[SPARK-44834][PYTHON][SQL][TESTS][FOLLOW-UP] Update the analyzer resu…

…lts of the udtf tests

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

This is a follow up for #42517.
We need to re-generate the analyzer results for udtf tests after #42519 is merged. Also updated PythonUDTFSuite after #42520 is merged.

### Why are the changes needed?

To fix test failures

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

No

### How was this patch tested?

Test only change

Closes #42543 from allisonwang-db/spark-44834-fix.

Authored-by: allisonwang-db <allison.wang@databricks.com>
Signed-off-by: Yuming Wang <yumwang@ebay.com>
(cherry picked from commit bb41cd8)
Signed-off-by: Yuming Wang <yumwang@ebay.com>

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

@@ -10,84 +10,49 @@ CreateViewCommand `t1`, VALUES (0, 1), (1, 2) t(c1, c2), false, true, LocalTempV
 -- !query
 SELECT * FROM udtf(1, 2)
 -- !query analysis
-Project [x#x, y#x]
-+- Generate TestUDTF(1, 2)#x, false, [x#x, y#x]
-   +- OneRowRelation
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT * FROM udtf(-1, 0)
 -- !query analysis
-Project [x#x, y#x]
-+- Generate TestUDTF(-1, 0)#x, false, [x#x, y#x]
-   +- OneRowRelation
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT * FROM udtf(0, -1)
 -- !query analysis
-Project [x#x, y#x]
-+- Generate TestUDTF(0, -1)#x, false, [x#x, y#x]
-   +- OneRowRelation
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT * FROM udtf(0, 0)
 -- !query analysis
-Project [x#x, y#x]
-+- Generate TestUDTF(0, 0)#x, false, [x#x, y#x]
-   +- OneRowRelation
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT a, b FROM udtf(1, 2) t(a, b)
 -- !query analysis
-Project [a#x, b#x]
-+- SubqueryAlias t
-   +- Project [x#x AS a#x, y#x AS b#x]
-      +- Generate TestUDTF(1, 2)#x, false, [x#x, y#x]
-         +- OneRowRelation
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT * FROM t1, LATERAL udtf(c1, c2)
 -- !query analysis
-Project [c1#x, c2#x, x#x, y#x]
-+- LateralJoin lateral-subquery#x [c1#x && c2#x], Inner
-   :  +- Generate TestUDTF(outer(c1#x), outer(c2#x))#x, false, [x#x, y#x]
-   :     +- OneRowRelation
-   +- SubqueryAlias t1
-      +- View (`t1`, [c1#x,c2#x])
-         +- Project [cast(c1#x as int) AS c1#x, cast(c2#x as int) AS c2#x]
-            +- SubqueryAlias t
-               +- LocalRelation [c1#x, c2#x]
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT * FROM t1 LEFT JOIN LATERAL udtf(c1, c2)
 -- !query analysis
-Project [c1#x, c2#x, x#x, y#x]
-+- LateralJoin lateral-subquery#x [c1#x && c2#x], LeftOuter
-   :  +- Generate TestUDTF(outer(c1#x), outer(c2#x))#x, false, [x#x, y#x]
-   :     +- OneRowRelation
-   +- SubqueryAlias t1
-      +- View (`t1`, [c1#x,c2#x])
-         +- Project [cast(c1#x as int) AS c1#x, cast(c2#x as int) AS c2#x]
-            +- SubqueryAlias t
-               +- LocalRelation [c1#x, c2#x]
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query
 SELECT * FROM udtf(1, 2) t(c1, c2), LATERAL udtf(c1, c2)
 -- !query analysis
-Project [c1#x, c2#x, x#x, y#x]
-+- LateralJoin lateral-subquery#x [c1#x && c2#x], Inner
-   :  +- Generate TestUDTF(outer(c1#x), outer(c2#x))#x, false, [x#x, y#x]
-   :     +- OneRowRelation
-   +- SubqueryAlias t
-      +- Project [x#x AS c1#x, y#x AS c2#x]
-         +- Generate TestUDTF(1, 2)#x, false, [x#x, y#x]
-            +- OneRowRelation
+[Analyzer test output redacted due to nondeterminism]
 
 
 -- !query

sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDTFSuite.scala

@@ -39,28 +39,15 @@ class PythonUDTFSuite extends QueryTest with SharedSparkSession {
       |        yield a, b, b - a
       |""".stripMargin
 
-  private val arrowPythonScript: String =
-    """
-      |import pandas as pd
-      |class VectorizedUDTF:
-      |    def eval(self, a: pd.Series, b: pd.Series):
-      |        data = [
-      |            [a, b, a + b],
-      |            [a, b, a - b],
-      |            [a, b, b - a],
-      |        ]
-      |        yield pd.DataFrame(data)
-      |""".stripMargin
-
   private val returnType: StructType = StructType.fromDDL("a int, b int, c int")
 
   private val pythonUDTF: UserDefinedPythonTableFunction =
     createUserDefinedPythonTableFunction("SimpleUDTF", pythonScript, returnType)
 
   private val arrowPythonUDTF: UserDefinedPythonTableFunction =
     createUserDefinedPythonTableFunction(
-      "VectorizedUDTF",
-      arrowPythonScript,
+      "SimpleUDTF",
+      pythonScript,
       returnType,
       evalType = PythonEvalType.SQL_ARROW_TABLE_UDF)