olk opened a new issue, #46297:
URL: https://github.com/apache/airflow/issues/46297

   ### Apache Airflow version
   
   2.10.4
   
   ### If "Other Airflow 2 version" selected, which one?
   
   _No response_
   
   ### What happened?
   
   The joning task after branching is always skipped with trigger 
policy="none_failed_min_one_success":
   
   ```
   from airflow.utils.dates import days_ago
   from airflow.decorators import dag, task, task_group
   
   @task
   def start():
       return [ 1, 2, 3 ]
   
   
   @task_group
   def expanding(n):
   
       @task.branch
       def branching(n):
           print(n)
   
           if n == 1:
               return "expanding.foo"
           else:
               return "expanding.bar"
   
       @task
       def foo(n):
           print(n)
           return n + 1
   
       @task
       def bar(n):
           print(n)
           return n + 3
   
       @task(trigger_rule='none_failed_min_one_success')
       def finalize(x, y):
           if x is not None:
               return x
           if y is not None:
               return y
           return None
   
       choose_tech_branch_result = branching(n)
   
       foo_result = foo(n)
       bar_result = bar(n)
   
       choose_tech_branch_result >> [ foo_result, bar_result ]
   
       finalize_result = finalize(foo_result, bar_result)
       [ foo_result, bar_result ] >> finalize_result
   
       return finalize_result
   
   
   @task
   def finalize_all(group_results):
       print(group_results)
       return group_results
   
   
   @dag(dag_id="branching",
        start_date=days_ago(1),
        schedule_interval=None)
   def branch_example():
   
       group_results = expanding.expand(n=start())
       finalizer_result = finalize_all(group_results)
       print(finalizer_result)
   
   branch_example()
   
   ```
   
   Workaround: pass argument `n` to task ´finalize` even if it's not used. 
seams to be an issue with upstream evaluation.
   ```
   from airflow.utils.dates import days_ago
   from airflow.decorators import dag, task, task_group
   
   @task
   def start():
       return [ 1, 2, 3 ]
   
   
   @task_group
   def expanding(n):
   
       @task.branch
       def branching(n):
           print(n)
   
           if n == 1:
               return "expanding.foo"
           else:
               return "expanding.bar"
   
       @task
       def foo(n):
           print(n)
           return n + 1
   
       @task
       def bar(n):
           print(n)
           return n + 3
   
       @task(trigger_rule='none_failed_min_one_success')
       def finalize(_, x, y):
           if x is not None:
               return x
           if y is not None:
               return y
           return None
   
       choose_tech_branch_result = branching(n)
   
       foo_result = foo(n)
       bar_result = bar(n)
   
       choose_tech_branch_result >> [ foo_result, bar_result ]
   
       finalize_result = finalize(n, foo_result, bar_result)
       [ foo_result, bar_result ] >> finalize_result
   
       return finalize_result
   
   
   @task
   def finalize_all(group_results):
       print(group_results)
       return group_results
   
   
   @dag(dag_id="branching",
        start_date=days_ago(1),
        schedule_interval=None)
   def branch_example():
   
       group_results = expanding.expand(n=start())
       finalizer_result = finalize_all(group_results)
       print(finalizer_result)
   
   branch_example()
   ```
   
   
   ### What you think should happen instead?
   
   _No response_
   
   ### How to reproduce
   
   see comment/code
   
   ### Operating System
   
   Linux
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Deployment
   
   Official Apache Airflow Helm Chart
   
   ### Deployment details
   
   _No response_
   
   ### Anything else?
   
   _No response_
   
   ### Are you willing to submit PR?
   
   - [ ] Yes I am willing to submit a PR!
   
   ### Code of Conduct
   
   - [x] I agree to follow this project's [Code of 
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
   


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