ENH: group BUSCO stats into collapsible sections for better display

[misialq]

This PR addresses the problem of displaying BUSCO results for hundreds and thousands of MAGs. The problem with the previous solution was its reliance on vegafusion transformer which caused some installation issues in our distro. This PR tries to approach the problem differently:

• split the entire DataFrame with all the results into smaller partitions, each containing max. 100 MAGs
• display plots per partition
• place the plots in collapsible Bootstrap accordion to not overwhelm the user with all the plots
• allow to pick a specific sample from a dropdown and identify the section of the accordion where it sits so that the user doesn't need to uncollapse everything

Closes #140.

[codecov]

Codecov Report

Attention: Patch coverage is 97.86822% with 11 lines in your changes are missing coverage. Please review.

Project coverage is 97.72%. Comparing base (3b48539) to head (37a7241).
Report is 1 commits behind head on main.

Files	Patch %	Lines
q2_moshpit/partition/busco.py	36.36%	7 Missing ⚠️
q2_moshpit/busco/tests/test_busco.py	96.55%	2 Missing ⚠️
q2_moshpit/busco/busco.py	98.71%	1 Missing ⚠️
q2_moshpit/busco/types/_format.py	95.00%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #148      +/-   ##
==========================================
- Coverage   97.76%   97.72%   -0.04%     
==========================================
  Files          53       64      +11     
  Lines        3126     3390     +264     
==========================================
+ Hits         3056     3313     +257     
- Misses         70       77       +7     

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[Sann5]

Hey Michal! Crazy amount of work that you put into this one 👨🏼‍💻! I really like how it looks now ✨ . Also I imagine the added information with in the index page (the histograms) can be very valuable to users 📈 .

Most of my review I did in single comments already. This is just the conclusion message.

• ✅ All test pass in my local machine.
• ✅ I tried the action on two different inputs and I could not find any issues with the visualizations.