RFC: More principled errors

[ericphanson]

closes #74

This captures my thoughts on what I think EDF.jl should do:

• writing onset/durations is different than header files and has different requirements. Use a different function for that, and use more precision (e.g. match EDFlib's 100ms precision)
• errors should include which header field was attempting to be written, important for debugging
• 0 isn't special; too much roundoff of encoding parameters causes errors, regardless of what value we round to (see https://github.com/beacon-biosignals/OndaEDF.jl/issues/90). Since the caller is charge of encoding, the best we can do is check the values they give. Here I allow absolute error up to 1e-3 but I don't know if that's too strict or too loose.
• I don't think scientific notation (#70) is very important. I guess it could be if callers need to have very large or very small precise encoding parameters. More important is that the error should be if the roundtripping error is too large to reliably encode/decode or not.

This should probably only be merged/released after OndaEDF reliably chooses "good" encoding parameters that don't incur too much roundoff (xref https://github.com/beacon-biosignals/OndaEDF.jl/issues/90)), and this should likely be a breaking release of EDF.jl.

TODO:

• decide tolerance value. If we want to be super strict, could even be 0, requiring our callers to give exactly representable encoding values.
• decide whether to use relative or absolute tolerance
• decide if file.header.seconds_per_record requires a different tolerance or not. So far I've only been thinking about the 4 encoding parameters, but that is the remaining floating point value

[codecov[bot]]

Codecov Report

Merging #75 (f6fbea2) into main (2eef49f) will increase coverage by 0.48%. The diff coverage is 97.82%.

@@            Coverage Diff             @@
##             main      #75      +/-   ##
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+ Coverage   95.59%   96.07%   +0.48%     
==========================================
  Files           4        4              
  Lines         295      306      +11     
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+ Hits          282      294      +12     
+ Misses         13       12       -1     

Files	Coverage Δ
src/types.jl	89.65% <ø> (-1.78%)	:arrow_down:
src/write.jl	96.94% <97.82%> (+1.33%)	:arrow_up:

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[ericphanson]

BTW, to choose the tolerance, given the 4 encoding parameters as Float64, we can actually compute the error in roundtripped sample (after encoding & decoding with rounded values) and choose a tolerance in data-space rather than a tolerance in encoding-parameter-space (which would be actually "principled"). For example, we could have a principle that the additional maximal error incurred by "rounding of encoding parameters" should be less than half of the error incurred by quantization in the first place. Given digital min/max, physical min/max, we should be able to actually compute both errors analytically. This would require evaluating all 4 together, rather than each separately.

[ericphanson]

@ararslan would love to know your thoughts here!