Minor doc update/fix in pyfaust ConstraintMat and supp proj.

wrapper/python/pyfaust/factparams.py

@@ -225,7 +225,8 @@ class ConstraintMat(ConstraintGeneric):
         self._cons_value = self.cons_value
         if(cons_value_sz == None):
             self._cons_value_sz = self._num_cols*self._num_rows
-        self._cons_value_sz = cons_value_sz
+        else:
+            self._cons_value_sz = cons_value_sz
         if(normalized == None):
             if(self._name.name == ConstraintName.CONST):
                 # for const proj the default is to not normalize
@@ -251,23 +252,6 @@ class ConstraintMat(ConstraintGeneric):
                                                       self._cons_value_sz,
                                                       self.normalized, self.pos)
 
-#class ConstraintMatBlockdiag(ConstraintGeneric):
-#
-#
-#    def __init__(self, name, cons_value, normalized=None, pos=False):
-#        super(ConstraintMatBlockdiag, self).__init__(name, cons_value._shape[0],
-#                                            cons_value._shape[1],
-#                                            cons_value, normalized, pos)
-#        from pyfaust.proj import blockdiag
-#        if(not isinstance(cons_value, blockdiag)):
-#            raise TypeError("cons_value must be a blockdiag")
-#        self.normalized = normalized
-#        self.pos = pos
-#
-#    def project(self, M):
-#        ConstraintGeneric.project(self, M)
-#        return self.cons_value(M)
-
 
 class ConstraintReal(ConstraintGeneric):
     """

wrapper/python/pyfaust/proj.py

@@ -237,11 +237,13 @@ class supp(proj_gen):
 
         Example:
             >>> from pyfaust.proj import supp
-            >>> from numpy.random import rand, zeros
+            >>> from numpy.random import rand
+            >>> from numpy import zeros
             >>> M = rand(5,5)
-            >>> S = zeros(5,5)
+            >>> S = zeros((5,5))
             >>> S[M>.5] = 1
             >>> p = supp(S)
+            >>> M
             array([[ 0.        ,  0.        ,  0.22763947,  0.35813742,
                     0.32570465],
                    [ 0.        ,  0.33306546,  0.        ,  0.        ,