def test_to_python():
a = Series("a", range(20))
b = a.to_list()
assert isinstance(b, list)
assert len(b) == 20
a = Series("a", [1, None, 2], nullable=True)
assert a.null_count() == 1
assert a.to_list() == [1, None, 2]
def test_strategy_null_probability(
s: pl.Series,
df1: pl.DataFrame,
df2: pl.DataFrame,
df3: pl.DataFrame,
) -> None:
for obj in (s, df1, df2, df3):
assert len(obj) == 50 # type: ignore[arg-type]
assert s.null_count() < df1.null_count().fold(sum).sum()
assert df1.null_count().fold(sum).sum() < df2.null_count().fold(sum).sum()
assert df2.null_count().fold(sum).sum() < df3.null_count().fold(sum).sum()
nulls_col0, nulls_col1 = df2.null_count().rows()[0]
assert nulls_col0 > nulls_col1
assert nulls_col0 < 50
nulls_col0, nulls_colx = df3.null_count().rows()[0]
assert nulls_col0 > nulls_colx
assert nulls_col0 == 50