feat(python): Hide polars.testing.* in pytest stack traces

py-polars/polars/testing/asserts/frame.py

@@ -85,6 +85,8 @@ def assert_frame_equal(
     ...
     AssertionError: values for column 'a' are different
     """
+    __tracebackhide__ = True
+
     lazy = _assert_correct_input_type(left, right)
     objects = "LazyFrames" if lazy else "DataFrames"
 
@@ -132,6 +134,8 @@ def assert_frame_equal(
 def _assert_correct_input_type(
     left: DataFrame | LazyFrame, right: DataFrame | LazyFrame
 ) -> bool:
+    __tracebackhide__ = True
+
     if isinstance(left, DataFrame) and isinstance(right, DataFrame):
         return False
     elif isinstance(left, LazyFrame) and isinstance(right, LazyFrame):
@@ -153,6 +157,8 @@ def _assert_frame_schema_equal(
     check_column_order: bool,
     objects: str,
 ) -> None:
+    __tracebackhide__ = True
+
     left_schema, right_schema = left.schema, right.schema
 
     # Fast path for equal frames
@@ -253,6 +259,8 @@ def assert_frame_not_equal(
     ...
     AssertionError: frames are equal
     """
+    __tracebackhide__ = True
+
     try:
         assert_frame_equal(
             left=left,

py-polars/polars/testing/asserts/series.py

@@ -83,6 +83,8 @@ def assert_series_equal(
     [left]:  [1, 2, 3]
     [right]: [1, 5, 3]
     """
+    __tracebackhide__ = True
+
     if not (isinstance(left, Series) and isinstance(right, Series)):  # type: ignore[redundant-expr]
         raise_assertion_error(
             "inputs",
@@ -119,6 +121,8 @@ def _assert_series_values_equal(
     atol: float,
     categorical_as_str: bool,
 ) -> None:
+    __tracebackhide__ = True
+
     """Assert that the values in both Series are equal."""
     # Handle categoricals
     if categorical_as_str:
@@ -191,6 +195,8 @@ def _assert_series_nested_values_equal(
     atol: float,
     categorical_as_str: bool,
 ) -> None:
+    __tracebackhide__ = True
+
     # compare nested lists element-wise
     if _comparing_lists(left.dtype, right.dtype):
         for s1, s2 in zip(left, right):
@@ -221,6 +227,7 @@ def _assert_series_nested_values_equal(
 
 
 def _assert_series_null_values_match(left: Series, right: Series) -> None:
+    __tracebackhide__ = True
     null_value_mismatch = left.is_null() != right.is_null()
     if null_value_mismatch.any():
         raise_assertion_error(
@@ -229,6 +236,7 @@ def _assert_series_null_values_match(left: Series, right: Series) -> None:
 
 
 def _assert_series_nan_values_match(left: Series, right: Series) -> None:
+    __tracebackhide__ = True
     if not _comparing_floats(left.dtype, right.dtype):
         return
     nan_value_mismatch = left.is_nan() != right.is_nan()
@@ -270,6 +278,8 @@ def _assert_series_values_within_tolerance(
     rtol: float,
     atol: float,
 ) -> None:
+    __tracebackhide__ = True
+
     left_unequal, right_unequal = left.filter(unequal), right.filter(unequal)
 
     difference = (left_unequal - right_unequal).abs()
@@ -339,6 +349,8 @@ def assert_series_not_equal(
     ...
     AssertionError: Series are equal
     """
+    __tracebackhide__ = True
+
     try:
         assert_series_equal(
             left=left,

py-polars/tests/unit/testing/test_assert_frame_equal.py

@@ -10,6 +10,7 @@
 from polars.testing import assert_frame_equal, assert_frame_not_equal
 
 nan = float("nan")
+pytest_plugins = ["pytester"]
 
