feat: support divide_dt_interval

[peterxcli]

Which issue does this PR close?

Closes: #3096.

Rationale for this change

This adds support for Spark's divide_dt_interval expression, allowing DayTime interval division to execute within Comet through the JVM codegen dispatcher instead of falling back to Spark.

Using Spark's generated code preserves Spark-compatible rounding, null handling, divide-by-zero errors, and overflow behavior.

What changes are included in this PR?

• Register DivideDTInterval with the JVM codegen dispatcher.
• Add DayTimeIntervalType input support using Arrow DurationVector.
• Add DayTime interval literal serialization as microsecond durations.
• Support DayTime interval values in top-level and nested codegen inputs.
• Update the expression support documentation.
• Add SQL coverage for byte, short, integer, long, float, double, and decimal divisors.
• Cover interval literals, nulls, half-up microsecond rounding, negative values, division by zero, and the Long.MinValue / -1 overflow case.

How are these changes tested?

• ./mvnw test -Pspark-3.5 -Pscala-2.12 -Dtest=none -Dsuites="org.apache.comet.CometSqlFileTestSuite divide_dt_interval"

The focused SQL suite completed successfully with one test run and no failures.