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fix: fix license classifier (#1751)
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MarcoGorelli authored Jan 7, 2025
1 parent 320d6bc commit 44dd8d8
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Showing 4 changed files with 4 additions and 1 deletion.
2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -14,8 +14,8 @@ authors = [
description = "Extremely lightweight compatibility layer between dataframe libraries"
readme = "README.md"
keywords = ["dataframes", "interoperability", "pandas", "polars", "pyarrow", "dask", "modin", "cudf"]
license = {file = "LICENSE.md"}
classifiers = [
"License :: OSI Approved :: MIT License",
"Programming Language :: Python",
"Operating System :: OS Independent",
]
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1 change: 1 addition & 0 deletions tests/expr_and_series/rolling_mean_test.py
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Expand Up @@ -76,6 +76,7 @@ def test_rolling_mean_series(constructor_eager: ConstructorEager) -> None:
@pytest.mark.skipif(PANDAS_VERSION < (1,), reason="too old for pyarrow")
@pytest.mark.slow
@pytest.mark.filterwarnings("ignore:.*:narwhals.exceptions.NarwhalsUnstableWarning")
@pytest.mark.filterwarnings("ignore:.*is_sparse is deprecated:DeprecationWarning")
def test_rolling_mean_hypothesis(center: bool, values: list[float]) -> None: # noqa: FBT001
s = pd.Series(values)
n_missing = random.randint(0, len(s) - 1) # noqa: S311
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1 change: 1 addition & 0 deletions tests/expr_and_series/rolling_sum_test.py
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Expand Up @@ -194,6 +194,7 @@ def test_rolling_sum_series_invalid_params(
)
@pytest.mark.skipif(PANDAS_VERSION < (1,), reason="too old for pyarrow")
@pytest.mark.filterwarnings("ignore:.*:narwhals.exceptions.NarwhalsUnstableWarning")
@pytest.mark.filterwarnings("ignore:.*is_sparse is deprecated:DeprecationWarning")
@pytest.mark.slow
def test_rolling_sum_hypothesis(center: bool, values: list[float]) -> None: # noqa: FBT001
s = pd.Series(values)
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1 change: 1 addition & 0 deletions tests/expr_and_series/rolling_var_test.py
Original file line number Diff line number Diff line change
Expand Up @@ -105,6 +105,7 @@ def test_rolling_var_series(
)
@pytest.mark.skipif(PANDAS_VERSION < (1,), reason="too old for pyarrow")
@pytest.mark.skipif(POLARS_VERSION < (1,), reason="different null behavior")
@pytest.mark.filterwarnings("ignore:.*is_sparse is deprecated:DeprecationWarning")
@pytest.mark.filterwarnings("ignore:.*:narwhals.exceptions.NarwhalsUnstableWarning")
def test_rolling_var_hypothesis(center: bool, values: list[float]) -> None: # noqa: FBT001
s = pd.Series(values)
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