.tags

.mat_tags

rebuildTags.sh

res = mlab.run_code('a=10; b=a+3')

import pymatbridge as pymat

ip = get_ipython()

pymat.load_ipython_extension(ip)

function M=json2mat(J)

% JSON2MAT: converts a javscript data object (JSON) into a Matlab structure

% using s recursive approach. J can also be a file name.

%

%Example: lala=json2mat('{lele:2,lili:4,lolo:[1,2,{lulu:5,bubu:[[1,2],[3,4],[5,6]]}]}')

% notice lala.lolo{3}.bubu is read as a 2D matrix.

%

% Jonas Almeida, March 2010

if exist(J)==2 % if J is a filename

fid=fopen(J,'r');

J='';

while ~feof(fid)

J=[J,fgetl(fid)];

end

fclose(fid);

M=json2mat(J);

else

J1=regexprep(J(1:min([5,length(J)])),'\s',''); %despaced start of J string

if J1(1)=='{' %extract structures

JJ=regexp(J,'\{(.*)\}','tokens');

M=extract_struct(JJ{1}{1});

elseif J1(1)=='[' %extract cells

JJ=regexp(J,'\[(.*)\]','tokens');

M=extract_cell(JJ{1}{1});

elseif J1(1)=='"' %literal string

JJ=regexp(J,'\"(.*)\"','tokens');

M=JJ{1}{1};

else %numeric value

M=str2num(J); % is number

end

end

function y=extract_struct(x)

%detag arrays first

indOC=extract_embed(x,'[',']');

n=size(indOC,1);

for i=n:-1:1

tag{i}=json2mat(x(indOC(i,1):indOC(i,2)));

x=[x(1:indOC(i,1)-1),'tag{',num2str(i),'}',x(indOC(i,2)+1:end)];

end

a=regexp(x,'[^:,]+:[^,]+');

n=length(a);

a=[a,length(x)+2];

for i=1:n

s=x(a(i):a(i+1)-2);

t=regexp(s,'([^:]+):(.+)','tokens');

%t{1}{1}(t{1}{1}==32)=[]; % remove blanks, maybe later do something fancier like replace with underscores

t{1}{1}=strrep(t{1}{1},' ','_');

t{1}{1}=strrep(t{1}{1},'"','');

if t{1}{1}(1)=='_' %JSON allows for fieldnames starting with "_"

t{1}{1}(1)=''; % this line will cause hard to track problems if the same object has 2 attributes with the same name but one of them starting with "_"

end

if regexp(t{1}{2},'tag{\d+}')

y.(t{1}{1})=eval(t{1}{2});

else

y.(t{1}{1})=json2mat(t{1}{2});

end

%y.(t{1}{1})=json2mat(t{1}{2});

end

function y=extract_cell(x)

indOC=extract_embed(x,'{','}');

n=size(indOC,1);

for i=n:-1:1

tag{i}=json2mat(x(indOC(i,1):indOC(i,2)));

x=[x(1:indOC(i,1)-1),'tag~<',num2str(i),'>~',x(indOC(i,2)+1:end)];

end

indOC=extract_embed(x,'[',']');

m=size(indOC,1);

for j=m:-1:1

i=n+j;

tag{i}=json2mat(x(indOC(i,1):indOC(i,2)));

try;tag{i}=cell2mat(tag{i});end

x=[x(1:indOC(i,1)-1),'tag{',num2str(i),'}',x(indOC(i,2)+1:end)];

end

x=strrep(x,'~<','{');

x=strrep(x,'>~','}');

if exist('tag') %catching numeric content

if isnumeric([tag{:}])

try

y=eval(['[',strrep(x,'},','};'),']']);

end

end

end

if exist('y')~=1

y=eval(['{',strrep(x,'"',''''),'}']);

end

%look for embeded objects and arrays

function y=extract_embed(x,tagOpen,tagClose)

%EXTRACT_EMBED identifies embeded tagged segments

%Example y=extract_embed(str,'[',']')

indOpen=strfind(x,tagOpen)';

indOpen=[indOpen,ones(length(indOpen),1)];

indClose=strfind(x,tagClose)';

indClose=[indClose,-ones(length(indClose),1)];

indOpenClose=[indOpen;indClose];

[NULL,Ind]=sort(indOpenClose(:,1));

clear NULL;

indOpenClose=indOpenClose(Ind,:);

n=size(indOpenClose,1);

for i=2:n % add one for open, take one for close

indOpenClose(i,2)=indOpenClose(i-1,2)+indOpenClose(i,2);

end

i=0;

op=0; %open

while i<n

i=i+1;

if (indOpenClose(i,2)==1)*(op==0)

op=1;

elseif indOpenClose(i,2)==0

op=0;

else

indOpenClose(i,2)=-1;

end

end

if isempty(indOpenClose)

y=[];

else

indOpenClose(indOpenClose(:,2)<0,:)=[];

y=[indOpenClose(1:2:end,1),indOpenClose(2:2:end,1)];% Open/Close Indexes

end