def __init__ ( self, wbLevers, homeScale, homeChord, duration, melodyPL ) :
self.melodyPL = melodyPL
self.maxNoteIndex = len(melodyPL)
self.printMelodyNotes ( self.melodyPL )
self.desc = 'melody5'
self.duration = duration
self.homeChord = homeChord
self.homeScale = homeScale
self.speed = wbLevers['rhythmSpeed']
# initialize the state attributes for the melody5 layer
self.StateAttributes = StateAttributes.StateAttributes['melody5']
self.numFeatures = len( self.StateAttributes )
self.features = [ i for i in range(self.numFeatures) ]
layerParams = None
# initialize actions for the melody5 layer
self.Knobs, self.Actions, self.ReverseActions = ComplexityKnobs.setKnobs ( self.desc, wbLevers['complexity'], layerParams )
self.numActions = len(self.Actions)
self.defaultAction = 1 #'PLAY_CHORD_TONE'
# Create the melody5 environment
self.env = Environment.Melody5Environment( wbLevers['tse'], wbLevers['phraseLength'], self.homeScale, self.homeChord )
# Initialize the melody5 environment variables
self.env.InitializeEnvironment ( self.homeScale )
self.env.printEnvironmentVariables ()
# Initialize the RL data Structures
self.initializeQLearningObject ( 0 )
self.trainedData = collections.OrderedDict()
def __init__(self, wbLevers, scale, chord, duration, rhythm):
self.desc = 'bass2'
self.duration = duration
self.rhythm = rhythm
self.homeChord = chord
self.homeScale = scale
self.id = wbLevers['id']
# initialize the state attributes for the bass2 layer
self.StateAttributes = StateAttributes.StateAttributes[self.desc]
self.numFeatures = len(self.StateAttributes)
self.features = [i for i in range(self.numFeatures)]
isRL = False
if isRL:
layerParams = None
# initialize actions for the bass2 layer
self.Knobs, self.Actions, self.ReverseActions = ComplexityKnobs.setKnobs(
self.desc, wbLevers['complexity'], layerParams)
self.numActions = len(self.Actions)
self.defaultAction = 0 #'PLAY_HOME_NOTE'
# Create the bass2 environment
self.env = Environment.Bass2Environment(wbLevers['tse'],
wbLevers['phraseLength'],
scale, chord)
# Initialize the bass2 environment variables
self.env.InitializeEnvironment(scale)
# self.env.printEnvironmentVariables ()
# Initialize the RL data Structures
self.initializeQLearningObject(0)
self.trainedData = []
else:
layerParams = None
# initialize actions for the bass2 layer
self.Knobs, self.Actions, self.ReverseActions = ComplexityKnobs.setKnobs(
self.desc, wbLevers['complexity'], layerParams)
self.numActions = len(self.Actions)
def __init__(self, wbLevers, scale, chord, ids, duration):
wbLevers['complexity'] = 'semi_complex'
self.desc = 'melody5'
self.duration = duration
self.homeChord = chord[0]
self.homeScale = scale[0]
self.speed = wbLevers['rhythmSpeed']
# store all chord ids with same duration
self.chordIds = ids
# if there is more than one chord with the same duration store them here. Will be used later to fill the actions based on the first learned chord for this duration
self.otherChords = chord
self.otherScales = scale
# initialize the state attributes for the melody5 layer
self.StateAttributes = StateAttributes.StateAttributes['melody5']
self.numFeatures = len(self.StateAttributes)
self.features = [i for i in range(self.numFeatures)]
layerParams = None
# initialize actions for the melody5 layer
self.Knobs, self.Actions, self.ReverseActions = ComplexityKnobs.setKnobs(
self.desc, wbLevers['complexity'], layerParams)
self.numActions = len(self.Actions)
self.defaultAction = 1 #'PLAY_CHORD_TONE'
