The base graph implementation has been moved into its own package,
`graph`, and been made fully generic, ie the value on each vertex/edge
is a parameterized type. This will allow us to use the graph for both
syntax parsing (gg) and runtime evaluation (vm), with each use-case
being able to use slightly different Value types.
The vm does what it needs to do (evaluate the result of passing an input
to an operatio, where the input and the operation themselves may have
sub-inputs/operations to evaluate), with many caveats/misgivings.
Three new methods, EdgeValue, FromValue, and FromTuple, have been added
to OpenEdge in order to allow future users of the gg package to traverse
the graph.
The decoder basically works, though there's some quirks in the design
I'll need to marinate one. For example, you can't have a tuple as an
edge value. This is probably fine?
Stringification of Graphs was added to aid in debugging the decoder, the
format it outputs is not the final one. Most likely the (future) encoder
will be used for that purpose.
The decoder is not implemented in the nicest way; it fully reads in the
LexerTokens first, and then processes. This made trying to wrap my head
around the problem a lot easier because it left fewer failure cases, but
it's not the most efficient thing to do.
Now that v0 is done it's pretty plain to see that the decoder could work
by only reading in the next N tokens that it needs at a time. But that
will be left for a future version.
An empty `Value` is now valid.
It is now possibly to change the edgeVal of an OpenEdge. It feels like
this shouldn't be necessary, but it greatly simplifies the decoding
logic to have this.
A tuple which is created with just one input edge, and with no edge
value of its own, is now automatically simplified to just that input
edge.
`gg.Graph` has been reworked in its internal functionality, to more
closely match the capability of a purely stack-based implementation. The
current implementation is _very_ inefficient, however. Tests have been
deliberately left pretty sparse, as I expect the internals to continue
to change significantly.
