[BUG] Spark-4.0: Tests failures in CastOpSuite

[nartal1]

Describe the bug
Below unit tests(scala tests) are failing in CastOpSuite
Total failures: 12

Pasting the error message which have different reasons for the failure.

1. - Cast from string to timestamp *** FAILED ***
  Mismatch casting string [\t\n\tT21:34:56.333666Z\r\n] to TimestampType. CPU: null; GPU: 2025-01-23 21:34:56.333666 (CastOpSuite.scala:244)

2. - Test all supported casts with in-range values *** FAILED ***
  Cast from StringType to TimestampType failed; ansi=false org.scalatest.exceptions.TestFailedException: 
  Running on the GPU and on the CPU did not match (relaxed float comparison)

3. - Test cast from long *** FAILED ***
  org.apache.spark.sql.catalyst.ExtendedAnalysisException: [DATATYPE_MISMATCH.CAST_WITH_CONF_SUGGESTION] Cannot resolve "CAST(longs AS BINARY)" due to data type mismatch: cannot cast "BIGINT" to "BINARY" with ANSI mode on.

4. - Test cast from float *** FAILED ***
  org.apache.spark.SparkArithmeticException: [CAST_OVERFLOW] The value Infinity of the type "FLOAT" cannot be cast to "INT" due to an overflow. Use `try_cast` to tolerate overflow and return NULL instead. SQLSTATE: 22003

5.  - Test cast from string to bool *** FAILED ***
  org.apache.spark.SparkRuntimeException: [CAST_INVALID_INPUT] The value 'maybe' of the type "STRING" cannot be cast to "BOOLEAN" because it is malformed. Correct the value as per the syntax, or change its target type. Use `try_cast` to tolerate malformed input and return NULL instead. SQLSTATE: 22018
== DataFrame ==
"cast" was called from

6. - Detect overflow from numeric types to decimal *** FAILED ***
  Expected exception org.apache.spark.SparkException to be thrown, but org.apache.spark.SparkArithmeticException was thrown (CastOpSuite.scala:871)

Steps/Code to reproduce bug

mvn package -f scala2.13/pom.xml -pl tests -am -Dbuildver=400 -Dsuffixes=".*CastOpSuite"

Expected behavior
Tests must either pass or skip with valid reason in the test suite.