Annotations/import any eaf tier

[marianne-m]

• [x] tests
• [x] documentation
• [x] implementation

[lucasgautheron]

I would suggest having a params: dict argument for _import_annotation rather than new_tiers so we can support more parameters of that kind in the long run.

Then we can do:

df = converter.convert(path, filter, **params)

The signature of Converter.convert() should include **kwargs.

What do you think?

[marianne-m]

Yes that's a good idea, and also params: dict in import_annoation, or should I keep an explicit argument like new_tiers?

Also, is there a reason to use dict and not list (and then we call df.converter(path, filter, *params) with args in the signature of Converter.convert()) ?