[SPARK-49713][PYTHON][CONNECT] Make function count_min_sketch accept number arguments

[zhengruifeng]

What changes were proposed in this pull request?

1, Make function count_min_sketch accept number arguments;
2, Make argument seed optional;
3, fix the type hints of eps/confidence/seed from ColumnOrName to Column, because they require a foldable value and actually do not accept column name:

In [3]: from pyspark.sql import functions as sf

In [4]: df = spark.range(10000).withColumn("seed", sf.lit(1).cast("int"))

In [5]: df.select(sf.hex(sf.count_min_sketch("id", sf.lit(0.5), sf.lit(0.5), "seed")))
...
AnalysisException: [DATATYPE_MISMATCH.NON_FOLDABLE_INPUT] Cannot resolve "count_min_sketch(id, 0.5, 0.5, seed)" due to data type mismatch: the input `seed` should be a foldable "INT" expression; however, got "seed". SQLSTATE: 42K09;
'Aggregate [unresolvedalias('hex(count_min_sketch(id#1L, 0.5, 0.5, seed#2, 0, 0)))]
+- Project [id#1L, cast(1 as int) AS seed#2]
   +- Range (0, 10000, step=1, splits=Some(12))
...

Why are the changes needed?

1, seed is optional in other similar functions;
2, existing type hint is ColumnOrName which is misleading since column name is not actually supported

Does this PR introduce any user-facing change?

yes, it support number arguments

How was this patch tested?

updated doctests

Was this patch authored or co-authored using generative AI tooling?

no

[HyukjinKwon]

Would need a connect version as well.

[zhengruifeng]

Good catch! let me add one for Scala client.

[zhengruifeng]

@HyukjinKwon it seems we don't have a separate functions.scala for Scala client now, after a lot of refactoring?

[xinrong-meng]

nit: , optional in the end?

[zhengruifeng]

nice catch!

[dongjoon-hyun]

+1, LGTM.

[zhengruifeng]

thanks @dongjoon-hyun @xinrong-meng and @HyukjinKwon

merged to master