From b3920fb8a51d12dbfcbaaabc96c56f3a52e098ba Mon Sep 17 00:00:00 2001 From: Matthew Roeschke Date: Fri, 19 Nov 2021 21:26:03 -0800 Subject: [PATCH] TST: Address numba warnings in test suite --- pandas/tests/groupby/aggregate/test_numba.py | 4 ++-- pandas/tests/groupby/test_numba.py | 2 +- pandas/tests/groupby/transform/test_numba.py | 4 ++-- pandas/tests/window/test_numba.py | 4 ++-- pandas/tests/window/test_online.py | 2 +- 5 files changed, 8 insertions(+), 8 deletions(-) diff --git a/pandas/tests/groupby/aggregate/test_numba.py b/pandas/tests/groupby/aggregate/test_numba.py index 8e9df8a6da958..e7fa2e0690066 100644 --- a/pandas/tests/groupby/aggregate/test_numba.py +++ b/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"]) diff --git a/pandas/tests/groupby/test_numba.py b/pandas/tests/groupby/test_numba.py index 98156ae6a63ca..20fd02b21a744 100644 --- a/pandas/tests/groupby/test_numba.py +++ b/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): diff --git a/pandas/tests/groupby/transform/test_numba.py b/pandas/tests/groupby/transform/test_numba.py index 503de5ebd2330..4e1b777296d5b 100644 --- a/pandas/tests/groupby/transform/test_numba.py +++ b/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"]) diff --git a/pandas/tests/window/test_numba.py b/pandas/tests/window/test_numba.py index 9fd4bd422178a..ad291344fd6ed 100644 --- a/pandas/tests/window/test_numba.py +++ b/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): diff --git a/pandas/tests/window/test_online.py b/pandas/tests/window/test_online.py index a21be0b8be049..80cf1c55958ee 100644 --- a/pandas/tests/window/test_online.py +++ b/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)})