fix: Fix and Refactor Spark shuffle function

[erenavsarogullari]

Which issue does this PR close?

• Closes Fix and Refactor Spark shuffle function #20483.

Rationale for this change

Currently, Spark shuffle function returns following error message when seed is null. This needs to be fixed by exposing NULL instead of 'Int64'.

Current:

query error
SELECT shuffle([2, 1], NULL);
----
DataFusion error: Execution error: shuffle seed must be Int64 type, got 'Int64'

New:

query error DataFusion error: Execution error: shuffle seed must be Int64 type but got 'NULL'
SELECT shuffle([1, 2, 3], NULL);

In addition to this fix, this PR also introduces following refactoring to shuffle function:

• Combining args validation checks with single error message,
• Extending current error message with expected data types:

Current:
shuffle does not support type '{array_type}'.

New:
shuffle does not support type '{array_type}'; expected types: List, LargeList, FixedSizeList or Null." 

• Adding new UT coverages for both shuffle.rs and shuffle.slt.

What changes are included in this PR?

Are these changes tested?

Yes, being added new UT cases.

Are there any user-facing changes?

Yes, updating Spark shuffle functions error messages.

[Jefffrey]

This doesn't actually seem to match spark semantics

>>> spark.sql("select shuffle(array(1,2,3), null)").show()
+-----------------------+
|shuffle(array(1, 2, 3))|
+-----------------------+
|              [1, 2, 3]|
+-----------------------+