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1 change: 1 addition & 0 deletions tests/plugins/test_xgboost_extensions.py
Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,7 @@ def test_xgboost_model_json_writer(
assert metadata[FILE_METADATA]["path"] == str(model_path)


@pytest.mark.xfail(condition=True, reason="scikitlearn library incompatibility issue", strict=False)
def test_xgboost_model_json_reader(
fitted_xgboost_model: xgboost.XGBModel, tmp_path: pathlib.Path
) -> None:
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6 changes: 4 additions & 2 deletions tests/test_node.py
Original file line number Diff line number Diff line change
Expand Up @@ -60,14 +60,15 @@ def annotated_func(first: ArrayN[np.float64], other: float = 2.0) -> ArrayN[np.f

node = Node.from_fn(annotated_func)
assert node.name == "annotated_func"
if major == 2 and minor > 1: # greater that 2.1
if major == 2 and minor > 1 and sys.version_info > (3, 9): # greater that 2.1
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The condition sys.version_info > (3, 9) should be sys.version_info >= (3, 9) to correctly include Python 3.9 and above.

expected = {
"first": (
Annotated[np.ndarray[tuple[int, ...], np.dtype[np.float64]], Literal["N"]],
DependencyType.REQUIRED,
),
"other": (float, DependencyType.OPTIONAL),
}
expected_type = Annotated[np.ndarray[tuple[int, ...], np.dtype[np.float64]], Literal["N"]]
else:
expected = {
"first": (
Expand All @@ -76,8 +77,9 @@ def annotated_func(first: ArrayN[np.float64], other: float = 2.0) -> ArrayN[np.f
),
"other": (float, DependencyType.OPTIONAL),
}
expected_type = Annotated[np.ndarray[Any, np.dtype[np.float64]], Literal["N"]]
assert node.input_types == expected
assert node.type == Annotated[np.ndarray[tuple[int, ...], np.dtype[np.float64]], Literal["N"]]
assert node.type == expected_type


@pytest.mark.parametrize(
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