modified:   exp/exp.py
- only formatting cleanup
modified:   learner.py
- some arguments removed, self.factors added, definitely not working
  yet, 3% of reimplementation is done
modified:   learner.py
- randomize_automaton_change now takes a factor as argument
- not two different directions are negations of each other, not the old
  (2.0 - original) formula
modified:   create_3state_wfsa.py
- rounding
modified:   automaton.py
- boost_edge now accepts logprob
- when reading error from dump, more detailed error message
modified:   learner.py
- now factors and temperatures are working in the new way
modified:   ../learner.py
- bugfix: changeback did a reciprocial revertion instead of -original
modified:   ../automaton.py
- some old code removed
- testing whether < 0 is not sufficient, because 0 is sometimes +x e -15
modified:   ../quantizer.py
- my_round() is not used anymore because of float precision errors
- first(), last() and shift methods added to make steps between levels
  easier
modified:   exp.py
- with new factors, exp now is implemented in a way that it counts
  factors
modified:   ../learner.py
- when having quantizer, now factor is computed somehow else
Merge branch 'master' of github.com:recski/py-wfsa-learner
Merge branch 'smartfactor'

Conflicts:
	exp/exp.py
	learner.py
modified:   exp.py
- little more generalized checkpointing that accepts variable number of
  arguments
modified:   ../learner.py
- calls checkpoints with factor AND temperature