[SPARK-53112][PYTHON][TESTS][FOLLOW-UP] Remove some tests for Non-ANSI

### What changes were proposed in this pull request?
remove some newly added tests which failed in non-ansi

see https://github.com/apache/spark/actions/runs/18025276597/job/51291154866

```
======================================================================
FAIL [1.563s]: test_make_timestamp_ntz (pyspark.sql.tests.test_functions.FunctionsTests.test_make_timestamp_ntz)
Comprehensive test cases for make_timestamp_ntz with various arguments and edge cases.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/__w/spark/spark/python/pyspark/sql/tests/test_functions.py", line 999, in test_make_timestamp_ntz
    with self.assertRaises(Exception):
AssertionError: Exception not raised

----------------------------------------------------------------------
```

### Why are the changes needed?
to make non-ansi schedule job happy

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

### How was this patch tested?
manually check

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

Closes #52466 from zhengruifeng/remove_ansi_test.

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

Author: zhengruifeng

python/pyspark/sql/tests/test_functions.py

@@ -995,62 +995,6 @@ def test_make_timestamp_ntz(self):
         with self.assertRaises(Exception):
             F.make_timestamp_ntz(date=df_dt.date)
 
-        # Test 17: Invalid data types - should raise exception for invalid string to int cast
-        with self.assertRaises(Exception):
-            self.spark.range(1).select(
-                F.make_timestamp_ntz(
-                    F.lit("invalid"), F.lit(5), F.lit(22), F.lit(10), F.lit(30), F.lit(0)
-                )
-            ).collect()
-
-        # Test 18: Out of range values (month=13) - should raise exception for invalid date
-        df_invalid = self.spark.createDataFrame(
-            [(2024, 13, 22, 10, 30, 0)], ["year", "month", "day", "hour", "minute", "second"]
-        )
-        with self.assertRaises(Exception):
-            df_invalid.select(
-                F.make_timestamp_ntz(
-                    df_invalid.year,
-                    df_invalid.month,
-                    df_invalid.day,
-                    df_invalid.hour,
-                    df_invalid.minute,
-                    df_invalid.second,
-                )
-            ).collect()
-
-        # Test 19: Out of range values (hour=25) - should raise exception for invalid time
-        df_invalid_hour = self.spark.createDataFrame(
-            [(2024, 5, 22, 25, 30, 0)], ["year", "month", "day", "hour", "minute", "second"]
-        )
-        with self.assertRaises(Exception):
-            df_invalid_hour.select(
-                F.make_timestamp_ntz(
-                    df_invalid_hour.year,
-                    df_invalid_hour.month,
-                    df_invalid_hour.day,
-                    df_invalid_hour.hour,
-                    df_invalid_hour.minute,
-                    df_invalid_hour.second,
-                )
-            ).collect()
-
-        # Test 20: February 29 in non-leap year
-        df_non_leap = self.spark.createDataFrame(
-            [(2023, 2, 29, 0, 0, 0)], ["year", "month", "day", "hour", "minute", "second"]
-        )
-        with self.assertRaises(Exception):  # Should raise runtime exception for invalid date
-            df_non_leap.select(
-                F.make_timestamp_ntz(
-                    df_non_leap.year,
-                    df_non_leap.month,
-                    df_non_leap.day,
-                    df_non_leap.hour,
-                    df_non_leap.minute,
-                    df_non_leap.second,
-                )
-            ).collect()
-
     def test_make_date(self):
         # SPARK-36554: expose make_date expression
         df = self.spark.createDataFrame([(2020, 6, 26)], ["Y", "M", "D"])