fjmacagno opened a new issue #13623:
URL: https://github.com/apache/airflow/issues/13623
**Apache Airflow version**: 2.0
**Environment**:
- **Cloud provider or hardware configuration**: Local docker image
- **OS** (e.g. from /etc/os-release): OSX
- **Kernel** (e.g. `uname -a`): Linux a40a8eb931e9 4.19.121-linuxkit #1 SMP
Tue Dec 1 17:50:32 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
- **Install tools**: pip3
- **Others**:
**What happened**:
```
ERROR - Failed to import: /usr/local/airflow/dags/test_dag.py
Traceback (most recent call last):
File "/usr/local/lib/python3.8/site-packages/airflow/models/dagbag.py",
line 294, in _load_modules_from_file
loader.exec_module(new_module)
File "<frozen importlib._bootstrap_external>", line 783, in exec_module
File "<frozen importlib._bootstrap>", line 219, in
_call_with_frames_removed
File "/usr/local/airflow/dags/test_dag.py", line 5, in <module>
task = ShortCircuitOperator(
File
"/usr/local/lib/python3.8/site-packages/airflow/models/baseoperator.py", line
89, in __call__
obj: BaseOperator = type.__call__(cls, *args, **kwargs)
File "/usr/local/lib/python3.8/site-packages/airflow/utils/decorators.py",
line 94, in wrapper
result = func(*args, **kwargs)
File "/usr/local/lib/python3.8/site-packages/airflow/operators/python.py",
line 101, in __init__
super().__init__(**kwargs)
File "/usr/local/lib/python3.8/site-packages/airflow/utils/decorators.py",
line 94, in wrapper
result = func(*args, **kwargs)
File
"/usr/local/lib/python3.8/site-packages/airflow/models/baseoperator.py", line
392, in __init__
raise AirflowException(
airflow.exceptions.AirflowException: Invalid arguments were passed to
ShortCircuitOperator (task_id: check). Invalid arguments were:
**kwargs: {'provide_context': False}
```
**What you expected to happen**:
No error
**How to reproduce it**:
DAG:
```
from airflow.operators.python import ShortCircuitOperator
from airflow import DAG
with DAG(dag_id="ASD") as dag:
task = ShortCircuitOperator(
task_id="check",
python_callable=lambda var: not var,
provide_context=False,
op_args=(False))
```
Run `python3 -c 'from airflow.models.dagbag import DagBag; DagBag();'`
**Anything else we need to know**:
If in the dag you set `provide_context=True`, there is no error.
Admittedly not a big problem since false is default, but some of my users do
this anyway.
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