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2023-08-10Move the trait `Forest` to the crate "forest".JSDurand
The purpose of this change is to share this trait with other crates, such as the forth-coming "semiring" crate that will be responsible for handling some simple semiring operations as well as the querying, in my plans.
2023-07-21Bump version number to 0.1.20.1.2JSDurand
I have fixed another bug and think that the version of a more stable version is worth bumping the versions for.
2023-01-28a prototype of an item derivation forestJSDurand
It seems to be complete now, but still awaits more tests to see where the errors are, which should be plenty, haha.
2023-01-22forest: clone correctlyJSDurand
Now the forest can detect if a node is packed or cloned, and correctly clones a node in those circumstances. But it still needs to be tested.
2023-01-20chain: a prototype is added.JSDurand
I have an ostensibly working prototype now. Further tests are needed to make sure that the algorithm meets the time complexity requirement, though.
2023-01-13forest seems to be completedJSDurand
I seem to have finished the implementation of forests. Now it remains the implementation of the chain-rule machine, of which I have a rough plan now.
2023-01-11Record left-linear expansion and forest formatJSDurand
Now the grammar will record the left-linear expansions when generating the nondeterministic finite automaton frmo its rules, and will record whether an edge in the nondeterministic finite automaton comes from a left-linear expansion. The latter is needed because while performing a chain-rule derivation, we do not need the left-linear expanded derivations in the "first layer". This might well have been the root cause of the bad performance of the previous version of this package. Also I have figured out how to properly generate and handle parse forests while manipulating the "chain-rule machine".
2023-01-06Save before system restart.JSDurand
I am about to re-start my system, so I save before any crashes happen.
2023-01-05singly labelled graphsJSDurand
Now I have a new type of labelled graphs, which can index vertices by labels, but not index edges by labels. The biggest difference is that I do not have to keep a hashmap of edge targets by labels, and I do not have to guard against the duplication of nodes with the same set of edges. I guard against nodes with the same label, though. Also, in this graph, both vertices and edges have one label at a time, whereas in the previous labelled graph there can be a multitude of edges between the same source and target nodes, but with different labels. Now it remains to test this type of graphs, and to think through how we attach forest fragments to nondeterministic finite automata edges, and how to join forest fragments together while skipping nullable edges, in order to finish the "compilation" part.
2023-01-03structural change: separate crates outJSDurand
I put functionalities that are not strictly core to separate crates, so that the whole package becomes more modular, and makes it easier to try other parsing algorithms in the future. Also I have to figure the forests out before finishing the core chain-rule algorithm, as the part about forests affects the labels of the grammars directly. From my experiences in writing the previous version, it is asking for trouble to change the labels type dramatically at a later point: too many places need to be changed. Thus I decide to figure the rough part of forests out. Actually I only have to figure out how to attach forests fragments to edges of the underlying atomic languages, and the more complex parts of putting forests together can be left to the recorders, which is my vision of assembling semi-ring values during the chain-rule machine. It should be relatively easy to produce forests fragments from grammars since we are just trying to extract some information from the grammar, not to manipulate those information in some complicated way. We have to do some manipulations in the process, though, in order to make sure that the nulling and epsilon-removal processes do not invalidate these fragments.