parthchandra commented on PR #6413:
URL: 
https://github.com/apache/datafusion-comet/pull/6413#issuecomment-5919287580

   Two coverage notes (Spark canonicalizes NaN and folds `-0.0` before hashing):
   
   - **`spark/src/test/resources/sql-tests/expressions/hash/hash.sql:47`** and 
the `shapes` closure at **`native/spark-expr/src/hash_funcs/murmur3.rs:833`** — 
the nested coverage tests arrays, structs, dictionaries, and fixed-size/large 
lists, but not maps. Map float keys and values do go through `hash_input` via 
the recursive fallback, so it should already be correct, but nothing tests it. 
Please add a map-of-float case in both.
   
   - **`native/spark-expr/src/agg_funcs/hll_plus_plus.rs:507`** — the 
`floats_fold_negative_zero_and_nan` test only exercises top-level 
Float64/Float32. Dropping the old `normalize_floats` pass actually improves 
nested floats (that pass never reached a float inside a struct or array, while 
the hash kernel does). Please add an `approx_count_distinct` case over a 
struct-of-float or array-of-float so that improvement can't regress.
   


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