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fennecslite/matlab/helper_classes/h5partsquantity.m
6b37315661933Dmpimode

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h5partsquantity.m
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classdef h5partsquantity
properties
filename
group
dataset
nparts
nt
scale
end
methods
function obj=h5partsquantity(filename, group, dataset, scale)
obj.filename=filename;
obj.dataset=dataset;
obj.group=group;
obj.nparts=h5info(filename,sprintf('%s/%s',group,dataset)).Dataspace.Size(1);
obj.nt=h5info(filename,sprintf('%s/%s',group,dataset)).Dataspace.Size(end);
if nargin < 4
obj.scale=1;
else
obj.scale=scale;
end
end
function ind=end(obj,k,n)
switch k
case 1
ind=obj.nparts;
case 2
ind=obj.nt;
case default
error('Invalid number of dimensions');
end
end
function sref = subsref(obj,s)
% obj(i) is equivalent to obj.Data(i)
switch s(1).type
case '.'
if(strcmp(s(1).subs,'val'))
sref = obj.(s(1).subs)(s(2).subs);
else
sref=builtin('subsref',obj,s);
end
case '()'
sref = val(obj,s(1).subs);
case '{}'
error('MYDataClass:subsref',...
'Not a supported subscripted reference')
end
end
function quantity=val(obj,indices)
if strcmp(indices{1},':')
p=1:obj.nparts;
else
p=indices{1};
end
if strcmp(indices{2},':')
t=1:obj.nt;
else
t=indices{2};
end
if size(indices,2)>2
track=indices{3};
else
track=false;
end
if track
quantity=sparse(max(p),length(t));
for i=1:length(t)
indices = h5read(obj.filename, sprintf('%s/%s',obj.group,'partindex'),[1 t(i)],[Inf 1]);
indices(indices<=0)=max(indices)+1;
quantity(indices,i) = h5read(obj.filename, sprintf('%s/%s',obj.group,obj.dataset),[1 t(i)],[Inf 1]);
end
else
quantity=zeros(length(p),length(t));
for i=1:length(t)
quantity(:,i) = h5read(obj.filename, sprintf('%s/%s',obj.group,obj.dataset),[1 t(i)],[length(p) 1]);
end
end
quantity=quantity(:,:)*obj.scale;
end
end
end
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