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https://issues.apache.org/jira/browse/BEAM-13845?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Valentyn Tymofieiev updated BEAM-13845:
---------------------------------------
    Summary: apache_beam.pipeline_test.DoFnTest.test_incomparable_default fails 
on Python 3.9  (was: apache_beam.pipeline_test.DoFnTest testMethod fails on 
Python 3.9)

> apache_beam.pipeline_test.DoFnTest.test_incomparable_default fails on Python 
> 3.9
> --------------------------------------------------------------------------------
>
>                 Key: BEAM-13845
>                 URL: https://issues.apache.org/jira/browse/BEAM-13845
>             Project: Beam
>          Issue Type: Sub-task
>          Components: sdk-py-core
>            Reporter: Valentyn Tymofieiev
>            Assignee: Valentyn Tymofieiev
>            Priority: P2
>
> {noformat}
> ==================================================================== FAILURES 
> ====================================================================
> _______________________________________________________ 
> DoFnTest.test_incomparable_default 
> _______________________________________________________
> self = <apache_beam.pipeline_test.DoFnTest 
> testMethod=test_incomparable_default>
>     def test_incomparable_default(self):
>       class IncomparableType(object):
>         def __eq__(self, other):
>           raise RuntimeError()
>     
>         def __ne__(self, other):
>           raise RuntimeError()
>     
>         def __hash__(self):
>           raise RuntimeError()
>     
>       # Ensure that we don't use default values in a context where they must 
> be
>       # comparable (see BEAM-8301).
>       with TestPipeline() as pipeline:
>         pcoll = (
>             pipeline
>             | beam.Create([None])
>             | Map(lambda e, x=IncomparableType(): (e, type(x).__name__)))
> >       assert_that(pcoll, equal_to([(None, 'IncomparableType')]))
> apache_beam/pipeline_test.py:816: 
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> apache_beam/pipeline.py:596: in __exit__
>     self.result = self.run()
> apache_beam/testing/test_pipeline.py:112: in run
>     result = super().run(
> apache_beam/pipeline.py:546: in run
>     return Pipeline.from_runner_api(
> apache_beam/pipeline.py:573: in run
>     return self.runner.run_pipeline(self, self._options)
> apache_beam/runners/direct/direct_runner.py:131: in run_pipeline
>     return runner.run_pipeline(pipeline, options)
> apache_beam/runners/portability/fn_api_runner/fn_runner.py:199: in 
> run_pipeline
>     self._latest_run_result = self.run_via_runner_api(
> apache_beam/runners/portability/fn_api_runner/fn_runner.py:210: in 
> run_via_runner_api
>     return self.run_stages(stage_context, stages)
> apache_beam/runners/portability/fn_api_runner/fn_runner.py:395: in run_stages
>     stage_results = self._run_stage(
> apache_beam/runners/portability/fn_api_runner/fn_runner.py:660: in _run_stage
>     self._run_bundle(
> apache_beam/runners/portability/fn_api_runner/fn_runner.py:783: in _run_bundle
>     result, splits = bundle_manager.process_bundle(
> apache_beam/runners/portability/fn_api_runner/fn_runner.py:1094: in 
> process_bundle
>     result_future = self._worker_handler.control_conn.push(process_bundle_req)
> apache_beam/runners/portability/fn_api_runner/worker_handlers.py:378: in push
>     response = self.worker.do_instruction(request)
> apache_beam/runners/worker/sdk_worker.py:580: in do_instruction
>     return getattr(self, request_type)(
> apache_beam/runners/worker/sdk_worker.py:611: in process_bundle
>     bundle_processor = self.bundle_processor_cache.get(
> apache_beam/runners/worker/sdk_worker.py:441: in get
>     processor = bundle_processor.BundleProcessor(
> apache_beam/runners/worker/bundle_processor.py:865: in __init__
>     op.setup()
> apache_beam/runners/worker/operations.py:686: in setup
>     self.dofn_runner = common.DoFnRunner(
> apache_beam/runners/common.py:1185: in __init__
>     self.do_fn_invoker = DoFnInvoker.create_invoker(
> apache_beam/runners/common.py:423: in create_invoker
>     return PerWindowInvoker(
> apache_beam/runners/common.py:561: in __init__
>     (core.DoFn.WindowParam in default_arg_values) or
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> self = <apache_beam.pipeline_test.IncomparableType object at 0x7f4f09d28e80>, 
> other = WindowParam
>     def __eq__(self, other):
> >     raise RuntimeError()
> E     RuntimeError
> apache_beam/pipeline_test.py:801: RuntimeError
> {noformat}



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