TST: Address numba warnings in test suite (#44535)

Author: mroeschke

pandas/tests/groupby/aggregate/test_numba.py

@@ -48,7 +48,7 @@ def incorrect_function(x, **kwargs):
 
 
 @td.skip_if_no("numba")
-@pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
+@pytest.mark.filterwarnings("ignore:\n")
 # Filter warnings when parallel=True and the function can't be parallelized by Numba
 @pytest.mark.parametrize("jit", [True, False])
 @pytest.mark.parametrize("pandas_obj", ["Series", "DataFrame"])
@@ -77,7 +77,7 @@ def func_numba(values, index):
 
 
 @td.skip_if_no("numba")
-@pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
+@pytest.mark.filterwarnings("ignore:\n")
 # Filter warnings when parallel=True and the function can't be parallelized by Numba
 @pytest.mark.parametrize("jit", [True, False])
 @pytest.mark.parametrize("pandas_obj", ["Series", "DataFrame"])

pandas/tests/groupby/test_numba.py

@@ -10,7 +10,7 @@
 
 
 @td.skip_if_no("numba")
-@pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
+@pytest.mark.filterwarnings("ignore:\n")
 # Filter warnings when parallel=True and the function can't be parallelized by Numba
 class TestEngine:
     def test_cython_vs_numba_frame(self, sort, nogil, parallel, nopython):

pandas/tests/groupby/transform/test_numba.py

@@ -45,7 +45,7 @@ def incorrect_function(x, **kwargs):
 
 
 @td.skip_if_no("numba")
-@pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
+@pytest.mark.filterwarnings("ignore:\n")
 # Filter warnings when parallel=True and the function can't be parallelized by Numba
 @pytest.mark.parametrize("jit", [True, False])
 @pytest.mark.parametrize("pandas_obj", ["Series", "DataFrame"])
@@ -74,7 +74,7 @@ def func(values, index):
 
 
 @td.skip_if_no("numba")
-@pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
+@pytest.mark.filterwarnings("ignore:\n")
 # Filter warnings when parallel=True and the function can't be parallelized by Numba
 @pytest.mark.parametrize("jit", [True, False])
 @pytest.mark.parametrize("pandas_obj", ["Series", "DataFrame"])

pandas/tests/window/test_numba.py

@@ -15,7 +15,7 @@
 
 
 @td.skip_if_no("numba")
-@pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
+@pytest.mark.filterwarnings("ignore:\n")
 # Filter warnings when parallel=True and the function can't be parallelized by Numba
 class TestEngine:
     @pytest.mark.parametrize("jit", [True, False])
@@ -265,7 +265,7 @@ def test_invalid_kwargs_nopython():
 
 @td.skip_if_no("numba")
 @pytest.mark.slow
-@pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
+@pytest.mark.filterwarnings("ignore:\n")
 # Filter warnings when parallel=True and the function can't be parallelized by Numba
 class TestTableMethod:
     def test_table_series_valueerror(self):

pandas/tests/window/test_online.py

@@ -11,7 +11,7 @@
 
 
 @td.skip_if_no("numba")
-@pytest.mark.filterwarnings("ignore:\\nThe keyword argument")
+@pytest.mark.filterwarnings("ignore:\n")
 class TestEWM:
     def test_invalid_update(self):
         df = DataFrame({"a": range(5), "b": range(5)})