revert fixture to fix test_range failures

Author: jbrockmendel

pandas/tests/indexes/test_numeric.py

@@ -18,6 +18,8 @@
 from pandas.tests.indexes.common import Base
 
 
+# For testing division by (or of) zero for Series with length 5, this
+# gives several scalar-zeros and length-5 vector-zeros
 zeros = [box([0] * 5, dtype=dtype)
          for box in [pd.Index, np.array]
          for dtype in [np.int64, np.uint64, np.float64]]
@@ -26,15 +28,6 @@
 zeros.extend([0, 0.0, long(0)])
 
 
-@pytest.fixture(params=zeros)
-def zero(request):
-    """
-    For testing division by (or of) zero for Series with length 5, this
-    gives several scalar-zeros and length-5 vector-zeros
-    """
-    return request.param
-
-
 def full_like(array, value):
     """Compatibility for numpy<1.8.0
     """
@@ -174,6 +167,7 @@ def test_divmod_series(self):
         for r, e in zip(result, expected):
             tm.assert_series_equal(r, e)
 
+    @pytest.mark.parametrize('zero', zeros)
     def test_div_zero(self, zero):
         idx = self.create_index()
 
@@ -184,6 +178,7 @@ def test_div_zero(self, zero):
         ser_compat = Series(idx).astype('i8') / np.array(zero).astype('i8')
         tm.assert_series_equal(ser_compat, Series(result))
 
+    @pytest.mark.parametrize('zero', zeros)
     def test_floordiv_zero(self, zero):
         idx = self.create_index()
         expected = Index([np.nan, np.inf, np.inf, np.inf, np.inf],
@@ -194,6 +189,7 @@ def test_floordiv_zero(self, zero):
         ser_compat = Series(idx).astype('i8') // np.array(zero).astype('i8')
         tm.assert_series_equal(ser_compat, Series(result))
 
+    @pytest.mark.parametrize('zero', zeros)
     def test_mod_zero(self, zero):
         idx = self.create_index()
 
@@ -204,6 +200,7 @@ def test_mod_zero(self, zero):
         ser_compat = Series(idx).astype('i8') % np.array(zero).astype('i8')
         tm.assert_series_equal(ser_compat, Series(result))
 
+    @pytest.mark.parametrize('zero', zeros)
     def test_divmod_zero(self, zero):
         idx = self.create_index()