Fix implementation of Polyhedron.__new__()
authorVivien Maisonneuve <v.maisonneuve@gmail.com>
Tue, 19 Aug 2014 13:22:25 +0000 (15:22 +0200)
committerVivien Maisonneuve <v.maisonneuve@gmail.com>
Tue, 19 Aug 2014 13:22:25 +0000 (15:22 +0200)
linpy/polyhedra.py

index 543e673..8426d32 100644 (file)
@@ -87,22 +87,20 @@ class Polyhedron(Domain):
             if inequalities is not None:
                 raise TypeError('too many arguments')
             return equalities.aspolyhedron()
             if inequalities is not None:
                 raise TypeError('too many arguments')
             return equalities.aspolyhedron()
-        if equalities is None:
-            equalities = []
-        else:
-            for i, equality in enumerate(equalities):
+        sc_equalities = []
+        if equalities is not None:
+            for equality in equalities:
                 if not isinstance(equality, LinExpr):
                     raise TypeError('equalities must be linear expressions')
                 if not isinstance(equality, LinExpr):
                     raise TypeError('equalities must be linear expressions')
-                equalities[i] = equality.scaleint()
-        if inequalities is None:
-            inequalities = []
-        else:
-            for i, inequality in enumerate(inequalities):
+                sc_equalities.append(equality.scaleint())
+        sc_inequalities = []
+        if inequalities is not None:
+            for inequality in inequalities:
                 if not isinstance(inequality, LinExpr):
                     raise TypeError('inequalities must be linear expressions')
                 if not isinstance(inequality, LinExpr):
                     raise TypeError('inequalities must be linear expressions')
-                inequalities[i] = inequality.scaleint()
-        symbols = cls._xsymbols(equalities + inequalities)
-        islbset = cls._toislbasicset(equalities, inequalities, symbols)
+                sc_inequalities.append(inequality.scaleint())
+        symbols = cls._xsymbols(sc_equalities + sc_inequalities)
+        islbset = cls._toislbasicset(sc_equalities, sc_inequalities, symbols)
         return cls._fromislbasicset(islbset, symbols)
 
     @property
         return cls._fromislbasicset(islbset, symbols)
 
     @property