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but that is in opposition with the active metadata on PyPI which states that Python 3.8+ is required. If you use a Python 3.7 runtime to install ipyannotator you get an old version of v0.4.0 which is not a version that is part of the review.
Additionally, because of the way that Poetry locks down things the dependencies that are listed in the documentation are very severely out of date/inaccurate. Instead of the 4 listed dependencies ipyannotator actually incurs 15 dependencies. The additonal constraints that are imposed with Poetry's syntax means that the claim that Python 3.8+ is supported is technically true, but there are multiple instances in which wheels are not available for modern CPython. For example, for Python 3.10 the Poetry constraint on scikit-image of
scikit-image = "^0.18.3"
translates to scikit-image<0.19.0,>=0.18.3 and as can be seen from PyPI and
$ python -m pip index versions scikit-imageWARNING: pip index is currently an experimental command. It may be removed/changed in a future release without prior warning.scikit-image (0.19.3)Available versions: 0.19.3, 0.19.2, 0.19.1, 0.19.0, 0.18.3, 0.18.2, 0.18.1, 0.18.0, 0.17.2, 0.17.1, 0.16.2, 0.15.0, 0.14.5, 0.14.3, 0.14.2, 0.14.1, 0.14.0, 0.13.1, 0.13.0, 0.12.3, 0.12.2, 0.12.1, 0.12.0, 0.11.3, 0.11.2, 0.10.1, 0.10.0, 0.9.3, 0.9.1, 0.9.0, 0.8.2, 0.8.1, 0.8.0, 0.7.2 INSTALLED: 0.18.3 LATEST: 0.19.3
that leaves exactly one viable version, scikit-imagev0.18.3 for which there is no Python 3.10 wheel available and so the wheel has to be built from the sdist.
So while it is possible to install ipyannotator on Python 3.10 it takes quite some time and results in a large collection of dependencies
$ python -m pip freeze | wc -l105
that are extremely constrained. This is of course technically fine, but the lines of what is a "framework" and what is an "application" are starting to merge quite a bit as if ipyannotator is meant to be used alongside other software in an environment it is far too restricting.
The documentation around the installation should try to clarify this or make it clear that the versions of Python that the authors intend the software to be used with are more constrained then what is currently shown.
The text was updated successfully, but these errors were encountered:
For the JOSS functionality check of openjournals/joss-reviews#4480
Yes, but not in a satisfactory manner. The instructions are to run
$ pip install ipyannotator
however, the unversioned documentation (so need to use the README) and
setup.py
viasettings.ini
claims thatipyannotator
supports Python 3.7+ipyannotator/settings.ini
Line 13 in d19fbc7
but that is in opposition with the active metadata on PyPI which states that Python 3.8+ is required. If you use a Python 3.7 runtime to install
ipyannotator
you get an old version ofv0.4.0
which is not a version that is part of the review.Additionally, because of the way that Poetry locks down things the dependencies that are listed in the documentation are very severely out of date/inaccurate. Instead of the 4 listed dependencies
ipyannotator
actually incurs 15 dependencies. The additonal constraints that are imposed with Poetry's syntax means that the claim that Python 3.8+ is supported is technically true, but there are multiple instances in which wheels are not available for modern CPython. For example, for Python 3.10 the Poetry constraint onscikit-image
oftranslates to
scikit-image<0.19.0,>=0.18.3
and as can be seen from PyPI andthat leaves exactly one viable version,
scikit-image
v0.18.3
for which there is no Python 3.10 wheel available and so the wheel has to be built from the sdist.So while it is possible to install
ipyannotator
on Python 3.10 it takes quite some time and results in a large collection of dependenciesthat are extremely constrained. This is of course technically fine, but the lines of what is a "framework" and what is an "application" are starting to merge quite a bit as if
ipyannotator
is meant to be used alongside other software in an environment it is far too restricting.The documentation around the installation should try to clarify this or make it clear that the versions of Python that the authors intend the software to be used with are more constrained then what is currently shown.
The text was updated successfully, but these errors were encountered: