Drop_dims working for any order!

[linpy.git] / pypol / tests / test_polyhedra.py

diff --git a/pypol/tests/test_polyhedra.py b/pypol/tests/test_polyhedra.py
index c74e25f..c7a58a4 100644 (file)
--- a/pypol/tests/test_polyhedra.py
+++ b/pypol/tests/test_polyhedra.py
@@ -3,21 +3,7 @@ import unittest
 
 from ..linexprs import symbols
 from ..polyhedra import *
 
 from ..linexprs import symbols
 from ..polyhedra import *

-
-
-try:
-    import sympy
-    def _requires_sympy(func):
-        @functools.wraps(func)
-        def wrapper(self):
-            return func(self)
-        return wrapper
-except ImportError:
-    def _requires_sympy(func):
-        @functools.wraps(func)
-        def wrapper(self):
-            raise unittest.SkipTest('SymPy is not available')
-        return wrapper
+from .libhelper import requires_sympy

 
 
 class TestPolyhedron(unittest.TestCase):
 
 
 class TestPolyhedron(unittest.TestCase):


@@ -50,14 +36,16 @@ class TestPolyhedron(unittest.TestCase):
     def test_isuniverse(self):
         self.assertFalse(self.square.isuniverse())
 
     def test_isuniverse(self):
         self.assertFalse(self.square.isuniverse())
 

-    @_requires_sympy
+    @requires_sympy

     def test_fromsympy(self):
     def test_fromsympy(self):

+        import sympy

         sp_x, sp_y = sympy.symbols('x y')
         self.assertEqual(Polyhedron.fromsympy((sp_x >= 0) & (sp_x <= 1) &
             (sp_y >= 0) & (sp_y <= 1)), self.square)
 
         sp_x, sp_y = sympy.symbols('x y')
         self.assertEqual(Polyhedron.fromsympy((sp_x >= 0) & (sp_x <= 1) &
             (sp_y >= 0) & (sp_y <= 1)), self.square)
 

-    @_requires_sympy
+    @requires_sympy

     def test_tosympy(self):
     def test_tosympy(self):

+        import sympy

         sp_x, sp_y = sympy.symbols('x y')
         self.assertEqual(self.square.tosympy(),
             sympy.And(-sp_x + 1 >= 0, -sp_y + 1 >= 0, sp_x >= 0, sp_y >= 0))
         sp_x, sp_y = sympy.symbols('x y')
         self.assertEqual(self.square.tosympy(),
             sympy.And(-sp_x + 1 >= 0, -sp_y + 1 >= 0, sp_x >= 0, sp_y >= 0))