Step reports through `get_step_report()` error in PySpark

A row-based step row (based on a col_vals_*() validation step) currently fails in PySpark. The stack trace I received in recent testing (not well-formatted):

/databricks/spark/python/pyspark/sql/pandas/functions.py:443: UserWarning: In Python 3.6+ and Spark 3.0+, it is preferred to specify type hi nts for pandas UDF instead of specifying pandas UDF type which will be deprecated in the future releases. See SPARK-28264 for more details.
warnings.warn (
/databricks/spark/python/pyspark/sql/pandas/functions.py:443: UserWarning: In Python 3.6+ and Spark 3.0+, it is preferred to specify type hi nts for pandas UDF instead of specifying pandas UDF type which will be deprecated in the future releases. See SPARK-28264 for more details.
warnings. warn (
/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.12/site-packages/pointblank/validate.py:7375: SyntaxWarning: invalid escape
sequence 'Id'
› ValueError: The input table type supplied in 'data=' is not supported.
File <command-4199509693953478>, line 1
- 1 validation.get_step_report (i=1)
File /local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.12/site-packages/pointblank/validate.py:1503, in get_row_count(data)
return data. shape [0]
1500
1502
1>
1503
else:
raise ValueError ("The input table type supplied in 'data=' is not supported.")