Adding hamming distance function to painless for dense_vector fields (#109359)

This adds `hamming` distances, the pop-count of `xor` byte vectors as a
first class citizen in painless. 

For byte vectors, this means that we can compute hamming distances via
script_score (aka, brute-force).

The implementation of `hamming` is the same that is available in Lucene,
and when lucene 9.11 is merged, we should update our logic where
applicable to utilize it.

NOTE: this does not yet add hamming distance as a metric for indexed
vectors. This will be a future PR after the Lucene 9.11 upgrade.

server/src/main/java/module-info.java

@@ -431,6 +431,7 @@ module org.elasticsearch.server {
             org.elasticsearch.indices.IndicesFeatures,
             org.elasticsearch.action.admin.cluster.allocation.AllocationStatsFeatures,
             org.elasticsearch.index.mapper.MapperFeatures,
+            org.elasticsearch.script.ScriptFeatures,
             org.elasticsearch.search.retriever.RetrieversFeatures,
             org.elasticsearch.reservedstate.service.FileSettingsFeatures;