numpy deprecation warning filter for v1.24.0

[bmorris3]

Numpy v1.24.0 triggers several deprecation warnings in scikit-image. See progress on fixes in scikit-image/scikit-image#6633, and failure in #1834.

This PR tries to filter out that specific deprecation warning.

Description

This pull request is to address ...

Fixes #

Change log entry

• Is a change log needed? If yes, is it added to CHANGES.rst? If you want to avoid merge conflicts,
  list the proposed change log here for review and add to CHANGES.rst before merge. If no, maintainer
  should add a no-changelog-entry-needed label.

Checklist for package maintainer(s)

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• Are two approvals required? Branch protection rule does not check for the second approval. If a second approval is not necessary, please apply the trivial label.
• Do the proposed changes actually accomplish desired goals? Also manually run the affected example notebooks, if necessary.
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• Are tests added/updated as required? If so, do they follow the STScI Style Guides?
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• Did the CI pass? If not, are the failures related?
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[codecov]

Codecov Report

Base: 88.37% // Head: 88.37% // No change to project coverage 👍

Coverage data is based on head (c12b10a) compared to base (bcc29e7).
Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #1873   +/-   ##
=======================================
  Coverage   88.37%   88.37%           
=======================================
  Files          95       95           
  Lines       10456    10456           
=======================================
  Hits         9241     9241           
  Misses       1215     1215           

Impacted Files	Coverage Δ
...onfigs/mosviz/plugins/slit_overlay/slit_overlay.py	71.05% <100.00%> (ø)

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[pllim]

Blanket ignore seems overkill for something that only crops up on dev job.

Lemme catch up on the logs and see if we can do something more localized.

[bmorris3]

@pllim – to help you up to speed, see this warning, for example.

Would you be more comfortable with a more specific ignore for np.bool8 is a deprecated alias for np.bool_.?

[pllim]

Argh, so it is from glue_jupyter/bqplot/image/layer_artist.py import. That is unfortunately. Yes, a more specific ignore as you suggested would be safer, so we do not accidentally ignore other deprecation warning from numpy. Thanks!

[pllim]

You might need to fix the regex.

[bmorris3]

@pllim That's what I was worried about, but couldn't figure out how to test it locally. Trying again.

[pllim]

Maybe it was int0 and not uint0 or both?

DeprecationWarning: `np.int0` is a deprecated alias for `np.intp`.

[pllim]

Also these are strictly upstream right? Do you plan to fix uint0 and int0 upstream too?

[pllim]

When CI pass, I will squash and merge.

Note to self: Open follow up issue to undo this.

[pllim]

Remaining failures in the devdeps job all use https://stsci.box.com/shared/static/exnkul627fcuhy5akf2gswytud5tazmw.fits . Curious that this file worked with the other remote data job but not this one, but investigating it is out of scope here.

Update: Maybe this file is too old and not compatible with latest asdf stuff. Should replace it with real data from orbit.

[pllim]

I backported this to v3.1.x in d7ec0ab