Desdroid opened a new issue, #65674:
URL: https://github.com/apache/airflow/issues/65674

   ### Under which category would you file this issue?
   
   Airflow Core
   
   ### Apache Airflow version
   
   3.2.1
   
   ### What happened and how to reproduce it?
   
   ** Issue Description **
   Our dags heavily use dynamic task mapping and we see that the DAG Versions 
ever increases - most of the time even within one dag run. 
   We have not pushed any changes though. Also we don't see any warning from 
the Dag version inflation detection in the UI. 
   The explanations at the docs 
https://airflow.apache.org/docs/apache-airflow/stable/faq.html#why-does-my-dag-version-keep-increasing
 don't apply to the reproduction dag below, if i'm not mistaken. 
   I assume the issue has to do with dynamic task mapping.
   
   
   ** How to Reproduce **
   Add the following DAG to an Airflow 3.2.1 installation, then trigger it a 
couple of times. Almost each run seems to get a new version. 
   
   ```python
   from datetime import datetime
   
   from airflow.sdk import dag, task, task_group
   
   
   @dag(
       dag_id="TEST_DTM",
       dag_display_name="TEST DTM",
       schedule=None,
       default_args={"owner": "airflow", "email": ""},
       start_date=datetime(2024, 1, 25),
   )
   def dtm_test(
       exponent: int = 2,
   ):
   
       @task
       def get_data():
           return [20, 100, 200, 222, 242, 272]
   
       @task
       def to_exp(number: int, exponent: int) -> float:
           return number**exponent
   
       @task
       def trunc(number: float, digits: int) -> float:
           return round(number / 22, digits)
   
       @task
       def save(number: list[float]):
           for n in number:
               print(f"Got number: {n}")
   
       @task_group
       def transform(number: int, exponent: int) -> float:
           a = to_exp(number, exponent)
           b = trunc(a, 2)
           return b
   
       data = get_data()
       result = transform.partial(exponent=exponent).expand(number=data)
       save(result)
   
   
   instance = dtm_test()
   ```
   
   ### What you think should happen instead?
   
   The versions should stay the same.
   
   ### Operating System
   
   Airflow Docker / Debian 
   
   ### Deployment
   
   Official Apache Airflow Helm Chart
   
   ### Apache Airflow Provider(s)
   
   _No response_
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Official Helm Chart version
   
   1.20.0 (latest released)
   
   ### Kubernetes Version
   
   v1.32.12
   
   ### Helm Chart configuration
   
   _No response_
   
   ### Docker Image customizations
   
   _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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