Process and save datasets in a project

[clairezurn]

Is your feature request related to a problem? Please describe.
Original Automagic package (https://github.com/methlabUZH/automagic) is in MATLAB and thus inaccessible to Python users. Additionally, source code is hard to read and follow (a potential for better documentation).

Solution
To start, a well-documented class called Block, with relevant attributes and methods associated with a single dataset.

Additional context
Should be equivalent to the same class in the MATLAB version of the package (https://github.com/methlabUZH/automagic/blob/master/src/Block.m). However, ideally, removing unnecessary or redundant code.

[adam2392]

So in terms of "Solution", would potentially help to explicitly list out the core functionality of Block, so the unit/integration tests should just reflect those core funcs.

Easier to match one to one. Everything else looks pretty good. @bdpedigo @j1c any comments here?

[clairezurn]

Solution core functionality:

• Load a particular data file
• Preprocess data file
• Interpolate the automatically detected bad channels
• Write and save a log of what occurred during processing
• Retrieve quality scores and rating
• Save processed data file, quality and rating info, and figures generated during preprocessing to results folder
• Retrieve previous results from file and update accordingly

[adam2392]

Looks like #7 will help address prototyped functionality of the above funcs. It remains to be determined via one long integration test, whether or not every functionality is met without bugs.