Secure normlin/normcol norm parameter to be >= 0 (otherwise an error is raised).

wrapper/matlab/+matfaust/+proj/@normcol/normcol.m

@@ -17,6 +17,9 @@ classdef normcol < matfaust.proj.proj_gen
 		%===============================================
 		function proj = normcol(shape, normval)%, varargin)
 			import matfaust.factparams.ConstraintReal
+			if(normval < 0)
+				error('A norm can''t be negative')
+			end
 			proj.constraint = ConstraintReal('normcol', shape(1), shape(2), normval)%, varargin{:});
 		end
 	end

wrapper/matlab/+matfaust/+proj/@normlin/normlin.m

@@ -17,6 +17,9 @@ classdef normlin < matfaust.proj.proj_gen
 		%===============================================
 		function proj = normlin(shape, normval, varargin)
 			import matfaust.factparams.ConstraintReal
+			if(normval < 0)
+				error('A norm can''t be negative')
+			end
 			proj.constraint = ConstraintReal('normlin', shape(1), shape(2), normval, varargin{:});
 		end
 	end

wrapper/python/pyfaust/proj.py

@@ -372,6 +372,8 @@ class normcol(proj_gen):
             >>> norm(p(M)[:,0], 2)
             0.01
         """
+        if(s < 0):
+            raise ValueError('A norm can\'t be negative')
         normalized=False
         pos=False
         self.constraint = ConstraintReal('normcol', shape[0], shape[1], s, normalized, pos)
@@ -404,6 +406,8 @@ class normlin(proj_gen):
             pos: True to skip negative values (replaced by zero) of the matrix to project.
 
         """
+        if(s < 0):
+            raise ValueError('A norm can\'t be negative')
         normalized=False
         pos=False
         self.constraint = ConstraintReal('normlin', shape[0], shape[1], s, normalized, pos)