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test(python,rust): Refactor failing test (#9823)
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stinodego authored Jul 12, 2023
1 parent da2af6a commit 6812c65
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Showing 2 changed files with 83 additions and 59 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -515,27 +515,28 @@ fn early_escape(type_self: &DataType, type_other: &DataType) -> Option<()> {
}
}

#[cfg(test)]
#[cfg(feature = "dtype-categorical")]
mod test {
use polars_core::prelude::*;

use super::*;
use crate::prelude::*;

#[test]
fn test_categorical_utf8() {
let mut rules: Vec<Box<dyn OptimizationRule>> = vec![Box::new(TypeCoercionRule {})];
let schema = Schema::from_iter([Field::new("fruits", DataType::Categorical(None))]);

let expr = col("fruits").eq(lit("somestr"));
let out = optimize_expr(expr.clone(), schema.clone(), &mut rules);
// we test that the fruits column is not casted to utf8 for the comparison
assert_eq!(out, expr);

let expr = col("fruits") + (lit("somestr"));
let out = optimize_expr(expr, schema, &mut rules);
let expected = col("fruits").cast(DataType::Utf8) + lit("somestr");
assert_eq!(out, expected);
}
}
// TODO: Fix this test and re-enable it (currently does not compile)
// #[cfg(test)]
// #[cfg(feature = "dtype-categorical")]
// mod test {
// use polars_core::prelude::*;

// use super::*;
// use crate::prelude::*;

// #[test]
// fn test_categorical_utf8() {
// let mut rules: Vec<Box<dyn OptimizationRule>> = vec![Box::new(TypeCoercionRule {})];
// let schema = Schema::from_iter([Field::new("fruits", DataType::Categorical(None))]);

// let expr = col("fruits").eq(lit("somestr"));
// let out = optimize_expr(expr.clone(), schema.clone(), &mut rules);
// // we test that the fruits column is not casted to utf8 for the comparison
// assert_eq!(out, expr);

// let expr = col("fruits") + (lit("somestr"));
// let out = optimize_expr(expr, schema, &mut rules);
// let expected = col("fruits").cast(DataType::Utf8) + lit("somestr");
// assert_eq!(out, expected);
// }
// }
93 changes: 58 additions & 35 deletions py-polars/tests/unit/streaming/test_streaming.py
Original file line number Diff line number Diff line change
Expand Up @@ -381,61 +381,84 @@ def test_streaming_sort(monkeypatch: Any, capfd: Any) -> None:
assert "df -> sort" in err


@pytest.mark.write_disk()
def test_streaming_groupby_ooc(monkeypatch: Any) -> None:
@pytest.fixture(scope="module")
def random_integers() -> pl.Series:
np.random.seed(1)
s = pl.Series("a", np.random.randint(0, 10, 100))
return pl.Series("a", np.random.randint(0, 10, 100), dtype=pl.Int64)

for env in ["POLARS_FORCE_OOC", "_NO_OP"]:
monkeypatch.setenv(env, "1")
q = (
s.to_frame()
.lazy()
.groupby("a")
.agg(pl.first("a").alias("a_first"), pl.last("a").alias("a_last"))
.sort("a")
)

assert q.collect(streaming=True).to_dict(False) == {
@pytest.mark.write_disk()
def test_streaming_groupby_ooc_q1(monkeypatch: Any, random_integers: pl.Series) -> None:
s = random_integers
monkeypatch.setenv("POLARS_FORCE_OOC", "1")

result = (
s.to_frame()
.lazy()
.groupby("a")
.agg(pl.first("a").alias("a_first"), pl.last("a").alias("a_last"))
.sort("a")
.collect(streaming=True)
)

expected = pl.DataFrame(
{
"a": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
"a_first": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
"a_last": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
}
)
assert_frame_equal(result, expected)

q = (
s.cast(str)
.to_frame()
.lazy()
.groupby("a")
.agg(pl.first("a").alias("a_first"), pl.last("a").alias("a_last"))
.sort("a")
)

assert q.collect(streaming=True).to_dict(False) == {
@pytest.mark.write_disk()
def test_streaming_groupby_ooc_q2(monkeypatch: Any, random_integers: pl.Series) -> None:
s = random_integers
monkeypatch.setenv("POLARS_FORCE_OOC", "1")

result = (
s.cast(str)
.to_frame()
.lazy()
.groupby("a")
.agg(pl.first("a").alias("a_first"), pl.last("a").alias("a_last"))
.sort("a")
.collect(streaming=True)
)

expected = pl.DataFrame(
{
"a": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"],
"a_first": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"],
"a_last": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"],
}
)
assert_frame_equal(result, expected)

q = (
pl.DataFrame(
{
"a": s,
"b": s.rename("b"),
}
)
.lazy()
.groupby(["a", "b"])
.agg(pl.first("a").alias("a_first"), pl.last("a").alias("a_last"))
.sort("a")
)

assert q.collect(streaming=True).to_dict(False) == {
@pytest.mark.write_disk()
def test_streaming_groupby_ooc_q3(monkeypatch: Any, random_integers: pl.Series) -> None:
s = random_integers
monkeypatch.setenv("POLARS_FORCE_OOC", "1")

result = (
pl.DataFrame({"a": s, "b": s})
.lazy()
.groupby(["a", "b"])
.agg(pl.first("a").alias("a_first"), pl.last("a").alias("a_last"))
.sort("a")
.collect(streaming=True)
)

expected = pl.DataFrame(
{
"a": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
"b": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
"a_first": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
"a_last": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
}
)
assert_frame_equal(result, expected)


def test_streaming_groupby_struct_key() -> None:
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