John Ohno

Real unification is hard & making real unification fast is a lot harder. It seems like real unification is neither necessary nor desirable here, though. If you're solving constraints in...

Yeah. My plan was to hand-craft templates for short stuff and plug them into the larger structure with a much independence as possible. Making sure that the number of generated...

This reminds me of Michael Paulukonis' PortSkyBot ( https://twitter.com/portskybot) On Wed, Nov 8, 2017 at 10:51 AM Hugh Barnard wrote: > I have some very messy Python that: > >...

This sounds both extremely readable & extremely doable. I look forward to seeing it :)

The current plan is to: 1) take the initial input text and lay it out as the left side of a single (complete) path, adding random 90-degree kinks in order...

So, my geometric reasoning is terrible & I'm having an unreasonably hard time with my initial test of this code (just laying text out in a spiral). I got an...

So, this isn't going to happen this month. I will do something else, & try to finish this later.

I haven't finished classifying all the vocabulary but I did create a [novel-length sample](https://raw.githubusercontent.com/enkiv2/misc/master/nanogenmo-2020/holmes_sample1.md), including "The Return of THEM", "The Adventures of THEM", and "The Memoirs of THEM".

To run this, you first use [genvocab.sh](https://github.com/enkiv2/misc/blob/master/nanogenmo-2020/genvocab.sh) to produce names.candidates (a list of all non-dictionary-words), then sort the contents (manually) into person.names, place.names, and time.names; once that's done, run [genholmes.sh](https://github.com/enkiv2/misc/blob/master/nanogenmo-2020/genholmes.sh).

@hugovk can I get a sample & completed label for this?