feat: Implement datafusion-spark sequence function

[erenavsarogullari]

Which issue does this PR close?

• Closes feat: Implement datafusion-spark sequence function #20540.

Rationale for this change

Ref EPIC: #15914
datafusion-spark submodule needs sequence function support by following diverse cases and enabling sequence.slt:

Please find sample use cases:
Case1: Natural order:

query ?
SELECT sequence(1, 5);
----
[1, 2, 3, 4, 5]

Case2: Reverse order:

query ?
SELECT sequence(5, 1);
----
[5, 4, 3, 2, 1]

Case3: Natural order with internal:

query ?
SELECT sequence(1, 5, 1);
----
[1, 2, 3, 4, 5]

Case4: Reverse order with internal:

query ?
SELECT sequence(5, 1, -1);
----
[5, 4, 3, 2, 1]

Case5: Date / Timestamp without interval

SELECT sequence(DATE '1992-01-01', DATE '1992-01-03')
SELECT sequence(TIMESTAMP '2023-01-01T00:00:00', TIMESTAMP '2023-01-01T00:00:00') 

Case6: Date / Timestamp with interval

SELECT sequence(DATE '1992-01-01', DATE '1992-01-03', INTERVAL '6' HOUR)
SELECT sequence(TIMESTAMP '2023-01-01T00:00:00', TIMESTAMP '2023-01-01T00:00:00', INTERVAL '1' DAY) 

Case 7 & 8: Date / Timestamp with interval and reverse order
Case 9: NULL inputs
Case 10: Negative Cases
Ref: https://docs.databricks.com/aws/en/sql/language-manual/functions/sequence

Note: In addition to above use cases, planning to add more cases by follow-up PRs in terms of further testing current Spark sequence behaviour so this is initial effort to help reviewers and the integration.

What changes are included in this PR?

This PR introduces new datafusion-spark sequence function support.

Are these changes tested?

Yes, added new test cases under sequence.slt

Are there any user-facing changes?

Yes, new datafusion-spark sequence function is being added.