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While testing the example given for Mapping over multiple parameters I noticed only 5 tasks are being mapped rather than the expected 6.
task example from the doc:
@task
def add(x: int, y: int):
return x + y
added_values = add.expand(x=[2, 4, 8], y=[5, 10])
The doc mentions:
# This results in the add function being called with
# add(x=2, y=5)
# add(x=2, y=10)
# add(x=4, y=5)
# add(x=4, y=10)
# add(x=8, y=5)
# add(x=8, y=10)
But when I create a DAG with the example, only 5 tasks are mapped instead of 6:
What you think should happen instead
A task should be mapped for all 6 possible outcomes, rather than only 5
How to reproduce
Create a DAG using the example provided [here](Mapping over multiple parameters) and check the number of mapped instances:
Apache Airflow version
2.3.0 (latest released)
What happened
While testing the example given for
Mapping over multiple parameters
I noticed only 5 tasks are being mapped rather than the expected 6.task example from the doc:
The doc mentions:
But when I create a DAG with the example, only 5 tasks are mapped instead of 6:

What you think should happen instead
A task should be mapped for all 6 possible outcomes, rather than only 5
How to reproduce
Create a DAG using the example provided [here](Mapping over multiple parameters) and check the number of mapped instances:

Operating System
macOS 11.5.2
Versions of Apache Airflow Providers
apache-airflow-providers-amazon==3.3.0
apache-airflow-providers-celery==2.1.4
apache-airflow-providers-cncf-kubernetes==4.0.1
apache-airflow-providers-databricks==2.6.0
apache-airflow-providers-elasticsearch==3.0.3
apache-airflow-providers-ftp==2.1.2
apache-airflow-providers-google==6.8.0
apache-airflow-providers-http==2.1.2
apache-airflow-providers-imap==2.2.3
apache-airflow-providers-microsoft-azure==3.8.0
apache-airflow-providers-postgres==4.1.0
apache-airflow-providers-redis==2.0.4
apache-airflow-providers-slack==4.2.3
apache-airflow-providers-snowflake==2.6.0
apache-airflow-providers-sqlite==2.1.3
Deployment
Astronomer
Deployment details
Localhost instance of Astronomer Runtime 5.0.0
Anything else
No response
Are you willing to submit PR?
Code of Conduct
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