move fixture to conftest

pandas/tests/indexes/conftest.py

@@ -1,9 +1,10 @@
 import pytest
 import numpy as np
+import pandas as pd
 
 import pandas.util.testing as tm
 from pandas.core.indexes.api import Index, MultiIndex
-from pandas.compat import lzip
+from pandas.compat import lzip, long
 
 
 @pytest.fixture(params=[tm.makeUnicodeIndex(100),
@@ -29,3 +30,18 @@ def indices(request):
 def one(request):
     # zero-dim integer array behaves like an integer
     return request.param
+
+
+zeros = [box([0] * 5, dtype=dtype)
+         for box in [pd.Index, np.array]
+         for dtype in [np.int64, np.uint64, np.float64]]
+zeros.extend([np.array(0, dtype=dtype)
+              for dtype in [np.int64, np.uint64, np.float64]])
+zeros.extend([0, 0.0, long(0)])
+
+
+@pytest.fixture(params=zeros)
+def zero(request):
+    # For testing division by (or of) zero for Index with length 5, this
+    # gives several scalar-zeros and length-5 vector-zeros
+    return request.param

pandas/tests/indexes/test_numeric.py

@@ -3,7 +3,7 @@
 import pytest
 
 from datetime import datetime
-from pandas.compat import range, PY3, long
+from pandas.compat import range, PY3
 
 import numpy as np
 
@@ -18,16 +18,6 @@
 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]]
-zeros.extend([np.array(0, dtype=dtype)
-             for dtype in [np.int64, np.uint64, np.float64]])
-zeros.extend([0, 0.0, long(0)])
-
-
 def full_like(array, value):
     """Compatibility for numpy<1.8.0
     """
@@ -167,7 +157,6 @@ 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()
 
@@ -178,7 +167,6 @@ 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],
@@ -189,7 +177,6 @@ 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()
 
@@ -200,7 +187,6 @@ 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()