[SPARK-51937][SQL][TESTS] Re-generate golden files of postgreSQL/float4.sql and postgreSQL/int8.sql for Java 21

### What changes were proposed in this pull request?
This pr aims to Re-generate golden files of `postgreSQL/float4.sql` and `postgreSQL/int8.sql` for Java 21. apache#50604 forgot to generate them.

### Why are the changes needed?
Restore Java 21 daily test:
- master: https://github.com/apache/spark/actions/runs/14699959163/job/41247643789
- branch-4.0: https://github.com/apache/spark/actions/runs/14700610338/job/41249373892

![image](https://github.com/user-attachments/assets/4bfe3b14-d5a8-4428-928b-8a2e94287bb0)

![image](https://github.com/user-attachments/assets/ab725b03-2da6-4460-8cc7-759806965fbd)

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
- Pass Github Actions
- locally test with Java 21

### Was this patch authored or co-authored using generative AI tooling?
No

Closes apache#50740 from LuciferYang/SPARK-51817-FOLLOWUP.

Authored-by: yangjie01 <[email protected]>
Signed-off-by: yangjie01 <[email protected]>

Author: LuciferYang

sql/core/src/test/resources/sql-tests/results/postgreSQL/float4.sql.out.java21

@@ -97,6 +97,7 @@ org.apache.spark.SparkNumberFormatException
   "errorClass" : "CAST_INVALID_INPUT",
   "sqlState" : "22018",
   "messageParameters" : {
+    "ansiConfig" : "\"spark.sql.ansi.enabled\"",
     "expression" : "'N A N'",
     "sourceType" : "\"STRING\"",
     "targetType" : "\"FLOAT\""
@@ -121,6 +122,7 @@ org.apache.spark.SparkNumberFormatException
   "errorClass" : "CAST_INVALID_INPUT",
   "sqlState" : "22018",
   "messageParameters" : {
+    "ansiConfig" : "\"spark.sql.ansi.enabled\"",
     "expression" : "'NaN x'",
     "sourceType" : "\"STRING\"",
     "targetType" : "\"FLOAT\""
@@ -145,6 +147,7 @@ org.apache.spark.SparkNumberFormatException
   "errorClass" : "CAST_INVALID_INPUT",
   "sqlState" : "22018",
   "messageParameters" : {
+    "ansiConfig" : "\"spark.sql.ansi.enabled\"",
     "expression" : "' INFINITY    x'",
     "sourceType" : "\"STRING\"",
     "targetType" : "\"FLOAT\""
@@ -193,6 +196,7 @@ org.apache.spark.SparkNumberFormatException
   "errorClass" : "CAST_INVALID_INPUT",
   "sqlState" : "22018",
   "messageParameters" : {
+    "ansiConfig" : "\"spark.sql.ansi.enabled\"",
     "expression" : "'nan'",
     "sourceType" : "\"STRING\"",
     "targetType" : "\"DECIMAL(10,0)\""
@@ -389,6 +393,7 @@ org.apache.spark.SparkArithmeticException
   "errorClass" : "CAST_OVERFLOW",
   "sqlState" : "22003",
   "messageParameters" : {
+    "ansiConfig" : "\"spark.sql.ansi.enabled\"",
     "sourceType" : "\"FLOAT\"",
     "targetType" : "\"INT\"",
     "value" : "2.1474836E9"
@@ -414,6 +419,7 @@ org.apache.spark.SparkArithmeticException
   "errorClass" : "CAST_OVERFLOW",
   "sqlState" : "22003",
   "messageParameters" : {
+    "ansiConfig" : "\"spark.sql.ansi.enabled\"",
     "sourceType" : "\"FLOAT\"",
     "targetType" : "\"INT\"",
     "value" : "-2.147484E9"
@@ -455,6 +461,7 @@ org.apache.spark.SparkArithmeticException
   "errorClass" : "CAST_OVERFLOW",
   "sqlState" : "22003",
   "messageParameters" : {
+    "ansiConfig" : "\"spark.sql.ansi.enabled\"",
     "sourceType" : "\"FLOAT\"",
     "targetType" : "\"BIGINT\"",
     "value" : "-9.22338E18"

sql/core/src/test/resources/sql-tests/results/postgreSQL/int8.sql.out.java21

@@ -737,6 +737,7 @@ org.apache.spark.SparkArithmeticException
   "errorClass" : "CAST_OVERFLOW",
   "sqlState" : "22003",
   "messageParameters" : {
+    "ansiConfig" : "\"spark.sql.ansi.enabled\"",
     "sourceType" : "\"BIGINT\"",
     "targetType" : "\"INT\"",
     "value" : "4567890123456789L"
@@ -762,6 +763,7 @@ org.apache.spark.SparkArithmeticException
   "errorClass" : "CAST_OVERFLOW",
   "sqlState" : "22003",
   "messageParameters" : {
+    "ansiConfig" : "\"spark.sql.ansi.enabled\"",
     "sourceType" : "\"BIGINT\"",
     "targetType" : "\"SMALLINT\"",
     "value" : "4567890123456789L"
@@ -807,6 +809,7 @@ org.apache.spark.SparkArithmeticException
   "errorClass" : "CAST_OVERFLOW",
   "sqlState" : "22003",
   "messageParameters" : {
+    "ansiConfig" : "\"spark.sql.ansi.enabled\"",
     "sourceType" : "\"DOUBLE\"",
     "targetType" : "\"BIGINT\"",
     "value" : "9.223372036854776E20D"
@@ -895,6 +898,7 @@ org.apache.spark.SparkArithmeticException
   "errorClass" : "CAST_OVERFLOW",
   "sqlState" : "22003",
   "messageParameters" : {
+    "ansiConfig" : "\"spark.sql.ansi.enabled\"",
     "sourceType" : "\"BIGINT\"",
     "targetType" : "\"INT\"",
     "value" : "-9223372036854775808L"