Delay message formatting

[fraimondo]

Currently, we have quite some calls to logger.debug and logger.info that print large messages, like this:

logger.info(f"Features: {X}")

The problem is that first the message is formatted and then the logging level is checked.

This PR introduces a mechanism to delay message formatting until the moment they are needed.

[codecov]

Codecov Report

❌ Patch coverage is 92.59259% with 6 lines in your changes missing coverage. Please review.
✅ Project coverage is 89.94%. Comparing base (225f225) to head (94f6e02).

Files with missing lines	Patch %	Lines
julearn/pipeline/pipeline_creator.py	91.66%	2 Missing ⚠️
julearn/prepare.py	77.77%	1 Missing and 1 partial ⚠️
julearn/model_selection/_skopt_searcher.py	66.66%	1 Missing ⚠️
...n/transformers/target/ju_generated_target_model.py	66.66%	1 Missing ⚠️

❌ Your patch check has failed because the patch coverage (92.59%) is below the target coverage (95.00%). You can increase the patch coverage or adjust the target coverage.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #301      +/-   ##
==========================================
+ Coverage   89.92%   89.94%   +0.01%     
==========================================
  Files          58       58              
  Lines        2800     2825      +25     
  Branches      497      498       +1     
==========================================
+ Hits         2518     2541      +23     
- Misses        181      182       +1     
- Partials      101      102       +1     

Flag	Coverage Δ
docs	100.00% <ø> (ø)
julearn	89.94% <92.59%> (+0.01%)	⬆️

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

Files with missing lines	Coverage Δ
julearn/api.py	88.77% <100.00%> (+0.06%)	⬆️
julearn/config.py	100.00% <100.00%> (ø)
julearn/model_selection/_optuna_searcher.py	84.09% <100.00%> (+0.36%)	⬆️
julearn/model_selection/available_searchers.py	94.44% <100.00%> (+0.15%)	⬆️
julearn/models/available_models.py	100.00% <100.00%> (ø)
julearn/scoring/available_scorers.py	90.41% <100.00%> (+0.13%)	⬆️
julearn/transformers/available_transformers.py	100.00% <100.00%> (ø)
julearn/transformers/dataframe/drop_columns.py	87.87% <100.00%> (+0.37%)	⬆️
julearn/transformers/dataframe/pick_columns.py	80.00% <100.00%> (+0.51%)	⬆️
julearn/transformers/dataframe/set_column_types.py	100.00% <100.00%> (ø)
... and 6 more

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[github-actions]

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