Feat/use sh testing utils

[zigaLuksic]

In many tests we used statistical comparisons, but we have a utility function for that in sh-py! And it works pretty well if one enables pytest assert propagation to reach it (done in conftest.py).

I updated all the tests in eolearn.features to this format, and the tests become a fair bit shorter and much more readable (when you look at the test case you know which number is which statistic without having to memorize order etc.)

Some values had to be adjusted because the delta went from absolute to relative (current util implementation does not support absolute delta, will need to update)

[codecov-commenter]

Codecov Report

Base: 83.58% // Head: 83.67% // Increases project coverage by +0.08% 🎉

Coverage data is based on head (64c1e8f) compared to base (966ab93).
Patch has no changes to coverable lines.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop     #504      +/-   ##
===========================================
+ Coverage    83.58%   83.67%   +0.08%     
===========================================
  Files           60       60              
  Lines         5685     5671      -14     
===========================================
- Hits          4752     4745       -7     
+ Misses         933      926       -7     

Impacted Files	Coverage Δ
features/eolearn/features/feature_manipulation.py	96.33% <0.00%> (-0.07%)	⬇️
io/eolearn/io/sentinelhub_process.py	89.21% <0.00%> (+2.03%)	⬆️

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[jgersak]

LGTM
One question should we first check that added_feature is really deleted from eopatch
or that would be duplication of test for del function?

[zigaLuksic]

LGTM One question should we first check that added_feature is really deleted from eopatch or that would be duplication of test for del function?

yeah, no reason to test del here IMO