mark_tests_working_on_intel

Last-Update Sat, 14 Oct 2017 19:42:59 +0200
Bug-Debian: https://bugs.debian.org/877419
Author: Graham Inggs <[email protected]>
Last-Update: 2018-04-11


Gbp-Pq: Name mark_tests_working_on_intel.patch

Author: Debian Science Team

pandas/tests/arithmetic/test_timedelta64.py

@@ -569,6 +569,7 @@ def test_td64_df_add_int_frame(self):
 
     # TODO: moved from tests.indexes.timedeltas.test_arithmetic; needs
     #  parametrization+de-duplication
+    @pytest.mark.intel
     def test_timedelta_ops_with_missing_values(self):
         # setup
         s1 = pd.to_timedelta(Series(["00:00:01"]))

pandas/tests/frame/test_analytics.py

@@ -1368,6 +1368,7 @@ def test_sum_prod_nanops(self, method, unit):
         expected = pd.Series(result, index=["A", "B"])
         tm.assert_series_equal(result, expected)
 
+    @pytest.mark.intel
     def test_sum_nanops_timedelta(self):
         # prod isn't defined on timedeltas
         idx = ["a", "b", "c"]

pandas/tests/frame/test_arithmetic.py

@@ -65,6 +65,7 @@ def check(df, df2):
         )
         check(df, df2)
 
+    @pytest.mark.intel
     def test_timestamp_compare(self):
         # make sure we can compare Timestamps on the right AND left hand side
         # GH#4982

pandas/tests/frame/test_indexing.py

@@ -3049,6 +3049,7 @@ def test_where_bug_transposition(self):
         result = a.where(do_not_replace, b)
         assert_frame_equal(result, expected)
 
+    @pytest.mark.intel
     def test_where_datetime(self):
 
         # GH 3311

pandas/tests/groupby/aggregate/test_other.py

@@ -102,6 +102,7 @@ def test_agg_period_index():
     list(grouped)
 
 
+@pytest.mark.intel
 def test_agg_dict_parameter_cast_result_dtypes():
     # GH 12821
 

pandas/tests/series/test_constructors.py

@@ -1246,6 +1246,7 @@ def test_NaT_scalar(self):
         series[2] = val
         assert isna(series[2])
 
+    @pytest.mark.intel
     def test_NaT_cast(self):
         # GH10747
         result = Series([np.nan]).astype("M8[ns]")

pandas/tests/test_algos.py

@@ -1035,6 +1035,7 @@ def test_dropna(self):
             expected = Series([2, 1, 1], index=[5.0, 10.3, np.nan])
             tm.assert_series_equal(result, expected)
 
+    @pytest.mark.intel
     def test_value_counts_normalized(self):
         # GH12558
         s = Series([1, 2, np.nan, np.nan, np.nan])