This release is a pre-release and may not be stable for production use.
-- N-Ary tree class supported various search algorithms: pre-order, post-order, breadth-first
heuristic (you should provide heuristic function) and random sampling.
-- State space generation/search.
-- Basic graph class. Implements generic directed graph.
-- Finite automata graph. Implements discrete finite automata state machine on base of BasicGraph class.
-- Processing graph. Implements network of asynchronius processing units, running in separate threads.
Intended to be used as complex pipeline (pipenet) for machne learning or data processing.
Dependency:
Package does not have extra dependencies except python standard library
Installation:
Standard installation for pure python modules
Usage examples:
Each modute has test() function which implement brief self-testing and may serve as usage example
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