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Following the instructions in the contributing guidelines I tried to install the tests dependencies as
pip install .[tests]
but it wouldn't work unless I do pip install ."[tests]". Same happens with [docs ].
It seems to be a terminal issue, that we should skip special caracters [ ] (see here).
A potential solution is to change the docs to be pip install ."[tests]", sounds good?
Also right now we're listing all the optional dependencies in the docs (e.g. pip install .[dali] pip install .[haydn_op20]), and that's unsustainable. Ideas on what to do here?
The text was updated successfully, but these errors were encountered:
Hi @magdalenafuentes , a fix for the installation of optional dependencies has been merged in #600 , should we close the issue or leave it open for the follow-up question on dataset specific optional dependencies? Maybe I would suggest not adding all the dataset specific dependencies install instructions to the docs, and doing it in the docstring of each particular dataset loader, for instance. In the docs we could change it to a more general description like:
To install dataset specific dependencies, check the docstring of the particular dataset loader. It should be something similar to pip install ."[<dataset_name>]".
Following the instructions in the contributing guidelines I tried to install the tests dependencies as
but it wouldn't work unless I do
pip install ."[tests]"
. Same happens with[docs ]
.It seems to be a terminal issue, that we should skip special caracters
[ ]
(see here).A potential solution is to change the docs to be
pip install ."[tests]"
, sounds good?Also right now we're listing all the optional dependencies in the docs (e.g.
pip install .[dali] pip install .[haydn_op20]
), and that's unsustainable. Ideas on what to do here?The text was updated successfully, but these errors were encountered: