fix[rust]: don't unwrap if lp has no input (#4909)

polars/polars-lazy/src/logical_plan/optimizer/simplify_expr.rs

@@ -303,7 +303,7 @@ fn string_addition_to_linear_concat(
 ) -> Option<AExpr> {
     {
         let lp = lp_arena.get(lp_node);
-        let input = lp.get_input().unwrap();
+        let input = lp.get_input()?;
         let schema = lp_arena.get(input).schema(lp_arena);
 
         let get_type = |ae: &AExpr| ae.get_type(&schema, Context::Default, expr_arena).ok();

py-polars/polars/internals/expr/expr.py

@@ -49,7 +49,10 @@
 
 
 def selection_to_pyexpr_list(
-    exprs: str | Expr | pli.Series | Sequence[str | Expr | pli.Series],
+    exprs: str
+    | Expr
+    | pli.Series
+    | Sequence[str | Expr | pli.Series | date | datetime | int | float],
 ) -> list[PyExpr]:
     if isinstance(exprs, (str, Expr, pli.Series)):
         exprs = [exprs]

py-polars/polars/internals/lazy_functions.py

@@ -346,7 +346,9 @@ def max(column: str | Sequence[pli.Expr | str] | pli.Series) -> pli.Expr | Any:
 
 
 @overload
-def min(column: str | Sequence[pli.Expr | str]) -> pli.Expr:
+def min(
+    column: str | Sequence[pli.Expr | str | date | datetime | int | float],
+) -> pli.Expr:
     ...
 
 
@@ -355,7 +357,9 @@ def min(column: pli.Series) -> int | float:
     ...
 
 
-def min(column: str | Sequence[pli.Expr | str] | pli.Series) -> pli.Expr | Any:
+def min(
+    column: str | Sequence[pli.Expr | str | date | datetime | int | float] | pli.Series,
+) -> pli.Expr | Any:
     """
     Get the minimum value.
 

py-polars/tests/unit/test_predicates.py

@@ -0,0 +1,21 @@
+from datetime import date, timedelta
+
+import polars as pl
+
+
+def test_predicate_4906() -> None:
+    one_day = timedelta(days=1)
+
+    ldf = pl.DataFrame(
+        {
+            "dt": [
+                date(2022, 9, 1),
+                date(2022, 9, 10),
+                date(2022, 9, 20),
+            ]
+        }
+    ).lazy()
+
+    assert ldf.filter(
+        pl.min([(pl.col("dt") + one_day), date(2022, 9, 30)]) > date(2022, 9, 10)
+    ).collect().to_dict(False) == {"dt": [date(2022, 9, 10), date(2022, 9, 20)]}