 
 @pytest.mark.parametrize(
@@ -366,3 +367,66 @@ def test_assert_frame_not_equal() -> None:
     df = pl.DataFrame({"a": [1, 2]})
     with pytest.raises(AssertionError, match="frames are equal"):
         assert_frame_not_equal(df, df)
+
+
+def test_tracebackhide(testdir: pytest.Testdir) -> None:
+    testdir.makefile(
+        ".py",
+        test_path="""\
+import polars as pl
+from polars.testing import assert_frame_equal, assert_frame_not_equal
+
+def test_frame_equal_fail():
+    df1 = pl.DataFrame({"a": [1, 2]})
+    df2 = pl.DataFrame({"a": [1, 3]})
+    assert_frame_equal(df1, df2)
+
+def test_frame_not_equal_fail():
+    df1 = pl.DataFrame({"a": [1, 2]})
+    df2 = pl.DataFrame({"a": [1, 2]})
+    assert_frame_not_equal(df1, df2)
+
+def test_frame_data_type_fail():
+    df1 = pl.DataFrame({"a": [1, 2]})
+    df2 = {"a": [1, 2]}
+    assert_frame_equal(df1, df2)
+
+def test_frame_schema_fail():
+    df1 = pl.DataFrame({"a": [1, 2]}, {"a": pl.Int64})
+    df2 = pl.DataFrame({"a": [1, 2]}, {"a": pl.Int32})
+    assert_frame_equal(df1, df2)
+""",
+    )
+    result = testdir.runpytest()
+    result.assert_outcomes(passed=0, failed=4)
+    stdout = "\n".join(result.outlines)
+
+    assert "polars/py-polars/polars/testing" not in stdout
+
+    # The above should catch any polars testing functions that appear in the
+    # stack trace.  But we keep the following checks (for specific function
+    # names) just to double-check.
+
+    assert "def assert_frame_equal" not in stdout
+    assert "def assert_frame_not_equal" not in stdout
+    assert "def _assert_correct_input_type" not in stdout
+    assert "def _assert_frame_schema_equal" not in stdout
+
+    assert "def assert_series_equal" not in stdout
+    assert "def assert_series_not_equal" not in stdout
+    assert "def _assert_series_values_equal" not in stdout
+    assert "def _assert_series_nested_values_equal" not in stdout
+    assert "def _assert_series_null_values_match" not in stdout
+    assert "def _assert_series_nan_values_match" not in stdout
+    assert "def _assert_series_values_within_tolerance" not in stdout
+
+    # Make sure the tests are failing for the expected reason (e.g. not because
+    # an import is missing or something like that):
+
+    assert (
+        "AssertionError: DataFrames are different (value mismatch for column 'a')"
+        in stdout
+    )
+    assert "AssertionError: frames are equal" in stdout
+    assert "AssertionError: inputs are different (unexpected input types)" in stdout
+    assert "AssertionError: DataFrames are different (dtypes do not match)" in stdout

py-polars/tests/unit/testing/test_assert_series_equal.py

@@ -11,6 +11,7 @@
 from polars.testing import assert_series_equal, assert_series_not_equal
 
 nan = float("nan")
+pytest_plugins = ["pytester"]
 
 
 def test_compare_series_value_mismatch() -> None:
@@ -636,3 +637,81 @@ def test_assert_series_equal_w_large_integers_12328() -> None:
     right = pl.Series([1577840521123543])
     with pytest.raises(AssertionError):
         assert_series_equal(left, right)
+
+
+def test_tracebackhide(testdir: pytest.Testdir) -> None:
+    testdir.makefile(
+        ".py",
+        test_path="""\
+import polars as pl
+from polars.testing import assert_series_equal, assert_series_not_equal
+
+nan = float("nan")
+
+def test_series_equal_fail():
+    s1 = pl.Series([1, 2])
+    s2 = pl.Series([1, 3])
+    assert_series_equal(s1, s2)
+
+def test_series_not_equal_fail():
+    s1 = pl.Series([1, 2])
+    s2 = pl.Series([1, 2])
+    assert_series_not_equal(s1, s2)
+
+def test_series_nested_fail():
+    s1 = pl.Series([[1, 2], [3, 4]])
+    s2 = pl.Series([[1, 2], [3, 5]])
+    assert_series_equal(s1, s2)
+
+def test_series_null_fail():
+    s1 = pl.Series([1, 2])
+    s2 = pl.Series([1, None])
+    assert_series_equal(s1, s2)
+
+def test_series_nan_fail():
+    s1 = pl.Series([1.0, 2.0])
+    s2 = pl.Series([1.0, nan])
+    assert_series_equal(s1, s2)
+
+def test_series_float_tolerance_fail():
+    s1 = pl.Series([1.0, 2.0])
+    s2 = pl.Series([1.0, 2.1])
+    assert_series_equal(s1, s2)
+
+def test_series_schema_fail():
+    s1 = pl.Series([1, 2], dtype=pl.Int64)
+    s2 = pl.Series([1, 2], dtype=pl.Int32)
+    assert_series_equal(s1, s2)
+
+def test_series_data_type_fail():
+    s1 = pl.Series([1, 2])
+    s2 = [1, 2]
+    assert_series_equal(s1, s2)
+""",
+    )
+    result = testdir.runpytest()
+    result.assert_outcomes(passed=0, failed=8)
+    stdout = "\n".join(result.outlines)
+
+    assert "polars/py-polars/polars/testing" not in stdout
+
+    # The above should catch any polars testing functions that appear in the
+    # stack trace.  But we keep the following checks (for specific function
+    # names) just to double-check.
+
+    assert "def assert_series_equal" not in stdout
+    assert "def assert_series_not_equal" not in stdout
+    assert "def _assert_series_values_equal" not in stdout
+    assert "def _assert_series_nested_values_equal" not in stdout
+    assert "def _assert_series_null_values_match" not in stdout
+    assert "def _assert_series_nan_values_match" not in stdout
+    assert "def _assert_series_values_within_tolerance" not in stdout
+
+    # Make sure the tests are failing for the expected reason (e.g. not because
+    # an import is missing or something like that):
+
+    assert "AssertionError: Series are different (exact value mismatch)" in stdout
+    assert "AssertionError: Series are equal" in stdout
+    assert "AssertionError: Series are different (nan value mismatch)" in stdout
+    assert "AssertionError: Series are different (dtype mismatch)" in stdout
+    assert "AssertionError: inputs are different (unexpected input types)" in stdout