Fix gh cron CI

[IAlibay]

Trying to get Cron CI back to green.

Work done in this PR:

• remove GSD pin
• switch from removed np.float_ to np.float64
• switch from removed np.NaN to np.nan

Developers certificate of origin

• I certify that this contribution is covered by the LGPLv2.1+ license as defined in our LICENSE and adheres to the Developer Certificate of Origin.

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📚 Documentation preview 📚: https://mdanalysis--4272.org.readthedocs.build/en/4272/

[codecov]

Codecov Report

Patch coverage: 100.00% and project coverage change: -0.01% ⚠️

Comparison is base (957430b) 93.40% compared to head (ac18bd4) 93.39%.
Report is 1 commits behind head on develop.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #4272      +/-   ##
===========================================
- Coverage    93.40%   93.39%   -0.01%     
===========================================
  Files          169      184      +15     
  Lines        22204    23333    +1129     
  Branches      4064     4065       +1     
===========================================
+ Hits         20740    21793    +1053     
- Misses         948     1024      +76     
  Partials       516      516              

Files Changed	Coverage Δ
package/MDAnalysis/lib/util.py	89.65% <100.00%> (ø)

... and 18 files with indirect coverage changes

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[github-actions]

Linter Bot Results:

Hi @IAlibay! Thanks for making this PR. We linted your code and found the following:

Some issues were found with the formatting of your code.

Code Location	Outcome
main package	✅ Passed
testsuite	⚠️ Possible failure

Please have a look at the darker-main-code and darker-test-code steps here for more details: https://github.com/MDAnalysis/mdanalysis/actions/runs/6030011856/job/16360914068

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Please note: The black linter is purely informational, you can safely ignore these outcomes if there are no flake8 failures!

[orbeckst]

Are both necessary to fix the cron-ci? Anyways, LGTM!

[IAlibay]

Are both necessary to fix the cron-ci? Anyways, LGTM!

Well one both led to failures if that helps - this should let us have a green badge for now.. until the next numpy change