# Create the melody5 environment
self.env = Environment.Melody5Environment(wbLevers['tse'],
wbLevers['phraseLength'],
self.homeScale,
self.homeChord)
# Initialize the melody5 environment variables
self.env.InitializeEnvironment(self.homeScale)
self.env.printEnvironmentVariables()
# Initialize the RL data Structures
self.initializeQLearningObject(0)
self.trainedData = collections.OrderedDict()
if (prnFlag):
self.PrintClassInfo()
def __init__(self, wbLevers, scale, chord, duration, rhythm):
self.desc = 'bass3'
self.duration = duration
self.homeChord = chord
self.rhythm = rhythm
self.homeScale = scale
self.id = wbLevers['id']
self.tse = wbLevers['tse']
# initialize the state attributes for the bass2 layer
#self.StateAttributes = StateAttributes.StateAttributes[self.desc]
#self.numFeatures = len( self.StateAttributes )
#self.features = [ i for i in range(self.numFeatures) ]
layerParams = None
# initialize actions for the bass2 layer
self.Knobs, self.Actions, self.ReverseActions = ComplexityKnobs.setKnobs(
self.desc, wbLevers['complexity'], layerParams)
self.numActions = len(self.Actions)
if (0):
for rhy in self.rhythm:
print(self.rhythm[rhy])
def __init__(self, wbLevers):
self.desc = 'bass1'
self.tse = Constants.TSEs[wbLevers['tse']]
self.primaryScale = wbLevers['primaryScale']
self.id = wbLevers['id']
self.mood = wbLevers['mood']
self.complexity = wbLevers['complexity']
# initialize the state attributes for the bass1 layer
self.StateAttributes = StateAttributes.StateAttributes['bass1']
self.numFeatures = len(self.StateAttributes)
self.features = [i for i in range(self.numFeatures)]
self.trueMinPenalty = 4 # ( 4 + 0 + 0 )
self.trueMaxPenalty = -24 # ( 0 + ( -5 ) + ( -19 ) )
self.penaltyBase = (
self.trueMaxPenalty * -1
) + 1 # why 25, beacuse the adder for making all penalties positive is 25. why 25, because the maximum penalty is -24 and the min penalty = 4
self.penaltyMin = self.penaltyBase + self.trueMinPenalty # so min penalty after adder = 4+25 = 29
self.penaltyMax = self.penaltyBase + self.trueMaxPenalty # so max penalty after adder = -24 + 25 = 1
self.trueMinPenalty = 7
self.trueMaxPenalty = -19
self.penaltyBase = (
self.trueMaxPenalty * -1
) + 1 # why 20, beacuse the adder for making all penalties positive is 20. why 20, because the maximum penalty is -19 and the min penalty = 7
self.penaltyMin = self.penaltyBase + self.trueMinPenalty # so min penalty after adder = 7+20 = 27
self.penaltyMax = self.penaltyBase + self.trueMaxPenalty # so max penalty after adder = -19 + 20 = 1
self.trueMinPenalty = 7
self.trueMaxPenalty = -30
self.penaltyBase = (self.trueMaxPenalty * -1) + 1
self.penaltyMin = self.penaltyBase + self.trueMinPenalty
self.penaltyMax = self.penaltyBase + self.trueMaxPenalty
layerParams = {
'minPenalty': self.penaltyMin,
'maxPenalty': self.penaltyMax
}
# initialize actions for the bass1 layer
self.Knobs, self.Actions, self.ReverseActions = ComplexityKnobs.setKnobs(
'bass1', wbLevers['complexity'], layerParams)
self.numActions = len(self.Actions)
self.defaultAction = 3 #'PLAY_CHORD_PROGRESSION_TONE_FOR_PRIMARY_KEY'
# Create the bass1 environment
self.env = Environment.Bass1Environment(wbLevers['tse'],
wbLevers['phraseLength'],
wbLevers['primaryScale'],
wbLevers['mood'])
# Initialize the bass1 environment variables
self.env.InitializeEnvironment(wbLevers['primaryScale'])
#self.env.printEnvironmentVariables ()
# Initialize the RL data Structures
self.initializeQLearningObject(0)
self.trainedData = []