[python] Outgest obsp/varp as dense

[johnkerl]

Issue and/or context: #3360

Changes:

Outgest these as dense.

Notes for Reviewer:

Closed on feedback from @ivirshup (see below). I'll repurpose the tracking task #3360 to have us outgest sparse in all cases.

[codecov]

Codecov Report

Attention: Patch coverage is 60.00000% with 2 lines in your changes missing coverage. Please review.

Project coverage is 85.77%. Comparing base (ca00d5b) to head (b2aadda).
Report is 6 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #3362      +/-   ##
==========================================
+ Coverage   85.64%   85.77%   +0.12%     
==========================================
  Files          57       57              
  Lines        6201     6194       -7     
==========================================
+ Hits         5311     5313       +2     
+ Misses        890      881       -9     

Flag	Coverage Δ
python	85.77% <60.00%> (+0.12%)	⬆️

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

Components	Coverage Δ
python_api	85.77% <60.00%> (+0.12%)	⬆️
libtiledbsoma	∅ <ø> (∅)

---- 🚨 Try these New Features:

• Flaky Tests Detection - Detect and resolve failed and flaky tests

[ivirshup]

That is a problem in the anndata docs, these should definitely be sparse.

These are typically things like nearest neighbor networks. So number of cells X number of cells with like ~15 entries per row. Very sparse!

[johnkerl]

cc @aaronwolen and @bkmartinjr -- I'll cancel this.

[bkmartinjr]

This just means that the ExperimentAxisQuery is wrong then - one does sparse, one does dense