[SPARK-52570][PS] Enable divide-by-zero for numeric rmod with ANSI enabled

[xinrong-meng]

What changes were proposed in this pull request?

Enable divide-by-zero for numeric rmod with ANSI enabled

Why are the changes needed?

Part of https://issues.apache.org/jira/browse/SPARK-52169.

Does this PR introduce any user-facing change?

Yes.

>>> ps.set_option("compute.fail_on_ansi_mode", False)
>>> ps.set_option("compute.ansi_mode_support", True)

>>> pdf = pd.DataFrame({"a": [0], "b": [False]})
>>> pdf.dtypes
a    int64
b     bool
dtype: object
>>> psdf = ps.from_pandas(pdf)
>>> 1 % psdf["a"]
0   NaN
Name: a, dtype: float64
>>> 1 % psdf["b"]
0   NaN
Name: b, dtype: float64

How was this patch tested?

Unit tests.

(dev3.11) spark (bool_mod_new) % SPARK_ANSI_SQL_MODE=true  ./python/run-tests --python-executables=python3.11 --testnames "pyspark.pandas.tests.data_type_ops.test_boolean_ops 
...
Tests passed in 4 seconds

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

No.