uranusjr opened a new pull request, #24772:
URL: https://github.com/apache/airflow/pull/24772

   The custom `__getstate__` and `__setstate__` implementation from attrs 
interacts badly with Airflow's DAG serialization and pickling. When a mapped 
task is deserialized, subclasses are coerced to MappedOperator. But when the 
instances go through DAG pickling, all attributes defined in the subclasses are 
dropped by attrs's custom state management.
   
   Since attrs does not do anything too special here (the logic is only 
important for `slots=True`), we can use Python's built-in implementation 
instead.
   
   I locally ran `airflow scheduler` and this seems to fix the exceptions, but 
it seems difficult to create a meaningful test for this due to all the 
components involved. Ideas on test setup are much welcomed.
   
   Fix #23838.


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