Hi David,

Yes, I would be happy to update the PR. However, I still have one concern 
regarding the `computational_precision `attribute.

In the introduction to _Lossy Compression by Coordinate Sampling_ in chapter 8, 
I am planning to change the last sentence from

> The creator of the compressed dataset can control the accuracy of the 
> reconstituted coordinates through the degree of subsampling and the choice of 
> interpolation method, see [Appendix J].

to

> The creator of the compressed dataset can control the accuracy of the 
> reconstituted coordinates through the degree of subsampling, the choice of 
> interpolation method (see [Appendix J]) and the choice of computational 
> precision (see section X).


where section X will be a new short section in chapter 8 describing the 
`computational_precision ` attribute.

Recalling that we also write in the introduction to _Lossy Compression by 
Coordinate Sampling_ in chapter 8 that

> The metadata that define the interpolation formula and its inputs are 
> complete, so that the results of the coordinate reconstitution process are 
> well defined and of a predictable accuracy.

I think it would be more consistent if we make the `computational_precision ` 
attribute mandatory and not optional. Otherwise the accuracy would not be 
predictable.

Would that be agreeable?

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