[Scilab-users] About some changes in Scilab 6
Pierre Vuillemin
contact at pierre-vuillemin.fr
Thu Feb 16 18:37:40 CET 2017
Hi all,
Congratulations to Scilab team for the release, it looks very promising!
I have begun to test the compatibility of some of my tools with Scilab 6
and I have some questions:
- the way libraries are handled seems to have changed with Scilab 6,
and the example provided in 'help lib' does not work anymore,
//define some functions
function z=myplus(x, y)
z = x + y
endfunction
function z=yourplus(x, y)
x = x - y
endfunction
//create the *.bin files in libdir
libdir = TMPDIR;
save(libdir + '/myplus.bin', 'myplus');
save(libdir + '/yourplus.bin', 'yourplus');
//create the name file
mputl(['myplus';'yourplus'],TMPDIR+'/names');
//build the library containing myplus and yourplus
mylibfoo = lib(libdir+'/');
The above code says that the path is not a path to a valid library.
Could someone explain what 'lib' is expecting? (I would like to
avoid using 'genlib' as it does not recursively goes through
subdirectories).
- when 'error' is called within a function that overload the
behaviour for some object, then the error message is not displayed, e.g.
a = mlist(['myType']);
function %myType_e(varargin)
error('My error msg')
endfunction
a(1)
only says that the operation is not defined for this type without
displaying 'My error msg'.
- I'm not sure that this is specific to Scilab 6, but I've noticed a
large difference in performance for solving linear systems A*x = b
in comparison to Octave and Matlab. For instance,
n = 100;
N = 1000;
T = 0;
for i = 1:n
A = rand(N,N);
b = rand(N,1);
tic();
x = A\b;
T = T + toc();
end
disp(T/n)
is (significantly) slower with Scilab (binaries for linux 64bits)
than with Octave. Is it due to the way the underlying lapack library
is compiled?
- In Scilab 5, given a variable 'x', the expression
x = clear('x')
was allowed and would clean the variable 'x'. Used together with
'resume' in a function, that allowed to clean variables from the
above environment. While it might not be a very safe coding
practice, is there a way to reproduce this behaviour in Scilab 6 ?
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