Error in Model.py 🐛

[luccablois]

Version information

• pyglotaran version: 0.7.1
• Python version: 3.11.5
• Operating System: Windows 11

Describe the bug

I built my model.yaml file but i keep getting an error arrising from Model.py:

File :40 in init self.dataset = __attr_converter_dataset(dataset)

File ~.conda\envs\spyder-env\Lib\site-packages\glotaran\model\model.py:193 in converter=lambda value: _load_model_items_from_dict(item_type, value),

File ~.conda\envs\spyder-env\Lib\site-packages\glotaran\model\model.py:112 in _load_model_items_from_dict return {

File ~.conda\envs\spyder-env\Lib\site-packages\glotaran\model\model.py:113 in label: _load_item_from_dict(item_type, value, extra={"label": label}) # type:ignore[misc]

File ~.conda\envs\spyder-env\Lib\site-packages\glotaran\model\model.py:86 in _load_item_from_dict value = value | extra

TypeError: unsupported operand type(s) for |: 'NoneType' and 'dict'

#

Screenshots

Here is what i have done up to now:

and my model.yaml file:

I managed to get a SVD for 5 decay constants, but this error in model.py keeps getting in the way. I tried removing the "| extra" part in the model.py file but it did not work so i restored it to the original version.

I would apreciate any help whatsoever

Best regards Lucca

[s-weigand]

Yaml is an indentation-sensitive language and the definition of dataset1 is not properly indented.

dataset:
-   dataset1:
-   initial_concentration: input
-   megacomplex: [m1]
-   irf: irf1
+   dataset1:
+     initial_concentration: input
+     megacomplex: [m1]
+     irf: irf1

We are working on a rewrite for the 0.8.0 release which will add proper editor support for model files via the yaml language server and json schema, so those kinds of errors can be quickly spotted. In addition, the new version will have a lot better parsing error handling.

Hope that helps

[luccablois]

It solved, thanks, did not pay attention to that!