jj}).Value);
|
||
write_dataset(data.(fn{jj}).Value, gid, fn{jj}, plist, comp, overwrite, data.(fn{jj}).Attributes);
|
||
else
|
||
Attributes.MATLAB_class = class(data.(fn{jj}).Value);
|
||
write_dataset(data.(fn{jj}).Value, gid, fn{jj}, plist, comp, overwrite, Attributes);
|
||
end
|
||
elseif strcmpi(fn{jj}, 'Attributes')
|
||
% add attributes to group
|
||
fn_attr = fieldnames(data.Attributes);
|
||
for ii=1:length(fn_attr)
|
||
write_attribute(gid, data.Attributes.(fn_attr{ii}), fn_attr{ii});
|
||
end
|
||
else
|
||
% found group
|
||
gid_new = add_groups(gid, fn{jj}, plist, true);
|
||
if length(data.(fn{jj})) == 1
|
||
add_content(data.(fn{jj}), gid_new, plist, comp, overwrite)
|
||
else
|
||
fn_names = cell(1,length(data.(fn{jj})));
|
||
for ii=1:length(data.(fn{jj}))
|
||
fn_names{ii} = sprintf([fn{jj} '_%d'],ii-1);
|
||
gid_new_sub = add_groups(gid_new, fn_names{ii}, plist, true);
|
||
add_content(data.(fn{jj})(ii), gid_new_sub, plist, comp, overwrite);
|
||
end
|
||
write_attribute(gid_new, 'structure array', 'MATLAB_class');
|
||
|
||
end
|
||
end
|
||
else
|
||
% append dataset
|
||
Attributes.MATLAB_class = class(data.(fn{jj}));
|
||
write_dataset(data.(fn{jj}), gid, fn{jj}, plist, comp, overwrite, Attributes);
|
||
end
|
||
end
|
||
|
||
end
|