CI: Mark slow tests as slow to speed up ci (#41140)

Author: phofl

pandas/tests/frame/test_constructors.py

@@ -1012,6 +1012,7 @@ def test_constructor_maskedrecarray_dtype(self):
         alt = DataFrame({name: data[name] for name in data.dtype.names}, dtype=int)
         tm.assert_frame_equal(result, alt)
 
+    @pytest.mark.slow
     def test_constructor_mrecarray(self):
         # Ensure mrecarray produces frame identical to dict of masked arrays
         # from GH3479

pandas/tests/groupby/transform/test_transform.py

@@ -631,7 +631,7 @@ def test_groupby_cum_skipna(op, skipna, input, exp):
     tm.assert_series_equal(expected, result)
 
 
-@pytest.mark.arm_slow
+@pytest.mark.slow
 @pytest.mark.parametrize(
     "op, args, targop",
     [

pandas/tests/indexes/datetimes/test_date_range.py

@@ -146,6 +146,7 @@ def test_date_range_int64_overflow_non_recoverable(self):
         with pytest.raises(OutOfBoundsDatetime, match=msg):
             date_range(end="1969-11-14", periods=106752 * 24, freq="H")
 
+    @pytest.mark.slow
     def test_date_range_int64_overflow_stride_endpoint_different_signs(self):
         # cases where stride * periods overflow int64 and stride/endpoint
         #  have different signs

pandas/tests/indexes/multi/test_integrity.py

@@ -122,7 +122,7 @@ def test_consistency():
     assert index.is_unique is False
 
 
-@pytest.mark.arm_slow
+@pytest.mark.slow
 def test_hash_collisions():
     # non-smoke test that we don't get hash collisions
 

pandas/tests/indexing/interval/test_interval.py

@@ -71,7 +71,7 @@ def test_getitem_non_matching(self, series_with_interval_index, indexer_sl):
         with pytest.raises(KeyError, match=r"^\[-1\]$"):
             indexer_sl(ser)[[-1, 3]]
 
-    @pytest.mark.arm_slow
+    @pytest.mark.slow
     def test_loc_getitem_large_series(self):
         ser = Series(
             np.arange(1000000), index=IntervalIndex.from_breaks(np.arange(1000001))

pandas/tests/indexing/multiindex/test_chaining_and_caching.py

@@ -56,7 +56,7 @@ def test_cache_updating():
     assert result == 2
 
 
-@pytest.mark.arm_slow
+@pytest.mark.slow
 def test_indexer_caching():
     # GH5727
     # make sure that indexers are in the _internal_names_set

pandas/tests/io/parser/common/test_chunksize.py

@@ -162,6 +162,7 @@ def test_chunk_begins_with_newline_whitespace(all_parsers):
     tm.assert_frame_equal(result, expected)
 
 
+@pytest.mark.slow
 @pytest.mark.xfail(reason="GH38630, sometimes gives ResourceWarning", strict=False)
 def test_chunks_have_consistent_numerical_type(all_parsers):
     parser = all_parsers

pandas/tests/io/parser/test_c_parser_only.py

@@ -159,6 +159,7 @@ def test_unsupported_dtype(c_parser_only, match, kwargs):
 
 
 @td.skip_if_32bit
+@pytest.mark.slow
 def test_precise_conversion(c_parser_only):
     from decimal import Decimal
 
@@ -300,6 +301,7 @@ def test_tokenize_CR_with_quoting(c_parser_only):
     tm.assert_frame_equal(result, expected)
 
 
+@pytest.mark.slow
 def test_grow_boundary_at_cap(c_parser_only):
     # See gh-12494
     #

pandas/tests/io/sas/test_sas7bdat.py

@@ -39,6 +39,7 @@ def setup_method(self, datapath):
                     df.iloc[:, k] = df.iloc[:, k].astype(np.float64)
             self.data.append(df)
 
+    @pytest.mark.slow
     def test_from_file(self):
         for j in 0, 1:
             df0 = self.data[j]
@@ -47,6 +48,7 @@ def test_from_file(self):
                 df = pd.read_sas(fname, encoding="utf-8")
                 tm.assert_frame_equal(df, df0)
 
+    @pytest.mark.slow
     def test_from_buffer(self):
         for j in 0, 1:
             df0 = self.data[j]
@@ -61,6 +63,7 @@ def test_from_buffer(self):
                     df = rdr.read()
                 tm.assert_frame_equal(df, df0, check_exact=False)
 
+    @pytest.mark.slow
     def test_from_iterator(self):
         for j in 0, 1:
             df0 = self.data[j]
@@ -72,6 +75,7 @@ def test_from_iterator(self):
                     df = rdr.read(3)
                     tm.assert_frame_equal(df, df0.iloc[2:5, :])
 
+    @pytest.mark.slow
     def test_path_pathlib(self):
         for j in 0, 1:
             df0 = self.data[j]
@@ -81,6 +85,7 @@ def test_path_pathlib(self):
                 tm.assert_frame_equal(df, df0)
 
     @td.skip_if_no("py.path")
+    @pytest.mark.slow
     def test_path_localpath(self):
         from py.path import local as LocalPath
 
@@ -91,6 +96,7 @@ def test_path_localpath(self):
                 df = pd.read_sas(fname, encoding="utf-8")
                 tm.assert_frame_equal(df, df0)
 
+    @pytest.mark.slow
     def test_iterator_loop(self):
         # github #13654
         for j in 0, 1:

pandas/tests/io/sas/test_xport.py

@@ -34,6 +34,7 @@ def setup_method(self, datapath):
         with td.file_leak_context():
             yield
 
+    @pytest.mark.slow
     def test1_basic(self):
         # Tests with DEMO_G.xpt (all numeric file)
 

pandas/tests/test_sorting.py

@@ -67,7 +67,6 @@ def test_int64_overflow(self):
             assert left[k] == v
         assert len(left) == len(right)
 
-    @pytest.mark.arm_slow
     def test_int64_overflow_moar(self):
 
         # GH9096

pandas/tests/window/moments/test_moments_rolling_skew_kurt.py

@@ -152,6 +152,7 @@ def test_center_reindex_series(series, roll_func):
     tm.assert_series_equal(series_xp, series_rs)
 
 
+@pytest.mark.slow
 @pytest.mark.parametrize("roll_func", ["kurt", "skew"])
 def test_center_reindex_frame(frame, roll_func):
     # shifter index