Refactor preprocess

[lkorczowski]

• [x] refactor preprocess to admit scalable pipeline
• [x] pytest
• [x] add the option of episode transform

other refactors

• [x] move merge_labels_list to utils
• [x] move fuse_classif_label to utils
• [x] all refactoring mentioned in #70

closes #71 closes #74 closes #70

[review-notebook-app[bot]]

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Codecov Report

Merging #67 into master will not change coverage. The diff coverage is 100.00%.

@@            Coverage Diff            @@
##            master       #67   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files           12        12           
  Lines          597       636   +39     
=========================================
+ Hits           597       636   +39     

Impacted Files	Coverage Δ
tinnsleep/events/burst.py	100.00% <ø> (ø)
tinnsleep/classification.py	100.00% <100.00%> (ø)
tinnsleep/events/__init__.py	100.00% <100.00%> (ø)
tinnsleep/events/episode.py	100.00% <100.00%> (ø)
tinnsleep/events/scoring.py	100.00% <100.00%> (ø)
tinnsleep/reports.py	100.00% <100.00%> (ø)
tinnsleep/signal.py	100.00% <100.00%> (ø)
tinnsleep/utils.py	100.00% <100.00%> (ø)

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[lkorczowski]

just for fun on np.random.randn(20, 40000)

Impedance_thresholding_sliding time execution: 4.82ms
AmplitudeThresholding (including epoching) time execution: 0.53ms

10 times faster

on np.random.randn(200, 400000)

Impedance_thresholding_sliding time execution: 717ms
AmplitudeThresholding (including epoching) time execution: 45ms

yep, still 10 times faster