Implement TimeType support: Infrastructure - sort, min/max #4379

What is the problem the feature request solves?

This is #4288 sub-issue

These are the core infrastructure pieces that make TimeType columns usable in
real-world queries. Without them, any query that shuffles, sorts, or aggregates
a time column falls back to Spark.

Since TimeType is physically a fixed-width i64 (same as LongType/TimestampType),
all of these should be straightforward additions to existing type lists.

Describe the potential solution

Sort
File: spark/src/main/scala/org/apache/comet/serde/QueryPlanSerde.scala:833-843

supportedScalarSortElementType does not include TimeType. Add alongside
DateType | TimestampType | TimestampNTZType. The Rust sort implementation
already handles i64 types, so no native changes should be needed.

Min/Max aggregates
File: spark/src/main/scala/org/apache/comet/serde/aggregates.scala:742-751

minMaxDataTypeSupported has DateType | TimestampType but not TimeType.
Add it. The Rust min/max implementation works on any orderable Arrow type,
so Time64(Nanosecond) should work without native changes.

Additional context

No response