v.1.6.0

New algorithm: hW

• AALpy now implements hW-inference: A heuristic approach to retrieve models black box testing
  • Resetless learning (resets the SUL only once, at the start of the algorithm)
  • Optionally resets the SUL few more times at the very end, to determine the initial state
  • Supports resetless learning of Mealy machines
    • Support for DFAs/Moores might follow in future releases

Minor changes

• minor bug fixes
• ensure that RPNI's utility functions are deterministic