Description
From the docs it is not clear if this is possible and my first tries failed.
If I do python -m numpydoc -h
I see,
Implementing `python -m numpydoc` functionality.
positional arguments:
import_path e.g. numpy.ndarray
options:
-h, --help show this help message and exit
-c CONFIG, --config CONFIG
key=val where val will be parsed by literal_eval, e.g. -c use_plots=True. Multiple -c can be used.
--validate validate the object and report errors
and from the docs I see e.g. the numpydoc_use_plots
configuration option mentioned in the help example.
I would like to specify the equivalent of e.g. numpydoc_validation_checks = {"all", "GL01", "GL02", "GL05"}
- is this possible?
If not it should be explained, if yes I think there should be more examples of usage.
I tried e.g.,
python -m numpydoc -c numpydoc_validation_checks=all -c numpydoc_validation_checks=GL01 -c numpydoc_validation_checks=GL02 -c numpydoc_validation_checks=GL05 --validate test_module.good_docstring
and
python -m numpydoc -c numpydoc_validation_checks{"all", "GL01", "GL02", "GL05"} --validate test_module.good_docstring