Single shot refactoring

[Edoardo-Pedicillo]

This PR removes all the shenanigans regarding the use of different classification methods in the single shot routine and uses the same acquisition and post-processing in both single shot and resonator_amplitude protocols.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 97.01%. Comparing base (d8e8dda) to head (76b6b6f).
Report is 2 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1086      +/-   ##
==========================================
- Coverage   97.33%   97.01%   -0.33%     
==========================================
  Files         123      123              
  Lines        9844     9740     -104     
==========================================
- Hits         9582     9449     -133     
- Misses        262      291      +29     

Flag	Coverage Δ
unittests	97.01% <100.00%> (-0.33%)	⬇️

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

Files with missing lines	Coverage Δ
src/qibocal/auto/operation.py	97.95% <100.00%> (+0.01%)	⬆️
src/qibocal/fitting/classifier/qubit_fit.py	98.43% <100.00%> (-1.57%)	⬇️
src/qibocal/fitting/classifier/run.py	62.18% <ø> (-35.30%)	⬇️
src/qibocal/protocols/classification.py	100.00% <100.00%> (+5.94%)	⬆️
src/qibocal/protocols/qutrit_classification.py	100.00% <100.00%> (ø)
...tocols/readout_optimization/resonator_amplitude.py	100.00% <100.00%> (ø)
...tocols/readout_optimization/resonator_frequency.py	99.00% <100.00%> (ø)
src/qibocal/protocols/utils.py	94.18% <100.00%> (+1.15%)	⬆️

... and 3 files with indirect coverage changes