Ignore PerformanceWarning -- avoid noise

By abolishing assert_produces_warning, we avoid inconsistently-
raised warnings by different versions of underlying NumPy, e.g.
on OS X.

Author: kernc

pandas/tests/sparse/frame/test_frame.py

@@ -22,6 +22,9 @@
 from pandas.tests.frame.test_api import SharedWithSparse
 
 
+pytestmark = pytest.mark.filterwarnings("ignore:Setting Sparse:PerformanceWarning")
+
+
 class TestSparseDataFrame(SharedWithSparse):
     klass = SparseDataFrame
 
@@ -1333,24 +1336,21 @@ def spindex_kind(request):
 @pytest.mark.parametrize('indexer', ['iat'])
 @pytest.mark.parametrize('key', [(0, 0)])
 def test_frame_assignment_at(spindex_kind, indexer, key):
-    with tm.assert_produces_warning(PerformanceWarning):
-        _test_assignment(spindex_kind, indexer, key)
+    _test_assignment(spindex_kind, indexer, key)
 
 
 @pytest.mark.parametrize('indexer', ['at', 'loc', 'iloc'])
 @pytest.mark.parametrize('key', [0,
                                  [0, 1],
                                  [True, False]])
 def test_frame_assignment_loc(spindex_kind, indexer, key):
-    with tm.assert_produces_warning(PerformanceWarning):
-        _test_assignment(spindex_kind, indexer, key)
+    _test_assignment(spindex_kind, indexer, key)
 
 
 @pytest.mark.parametrize('key', [None,
                                  [True, False]])
 def test_frame_assignment_setitem(spindex_kind, key):
-    with tm.assert_produces_warning(PerformanceWarning):
-        _test_assignment(spindex_kind, None, key)
+    _test_assignment(spindex_kind, None, key)
 
 
 @pytest.mark.parametrize('key', [3])
@@ -1360,5 +1360,4 @@ def test_frame_assignment_extend_index_loc(spindex_kind, key):
 
 @pytest.mark.parametrize('key', [3])
 def test_frame_assignment_extend_index_at(spindex_kind, key):
-    with tm.assert_produces_warning(PerformanceWarning):
-        _test_assignment(spindex_kind, 'at', key)
+    _test_assignment(spindex_kind, 'at', key)