[SPARK-50762][SQL][TEST][FOLLOWUP][4.0] Regenerate sql-udf.sql.out

### What changes were proposed in this pull request?

This is a follow-up of #50898 for branch-4.0.
- #50898

### Why are the changes needed?

#50898 broke `branch-4.0` CIs.
- https://github.com/apache/spark/actions/runs/15070364465/job/42364916342
- https://github.com/apache/spark/actions/runs/15070303045/job/42364700177
- https://github.com/apache/spark/actions/runs/15070364465/job/42364916342

```
- sql-udf.sql_analyzer_test *** FAILED ***
  sql-udf.sql_analyzer_test
  Expected "...g.default.foo3_1b(c2[))#xL > cast(0 as bigint))
     +- Project [c1#x, count(1)#xL, spark_catalog.default.foo3_1b(x#x) AS spark_catalog.default.foo3_1b(sum(c2))#x, sum(spark_catalog.default.foo3_1b(c2))#xL]
        +- Project [c1#x, count(1)#xL, sum(c2)#xL, sum(spark_catalog.default.foo3_1b(c2))#xL, cast(sum(c2)#xL as int) AS x#x]
           +- Aggregate [c1#x], [c1#x, count(1) AS count(1)#xL, sum(c2#x) AS sum(c2)#xL, sum(spark_catalog.default.foo3_1b(x#x)) AS sum(spark_catalog.default.foo3_1b(c2]))#xL]
              +...", but got "...g.default.foo3_1b(c2[#x))#xL > cast(0 as bigint))
     +- Project [c1#x, count(1)#xL, spark_catalog.default.foo3_1b(x#x) AS spark_catalog.default.foo3_1b(sum(c2))#x, sum(spark_catalog.default.foo3_1b(c2#x))#xL]
        +- Project [c1#x, count(1)#xL, sum(c2)#xL, sum(spark_catalog.default.foo3_1b(c2#x))#xL, cast(sum(c2)#xL as int) AS x#x]
           +- Aggregate [c1#x], [c1#x, count(1) AS count(1)#xL, sum(c2#x) AS sum(c2)#xL, sum(spark_catalog.default.foo3_1b(x#x)) AS sum(spark_catalog.default.foo3_1b(c2#x]))#xL]
              +..." Result did not match for query #152
  SELECT c1, COUNT(*), foo3_1b(SUM(c2)) FROM t1 GROUP BY c1 HAVING SUM(foo3_1b(c2)) > 0 (SQLQueryTestSuite.scala:683)
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #50928 from dongjoon-hyun/SPARK-50762.

Authored-by: Dongjoon Hyun <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>

Author: dongjoon-hyun

sql/core/src/test/resources/sql-tests/analyzer-results/sql-udf.sql.out

@@ -1832,10 +1832,10 @@ Filter (spark_catalog.default.foo3_1b(sum(c2))#x > 0)
 SELECT c1, COUNT(*), foo3_1b(SUM(c2)) FROM t1 GROUP BY c1 HAVING SUM(foo3_1b(c2)) > 0
 -- !query analysis
 Project [c1#x, count(1)#xL, spark_catalog.default.foo3_1b(sum(c2))#x]
-+- Filter (sum(spark_catalog.default.foo3_1b(c2))#xL > cast(0 as bigint))
-   +- Project [c1#x, count(1)#xL, spark_catalog.default.foo3_1b(x#x) AS spark_catalog.default.foo3_1b(sum(c2))#x, sum(spark_catalog.default.foo3_1b(c2))#xL]
-      +- Project [c1#x, count(1)#xL, sum(c2)#xL, sum(spark_catalog.default.foo3_1b(c2))#xL, cast(sum(c2)#xL as int) AS x#x]
-         +- Aggregate [c1#x], [c1#x, count(1) AS count(1)#xL, sum(c2#x) AS sum(c2)#xL, sum(spark_catalog.default.foo3_1b(x#x)) AS sum(spark_catalog.default.foo3_1b(c2))#xL]
++- Filter (sum(spark_catalog.default.foo3_1b(c2#x))#xL > cast(0 as bigint))
+   +- Project [c1#x, count(1)#xL, spark_catalog.default.foo3_1b(x#x) AS spark_catalog.default.foo3_1b(sum(c2))#x, sum(spark_catalog.default.foo3_1b(c2#x))#xL]
