fix: find_label_errors raising AttributeError with numpy>=1.24.0

[gabrielmbmb]

Description

The _construct_s_and_psx function was still using np.float alias to Python builtin float which was removed in numpy==1.24.0 causing an AttributeError to be raised.

This PR has replaced np.float by float.

Closes #3213

Type of change

• Bug fix (non-breaking change which fixes an issue)

How Has This Been Tested

The unit tests in tests/labeling/text_classification/test_label_errors.py don't fail anymore when numpy>=1.24.0.

Checklist

• I have merged the original branch into my forked branch
• I added relevant documentation
• follows the style guidelines of this project
• I did a self-review of my code
• I made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• I have added relevant notes to the CHANGELOG.md file (See https://keepachangelog.com/)

[codecov]

Codecov Report

Patch coverage: 100.00% and project coverage change: +0.26 🎉

Comparison is base (3672971) 90.70% compared to head (b07b1ad) 90.96%.

❗ Current head b07b1ad differs from pull request most recent head 918950f. Consider uploading reports for the commit 918950f to get more accurate results

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #3214      +/-   ##
===========================================
+ Coverage    90.70%   90.96%   +0.26%     
===========================================
  Files          215      216       +1     
  Lines        11323    11386      +63     
===========================================
+ Hits         10270    10357      +87     
+ Misses        1053     1029      -24     

Flag	Coverage Δ
pytest	90.96% <100.00%> (+0.26%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
...gilla/labeling/text_classification/label_errors.py	90.24% <100.00%> (ø)

... and 21 files with indirect coverage changes

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[alvarobartt]

LGTM!