Experience sampling task derivative

[htwangtw]

I accidentally closed PR #7

This derivative will include:

• Experience-sampling probes from the n-back task in one spreadsheet
• Task performance of the n-back task

The tool will allow maintainer to update the derivative when new data is added. Consider writing a Makefile to streamline the process.

To-do list

• [x] functions to extract probes
• [x] write test
• [x] check CI
• [ ] add flake8 to gitub action for formating

[codecov[bot]]

Codecov Report

Merging #9 (4bfe195) into main (06dcf59) will decrease coverage by 0.75%. The diff coverage is 93.61%.

@@            Coverage Diff             @@
##             main       #9      +/-   ##
==========================================
- Coverage   98.16%   97.40%   -0.76%     
==========================================
  Files           7        5       -2     
  Lines         273      193      -80     
==========================================
- Hits          268      188      -80     
  Misses          5        5              

Flag	Coverage Δ
unittests	97.40% <93.61%> (-0.76%)	:arrow_down:

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

Impacted Files	Coverage Δ
adie/nback.py	89.47% <89.47%> (ø)
adie/bids.py	96.42% <96.42%> (ø)
test/spike_test.py
test/dataset_test.py
test/beh2bids_test.py

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[sourcery-ai[bot]]

Sourcery Code Quality Report

Merging this PR leaves code quality unchanged.

Quality metrics	Before	After	Change
Complexity	0.00 ⭐	0.00 ⭐	0.00
Method Length	28.00 ⭐	28.00 ⭐	0.00
Working memory	10.00 😞	10.00 😞	0.00
Quality	80.08% ⭐	80.08% ⭐	0.00%

Other metrics	Before	After	Change
Lines	19	19	0

Changed files	Quality Before	Quality After	Quality Change
setup.py	80.08% ⭐	80.08% ⭐	0.00%

Here are some functions in these files that still need a tune-up:

File	Function	Complexity	Length	Working Memory	Quality	Recommendation

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