Moving final GENENET8 version to master

1 files changed, 0 insertions, 130 deletions

diff --git a/sourcecodes/parameter_learning/normrnd.m b/sourcecodes/parameter_learning/normrnd.m
deleted file mode 100644
index 0267ddf6..00000000
--- a/sourcecodes/parameter_learning/normrnd.m
+++ /dev/null
@@ -1,130 +0,0 @@
-## Copyright (C) 2012 Rik Wehbring
-## Copyright (C) 1995-2012 Kurt Hornik
-##
-## This file is part of Octave.
-##
-## Octave is free software; you can redistribute it and/or modify it
-## under the terms of the GNU General Public License as published by
-## the Free Software Foundation; either version 3 of the License, or (at
-## your option) any later version.
-##
-## Octave is distributed in the hope that it will be useful, but
-## WITHOUT ANY WARRANTY; without even the implied warranty of
-## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
-## General Public License for more details.
-##
-## You should have received a copy of the GNU General Public License
-## along with Octave; see the file COPYING.  If not, see
-## <http://www.gnu.org/licenses/>.
-
-## -*- texinfo -*-
-## @deftypefn  {Function File} {} normrnd (@var{mu}, @var{sigma})
-## @deftypefnx {Function File} {} normrnd (@var{mu}, @var{sigma}, @var{r})
-## @deftypefnx {Function File} {} normrnd (@var{mu}, @var{sigma}, @var{r}, @var{c}, @dots{})
-## @deftypefnx {Function File} {} normrnd (@var{mu}, @var{sigma}, [@var{sz}])
-## Return a matrix of random samples from the normal distribution with
-## parameters mean @var{mu} and standard deviation @var{sigma}.
-##
-## When called with a single size argument, return a square matrix with
-## the dimension specified.  When called with more than one scalar argument the
-## first two arguments are taken as the number of rows and columns and any
-## further arguments specify additional matrix dimensions.  The size may also
-## be specified with a vector of dimensions @var{sz}.
-## 
-## If no size arguments are given then the result matrix is the common size of
-## @var{mu} and @var{sigma}.
-## @end deftypefn
-
-## Author: KH <Kurt.Hornik@wu-wien.ac.at>
-## Description: Random deviates from the normal distribution
-
-function rnd = normrnd (mu, sigma, varargin)
-
-  if (nargin < 2)
-    print_usage ();
-  endif
-
-  if (!isscalar (mu) || !isscalar (sigma))
-    [retval, mu, sigma] = common_size (mu, sigma);
-    if (retval > 0)
-      error ("normrnd: mu and sigma must be of common size or scalars");
-    endif
-  endif
-
-  if (iscomplex (mu) || iscomplex (sigma))
-    error ("normrnd: MU and SIGMA must not be complex");
-  endif
-
-  if (nargin == 2)
-    sz = size (mu);
-  elseif (nargin == 3)
-    if (isscalar (varargin{1}) && varargin{1} >= 0)
-      sz = [varargin{1}, varargin{1}];
-    elseif (isrow (varargin{1}) && all (varargin{1} >= 0))
-      sz = varargin{1};
-    else
-      error ("normrnd: dimension vector must be row vector of non-negative integers");
-    endif
-  elseif (nargin > 3)
-    if (any (cellfun (@(x) (!isscalar (x) || x < 0), varargin)))
-      error ("normrnd: dimensions must be non-negative integers");
-    endif
-    sz = [varargin{:}];
-  endif
-
-  if (!isscalar (mu) && !isequal (size (mu), sz))
-    error ("normrnd: mu and sigma must be scalar or of size SZ");
-  endif
-
-  if (isa (mu, "single") || isa (sigma, "single"))
-    cls = "single";
-  else
-    cls = "double";
-  endif
-
-  if (isscalar (mu) && isscalar (sigma))
-    if (!isnan (mu) && !isinf (mu) && (sigma > 0) && (sigma < Inf))
-      rnd =  mu + sigma * randn (sz);
-    else
-      rnd = NaN (sz, cls);
-    endif
-  else
-    rnd = mu + sigma .* randn (sz);
-    k = isnan (mu) | isinf (mu) | !(sigma > 0) | !(sigma < Inf);
-    rnd(k) = NaN;
-  endif
-
-endfunction
-
-
-%!assert(size (normrnd (1,2)), [1, 1]);
-%!assert(size (normrnd (ones(2,1), 2)), [2, 1]);
-%!assert(size (normrnd (ones(2,2), 2)), [2, 2]);
-%!assert(size (normrnd (1, 2*ones(2,1))), [2, 1]);
-%!assert(size (normrnd (1, 2*ones(2,2))), [2, 2]);
-%!assert(size (normrnd (1, 2, 3)), [3, 3]);
-%!assert(size (normrnd (1, 2, [4 1])), [4, 1]);
-%!assert(size (normrnd (1, 2, 4, 1)), [4, 1]);
-
-%% Test class of input preserved
-%!assert(class (normrnd (1, 2)), "double");
-%!assert(class (normrnd (single(1), 2)), "single");
-%!assert(class (normrnd (single([1 1]), 2)), "single");
-%!assert(class (normrnd (1, single(2))), "single");
-%!assert(class (normrnd (1, single([2 2]))), "single");
-
-%% Test input validation
-%!error normrnd ()
-%!error normrnd (1)
-%!error normrnd (ones(3),ones(2))
-%!error normrnd (ones(2),ones(3))
-%!error normrnd (i, 2)
-%!error normrnd (2, i)
-%!error normrnd (1,2, -1)
-%!error normrnd (1,2, ones(2))
-%!error normrnd (1, 2, [2 -1 2])
-%!error normrnd (1,2, 1, ones(2))
-%!error normrnd (1,2, 1, -1)
-%!error normrnd (ones(2,2), 2, 3)
-%!error normrnd (ones(2,2), 2, [3, 2])
-%!error normrnd (ones(2,2), 2, 2, 3)