`.alias()` causes `ComputeError` when applied to expression in GroupBy context `agg()` about polars HOT 2 CLOSED

(pl.read_csv("sales_data.csv").head(1000)
    .select("Country", "Profit")
    .group_by("Country")
    .agg(
        (pl.col("Profit") > 1000).alias("Profit > 1000")
    )
)
# ComputeError: returned aggregation is of different length: 125 than the groups length: 6

>>> df.group_by("Country").agg(col("Profit"))
shape: (6, 2)
┌────────────────┬─────────────────────┐
│ Country        ┆ Profit              │
│ ---            ┆ ---                 │
│ str            ┆ list[i64]           │
╞════════════════╪═════════════════════╡
│ Canada         ┆ [590, 590, … 630]   │
│ Germany        ┆ [160, 53, … 746]    │
│ Australia      ┆ [1366, 1188, … 655] │
│ United Kingdom ┆ [1053, 1053, … 112] │
│ France         ┆ [427, 427, … 655]   │
│ United States  ┆ [524, 407, … 542]   │
└────────────────┴─────────────────────┘

df.group_by("Country").agg(col("Profit") > 1000))
shape: (6, 2)
┌────────────────┬─────────────────────────┐
│ Country        ┆ Profit                  │
│ ---            ┆ ---                     │
│ str            ┆ list[bool]              │
╞════════════════╪═════════════════════════╡
│ Germany        ┆ [false, false, … false] │
│ United States  ┆ [false, false, … false] │
│ United Kingdom ┆ [true, true, … false]   │
│ Canada         ┆ [false, false, … false] │
│ France         ┆ [false, false, … false] │
│ Australia      ┆ [true, true, … false]   │
└────────────────┴─────────────────────────┘

df.group_by("Country").agg((col("Profit") > 1000).alias("test"))