[GitHub] [beam] kennknowles opened a new issue, #19569: Tagging python transform class as experimental breaks tests

[GitBox <gi...@apache.org>]

kennknowles opened a new issue, #19569:
URL: https://github.com/apache/beam/issues/19569

   `As part of BEAM-7715 I tried to add the `@experimental()` annotation in the external.py `External` and generate_sequence transform too. However it broke the tests apparently on a typing issue related to the annotation.`
   
   `Log:`
   *15:53:42* File "/home/jenkins/jenkins-slave/workspace/beam_PreCommit_Python_PVR_Flink_Commit/src/sdks/python/apache_beam/runners/portability/flink_runner_test.py", line 172, in test_external_transforms*15:53:42* expansion_service=get_expansion_service()))}}
    `*15:53:42* File "apache_beam/utils/annotations.py", line 146, in inner*15:53:42* return fnc(*args, **kwargs)**`
    `*15:53:42* File "apache_beam/io/external/generate_sequence.py", line 56, in __init_`
   `___*15:53:42* super(GenerateSequence, self).__init__()*15:53:42* TypeError: super() argument 1 must be type, not functionRef.`
   
   Ref.
   [https://builds.apache.org/job/beam_PreCommit_Python_PVR_Flink_Commit/3794/console](https://builds.apache.org/job/beam_PreCommit_Python_PVR_Flink_Commit/3794/console)
   
   Imported from Jira [BEAM-7757](https://issues.apache.org/jira/browse/BEAM-7757). Original Jira may contain additional context.
   Reported by: iemejia.


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