Deepnano labels

[adbailey4]

data_preparation.py - Added quite a bit of error handling as well as implementing the deepnano labeling scheme. The version they were using was with fast5 files from an older chemistry which meant that some of the steps had to approximated. Also, instead of implementing their exact algorithm for creating alignment calls, I introduced my own heuristic for determining which events are labelled and which are not. We will see what works. error.py - Added another Error for catching specific errors in data_preparation.py run_nanotensor.py - Added a small note in one of the methods for determining memory usage data_preparation_test.py - Added a number of tests and some more indepth testing to keep track of many of the features that are currently in place utils_test.py - Added check_duplicate_characters test utils.py - Edited sum_to_one method. This may be a bottleneck for analysis so we may need to identify a faster method.

Moved pickle files to test_files/data_prep_test_files Removed files no-longer being referenced Added a very short tsv test file to increase speed of our tests

[codecov[bot]]

Codecov Report

Merging #40 into master will increase coverage by 9.24%. The diff coverage is 77.11%.

@@            Coverage Diff             @@
##           master      #40      +/-   ##
==========================================
+ Coverage   16.69%   25.93%   +9.24%     
==========================================
  Files           9        9              
  Lines        1084     1226     +142     
==========================================
+ Hits          181      318     +137     
- Misses        903      908       +5

Impacted Files	Coverage Δ
nanotensor/run_nanotensor.py	0% <ø> (ø)	:arrow_up:
nanotensor/utils.py	37.19% <100%> (+10.07%)	:arrow_up:
nanotensor/data_preparation.py	81.75% <75.27%> (+5.89%)	:arrow_up:
nanotensor/error.py	59.25% <83.33%> (+6.87%)	:arrow_up:

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