+      +- Project [c1#x, count(1)#xL, sum(c2)#xL, sum(spark_catalog.default.foo3_1b(c2#x))#xL, cast(sum(c2)#xL as int) AS x#x]
+         +- Aggregate [c1#x], [c1#x, count(1) AS count(1)#xL, sum(c2#x) AS sum(c2)#xL, sum(spark_catalog.default.foo3_1b(x#x)) AS sum(spark_catalog.default.foo3_1b(c2#x))#xL]
             +- Project [c1#x, c2#x, cast(c2#x as int) AS x#x]
                +- SubqueryAlias spark_catalog.default.t1
                   +- View (`spark_catalog`.`default`.`t1`, [c1#x, c2#x])
@@ -2141,9 +2141,9 @@ Project [spark_catalog.default.foo3_1b(c1)#x, sum(c2)#xL]
 -- !query
 SELECT foo3_1b(c1), c2, GROUPING(foo3_1b(c1)), SUM(c1) FROM t1 GROUP BY ROLLUP(foo3_1b(c1), c2)
 -- !query analysis
-Aggregate [spark_catalog.default.foo3_1b(c1)#x, c2#x, spark_grouping_id#xL], [spark_catalog.default.foo3_1b(c1)#x AS spark_catalog.default.foo3_1b(c1)#x, c2#x, cast((shiftright(spark_grouping_id#xL, 1) & 1) as tinyint) AS grouping(spark_catalog.default.foo3_1b(c1))#x, sum(c1#x) AS sum(c1)#xL]
-+- Expand [[c1#x, c2#x, spark_catalog.default.foo3_1b(c1)#x, c2#x, 0], [c1#x, c2#x, spark_catalog.default.foo3_1b(c1)#x, null, 1], [c1#x, c2#x, null, null, 3]], [c1#x, c2#x, spark_catalog.default.foo3_1b(c1)#x, c2#x, spark_grouping_id#xL]
-   +- Project [c1#x, c2#x, spark_catalog.default.foo3_1b(x#x) AS spark_catalog.default.foo3_1b(c1)#x, c2#x AS c2#x]
+Aggregate [spark_catalog.default.foo3_1b(c1#x)#x, c2#x, spark_grouping_id#xL], [spark_catalog.default.foo3_1b(c1#x)#x AS spark_catalog.default.foo3_1b(c1)#x, c2#x, cast((shiftright(spark_grouping_id#xL, 1) & 1) as tinyint) AS grouping(spark_catalog.default.foo3_1b(c1))#x, sum(c1#x) AS sum(c1)#xL]
++- Expand [[c1#x, c2#x, spark_catalog.default.foo3_1b(c1#x)#x, c2#x, 0], [c1#x, c2#x, spark_catalog.default.foo3_1b(c1#x)#x, null, 1], [c1#x, c2#x, null, null, 3]], [c1#x, c2#x, spark_catalog.default.foo3_1b(c1#x)#x, c2#x, spark_grouping_id#xL]
+   +- Project [c1#x, c2#x, spark_catalog.default.foo3_1b(x#x) AS spark_catalog.default.foo3_1b(c1#x)#x, c2#x AS c2#x]
       +- Project [c1#x, c2#x, cast(c1#x as int) AS x#x]
          +- SubqueryAlias spark_catalog.default.t1
             +- View (`spark_catalog`.`default`.`t1`, [c1#x, c2#x])
@@ -2932,7 +2932,7 @@ Project [spark_catalog.default.foo3_2e1(occurrences#x, instance_start_time#x) AS
 :     :        +- OneRowRelation
 :     +- Project [CASE WHEN (isnull(outer(occurrences#x)) OR (size(outer(occurrences#x), false) = 0)) THEN cast(null as string) ELSE sort_array(diffs#x, true)[0].id END AS id#x]
 :        +- SubqueryAlias t
-:           +- CTERelationRef xxxx, true, [diffs#x], false, false, 1
+:           +- CTERelationRef xxxx, true, [diffs#x], false, false
 +- Project [cast(array(struct(col1, 2022-01-01 10:11:12, col2, 1), struct(col1, 2022-01-01 10:11:15, col2, 2)) as array<struct<start_time:timestamp,occurrence_id:string>>) AS occurrences#x, cast(2022-01-01 as timestamp) AS instance_start_time#x]
    +- OneRowRelation