Can't execute the assertion: An exception was raised by the Python Proxy. Return Message: Object ID unknown!

Hi I am using pydeequ to do some simple testing of data. Even the examples mentioned in the document also report Failure. My code is below and always give me Failure , for example on hasSize

checkResult = VerificationSuite(spark)
.onData(df_perc_per_rec)
.addCheck(
check.hasSize(lambda x: x >= 32)
.isComplete("report_mst_date")
.satisfies('perc_of_count_total >=2 AND perc_of_count_total <= 3', 'b and c', 'None','None')
).run()

checkResult_df = VerificationResult.checkResultsAsDataFrame(spark, checkResult)
checkResult_df.show()
Python Callback server started!
+----------------+-----------+------------+--------------------+-----------------+--------------------+
| check|check_level|check_status| constraint|constraint_status| constraint_message|
+----------------+-----------+------------+--------------------+-----------------+--------------------+
|Integrity checks| Error| Error|SizeConstraint(Si...| Failure|Can't execute the...|
|Integrity checks| Error| Error|CompletenessConst...| Success| |
|Integrity checks| Error| Error|ComplianceConstra...| Failure|Can't execute the...|
+----------------+-----------+------------+--------------------+-----------------+--------------------+

for check_json in checkResult.checkResults:
if check_json['constraint_status'] != "Success":
print(f"\t{check_json['constraint']} failed because: {check_json['constraint_message']}")

SizeConstraint(Size(None)) failed because: Can't execute the assertion: An exception was raised by the Python Proxy. Return Message: Object ID unknown!
ComplianceConstraint(Compliance(b and c,perc_of_count_total >=2 AND perc_of_count_total <= 3,None)) failed because: Can't execute the assertion: An exception was raised by the Python Proxy. Return Message: null!

Can somebody help me here to resolve it ? I am using Spark 2.4, Python 3 (Glue Version 1.0)

Thanks in advance

Inizia con gli esempi documentati e riproduci i fallimenti di hasSize e satisfies nell’ambiente indicato con Spark 2.4, Python 3 e Glue Version 1.0. Confronta i risultati delle asserzioni e gli errori dei callback; il completamento è dimostrato quando i checks vengono eseguiti senza “Object ID unknown!” né messaggi di asserzione null.

Scritto dal modello di indicizzazione a partire dal testo della issue.