shawnbrown

I quite like the width of Libertinus Mono as it is--I use it for programming every day. I've looked at the 85% and 80% scaling and it's easy for busy...

@iandoug, I can see that. I gravitated to Libertinus Mono because of the serifs. Monospace fonts with serifs tend to use slab serifs--which I particularly want to avoid. Originally I...

I'm not sure if I have an answer for you but have you tried specifying the encoding? If you know what encoding you have, you might be able to get...

Hello--thanks for filing this issue. I'd like to replicate your problem as accurately as I can before I start addressing the issue. I have some sample code below but I'm...

Ah, OK. As a stopgap, you can use the [`accepted.args()`](https://datatest.readthedocs.io/en/stable/reference/datatest-core.html#datatest.accepted.args) method together with the [`pd.isna()`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.isna.html) function: ``` ... with accepted.args(pd.isna): validate(data, date_requirement) ``` The `accepted.args()` method accepts differences whose [`args`](https://datatest.readthedocs.io/en/stable/reference/datatest-core.html#datatest.BaseDifference.args)...

I'm glad you found it helpful. I noticed that your `date_requirement()` function is checking for an interval. If it suits your needs, you could also use the [`validate.interval()`](https://datatest.readthedocs.io/en/stable/reference/datatest-core.html#datatest.validate.interval) method: ```...

Ah, thanks for posting this. Your confusion is entirely warranted--`datatest` _should_ be raising an error in this case. I will look to get a fix pushed out in the next...

I encountered this on Fedora with a Flatpak installation. The fix that @nilsnh used (now added to the [wiki](https://github.com/VSCodium/vscodium/wiki/Troubleshooting)) also worked for me.

You are correct about the `accepted.tolerance()` behavior--it's only applied to direct child values, not to values within nested dictionaries. A workaround would be to convert nested dictionaries into a flattened...

A different `flatten()` function could combine the keys into a single string value. Doing this is less precise than the tuple-keys version shown previously but many use cases don't need...