I think NumPy has always tried to have effectively no install dependencies at least when installed from source (minimal install from git only requires Cython). This seems like a good goal to me and there are scenarios where extra packages are a burden (e.g., Amazon Lambda). AFAICT pretty much every package in the numerical python ecosystem excludes test dependencies from setup requires or install requires.

Kevin

I just installed NumPy using pip and Python 3.9.7 on CentOS 7.9.

Installation went fine, but when I ran

>>> import numpy

>>> numpy.test()

I got a traceback, and this summary.

short test summary info

ERROR - ModuleNotFoundError: No module named 'hypothesis'

!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!

It seems that both hypothesis and pytest are needed to run numpy.test().

We like to be able to run all the tests even after a pip install, and

being able to run some of the tests from pip-installed numpy is useful

as well.

May I suggest you add those two packages as dependencies for NumPy at

PyPi? Neither are particularly large, both are generally useful, and

I think the potential utility for those who would ike to check on

their own system for anomalies outweighs the minimal impact on the

majority of users who would not use it but would also probably not

notice their presence.

If adding them as dependencies seems to heavy weight, or is otherwised

deemed undesirable, perhaps just a note in the Project Description at

https://pypi.org/project/numpy/ to say that, if you want to run tests,

those two packages will be needed?

Thanks, -- bennet

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