chore: Filter left join warning (#1753)

chore: ignore reverted warning

pyproject.toml

@@ -162,6 +162,8 @@ filterwarnings = [
   'ignore:.*You are using pyarrow version',
   # This warning was temporarily raised by pandas but then reverted.
   'ignore:.*Passing a BlockManager to DataFrame:DeprecationWarning',
+  # This warning was temporarily raised by Polars but then reverted.
+  'ignore:.*The default coalesce behavior of left join will change:DeprecationWarning',
 ]
 xfail_strict = true
 markers = ["slow: marks tests as slow (deselect with '-m \"not slow\"')"]

tests/frame/join_test.py

@@ -233,7 +233,6 @@ def test_join_not_implemented(constructor: Constructor, how: str) -> None:
         df.join(df, left_on="antananarivo", right_on="antananarivo", how=how)  # type: ignore[arg-type]
 
 
-@pytest.mark.filterwarnings("ignore:the default coalesce behavior")
 def test_left_join(constructor: Constructor) -> None:
     data_left = {
         "antananarivo": [1.0, 2, 3],
@@ -272,7 +271,6 @@ def test_left_join(constructor: Constructor) -> None:
     assert_equal_data(result_on_list, expected_on_list)
 
 
-@pytest.mark.filterwarnings("ignore: the default coalesce behavior")
 def test_left_join_multiple_column(constructor: Constructor) -> None:
     data_left = {"antananarivo": [1, 2, 3], "bob": [4, 5, 6], "index": [0, 1, 2]}
     data_right = {"antananarivo": [1, 2, 3], "c": [4, 5, 6], "index": [0, 1, 2]}
@@ -290,7 +288,6 @@ def test_left_join_multiple_column(constructor: Constructor) -> None:
     assert_equal_data(result, expected)
 
 
-@pytest.mark.filterwarnings("ignore: the default coalesce behavior")
 def test_left_join_overlapping_column(constructor: Constructor) -> None:
     data_left = {
         "antananarivo": [1.0, 2, 3],

tests/hypothesis/join_test.py

@@ -134,7 +134,6 @@ def test_cross_join(  # pragma: no cover
     ),
 )
 @pytest.mark.slow
-@pytest.mark.filterwarnings("ignore:the default coalesce behavior")
 def test_left_join(  # pragma: no cover
     a_left_data: list[int],
     b_left_data: list[int],

tests/spark_like_test.py

@@ -830,7 +830,6 @@ def test_semi_join(
     assert_equal_data(result, expected)
 
 
-@pytest.mark.filterwarnings("ignore:the default coalesce behavior")
 def test_left_join(pyspark_constructor: Constructor) -> None:
     data_left = {
         "antananarivo": [1.0, 2, 3],
@@ -874,7 +873,6 @@ def test_left_join(pyspark_constructor: Constructor) -> None:
     assert_equal_data(result_on_list, expected_on_list)
 
 
-@pytest.mark.filterwarnings("ignore: the default coalesce behavior")
 def test_left_join_multiple_column(pyspark_constructor: Constructor) -> None:
     data_left = {"antananarivo": [1, 2, 3], "bob": [4, 5, 6], "idx": [0, 1, 2]}
     data_right = {"antananarivo": [1, 2, 3], "c": [4, 5, 6], "idx": [0, 1, 2]}
@@ -894,7 +892,6 @@ def test_left_join_multiple_column(pyspark_constructor: Constructor) -> None:
     assert_equal_data(result, expected)
 
 
-@pytest.mark.filterwarnings("ignore: the default coalesce behavior")
 def test_left_join_overlapping_column(pyspark_constructor: Constructor) -> None:
     data_left = {
         "antananarivo": [1.0, 2, 3],